Reducing population stratification bias: stratum matching is better than exposure.

Abstract:

OBJECTIVE:Genetic studies of complex human diseases rely heavily on the epidemiologic association paradigm, particularly the population-based case-control designs. This study aims to compare the matching effectiveness in terms of bias reduction between exposure matching and stratum matching. STUDY DESIGN AND SETTING:Formulas for population stratification bias were derived. An index of matching effectiveness was constructed to compare the two types of matching. RESULTS:It was found that exposure matching can paradoxically increase the magnitude of population stratification bias sometimes, whereas stratum matching can guarantee to reduce it. CONCLUSION:The authors propose two simple rules for genetic association studies: (a) to match on anything that helps to delineate population strata such as race, ethnicity, nationality, ancestry, and birthplace and (b) to match on an exposure only when it is a strong predictor of the disease and is expected to have great variation in prevalence across population strata.

journal_name

J Clin Epidemiol

authors

Lee WC,Wang LY

doi

10.1016/j.jclinepi.2008.02.016

subject

Has Abstract

pub_date

2009-01-01 00:00:00

pages

62-6

issue

1

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(08)00088-7

journal_volume

62

pub_type

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