Bias in the case-only design applied to studies of gene-environment and gene-gene interaction: a systematic review and meta-analysis

被引:26
作者
Dennis, Jessica [1 ,2 ]
Hawken, Steven [1 ]
Krewski, Daniel [1 ,2 ]
Birkett, Nick [1 ,2 ]
Gheorghe, Mihaela [1 ]
Frei, Julia [1 ]
McKeown-Eyssen, Gail [3 ,4 ]
Little, Julian [1 ,2 ]
机构
[1] Univ Ottawa, Dept Epidemiol & Community Med, Ottawa, ON K1H 8M5, Canada
[2] Univ Ottawa, McLaughlin Ctr Populat Hlth Risk Assessment, Ottawa, ON K1H 8M5, Canada
[3] Univ Toronto, Dept Nutr Sci, Toronto, ON, Canada
[4] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
关键词
Systematic review; meta-analysis; bias (epidemiology); case-only design; genes; environment; interaction; HARDY-WEINBERG EQUILIBRIUM; SAMPLE-SIZE REQUIREMENTS; GENOME-WIDE ASSOCIATION; BREAST-CANCER; ODDS RATIO; RISK; POLYMORPHISMS; POPULATION; SMOKING; GENOTYPE;
D O I
10.1093/ije/dyr088
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Methods The MEDLINE, CINAHL, EMBASE and PUBMED databases were searched through to 7 October 2009. Studies that assessed bias in the case-only design applied to the study of gene-environment and gene-gene interaction were identified. Qualitative comments on the sources and extent of bias were extracted. A meta-regression analysis of the ratio (IORCC/IORCO) of the case-control (IORCC) and case-only (IORCO) interaction odds ratios was conducted based on studies in which both methods were applied to the same data set. Results The search yielded 365 unique articles of which 38 met the inclusion criteria. Potential sources of bias in the case-only design included non-independence of genotype and exposure in the source population. Meta-regression analysis, based on 24 evaluations, produced a mean IORCC/IORCO of 1.06 [95% confidence interval (95% CI) 0.93-1.22], suggesting that bias in case-only designs is not common in practice. The I-2 statistic indicated that 23.9% (95% uncertainty interval 0-53.9%) of the observed variation was due to heterogeneity between studies, which was not explained by any methodological characteristics of the included studies. Conclusion As understanding of the relationships between genes and environmental exposures in the population improves, the case-only design may prove to be of considerable value.
引用
收藏
页码:1329 / 1341
页数:13
相关论文
共 67 条
[1]   Limitations of the case-only design for identifying gene-environment interactions [J].
Albert, PS ;
Ratnasinghe, D ;
Tangrea, J ;
Wacholder, S .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2001, 154 (08) :687-693
[2]  
[Anonymous], CASE ONLY GENE MAPPI
[3]  
[Anonymous], 10 YEARS PUBL HLTH G
[4]  
[Anonymous], GENE CHARACTERIZATIO
[5]  
Bai Y, 2001, GENET EPIDEMIOL, V21, pS825
[6]   Reproductive factors and familial predisposition for breast cancer by age 50 years. A case-control-family study for assessing main effects and possible gene-environment interaction [J].
Becher, H ;
Schmidt, S ;
Chang-Claude, J .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2003, 32 (01) :38-48
[7]   Commentary: Facing the challenge of gene-environment interaction: The two-by-four table and beyond [J].
Botto, LD ;
Khoury, MJ .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2001, 153 (10) :1016-1020
[8]   Size matters: just how big is BIG? Quantifying realistic sample size requirements for human genome epidemiology [J].
Burton, Paul R. ;
Hansell, Anna L. ;
Fortier, Isabel ;
Manolio, Teri A. ;
Khoury, Muin J. ;
Little, Julian ;
Elliott, Paul .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2009, 38 (01) :263-273
[9]   Association Between p53 codon 72 Genetic Polymorphism and Tobacco Use and Lung Cancer Risk [J].
Caceres, Dante D. ;
Quinones, Luis A. ;
Schroeder, Jane C. ;
Gil, Leonel D. ;
Irarrazabal, Carlos E. .
LUNG, 2009, 187 (02) :110-115
[10]   Relationship among metabolizing genes, smoking and alcohol used as modifier factors on prostate cancer risk:: Exploring some gene-gene and gene-environment interactions [J].
Cáceres, DD ;
Iturrieta, J ;
Acevedo, C ;
Huidobro, C ;
Varela, N ;
Quiñones, L .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2005, 20 (01) :79-88