TY - JOUR
T1 - Dominance genetic variation contributes little to the missing heritability for human complex traits
AU - Zhu, Zhihong
AU - Bakshi, Andrew
AU - Vinkhuyzen, Anna A.E.
AU - Hemani, Gibran
AU - Lee, Sang Hong
AU - Nolte, Ilja M.
AU - Van Vliet-Ostaptchouk, Jana V.
AU - Snieder, Harold
AU - Esko, Tonu
AU - Milani, Lili
AU - Mägi, Reedik
AU - Metspalu, Andres
AU - Hill, William G.
AU - Weir, Bruce S.
AU - Goddard, Michael E.
AU - Visscher, Peter M.
AU - Yang, Jian
N1 - Funding Information:
This research was supported by the Australian Research Council (130102666), the Australian National Health and Medical Research Council (1052684, 613601, 1048853), the USA NIH (GM057091, GM099568, MH100141), the Sylvia & Charles Viertel Charitable Foundation, and the UQ Foundation. This study makes use of data from the database of Genotypes and Phenotypes (dbGaP) under accession phs000090, the Lifelines study, and the EGCUT study (see the Supplemental Acknowledgments for the full set of acknowledgments for these data).
Publisher Copyright:
© 2015 The American Society of Human Genetics.
PY - 2015/3/5
Y1 - 2015/3/5
N2 - For human complex traits, non-additive genetic variation has been invoked to explain "missing heritability," but its discovery is often neglected in genome-wide association studies. Here we propose a method of using SNP data to partition and estimate the proportion of phenotypic variance attributed to additive and dominance genetic variation at all SNPs (hSNP2 and δSNP2) in unrelated individuals based on an orthogonal model where the estimate of hSNP2 is independent of that of δSNP2. With this method, we analyzed 79 quantitative traits in 6,715 unrelated European Americans. The estimate of δSNP2 averaged across all the 79 quantitative traits was 0.03, approximately a fifth of that for additive variation (average hSNP2 = 0.15). There were a few traits that showed substantial estimates of δSNP2, none of which were replicated in a larger sample of 11,965 individuals. We further performed genome-wide association analyses of the 79 quantitative traits and detected SNPs with genome-wide significant dominance effects only at the ABO locus for factor VIII and von Willebrand factor. All these results suggest that dominance variation at common SNPs explains only a small fraction of phenotypic variation for human complex traits and contributes little to the missing narrow-sense heritability problem.
AB - For human complex traits, non-additive genetic variation has been invoked to explain "missing heritability," but its discovery is often neglected in genome-wide association studies. Here we propose a method of using SNP data to partition and estimate the proportion of phenotypic variance attributed to additive and dominance genetic variation at all SNPs (hSNP2 and δSNP2) in unrelated individuals based on an orthogonal model where the estimate of hSNP2 is independent of that of δSNP2. With this method, we analyzed 79 quantitative traits in 6,715 unrelated European Americans. The estimate of δSNP2 averaged across all the 79 quantitative traits was 0.03, approximately a fifth of that for additive variation (average hSNP2 = 0.15). There were a few traits that showed substantial estimates of δSNP2, none of which were replicated in a larger sample of 11,965 individuals. We further performed genome-wide association analyses of the 79 quantitative traits and detected SNPs with genome-wide significant dominance effects only at the ABO locus for factor VIII and von Willebrand factor. All these results suggest that dominance variation at common SNPs explains only a small fraction of phenotypic variation for human complex traits and contributes little to the missing narrow-sense heritability problem.
UR - http://www.scopus.com/inward/record.url?scp=84924241302&partnerID=8YFLogxK
U2 - 10.1016/j.ajhg.2015.01.001
DO - 10.1016/j.ajhg.2015.01.001
M3 - Article
C2 - 25683123
AN - SCOPUS:84924241302
SN - 0002-9297
VL - 96
SP - 377
EP - 385
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
IS - 3
ER -