Literature DB >> 30275975

Heterogeneity in clinical sequencing tests marketed for autism spectrum disorders.

Ny Hoang1,2,3, Janet A Buchanan4, Stephen W Scherer2,3,4,5.   

Abstract

Entities:  

Year:  2018        PMID: 30275975      PMCID: PMC6145925          DOI: 10.1038/s41525-018-0066-3

Source DB:  PubMed          Journal:  NPJ Genom Med        ISSN: 2056-7944            Impact factor:   8.617


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Autism spectrum disorders (ASD) is now a high profile and common concern in the population. Diagnosis has long been based on clinical findings,[1] but with increased recognition of a strong genetic contribution and a subset of cases with an underlying genetic syndrome,[2] clinical laboratory testing to search for genomic risk variants is now an important component of the diagnostic work-up. Chromosomal microarray is currently the recommended first-tier genetic test for ASD,[3] revealing deleted and duplicated segments of DNA. These relatively large copy number variations (CNVs), often affecting several genes, can account for 5–25% of ASD cases, depending on the cohort examined.[4] The introduction of next-generation sequencing (NGS) now allows for a more in-depth look at ASD’s genetic landscape. Besides CNVs, genomic risk factors for ASD can include single-nucleotide variants, insertion/deletions, and complex structural variations, contained in potentially hundreds of different genes, which may be involved in complex interactions.[4-9] The NGS technology may be targeted to a selection of genes of interest, or to the coding portions of all genes (exome sequencing), or for entire genome sequencing. Such sequencing approaches are now being marketed for use as second-tier tests for ASD, particularly when chromosomal microarray analysis has not revealed any explanation for the clinical presentation. We undertook to survey the scope of sequencing tests for ASD (or including ASD) that are primarily being marketed by commercial laboratories as adjuncts or follow-up to chromosomal microarrays. Perhaps not surprisingly, because this is a new territory and guidelines are not yet developed, we found significant heterogeneity among such laboratories with respect to the tests they offer. The most striking finding was the variable number of genes being tested for on panels marketed for ASD (range, 11–2562), with little content overlap, albeit, these encompassed ASD-specific as well as much larger ASD-inclusive panels (Table 1).
Table 1

Clinical ASD gene sequencing panels available as of June 2018

NumberLaboratory companyTest nameNumber of genes includedGene list providedaGene selection criteria/rationale providedbCertification/accreditation notes providedb
1Ambry GeneticsAutismNext48
2ApolloGenAutism Spectrum Disorders Panel Test125
3Asper Biogene Asper Biogene LLCAutism Spectrum Disorders NGS panel52
4Ayass BioScienceAUTISM – Genetic Testing98
5Blueprint GeneticsAutism Spectrum Disorder Panel26
6CEN4GENAutism Spectrum Disorders: Gene Panel63
7Center for Human Genetics, IncAutism Spectrum Disorders 53-Gene Panel53
8CentogeneSyndromic autism panel50
9CGC GeneticsAutism28
10EGL Genetic Diagnostics (Emory)Autism Spectrum Disorders: Tier 2 Panel63
11Fulgent GeneticsAutism NGS Panel106
12GeneDxAutism/ID Xpanded Panel2562
13GENETAQAutism28
14Greenwood Genetic Center Diagnostic LaboratoriesSyndromic Autism Sequencing Panel83
15Munroe-Meyer InstituteAutism/Intellectual Disability/Multiple Anomalies Panel117
16LineagenNextStepDx PLUS936
17Michigan Medical Genetics LaboratoriesAutism / Intellectual Disability Panels (Tier 2 and Tier 3)11
18MNG LaboratoriesComprehensive Intellectual Disability/Autism901
19PreventionGeneticsAutism Spectrum Disorders and Intellectual Disability (ASD-ID) Comprehensive Sequencing Panel with CNV Detection AND1908
Autism Spectrum Disorders Sequencing Panel with CNV Detection108
20Reference Laboratory GeneticsAutism Spectrum Disorders (Expanded Panel)77
21Sema4Autism Spectrum Disorder Sequencing Panel30

○ = provided upon request

aSee Supplementary Table S1 for full gene list

bSee Supplementary Table S5 for details

Clinical ASD gene sequencing panels available as of June 2018 ○ = provided upon request aSee Supplementary Table S1 for full gene list bSee Supplementary Table S5 for details Our search began in 2017, using the former GeneTests and current Genetic Testing Registry as resources, supplemented by an internet search (terms: “autism panel”, “autism lab sequencing”, “autism genetic test”). To focus on gene panels, we excluded biochemical assays, chromosomal microarrays, and sequencing tests involving fewer than three genes. To focus on ASD, we excluded tests targeted for general neurodevelopmental disorders, seizure disorders, and intellectual disability, unless they specified autism. That search resulted in 20 DNA testing laboratories offering an ASD gene panel. Updating the survey in June 2018 (adding use of a new resource, Concert Genetics—www.concertgenetics.com), we found that four panels were no longer offered, but five were newly available, for an updated total of 21 laboratories (Table 1). We then went to the individual laboratory websites for further information. We compared ASD gene lists from panels of the 21 laboratories. Each entire panel is listed in Supplementary Table S1. Supplementary Table S2 shows the 178 genes included in at least five lab panels (“shared genes”) in order of listing frequency. Table 2 summarizes the top 16 most commonly listed genes, along with their associated genetic disorders according to the Online Mendelian Inheritance in Man (OMIM).[10] The latter shows that most (12/16) of these genes are associated with genetic syndromes, where the primary phenotype involves physical/systemic features and not ASD. Almost half of these genes (7/16) were located on the X chromosome. Only one gene was included on all panels offered by the 21 labs: MECP2, which is associated with Rett syndrome (previously considered part of the ASD spectrum, but no longer so under criteria of the Diagnostic and statistical manual of mental disorders (5th edn)).[1] There were 63 genes shared among at least 10 lists, but the vast majority of the cumulative list of 2928 unique genes were included by fewer than five laboratories. There were, nonetheless, some pockets of significant overlap. Two pairs of laboratories each posted identical ASD gene lists. Two other laboratories had lists that encompassed those of separate labs, but with additional genes to create their own collection.
Table 2

Summary of findings from gene list comparison and list of most commonly listed genes

Key findings
● Number of genes included on ASD gene sequencing panels ranged from 11 to 2562● 2928 unique genes identified across 21 labs● When comparing the gene lists of 21 labs (see Supplementary Table S1) ○ Only one gene (MECP2) was shared by all labs ○ 63 genes shared by at least 10/21 labs ○ Two sets of labs had the same gene lists● Of the top 16 genes shared by 16 or more panels, ○ 12 were associated with known OMIM syndromesa primarily involving physical/systemic features, of which 3 (MECP2, PTEN, and CNTNAP2) included autism susceptibility ○ 4 (NLGN4X, PTCHD1, NLGN3, and FOXP1) were associated with primarily a neurocognitive presentation (ASD, intellectual disability) in OMIM ○ 2 (UBE3A and SHANK3) overlapped with known ASD-associated CNV regions● The top 178 genes shared across 21 labs did NOT include 39 genes cited on 2 or more ASD gene listsc
Top shared genesb
Gene name Labs OMIM gene association (OMIM#) a
MECP2 c 21/21Encephalopathy (300673); Mental retardation (300260)(300055); Rett syndrome (312750); Autism susceptibility (300496)
NLGN4X 20/21Mental retardation (300495); Asperger syndrome susceptibility (300497); Autism susceptibility (300495)
CACNA1C c 19/21Brugada syndrome 3 (611875); Timothy syndrome (601005)
NRXN1 c 19/21Pitt-Hopkins-like syndrome 2 (614325); Schizophrenia susceptibility (614332)
PCDH19 19/21Epileptic encephalopathy (300088)
PTCHD1 c 19/21Autism susceptibility (300830)
UBE3A 19/21Angelman syndrome (105830)
NLGN3 c 18/21Asperger syndrome susceptibility (300494); Autism susceptibility (300425)
PTEN c 18/21Bannayan-Riley-Ruvalcaba syndrome (153480); Cowden syndrome 1/ Lhermitte-Duclos syndrome (158350); Macrocephaly/autism syndrome (605309); VATER association with macrocephaly and ventriculomegaly (276950); Glioma susceptibility (613028); Meningioma (607174); Prostate cancer (176807)
SHANK3 c 18/21Phelan-McDermid syndrome (606232); Schizophrenia (613950)
CDKL5 c 17/21Epileptic encephalopathy (300672)
CNTNAP2 17/21Cortical dysplasia-focal epilepsy syndrome/ Pitt-Hopkins like syndrome 1 (610042); Autism susceptibility (612100)
DHCR7 c 17/21Smith-Lemli-Opitz syndrome (270400)
FOXP1 c 17/21Mental retardation with language impairment and with or without autistic features (613670)
NSD1 c 17/21Leukemia (601626); Sotos syndrome 1 (117550)
ARX c 16/21Epileptic encephalopathy (308350); Hydranencephaly with abnormal genitalia (300215); Lissencephaly (300215); Mental retardation (300419); Partington syndrome (309510); Proud syndrome (300004)

aOnline Mendelian Inheritance in Man (OMIM) is a continuously updated catalog of human genes and genetic disorders and traits, with particular focus on the molecular relationship between genetic variation and phenotypic expression. omim.org

bList of the top 16 genes shared by 16 or more clinical ASD sequencing panels

cGene listed on 2 or more of the following: SFARI list[11] with gene score of 1 or 2; SPARK list[12] as of April 2017; MSSNG list published in 2017;[8] ASC list[13] of genes with q value <0.3

Summary of findings from gene list comparison and list of most commonly listed genes aOnline Mendelian Inheritance in Man (OMIM) is a continuously updated catalog of human genes and genetic disorders and traits, with particular focus on the molecular relationship between genetic variation and phenotypic expression. omim.org bList of the top 16 genes shared by 16 or more clinical ASD sequencing panels cGene listed on 2 or more of the following: SFARI list[11] with gene score of 1 or 2; SPARK list[12] as of April 2017; MSSNG list published in 2017;[8] ASC list[13] of genes with q value <0.3 We then compared the gene lists ascertained here to four lists from academic research projects that identify genes with strong association to ASD: Simons Foundation Autism Risk Initiative (SFARI),[11] Simons Foundation Powering Autism Research for Knowledge (SPARK),[12] Autism Speaks – MSSNG,[8] and Autism Sequencing Consortium (ASC)[13] (Supplementary Table S2). Comparing these lists, we found 15 genes to be shared by all, and an additional 24 genes were common to 3 of the 4 lists (Supplementary Table S3). We noted that 39 ASD risk genes identified by at least two of these research sources were not included among the top 178 genes listed by the commercial labs (Supplementary Table S4). Moreover, seven well-studied genes (ADNP, ARID1B, CHD8, POGZ, SCN2A, SLC6A1, and SYNGAP1) identified to be important for ASD by the SFARI, SPARK, MSSNG, and ASC research projects, are not found among the commercial list of the top 47 shared genes (Supplementary Table S2). How were these lists derived by the 21 clinical laboratories? We looked for such information from the websites, documented the mention of gene selection criteria or rationale (Table 1) and summarized the comments found (Supplementary Table S5). Some labs indicated nothing, some made general comments, some specified a filter of “syndromic autism”, and a few provided notes with or without literature citations. Favorably, one lab provided a dated record of updates to their panel. From the respective websites, information about sequencing and analysis approaches used by the various laboratories were rarely obvious and sometimes unstated. A few of the labs undertook exome sequencing followed by selective analysis of an ASD gene panel. A few other labs stated that they applied NGS to “selected” or “targeted” genes only, and most did not provide any specification. Some added mention of exons or coding sequences; some also mentioned introns, splice junctions, or non-coding sequence. One lab clearly said they used Sanger sequencing only, and some noted that adjunct Sanger sequencing was applied either for regions poorly covered with NGS or for confirmation of significant findings before reporting. Our ascertainment was intended to identify clinical tests; therefore, we searched for documentation of laboratory qualification and tabulated key findings (Table 1 and Supplementary Table S5). Additionally, a few websites specified that tests were not direct-to-consumer or could only be ordered by a health professional. Several labs mentioned that the test was intended for individuals with symptoms or clinical diagnosis of ASD, some limiting this to “syndromic”; few mentioned “pre-symptomatic”, “prenatal”, or “carrier” testing. Some described in-house genetic counseling support and/or the qualifications of those preparing reports. Few described their variant reporting protocol, some mentioning the classification scheme of the American College of Medical Genetics and Genomics.[14] The diversity unearthed by this survey applied not only to the specific gene tests offered for ASD, but to the extent of supporting information provided by the companies who market these services. Consumers would benefit from greater transparency (including evidence) about items such as gene inclusion criteria, dates of updates, technologies used, interpretation of variants, reporting standards, ownership of data, secondary use policies, etc. ASD is clearly a heterogeneous disorder, both in clinical presentation and in terms of the underlying etiology.[15] In fact, the genetic predisposition for ASD may be different in almost every individual.[6,9] Furthermore, the evidence for association between any given variant and ASD is wide-ranging, and even when an association is strongly supported, there is usually variable expressivity or some degree of non-penetrance reflected in the evidence.[12,15] The NGS tests currently marketed for ASD are mostly being used in a confirmatory manner, in the context of clinical findings. However, expectations are rising, from families and their healthcare providers, to use the same DNA tests to enable early diagnosis, prognosis, and medical management of ASD, and to assess familial risk. This survey highlights the need to develop a clinically validated list of genes appropriate for clinical laboratory analysis for ASD to meet these growing demands. Supplementary Table S1 Supplementary Table S2 Supplementary Table S3 Supplementary Table S4 Supplementary Table S5
  13 in total

1.  Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder.

Authors:  Ryan K C Yuen; Daniele Merico; Matt Bookman; Jennifer L Howe; Bhooma Thiruvahindrapuram; Rohan V Patel; Joe Whitney; Nicole Deflaux; Jonathan Bingham; Zhuozhi Wang; Giovanna Pellecchia; Janet A Buchanan; Susan Walker; Christian R Marshall; Mohammed Uddin; Mehdi Zarrei; Eric Deneault; Lia D'Abate; Ada J S Chan; Stephanie Koyanagi; Tara Paton; Sergio L Pereira; Ny Hoang; Worrawat Engchuan; Edward J Higginbotham; Karen Ho; Sylvia Lamoureux; Weili Li; Jeffrey R MacDonald; Thomas Nalpathamkalam; Wilson W L Sung; Fiona J Tsoi; John Wei; Lizhen Xu; Anne-Marie Tasse; Emily Kirby; William Van Etten; Simon Twigger; Wendy Roberts; Irene Drmic; Sanne Jilderda; Bonnie MacKinnon Modi; Barbara Kellam; Michael Szego; Cheryl Cytrynbaum; Rosanna Weksberg; Lonnie Zwaigenbaum; Marc Woodbury-Smith; Jessica Brian; Lili Senman; Alana Iaboni; Krissy Doyle-Thomas; Ann Thompson; Christina Chrysler; Jonathan Leef; Tal Savion-Lemieux; Isabel M Smith; Xudong Liu; Rob Nicolson; Vicki Seifer; Angie Fedele; Edwin H Cook; Stephen Dager; Annette Estes; Louise Gallagher; Beth A Malow; Jeremy R Parr; Sarah J Spence; Jacob Vorstman; Brendan J Frey; James T Robinson; Lisa J Strug; Bridget A Fernandez; Mayada Elsabbagh; Melissa T Carter; Joachim Hallmayer; Bartha M Knoppers; Evdokia Anagnostou; Peter Szatmari; Robert H Ring; David Glazer; Mathew T Pletcher; Stephen W Scherer
Journal:  Nat Neurosci       Date:  2017-03-06       Impact factor: 24.884

Review 2.  SPARK: A US Cohort of 50,000 Families to Accelerate Autism Research.

Authors: 
Journal:  Neuron       Date:  2018-02-07       Impact factor: 17.173

Review 3.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.

Authors:  David T Miller; Margaret P Adam; Swaroop Aradhya; Leslie G Biesecker; Arthur R Brothman; Nigel P Carter; Deanna M Church; John A Crolla; Evan E Eichler; Charles J Epstein; W Andrew Faucett; Lars Feuk; Jan M Friedman; Ada Hamosh; Laird Jackson; Erin B Kaminsky; Klaas Kok; Ian D Krantz; Robert M Kuhn; Charles Lee; James M Ostell; Carla Rosenberg; Stephen W Scherer; Nancy B Spinner; Dimitri J Stavropoulos; James H Tepperberg; Erik C Thorland; Joris R Vermeesch; Darrel J Waggoner; Michael S Watson; Christa Lese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2010-05-14       Impact factor: 11.025

4.  Molecular Diagnostic Yield of Chromosomal Microarray Analysis and Whole-Exome Sequencing in Children With Autism Spectrum Disorder.

Authors:  Kristiina Tammimies; Christian R Marshall; Susan Walker; Gaganjot Kaur; Bhooma Thiruvahindrapuram; Anath C Lionel; Ryan K C Yuen; Mohammed Uddin; Wendy Roberts; Rosanna Weksberg; Marc Woodbury-Smith; Lonnie Zwaigenbaum; Evdokia Anagnostou; Zhuozhi Wang; John Wei; Jennifer L Howe; Matthew J Gazzellone; Lynette Lau; Wilson W L Sung; Kathy Whitten; Cathy Vardy; Victoria Crosbie; Brian Tsang; Lia D'Abate; Winnie W L Tong; Sandra Luscombe; Tyna Doyle; Melissa T Carter; Peter Szatmari; Susan Stuckless; Daniele Merico; Dimitri J Stavropoulos; Stephen W Scherer; Bridget A Fernandez
Journal:  JAMA       Date:  2015-09-01       Impact factor: 56.272

5.  Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci.

Authors:  Stephan J Sanders; Xin He; A Jeremy Willsey; A Gulhan Ercan-Sencicek; Kaitlin E Samocha; A Ercument Cicek; Michael T Murtha; Vanessa H Bal; Somer L Bishop; Shan Dong; Arthur P Goldberg; Cai Jinlu; John F Keaney; Lambertus Klei; Jeffrey D Mandell; Daniel Moreno-De-Luca; Christopher S Poultney; Elise B Robinson; Louw Smith; Tor Solli-Nowlan; Mack Y Su; Nicole A Teran; Michael F Walker; Donna M Werling; Arthur L Beaudet; Rita M Cantor; Eric Fombonne; Daniel H Geschwind; Dorothy E Grice; Catherine Lord; Jennifer K Lowe; Shrikant M Mane; Donna M Martin; Eric M Morrow; Michael E Talkowski; James S Sutcliffe; Christopher A Walsh; Timothy W Yu; David H Ledbetter; Christa Lese Martin; Edwin H Cook; Joseph D Buxbaum; Mark J Daly; Bernie Devlin; Kathryn Roeder; Matthew W State
Journal:  Neuron       Date:  2015-09-23       Impact factor: 17.173

6.  Synaptic, transcriptional and chromatin genes disrupted in autism.

Authors:  Silvia De Rubeis; Xin He; Arthur P Goldberg; Christopher S Poultney; Kaitlin Samocha; A Erucment Cicek; Yan Kou; Li Liu; Menachem Fromer; Susan Walker; Tarinder Singh; Lambertus Klei; Jack Kosmicki; Fu Shih-Chen; Branko Aleksic; Monica Biscaldi; Patrick F Bolton; Jessica M Brownfeld; Jinlu Cai; Nicholas G Campbell; Angel Carracedo; Maria H Chahrour; Andreas G Chiocchetti; Hilary Coon; Emily L Crawford; Sarah R Curran; Geraldine Dawson; Eftichia Duketis; Bridget A Fernandez; Louise Gallagher; Evan Geller; Stephen J Guter; R Sean Hill; Juliana Ionita-Laza; Patricia Jimenz Gonzalez; Helena Kilpinen; Sabine M Klauck; Alexander Kolevzon; Irene Lee; Irene Lei; Jing Lei; Terho Lehtimäki; Chiao-Feng Lin; Avi Ma'ayan; Christian R Marshall; Alison L McInnes; Benjamin Neale; Michael J Owen; Noriio Ozaki; Mara Parellada; Jeremy R Parr; Shaun Purcell; Kaija Puura; Deepthi Rajagopalan; Karola Rehnström; Abraham Reichenberg; Aniko Sabo; Michael Sachse; Stephan J Sanders; Chad Schafer; Martin Schulte-Rüther; David Skuse; Christine Stevens; Peter Szatmari; Kristiina Tammimies; Otto Valladares; Annette Voran; Wang Li-San; Lauren A Weiss; A Jeremy Willsey; Timothy W Yu; Ryan K C Yuen; Edwin H Cook; Christine M Freitag; Michael Gill; Christina M Hultman; Thomas Lehner; Aaarno Palotie; Gerard D Schellenberg; Pamela Sklar; Matthew W State; James S Sutcliffe; Christiopher A Walsh; Stephen W Scherer; Michael E Zwick; Jeffrey C Barett; David J Cutler; Kathryn Roeder; Bernie Devlin; Mark J Daly; Joseph D Buxbaum
Journal:  Nature       Date:  2014-10-29       Impact factor: 49.962

7.  A systematic variant annotation approach for ranking genes associated with autism spectrum disorders.

Authors:  Eric Larsen; Idan Menashe; Mark N Ziats; Wayne Pereanu; Alan Packer; Sharmila Banerjee-Basu
Journal:  Mol Autism       Date:  2016-10-21       Impact factor: 7.509

8.  Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders.

Authors:  Daniel J Weiner; Emilie M Wigdor; Stephan Ripke; Raymond K Walters; Jack A Kosmicki; Jakob Grove; Kaitlin E Samocha; Jacqueline I Goldstein; Aysu Okbay; Jonas Bybjerg-Grauholm; Thomas Werge; David M Hougaard; Jacob Taylor; David Skuse; Bernie Devlin; Richard Anney; Stephan J Sanders; Somer Bishop; Preben Bo Mortensen; Anders D Børglum; George Davey Smith; Mark J Daly; Elise B Robinson
Journal:  Nat Genet       Date:  2017-05-15       Impact factor: 38.330

9.  SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs).

Authors:  Dan E Arking; Daniel B Campbell; Heather C Mefford; Eric M Morrow; Lauren A Weiss; Brett S Abrahams; Idan Menashe; Tim Wadkins; Sharmila Banerjee-Basu; Alan Packer
Journal:  Mol Autism       Date:  2013-10-03       Impact factor: 7.509

Review 10.  Syndromic autism spectrum disorders: moving from a clinically defined to a molecularly defined approach.

Authors:  Bridget A Fernandez; Stephen W Scherer
Journal:  Dialogues Clin Neurosci       Date:  2017-12       Impact factor: 5.986

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  7 in total

1.  CNTN5-/+or EHMT2-/+human iPSC-derived neurons from individuals with autism develop hyperactive neuronal networks.

Authors:  Eric Deneault; Muhammad Faheem; Sean H White; Deivid C Rodrigues; Song Sun; Wei Wei; Alina Piekna; Tadeo Thompson; Jennifer L Howe; Leon Chalil; Vickie Kwan; Susan Walker; Peter Pasceri; Frederick P Roth; Ryan Kc Yuen; Karun K Singh; James Ellis; Stephen W Scherer
Journal:  Elife       Date:  2019-02-12       Impact factor: 8.140

2.  Response to Buxbaum et al.

Authors:  Scott M Myers; Thomas D Challman; Christa Leese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2020-11-05       Impact factor: 11.025

3.  Brief Report: Evaluating the Diagnostic Yield of Commercial Gene Panels in Autism.

Authors:  Fiana Ní Ghrálaigh; Ellen McCarthy; Daniel N Murphy; Louise Gallagher; Lorna M Lopez
Journal:  J Autism Dev Disord       Date:  2022-01-07

Review 4.  Insufficient Evidence for "Autism-Specific" Genes.

Authors:  Scott M Myers; Thomas D Challman; Raphael Bernier; Thomas Bourgeron; Wendy K Chung; John N Constantino; Evan E Eichler; Sebastien Jacquemont; David T Miller; Kevin J Mitchell; Huda Y Zoghbi; Christa Lese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2020-04-30       Impact factor: 11.025

Review 5.  Bradykinin-Mediated Angioedema: An Update of the Genetic Causes and the Impact of Genomics.

Authors:  Itahisa Marcelino-Rodriguez; Ariel Callero; Alejandro Mendoza-Alvarez; Eva Perez-Rodriguez; Javier Barrios-Recio; Jose C Garcia-Robaina; Carlos Flores
Journal:  Front Genet       Date:  2019-09-27       Impact factor: 4.599

6.  A Next Generation Sequencing-Based Protocol for Screening of Variants of Concern in Autism Spectrum Disorder.

Authors:  Jie Huang; Jun Liu; Ruiyi Tian; Kevin Liu; Patrick Zhuang; Hannah Tayla Sherman; Christoph Budjan; Michelle Fong; Min-Seo Jeong; Xue-Jun Kong
Journal:  Cells       Date:  2021-12-21       Impact factor: 6.600

7.  A recurrent SHANK3 frameshift variant in Autism Spectrum Disorder.

Authors:  Livia O Loureiro; Jennifer L Howe; Miriam S Reuter; Alana Iaboni; Kristina Calli; Delnaz Roshandel; Iva Pritišanac; Alan Moses; Julie D Forman-Kay; Brett Trost; Mehdi Zarrei; Olivia Rennie; Lynette Y S Lau; Christian R Marshall; Siddharth Srivastava; Brianna Godlewski; Elizabeth D Buttermore; Mustafa Sahin; Dean Hartley; Thomas Frazier; Jacob Vorstman; Stelios Georgiades; Suzanne M E Lewis; Peter Szatmari; Clarrisa A Lisa Bradley; Anne-Claude Tabet; Marjolaine Willems; Serge Lumbroso; Amélie Piton; James Lespinasse; Richard Delorme; Thomas Bourgeron; Evdokia Anagnostou; Stephen W Scherer
Journal:  NPJ Genom Med       Date:  2021-11-04       Impact factor: 8.617

  7 in total

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