studies Study Report - Meta-analysis of hematological parameters (HGVST360)
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Identifier HGVST360
Study name Meta-analysis of hematological parameters
Total p-values imported 15
Phenotype(s) tested
Mean platelet volume
Study design Quantitative trait analysis with replication
Genotype platforms Affymetrix and Illumina ~2.11 million
Abstract The number and volume of cells in the blood affect a wide range of disorders including cancer and cardiovascular, metabolic, infectious and immune conditions. We consider here the genetic variation in eight clinically relevant hematological parameters, including hemoglobin levels, red and white blood cell counts and platelet counts and volume. We describe common variants within 22 genetic loci reproducibly associated with these hematological parameters in 13,943 samples from six European population-based studies, including 6 associated with red blood cell parameters, 15 associated with platelet parameters and 1 associated with total white blood cell count. We further identified a long-range haplotype at 12q24 associated with coronary artery disease and myocardial infarction in 9,479 cases and 10,527 controls. We show that this haplotype demonstrates extensive disease pleiotropy, as it contains known risk loci for type 1 diabetes, hypertension and celiac disease and has been spread by a selective sweep specific to European and geographically nearby populations.
Submission information
ContributorDate
Submitted
Author? Submitter? Source?
NHGRI Catalog of Published Genome-Wide Association Studies 2008-04-08 no no yes
HGVbaseG2P 2008-04-08 no yes no
Soranzo N et al. 2008-04-08 yes no no
Author communication info
Corresponding author Date of contact Response received Date of response Type of response info
Nicole Soranzo 2011-03-18 no -- --
2012-01-18 no -- --
Related links NHGRI GWAS catalog study annotation for HGVST360link
Background Not supplied  
Objectives Not supplied
Key results Not supplied
Conclusions Not supplied
Reason for study size Not supplied
Study power Not supplied
Sources of bias Not supplied
Limitations Not supplied
Acknowledgements Not supplied
Related citations
Soranzo N, Spector TD, Mangino M et al.link
A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium.
Nature genetics 2009;41(11):1182-90
Hindorff LA, Sethupathy P, Junkins HA et al.link
Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.
Proceedings of the National Academy of Sciences U S A. 2009 May 27