Meta-analysis of the heritability of human traits based on fifty years of twin studies

Polderman, Tinca J. C., Benyamin, Beben, de Leeuw, Christiaan A, Sullivan, Patrick F., van Bochoven, Arjen, Visscher, Peter M. and Posthuma, Danielle (2015) Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47 7: 702-709. doi:10.1038/ng.3285

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ364460_OA.pdf Full text (open access) application/pdf 4.08MB 0

Author Polderman, Tinca J. C.
Benyamin, Beben
de Leeuw, Christiaan A
Sullivan, Patrick F.
van Bochoven, Arjen
Visscher, Peter M.
Posthuma, Danielle
Title Meta-analysis of the heritability of human traits based on fifty years of twin studies
Journal name Nature Genetics   Check publisher's open access policy
ISSN 1546-1718
Publication date 2015-05-18
Year available 2015
Sub-type Article (original research)
DOI 10.1038/ng.3285
Open Access Status Not yet assessed
Volume 47
Issue 7
Start page 702
End page 709
Total pages 11
Place of publication New York, NY, United States
Publisher Nature Publishing Group
Language eng
Subject 1311 Genetics
Abstract Despite a century of research on complex traits in humans, the relative importance and specific nature of the influences of genes and environment on human traits remain controversial. We report a meta-analysis of twin correlations and reported variance components for 17,804 traits from 2,748 publications including 14,558,903 partly dependent twin pairs, virtually all published twin studies of complex traits. Estimates of heritability cluster strongly within functional domains, and across all traits the reported heritability is 49%. For a majority (69%) of traits, the observed twin correlations are consistent with a simple and parsimonious model where twin resemblance is solely due to additive genetic variation. The data are inconsistent with substantial influences from shared environment or non-additive genetic variation. This study provides the most comprehensive analysis of the causes of individual differences in human traits thus far and will guide future gene-mapping efforts. All the results can be visualized using the MaTCH webtool.
Keyword Heritability
Human traits
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID NWO VICI 453-14-005
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
UQ Diamantina Institute Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 239 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 253 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sat, 11 Jul 2015, 00:36:19 EST by Susan Day on behalf of UQ Diamantina Institute