Detecting association in a case-control study while correcting for population stratification
Case‐control studies are subject to the problem of population stratification, which can occur in ethnically mixed populations and can lead to significant associations being detected at loci that have nothing to do with disease. Here, we describe a way to measure and correct for stratification by gen...
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Veröffentlicht in: | Genetic epidemiology 2001-01, Vol.20 (1), p.4-16 |
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description | Case‐control studies are subject to the problem of population stratification, which can occur in ethnically mixed populations and can lead to significant associations being detected at loci that have nothing to do with disease. Here, we describe a way to measure and correct for stratification by genotyping a moderate number of unlinked genetic markers in the same set of cases and controls in which a candidate association was found. The average of association statistics across the markers directly measures stratification. By dividing the candidate association statistic by this average, a P‐value can be obtained that corrects for stratification. Genet. Epidemiol. 20:4–16, 2001. © 2001 Wiley‐Liss, Inc. |
doi_str_mv | 10.1002/1098-2272(200101)20:1<4::AID-GEPI2>3.0.CO;2-T |
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Epidemiol</addtitle><description>Case‐control studies are subject to the problem of population stratification, which can occur in ethnically mixed populations and can lead to significant associations being detected at loci that have nothing to do with disease. Here, we describe a way to measure and correct for stratification by genotyping a moderate number of unlinked genetic markers in the same set of cases and controls in which a candidate association was found. The average of association statistics across the markers directly measures stratification. By dividing the candidate association statistic by this average, a P‐value can be obtained that corrects for stratification. Genet. Epidemiol. 20:4–16, 2001. © 2001 Wiley‐Liss, Inc.</description><subject>association studies</subject><subject>Biological and medical sciences</subject><subject>Case-Control Studies</subject><subject>Chromosome Mapping - statistics & numerical data</subject><subject>Ethnic Groups - statistics & numerical data</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene Frequency</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Human</subject><subject>Humans</subject><subject>Linkage Disequilibrium</subject><subject>Models, Genetic</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Population genetics, reproduction patterns</subject><subject>population stratification</subject><subject>Selection Bias</subject><subject>SNPs</subject><subject>χ2 test</subject><issn>0741-0395</issn><issn>1098-2272</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkEFv0zAUxy0EYmXjK6BISGgcUmzHrpOCJk3p1hVtlEMRF6Qn17HBLI2LnWj02-MsUblwwJfnZ_3e308_hDjBU4IxfUdwkaeUCnpOMSaYvKV4Tj6w-fxytUiXV59X9CKb4mm5fk_TzRM0OfJP0QQLRlKcFfwEvQjhZ5wnrODP0QmJp6BFNkHfFrrVqrXN90SG4JSVrXVNYptEJkoGnSrXtN7VSWi76pA8_LC1TpTzfhwyzid7t-_qYS60Pl6MVY_tGXpmZB30y7Geoi_XV5vyJr1dL1fl5W2qWE5oWnCzxdjoihshuNF5xUhshKgKVSmKeaW4NJJuGZlpKWeSGq6E2mZMiZnmODtFb4bcvXe_Oh1a2NmgdF3LRrsugMBc8CLvwbsBVN6F4LWBvbc76Q9AMPS6odcHvT4YdMcCBBhA1A2PuiEDDOUaKGxi3qvx426709XftNFvBF6PgAxK1sbLRtlw5HLGOO-p9UA9RLuH_97pXysNDzExHRJtaPXvY6L09zATmeDw9dMSrj_elBldLKDI_gB407T1</recordid><startdate>200101</startdate><enddate>200101</enddate><creator>Reich, David E.</creator><creator>Goldstein, David B.</creator><general>John Wiley & Sons, Inc</general><general>Wiley-Liss</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>200101</creationdate><title>Detecting association in a case-control study while correcting for population stratification</title><author>Reich, David E. ; Goldstein, David B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4812-95fb00fed5f775fe8d41ed577d9cdc205dc5afa2b416eaa6a2f5c7cb34c76e503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>association studies</topic><topic>Biological and medical sciences</topic><topic>Case-Control Studies</topic><topic>Chromosome Mapping - statistics & numerical data</topic><topic>Ethnic Groups - statistics & numerical data</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene Frequency</topic><topic>Genetics of eukaryotes. Biological and molecular evolution</topic><topic>Human</topic><topic>Humans</topic><topic>Linkage Disequilibrium</topic><topic>Models, Genetic</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Population genetics, reproduction patterns</topic><topic>population stratification</topic><topic>Selection Bias</topic><topic>SNPs</topic><topic>χ2 test</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reich, David E.</creatorcontrib><creatorcontrib>Goldstein, David B.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Genetic epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reich, David E.</au><au>Goldstein, David B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting association in a case-control study while correcting for population stratification</atitle><jtitle>Genetic epidemiology</jtitle><addtitle>Genet. Epidemiol</addtitle><date>2001-01</date><risdate>2001</risdate><volume>20</volume><issue>1</issue><spage>4</spage><epage>16</epage><pages>4-16</pages><issn>0741-0395</issn><eissn>1098-2272</eissn><coden>GENYEX</coden><abstract>Case‐control studies are subject to the problem of population stratification, which can occur in ethnically mixed populations and can lead to significant associations being detected at loci that have nothing to do with disease. Here, we describe a way to measure and correct for stratification by genotyping a moderate number of unlinked genetic markers in the same set of cases and controls in which a candidate association was found. The average of association statistics across the markers directly measures stratification. By dividing the candidate association statistic by this average, a P‐value can be obtained that corrects for stratification. Genet. 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subjects | association studies Biological and medical sciences Case-Control Studies Chromosome Mapping - statistics & numerical data Ethnic Groups - statistics & numerical data Fundamental and applied biological sciences. Psychology Gene Frequency Genetics of eukaryotes. Biological and molecular evolution Human Humans Linkage Disequilibrium Models, Genetic Polymorphism, Single Nucleotide - genetics Population genetics, reproduction patterns population stratification Selection Bias SNPs χ2 test |
title | Detecting association in a case-control study while correcting for population stratification |
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