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Large-scale analysis identifies new genetic alterations associated with height
Date:12/30/2010

the population have the ability to capture new signals and disease variants that the common SNP arrays missed (i.e., 30 new signals in this study), as long as sample sizes are large enough. These low-frequency variants also confer greater effect sizes and, when associated with a disease, could be a lot closer to causative than more common variants. "The increased power to identify variants of small effect afforded by large sample size and dense genetic coverage including low-frequency SNPs within loci of interest has resulted in the identification of association between previously unreported genetic variants and height," concludes Dr. Keating.


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Contact: Elisabeth Lyons
enlyons@cell.com
617-386-2121
Cell Press
Source:Eurekalert

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