Human Reproduction, Vol. 17, No. 6, 1415-1423,
June 2002
© 2002 European Society of Human Reproduction and Embryology
What makes a good casecontrol study?
Design issues for complex traits such as endometriosis
1 Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 6BN and 2 Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford OX3 9DU, UK
The combined investigation of environmental and genetic risk-factors in complex traits will refocus attention on the casecontrol study. Endometriosis is an example of a complex trait for which most casecontrol studies have not followed the basic criteria of epidemiological study design. Appropriate control selection has been a particular problem. This article reviews the principles underlying the design of casecontrol studies, and their application to the study of endometriosis. Only if it is designed well is the casecontrol study a suitable alternative to the prospective cohort study. Use of newly diagnosed over prevalent cases is preferable, as the latter may alter risk estimates and complicate the interpretation of findings. Controls should be selected from the source population from which cases arose. Potential confounding should be addressed both in studies of environmental and genetic factors. For endometriosis, a possible design would be to: (i) use newly diagnosed cases with `endometriotic' disease; (ii) collect information predating symptom onset; and (iii) use at least one population-based female control group matched on unadjustable confounders and screened for pelvic symptoms. In conclusion, future studies of complex traits such as endometriosis will have to incorporate both environmental and genetic factors. Only adequately designed studies will allow reliable results to be obtained and any true aetiologic heterogeneity expected to underlie a complex trait to be detected.
Key words: case/control study/complex trait/endometriosis/risk-factor/study design
3 To whom correspondence should be addressed. E-mail: krina.zondervan{at}well.ox.ac.uk
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