Genome-wide genetic homogeneity between sexes and populations for human height and body mass index

Jian Yang; Andrew Bakshi; Zhihong Zhu; Gibran Hemani; Anna A. E. Vinkhuyzen; Ilja M. Nolte; Jana V. van Vliet-Ostaptchouk; Harold Snieder; Lifelines Cohort Study; Tonu Esko; Lili Milani; Reedik Maegi; Andres Metspalu; Anders Hamsten; Patrik K. E. Magnusson; Nancy L. Pedersen; Erik Ingelsson; Peter M. Visscher

doi:10.1093/hmg/ddv443

Genome-wide genetic homogeneity between sexes and populations for human height and body mass index

Jian Yang^*, Andrew Bakshi, Zhihong Zhu, Gibran Hemani, Anna A. E. Vinkhuyzen, Ilja M. Nolte, Jana V. van Vliet-Ostaptchouk, Harold Snieder, Lifelines Cohort Study, Tonu Esko, Lili Milani, Reedik Maegi, Andres Metspalu, Anders Hamsten, Patrik K. E. Magnusson, Nancy L. Pedersen, Erik Ingelsson, Peter M. Visscher

^*Corresponding author for this work

Life Course Epidemiology (LCE)

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

48 Citations (Scopus)

Abstract

Sex-specific genetic effects have been proposed to be an important source of variation for human complex traits. Here we use two distinct genome-wide methods to estimate the autosomal genetic correlation (r(g)) between men and women for human height and body mass index (BMI), using individual-level (n = similar to 44 000) and summary-level (n = similar to 133 000) data from genome-wide association studies. Results are consistent and show that the between-sex genetic correlation is not significantly different from unity for both traits. In contrast, we find evidence of genetic heterogeneity between sexes for waist-hip ratio (r(g) = similar to 0.7) and between populations for BMI (r(g) = similar to 0.9 between Europe and the USA) but not for height. The lack of evidence for substantial genetic heterogeneity for body size is consistent with empirical findings across traits and species.

Original language	English
Pages (from-to)	7445-7449
Number of pages	5
Journal	Human Molecular Genetics
Volume	24
Issue number	25
DOIs	https://doi.org/10.1093/hmg/ddv443
Publication status	Published - 20-Dec-2015

Keywords

SEXUAL-DIMORPHISM
HERITABILITY
TRAITS
ARCHITECTURE
ASSOCIATION
COMMON
DISEASES
WEIGHT
TWIN

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Genome-wide genetic homogeneity between sexes and populations for human
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Lifelines Biobank
Bakker, S. (Creator), Dotinga, A. (Creator), Vonk, J. M. (Creator), Smidt, N. (Creator), Scholtens, S. (Creator), Swertz, M. (Creator), Wijmenga, C. (Creator), Wolffenbutel, B. H. (Creator), Stolk, R. (Creator), van Zon, S. (Creator), Rosmalen, J. (Creator), Postma, D. S. (Creator), de Boer, R. (Creator), Navis, G. (Creator), Slaets, J. (Creator), Ormel, J. (Creator), van Dijk, F. (Creator) & Bolmer, B. (Data Manager), Lifelines, 2006
https://www.lifelines.nl/ and one more link, https://catalogue.lifelines.nl/ (show fewer)
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Yang, J., Bakshi, A., Zhu, Z., Hemani, G., Vinkhuyzen, A. A. E., Nolte, I. M., van Vliet-Ostaptchouk, J. V., Snieder, H., Study, L. C., Esko, T., Milani, L., Maegi, R., Metspalu, A., Hamsten, A., Magnusson, P. K. E., Pedersen, N. L., Ingelsson, E., & Visscher, P. M. (2015). Genome-wide genetic homogeneity between sexes and populations for human height and body mass index. Human Molecular Genetics, 24(25), 7445-7449. https://doi.org/10.1093/hmg/ddv443

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title = "Genome-wide genetic homogeneity between sexes and populations for human height and body mass index",

abstract = "Sex-specific genetic effects have been proposed to be an important source of variation for human complex traits. Here we use two distinct genome-wide methods to estimate the autosomal genetic correlation (r(g)) between men and women for human height and body mass index (BMI), using individual-level (n = similar to 44 000) and summary-level (n = similar to 133 000) data from genome-wide association studies. Results are consistent and show that the between-sex genetic correlation is not significantly different from unity for both traits. In contrast, we find evidence of genetic heterogeneity between sexes for waist-hip ratio (r(g) = similar to 0.7) and between populations for BMI (r(g) = similar to 0.9 between Europe and the USA) but not for height. The lack of evidence for substantial genetic heterogeneity for body size is consistent with empirical findings across traits and species.",

keywords = "SEXUAL-DIMORPHISM, HERITABILITY, TRAITS, ARCHITECTURE, ASSOCIATION, COMMON, DISEASES, WEIGHT, TWIN",

author = "Jian Yang and Andrew Bakshi and Zhihong Zhu and Gibran Hemani and Vinkhuyzen, {Anna A. E.} and Nolte, {Ilja M.} and {van Vliet-Ostaptchouk}, {Jana V.} and Harold Snieder and Study, {Lifelines Cohort} and Tonu Esko and Lili Milani and Reedik Maegi and Andres Metspalu and Anders Hamsten and Magnusson, {Patrik K. E.} and Pedersen, {Nancy L.} and Erik Ingelsson and Visscher, {Peter M.}",

year = "2015",

month = dec,

day = "20",

doi = "10.1093/hmg/ddv443",

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Yang, J, Bakshi, A, Zhu, Z, Hemani, G, Vinkhuyzen, AAE, Nolte, IM , van Vliet-Ostaptchouk, JV , Snieder, H, Study, LC, Esko, T, Milani, L, Maegi, R, Metspalu, A, Hamsten, A, Magnusson, PKE, Pedersen, NL, Ingelsson, E & Visscher, PM 2015, 'Genome-wide genetic homogeneity between sexes and populations for human height and body mass index', Human Molecular Genetics, vol. 24, no. 25, pp. 7445-7449. https://doi.org/10.1093/hmg/ddv443

TY - JOUR

T1 - Genome-wide genetic homogeneity between sexes and populations for human height and body mass index

AU - Yang, Jian

AU - Bakshi, Andrew

AU - Zhu, Zhihong

AU - Hemani, Gibran

AU - Vinkhuyzen, Anna A. E.

AU - Nolte, Ilja M.

AU - van Vliet-Ostaptchouk, Jana V.

AU - Snieder, Harold

AU - Study, Lifelines Cohort

AU - Esko, Tonu

AU - Milani, Lili

AU - Maegi, Reedik

AU - Metspalu, Andres

AU - Hamsten, Anders

AU - Magnusson, Patrik K. E.

AU - Pedersen, Nancy L.

AU - Ingelsson, Erik

AU - Visscher, Peter M.

PY - 2015/12/20

Y1 - 2015/12/20

N2 - Sex-specific genetic effects have been proposed to be an important source of variation for human complex traits. Here we use two distinct genome-wide methods to estimate the autosomal genetic correlation (r(g)) between men and women for human height and body mass index (BMI), using individual-level (n = similar to 44 000) and summary-level (n = similar to 133 000) data from genome-wide association studies. Results are consistent and show that the between-sex genetic correlation is not significantly different from unity for both traits. In contrast, we find evidence of genetic heterogeneity between sexes for waist-hip ratio (r(g) = similar to 0.7) and between populations for BMI (r(g) = similar to 0.9 between Europe and the USA) but not for height. The lack of evidence for substantial genetic heterogeneity for body size is consistent with empirical findings across traits and species.

AB - Sex-specific genetic effects have been proposed to be an important source of variation for human complex traits. Here we use two distinct genome-wide methods to estimate the autosomal genetic correlation (r(g)) between men and women for human height and body mass index (BMI), using individual-level (n = similar to 44 000) and summary-level (n = similar to 133 000) data from genome-wide association studies. Results are consistent and show that the between-sex genetic correlation is not significantly different from unity for both traits. In contrast, we find evidence of genetic heterogeneity between sexes for waist-hip ratio (r(g) = similar to 0.7) and between populations for BMI (r(g) = similar to 0.9 between Europe and the USA) but not for height. The lack of evidence for substantial genetic heterogeneity for body size is consistent with empirical findings across traits and species.

KW - SEXUAL-DIMORPHISM

KW - HERITABILITY

KW - TRAITS

KW - ARCHITECTURE

KW - ASSOCIATION

KW - COMMON

KW - DISEASES

KW - WEIGHT

KW - TWIN

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DO - 10.1093/hmg/ddv443

M3 - Article

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SN - 0964-6906

VL - 24

SP - 7445

EP - 7449

JO - Human Molecular Genetics

JF - Human Molecular Genetics

IS - 25

ER -

Genome-wide genetic homogeneity between sexes and populations for human height and body mass index

Abstract

Keywords

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