Literature DB >> 30293248

Contribution of next generation sequencing in pediatric practice in Lebanon. A Study on 213 cases.

Pratibha Nair1, Sandra Sabbagh2, Hicham Mansour3, Ali Fawaz4, Ghassan Hmaimess3, Peter Noun3, Rawane Dagher5, Hala Megarbane6, Sayeeda Hana1, Saada Alame4, Maher Lamaa7, Dana Hasbini8, Roula Farah3, Mariam Rajab9, Samantha Stora10, Oulfat El-Tourjuman8,9, Pauline Abou Jaoude3, Gihad Chalouhi11, Rony Sayad12, Anne-Celine Gillart10, Mahmoud Al-Ali1, Valerie Delague13, Stephany El-Hayek1, André Mégarbané10.   

Abstract

BACKGROUND: According to the Catalogue of Transmission Genetics in Arabs, less than half of diseases reported in Lebanese patients are mapped. In the recent years, Next Generation Sequencing (NGS) techniques have significantly improved clinical diagnosis, compared to traditional sequencing methods.
METHODS: A total of 213 analyses by NGS (167 by whole exome sequencing (WES) and 46 by multigene panels tests) were performed on pediatric patients across different regions of Lebanon over a period of two years (December 2015-December 2017).
RESULTS: Neurological disorders were the most frequent referral demand for both WES and gene panels (122/213). Pathogenic, likely pathogenic, or variants of unknown significance were identified in 69.5% of the WES and panel patients combined. Over half of the patients with such variants had an autosomal recessive disorder. A definite molecular diagnosis (pathogenic or likely pathogenic variants) was achieved in 34.1% and 47.8% of the patients studied by WES and the multigene panels, respectively. Thirty-three novel variants were found in the cases that were molecularly solved; 26 of these being identified by WES and seven by the multigene panels. In three consanguineous families, autosomal recessive inheritance of genes previously reported as showing dominant inheritance patterns were found. Biallelism was found in six cases, digenism in four cases, and one case was trigenic.
CONCLUSION: Our study thus suggests that NGS tools are valuable for an improved clinical diagnosis, and highlights that the increased adoption of such techniques will significantly further improve our understanding of the genetic basis of inherited diseases in Lebanon.
© 2018 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc.

Entities:  

Keywords:  consanguinity; gene; panel; variants; whole exome sequencing

Mesh:

Year:  2018        PMID: 30293248      PMCID: PMC6305638          DOI: 10.1002/mgg3.480

Source DB:  PubMed          Journal:  Mol Genet Genomic Med        ISSN: 2324-9269            Impact factor:   2.183


INTRODUCTION

The most recent review of genetic disorders in Lebanon reports a total of 378 diseases diagnosed in Lebanese individuals, most of which are not accompanied by any molecular analysis (Nakouzi, Kreidieh, & Yazbek, 2015). According to the Catalogue of Transmission Genetics in Arabs (CAGS, 2018), less than half of diseases reported in Lebanese patients are mapped. In the recent years, with the advent of newer molecular techniques in Lebanon, this has begun to change. Next Generation Sequencing (NGS) techniques have significantly improved clinical diagnosis, compared to traditional sequencing methods (LaDuca et al., 2017; Neveling et al., 2013). In fact, with the adoption of techniques such as array‐CGH, gene panels, and whole exome/genome sequencing in Lebanon, not only has the identification of the origin of various disorders been enhanced, but such techniques have also helped more accurately confirm or correct previous diagnoses (Megarbane, 2018). Still, patients in Lebanon often tend to opt out of the recommended genetic testing, as such tests are not covered by insurance and thus have to be personally financed. In this report, we present the results of a study which included a total of 213 analyses by NGS (167 by whole exome sequencing (WES) and 46 by multigene panels tests) performed on pediatric patients, over a period of two years (December 2015–December 2017). Our analyses identified positive results in 69.5% of the patients who underwent either WES or panel testing. Our study thus suggests that these tools are valuable for an improved clinical diagnosis, and highlights that the increased adoption of such techniques will significantly further improve our understanding of the genetic basis of inherited diseases in Lebanon.

MATERIALS AND METHODS

Ethical compliance

This study is conformed to the tenets of the Declaration of Helsinki, and was supervised and approved by an international ethical committee.

Patients

The patients included in this series were referred for genetic counselling by their treating physician, mostly pediatricians and neurologists. Patients were below the age of 16, came from different regions of Lebanon, and were seen over a period of two years (December 2015–December 2017). Informed consent for genetic analysis was obtained from the patients’ parents, in compliance with national ethics regulation. For the patients who underwent WES analysis, the possibility to reveal incidental findings that are not necessarily related to the reason for ordering the sequencing but could still be of medical importance, was also discussed, with the option to decline receiving such findings. Incidental findings were reported in accordance with the ACMG recommendations, and taken from the list of 59 actionable genes (Kalia et al., 2017). For WES, only the index patients were sequenced. Approximately 37 Mb (214,405 exons) of the Consensus Coding Sequences (CCS) were enriched from fragmented genomic DNA by more than 340,000 probes designed against the human genome (Nextera Rapid Capture Exome, Illumina) and the generated library sequenced on an Illumina NextSeq or HiSeq 4,000 platform (Illumina) to an average coverage depth 70–100X. An end to end bioinformatics pipelines including base calling, primary filtering of low quality reads and probable artefacts, and annotation of variants was applied. For panel tests, different clinically themed multigene panels were offered: neurological disorders including seizures and neuromuscular disorders, inborn errors of metabolism, primary immunodeficiency and fever of unknown origin, oncology, renal diseases, dermatological disorders, and cardiac malformations. Genomic DNA obtained from the submitted sample was enriched for targeted regions using a hybridization‐based protocol, and sequenced. All targeted regions were sequenced with ≥50x depth. In case of a normal result, a search for deletion/duplication was performed as well using Multiplex Ligation‐dependent Probe Amplification (MLPA) technique.

Mutational analysis

The in silico bioinformatic tool MutationTaster (https://www.mutationtaster.org/) was used to predict the effect of the identified variant. Variant novelty was assessed based on its absence from public variant repositories including GnomAD, and 1000G, as well as an in‐house database housing over 715 exomes belonging to Arab individuals from the Arabian Peninsula. To assess conservation of the point of insertion and subsequent residues, multiple protein sequence alignment across multiple species was obtained from Homologene (https://www.ncbi.nlm.nih.gov/homologene). According to the ACMG recommendations (Richards et al., 2015), variants were classified as: Class 1: pathogenic variant; class 2: likely pathogenic variant; class 3: variant of unknown significance; class 4: probably non pathogenic variant; class 5: benign/normal variant. A positive result was considered when variants of class 1 or 2 were identified and when a class 3 variant was found, as these are potentially positive. The identification of class 1 or 2 variants was considered a definite molecular diagnosis.

RESULTS

A total of 213 pediatric patients were included in this series. A WES was performed for 167 patients and for 46 of them, a multigene panel was used. In 108 of the WES patients, a positive result was considered and 123 variants were found: 61 of class 1–2 of which 26 novel ones (Table 1); and 62 of class 3. Fifty‐eight patients were homozygous, three compound heterozygous, 12 had two genes possibly involved in their pathology, and 34 patients were heterozygous. In one patient, class 1 and class 2 variants in three genes (THOC6 (OMIM 615,403), PTCH2 (OMIM 603,673) and EDAR (OMIM 604,095)) were found to be at the origin of their clinical features.
Table 1

Variants identified by WES in our patients

GeneTranscriptcDNAProteinNoveltyPrimary manifestationDiagnosis post WES
Heterozygous variants
KMT2A NM_001197104.1c.2627_2630delp.Arg876ThrfsNovelDD; ID; Short stature (Neurological)Wiedeman Steiner disease
RYR1 NM_000540.2c.8758C>Tp.Arg2920*NovelDD, MD; joint contratures; elevated CK; slightly increased lactic acid (Neurological)Central core disease
LDB3 NM_001171610.1 c.694G>A p.D232N rs121908338
CDHR1 NM_033100.3c.420T>Ap.Tyr140*NovelCone‐rod dystrophy; visual impairment (Ophthalmological)Retinitis pigmentosa 65
GATA2 NM_032638.4c.1032_1036dupp.Gly346GlufsNovelHearing impairment; motor delay; lower limb edema (Immune/hematology)Immune deficiency
SMARCA4 NM_001128849.1c.3506Ap.Asp1169GlyNovelDD; coarse face; encephalocele; omphalocele; bifid uvula; sub mucous cleft palate; ataxia; muscular hypotonia (Multiple system disease)Coffin‐Siris type 4
CACNA1A NM_023035.2c.997A>Gp.Asn333AspNovelDD; ID; Hypotonia; seizures (Neurological)Infantile epileptic encephalopathy type 42
NF1 NM_001042492.2c.1019_1020delp.Ser340CysfsNovelCafé‐au‐lait spots (Dermatological)Neurofibromatosis
PTCH2§ NM_003738.4c.528delp.Met176IlefsNovelhydrocephalus; DD; ID; abnormal gait; carse face, malformation of heart and great vessels; short stature; undescended testis; micropenis (Multiple system)
RET NM_020975.4c.2735G>Ap.R912Qrs78347871
PKHD1 NM_138694.3 c.5086 T>G p.S1696A Novel Spina bifida; Polycystic kidney; hepatic fibrosis (Renal)Polycystic kidney disease
COL7A1 NM_000094.3c.6082G>Ap.Gly2028Argrs762162799Epidermolysis bullosa (Dermatological)Epidermolysis bullosa, Bart type
FGA NM_000508.3c.2587delp.V864Xrs773678959Thromboembolic cerebral accident; short extremities; seizures (Immune/hematology)Congenital dysfibrinogenemia
KANSL1 NM_015443.3c.808_809delp.L270Vfsrs551541795DD; ID; muscular hypotonia; ptosis; short stature; hyperlaxity (Multiple systems)Koolen‐De Vries syndrome
COMP NM_000095.2c.2156G>A pp.Gly719Asprs137852655Short stature; abnormal bones (Skeletal)Pseudoachondroplasia
CTCF NM_006565.c.1670_1674delp.Cys557*rs886041901DD; ID; microcephaly; short stature (Neurological)Mental retardation type 21
GAA NM_000152.3c.266G>Ap.R89Hrs200586324DD; ID; microcephaly; lactic acidosis (Multiple systems)Pompe disease
PTPN11 NM_002834.3c.417G>Cp.Glu139Asprs397507520Short stature; heart malformation (Multiple systems)Noonan syndrome
EDAR§ NM_022336.3c.486delp.Ser163ArgfsGnomadhydrocephalus, DD; ID; abnormal gait; coarse face; malformation of heart and great vessels; short stature; undescended testis; micropenis (Multiple systems)
TTN NM_001267550.2c.36040A>Tp.Lys12014*Noveldelayed motor development; muscular hypotonia; lactic acidosis (Neurological)LGMD type 2J
TTN NM_001267550.2c.68529delp.Pro22844LeufsNovel
ABCD4 NM_001353592.1c.362G>Ap.Arg121Hisrs201744101DD; hypotonia; respiratory distress; aciduria (Neurological)Methylmalonic aciduria with homocystinuria
ABCD4 NM_001353592.1c.1520C>Ap.A507ENovel
ALPL NM_000478.4c.668G>Ap.R223Qrs199665722Short stature; bowed legs; abnormal gait (Skeletal)Hypophosphatasia
ALPL NM_000478.4 c.449 T>G p.I150S Novel
TBK1 NM_013254.3c.2079_2082dep.Glu695Argfs*16NovelJuvenile arthritis; abnormal gait; Regression (Neurological)Amyotrophic lateral sclerosis
CBL NM_005188.3c.2629G>Ap.Ala877Thrrs1477997244DD; vertebral malformations; tracheoesophageal fistula (Multiple systems)Noonan like syndrome
LDLR NM_000527.4c.718G>Ap.Glu240Lysrs137943601Hypercholesterolemia
SPINK5 NM_001127698.1 c.2423C>T p.Thr808Ile rs1212676320 Congenital ichthyosis (Dermatological)Netherton syndrome
ATM NM_000051.3c.7630–2A>Crs587779866Ataxia; leukemia (Neurological)Ataxia‐Telangiectasia
JAK2 NM_004972.3 c.1597A>T p.N533Y Novel
LAMA3# NM_198129.2 c.6115C>T p.(Arg2039Cys) rs138451075 Difficulty walking; abnormal lower motor neuron morphology (Neurological)
Homozygous variants
LAMA2 NM_000426.3c.8244+3_8244+6delNovelMD; elevated CK (Neurological)Congenital muscular dystrophy, merosin‐deficient
COL4A4 NM_000092.4c.1802delp.P601QfsNovelNephrotic syndrome; hematuria; progressive hearing loss (Multiple system)Alport syndrome
UNC80 NM_032504.1c.7697A>Cp.(Glu2566Ala)NovelDD; ID; hypotonia, dysmorphic facial features; failure to thrive (Neurological)NALCN channelopathies
SZT2 NM_015284.3c.7341–2A>GNovelDD; Seizures (Neurological)Epileptic encephalopathy type 18
MCCC2 NM_022132.4c.158 T>Cp.Val53AlaNovelDD; ID; hypotonia; failure to thrive; acidosis (Neurological)3‐Methylcrotonyl‐CoA carboxylase 2 deficiency
PNPLA1 NM_001145717.1c.535C>Tp.Gln179*NovelCongenital ichthyosis; keratoderma (Dermatological)Ichthyosis, congenital, type 10
NTRK1 NM_002529.3c.2205+1G>ANovelDD; ID; anhydrosis; insensitivity to pain (Neurological)Insensitivity to pain, congenital, with anhidrosis
NALCN NM_052867.3c.3056dupp.Leu1019PhefsNovelDD; ID; hypotonia, regression; dysmorphic facial features (Neurological)NALCN channelopathies
PDE6D NM_002601.3c.367_368insGp.L123Cfs*13NovelDD; ID; failure to thrive (Neurological)Joubert syndrome type 22
THOC6§ NM_024339.4c.893delp.Pro298GnlfsNovelhydrocephalus; DD; ID; abnormal gait; coarse face; malformation of heart and great vessels; short stature; undescended testis; micropenis (Multiple systems)
ARSA NM_000487.5c.827C>Tp.Thr276Metrs74315472abnormal myelination; developmental regression; hypotonia (Multiple systems)Metachromatic leukodystrophy
RNASEH2B NM_024570.3c.529G>Ap.Ala177Thrrs75184679Neurological regression (Neurological)Aicardi‐Goutieres syndrome 2
PSAT1 NM_058179.3c.296C>Tp.Ala99Valrs587777778Microcephaly; coarse face; early death (Multiple systems)Neu‐Laxova type 2
ALDOB NM_000035.3c.524C>Ap.Ala175Asprs76917243Failure to thrive; lactic acidosis; gastrointestinal problems (Neurological)Fructose intolerance
CD27 NM_001242.4c.158G>Ap.C53Yrs397514667Hepatosplenomegaly; abnormal immune system (Immune/hematology)Lymphoproliferative syndrome type 2
PEX7 NM_000288.3c.875T>Ap.L292Xrs1805137DD; short stature; bone malformation; failure to thrive (Neurological)Rhizomelic chondrodysplasia punctata, type 1
AP4S1 NM_007077.4c.138+3_138+6delrs876661295ID; spastic paraplegia (Neurological)Spastic paraplegia 52
GBE1 NM_000158.3c.986A>Gp.Tyr329Cysrs80338671Failure to thrive; hepatosplenomegaly; muscle weakness (Neurological)Glycogen storage disease type 4
PLA2G6 NM_003560.3c.2370T>Gp.Tyr790*rs121908680DD; ID; seizures; cerebellar atrophy (Neurological)Infantile neuroaxonal dystrophy 1
EIF2B5 NM_003907.2c.407G>Ap.Arg136Hisrs958193703Macrocephaly; ataxia; seizures; regression; leukoencephalopathy; cerebral cysts (Neurological)Leukoencephalopathy with vanishing white matter
ARSA NM_000487.5c.433C>Gp.R145Grs199476373Abnormal myelination; developmental regression; hypotonia; hyperreflexia; nystagmus (Neurology)Metachromatic leukodystrophy
CLN8 NM_018941.3c.610C>Tp.Arg204Cysrs104894060DD; ID; seizures; regression; cerebellar atrophy (Neurological)Ceroid lipofuscinosis type 8
PCCA NM_000282.3c.1209+3A>GGNOMADDD; ID; regression; muscular hypotonia; neuropathy; abnormal hair; failure to thrive; severe encephalopathy; Nerves disease (Neurological)Propionic acidemia
FKRP NM_024301.4c.823C>Tp.Arg275Cysrs1247934219MD; elevated CK (Neurological)LGMD type 5C
CNTNAP1 NM_003632.2c.3361C>Tp.Arg1121*rs142756549Arthrogryposis; failure to thrive (Neurological)Lethal congenital contracture syndrome 7
TBK1# NM_013254.3c.2079_2082delp.Glu695Argfs*16NovelAbnormal gait; motor neuron disease (Neurological)TBK−1 related phenotype
TWNK NM_021830.4c.1003C>Ap.Pro335ThrNovelID; muscle weakness; seizures; decreased mitochondrial respiratory chain complex activity (Neurological)Mitochondrial DNA depletion syndrome type 7
ASPA NM_000049.2c.497C>Tp.Thr166IleID; DD; macrocephaly; regression (Neurological)Canavan Disease
VAMP1 NM_014331.3c.97C>Tp.Arg33rs1308616721Arthrogryposis; myopathic process (Neurological)VAMP−1 related disorder
EXT2 NM_000401.3c.110C>Tp.Ser37Leurs527624522DD;ID; seizures; microcephaly; failure to thrive (Neurological)Autosomal recessive EXT2 related syndrome
Hemizygous variants
HDAC8 NM_018486.2c.562G>Ap.Ala188ThrNovelDD; ID; dysmorphic features; microcephaly (Multiple systems)Cornelia de Lange type 5
ABCD1 NM_000033.3c.1813C>Gp.Leu605ArgNovelNeuroregression; hearing problems; adrenal insufficiency (Neurology)Adrenoleukodystrophy
HDAC8 NM_018486.2c.958G>Ap.Gly320Argrs398122909DD; ID; hirsutism; short stature; microcephaly (Multiple systems)Cornelia de Lange type 5
MECP2 NM_001110792.1c.509C>Tp.T170Mrs28934906DD; regression (Neurological)Rett syndrome
OPHN1 NM_002547.2c.4G>Cp.Gly2Argrs1200813419ID; cerebellar hypoplasia (Neurological)X‐linked mental retardation with cerebellar hypoplasia

Only patients with at least one Class 1–2 variant are shown. Variants in italics are class 3. Rows marked with § represents a patient with pathogenic mutations in three genes. Rows marked with # represent a patient with pathogenic mutations in two different genes. Variants within the same box were identified in the same patient. The primary pathology identified in the patients is written within parentheses in the “Primary Manifestation” column.

DD: developmental delay; ID: Intellectual disability; CK: creatine kinase; MD: muscular dystrophy.

Variants identified by WES in our patients Only patients with at least one Class 1–2 variant are shown. Variants in italics are class 3. Rows marked with § represents a patient with pathogenic mutations in three genes. Rows marked with # represent a patient with pathogenic mutations in two different genes. Variants within the same box were identified in the same patient. The primary pathology identified in the patients is written within parentheses in the “Primary Manifestation” column. DD: developmental delay; ID: Intellectual disability; CK: creatine kinase; MD: muscular dystrophy. For the patients for whom a WES was performed, 68 (40.7%) had related parents (first degree or second degree cousins). For 45 patients (26.9%), consanguinity was denied although the parents originated from the same village. In consanguineous patients, 55 had a positive result (80.9%). In the 45 patients with parents originated from the same village, 37 (82.2%) had positive results. In patients with non‐related parents (54), 16 had positive results (29.4%) (Figure 1).
Figure 1

Proportion of WES positives among patients with consanguineous and non‐consanguineous parents

Proportion of WES positives among patients with consanguineous and non‐consanguineous parents Neurological disorders were the most frequent referral demand for WES: 102/167. Among those, 62 patients had positive results, 35 of them with class 1–2 variants. Five patients with dermatological features and five with skeletal features were referred, and all had positive results, of which four (dermatological) and two (skeletal) had class 1–2 variants. For ophthalmological cases, out of the five referred patients, four had positive results (1 had a class 1–2 variant) and for the renal cases, four out of six were positive, with one patient having one class 1–2 variant. All three patients referred for immune and hematology disease had class 1–2 variants, while the two patients referred for unknown fever and endocrinology had negative results. Finally, 39 patients were referred for multiple anomalies involving many systems. A positive result was noted in 25 of them, where 11 patients had class 1–2 variants (Figure 2).
Figure 2

All patients studied by WES categorized according to their primary manifestation

All patients studied by WES categorized according to their primary manifestation Ninety‐six percent of the patients/parents of patients (161/167) who underwent WES agreed to receive pathogenic/likely pathogenic variants that were not directly related to their phenotypic features. In 6 cases (3.7%), a positive incidental result was noted. Forty‐six patients, of whom 50.9% came from consanguineous families, underwent multigene panel tests. In 40 (86.9%) of these patients a positive result was found, and 44 variants were identified. In 22 of those patients, 24 class 1–2 variants were found, seven of which were found to be novel (Table 2). A class 1–2 variant was found in 52.3% of the patients that were investigated with a neurological panel; in 20% of the ones with an oncology panel, in 50% of the metabolic panel, 16.6% of cardiac panel, and 100% of the renal, dermatological and primary immunodeficiency and fever of unknown origin panels (Figure 3). Six patients (13%) had negative results. None of the patients with negative results had any deletion/duplication detected following MLPA analysis.
Table 2

Variants identified by multigene panel testing

GeneTranscriptcDNAProteinNoveltyPrimary manifestationDiagnosis post panel
Heterozygous variants
LAMA2NM_001079823.1c.3829C>Tp.Arg1277*Novel
LAMA2NM_001079823.1c.1300C>Tp.Arg434*rs1374568851MD; elevated CK (Neurological)Merosin deficiency
CFTRNM_000492.3c.3846G>Ap.Trp1282*rs77010898Chronic pancreatitis (Metabolic)Chronic pancreatitis
CFTRNM_000492.3c.3883_3886delp.Ile295PhefsNovel
CFTRNM_000492.3c.3909C>Gp.Asn1303Lysrs80034486Chronic pancreatitis (Metabolic)Chronic pancreatitis
CFTR NM_000492.3 c.1211G>T p.Gly404Val rs1324302547
SCN1ANM_001165963.2c.4907G>Ap.Arg1636Glnrs121917995Early seizures (Neurological)Dravet syndrome
SCN1ANM_001165963.2c.2593C>Tp.Arg865*rs794726697Early seizures (Neurological)Dravet syndrome
TSC2NM_001114382.2c.1832G>Ap.Arg611Glnrs28934872ID; DD; seizures (Neurological)Bourneville Tuberous sclerosis
NF1NM_001128147.2c.499_502delTGTTp.Cys167Glnfsrs786201874Café‐au‐lait spots (Dermatological)Neurofibromatosis
RB1NM_000321.2c.2247_2248insAAp.Asp750LysfsNovelBilateral Retinoblastoma (Oncological)Retinoblastoma
FBN1NM_000138.4c.7713T>Gp.Cys2571TrpNovelTall stature (Neurological)Marfan syndrome
SOS1NM_005633.3c.1352C>Ap.T451Krs730880218ID; DD; cardiac malformation (Cardiac)Noonan syndrome
WT1NM_024426.4c.1250G>Tp.Gly417Valrs869025561Nephrotic syndrome (Renal)Nephrotic syndrome type 4
Homozygous variants
MMACHCNM_015506.2c.271dupp.Arg91Lysfsrs398124292ID; DD; failure to thrive (Metabolic)Methylmalonic aciduria
BCKDHBNM_183050.3c.995C>Tp.Pro332LeuNovelKetosis; lactic acidosis; elevated leucine‐isoleucine‐valine (Metabolic)Maple syrup urine disease
GALNSNM_000512.4c.898+1G>Ars761850746Short stature; severe scoliosis (Neurological)Mucopolysaccharidosis type IVA
SGCGNM_000231.2Deletion of exon 7ReportedMD; slightly elevated CK (Neurological)Limb‐girdle muscular dystrophy type 2C
MMACHCNM_015506.2c.472T>Cp.Phe158Leurs201312386Ketosis; lactic acidosis; elevated leucine‐isoleucine‐valine (Metabolic)Maple syrup urine disease
JAK3NM_000215.3c.2141C>Tp.Thr714Metrs140655992Failure to thrive; recurrent infections; diarrhea (Immune/fever)Severe combined immunodeficiency
LAMA3NM_198129.2c.1789–7_1789–5delTTCNovelEpidermolysis bullosa (Dermatological)Epidermolysis bullosa Herlitz type
Hemizygous variants
DMDNM_004006.2c.4071+1G>Ars1060502643MD; elevated CK (Neurological)Duchenne muscular dystrophy
DMDNM_004006.2c.1283delp.Asn428IlefsNovelMD; elevated CK (Neurological)Duchenne muscular dystrophy
SLC6A8NM_005629.3c.1661C>Tp.Pro554Leurs397515559ID; DD; failure to thrive; microcephaly; seizures (Neurological)Cerebral creatine deficiency syndrome
GJB1NM_001097642.2c.164_184dupp.Thr55_An61dupNovelMuscle atrophy; gait disturbance; reduced motor nerve conduction (Neurological)Charcot‐Marie‐Tooth neuropathy X type 1

Only patients with at least one Class 1–2 variant are shown. The variant in italic is a class 3 variant. Variants within the same box were identified in the same patient. The type of panel used is mentioned within parentheses under the “Primary Manifestation” column.

DD: developmental delay; ID: Intellectual disability; CK: creatine phosphokinase; MD: muscular dystrophy.

Figure 3

Type of panel employed and positive cases identified

Variants identified by multigene panel testing Only patients with at least one Class 1–2 variant are shown. The variant in italic is a class 3 variant. Variants within the same box were identified in the same patient. The type of panel used is mentioned within parentheses under the “Primary Manifestation” column. DD: developmental delay; ID: Intellectual disability; CK: creatine phosphokinase; MD: muscular dystrophy. Type of panel employed and positive cases identified

DISCUSSION

We applied WES and multigene panels for molecular diagnosis in 213 pediatric patients referred from different areas across Lebanon. Out of all patients combined, a pathogenic or likely pathogenic variant leading to a molecular diagnosis was found in 79 patients (37.1%). This diagnostic rate was 34.1% for patients studied by WES and 47.8% for those analyzed by multigene panels. The higher diagnostic rate for panels was expected, since panels were ordered mainly in the cases where the clinician was relatively more confident about characterizing the underlying genetic condition. Recent studies have noted higher diagnostic yields from WES in pediatric cohorts with suspected monogenic disorders (Charng et al., 2016; Dillon et al., 2018; Tan et al., 2017). This could be due to the fact that physicians in Lebanon tend to order WES analysis only for complex cases, and rarely when they have a relatively strong clinical suspicion to help them along. It is important to note that in some cases (about 10%–15% of referrals), the diagnosis was rightfully suspected, and thus causal mutation could have been identified by Sanger sequencing, however, parents opted for WES or gene panels instead, because of the relatively high cost of Sanger sequencing. Moreover, parents were more inclined to opt for WES rather than panels because of the ability of WES to uncover incidental findings and because the cost of the two does not differ significantly. Out of the 79 patients who had class 1–2 variants, 53.2% had an autosomal recessive disorder, 35.4% an autosomal dominant disorder, and 11.4% a X‐linked disorder (Figure 4). The relatively high number of autosomal recessive disorders is most probably secondary to the high consanguinity rate. This is consistent with several previous reports from the Arab region in areas that exhibit high rates of consanguinity (Alfares et al., 2017; Al‐Shamsi, Hertecant, Souid, & Al‐Jasmi, 2016). Indeed, in total, nearly 60% of the patients had related parents or are suspected to have related parents. The percentage of positive cases in the families which denied consanguinity but were from the same village (82.2%) is comparable to that in consanguineous families (80.9%), suggesting that the in the former, the parents could indeed be related (Figure 1).
Figure 4

Mode of inheritance in patients identified with class 1 and class 2 variants by both WES and panel studies

Mode of inheritance in patients identified with class 1 and class 2 variants by both WES and panel studies Neurological problems were the most frequent referral demand for both WES and multigene panels (122/213). It is noteworthy that in the neurological referral demands for WES, seven of the patients were autistic, and in none of them a positive result in any relevant gene(s) was found, suggesting that NGS in purely autistic patients may offer little benefit. In some cases, genetic testing finds that the patient has more than one variant involved in the pathogenicity of the disease (Lupski, Belmont, Boerwinkle, & Gibbs, 2011; Megarbane, 2018). In such instances, several rare variants are shown to cause a disease in combination, one being the “Highly penetrant Mendelizing Variant”, responsible for the disease, and other variant(s) modifying the phenotype (Lupski et al., 2011). As the pipeline we followed for identifying causal variants relied on checking for variants in genes already known to be associated with relevant phenotypes, our study was therefore not suited to easily diagnose the cases where the association of variants in different genes could be at the origin of the disease. For instance, in this study, only seven patients (six from the WES series and one from the panel series) had more than one variant detected, one of which was classified as pathogenic or likely pathogenic, and the other was a class 3 variant (variant of unknown significance). The class 3 variants in all six of the WES patients were in genes different from the primary gene carrying the Class 1 or 2 mutation. Additionally, one patient was identified to carry pathogenic mutations in three different genes (Tables 1 and 2). In three consanguineous families, we observed autosomal recessive inheritance of genes previously reported as showing dominant inheritance patterns, namely VAMP1 (OMIM 185,880), TBK1 (OMIM 604,834) and EXT2 (OMIM 608,210) genes. In those three families, parents were heterozygous and healthy. Similar observations have been previously reported in the Arab region (El Bazzal, Atkinson, Gillart, Delague, & Mégarbané, 2018; Monies et al., 2017). This further emphasizes the importance of not dismissing variants that do not fit previously reported patterns of inheritance (Monies et al., 2017). In nearly a third of the patients, a potential positive result was obtained as only a class 3 variant was found. In three of these cases, the possibility to study the segregation of the disease allowed us to rule out the involvement of the class 3 variant in the pathology. Certain findings within our study highlight the importance of accompanying NGS analysis with an informed and specialized interpretation by a geneticist, coupled with proper genetic counseling. For instance, one patient with a class 2 mutation was re‐evaluated and classified as a class 5 variant. Three patients had false negative results. For those, a causal mutation was found after Sanger sequencing of the suspected genes (these variants were not listed in Table 1 as they were not identified by WES). Reviewing the fastq files showed that the involved genes were not fully covered. In another example, in two patients with recessive conditions, WES was able to identify only single heterozygous variations in relevant genes. However, because of the strong phenotype‐genotype correlation in these cases, we further studied the respective genes by Sanger sequencing. In the first of these cases, this approach enabled the identification of a second pathogenic variant in the ABCD4 gene (OMIM 603,214). However, in the second case, a patient with a heterozygous variant in the ATM gene (OMIM 607,585), we were unable to find a second mutation even after an MLPA exam. RNA analysis will be performed soon. Moreover, around 65 of the 213 cases (30.5%) remain unsolved as of the time of writing. As most of the cases tested in WES were solo cases, and because of the pipeline used for analyzing the results, we were unable to find any novel candidate genes in our patients which we believe could explain the origin of the pathology in many cases as it was showed in other reports (Monies et al., 2017). With this in mind, in six families with more than two affected sibs further investigations are pending. Furthermore, negative results could in part be due to insufficient coverage or alternatively because, for some patients, a large number of variants were identified, making it difficult to pinpoint the causative variant without any segregation analysis. It is worth noting that for three patients who had negative results, an array CGH was performed and a pathogenic variation was found in one. Three couples who presented with a history of prior affected children were offered duo tests because none of the affected children were available for testing. For these families, we were able to identify the likely causal mutation, however they were not included in this paper. In 96% of cases where WES was performed, the patients or their parents agreed to receive any incidental findings classified as pathogenic/likely pathogenic, even if they are not related to the original referral phenotype. Our study identified six patients who had incidental class 1 or class 2 mutations in genes belonging to the 59 actionable genes as recommended by ACMG (Kalia et al., 2017). In one of these patients, the incidental finding was related to a risk of sudden death. A familial screening was performed and the carrier members were referred to cardiac specialist for better follow‐up. This result emphasizes the importance of genetic counselling, which unfortunately lacks strongly in Lebanon (Nakouzi et al., 2015). As is the case in many developing countries, the implementation and wide adoption of NGS has been hindered mostly by the costly finances associated with establishing and running a sequencing facility as well as the lack of expertise, and the cost of such genetic services (Helmy, Awad, & Mosa, 2016). Lebanon suffers from a scarcity of clinical geneticists and a lack of genetic counseling services (Nakouzi et al., 2015). This is especially a problem, given the high number of genetic disorders in the Lebanese population (Nakouzi et al., 2015) and the sudden increase in the number of residents in Lebanon, given the huge influx of Syrian refugees that Lebanon has witnessed in the recent few years (UNHCR, 2017). These Syrian refugees, in addition to the Palestinian (UNHCR, 2016) and Iraqi (UNHCR, 2017) refugees are considered a burden on the health sector, and are not granted any government health coverage (Santoro & McKee, 2017). For most of these refugees, as well as a lot of Lebanese citizens, genetic testing has to be personally financed, as they are not covered by national health insurance (social security) neither private insurance companies. The financial cost that a patient's family has to incur has thus made a lot of families opt out of the recommended genetic testing. Our study showed 69.5% positive results for WES and panels combined, emphasizing the utility and diagnostic power of NGS techniques. The latter has helped to obtain a diagnosis more rapidly and more accurately, potentially allowing for a more efficient genetic counseling. It also reduced the number of unnecessary and costly laboratory tests. This thus highlights the importance of improving the adoption of such techniques in Lebanon as well as enabling access of citizens as well as temporary residents to NGS tools.

CONFLICT OF INTEREST

The authors have no conflict of interest to declare.

AUTHOR CONTRIBUTION

PN, SS, HM, AF, GH, PN, RD, HM, SH, SA, ML, RF, DH, MR, SS, OT, PAJ, GC, RS, ACG, MAA, SEH, VD, AM have made substantial contributions to conception and design and for important intellectual content. PN, SH, SS, ACG, MAA, SEH, VD, AM have made substantial contributions in acquisition of data, analysis and interpretation of data. PN, SEH, VD, AM, have been involved in drafting the manuscript and revising it critically. All authors have given final approval of the version to be published.
  16 in total

1.  Clan genomics and the complex architecture of human disease.

Authors:  James R Lupski; John W Belmont; Eric Boerwinkle; Richard A Gibbs
Journal:  Cell       Date:  2011-09-30       Impact factor: 41.582

2.  A multicenter clinical exome study in unselected cohorts from a consanguineous population of Saudi Arabia demonstrated a high diagnostic yield.

Authors:  Ahmed Alfares; Majid Alfadhel; Tariq Wani; Saud Alsahli; Iram Alluhaydan; Fuad Al Mutairi; Ali Alothaim; Mohammed Albalwi; Lamia Al Subaie; Saeed Alturki; Waleed Al-Twaijri; Muhammad Alrifai; Ahmed Al-Rumayya; Seham Alameer; Eissa Faqeeh; Ali Alasmari; Abdulaziz Alsamman; Soha Tashkandia; Abdulaziz Alghamdi; Amal Alhashem; Brahim Tabarki; Saad AlShahwan; Khalid Hundallah; Sami Wali; Homoud Al-Hebbi; Amir Babiker; Sarar Mohamed; Wafaa Eyaid; Abdul Ali Peer Zada
Journal:  Mol Genet Metab       Date:  2017-04-07       Impact factor: 4.797

3.  Diagnostic Impact and Cost-effectiveness of Whole-Exome Sequencing for Ambulant Children With Suspected Monogenic Conditions.

Authors:  Tiong Yang Tan; Oliver James Dillon; Zornitza Stark; Deborah Schofield; Khurshid Alam; Rupendra Shrestha; Belinda Chong; Dean Phelan; Gemma R Brett; Emma Creed; Anna Jarmolowicz; Patrick Yap; Maie Walsh; Lilian Downie; David J Amor; Ravi Savarirayan; George McGillivray; Alison Yeung; Heidi Peters; Susan J Robertson; Aaron J Robinson; Ivan Macciocca; Simon Sadedin; Katrina Bell; Alicia Oshlack; Peter Georgeson; Natalie Thorne; Clara Gaff; Susan M White
Journal:  JAMA Pediatr       Date:  2017-09-01       Impact factor: 16.193

4.  Governing the Lebanese health system: strengthening the national response to the burden of Syrian refugees.

Authors:  Alessio Santoro; Martin McKee
Journal:  East Mediterr Health J       Date:  2017-08-20       Impact factor: 1.628

5.  A novel EXT2 mutation in a consanguineous family with severe developmental delay, microcephaly, seizures, feeding difficulties, and osteopenia extends the phenotypic spectrum of autosomal recessive EXT2-related syndrome (AREXT2).

Authors:  Lara El-Bazzal; Alexandre Atkinson; Anne-Celine Gillart; Marc Obeid; Valérie Delague; André Mégarbané
Journal:  Eur J Med Genet       Date:  2018-07-31       Impact factor: 2.708

6.  Exome sequencing has higher diagnostic yield compared to simulated disease-specific panels in children with suspected monogenic disorders.

Authors:  Oliver James Dillon; Sebastian Lunke; Zornitza Stark; Alison Yeung; Natalie Thorne; Clara Gaff; Susan M White; Tiong Yang Tan
Journal:  Eur J Hum Genet       Date:  2018-02-16       Impact factor: 4.246

7.  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

8.  Limited resources of genome sequencing in developing countries: Challenges and solutions.

Authors:  Mohamed Helmy; Mohamed Awad; Kareem A Mosa
Journal:  Appl Transl Genom       Date:  2016-03-10

9.  The landscape of genetic diseases in Saudi Arabia based on the first 1000 diagnostic panels and exomes.

Authors:  Dorota Monies; Mohamed Abouelhoda; Moeenaldeen AlSayed; Zuhair Alhassnan; Maha Alotaibi; Husam Kayyali; Mohammed Al-Owain; Ayaz Shah; Zuhair Rahbeeni; Mohammad A Al-Muhaizea; Hamad I Alzaidan; Edward Cupler; Saeed Bohlega; Eissa Faqeih; Maha Faden; Banan Alyounes; Dyala Jaroudi; Ewa Goljan; Hadeel Elbardisy; Asma Akilan; Renad Albar; Hesham Aldhalaan; Shamshad Gulab; Aziza Chedrawi; Bandar K Al Saud; Wesam Kurdi; Nawal Makhseed; Tahani Alqasim; Heba Y El Khashab; Hamoud Al-Mousa; Amal Alhashem; Imaduddin Kanaan; Talal Algoufi; Khalid Alsaleem; Talal A Basha; Fathiya Al-Murshedi; Sameena Khan; Adila Al-Kindy; Maha Alnemer; Sami Al-Hajjar; Suad Alyamani; Hasan Aldhekri; Ali Al-Mehaidib; Rand Arnaout; Omar Dabbagh; Mohammad Shagrani; Dieter Broering; Maha Tulbah; Amal Alqassmi; Maisoon Almugbel; Mohammed AlQuaiz; Abdulaziz Alsaman; Khalid Al-Thihli; Raashda A Sulaiman; Wajeeh Al-Dekhail; Abeer Alsaegh; Fahad A Bashiri; Alya Qari; Suzan Alhomadi; Hisham Alkuraya; Mohammed Alsebayel; Muddathir H Hamad; Laszlo Szonyi; Faisal Abaalkhail; Sulaiman M Al-Mayouf; Hamad Almojalli; Khalid S Alqadi; Hussien Elsiesy; Taghreed M Shuaib; Mohammed Zain Seidahmed; Ibraheem Abosoudah; Hana Akleh; Abdulaziz AlGhonaium; Turki M Alkharfy; Fuad Al Mutairi; Wafa Eyaid; Abdullah Alshanbary; Farrukh R Sheikh; Fahad I Alsohaibani; Abdullah Alsonbul; Saeed Al Tala; Soher Balkhy; Randa Bassiouni; Ahmed S Alenizi; Maged H Hussein; Saeed Hassan; Mohamed Khalil; Brahim Tabarki; Saad Alshahwan; Amira Oshi; Yasser Sabr; Saad Alsaadoun; Mustafa A Salih; Sarar Mohamed; Habiba Sultana; Abdullah Tamim; Moayad El-Haj; Saif Alshahrani; Dalal K Bubshait; Majid Alfadhel; Tariq Faquih; Mohamed El-Kalioby; Shazia Subhani; Zeeshan Shah; Nabil Moghrabi; Brian F Meyer; Fowzan S Alkuraya
Journal:  Hum Genet       Date:  2017-06-09       Impact factor: 4.132

10.  Contribution of next generation sequencing in pediatric practice in Lebanon. A Study on 213 cases.

Authors:  Pratibha Nair; Sandra Sabbagh; Hicham Mansour; Ali Fawaz; Ghassan Hmaimess; Peter Noun; Rawane Dagher; Hala Megarbane; Sayeeda Hana; Saada Alame; Maher Lamaa; Dana Hasbini; Roula Farah; Mariam Rajab; Samantha Stora; Oulfat El-Tourjuman; Pauline Abou Jaoude; Gihad Chalouhi; Rony Sayad; Anne-Celine Gillart; Mahmoud Al-Ali; Valerie Delague; Stephany El-Hayek; André Mégarbané
Journal:  Mol Genet Genomic Med       Date:  2018-10-07       Impact factor: 2.183

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1.  The Lebanese Allele in the PET100 Gene: Report on Two New Families with Cytochrome c Oxidase Deficiency.

Authors:  Hicham Mansour; Sandra Sabbagh; Sami Bizzari; Stephany El-Hayek; Eliane Chouery; Alicia Gambarini; Martin Gencik; André Mégarbané
Journal:  J Pediatr Genet       Date:  2019-04-16

2.  Novel mutations in PDE6A and CDHR1 cause retinitis pigmentosa in Pakistani families.

Authors:  Muhammad Dawood; Siying Lin; Taj Ud Din; Irfan Ullah Shah; Niamat Khan; Abid Jan; Muhammad Marwan; Komal Sultan; Maha Nowshid; Raheel Tahir; Asif Naveed Ahmed; Muhammad Yasin; Emma L Baple; Andrew H Crosby; Shamim Saleha
Journal:  Int J Ophthalmol       Date:  2021-12-18       Impact factor: 1.779

3.  Exome and genome sequencing for pediatric patients with congenital anomalies or intellectual disability: an evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG).

Authors:  Kandamurugu Manickam; Monica R McClain; Laurie A Demmer; Sawona Biswas; Hutton M Kearney; Jennifer Malinowski; Lauren J Massingham; Danny Miller; Timothy W Yu; Fuki M Hisama
Journal:  Genet Med       Date:  2021-07-01       Impact factor: 8.822

4.  Structure and mechanism of NALCN-FAM155A-UNC79-UNC80 channel complex.

Authors:  Yunlu Kang; Lei Chen
Journal:  Nat Commun       Date:  2022-05-12       Impact factor: 17.694

5.  Contribution of next generation sequencing in pediatric practice in Lebanon. A Study on 213 cases.

Authors:  Pratibha Nair; Sandra Sabbagh; Hicham Mansour; Ali Fawaz; Ghassan Hmaimess; Peter Noun; Rawane Dagher; Hala Megarbane; Sayeeda Hana; Saada Alame; Maher Lamaa; Dana Hasbini; Roula Farah; Mariam Rajab; Samantha Stora; Oulfat El-Tourjuman; Pauline Abou Jaoude; Gihad Chalouhi; Rony Sayad; Anne-Celine Gillart; Mahmoud Al-Ali; Valerie Delague; Stephany El-Hayek; André Mégarbané
Journal:  Mol Genet Genomic Med       Date:  2018-10-07       Impact factor: 2.183

6.  A 20-year Clinical and Genetic Neuromuscular Cohort Analysis in Lebanon: An International Effort.

Authors:  Andre Megarbane; Sami Bizzari; Asha Deepthi; Sandra Sabbagh; Hicham Mansour; Eliane Chouery; Ghassan Hmaimess; Rosette Jabbour; Cybel Mehawej; Saada Alame; Abeer Hani; Dana Hasbini; Ismat Ghanem; Salam Koussa; Mahmoud Taleb Al-Ali; Marc Obeid; Diana Bou Talea; Gerard Lefranc; Nicolas Lévy; France Leturcq; Stephany El Hayek; Valérie Delague; J Andoni Urtizberea
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Authors:  Jennifer Malinowski; David T Miller; Scott E Hickey; Jun Shen; Laurie Demmer; Jennifer Gannon; Elaine Maria Pereira; Molly C Schroeder; Maren T Scheuner; Anne Chun-Hui Tsai
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