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PMID: 16895437 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Family-based versus unrelated case-control designs for genetic associations.

PLoS genetics ·Vol. 2 ·No. 8 ·2006-08-00 ·Pages e123

Evangelou E, Trikalinos TA, Salanti G, Ioannidis JP

Abstract

The most simple and commonly used approach for genetic associations is the case-control study design of unrelated people. This design is susceptible to population stratification. This problem is obviated in family-based studies, but it is usually difficult to accumulate large enough samples of well-characterized families. We addressed empirically whether the two designs give similar estimates of association in 93 investigations where both unrelated case-control and family-based designs had been employed. Estimated odds ratios differed beyond chance between the two designs in only four instances (4%). The summary relative odds ratio (ROR) (the ratio of odds ratios obtained from unrelated case-control and family-based studies) was close to unity (0.96 [95% confidence interval, 0.91-1.01]). There was no heterogeneity in the ROR across studies (amount of heterogeneity beyond chance I(2) = 0%). Differences on whether results were nominally statistically significant (p < 0.05) or not with the two designs were common (opposite classification rates 14% and 17%); this reflected largely differences in power. Conclusions were largely similar in diverse subgroup analyses. Unrelated case-control and family-based designs give overall similar estimates of association. We cannot rule out rare large biases or common small biases.

MeSH Terms
Case-Control Studies Confidence Intervals Family Genetic Predisposition to Disease Genetics, Population Humans Pedigree Research Design
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Evangelou Evangelos
Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Trikalinos Thomas A
Salanti Georgia
Ioannidis John P A
Conflict of Interest

Competing interests. The authors have declared that no competing interests exist.

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Article Info
Journal
PLoS genetics
Abbr.
PLoS Genet
ISSN
1553-7404
Published
2006-08-00
Epub
2006-00-26
Pages
e123
Language
English
Region
United States
NLM ID
101239074
PMCID
PMC1534078
Subset
IM
Analysis Services
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