{"id":18846,"date":"2011-12-09T04:43:54","date_gmt":"2011-12-09T04:43:54","guid":{"rendered":"http:\/\/www.mixedracestudies.org\/wordpress\/?p=18846"},"modified":"2013-05-27T20:37:55","modified_gmt":"2013-05-27T20:37:55","slug":"examining-population-stratification-via-individual-ancestry-estimates-versus-self-reported-race","status":"publish","type":"post","link":"https:\/\/mixedracestudies.org\/wp\/?p=18846","title":{"rendered":"Examining Population Stratification via Individual Ancestry Estimates versus Self-Reported Race"},"content":{"rendered":"

Examining Population Stratification via Individual Ancestry Estimates versus Self-Reported Race<\/a><\/em><\/strong><\/p>\n

Cancer Epidemiology, Biomarkers & Prevention<\/a>
\nVolume 14, Issue 6<\/a> (June 2005)
\npages 1545-1551
\nDOI: 10.1158\/1055-9965.EPI-04-0832<\/a><\/p>\n

Jill S. Barnholtz-Sloan<\/strong>
\nCancer Prevention and Control Program
\nH. Lee Moffitt Cancer Center and Research Institute<\/em><\/p>\n

Ranajit Chakraborty<\/strong>
\nCenter for Genome Research, Department of Environmental Health
\nUniversity of Cincinnati, Cincinnati, Ohio<\/em><\/p>\n

Thomas A. Sellers
\n<\/strong>Cancer Prevention and Control Program
\nH. Lee Moffitt Cancer Center and Research Institute<\/em><\/p>\n

Ann G. Schwartz<\/strong>
\nPopulation Studies and Prevention Program, Karmanos Cancer Institute and Department of Internal Medicine
\nWayne State University School of Medicine, Detroit, Michigan<\/em><\/p>\n

Population stratification<\/a> has the potential to affect the results of genetic marker studies. Estimating individual ancestry provides a continuous measure to assess population structure in case-control studies of complex disease, instead of using self-reported racial groups. We estimate individual ancestry using the Federal Bureau of Investigation CODIS<\/a> Core short tandem repeat set of 13 loci using two different analysis methods in a case-control study of early-onset lung cancer. Individual ancestry proportions were estimated for \u201cEuropean\u201d and \u201cWest African\u201d groups using published allele frequencies. The majority of Caucasian, non-Hispanics had >50% European ancestry, whereas the majority of African Americans had <20% European ancestry, regardless of ancestry estimation method, although significant overlap by self-reported race and ancestry also existed. When we further investigated the effect of ancestry and self-reported race on the frequency of a lung cancer risk genotype, we found that the frequency of the GSTM1 null genotype varies by individual European ancestry and case-control status within self-reported race (particularly for African Americans). Genetic risk models showed that adjusting for individual European ancestry provided a better fit to the data compared with the model with no group adjustment or adjustment for self-reported race. This study suggests that significant population substructure differences exist that self-reported race alone does not capture and that individual ancestry may be confounded with disease status and\/or a candidate gene risk genotype.<\/strong><\/p>\n

Read the entire article here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Examining Population Stratification via Individual Ancestry Estimates versus Self-Reported Race Cancer Epidemiology, Biomarkers & Prevention Volume 14, Issue 6 (June 2005) pages 1545-1551 DOI: 10.1158\/1055-9965.EPI-04-0832 Jill S. Barnholtz-Sloan Cancer Prevention and Control Program H. Lee Moffitt Cancer Center and Research Institute Ranajit Chakraborty Center for Genome Research, Department of Environmental Health University of Cincinnati, Cincinnati, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12,2039,14646,8],"tags":[8631,8634,8620,8632,8629,4469,8630,8633],"class_list":["post-18846","post","type-post","status-publish","format-standard","hentry","category-articles","category-health-medicine","category-latino","category-media-archive","tag-ann-g-schwartz","tag-ann-schwartz","tag-cancer-epidemiology-biomarkers-prevention","tag-jill-barnholtz-sloan","tag-jill-s-barnholtz-sloan","tag-ranajit-chakraborty","tag-thomas-a-sellers","tag-thomas-sellers"],"_links":{"self":[{"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=\/wp\/v2\/posts\/18846","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=18846"}],"version-history":[{"count":0,"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=\/wp\/v2\/posts\/18846\/revisions"}],"wp:attachment":[{"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18846"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18846"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mixedracestudies.org\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18846"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}