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Identification of ten loci associated with height highlights new biological pathways in human growth

In English

Författare

  • Guillaume Lettre
  • Anne U. Jackson
  • Christian Gieger
  • Fredrick R. Schumacher
  • Sonja I. Berndt
  • Serena Sanna
  • Susana Eyheramendy
  • Benjamin F. Voight
  • Johannah L. Butler
  • Candace Guiducci
  • Thomas Illig
  • Rachel Hackett
  • Iris M. Heid
  • Kevin B. Jacobs
  • Valeriya Lyssenko
  • Manuela Uda
  • Michael Boehnke
  • Stephen J. Chanock
  • Leif Groop
  • Frank B. Hu
  • Bo Isomaa
  • Peter Kraft
  • Leena Peltonen
  • Veikko Salomaa
  • David Schlessinger
  • David J. Hunter
  • Richard B. Hayes
  • Goncalo R. Abecasis
  • H-Erich Wichmann
  • Karen L. Mohlke
  • Joel N. Hirschhorn
Visa allt

Summary, in English

Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet- undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in 410,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 x 10(-7) to 8 x 10(-22)). Together, these 12 loci account for similar to 2% of the population variation in height. Individuals with <= 8 height-increasing alleles and >= 16 height-increasing alleles differ in height by similar to 3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait.

Publiceringsår

2008

Språk

Engelska

Sidor

584-591

Publikation/Tidskrift/Serie

Nature Genetics

Volym

40

Issue

5

Dokumenttyp

Artikel i tidskrift

Förlag

Nature Publishing Group

Ämne

  • Endocrinology and Diabetes

Status

Published

Forskningsgrupp

  • Translational Muscle Research

ISBN/ISSN/Övrigt

  • ISSN: 1546-1718