Evidence map›Paper›PMID 36280734›Full record

ArticleNature genetics2022

Statistical and functional convergence of common and rare genetic influences on autism at chromosome 16p.

Daniel J Weiner, Emi Ling, Serkan Erdin, Derek J C Tai, Rachita Yadav, Jakob Grove, Jack M Fu, Ajay Nadig, Caitlin E Carey, Nikolas Baya and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Steroid hormone pathways, vitamin D and autism: a systematic review.Journal of neural transmission (Vienna, Austria : 1996) · 2023
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Common and rare variant genetic contributions in African Americans with autism.medRxiv : the preprint server for health sciences · 2025
    Article
  11. Review
  12. Transcriptomic Convergence and the Female Protective Effect in Autism.bioRxiv : the preprint server for biology · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Autism risk genes converge onbioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 20 institutions in 17 countries.

Daniel J WeinerStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. dweiner@broadinstitute.org.ORCID http://orcid.org/0000-0002-3744-6853
Emi LingStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-5287-0284
Serkan ErdinProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6587-2625
Derek J C TaiProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Rachita YadavProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jakob GroveCenter for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-2284-5744
Jack M FuStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Ajay NadigStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Caitlin E CareyStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nikolas BayaStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jonas Bybjerg-GrauholmThe Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-1705-4008
iPSYCH Consortium
ASD Working Group of the Psychiatric Genomics Consortium
ADHD Working Group of the Psychiatric Genomics Consortium
Sabina BerrettaDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Evan Z MacoskoStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jonathan SebatDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Luke J O'ConnorProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2730-9668
David M HougaardThe Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-5928-3517
Anders D BørglumCenter for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-8627-7219
Michael E TalkowskiStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2889-0992
Steven A McCarrollStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Elise B RobinsonStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. erob@broadinstitute.org.ORCID http://orcid.org/0000-0003-2314-2792
Broad Institute · USAarhus University · DKNorwegian Institute of Public Health · NOJohns Hopkins University · USStatens Serum Institut · DKUniversidade Federal do Rio Grande do Sul · BRUniversity of Copenhagen · DKCardiff University · GBIcahn School of Medicine at Mount Sinai · USInstitut Pasteur · FRKing's College London · GBMassachusetts General Hospital · USMonash University · AUUniversity of California San Diego · USUniversity of California, San Francisco · USUniversity of North Carolina Health Care · USUniversity of Oslo · NOUniversity of Pennsylvania · USUniversity of Toronto · CAUniversity of Washington · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Autism Genetics, Phase II: Increasing Representation of Human DiversityR01MH100027 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2013 to 2024
$31.7M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Scalable tool and comprehensive maps to interpret structural variation across the neuropsychiatric spectrumR01MH115957 · NIMH · BROAD INSTITUTE, INC. · PI TALKOWSKI, MICHAEL E · 2019 to 2025
$5.4M
2/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124851 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOERGLUM, ANDERS, DAVIS, LEA K · 2021 to 2025
$5.4M
Genetic analysis of high-risk Utah suicide pedigreesR01MH099134 · NIMH · UNIVERSITY OF UTAH · PI COON, HILARY · 2013 to 2017
$3.9M
Molecular mechanisms and genetic drivers of reciprocal genomic disordersR01HD096326 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TALKOWSKI, MICHAEL E · 2018 to 2022
$3.5M
Genome-Wide Association Analysis of Suicide DeathR01MH123619 · NIMH · UNIVERSITY OF UTAH · PI DOCHERTY, ANNA R. · 2020 to 2024
$3.2M
Dissecting recurrent microdeletion syndromes using dual-guide genome editingR01NS093200 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GUSELLA, JAMES F · 2015 to 2019
$2.9M
NHGRI NIH HHS T32 HG002295NICHD NIH HHS P50 HD103537NICHD NIH HHS R01 HD096326NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273NIMH NIH HHS F30 MH129009NIMH NIH HHS R01 MH069359NIMH NIH HHS R01 MH094400NIMH NIH HHS R01 MH099134NIMH NIH HHS R01 MH100027NIMH NIH HHS R01 MH111813NIMH NIH HHS R01 MH115957NIMH NIH HHS R01 MH122412NIMH NIH HHS R01 MH123619NIMH NIH HHS R01 MH124851NINDS NIH HHS R01 NS093200NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

The canonical paradigm for converting genetic association to mechanism involves iteratively mapping individual associations to the proximal genes through which they act. In contrast, in the present study we demonstrate the feasibility of extracting biological insights from a very large region of the genome and leverage this strategy to study the genetic influences on autism. Using a new statistical approach, we identified the 33-Mb p-arm of chromosome 16 (16p) as harboring the greatest excess of autism's common polygenic influences. The region also includes the mechanistically cryptic and autism-associated 16p11.2 copy number variant. Analysis of RNA-sequencing data revealed that both the common polygenic influences within 16p and the 16p11.2 deletion were associated with decreased average gene expression across 16p. The transcriptional effects of the rare deletion and diffuse common variation were correlated at the level of individual genes and analysis of Hi-C data revealed patterns of chromatin contact that may explain this transcriptional convergence. These results reflect a new approach for extracting biological insight from genetic association data and suggest convergence of common and rare genetic influences on autism at 16p.

Indexed as

Autistic DisorderChromosome DeletionChromosomesChromosomes, Human, Pair 16DNA Copy Number VariationsHumans

Identifiers

PMID36280734
PMCPMC9649437
OpenAlexW4307657653

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.