Common SNPs explain a large proportion of the heritability for human height


Autoria(s): Yang, J.; Benyamin, B.; McEvoy, B. P.; Gordon, S.; Henders, A. K.; Nyholt, D.R.; Madden, P. A.; Heath, A. C.; Martin, N. G.; Montgomery, G. W.; Goddard, M. E.; Visscher, P. M.
Data(s)

2010

Resumo

SNPs discovered by genome-wide association studies (GWASs) account for only a small fraction of the genetic variation of complex traits in human populations. Where is the remaining heritability? We estimated the proportion of variance for human height explained by 294,831 SNPs genotyped on 3,925 unrelated individuals using a linear model analysis, and validated the estimation method with simulations based on the observed genotype data. We show that 45% of variance can be explained by considering all SNPs simultaneously. Thus, most of the heritability is not missing but has not previously been detected because the individual effects are too small to pass stringent significance tests. We provide evidence that the remaining heritability is due to incomplete linkage disequilibrium between causal variants and genotyped SNPs, exacerbated by causal variants having lower minor allele frequency than the SNPs explored to date.

Identificador

http://eprints.qut.edu.au/91971/

Publicador

Nature Publishing Group

Relação

DOI:10.1038/ng.608

Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D.R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., Goddard, M. E., & Visscher, P. M. (2010) Common SNPs explain a large proportion of the heritability for human height. Nature Genetics, 42(7), pp. 565-569.

Direitos

Copyright 2010 Nature America Inc.

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation

Palavras-Chave #Adolescent #Adult #Aged #Aged #80 and over #Algorithms #Body Height/*genetics #Female #Gene Frequency #Genetic Predisposition to Disease/*genetics #Genome #Human #Genome-Wide Association Study/*methods #Genotype #Humans #Linkage Disequilibrium #Logistic Models #Male #Middle Aged #Models #Genetic #*Polymorphism #Single Nucleotide #Young Adult
Tipo

Journal Article