Inference of the Genetic Architecture Underlying BMI and Height with the Use of 20,240 Sibling Pairs

G. Hemani, J. Yang, A.A.E. Vinkhuyzen, J.E. Powell, G. Willemsen, J.J. Hottenga, A. Abdellaoui, M. Mangino, A.M. Valdes, S.E. Medland, P.A.F. Madden, A.C. Heath, A.K. Henders, DR Nyholt, E.J.C. de Geus, P.K.E. Magnusson, E. Ingelsson, G.W. Montgomery, T.D. Spector, D.I. BoomsmaN.L. Pedersen, N.G. Martin, P.M. Visscher

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Evidence that complex traits are highly polygenic has been presented by population-based genome-wide association studies (GWASs) through the identification of many significant variants, as well as by family-based de novo sequencing studies indicating that several traits have a large mutational target size. Here, using a third study design, we show results consistent with extreme polygenicity for body mass index (BMI) and height. On a sample of 20,240 siblings (from 9,570 nuclear families), we used a within-family method to obtain narrow-sense heritability estimates of 0.42 (SE = 0.17, p = 0.01) and 0.69 (SE = 0.14, p = 6 × 10
Original languageEnglish
Pages (from-to)865-875
JournalAmerican Journal of Human Genetics
Volume93
Issue number5
Early online date31 Oct 2013
DOIs
Publication statusPublished - 2013

Cohort Studies

  • Netherlands Twin Register (NTR)

Fingerprint

Dive into the research topics of 'Inference of the Genetic Architecture Underlying BMI and Height with the Use of 20,240 Sibling Pairs'. Together they form a unique fingerprint.

Cite this