Genomic control for association studies.
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...5, similar to the genomic control approach [37]....
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Cites background from "Genomic control for association stu..."
...If e([1]) is the principal eigenvector of the matrix X, this means that the sum of squares...
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...The second eigenvector e([2]) maximizes the same expression with the constraint that e([1]), e([2]) are orthogonal, and so on....
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...Are the individuals from a homogeneous population or from a population containing subgroups that are genetically distinct? Can we find evidence for substructure in the data, and quantify it? This question of detecting and quantifying structure arises in medical genetics, for instance, in case-control studies where uncorrected population structure can induce false positives [1]....
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References
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"Genomic control for association stu..." refers background in this paper
...Determining if is 1 or 0 is a binary Bayesian hypothesis testing problem ( Berger 1985 )....
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...Several conditions must be met: (a) the loci under study must not have very different mutation rates (Chakraborty and Jin, 1992); (b) they cannot be under strong and subpopulation-specific selection (Crow and Kimura, 1970); and (c) with respect to population substructure, F should not vary greatly across loci....
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