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Principal components analysis corrects for stratification in genome-wide association studies

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      Most cited references 34

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      A haplotype map of the human genome.

        (2005)
      Inherited genetic variation has a critical but as yet largely uncharacterized role in human disease. Here we report a public database of common variation in the human genome: more than one million single nucleotide polymorphisms (SNPs) for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted. These data document the generality of recombination hotspots, a block-like structure of linkage disequilibrium and low haplotype diversity, leading to substantial correlations of SNPs with many of their neighbours. We show how the HapMap resource can guide the design and analysis of genetic association studies, shed light on structural variation and recombination, and identify loci that may have been subject to natural selection during human evolution.
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        THE GENETICAL STRUCTURE OF POPULATIONS

         Sewall Wright (1949)
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          Genome-wide association studies for common diseases and complex traits.

          Genetic factors strongly affect susceptibility to common diseases and also influence disease-related quantitative traits. Identifying the relevant genes has been difficult, in part because each causal gene only makes a small contribution to overall heritability. Genetic association studies offer a potentially powerful approach for mapping causal genes with modest effects, but are limited because only a small number of genes can be studied at a time. Genome-wide association studies will soon become possible, and could open new frontiers in our understanding and treatment of disease. However, the execution and analysis of such studies will require great care.
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            Author and article information

            Journal
            Nature Genetics
            Nat Genet
            Springer Science and Business Media LLC
            1061-4036
            1546-1718
            August 2006
            July 23 2006
            August 2006
            : 38
            : 8
            : 904-909
            10.1038/ng1847
            © 2006

            http://www.springer.com/tdm

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