Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci
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SUMMARY Analysis of de novo CNVs (dnCNVs) from the full Simons Simplex Collection (SSC) (N = 2,591 families) replicates prior findings of strong association with autism spectrum disorders (ASDs) and confirms six risk loci (1q21.1, 3q29, 7q11.23, 16p11.2, 15q11.2-13, and 22q11.2). The addition of published CNV data from the Autism Genome Project (AGP) and exome sequencing data from the SSC and the Autism Sequencing Consortium (ASC) shows that genes within small de novo deletions, but not within large dnCNVs, significantly overlap the high-effect risk genes identified by sequencing. Alternatively, large dnCNVs are found likely to contain multiple modest-effect risk genes. Overall, we find strong evidence that de novo mutations are associated with ASD apart from the risk for intellectual disability. Extending the transmission and de novo association test (TADA) to include small de novo deletions reveals 71 ASD risk loci, including 6 CNV regions (noted above) and 65 risk genes (FDR ≤ 0.1).
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If the clinical population is constrained to those with ASD who are female or who have intellectual disability, multiple unaffected siblings or seizures, ~20-30% have a rare de novo mutation.
“If the clinical population is constrained to those with ASD who are female or who have intellectual disability, multiple unaffected siblings or seizures, ~20-30% have a rare de novo mutation [Au: edits for clarity based on Matt's comment, ok?] 34 .”
From Autism spectrum disorder (2020) · cites this paper as [34]
The Results sections on IQ and phenotypic features report higher de novo mutation rates among probands with lower IQ, unaffected siblings (especially multiple siblings), or seizures. The Results also estimate that de novo mutations contribute to ASD risk in 17% of female probands. Our copy does not establish the claimed ~20–30% prevalence for each of the listed groups; its estimates concern risk-contributing dnCNVs and dnLoF mutations in the Simons Simplex Collection. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMore than 100 genes and genomic regions have now been confidently associated with ASD, mostly based on the study of heterozygous, germline, de novo mutations.
“More than 100 genes and genomic regions have now been confidently associated with ASD 34,35 , mostly based on the study of heterozygous, germline, de novo mutations.”
From Autism spectrum disorder (2020) · cites this paper as [34]
The Discussion reports 71 independent ASD risk loci identified through analysis of de novo mutations, supporting the claim’s account of an important route to discovery. It does not establish that more than 100 genes and genomic regions had been confidently associated with ASD: the Results estimate more than 200 de novo CNV risk loci, but distinguish that estimate from the 71 loci identified at FDR ≤ 0.1. The cited passages have no page numbers in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredConservative estimates are that 10-20% of people with ASD harbour a de novo rare point mutation or CNV contributing to their presentation.
“Conservative estimates are that 10 -20% of people with ASD harbour a de novo rare point mutation or CNV contributing to their presentation (34, 49,50).”
From Autism spectrum disorder (2020) · cites this paper as [34]
In Results, “De Novo Mutations Contribute to ASD Risk in over 10% of Simplex Cases,” the paper estimates that de novo CNVs and/or loss-of-function mutations mediate ASD risk in 11% of simplex cases and calls this a conservative estimate. This supports the claim’s approximate magnitude, but the paper’s estimate is for simplex cases, not all people with ASD, and for loss-of-function mutations rather than all rare point mutations. (LLM, conf=0.87)
Experimental — accuracy not yet measuredEfforts aimed at the highest confidence risk genes identified in idiopathic ASD, such as SCN2A and CHD8, are almost certain to soon follow on attempts at gene therapy for monogenic neurodevelopmental disorders.
“Efforts aimed at the highest confidence risk genes identified in idiopathic ASD, such as SCN2A and CHD8 34,35 , are almost certain to soon follow on attempts at gene therapy for monogenic neurodevelopmental disorders”
From Autism spectrum disorder (2020) · cites this paper as [34]
The Results section on ASD-associated genes identifies CHD8 among the paper’s 65 ASD risk genes, supporting the gene-identification part of the citation. The passages retrieved for SCN2A do not identify it as a risk gene, so our copy does not establish that specific example. The citation is attached to the gene-identification phrase, not the citing authors’ prediction about gene therapy; page numbers were unavailable. (LLM, conf=0.82)
Experimental — accuracy not yet measuredRare inherited and de novo variants are major contributors to individual risk for ASD.
“Rare inherited and de novo variants are major contributors to individual risk for autism spectrum disorder (ASD)”
From Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism (2020) · cites this paper as Sanders et al., 2015
The Results section, “De Novo Mutations Contribute to ASD Risk in over 10% of Simplex Cases” (page unavailable), estimates that de novo CNVs or loss-of-function mutations mediate risk in 11% of simplex cases. But “Rare Inherited CNVs Show Limited Evidence of ASD Association” (page unavailable) finds no significant overall excess of rare inherited CNVs and says their contribution in simplex ASD must be small. The paper therefore supports the de novo part, but not the unqualified claim that rare inherited variants are also major contributors. (LLM, conf=0.88)
Experimental — accuracy not yet measured
The yield of de novo structural and sequence variations contributing to ASD is nearly double in girls than in boys.
“For example, the yield of de novo structural and sequence variations contributing to ASD is nearly double in girls than in boys (34).”
From Autism spectrum disorder (2020) · cites this paper as [34]
Past analyses have identified two major groups of ASD-associated genes: those involved in gene expression regulation (GER) and those involved in neuronal communication (NC).
“Past analyses have identified two major groups of ASD-associated genes: those involved in gene expression regulation (GER) and those involved in neuronal communication (NC) (De Rubeis et al., 2014; Sanders et al., 2015).”
From Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism (2020) · cites this paper as Sanders et al., 2015
In addition to GWAS, studies have begun to uncover rare genetic variants, such as copy number variants or protein truncating mutations, especially in ASD, which should be assessed as possible diagnostic biomarkers.
“It should be also considered that, in addition to GWAS, studies have begun to uncover rare genetic variants, such as copy number variants or protein truncating mutations, especially in ASD 67,68 , which should be assessed as possible diagnostic biomarkers.”
From Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review (2023) · cites this paper as [67]
Autistic females are more likely to have high-impact de novo variants than autistic males.
“Autistic females are more likely to have high-impact de novo variants than autistic males17,26,46,47”
From Genetic correlates of phenotypic heterogeneity in autism (2022) · cites this paper as [47]
Females with ASD have a greater burden of rare CNVs and gene mutations than males with ASD.
“This hypothesis is supported by previous studies showing that females with ASD have a greater burden of rare CNVs1,11,12 and gene mutations13,14.”
From A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex (2022) · cites this paper as [11]
Genetic studies of de novo variants have consistently supported a female protective effect against ASD.
“The possibility of a “female protective effect” (FPE) against ASD has been described extensively and has received consistent support from the results of genetic studies of de novo variants.4, 5, 6, 7, 8, 9, 10, 11, 12, 13”
From The female protective effect against autism spectrum disorder (2022) · cites this paper as [6]
Many types of ASD-associated de novo variants are observed more frequently in female cases.
“Many types of ASD-associated de novo variants are observed more frequently in female cases.4, 5, 6, 7, 8, 9, 10, 11, 12, 13”
From The female protective effect against autism spectrum disorder (2022) · cites this paper as [6]
Previously described differences in rare variant burden, along with preliminary evidence from studies of SNP heritability, already violate the assumption of equivalent genetic architecture between male ASD and female ASD.
“The previously described differences in rare variant burden, along with preliminary evidence from studies of SNP heritability, already violate that assumption.5, 6, 7, 8,15”
From The female protective effect against autism spectrum disorder (2022) · cites this paper as [6]
dnCNVs in female cases affect more genes than dnCNVs in males (2.3 vs 0.47 genes per female proband vs per male proband; p-value = 0.013).
“Similar to Sanders et al.8 dnCNVs in female cases also affect more genes than dnCNVs in males (2.3 vs 0.47 genes in dnCNVs per female proband vs per male proband, respectively; p-value = 0.013, Kruskal–Wallis test).”
From Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes (2019) · cites this paper as [8]
MBD5 and IRF2BPL reached an FDR value of ≤0.1 in a previous meta-analysis but were not significant in this analysis of published de novo variants, because the previous study also included de novo CNVs and deleterious variants of unknown inheritance from a case-control sample.
“MBD5 and IRF2BPL reached an FDR value of ≤0.1 in a previous meta-analysis but not significant in our analysis of published de novo variants,8 because the previous study also included evidence from de novo CNVs and deleterious variants of unknown inheritance from a case-control sample in that analysis.”
From Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes (2019) · cites this paper as [8]
ASD individuals have two- to three-fold more rare CNVs and de novo loss-of-function variants than unaffected siblings.
“individuals with ASD have a two- to three-fold increase in the number of rare copy number variations (CNVs) and de novo loss-of-function (nonsense, frameshift, and splice site) variants compared to their unaffected siblings11–14.”
From Genome-wide detection of tandem DNA repeats that are expanded in autism (2020) · cites this paper as [13]
Over 100 genes and loci are known to increase ASD likelihood.
“more than 100 genes and loci are known to be associated with increased likelihood of ASD2,13.”
From Genome-wide detection of tandem DNA repeats that are expanded in autism (2020) · cites this paper as [13]
ASD-associated genes including ARX, SCN1A, GABRB3, CNTNAP2, and possibly CNTNAP4 illustrate the importance of E:I coordination.
“Taken together with other genes (e.g., GABRB3, CNTNAP2 (Sanders et al., 2015), and possibly CNTNAP4 (Karayannis et al. 2014)), these ASD-associated genes illustrate the importance of E:I coordination.”
From Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops (2016) · cites this paper as Sanders et al., 2015
Both rare missense and inherited mutations contribute to autism spectrum disorder, with smaller effect sizes than de novo variants.
“both rare missense and inherited mutations have been shown to contribute to ASD, simply with smaller effect sizes than de novo variants (Ruzzo et al., 2018; Sanders et al., 2015)”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Sanders et al., 2015
Applying TADA to exomes or whole genomes in large family samples is the most effective strategy for identifying ASD susceptibility genes.
“The application of this approach to exomes or whole genomes in large family samples has since become the most effective strategy for identifying ASD susceptibility genes (De Rubeis et al., 2014; Iossifov et al., 2014; Sanders et al., 2015; Satterstrom et al., 2018).”
From Getting to the cores of autism (2019) · cites this paper as Sanders et al., 2015
Sanders et al. found no increased rate of de novo protein-truncating mutations inside large CNVs containing more than seven genes, but a significantly increased rate within smaller CNVs.
“Sanders et al. examined rates of gene mutations within large CNVs and without and found no evidence for an increased rate of de novo protein truncation mutations inside of large CNVs that contained >7 genes, whereas there was a significantly increased rate of de novo mutation within smaller CNVs (Sanders et al., 2015).”
From Getting to the cores of autism (2019) · cites this paper as Sanders et al., 2015
ANK2 is an autism spectrum disorder risk gene.
“the ASD risk gene ANK2 (81)”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [81]
FOXP1 has been implicated in ASD aetiology based on observations of multiple de novo SNVs.
“FOXP1, a member of the Forkhead Box P family of transcription factors has been implicated in ASD aetiology based on observations of multiple de novo SNVs [65–67].”
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References 68 · Cited by 1,430
- Authors
- Sanders, S. J., He, X., Willsey, A. J., Ercan-Sencicek, A. G., Samocha, K. E., Cicek, A. E., Murtha, M. T., Bal, V. H., Bishop, S. L., Dong, S., Goldberg, A. P., Jinlu, C., Keaney, J. F., Klei, L., Mandell, J. D., Moreno-De-Luca, D., Poultney, C. S., Robinson, E. B., Smith, L., Solli-Nowlan, T., Su, M. Y., Teran, N. A., Walker, M. F., Werling, D. M., Beaudet, A. L., Cantor, R. M., Fombonne, E., Geschwind, D. H., Grice, D. E., Lord, C., Lowe, J. K., Mane, S. M., Martin, D. M., Morrow, E. M., Talkowski, M. E., Sutcliffe, J. S., Walsh, C. A., Yu, T. W., Ledbetter, D. H., Martin, C. L., Cook, E. H., Buxbaum, J. D., Daly, M. J., Devlin, B., Roeder, K., & State, M. W.
- Affiliations
- University of California, San Francisco (US)
- University of Chicago (US)
- Broad Institute (US)
- Yale University (US)
- Peking University (CN)
- Icahn School of Medicine at Mount Sinai (US)
- University of Pittsburgh (US)
- Harvard University (US)
- Stanford Medicine (US)
- Baylor College of Medicine (US)
- University of California, Los Angeles (US)
- Oregon Health & Science University (US)
- Weill Cornell Medicine (US)
- University of Michigan (US)
- Brown University (US)
- Massachusetts General Hospital (US)
- Vanderbilt University (US)
- Boston Children's Hospital (US)
- Autism & Developmental Medicine Institute (US)
- University of Illinois Chicago (US)
- Carnegie Mellon University (US)
- Corresponding author
- Sanders, Stephan J.
- State, Matthew W.
- ORCID
- Sanders, Stephan J.
- He, Xin
- Willsey, A. Jeremy
- Samocha, Kaitlin E.
- Bal, Vanessa H.
- Bishop, Somer L.
- Dong, Shan
- Goldberg, Arthur P.
- Keaney, John F.
- Klei, Lambertus
- Mandell, Jeffrey D.
- Robinson, Elise B.
- Solli-Nowlan, Tor
- Su, Mack Y.
- Teran, Nicole A.
- Werling, Donna M.
- Beaudet, Arthur L.
- Cantor, Rita M.
- Fombonne, Eric
- Geschwind, Daniel H.
- Grice, Dorothy E.
- Lord, Catherine
- Lowe, Jennifer K.
- Mane, Shrikant M.
- Martin, Donna M.
- Morrow, Eric M.
- Talkowski, Michael E.
- Sutcliffe, James S.
- Walsh, Christopher A.
- Yu, Timothy W.
- Ledbetter, David H.
- Martin, Christa Lese
- Cook, Edwin H.
- Buxbaum, Joseph D.
- Daly, Mark J.
- Devlin, Bernie
- Roeder, Kathryn
- State, Matthew W.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 87
- Issue
- 6
- Pages
- 1215-1233
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4624267
- OpenAlex
- W2153773863
- Semantic Scholar
- 177d95d153942b4ed6c294bee863593e6bdf070d
- Cited by
- 1,430
- References
- 68
- Citations by year
- 2026: 77 · 2025: 100 · 2024: 119 · 2023: 132 · 2022: 146 · 2021: 163 · 2020: 176 · 2019: 164 · 2018: 128 · 2017: 131 · 2016: 84 · 2015: 8 · 2014: 1
- FWCI
- 70.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Bilkent University Institutional Repository (Bilkent University) (submittedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Yale University
- Simons Foundation Autism Research Initiative
- Natera
- National Institutes of Health (1s10od018522-01)
- Canadian Institutes of Health Research
- National Institute of Mental Health (U01MH100209, MH100233, U01MH100229, R01MH097849, MH19961-14, MH074090, MH071584-07, R37MH057881, MH100239, U01MH100239, R01MH057881, MH100229, MH057881, MH100209, U01MH100233, R01MH074090, T32MH019961, R25MH071584, T32MH014276)
- National Institute on Deafness and Other Communication Disorders (DC009410, R01DC009410, P30DC005188)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- autism spectrum disorder, de novo copy number variants, de novo deletion, de novo mutations, genetic susceptibility loci, Simons Simplex Collection, 1q21.1, 16p11.2, 22q11.2, intellectual disability, genome organization
- MeSH terms
- Autism Spectrum Disorder, Female, Humans, Male, Genetic Variation, Genetic Loci, Protein Interaction Maps
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