Difference between revisions of "GIANT consortium"

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= Selected Recent Publications =
 
= Selected Recent Publications =
  
*Locke AE*, Kahali B*, Berndt SI*, Justice AE*, Pers TH*, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T et al. (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature In press.  
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*Locke AE*, Kahali B*, Berndt SI*, Justice AE*, Pers TH*, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T et al. (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature, In press.  
  
*Shungin D*, Winkler TW*, Croteau-Chonka DC*, Ferreira T*, Locke AE*, Magi R*, Strawbridge R, Pers TH, Fischer K, Justice AE, Workalemahu T, Wu JM, et al.  (2015) New genetic loci link adipocyte and insulin biology to body fat distribution. Nature In press.
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*Shungin D*, Winkler TW*, Croteau-Chonka DC*, Ferreira T*, Locke AE*, Magi R*, Strawbridge R, Pers TH, Fischer K, Justice AE, Workalemahu T, Wu JM, et al.  (2015) New genetic loci link adipocyte and insulin biology to body fat distribution. Nature, In press.
  
*[http://www.ncbi.nlm.nih.gov/pubmed/25282103?dopt=Citation Wood AR, Esko T, Yang J, Vedantam S, Pers TH, Gustafsson S, Chu AY, Estrada K, Luan J, Kutalik Z, et al.] (2014). Defining the role of common variation in the genomic and biological architecture of adult human height (2014). Nature Genetics. <strong>46</strong>, 1173-86.
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*[http://www.ncbi.nlm.nih.gov/pubmed/25282103?dopt=Citation Wood AR, Esko T, Yang J, Vedantam S, Pers TH, Gustafsson S, Chu AY, Estrada K, Luan J, Kutalik Z, et al.] (2014). Defining the role of common variation in the genomic and biological architecture of adult human height (2014). Nature Genetics <strong>46</strong>, 1173-86.
  
 
*[http://www.ncbi.nlm.nih.gov/pubmed/23563607?dopt=Citation Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al.] (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics <strong>45</strong>, 501-512.
 
*[http://www.ncbi.nlm.nih.gov/pubmed/23563607?dopt=Citation Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, et al.] (2013). Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics <strong>45</strong>, 501-512.

Revision as of 22:46, 9 February 2015

GIANT: Genetic Investigation of ANthropometric Traits

The Genetic Investigation of ANthropometric Traits (GIANT) consortium is an international collaboration that seeks to identify genetic loci that modulate human body size and shape, including height and measures of obesity. The GIANT consortium is a collaboration between investigators from many different groups, institutions, countries, and studies, and the results represent their combined efforts. The primary approach has been meta-analysis of genome-wide association data and other large-scale genetic data sets. Anthropometric traits that have been studied by GIANT include body mass index (BMI), height, and traits related to waist circumference (such as waist-hip ratio adjusted for BMI, or WHRadjBMI). Thus far, the GIANT consortium has identified common genetic variants at hundreds of loci that are associated with anthropometric traits.


Data Release

We are releasing the summary data from our 2010 meta-analyses of GWA data, in order to enable other researchers to examine particular variants or loci for their evidence of association with anthropometric traits. The files include p-values and direction of effect at over 2 million directly genotyped or imputed single nucleotide polymorphisms (SNPs). To prevent the possibility of identification of individuals from these summary results, we are not releasing allele frequency data from our samples. A manuscript describing the rationale for releasing association data but not frequency data is in preparation.

Click here to access the Summarized Genome-Wide Meta-analysis data files

Click here to create regional association plots from GIANT data using LocusZoom

Then select "Plot Using Published GWAS Results"


Selected Recent Publications

  • Locke AE*, Kahali B*, Berndt SI*, Justice AE*, Pers TH*, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T et al. (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature, In press.
  • Shungin D*, Winkler TW*, Croteau-Chonka DC*, Ferreira T*, Locke AE*, Magi R*, Strawbridge R, Pers TH, Fischer K, Justice AE, Workalemahu T, Wu JM, et al. (2015) New genetic loci link adipocyte and insulin biology to body fat distribution. Nature, In press.

Participating Cohorts and Research Groups

A growing list of collaborating cohorts and groups may be found here.