@article{1c98d0517be947cc8dd68d02b3acb0ed,
title = "A randomization test for controlling population stratification in whole-genome association studies",
abstract = "Population stratification can be a serious obstacle in the analysis of genomewide association studies.We propose a method for evaluating the significance of association scores in whole-genome cohorts with stratification. Our approach is a randomization test akin to a standard permutation test. It conditions on the genotype matrix and thus takes into account not only the population structure but also the complex linkage disequilibrium structure of the genome. As we show in simulation experiments, our method achieves higher power and significantly better control over false-positive rates than do existing methods. In addition, it can be easily applied to whole-genome association studies.",
author = "Gad Kimmel and Jordan, {Michael I.} and Eran Halperin and Ron Shamir and Karp, {Richard M.}",
note = "Funding Information: G.K. was supported by a Rothschild Fellowship. G.K., E.H., and R.M.K. were supported by National Science Foundation (NSF) grant IIS-0513599. R.S. was supported by Israel Science Foundation grant 309/02. M.J. was supported by National Institutes of Health grant R33 HG003070 and NSF grant 0412995. ",
year = "2007",
doi = "10.1086/521372",
language = "אנגלית",
volume = "81",
pages = "895--905",
journal = "American Journal of Human Genetics",
issn = "0002-9297",
publisher = "Cell Press",
number = "5",
}