Literature DB >> 32371413

Disease-associated mosaic variation in clinical exome sequencing: a two-year pediatric tertiary care experience.

Cecelia R Miller1,2, Kristy Lee1,2, Ruthann B Pfau1,2,3, Shalini C Reshmi1,2,3, Donald J Corsmeier1, Sayaka Hashimoto1, Ashita Dave-Wala1, Vijayakumar Jayaraman1, Daniel Koboldt1,3, Theodora Matthews1, Danielle Mouhlas1, Maggie Stein1, Aimee McKinney1, Tom Grossman1, Benjamin J Kelly1, Peter White1,3, Vincent Magrini1,3, Richard K Wilson1,3, Elaine R Mardis1,3, Catherine E Cottrell1,2,3.   

Abstract

Exome sequencing (ES) has become an important tool in pediatric genomic medicine, improving identification of disease-associated variation due to assay breadth. Depth is also afforded by ES, enabling detection of lower-frequency mosaic variation compared to Sanger sequencing in the studied tissue, thus enhancing diagnostic yield. Within a pediatric tertiary-care hospital, we report two years of clinical ES data from probands evaluated for genetic disease to assess diagnostic yield, characteristics of causal variants, and prevalence of mosaicism among disease-causing variants. Exome-derived, phenotype-driven variant data from 357 probands was analyzed concurrent with parental ES data, when available. Blood was the source of nucleic acid. Sequence read alignments were manually reviewed for all assessed variants. Sanger sequencing was used for suspected de novo or mosaic variation. Clinical provider notes were reviewed to determine concordance between laboratory-reported data and the ordering provider's interpretation of variant-associated disease causality. Laboratory-derived diagnostic yield and provider-substantiated diagnoses had 91.4% concordance. The cohort returned 117 provider-substantiated diagnoses among 115 probands for a diagnostic yield of 32.2%. De novo variants represented 64.9% of disease-associated variation within trio analyses. Among the 115 probands, five harbored disease-associated somatic mosaic variation. Two additional probands were observed to inherit a disease-associated variant from an unaffected mosaic parent. Among inheritance patterns, de novo variation was the most frequent disease etiology. Somatic mosaicism is increasingly recognized as a significant contributor to genetic disease, particularly with increased sequence depth attainable from ES. This report highlights the potential and importance of detecting mosaicism in ES.
© 2020 Miller et al.; Published by Cold Spring Harbor Laboratory Press.

Entities:  

Keywords:  autism; delayed gross motor development; failure to thrive in infancy; microcephaly; profound global developmental delay; severe muscular hypotonia; short stature

Mesh:

Year:  2020        PMID: 32371413      PMCID: PMC7304353          DOI: 10.1101/mcs.a005231

Source DB:  PubMed          Journal:  Cold Spring Harb Mol Case Stud        ISSN: 2373-2873


INTRODUCTION

Massively parallel sequencing (MPS) of the exome has demonstrated significant diagnostic and clinical utility in patients with suspected genetic disorders (Lee et al. 2014; Farwell et al. 2015; Meng et al. 2017; Clark et al. 2018; Hu et al. 2018). Molecular diagnostic rates from clinical testing by hospital and reference laboratories performing exome sequencing (ES) range from 24% to 58%, likely influenced by laboratory-specific methodologies and by the characteristics of the patient population being evaluated (Clark et al. 2018). Given the utility of ES, it has been proposed that the assay should be considered as a first-tier molecular test (Stark et al. 2016; Hu et al. 2018). An additional advantage to this type of testing is the ability to reevaluate existing sequence data as advances in bioinformatic processing and variant detection occur over time. Furthermore, this approach allows for a consideration of the evolution of patient phenotype, in addition to the inclusion of updated/emerging data for disease–gene associations, thus further enhancing diagnostic potential (Ewans et al. 2018; Nambot et al. 2018). The increased utilization of MPS, including ES, has expanded our understanding of the contribution of somatic mosaicism in genetic disorders by enhancing our ability to identify disease-associated variants at low variant allele frequency/fraction (VAF). Genetic variation acquired during embryogenesis and resulting in the establishment of two or more genetically distinct cell populations represents postzygotic mosaicism. Disease-causing variants can be confined to the germline (gonadal mosaicism), resulting in disease when passed on to subsequent offspring. Alternatively, a genetic variant can occur in the soma of a developing embryo (somatic mosaicism), with variable levels of the variant throughout the body dependent on cell lineage. In addition, a mosaic variant affecting both the soma and germline is referred to as gonosomal mosaicism (Biesecker and Spinner 2018). The phenotypic spectrum of postzygotic somatic mosaicism can vary and is dependent upon timing of the manifestation of the variant during development, along with the proportion of cells harboring the variant and distribution across tissue types. Pathogenic variants at very low VAF in affected tissue can be sufficient to cause disease. For example, in diseases such as Sturge–Weber or vascular anomalies with overgrowth (e.g., Proteus syndrome or PIK3CA-related overgrowth spectrum [PROS]), the VAF of pathogenic variants in affected tissue has been reported as low as 1% (Lindhurst et al. 2011; Shirley et al. 2013; Hucthagowder et al. 2016). Among unselected clinical exome cohort studies of pediatric, and combined pediatric and adult populations, disease-associated mosaic variants were noted at a frequency of ∼1%–1.5% (Yang et al. 2013; Retterer et al. 2016; Cao et al. 2019). The frequency of mosaicism increases when examining for specific phenotypes. For example, in epilepsy-related neurodevelopmental disorders, 3% of the pathogenic variants identified by either an MPS epilepsy panel or ES were mosaic (Stosser et al. 2018). In certain disorders (e.g., McCune–Albright and PROS), mosaic variants are the primary mechanism of disease (Aldred and Trembath 2000; Keppler-Noreuil et al. 2015; Hucthagowder et al. 2016). We evaluated two years of clinical ES data from our laboratory within a pediatric tertiary care center to determine the characteristics of disease-associated variants within our cohort, as well as to compare the diagnostic yield reported by the laboratory versus the ordering clinical provider's interpretation of laboratory reported variant causality. We sought to evaluate the concordance of the molecular ES diagnostic rate generated by the laboratory with clinical provider-confirmed diagnoses recorded in the electronic medical record (EMR) to test if the laboratory workflow, including selection of genes relevant to the proband phenotype and subsequent variant assessment, resulted in meaningful results being reported back to the ordering provider. We further summarized the characteristics of these provider-confirmed causal variants and evaluated the contribution of mosaic variants to genetic disease within the context of these diagnoses.

RESULTS

Patient Cohort

In a consecutive 24-month period, proband (n = 357) and parental (when available, n = 601) peripheral blood samples were submitted for ES to The Steve and Cindy Rasmussen Institute for Genomic Medicine at Nationwide Children's Hospital, Columbus, Ohio. Two submitted parental samples were excluded because of nonpaternity. Cases represented 267 (74.8%) trio analyses of the proband plus both parental samples, 65 (18.2%) duo analyses of the proband and one parental sample, and 25 (7%) proband-only analyses. All cases were reviewed or referred by a clinical geneticist at the time of test order. The cohort consisted primarily of pediatric probands or young adults with symptoms that initially presented in childhood (average age = 7.2 yr, range 0–56 yr). A phenotype-informed approach was applied for tertiary analysis. The top 20 Human Phenotype Ontology (HPO) terms representing the most common clinician-provided phenotypic characteristics among probands in this population are shown in Table 1. Consistent with other ES cohorts, global developmental delay (73.4% of our cohort), abnormal facial shape (51.3%), and muscular hypotonia (51.0%) were the most frequently described features (Lee et al. 2014; Yang et al. 2014; Farwell et al. 2015).
Table 1.

Frequency of the top 20 Human Phenotype Ontology (HPO) terms used to describe features of 357 probands referred for exome sequencing

HPO IDHPO termNumber of probands (%)
HP:0001263Global developmental delay262 (73.4)
HP:0001999Abnormal facial shape183 (51.3)
HP:0001252Muscular hypotonia182 (51.0)
HP:0000750Delayed speech and language development157 (44.0)
HP:0001270Motor delay136 (38.1)
HP:0002194Delayed gross motor development127 (35.6)
HP:0001250Seizures119 (33.3)
HP:0100543Cognitive impairment98 (27.5)
HP:0001508Failure to thrive91 (25.5)
HP:0004322Short stature90 (25.2)
HP:0007010Poor fine motor coordination77 (21.6)
HP:0000252Microcephaly74 (20.7)
HP:0002020Gastroesophageal reflux69 (19.3)
HP:0000729Autistic behavior69 (19.3)
HP:0000717Autism59 (16.5)
HP:0001290Generalized hypotonia57 (16.0)
HP:0001622Premature birth56 (15.7)
HP:0002019Constipation56 (15.7)
HP:0001510Growth delay52 (14.6)
HP:0002376Developmental regression50 (14.0)
Frequency of the top 20 Human Phenotype Ontology (HPO) terms used to describe features of 357 probands referred for exome sequencing

Genomic Analyses

The clinical laboratory reported variants as likely causal for the proband's phenotype for 128 genetic disorders among 123 probands (34.5%; 95% CI, 29.5%–39.6%). Ordering provider documentation in the EMR corroborated 115 instances of the variant(s) being attributed to the etiology of the proband phenotype for a provider-substantiated diagnostic yield of 32.2% (95% CI, 27.4%–37.3%). Two probands were found to have two separate genetic disorders, for a total of 117 clinically confirmed genetic diagnoses. Clinical laboratory diagnoses and provider-substantiated diagnoses had an overall concordance of 91.4% [95% CI, 85.1%–95.6%]. Of the 11 laboratory-reported genetic disorders not substantiated by clinician data in the EMR, five were due to insufficient overlap of features, four remained in the differential for further clinical evaluation as the proband features develop, and two had discordant inheritance patterns among affected/unaffected family members. A diagnosis was determined for 10/25 (40.0%) of the proband-only analyses, 10/65 (15.4%) duo analyses, and 95/267 (35.6%) trio analyses. The patterns of inheritance for the 117 diagnoses included 75 (64.1%) autosomal dominant, 25 (21.4%) autosomal recessive, and 17 (14.5%) X-linked (Fig. 1).
Figure 1.

Distribution of variant types for 117 provider-substantiated diagnoses identified by exome sequencing in a pediatric cohort. (SNV) Single-nucleotide variant.

Distribution of variant types for 117 provider-substantiated diagnoses identified by exome sequencing in a pediatric cohort. (SNV) Single-nucleotide variant. Out of the 916 individuals consented for medically actionable findings, 29 individuals (3.2%) had variants meeting American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) criteria supportive of a Pathogenic/Likely Pathogenic classification. Eight families demonstrated a proband–parent shared finding, whereas four probands and nine parents harbored events individually. Diseases represented by these findings were Loey–Dietz syndrome (4%), malignant hyperthermia susceptibility (10%), hypertrophic cardiomyopathy (10%), familial hypercholesterolemia (14%), arrhythmogenic right ventricular cardiomyopathy (14%), long QT syndromes (24%), and hereditary breast and ovarian cancer (24%). Among 95 diagnostic ES trio studies, we identified 97 genetic disorders, of which the inheritance patterns were autosomal dominant (n = 62; 63.9%), autosomal recessive (n = 21; 21.7%), and X-linked (n = 14; 14.4%). Among the autosomal dominantly inherited diseases, 54 variants (87.1%) were confirmed as de novo, whereas nine (64.3%) of the X-linked inherited disorders were attributable to de novo variation. Overall, de novo variation accounted for 64.9% [63/97, 95% CI, 54.6%–74.4%] of the inheritance pattern of genetic disorders detected in trio ES. Of the 117 disorders, genetic disease associations were diverse among this cohort with 65% of the identified disease-associated genetic loci unique to a single proband. Recurrently involved genetic loci included CREBBP, in which causal variants associated with Rubenstein–Taybi syndrome were identified in three probands. Additionally, four probands each had causal variants in ANKRD11 and IQSEC2, associated with KBG syndrome and X-linked intellectual disability, respectively. Causal variants of provider-substantiated diagnoses are provided in Table 2 and Table 3, with the most common HPO terms describing this cohort detailed in Table 1.
Table 2.

Summary of cases with a pathogenic or likely pathogenic mosaic variant in a proband or parental sample

CaseProband gender/ageClinical phenotypeGeneZygosity/VAFChromosome (hg19)HGVS DNA and protein referenceVariant type/predicted effectParent of origin/VAFRelevant disease associationSupporting references
1Male/6 moFailure to thrive, profound hypotonia, global developmental delay, microcephalic, bilateral esotropia, short palpebral fissures, protuberant tongue, sparse scalp hair, hypsarrhythmia by long-term electroencephalographic monitoring, delayed myelination on MRIARXMosaic (12%)Chr X:25025232 C > TNM_139058.2 c.1444G > A p.(Gly482Ser)Substitution/missenseDe novo(XL) Early infantile epileptic encephalopathy 1Shoubridge et al. 2012; Shoubridge et al. 2010; Gronskov et al. 2014; Poirier et al. 2005
2Male/11 yrGeneralized epilepsy, global developmental delay, intellectual disability, autism, attention deficit hyperactivity disorder, able to walk independently with orthotics and verbally communicateCDKL5Mosaic (17%)Chr X:18602452 G > ANM_003159.2 c.533G > A p.(Arg178Gln)Substitution/missenseDe novo(XL) Early infantile epileptic encephalopathy 2Bahi-Buisson et al. 2012; Kilstrup-Nielsen et al. 2012; Mei et al. 2014; Masliah-Plachon et al. 2010; Stosser et al. 2018; Kothur et al. 2018; Olson et al. 2019
3Male/1 yrGlobal developmental delay, seizures, chorea, hypotonia, short stature, poor feeding, ptosis, frontal bossing, micrognathiaTRIP12Mosaic (12%)Chr 2:230679862 G > ANM_004238.2 c.1540C > T p.(Arg514Ter)Substitution/nonsenseDe novo(AD) Clark–Baraitser syndromeBramswig et al. 2017a; Zhang et al. 2017; Louie et al. 2020
4Male/7 yrLocalization-related partial epilepsy with complex partial seizures, nonambulatory, global developmental delay, postnatal growth retardation, intellectual disability, autism, hyperopia, chronic constipation, dysphagiaIQSEC2Hemi (98%)Chr X:53264051 G > ANM_001111125.2 c.3817C > T p.(Gln1273Ter)Substitution/nonsenseMosaic mother (11%)(XL) Mental retardation 1Barrie et al. 2019a; Ewans et al. 2017; Radley et al. 2019; Mignot et al. 2019
5Female/8 yrGlobal developmental delay, fine motor delay, hirsutism, agenesis of the corpus callosum, hypotonia, tethered spinal cord, exotropia, clubfoot, tall forehead, downslanting palpebral fissures, macrostomiaARID1AMosaic (19%)Chr 1:27092947 G > ANM_139135.2 c.2879-1G > A p.?Substitution/splicingDe novo(AD) Coffin–Siris syndrome 2Tsurusaki et al. 2012; Santen et al. 2013; Wieczorek et al. 2013
6Male/7 yrPeriventricular white matter changes on MRI, mild intellectual disability, global developmental delay, hypotonia, GERD, myopathic facies, thickened low-set ears, flared nasal alae, upturned nasal tipARID2Het (46%)Chr 12: 46245833_46245834delAGNM_152641.3 c.3927_3928delAG p.(Gly1310Glufs Ter5)Deletion/frameshiftMosaic mother (4%)(AD) Coffin–Siris syndrome 6Tsurusaki et al. 2012; Bramswig et al. 2017b; Bogershausen and Wollnik 2018
7Female/2 yrMacrocephaly, hirsutism, global developmental delay, bilateral perisylvian polymicrogyria with mildly enlarged ventricles on MRIPIK3R2Mosaic (18%)Chr 19:18273784G > ANM_005027.3 c.1117G > A p.(Gly373Arg)Substitution/missenseDe novo(AD) Megalencephaly- polymicrogyria-polydactyly- hydrocephalus syndrome 1Mirzaa et al. 2015; Riviere et al. 2012; Madsen et al. 2018

(VAF) Variant allele frequency/fraction, (hemi) hemizygous, (het) heterozygous, (N/A) not applicable, (XL) X-linked, (AD) autosomal dominant, (MRI) magnetic resonance imaging, (GERD) gastroesophageal reflux disease.

aCase previously reported.

Table 3.

Summary of causal variants in a pediatric exome cohort

CaseStudy typeGeneChromosome (hg19)HGVS DNA and protein referenceZygosityParent of originRelevant disease associationVariant assessmentACMG/AMP criteria met
Autosomal recessive (homozygous)
8aTrioAMPD2Chr 1:110172910 C > TNM_001257360.1 c.2201C > T p.(Pro734Leu)HomMat/pat(AR) Pontocerebellar hypoplasia, type 9 (OMIM: 615809); (AR) ?Spastic paraplegia 63 (OMIM: 615686)VUSPM2, PP3
COL11A1Chr 1:103488375 C > ANM_080629.2 c.1204G > T p.(Glu402Ter)HomMat/pat(AD) Stickler syndrome, type II (OMIM: 604841) (AR) fibrochondrogenesis 1 (OMIM: 228520); (AD) Marshall syndrome (OMIM: 154780)Likely pathogenicPVS1, PM2
9TrioAP4S1Chr 14:31542174 C > TNM_001254727.1 c.289C > T p.(Arg97Ter)HomMat/pat(AR) Spastic paraplegia 52, autosomal recessive (OMIM: 614067)PathogenicPVS1, PM2, PM3, PP1
10TrioHYLS1Chr 11:125769895 A > GNM_145014.2 c.632A > G p.(Asp211Gly)HomMat/pat(AR) Hydrolethalus syndrome (OMIM: 236680)PathogenicPS3, PM1, PS4_Moderate, PP1, PP3, PP5
11TrioIDUAChr 4:996535 G > ANM_000203.4 c.1205G > A p.(Trp402Ter)HomMat/pat(AR) Mucopolysaccharidosis Ih (OMIM: 607014); (AR) mucopolysaccharidosis Ih/s (OMIM: 607015); (AR) Mucopolysaccharidosis Is (OMIM: 607016)PathogenicPVS1, PS3, PS4_Moderate, PP5
12atrioKERAChr 12:91449224 G > ANM_007035.3 c.835C > T p.(Arg279Ter)HomMat/pat(AR) Cornea plana 2, autosomal recessive (OMIM: 217300)PathogenicPVS1, PM2, PS4_Moderate, PP1
POLR3BChr 12:106850924 C > TNM_018082.5 c.2302C > T p.(Arg768Cys)HomMat/pat(AR) Leukodystrophy, hypomyelinating, 8, with or without oligodontia and/or hypogonadotropic hypogonadism (OMIM: 614381)Likely PathogenicPM2, PM5, PP2, PP3
13TrioPARNChr 16:14704607 G > ANM_002582.3 c.448C > T p.(Arg150Cys)HomMat/pat(AR) Dyskeratosis congenita, autosomal recessive 6 (OMIM: 616353)Likely PathogenicPM1, PM2, PS3_Moderate, PP3
14SingletonPYCR1Chr 17:79892603 C > TNM_001282281.1 c.640G > A p.(Ala214Thr)HomUnknown(AR) Cutis laxa, autosomal recessive, type IIB (OMIM: 612940) (AR) Cutis laxa, autosomal recessive, type IIIB (OMIM: 614438)VUSPM1, PM2, PP3
Autosomal recessive (compound heterozygous)
15TrioAP4M1Chr 7:99704117 C > TNM_004722.3 c.1117C > T p.(Gln373Ter)HetPat(AR) Spastic paraplegia 50, autosomal recessive (OMIM: 612936)PathogenicPVS1, PM2, PM3
AP4M1Chr 7:99704464 C > TNM_004722.3 c.1321C > T p.(Arg441Ter)HetMat(AR) Spastic paraplegia 50, autosomal recessive (OMIM: 612936)Likely pathogenicPM2, PM3, PP3, PP5
16SingletonHBBChr 11:5248232 T > ANM_000518.4 c.20A > T p.(Glu7Val)HetUnknown(AR) Sickle cell anemia (OMIM: 603903)PathogenicPS3, PM3, PM5, PS4_Moderate, PP5
HBBChr 11:5246908 C > TNM_000518.4 c.364G > A p.(Glu122Lys)HetUnknown(AR) Sickle cell anemia (OMIM: 603903)Likely pathogenicPS4, PM2, PM3, PP5
17TrioMED25Chr 19:50331716 G > ANM_030973.3 c.316G > A p.(Gly106Arg)HetPat(AR) ?Charcot–Marie–Tooth disease, type 2B2 (OMIM: 605589); (AR) Base–Vanagait–Smirin–Yosef syndrome (OMIM: 616449)Likely pathogenicPM2, PM3, PP2, PM5
MED25Chr 19:50338388_50338397 delACCACAAGCANM_030973.3 c.1628_1637delACCACAAGCA p.(Asn543ArgfsTer51)HetMat(AR) ?Charcot–Marie–Tooth disease, type 2B2 (OMIM: 605589); (AR) Basel–Vanagait–Smirin–Yosef syndrome (OMIM: 616449)Likely pathogenicPVS1, PM2
18DuoOPA1Chr 3:193374977 delANM_130837.2 c.2287delA p.(Ser763ValfsTer15)HetUnknown(AR) Behr syndrome (OMIM: 210000); (AR) optic atrophy 1 (OMIM: 165500); (AR) optic atrophy plus syndrome (OMIM: 125250)PathogenicPVS1, PM2
OPA1Chr 3:193361167 A > GNM_130837.2 c.1311A > G p.(Ile437Met)HetMat(AR) Behr syndrome (OMIM: 210000) ;(AR) optic atrophy 1 (OMIM: 165500); (AR) optic atrophy plus syndrome (OMIM: 125250)VUSPM1, PM3, PP1, PP3; BS3
19TrioRYR1Chr 19:38951159 delGNM_000540.2 c.2505delG p.(Pro836LeufsTer48)HetPat(AR) Minicore myopathy with external ophthalmoplegia (OMIM: 255320) (AD, AR) Central core disease (OMIM: 117000)PathogenicPVS1, PM2, PP5
20TrioRYR1Chr 19:38987047 A > GNM_000540.2 c.6664-2A > G p.?HetPat(AR) Minicore myopathy with external ophthalmoplegia (OMIM: 255320); (AD, AR) central core disease (OMIM: 117000)PathogenicPVS1, PM2, PP3
RYR1Chr 19.39075637 G > ANM_000540.2 c.14701G > A p.(Glu4901Lys)HetMat(AR) Minicore myopathy with external ophthalmoplegia (OMIM: 255320); (AD, AR) central core disease (OMIM: 117000)Likely pathogenicPM1, PM3, PP2, PP3
21TrioSAMHD1Chr 20:35563513 C > TNM_015474.3 c.428G > A p.(Arg143His)HetMat(AR) Aicardi–Goutieres syndrome 5 (OMIM: 612952)PathogenicPS3, PM2, PM5, PP3, PP5
SAMHD1Chr 20:35533834 A > GNM_015474.3 c.1343T > C p.(Ile448Thr)HetPat(AR) Aicardi-Goutieres syndrome 5 (OMIM: 612952)Likely pathogenicPM2, PM3, PP3, PP4
22DuoSLC17A5Chr 6:74351533 T > CNM_012434.4 c.406A > G p.(Lys136Glu)HetUnknown(AR) Salla disease (OMIM: 604369); (AR) sialic acid storage disorder, infantile (OMIM: 269920)PathogenicPS3, PM2, PS4_Moderate, PP3, PP5
SLC17A5Chr 6:74345115 A > TNM_012434.4 c.809T > A p.(Leu270Ter)HetMat(AR) Salla disease (OMIM: 604369); (AR) sialic acid storage disorder, infantile (OMIM: 269920)PathogenicPVS1, PM2, PM3
23TrioSLC22A5Chr 5:131706028 G > TNM_003060.3 c.364G > T p.(Asp122Tyr)HetMat(AR) Carnitine deficiency, systemic primary (OMIM: 212140)Likely pathogenicPS3, PM2, PM3, PP3
SLC22A5Chr 5:131721062 C > TNM_003060.3 c.695C > T p.(Thr232Met)HetPat(AR) Carnitine deficiency, systemic primary (OMIM: 212140)PathogenicPS3, PM_PS4, PM2, PP3, PP5
24TrioSLC6A3Chr 5:1422127 C > TNM_001044.4 c.656G > A p.(Arg219His)HetMat(AR) Parkinsonism-dystonia, infantile, 1 (OMIM: 613135)VUSPM2, PP2, PP3
SLC6A3Chr 5:1416253 C > GNM_001044.4 c.991G > C p.(Ala331Pro)HetPat(AR) Parkinsonism-dystonia, infantile, 1 (OMIM: 613135)VUSPM2, PP2, PP3
25TrioSRD5A2Chr 2:31758741 T > CNM_000348.3 c.377A > G p.(Gln126Arg)HetMat(AR) Pseudovaginal perineoscrotal hypospadias (OMIM: 264600)PathogenicPS3, PM2, PM3, PS4_Moderate, PP1, PP5
SRD5A2Chr 2:31758802 delGNM_000348.3 c.317delC p.(Pro106LeufsTer25)HetPat(AR) Pseudovaginal perineoscrotal hypospadias (OMIM: 264600)Likely pathogenicPVS1, PM2
26TrioTBCDChr 17:80772747 G > ANM_005993.4 c.1255G > A p.(Gly419Arg)HetMat(AR) Encephalopathy, progressive, early-onset, with brain atrophy and thin corpus callosum (OMIM: 617193)VUSPM2, PP3
TBCDChr 17:80882859_ 80882861delGAGNM_005993.4 c.2305_2307delGAG p.(Glu769del)HetPat(AR) Encephalopathy, progressive, early-onset, with brain atrophy and thin corpus callosum (OMIM: 617193)VUSPM2
27TrioTRNT1Chr 3:3189583 C > GNM_182916.2 c.1057-7C > G p.?HetPat(AR) Retinitis pigmentosa and erythrocytic microcytosis (OMIM: 616959) (AR) Sideroblastic anemia with B-cell immunodeficiency, periodic fevers, and developmental delay (OMIM: 616084)Likely pathogenicPM2, PM3, PP3, PP5
TRNT1Chr 3:3189779 A > GNM_182916.2 c.1246A > G p.(Lys416Glu)HetMat(AR) Retinitis pigmentosa and erythrocytic microcytosis (OMIM: 616959); (AR) sideroblastic anemia with B-cell immunodeficiency, periodic fevers, and developmental delay (OMIM: 616084)Likely pathogenicPM2, PM3, PM_PS3
28TrioUBA5Chr 3:132379541 dupANM_024818.3 c.160dupA p.(Ser54LysfsTer16)HetMat(AR) Epileptic encephalopathy, early infantile, 44 (OMIM: 617132)PathogenicPVS1, PM1, PM2, PP3
UBA5Chr 3:132384835 G > ANM_024818.3 c.215G > A p.(Arg72His)HetPat(AR) Epileptic encephalopathy, early infantile, 44 (OMIM: 617132)Likely pathogenicPM1, PM2, PM3, PP2
Autosomal recessive (one SNV + one copy loss)
29TrioIFT140Chr 16:1642177 C > TNM_014714.3 c.634G > A p.(Gly212Arg)Hemi (suspected deletion on other allele)Mat(AR) Short-rib thoracic dysplasia 9 with or without polydactyly (OMIM: 266920); (AR) Retinitis pigmentosa 80 (OMIM: 617781)PathogenicPVS1, PS3, PM2, PM3, PP3, PP5
30TrioNUBPLChr 14:32319298 T > CNM_025152.2 c.815-27T > C p.?Hemi (∼400kb deletion on other allele, by array)Mat(AR) Mitochondrial complex I deficiency, nuclear type 21 (OMIM: 618242)Likely pathogenicPS3, PP3, PP5; BS1
Autosomal dominant
31TrioABCC9Chr 12:21995260 C > TNM_020297.3 c.3461G > A p.(Arg1154Gln)HetDe novo(AD) Hypertrichotic osteochondrodysplasia (OMIM: 239850)PathogenicPS1, PS2, PS3 PM2, PP2, PP3
32TrioANKRD11Chr 16:89345988_89345989 insGGCTTCGGNM_001256183.1 c.6968_6975dupCCCCGAAG p.(Ala2326ProfsTer14)HetDe novo(AD) KBG syndrome (OMIM: 148050)PathogenicPVS1, PS2, PM2
33TrioANKRD11Chr 16:89349005delCNM_001256182.1 c.3948delG p.(Leu1317Ter)HetDe novo(AD) KBG syndrome (OMIM: 148050)PathogenicPVS1, PS2, PM2, PM4
34TrioANKRD11Chr 16:89351049_ 89351053delGTTTTNM_001256182.1 c.1903_1907delAAACA p.(Lys635GlnfsTer26)HetDe novo(AD) KBG syndrome (OMIM: 148050)PathogenicPVS1, PS2, PM2, PS4_Moderate, PP1, PP5
35SingletonANKRD11Chr 16:89351049_ 89351053delGTTTTNM_001256182.1 c.1903_1907delAAACA p.(Lys635GlnfsTer26)HetUnknown(AD) KBG syndrome (OMIM: 148050)PathogenicPVS1, PS2, PM2, PS4_Moderate, PP1, PP5
36TrioABCC9Chr 12:21995375 G > ANM_005691.3 c.3346C > T p.(Arg1116Cys)HetMat(AD) Hypertrichotic osteochondrodysplasia (OMIM: 610253)Likely pathogenicPM2, PM5, PP2, PP3, PP5
37TrioACTBChr 7:5568223 G > TNM_001101.3 c.491C > A p.(Pro164His)HetDe novo(AD) ?Dystonia, juvenile-onset (OMIM: 607371); (AD) Baraitser–Winter syndrome 1 (OMIM: 243310)Likely pathogenicPS2, PM2, PP2, PP3
38TrioARID1BChr 6:157528657 C > TNM_020732.3 c.6382C > T p.(Arg2128Ter)HetDe novo(AD) Coffin–Siris syndrome 1 (OMIM: 135900)PathogenicPVS1, PS2, PM2, PP5
39TrioATP6V1AChr 3:113508666 G > ANM_001690.3 c.967A > G p.(Arg323Gly)HetDe novo(AD) Epileptic encephalopathy, infantile or early childhood, 3 (OMIM: 618012)PathogenicPS2, PM1, PM2, PP2, PP3
40TrioCACNA1CChr 12:2566837 T > CNM_199460.3 c.722T > C p.(Val241Ala)HetDe novo(AD) Timothy syndrome (OMIM: 601005); (AD) Brugada syndrome 3 (OMIM: 611875)Likely pathogenicPS2, PM1, PM2, PP3
41TrioCAMTA1Chr 1:7798409_7798411 delinsGTGCTGCNM_015215.3 c.4049_4051delinsGTGCTGC p.(Pro1350ArgfsTer18)HetMat(AD) Cerebellar ataxia, nonprogressive, with mental retardation (OMIM: 614756)PathogenicPVS1, PM2, PP1
42TrioCAV3Chr 3:8787396 T > ANM_001234.4 c.299T > A p.(Ile100Asn)HetDe novo(AD) Cardiomyopathy, familial hypertrophic (OMIM: 192600); (AD) creatine phosphokinase, elevated serum (OMIM: 123320); (AD) long QT syndrome 9 (OMIM: 611818); (AD) myopathy, distal, Tateyama type (OMIM: 614321); (AD) rippling muscle disease (OMIM: 606072)Likely pathogenicPS2, PM1, PM2, PP3
43TrioCCND2Chr 12:4409144 C > ANM_001759.3 c.839C > A p.(Thr280Asn)HetDe novo(AD) Megalencephaly-polymicrogyria-polydactyly-hydrocephalus syndrome 3 (OMIM: 615938)PathogenicPS2, PM1, PM2, PS4_Moderate, PP5
44DuoCHD2Chr 15:93485148 dupTNM_001271.3 c.789dupT p.(Glu264Ter)HetUnknown(AD) Epileptic encephalopathy, childhood-onset (OMIM: 615369)Likely pathogenicPVS1, PM2
45TrioCHD7Chr 8:61773555_61773556 delACNM_017780.3 c.7701_7702delAC p.(Arg2568AspfsTer7)HetDe novo(AD) CHARGE syndrome (OMIM: 214800); (AD) hypogonadotropic hypogonadism 5 with or without anosmia (OMIM: 612370)PathogenicPVS1, PS2, PM2
46SingletonCOL3A1Chr 2:189856222 G > TNM_000090.3 c.862G > T p.(Gly288Cys)HetUnknown(AD) Ehlers–Danlos syndrome, vascular type (OMIM: 130050)Likely pathogenicPM1, PM2, PP2, PP3
47TrioCREBBPChr 16:3779691 C > TNM_004380.2 c.5357G > A p.(Arg1786His)HetDe novo(AD) Rubinstein–Taybi syndrome 1 (OMIM: 180849)Likely pathogenicPS2, PM1, PM2, PP3
48TrioCREBBPChr 16:3789597 C > ANM_004380.2 c.4262G > T p.(Cys1421Phe)HetDe novo(AD) Rubinstein–Taybi syndrome 1 (OMIM: 180849)Likely pathogenicPS2, PM1, PM2, PP3
49TrioCREBBPChr 16:3842042 G > ANM_004380.2 c.1270C > T p.(Arg424Ter)HetDe novo(AD) Rubinstein–Taybi syndrome 1 (OMIM: 180849)PathogenicPVS1, PS2, PM2, PP5
50TrioCSNK2A1Chr 20:476405 A > TNM_177559.2 c.468T > A p.(Asp156Glu)HetDe novo(AD) Okur–Chung neurodevelopmental syndrome (OMIM: 617062)PathogenicPS2, PM1, PM2, PM5, PP2, PP3, PP5
51TrioCSNK2A1Chr 20:485826 T > CNM_177559.2 c.149A > G p.(Tyr50Cys)HetDe novo(AD) Okur–Chung neurodevelopmental syndrome (OMIM: 617062)PathogenicPS2, PM2, PM5, PP2, PP5
52TrioDYRK1AChr 21:38862468_ 38862472 delCTCTTNM_101395.2 c.665-9_665-5delCTCTT p.?HetDe novo(AD) Mental retardation, autosomal dominant 7 (OMIM: 614104)Likely pathogenicPS2, PM2, PP5
53SingletonEFTUD2Chr 17:42964119 C > GNM_004247.3 c.106-1G > C p.?HetUnknown(AD) Mandibulofacial dysostosis, Guion–Almeida type (OMIM: 610536)PathogenicPVS1, PM2, PP3
54DuoEHMT1Chr 9:140637869 dupANM_024757.4 c.870dupA p.(Arg291ThrfsTer7)HetUnknown(AD) Kleefstra syndrome 1 (OMIM: 610253)Likely pathogenicPVS1, PM2
55TrioEHMT1Chr 9:140672394 dupCNM_024757.4 c.2079dupC p.(Glu694ArgfsTer4)HetDe novo(AD) Kleefstra syndrome 1 (OMIM: 610253)PathogenicPVS1, PS2, PM2
56TrioFLGbChr 1:152285861 G > ANM_002016.1 c.1501C > T p.(Arg501Ter)HetMat(AD) Ichthyosis vulgaris (OMIM: 146700); (AD) {Dermatitis, atopic, susceptibility to, 2} (OMIM: 605803)PathogenicPVS1, PM3, PP5
FLGbChr 1:152285081_ 152285084delACGTNM_002016.1 c.2282_2285delCAGT p.(Ser761CysfsTer36)HetPat(AD) Ichthyosis vulgaris (OMIM: 146700); (AD) {Dermatitis, atopic, susceptibility to, 2} (OMIM: 605803)PathogenicPVS1, PS4, PM3, PP1
57TrioFLGbChr 1:152285861 G > ANM_002016.1 c.1501C > T p.(Arg501Ter)HetPat(AD) Ichthyosis vulgaris (OMIM: 146700); (AD) {Dermatitis, atopic, susceptibility to, 2} (OMIM: 605803)PathogenicPVS1, PS3, PP1, PP5
58TrioFOXG1Chr 14:29237138 A > GNM_005249.4 c.653A > G p.(Tyr218Cys)HetDe novo(AD) Rett syndrome, congenital variant (OMIM: 613454)Likely pathogenicPS2, PM2, PP3
59TrioFOXP1Chr 3:71026799_ 71026802delTAATNM_001244810.1 c.1420_1423delATTA p.(Ile474GlyfsTer12)HetDe novo(AD) Mental retardation with language impairment and with or without autistic features (OMIM: 613670)PathogenicPVS1, PS2, PM2
60DuoGABRB2Chr 5:160758119 A > GNM_021911.2 c.848T > C p.(Leu283Pro)HetUnknown(AD) Epileptic encephalopathy, infantile or early childhood, 2 (OMIM: 617829)VUSPM1, PM2, PP3
61TrioGABRB3Chr 15:27017618 T > ANM_000814.5 c.173-2A > T p.?HetDe novo(AD) Epileptic encephalopathy, early infantile, 43 (OMIM: 617113)Likely pathogenicPS2, PM2, PP3
62TrioGABRG2Chr 5:161569244 C > TNM_198903.2 c.964C > T p.(Pro322Ser)HetDe novo(AD) Epilepsy, generalized, with febrile seizures plus, type 3 (OMIM: 607681); (AD) epileptic encephalopathy, early infantile, 74 (OMIM: 618396)PathogenicPS2, PS3, PM2, PM5, PP2, PP3, PP5
63SingletonHNRNPKChr 9:86586597 dupTNM_031263.3 c.998dupA p.(Tyr333Ter)HetUnknown(AD) Au–Kline syndrome (OMIM: 616580)PathogenicPVS1, PS2, PM2, PP5
64TrioHRASChr 11:534289 C > TNM_005343.2 c.34G > A p.(Gly12Ser)HetDe novo(AD) Costello syndrome (OMIM: 218040); (AD) Congenital myopathy with excess of muscle spindles (OMIM: 218040)PathogenicPS2, PM1, PM2, PM5, PP5
65TrioKANSL1Chr 17:44248468 G > ANM_001193465.1 c.1042C > T p.(Arg348Ter)HetDe novo(AD) Koolen–De Vries syndrome (OMIM: 610443)PathogenicPVS1, PS2, PM2, PP5
66SingletonKMT2DChr 12:49436599 G > ANM_003482.3 c.5707C > T p.(Arg1903Ter)HetUnknown(AD) Kabuki syndrome 1 (OMIM: 147920)PathogenicPVS1, PM2, PM6, PP3, PP5
67TrioMED13LChr 12:116452999_116453015 delTCTTTGGACTGTGCATCNM_015335.4 c.1077_1093del p.(Met359IlefsTer38)HetDe novo(AD) Mental retardation and distinctive facial features with or without cardiac defects (OMIM: 616789); (AD) transposition of the great arteries, dextro-looped 1 (OMIM: 608808)PathogenicPVS1, PS2, PM2
68TrioMYT1LChr 2:1915819 A > TNM_015025.3 c.1676T > A p.(Val559Asp)HetDe novo(AD) Mental retardation, autosomal dominant 39 (OMIM: 616521)PathogenicPS2, PM1, PM2, PP3, PP2
69TrioMYT1LChr 2:1906916 A > TNM_001303052.1 c.1968T > A p.(Tyr656Ter)HetDe novo(AD) Mental retardation, autosomal dominant 39 (OMIM: 616521)PathogenicPVS1, PS2, PM2
70TrioNBEAChr 13:35923346_ 35923347delAGNM_015678.4 c.6005_6006delAG p.(Glu2002ValfsTer2)HetDe novo(AD) Seizures and intellectual disability (no OMIM) (PMID:28554332)VUSPM2, PS2_Moderate, PP3
71TrioNEDD4LChr 18:56033460 C > GNM_001144967.2 c.2063C > G p.(Thr688Arg)HetMat(AD) Periventricular nodular heterotopia 7 (OMIM: 617201)VUSPM1, PM2, PP3
72TrioNOTCH1Chr 9:139399384_ 139399385insTGNM_017617.3 c.4758_4759insCA p.(Asn1587GlnfsTer30)HetPat(AD) Adams–Oliver syndrome 5 (OMIM: 616028); (AD) aortic valve disease 1 (OMIM: 109730)Likely pathogenicPVS1, PM2
73TrioNSD2Chr 4:1906053 G > ANM_133330.2 c.708G > A p.(Trp236Ter)HetDe novo(AD) Wolf–Hirchhorn syndrome–like (PMID: 31171569, 29884796)PathogenicPVS1, PS2, PM2, PP3
74TrioNSD2Chr 4:1936884dupGNM_133330.2 c.1569dupG p.(Lys524GlufsTer17)HetDe novo(AD) Wolf–Hirchhorn syndrome–like (PMID: 31171569, 29884796)PathogenicPVS1, PS2, PM2
75TrioNSD2Chr 4:1918630 C > TNM_133330.2 c.793C > T p.(Gln265Ter)HetDe novo(AD) Wolf–Hirchhorn syndrome–like (PMID: 31171569, 29884796)PathogenicPVS1, PS2, PM2
76TrioPPP2R5DChr 6:42975698 A > CNM_006245.3 c.752A > C p.(Asp251Ala)HetDe novo(AD) Mental retardation, autosomal dominant 35 (OMIM: 616355)PathogenicPS2, PM2, PM5, PP2, PP3
77SingletonPTPN11Chr 12:112888172 A > GNM_002834.3 c.188A > G p.(Tyr63Cys)HetUnknown(AD) Noonan syndrome 1 (OMIM: 163950); (AD) LEOPARD syndrome 1 (OMIM: 151100); (AD) metachondromatosis (OMIM: 156250)PathogenicPS1, PS3, PS4, PP1_Strong, PM1, PP2, PP3
78TrioPTPN11Chr 12:112915523 A > GNM_002834.3 c.922A > G p.(Asn308Asp)HetDe novo(AD) Noonan syndrome 1 (OMIM: 163950); (AD) LEOPARD syndrome 1 (OMIM: 151100); (AD) metachondromatosis (OMIM: 156250)PathogenicPS2_VERYStrong, PS3, PS4, PP1_Strong, PM1, PP2, PP3
79TrioPUF60Chr 8:144898801 dupANM_078480.2 c.1569dupT p.(Glu524Ter)HetDe novo(AD) Verheij syndrome (OMIM: 615583)PathogenicPVS1, PS2, PM2
80SingletonRAI1Chr 17:17700943 C > TNM_030665.3 c.4681C > T p.(Arg1561Ter)HetUnknown(AD) Smith–Magenis syndrome (OMIM: 182290)PathogenicPVS1, PM2, PP3
81TrioSALL1Chr 16:51174260 C > ANM_002968.2 c.1873G > T p.(Glu625Ter)HetPat(AD) Towne–Brocks syndrome 1 (OMIM: 107480)PathogenicPVS1, PM2, PP1, PP3
82TrioSATB2Chr 2:200193509 T > GNM_015265.3 c.1298A > C p.(Tyr433Ser)HetDe novo(AD) Glass syndrome (OMIM: 612313)Likely pathogenicPS2, PM1, PM2, PP2
83TrioSATB2Chr 2:200188564 delGNM_015265.3 c.1504delC p.(Gln502LysfsTer44)HetDe novo(AD) Glass syndrome (OMIM: 612313)PathogenicPVS1, PS2, PM1, PM2
84TrioSCN1AChr 2:166850875 T > CNM_001202435.1 c.4633A > G p.(Ile1545Val)HetDe novo(AD) Epilepsy, generalized, with febrile seizures plus, type 2 (OMIM: 604403); (AD) epileptic encephalopathy, early infantile, 6 (Dravet syndrome) (OMIM: 607208); (AD) febrile seizures, familial, 3A (OMIM: 604403); (AD) migraine, familial hemiplegic, 3 (OMIM: 609634)PathogenicPS2, PM1, PM2, PP2, PP3
85TrioSCN8AChr 12:52159459 G > ANM_014191.3 c.2549G > A p.(Arg850Gln)HetDe novo(AD) Cognitive impairment with or without cerebellar ataxia (OMIM: 614306); (AD) epileptic encephalopathy, early infantile, 13 (OMIM: 614558); (AD) seizures, benign familial infantile, 5 (OMIM: 617080)PathogenicPS2, PM1, PM2, PP2, PP3, PP5
86DuoSERPINC1Chr 1:173879999 T > CNM_000488.3 c.655A > G p.(Asn219Asp)HetMat(AD,AR) Thrombophilia due to antithrombin III deficiency (OMIM: 613118)Likely pathogenicPM2, PM5, PS4_Moderate, PP2, PP3
87TrioSETD5Chr 3:9483407 A > GNM_001292043.1 c.647A > G p.(Asn216Ser)HetDe novo(AD) Mental retardation, autosomal dominant 23 (OMIM: 615761)Likely pathogenicPS2, PM2, PP3, BP1
88TrioSHANK3Chr 22:51160025_ 51160037 delGGGCCCAGCCCCCNM_033517.1 c.3764_3776del p.(Arg1255LeufsTer25)HetDe novo(AD) Phelan–McDermid syndrome (OMIM: 606232)PathogenicPVS1, PS2, PM2
89TrioSLC2A1Chr 1:43394689 G > ANM_006516.2 c.988C > T p.(Arg330Ter)HetDe novo(AD,AR) GLUT1 deficiency syndrome 1, infantile onset, severe (OMIM: 606777); (AD) GLUT1 deficiency syndrome 2, childhood onset (OMIM: 612126); (AD) dystonia 9 (OMIM: 601042); (AD) Stomatin-deficient cryohydrocytosis with neurologic defects (OMIM: 608885)PathogenicPVS1, PS2, PM2, PP3, PP5
90TrioSLC2A1Chr 1:43394649 dupCNM_006516.2 c.1028dupG p.(Met344HisfsTer37)HetDe novo(AD,AR) GLUT1 deficiency syndrome 1, infantile onset, severe (OMIM: 606777); (AD) GLUT1 deficiency syndrome 2, childhood onset (OMIM: 612126); (AD) dystonia 9 (OMIM: 601042); (AD) Stomatin-deficient cryohydrocytosis with neurologic defects (OMIM: 608885)PathogenicPVS1, PS2, PM2
91TrioSMAD4Chr 18:48604676 A > GNM_005359.5 c.1498A > G p.(Ile500Val)HetDe novo(AD) Myhre syndrome (OMIM: 139210); (AD) juvenile polyposis/hereditary hemorrhagic telangiectasia syndrome (OMIM: 175050); (AD) polyposis, juvenile intestinal (OMIM: 174900)PathogenicPS2, PS3, PM1, PM2, PM5, PP2, PP3, PP5
92TrioSONChr 21:34929623 G > ANM_138927.3 c.6321 + 1G > A p.?HetDe novo(AD) ZTTK syndrome (OMIM: 617140)PathogenicPVS1, PS2, PM2
93TrioSTXBP1Chr 9:130440731_ 130440740dup AAGCCGGAGCNM_003165.3 c.1381_1390dupAAGCCGGAGC p.(Arg464GlnfsTer31)HetDe novo(AD) Epileptic encephalopathy, early infantile, 4 (OMIM: 612164)PathogenicPVS1, PS2, PM2
94TrioSTXBP1Chr 9:130440777 C > GNM_003165.3 c.1427C > G p.(Ser476Ter)HetDe novo(AD) Epileptic encephalopathy, early infantile, 4 (OMIM: 612164)PathogenicPVS1, PS2, PM2
95DuoSYNGAP1Chr 6:33411735 C > TNM_006772.2 c.3406C > T p.(Gln1136Ter)HetUnknown(AD) Mental retardation, autosomal dominant 5 (OMIM: 612621)Likely pathogenicPVS1, PM2
96TrioTBL1XR1Chr 3:176767798 G > ANM_024665.4 c.689C > T p.(Ser230Phe)HetDe novo(AD) Mental retardation, autosomal dominant 41 (OMIM: 616944) (AD) Pierpont syndrome (OMIM: 602342)Likely pathogenicPS2, PM2, PP2, PP3
97TrioTBX1Chr 22:19750829 T > CNM_005992.1 c.476T > C p.(Leu159Pro)HetDe novo(AD) DiGeorge syndrome (OMIM: 188400); (AD) tetralogy of Fallot (OMIM: 187500); (AD) velocardiofacial syndrome (OMIM: 192430)Likely pathogenicPS2, PM2, PP3
98TrioTCF4Chr 18:52921925 G > ANM_001243226.2 c.1459C > T p.(Arg487Ter)HetDe novo(AD) Corneal dystrophy, Fuchs endothelial, 3 (OMIM: 613267); (AD) Pitt–Hopkins syndrome (OMIM: 610954)PathogenicPVS1, PS2, PS3, PM2, PS4_Moderate
99DuoTUBB4AChr 19:6495765 C > TNM_001289123.1 c.898G > A p.(Asp300Asn)HetUnknown(AD) Dystonia 4, torsion, autosomal dominant (OMIM: 128101); (AD) leukodystrophy, hypomyelinating, 6 (OMIM: 612438)PathogenicPS2, PS3, PM1, PM2, PP2, PP3
100TrioZEB2Chr 2:145156329 C > ANM_014795.3 c.2425G > T p.(Glu809Ter)HetDe novo(AD) Mowat–Wilson syndrome (OMIM: 235730)PathogenicPVS1, PS2, PM2, PP3
101TrioZEB2Chr 2:145157206_145157213 delCACTACCGNM_014795.3 c.1541_1548delCGGTAGTG p.(Pro514GlnfsTer3)HetDe novo(AD) Mowat-Wilson syndrome (OMIM: 235730)PathogenicPVS1, PS2, PM2
X-linked
102TrioDDX3XChr X:41203603 C > TNM_001356.4 c.976C > T p.(Arg326Cys)HetDe novo(XLD,XLR) Mental retardation, X-linked 102 (OMIM: 300958)PathogenicPS2, PM1, PM2, PM5, PP2, PP3
103SingletonDDX3XChr X:41205795_ 41205796delATNM_001356.4 c.1535_1536delAT p.(His512ArgfsTer5)HetUnknown(XLD,XLR) Mental retardation, X-linked 102 (OMIM: 300958)PathogenicPVS1, PM1, PM2, PM6, PS4_Moderate
104TrioIQSEC2Chr X:53263455 delGNM_001111125.2 c.4419delC p.(Ser1474ValfsTer21)HetDe novo(XLD) Mental retardation, X-linked 1/78 (OMIM: 309530)PathogenicPVS1, PS2
105TrioIQSEC2Chr X:53277294 A > GNM_001111125.2 c.2582 + 2T > C p.?HetDe novo(XLD) Mental retardation, X-linked 1/78 (OMIM: 309530)PathogenicPVS1, PS2, PM2
106TrioIQSEC2Chr X:53277371 G > ANM_001111125.2 c.2507C > T p.(Ala836Val)HetUnknown(XLD) Mental retardation, X-linked 1/78 (OMIM: 309530)Likely pathogenicPS2, PM2, PS4_Moderate, PP3
107TrioKDM5CChr X:53223464 C > ANM_004187.3 c.3895G > T p.(Glu1299Ter)HetDe novo(XLR) Mental retardation, X-linked, syndromic, Claes–Jensen type (OMIM: 300534)PathogenicPVS1, PS2, PM2
108TrioMECP2Chr X:153296860 G > ANM_004992.3 c.419C > T p.(Ala140Val)HemiMat(XLR) Mental retardation, X-linked, syndromic 13 (OMIM: 300055); (XLR) encephalopathy, neonatal severe (OMIM: 300673); (XLR) mental retardation, X-linked syndromic, Lubs type (OMIM: 300260); (XLD) Rett syndrome (OMIM: 312750) (XL) {Autism susceptibility, X-linked 3} (OMIM: 300496)PathogenicPS3, PM1, PM2, PS4_Moderate, PP1, PP3, PP5
109TrioMED12Chr X:70349963 C > GNM_005120.2 c.3946C > G p.(Gln1316Glu)HemiMat(XLR) Opitz–Kaveggia syndrome (OMIM: 305450); (XLR) Lujan–Fryns syndrome (OMIM: 309520); (XLR) Ohdo syndrome, X-linked (OMIM: 300895)VUSPM2, PP3
110TrioNAA10Chr X:153197853 A > CNM_003491.3 c.257T > G p.(Leu86Arg)HetDe novo(XL) ?Microphthalmia, syndromic 1 (OMIM: 309800); (XLD,XLR) Ogden syndrome (OMIM: 300855)PathogenicPS2, PM1, PM2, PP2, PP3
111TrioPIGAChr X:15339728 T > ANM_002641.3 c.1355A > T p.(Asp452Val)HemiDe novo(XLR) Multiple congenital anomalies-hypotonia-seizures syndrome 2 (OMIM: 300868); (XLR) paroxysmal nocturnal hemoglobinuria, somatic (OMIM: 300818)Likely pathogenicPS2, PM2, PP3
112DuoPIGAChr X:15349685 G > ANM_002641.3 c.368C > T p.(Thr123Met)HemiMat(XLR) Multiple congenital anomalies-hypotonia-seizures syndrome 2 (OMIM: 300868) (XLR) Paroxysmal nocturnal hemoglobinuria, somatic (OMIM: 300818)Likely pathogenicPM1, PM2, PP3, PP5
113TrioRPS6KA3Chr X:20213249 G > ANM_004586.2 c.340C > T p.(Arg114Trp)HemiMat(XLD) Coffin–Lowry syndrome (OMIM: 303600)Likely pathogenicPM1, PM2, PS4_Moderate, PP1, PP2, PP3
114TrioRPS6KA3Chr X:20179827 G > ANM_004586.2 c.1894C > T p.(Arg632Ter)HemiDe novo(XLD) Coffin–Lowry syndrome (OMIM: 303600)PathogenicPVS1, PS2, PM2, PP5
115TrioSMC1AChr X:53410095 dupTNM_001281463.1 c.3053dupA p.(Arg1019AlafsTer26)HetUnknown(XLD) Cornelia de Lange syndrome 2 (OMIM: 300590)PathogenicPVS1, PM2

(HGVS) Human Genome Variation Society, (ACMG/AMP) American College of Medical Genetics and Genomics/Association for Molecular Pathology, (hemi) hemizygous, (het) heterozygous, (hom) homozygous, (mat) maternal, (pat) paternal, (AR) autosomal recessive, (AD) autosomal dominant, (XL) X-linked, (XLD) X-linked dominant, (XLR) X-linked recessive, (VUS) variant of uncertain significance.

aProband with two disorders.

bSemidominant.

Summary of cases with a pathogenic or likely pathogenic mosaic variant in a proband or parental sample (VAF) Variant allele frequency/fraction, (hemi) hemizygous, (het) heterozygous, (N/A) not applicable, (XL) X-linked, (AD) autosomal dominant, (MRI) magnetic resonance imaging, (GERD) gastroesophageal reflux disease. aCase previously reported. Summary of causal variants in a pediatric exome cohort (HGVS) Human Genome Variation Society, (ACMG/AMP) American College of Medical Genetics and Genomics/Association for Molecular Pathology, (hemi) hemizygous, (het) heterozygous, (hom) homozygous, (mat) maternal, (pat) paternal, (AR) autosomal recessive, (AD) autosomal dominant, (XL) X-linked, (XLD) X-linked dominant, (XLR) X-linked recessive, (VUS) variant of uncertain significance. aProband with two disorders. bSemidominant. The proportion of the causal variant allele was documented for proband and parental samples from all cases with a provider-substantiated diagnosis by evaluation of VAF. Among the 115 provider-substantiated diagnostic cases with 117 disorders, a causal variant with a VAF < 20% (Supplemental Table 1) occurred in five probands and contributed to 4.3% [95% CI, 1.4%–9.9%] of our total diagnoses and 7.9% [95% CI, 2.6%–17.6%] of our confirmed de novo variants. As established within our pipeline, heterozygous calls (0/1 genotype) rarely deviate toward extreme allelic proportions, with 0.3% of high-confidence calls within a reference standard occurring at VAF < 20 or VAF > 80 (Supplemental Fig. 1). In addition, causal variants in two probands were found in a mosaic state in two unaffected parents (0.3% of available parental samples). All mosaic variants were verified by Sanger sequencing analysis as evidenced by disparate peak height in the electropherogram (Supplemental Fig. 2). In total, mosaic etiology in a proband, or that originating in a parent with transmission to a proband, was associated with seven out of 117 (6.0%) provider-substantiated genetic diagnoses. These mosaic variants were recurrently associated with several types of disorders, predominately involving neurodevelopmental features, including early infantile epileptic encephalopathies, intellectual disability syndromes, Coffin–Siris syndrome, and megalencephaly-polymicrogyria-polydactyly-hydrocephalus syndrome (MPPH) (Table 3).

DISCUSSION

We evaluated the concordance of the molecular ES diagnostic rate generated by the clinical laboratory with ordering clinical provider-substantiated diagnoses. Our results demonstrate the robust clinical utility of ES, with 91.4% of the laboratory findings reported as likely causal for the proband phenotype resulting in a clinically confirmed diagnosis by the ordering provider. This concordance may increase over time, as four laboratory-reported diagnostic cases were still under consideration in the patient differential. The high concordance rate may be attributable to the detailed clinical feature information form submitted by an experienced clinical geneticist or genetic counselor at the time of ES ordering, additional curation of the medical record as performed by the variant analysis team or laboratory genetic counselor to enable a phenotype-informed variant analysis approach, and the multidisciplinary expertise achieved by group evaluation of annotated, filtered variants in a case conference setting. Within our primarily pediatric population, we obtained a 32.2% diagnostic yield, with 64.9% of causal variants identified by trio analysis confirmed as de novo. These numbers are in line with previously reported exome and genome sequencing diagnostic yields (average = 31%) and de novo rates (average = 44%) (Clark et al. 2018). In comparison to other large clinical exome sequencing cohorts, our study found a similar rate of cases submitted for trio analysis. In addition, the distribution of AD, AR, and XL inheritance patterns of causal variants were also comparable (Yang et al. 2013, 2014; Lee et al. 2014; Farwell et al. 2015; Retterer et al. 2016). Of the 115 diagnostic cases, we confirmed mosaicism of a disease-associated variant in five probands and two parental samples. The contribution of parental mosaicism may be higher, given that trio analyses were available for 74.8% of our cases. The frequency of mosaicism in our cohort is higher than what has previously been reported in unselected clinical exome sequencing cohorts (Yang et al. 2013; Retterer et al. 2016; Cao et al. 2019). Several differences between our study and previous reports may contribute to this difference, including sequencing in a hospital-based laboratory representing a pediatric patient population referred by clinical geneticists within a single institution, stringent quality control metrics for sequencing data (including both assay and variant quality measures), diagnostic yield based on EMR clinical substantiation versus solely a laboratory-defined molecular diagnostic yield, and manual evaluation of all assessed variants with specific review of aligned reads and variant characteristics in proband and parental samples. Our positive mosaic findings contributed to several types of disorders associated with neurodevelopmental features including Coffin–Siris syndrome (n = 2), early infantile epileptic encephalopathy (n = 2), intellectual disability syndromes (n = 2), and the brain overgrowth syndrome MPPH (n = 1). The presence of mosaicism in these patients is consistent with the reported association of mosaic variants within these types of disorders (Krupp et al. 2017; Lim et al. 2017; Madsen et al. 2018; Stosser et al. 2018). The enrichment of our pediatric ES population for various neurodevelopmental features, such as developmental delays, cognitive impairment, and autistic behavior, also may have contributed to the high prevalence of mosaicism seen within this cohort. Identifying that a disease-causing variant is mosaic can have several implications when counseling families. Although the presence of mosaicism is generally unable to predict disease severity, as often only a single tissue type is available for study, it can be informative in providing a clinical explanation for a proband with a mild presentation. In this cohort, detection of mosaicism provided a mechanism to explain a mildly affected male diagnosed with the X-linked disorder, early infantile epileptic encephalopathy 2, primarily seen in females (Case 2). Identifying mosaicism in proband or parental samples is of particular importance to inform recurrence risk in future pregnancies. Evaluating parental samples for the presence of mosaicism can also be beneficial for providing an explanation for why a parent positive for pathogenic variant may be mildly symptomatic or unaffected, as evidenced in this series by the unaffected mother with an IQSEC2 mosaic variant, which was hemizygous in the affected proband, as well as his affected brother (Case 4, previously reported by Barrie et al. 2019). Mosaic variants can be challenging to detect clinically because of several factors, and consensus guidelines addressing how to detect, assess, and report mosaicism are not currently available. These variants can occur at very low frequencies and thus may be below the threshold of detection if coverage or read depth is insufficient at the affected residue. Acuna-Hidalgo et al. (2015) modeled that the probability of detecting mosaicism at 100× coverage is >90% for variants occurring at 10% VAF or higher. However, the ability to detect these variants decreases considerably with decreasing read depth. The higher sequence depth in coding regions typically achieved by exome sequencing thus offers an advantage for detecting mosaicism compared to genome sequencing, because of cost-related limitations to genome sequencing read depth. Despite sufficient coverage across a given region, if the variant is present in a limited number of reads, it may be below the sensitivity of the variant caller software. In our cohort, one of the mosaic variants in a parental sample (Case 6), the ARID2 variant at 4% VAF, was not detected by the variant caller and came to attention during manual review of reportable variants within aligned sequencing reads. This highlights the utility in manual review of variant calls within the aligned reads to evaluate variant authenticity. Alternatively, identifying an authentic mosaic variant can also present a challenge. With MPS, false-positive variants may occur by several means. These include biologic contamination during sample acquisition, nucleic acid extraction, or library preparation, low-level admixture during sequencing, or as a result of sample carryover from prior sequencing runs, as well as polymerase chain reaction (PCR) or sequencing artifacts (incorporation errors and library chimeras). Additionally, index hopping can result in false positive calls at very low-level as single-indexed reads can incur misassignment of indices within multiplexed libraries, a phenomenon known to be enhanced on patterned flow cells in short-read sequencing chemistries. The confounding variable of index hopping in the setting of trio analyses can be decreased by the use of dual indexing of libraries (Costello et al. 2018). To increase confidence in calling mosaicism and rare, low-frequency variants, the addition of dual-indexed libraries containing unique identifiers known as molecular barcodes (Kinde et al. 2011; Schmitt et al. 2012) allows discrimination of improperly indexed libraries and random errors. In this study, all de novo and mosaic variants called with single-indexed libraries were confirmed by Sanger sequencing. Evidence of the low-level variant allele could be visualized for all mosaic variants by review of peak heights in the electropherogram. A priori knowledge of suspected mosaicism facilitated review of Sanger sequencing data and enabled scrutiny of allelic peak heights, including the variant allele relative to background. Thus, data points from two orthogonal methodologies (MPS and Sanger) were considered prior to report out of a mosaic call. The variant with a VAF of 4% in a maternal sample (Case 6) was visualized by Sanger sequencing, despite being below the threshold typically appreciable by this method (∼10%–20%), because of the nature of the variant (2-nt deletion), as well as prior observation of the heterozygous variant in the proband. However, if the VAF is too low to be appreciable by Sanger, high-depth amplicon sequencing or other quantitative approaches including digital droplet PCR could be used. The testing of alternative tissue sources can also be considered to aid in confirming suspected mosaicism in patients, although multiple tissue sources may be required, and may be impractical or impossible to obtain. Authentic mosaic variants with high VAFs can also be challenging to detect, as they may be mistaken for heterozygous calls that deviate from the expected 50% VAF because of technical variation and platform bias (Acuna-Hidalgo et al. 2015). Outside of technical limitations of the assay, mosaic variants can go undetected when the variant is confined to specific tissue types. In these cases, sequencing of the affected tissues is required for detection. Confinement of mosaicism in a parent to predominately or exclusively germline cells would also go undetected by clinical ES trio analysis and typically only comes to light in instances of multiple affected children from an otherwise unaffected parent. In conclusion, our study highlights two years of an ongoing ES assay within a pediatric tertiary care institution and emphasizes the utility of clinical-provider engagement in ES test ordering and phenotypic curation, as demonstrated by the strong concordance of laboratory-reported and ordering provider-substantiated diagnostic yield. Additionally, we demonstrate that mosaicism is an important contributor to disease-causing variation identified by ES within the pediatric population. Given that our diagnostic yield of mosaic variants exceeds those reported by other ES studies, vigilant manual review of variant calls by a highly skilled variant analysis team and clinical laboratory directors may be a key differentiator in detecting somatic mosaic events. This must occur in concert with adequate read depth and breadth of the assay, appropriate bioinformatic processing parameters, and in consideration of the proband's clinical characteristics to attribute causality. As we begin to appreciate the expanding role of mosaicism in genetic disease, further research on the types of disorders with mosaicism, clinical implications, and optimal laboratory practices for identifying and reporting mosaicism are needed.

METHODS

Sequencing, Bioinformatics, and Quality Control

Proband and parental peripheral blood samples were submitted for ES to The Steve and Cindy Rasmussen Institute for Genomic Medicine at Nationwide Children's Hospital, Columbus, Ohio. Prior to ES studies, microarray analysis was previously performed on the submitted proband, unless deemed to not be clinically indicated by the ordering provider (5% of the cohort). Genomic DNA was extracted using the Puregene DNA isolation kit according to the manufacturer protocol (QIAGEN) or EZ1 DNA isolation kit (QIAGEN), with two separate DNA extractions performed per each submitted proband and parental sample to facilitate identity and provenance analyses. Genotyping of 30 autosomal loci representing single-nucleotide variants with high population minor allele frequency was performed in the parental and proband samples using a custom Agena MassArray panel (Agena). Subsequently, a comparison of the Agena-derived genotype data was performed relative to aligned sequencing read data derived by MPS to further ensure sample provenance throughout the extraction, library preparation, sequencing, and bioinformatic analysis stages, as well as to verify familial relationships. Libraries were subject to target capture using SureSelect Human All Exon V6 (Agilent) followed by paired-end 101- or 151-bp sequencing to 137× mean depth on a HiSeq 2500 or HiSeq 4000 (Illumina), with 96.5% of targeted bases at 20× or greater (Supplemental Table 2). Sequencing data were demultiplexed and analyzed by GenomeNext (Columbus, OH) v1.1, which performs alignment to the reference sequence (GRCh37/hg19 Feb 2009), deduplication, and single sample variant calling with GATK Unified Genotyper 1.6–13 via the Churchill secondary analysis pipeline (Kelly et al. 2015). Mitogen (Sunquest) was used for annotation and tertiary analysis filtering informed by clinician-provided phenotypes, which were converted into HPO terms (Kohler et al. 2017). As standard of practice in our exome workflow, aligned sequencing reads in the BAM file were reviewed at all assessed variants using the Integrative Genomics Viewer v2.3-2.4.4 (Broad) (Robinson et al. 2011). This allowed for a review of variant authenticity and encompassed an examination of read counts and strandedness, location of the variant within the read, VAF, homology, read quality, and mapping. Manual review of read-aligned proband data was performed relative to review of identity-confirmed parental sequence to allow for side-by-side comparison, with IGV alignment preferences set to allow for display of coverage allele-fraction threshold at 2% and retention of soft-clipped reads. Genomic regions with known homology as defined by Mandelker et al. (2016) have been incorporated into ES analysis through BED file track definitions to visually flag the level of homology of the local region in IGV. Parentage was confirmed in our data set for all de novo calls, with familial relationships established by genotyping per our standard workflow. Hemizygous variants were X-linked variants identified in >95% of reads in male patients. Homozygous calls applied to autosomal variants in >95% of reads. Variants deviating to the extreme of VAF <20 or >80 were considered suspicious for mosaicism, and subsequently underwent orthogonal testing by Sanger sequencing. Sanger sequencing was performed on proband and available parental samples for all de novo variants and suspected mosaic variants identified as likely causal for the proband phenotype. Analysis by Sanger was used to distinguish from MPS or PCR artifact, and verify reduction in allelic ratio as visualized by disparate peak heights for mosaicism. For Sanger sequencing, PCR amplification of the region of interest was followed by purification using the QIAquick purification kit (QIAGEN). Forward and reverse sequencing reactions were performed with the Big Dye v3.1 terminator mix (ThermoFisher). Sequencing was performed on an Applied Biosystems 3130 or 3730 instrument (ThermoFisher). Mosaic variants were confirmed by observation of a nonreference allele with a disparate peak height during Sanger analysis.

Variant Interpretation

Custom scripting allowed for enrichment of variant attribute data including disease association and phenotype overlap. For each proband, the annotated filtered variant list was evaluated at a case conference attended by laboratory directors, genetic counselors, variant scientists, residents, fellows, and geneticists, including the ordering provider, when available. Variants that met group consensus were assessed according to ACMG/AMP recommendations (Richards et al. 2015). Following assessment, variants are reported as either likely causal for proband phenotype or as findings of undetermined clinical relevance to the proband phenotype based upon strength of phenotype overlap with the associated disease at the discretion of the ABMGG board-certified signing director. Laboratory diagnostic yield was defined as the number of cases with a variant or variants reported as likely causal for the proband phenotype. Concordance between the laboratory and the ordering provider as to reported variant-associated disease causality was examined via clinical documentation in the EMR. Variants were considered clinically confirmed as causal if the ordering provider attributed some or all features in the proband to the variant(s).

ADDITIONAL INFORMATION

Data Deposition and Access

The mosaic variants were submitted to ClinVar (http://www.ncbi.nlm.nih.gov/clinvar/) under accession numbers SCV001161761.1, SCV001161762.1, SCV001161763.1, SCV000864353.2, SCV001161764.1, SCV001161765.1, and SCV001161766.1. Additional variants from the 117 diagnostic cases have been deposited to ClinVar under submitter Institute for Genomic Medicine (IGM) Clinical Laboratory, Nationwide Children's Hospital. Details are provided in the supplemental material. Deposition of raw sequencing data is not permitted based on patient consent.

Ethics Statement

All patients or their guardians provided written informed consent for genomic sequencing. This research is under a protocol approved by the Institutional Review Board at Nationwide Children's Hospital (IRB18-00662).

Acknowledgments

We thank the patients, families, and clinicians involved in these cases. We acknowledge Maria Alfaro, PhD, Erik Zmuda, PhD, and Julie Gastier-Foster, PhD for their contributions in clinical patient care.

Author Contributions

C.R.M. prepared the manuscript. All authors contributed to design of workflows and data procurement and reviewed and approved the manuscript. C.E.C. supervised the study.

Competing Interest Statement

The authors have declared no competing interest.

Referees

Tomi Pastinen Anonymous
  53 in total

Review 1.  A genomic view of mosaicism and human disease.

Authors:  Leslie G Biesecker; Nancy B Spinner
Journal:  Nat Rev Genet       Date:  2013-05       Impact factor: 53.242

2.  Genotype-phenotype correlation: Inheritance and variant-type infer pathogenicity in IQSEC2 gene.

Authors:  Elizabeth S Barrie; Catherine E Cottrell; Julie Gastier-Foster; Scott E Hickey; Anup D Patel; Stephanie L Santoro; Maria P Alfaro
Journal:  Eur J Med Genet       Date:  2019-08-12       Impact factor: 2.708

3.  Haploinsufficiency of the E3 ubiquitin-protein ligase gene TRIP12 causes intellectual disability with or without autism spectrum disorders, speech delay, and dysmorphic features.

Authors:  Jing Zhang; Tomasz Gambin; Bo Yuan; Przemyslaw Szafranski; Jill A Rosenfeld; Mohammed Al Balwi; Abdulrahman Alswaid; Lihadh Al-Gazali; Aisha M Al Shamsi; Makanko Komara; Bassam R Ali; Elizabeth Roeder; Laura McAuley; Daniel S Roy; David K Manchester; Pilar Magoulas; Lauren E King; Vickie Hannig; Dominique Bonneau; Anne-Sophie Denommé-Pichon; Majida Charif; Thomas Besnard; Stéphane Bézieau; Benjamin Cogné; Joris Andrieux; Wenmiao Zhu; Weimin He; Francesco Vetrini; Patricia A Ward; Sau Wai Cheung; Weimin Bi; Christine M Eng; James R Lupski; Yaping Yang; Ankita Patel; Seema R Lalani; Fan Xia; Paweł Stankiewicz
Journal:  Hum Genet       Date:  2017-03-01       Impact factor: 4.132

4.  Exonic Mosaic Mutations Contribute Risk for Autism Spectrum Disorder.

Authors:  Deidre R Krupp; Rebecca A Barnard; Yannis Duffourd; Sara A Evans; Ryan M Mulqueen; Raphael Bernier; Jean-Baptiste Rivière; Eric Fombonne; Brian J O'Roak
Journal:  Am J Hum Genet       Date:  2017-08-31       Impact factor: 11.025

5.  Mosaicism for c.431_454dup in ARX causes a mild Partington syndrome phenotype.

Authors:  Karen Grønskov; Birgitte Diness; Michelle Stahlhut; Monica Zilmer; Zeynep Tümer; Anne-Marie Bisgaard; Karen Brøndum-Nielsen
Journal:  Eur J Med Genet       Date:  2014-04-13       Impact factor: 2.708

Review 6.  What we know and would like to know about CDKL5 and its involvement in epileptic encephalopathy.

Authors:  Charlotte Kilstrup-Nielsen; Laura Rusconi; Paolo La Montanara; Dalila Ciceri; Anna Bergo; Francesco Bedogni; Nicoletta Landsberger
Journal:  Neural Plast       Date:  2012-06-17       Impact factor: 3.599

7.  Identification of new TRIP12 variants and detailed clinical evaluation of individuals with non-syndromic intellectual disability with or without autism.

Authors:  Nuria C Bramswig; H-J Lüdecke; M Pettersson; B Albrecht; R A Bernier; K Cremer; E E Eichler; D Falkenstein; J Gerdts; S Jansen; A Kuechler; M Kvarnung; A Lindstrand; D Nilsson; A Nordgren; R Pfundt; L Spruijt; H M Surowy; B B A de Vries; T Wieland; H Engels; T M Strom; T Kleefstra; D Wieczorek
Journal:  Hum Genet       Date:  2016-11-15       Impact factor: 5.881

8.  Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics.

Authors:  Benjamin J Kelly; James R Fitch; Yangqiu Hu; Donald J Corsmeier; Huachun Zhong; Amy N Wetzel; Russell D Nordquist; David L Newsom; Peter White
Journal:  Genome Biol       Date:  2015-01-20       Impact factor: 13.583

9.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

10.  Characterisation of mutations of the phosphoinositide-3-kinase regulatory subunit, PIK3R2, in perisylvian polymicrogyria: a next-generation sequencing study.

Authors:  Ghayda M Mirzaa; Valerio Conti; Andrew E Timms; Christopher D Smyser; Sarah Ahmed; Melissa Carter; Sarah Barnett; Robert B Hufnagel; Amy Goldstein; Yoko Narumi-Kishimoto; Carissa Olds; Sarah Collins; Kathreen Johnston; Jean-François Deleuze; Patrick Nitschké; Kathryn Friend; Catharine Harris; Allison Goetsch; Beth Martin; Evan August Boyle; Elena Parrini; Davide Mei; Lorenzo Tattini; Anne Slavotinek; Ed Blair; Christopher Barnett; Jay Shendure; Jamel Chelly; William B Dobyns; Renzo Guerrini
Journal:  Lancet Neurol       Date:  2015-10-29       Impact factor: 44.182

View more
  7 in total

1.  Enhanced MAPK1 Function Causes a Neurodevelopmental Disorder within the RASopathy Clinical Spectrum.

Authors:  Marialetizia Motta; Luca Pannone; Francesca Pantaleoni; Gianfranco Bocchinfuso; Francesca Clementina Radio; Serena Cecchetti; Andrea Ciolfi; Martina Di Rocco; Mariet W Elting; Eva H Brilstra; Stefania Boni; Laura Mazzanti; Federica Tamburrino; Larry Walsh; Katelyn Payne; Alberto Fernández-Jaén; Mythily Ganapathi; Wendy K Chung; Dorothy K Grange; Ashita Dave-Wala; Shalini C Reshmi; Dennis W Bartholomew; Danielle Mouhlas; Giovanna Carpentieri; Alessandro Bruselles; Simone Pizzi; Emanuele Bellacchio; Francesca Piceci-Sparascio; Christina Lißewski; Julia Brinkmann; Ronald R Waclaw; Quinten Waisfisz; Koen van Gassen; Ingrid M Wentzensen; Michelle M Morrow; Sara Álvarez; Mónica Martínez-García; Alessandro De Luca; Luigi Memo; Giuseppe Zampino; Cesare Rossi; Marco Seri; Bruce D Gelb; Martin Zenker; Bruno Dallapiccola; Lorenzo Stella; Carlos E Prada; Simone Martinelli; Elisabetta Flex; Marco Tartaglia
Journal:  Am J Hum Genet       Date:  2020-07-27       Impact factor: 11.025

Review 2.  Molecular and cellular events linking variants in the histone demethylase KDM5C to the intellectual disability disorder Claes-Jensen syndrome.

Authors:  Hayden A M Hatch; Julie Secombe
Journal:  FEBS J       Date:  2021-09-18       Impact factor: 5.542

3.  MIPP-Seq: ultra-sensitive rapid detection and validation of low-frequency mosaic mutations.

Authors:  Ryan N Doan; Michael B Miller; Sonia N Kim; Rachel E Rodin; Javier Ganz; Sara Bizzotto; Katherine S Morillo; August Yue Huang; Reethika Digumarthy; Zachary Zemmel; Christopher A Walsh
Journal:  BMC Med Genomics       Date:  2021-02-12       Impact factor: 3.063

4.  Maternal mosaicism for a missense variant in the SMS gene that causes Snyder-Robinson syndrome.

Authors:  Mohammad Marhabaie; Scott E Hickey; Katherine Miller; Olivia Grischow; Kathleen M Schieffer; Samuel J Franklin; David M Gordon; Samantha Choi; Theresa Mihalic Mosher; Peter White; Daniel C Koboldt; Richard K Wilson
Journal:  Cold Spring Harb Mol Case Stud       Date:  2021-12-09

5.  Somatic variation as an incidental finding in the pediatric next-generation sequencing era.

Authors:  Marilena Melas; Mariam T Mathew; Mari Mori; Vijayakumar Jayaraman; Sarah A Wilson; Cortlandt Martin; Amanda E Jacobson-Kelly; Ben J Kelly; Vincent Magrini; Elaine R Mardis; Catherine E Cottrell; Kristy Lee
Journal:  Cold Spring Harb Mol Case Stud       Date:  2021-12-09

6.  Genome sequencing identifies three molecular diagnoses including a mosaic variant in the COL2A1 gene in an individual with Pol III-related leukodystrophy and Feingold syndrome.

Authors:  Kayla J Muirhead; Amanda R Clause; Zinayida Schlachetzki; Holly Dubbs; Denise L Perry; R Tanner Hagelstrom; Ryan J Taft; Adeline Vanderver
Journal:  Cold Spring Harb Mol Case Stud       Date:  2021-12-09

7.  Inherited and de novo variants extend the etiology of TAOK1-associated neurodevelopmental disorder.

Authors:  Jesse M Hunter; Lauren J Massingham; Kandamurugu Manickam; Dennis Bartholomew; Rachel K Williamson; Jennifer L Schwab; Mohammad Marhabaie; Amy Siemon; Emily de Los Reyes; Shalini C Reshmi; Catherine E Cottrell; Richard K Wilson; Daniel C Koboldt
Journal:  Cold Spring Harb Mol Case Stud       Date:  2022-03-24
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.