TY - JOUR
T1 - Evidence of Inbreeding Depression on Human Height
AU - on behalf of the ROHgen Consortium
AU - McQuillan, Ruth
AU - Eklund, Niina
AU - Pirastu, Nicola
AU - Kuningas, Maris
AU - McEvoy, Brian P
AU - Esko, Tõnu
AU - Corre, Tanguy
AU - Davies, Gail
AU - Kaakinen, Marika
AU - Lyytikäinen, Leo-Pekka
AU - Kristiansson, Kati
AU - Havulinna, Aki S
AU - Gögele, Martin
AU - Vitart, Veronique
AU - Tenesa, Albert
AU - Aulchenko, Yurii
AU - Hayward, Caroline
AU - Johansson, Asa
AU - Boban, Mladen
AU - Ulivi, Sheila
AU - Robino, Antonietta
AU - Boraska, Vesna
AU - Igl, Wilmar
AU - Wild, Sarah H
AU - Zgaga, Lina
AU - Amin, Najaf
AU - Theodoratou, Evropi
AU - Polašek, Ozren
AU - Girotto, Giorgia
AU - Lopez, Lorna M
AU - Sala, Cinzia
AU - Lahti, Jari
AU - Laatikainen, Tiina
AU - Prokopenko, Inga
AU - Kals, Mart
AU - Viikari, Jorma
AU - Yang, Jian
AU - Pouta, Anneli
AU - Estrada, Karol
AU - Starr, John M
AU - Farrington, Susan M
AU - Campbell, Harry
AU - Porteous, David
AU - Hastie, Nicholas D
AU - Wright, Alan F
AU - Dunlop, Malcolm
AU - Rudan, Igor
AU - Deary, Ian J
AU - Visscher, Peter M
AU - Wilson, James F
PY - 2012
Y1 - 2012
N2 - Stature is a classical and highly heritable complex trait, with 80%-90% of variation explained by genetic factors. In recent years, genome-wide association studies (GWAS) have successfully identified many common additive variants influencing human height; however, little attention has been given to the potential role of recessive genetic effects. Here, we investigated genome-wide recessive effects by an analysis of inbreeding depression on adult height in over 35,000 people from 21 different population samples. We found a highly significant inverse association between height and genome-wide homozygosity, equivalent to a height reduction of up to 3 cm in the offspring of first cousins compared with the offspring of unrelated individuals, an effect which remained after controlling for the effects of socio-economic status, an important confounder (χ(2) = 83.89, df = 1; p = 5.2×10(-20)). There was, however, a high degree of heterogeneity among populations: whereas the direction of the effect was consistent across most population samples, the effect size differed significantly among populations. It is likely that this reflects true biological heterogeneity: whether or not an effect can be observed will depend on both the variance in homozygosity in the population and the chance inheritance of individual recessive genotypes. These results predict that multiple, rare, recessive variants influence human height. Although this exploratory work focuses on height alone, the methodology developed is generally applicable to heritable quantitative traits (QT), paving the way for an investigation into inbreeding effects, and therefore genetic architecture, on a range of QT of biomedical importance.
AB - Stature is a classical and highly heritable complex trait, with 80%-90% of variation explained by genetic factors. In recent years, genome-wide association studies (GWAS) have successfully identified many common additive variants influencing human height; however, little attention has been given to the potential role of recessive genetic effects. Here, we investigated genome-wide recessive effects by an analysis of inbreeding depression on adult height in over 35,000 people from 21 different population samples. We found a highly significant inverse association between height and genome-wide homozygosity, equivalent to a height reduction of up to 3 cm in the offspring of first cousins compared with the offspring of unrelated individuals, an effect which remained after controlling for the effects of socio-economic status, an important confounder (χ(2) = 83.89, df = 1; p = 5.2×10(-20)). There was, however, a high degree of heterogeneity among populations: whereas the direction of the effect was consistent across most population samples, the effect size differed significantly among populations. It is likely that this reflects true biological heterogeneity: whether or not an effect can be observed will depend on both the variance in homozygosity in the population and the chance inheritance of individual recessive genotypes. These results predict that multiple, rare, recessive variants influence human height. Although this exploratory work focuses on height alone, the methodology developed is generally applicable to heritable quantitative traits (QT), paving the way for an investigation into inbreeding effects, and therefore genetic architecture, on a range of QT of biomedical importance.
U2 - 10.1371/journal.pgen.1002655
DO - 10.1371/journal.pgen.1002655
M3 - Article
C2 - 22829771
SN - 1553-7390
VL - 8
JO - PLoS Genetics
JF - PLoS Genetics
IS - 7
M1 - e1002655
ER -