Skip to main navigation Skip to search Skip to main content

Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

  • TOPMed Anthropometry Working Group
  • , NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
  • University of Queensland
  • University of Washington
  • University of Alabama at Birmingham
  • Johns Hopkins University
  • University of Michigan, Ann Arbor
  • University of Pittsburgh
  • University of Mississippi
  • Fred Hutchinson Cancer Research Center
  • Pennsylvania State University
  • University of Colorado Anschutz Medical Campus
  • University of North Carolina at Chapel Hill
  • The Lundquist Institute
  • Tulane University
  • Boston University
  • The Broad Institute of MIT and Harvard
  • Albert Einstein College of Medicine
  • Ohio State University
  • North Carolina State University
  • National Institutes of Health
  • Geisinger Health
  • University of Colorado Denver
  • Brigham and Women’s Hospital
  • Harvard University
  • Brown University
  • Vanderbilt University
  • George Washington University
  • Wake Forest University
  • University of Maryland, Baltimore
  • Icahn School of Medicine at Mount Sinai

Research output: Contribution to journal › Article › peer-review

262 Scopus citations

Abstract

Analyses of data from genome-wide association studies on unrelated individuals have shown that, for human traits and diseases, approximately one-third to two-thirds of heritability is captured by common SNPs. However, it is not known whether the remaining heritability is due to the imperfect tagging of causal variants by common SNPs, in particular whether the causal variants are rare, or whether it is overestimated due to bias in inference from pedigree data. Here we estimated heritability for height and body mass index (BMI) from whole-genome sequence data on 25,465 unrelated individuals of European ancestry. The estimated heritability was 0.68 (standard error 0.10) for height and 0.30 (standard error 0.10) for body mass index. Low minor allele frequency variants in low linkage disequilibrium (LD) with neighboring variants were enriched for heritability, to a greater extent for protein-altering variants, consistent with negative selection. Our results imply that rare variants, in particular those in regions of low linkage disequilibrium, are a major source of the still missing heritability of complex traits and disease.

Original languageEnglish
Pages (from-to)263-273
Number of pages11
JournalNature Genetics
Volume54
Issue number3
DOIs
StatePublished - Mar 2022

Fingerprint

Dive into the research topics of 'Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data'. Together they form a unique fingerprint.

Cite this