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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. Boomsma
  • N.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)

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