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Association studies using the Metabochip array - Samples analysed by the WTCCC (1958 British Birth Cohort (58BC), Hypertension cohort (HT), Type 2 Diabetes Cohort (T2D) and Coronary Artery Disease (CAD) cohort)

Genomewide association studies (GWAS) have proven a powerful hypothesis-free method to identify common disease-associated variants. Even quite large GWAS, however, have only at best identified moderate proportions of the genetic variants contributing to disease heritability. To provide cost-effective genotyping of common and rare variants to map the remaining heritability and to fine-map established loci, the Metabochip Consortium has developed a 200,000 SNP chip that has been produced in very large numbers for a fraction of the cost of GWAS chips. This chip provides a powerful tool for genetic studies of metabolic, cardiovascular and anthropometric traits (Voight et al., in press PLoS Genetics).

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00010000230 - Illuminus 2943
EGAD00010000232 - Illuminus 2975
EGAD00010000234 Illumina HumanExome-12v1_A-GenCall, zCall 12241
EGAD00010000236 - Illuminus, GenoSNP 3125
Publications Citations
The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits.
PLoS Genet 8: 2012 e1002793
Search for new loci and low-frequency variants influencing glioma risk by exome-array analysis.
Eur J Hum Genet 24: 2016 717-724
Germ line mutations in shelterin complex genes are associated with familial chronic lymphocytic leukemia.
Blood 128: 2016 2319-2326