Ancestry estimation and correction for population stratification in molecular epidemiologic association studies
Cancer Epidemiology Biomarkers and Prevention, ISSN: 1055-9965, Vol: 17, Issue: 3, Page: 471-477
2008
- 57Citations
- 67Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations57
- Citation Indexes57
- 57
- CrossRef53
- Captures67
- Readers67
- 67
Review Description
Explanations for observed differences within and between populations in disease incidence and outcome are an important area of research. To maximize the potential for epidemiologic association studies to identify meaningful, reproducible genetic associations in large studies of common diseases, it is imperative that careful consideration be given to population stratification. In some situations, self-reported race/ethnicity may be sufficient to alleviate concerns about bias due to population stratification. However, in many situations, genotype-based estimates of group and/or individual ancestry using AIMs may be required to properly account for ancestry, admixture, and bias due to population stratification in association studies. Copyright © 2008 American Association for Cancer Research.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=41549136385&origin=inward; http://dx.doi.org/10.1158/1055-9965.epi-07-0491; http://www.ncbi.nlm.nih.gov/pubmed/18349264; http://cebp.aacrjournals.org/cgi/doi/10.1158/1055-9965.EPI-07-0491; https://syndication.highwire.org/content/doi/10.1158/1055-9965.EPI-07-0491; https://aacrjournals.org/cebp/article/17/3/471/11018/Ancestry-Estimation-and-Correction-for-Population; https://dx.doi.org/10.1158/1055-9965.epi-07-0491; https://cebp.aacrjournals.org/content/17/3/471
American Association for Cancer Research (AACR)
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