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

  • iPSYCH Consortium
  • , ASD Working Group of the Psychiatric Genomics Consortium
  • , ADHD Working Group of the Psychiatric Genomics Consortium
  • Broad Institute
  • Harvard University
  • Massachusetts General Hospital
  • Aarhus University
  • The Lundbeck Foundation Initiative for Integrative Psychiatric Research
  • Statens Serum Institut
  • MHC Sct. Hans
  • University of Copenhagen
  • University of Oslo
  • University of Helsinki
  • New York University
  • Johns Hopkins University
  • Cajal Neuroscience
  • University of Toronto
  • Vrije Universiteit Amsterdam
  • University of Pittsburgh
  • University of Illinois at Chicago
  • University of Washington
  • Norwegian Institute of Public Health
  • Erasmus University Rotterdam
  • University of Pennsylvania
  • University of Utah
  • Humboldt University of Berlin
  • University of North Carolina at Chapel Hill
  • Vanderbilt University
  • Indiana University Bloomington
  • Stanford University
  • Icahn School of Medicine at Mount Sinai
  • University of California at San Francisco

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

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.

Original languageEnglish
Pages (from-to)1630-1639
Number of pages10
JournalNature Genetics
Volume54
Issue number11
DOIs
StatePublished - Nov 2022

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