4.8 Article

Genome-wide association analysis identifies 20 loci that influence adult height

Journal

NATURE GENETICS
Volume 40, Issue 5, Pages 575-583

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/ng.121

Keywords

-

Funding

  1. Medical Research Council [G0600705, G9521010, MC_U106188470, G0701863] Funding Source: researchfish
  2. MRC [MC_U106188470, G0701863, G0600705, G9521010] Funding Source: UKRI
  3. British Heart Foundation [FS/05/061/19501, PG/02/128/14470, PG02/128] Funding Source: Medline
  4. Medical Research Council [MC_U106188470, G0701863, G9521010D, G0600705, G9521010, G9521010(63660)] Funding Source: Medline
  5. Wellcome Trust [076113, 077016, 090532, 077011] Funding Source: Medline

Ask authors/readers for more resources

Adult height is a model polygenic trait, but there has been limited success in identifying the genes underlying its normal variation. To identify genetic variants influencing adult human height, we used genome-wide association data from 13,665 individuals and genotyped 39 variants in an additional 16,482 samples. We identified 20 variants associated with adult height ( P < 5 x 10(-7), with 10 reaching P < 1 iota x 10(-10)). Combined, the 20 SNPs explain similar to 3% of height variation, with a similar to 5 cm difference between the 6.2% of people with iota 7 or fewer 'tall' alleles compared to the 5.5% with 27 or more 'tall' alleles. The loci we identified implicate genes in Hedgehog signaling ( IHH, HHIP, PTCH1), extracellular matrix ( EFEMP1, ADAMTSL3, ACAN) and cancer ( CDK6, HMGA2, DLEU7) pathways, and provide new insights into human growth and developmental processes. Finally, our results provide insights into the genetic architecture of a classic quantitative trait.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available