Cited by 25Genomics and Rare DiseasesGenetics and Neurodevelopmental DisordersAutism Spectrum Disorder Research

Prevalence and Penetrance of Rare Pathogenic Variants in Neurodevelopmental Psychiatric Genes in a Health Care System Population

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Shimelis, Hermela, Oetjens, Matthew T., Walsh, Lauren K., Wain, Karen E., Znidarsic, Masa, Myers, Scott M., Finucane, Brenda M., Ledbetter, David H. +1 more·2023·American Journal of Psychiatry

Abstract

OBJECTIVE: Autism, schizophrenia, and other clinically distinct neurodevelopmental psychiatric disorders (NPDs) have shared genetic etiologies, including single-gene and multigenic copy number variants (CNVs). Because rare variants are primarily investigated in clinical cohorts, population-based estimates of their prevalence and penetrance are lacking. The authors determined the prevalence, penetrance, and NPD risk of pathogenic single-gene variants in a large health care system population. METHODS: The authors analyzed linked genomic and electronic health record (EHR) data in a subset of 90,595 participants from Geisinger's MyCode Community Health Initiative, known as the DiscovEHR cohort. Loss-of-function pathogenic variants in 94 high-confidence NPD genes were identified through exome sequencing, and NPD penetrance was calculated using preselected EHR diagnosis codes. NPD risk was estimated using a case-control comparison of DiscovEHR participants with and without NPD diagnoses. Results from single-gene variant analyses were also compared with those from 31 previously reported pathogenic NPD CNVs. RESULTS: Pathogenic variants were identified in 0.34% of the DiscovEHR cohort and demonstrated a 34.3% penetrance for NPDs. Similar to CNVs, sequence variants collectively conferred a substantial risk for several NPD diagnoses, including autism, schizophrenia, and bipolar disorder. Significant NPD risk remained after participants with intellectual disability were excluded from the analysis, confirming the association with major psychiatric disorders in individuals without severe cognitive deficits. CONCLUSIONS: Collectively, rare single-gene variants and CNVs were found in >1% of individuals in a large health care system population and play an important contributory role in mental health disorders. Diagnostic genetic testing for pathogenic variants among symptomatic individuals with NPDs could improve clinical outcomes through early intervention and anticipatory therapeutic support.

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  • An intragenic heterozygous deletion covering exons 4-11 of WASF1 was found in an individual with a neurodevelopmental psychiatric disorder.

    “An intragenic heterozygous deletion covering exons 4–11 of WASF1 was found in an individual with a neurodevelopmental psychiatric disorder101 (Table 2c).”

    From The WAVE complex in developmental and adulthood brain disorders (2025) · cites this paper as [101]

    The Results section, “Prevalence of NPD-Related Single-Gene Variants” (page unavailable), reports pathogenic variants and a deletion in ASXL3, but does not identify a WASF1 deletion. Searches for WASF1, an intragenic heterozygous deletion, and exons 4–11 found no passage in our copy documenting the claimed individual or variant. (LLM, conf=0.73)

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Research works printed but not linked: 39

  1. [2]Okoro CA, Hollis ND, Cyrus AC,: Prevalence of disabilities and health care access by disability status and type among adults: United States, 2016. MMWR Morb Mortal Wkly Rep 2018; 67: 882– 887 30114005 PMC6095650
  2. [4]Finucane BM, Ledbetter DH, Vorstman JA: Diagnostic genetic testing for neurodevelopmental psychiatric disorders: closing the gap between recommendation and clinical implementation. Curr Opin Genet Dev 2021; 68: 1– 8 33434711 PMC8205959
  3. [5]Iossifov I, O’Roak BJ, Sanders SJ,: The contribution of de novo coding mutations to autism spectrum disorder. Nature 2014; 515: 216– 221 25363768 PMC4313871
  4. [6]Guo H, Duyzend MH, Coe BP,: Genome sequencing identifies multiple deleterious variants in autism patients with more severe phenotypes. Genet Med 2019; 21: 1611– 1620 30504930 PMC6546556
  5. [7]Ruzzo EK, Pérez-Cano L, Jung J-Y,: Inherited and de novo genetic risk for autism impacts shared networks. Cell 2019; 178: 850– 866.e26 31398340 PMC7102900
  6. [8]Nguyen HT, Bryois J, Kim A,: Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders. Genome Med 2017; 9: 114 29262854 PMC5738153
  7. [9]Howrigan DP, Rose SA, Samocha KE,: Exome sequencing in schizophrenia-affected parent–offspring trios reveals risk conferred by protein-coding de novo mutations. Nat Neurosci 2020; 23: 185– 193 31932770 PMC7007385
  8. [10]Kataoka M, Matoba N, Sawada T,: Exome sequencing for bipolar disorder points to roles of de novo loss-of-function and protein-altering mutations. Mol Psychiatry 2016; 21: 885– 893 27217147 PMC5414074
  9. [11]Toma C, Shaw AD, Overs BJ,: De novo gene variants and familial bipolar disorder. JAMA Netw Open 2020; 3: e203382 32383744 PMC7210482
  10. [12]Lelieveld SH, Reijnders MRF, Pfundt R,: Meta-analysis of 2,104 trios provides support for 10 new genes for intellectual disability. Nat Neurosci 2016; 19: 1194– 1196 27479843
  11. [13]Bowling KM, Thompson ML, Amaral MD,: Genomic diagnosis for children with intellectual disability and/or developmental delay. Genome Med 2017; 9: 43 28554332 PMC5448144
  12. [14]Deciphering Developmental Disorders Study: Prevalence and architecture of de novo mutations in developmental disorders. Nature 2017; 542: 433– 438 28135719 PMC6016744
  13. [15]Wang W, Corominas R, Lin GN: De novo mutations from whole exome sequencing in neurodevelopmental and psychiatric disorders: from discovery to application. Front Genet 2019; 10: 258 31001316 PMC6456656
  14. [16]Zhu X, Padmanabhan R, Copeland B,: A case-control collapsing analysis identifies epilepsy genes implicated in trio sequencing studies focused on de novo mutations. PLoS Genet 2017; 13: e1007104 29186148 PMC5724893
  15. [17]Epi25 Collaborative: Ultra-rare genetic variation in the epilepsies: a whole-exome sequencing study of 17,606 individuals. Am J Hum Genet 2019; 105: 267– 282 31327507 PMC6698801
  16. [20]Wright CF, Fitzgerald TW, Jones WD,: Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data. Lancet 2015; 385: 1305– 1314 25529582 PMC4392068
  17. [21]Belmadani M, Jacobson M, Holmes N,: VariCarta: a comprehensive database of harmonized genomic variants found in autism spectrum disorder sequencing studies. Autism Res 2019; 12: 1728– 1736 31705629
  18. [22]Bernier R, Golzio C, Xiong B,: Disruptive CHD8 mutations define a subtype of autism early in development. Cell 2014; 158: 263– 276 24998929 PMC4136921
  19. [23]Männik K, Mägi R, Macé A,: Copy number variations and cognitive phenotypes in unselected populations. JAMA 2015; 313: 2044– 2054 26010633 PMC4684269
  20. [24]Stefansson H, Meyer-Lindenberg A, Steinberg S,: CNVs conferring risk of autism or schizophrenia affect cognition in controls. Nature 2014; 505: 361– 366 24352232
  21. [25]Martin CL, Wain KE, Oetjens MT,: Identification of neuropsychiatric copy number variants in a health care system population. JAMA Psychiatry 2020; 77: 1276– 1285 32697297 PMC7376464
  22. [26]Crawford K, Bracher-Smith M, Owen D,: Medical consequences of pathogenic CNVs in adults: analysis of the UK Biobank. J Med Genet 2019; 56: 131– 138 30343275
  23. [27]Ganna A, Satterstrom FK, Zekavat SM,: Quantifying the impact of rare and ultra-rare coding variation across the phenotypic spectrum. Am J Hum Genet 2018; 102: 1204– 1211 29861106 PMC5992130
  24. [28]Rolland T, Cliquet F, Anney RJL,: Sub-diagnostic effects of genetic variants associated with autism. medRxiv, April 11, 2021. 10.1101/2021.02.12.21251621v3 · DOI
  25. [29]Staples J, Maxwell EK, Gosalia N,: Profiling and leveraging relatedness in a precision medicine cohort of 92,455 exomes. Am J Hum Genet 2018; 102: 874– 889 29727688 PMC5986700
  26. [30]Dewey FE, Murray MF, Overton JD,: Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study. Science 2016; 354: aaf6814 28008009
  27. [31]Carey DJ, Fetterolf SN, Davis FD,: The Geisinger MyCode community health initiative: an electronic health record–linked biobank for precision medicine research. Genet Med 2016; 18: 906– 913 26866580 PMC4981567
  28. [33]Karczewski KJ, Francioli LC, Tiao G,: The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 2020; 581: 434– 443 32461654 PMC7334197
  29. [35]Tayoun AA, Pesaran T, DiStefano M,: Recommendations for interpreting the loss of function PVS1 ACMG/AMP variant criteria. Hum Mutat 2018; 39: 1517– 1524 30192042 PMC6185798
  30. [36]Riggs ER, Andersen EF, Cherry AM,: Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen). Genet Med 2020; 22: 245– 257 31690835 PMC7313390
  31. [37]Bycroft C, Freeman C, Petkova D,: The UK Biobank resource with deep phenotyping and genomic data. Nature 2018; 562: 203– 209 30305743 PMC6786975
  32. [38]Moreno-De-Luca A, Myers SM, Challman TD,: Developmental brain dysfunction: revival and expansion of old concepts based on new genetic evidence. Lancet Neurol 2013; 12: 406– 414 23518333 PMC4013791
  33. [39]Finucane B, Challman TD, Martin CL,: Shift happens: family background influences clinical variability in genetic neurodevelopmental disorders. Genet Med 2016; 18: 302– 304 26158229 PMC4823637
  34. [40]Mitchell KJ: The genetic architecture of neurodevelopmental disorders. bioRxiv, September 19, 2014. 10.1101/009449v1 · DOI
  35. [41]Finucane B, Oetjens MT, Johns A,: Medical manifestations and health care utilization among adult MyCode participants with neurodevelopmental psychiatric copy number variants. Genet Med 2022; 24: 703– 711 34906480 PMC8901449
  36. [42]Wright CF, West B, Tuke M,: Assessing the pathogenicity, penetrance, and expressivity of putative disease-causing variants in a population setting. Am J Hum Genet 2019; 104: 275– 286 30665703 PMC6369448
  37. [43]Wain KE, Tolwinski K, Palen E,: Population genomic screening for genetic etiologies of neurodevelopmental/psychiatric disorders demonstrates personal utility and positive participant responses. J Pers Med 2021; 11: 365 34062946 PMC8147408
  38. [44]Moreno-De-Luca A, Evans DW, Boomer KB,: The role of parental cognitive, behavioral, and motor profiles in clinical variability in individuals with chromosome 16p11.2 deletions. JAMA Psychiatry 2015; 72: 119– 126 25493922
  39. [45]Singh T, Walters JTR, Johnstone M,: The contribution of rare variants to risk of schizophrenia in individuals with and without intellectual disability. Nat Genet 2017; 49: 1167– 1173 28650482 PMC5533219

Cited by

Sorted by citations

Authors
Shimelis, H., Oetjens, M. T., Walsh, L. K., Wain, K. E., Znidarsic, M., Myers, S. M., Finucane, B. M., Ledbetter, D. H., & Martin, C. L.
Affiliations
Autism & Developmental Medicine Institute (US)
Venue
American Journal of Psychiatry
Published
2023-01-01
Volume
180
Issue
1
Pages
65-72
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W4311845947
Cited by
25
References
5
Citations by year
2026: 3 · 2025: 12 · 2024: 4 · 2023: 6
FWCI
3.30
Type
journal article
Language
en
Open access
Locations
  • American Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Regeneron Pharmaceuticals
  • Natera
  • National Institute of Mental Health (R01MH074090, U01MH119705)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
Keywords
rare pathogenic variants, copy number variation, penetrance, prevalence, autism spectrum disorder, schizophrenia, bipolar disorder, intellectual disability, genetic risk, loss-of-function mutations
MeSH terms
Delivery of Health Care, Genetic Testing, Humans, Schizophrenia, Prevalence, Penetrance, DNA Copy Number Variations

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