CONTEXT: Many studies try to probe for differences in risks between men and women, and this is a major challenge in the expanding literature of associations between genetic variants and common diseases or traits. OBJECTIVE: To evaluate whether prominently claimed sex differences for genetic effects have sufficient internal and external validity. DATA SOURCES: We searched PubMed through July 6, 2007, for genetic association studies claiming sex-related differences in the articles' titles. Titles and abstracts and, if necessary, the full text of the article were assessed for eligibility. STUDY SELECTION: Two hundred fifteen articles were retrieved by the search. We considered eligible all retrieved association studies that claimed different genetic effects across sexes of 1 or more gene variants for any human disease or phenotype. We considered both biallelic and multiallelic markers (including haplotypes) and both binary and continuous phenotypes and traits. We excluded non-English-language studies; studies evaluating only 1 sex; studies in which sex was treated only as an independent predictor of disease; studies that did not address any association of the investigated genetic variant with a disease or trait; studies not involving humans; and studies in which the authors did not claim any sex difference. DATA EXTRACTION: Two evaluators independently extracted data with a third evaluator arbitrating their discrepancies. Data evaluation included whether analyses were stated to have been specified a priori; whether sex effects were evaluated in the whole study or subgroups thereof; and whether the claims were appropriately documented, insufficiently documented, or spurious. For appropriately and insufficiently documented claims we performed the calculations for gene-sex interaction whenever raw data were available. Finally, we compared the sex-difference claims with the best internal validity against the results of other studies addressing the same interaction. RESULTS: We appraised 432 sex-difference claims in 77 eligible articles. Authors stated that sex comparisons were decided a priori for 286 claims (66.2%), while the entire sample size was used in 210 (48.6%) claims. Appropriate documentation of gene-sex interaction was recorded in 55 claims (12.7%); documentation was insufficient for 303 claims and spurious for the other 74. Data for reanalysis of claims were available for 188 comparisons. Of these, 83 (44.1%) were nominally statistically significant at a P = .05 threshold, and more than half of them (n = 44) had modest P values between .01 and .05. Of 60 claims with seemingly the best internal validity, only 1 was consistently replicated in at least 2 other studies. CONCLUSION: In this sample of highly prominent claims of sex-related differences in genetic associations, most claims were insufficiently documented or spurious, and claims with documented good internal and external validity were uncommon.
CONTEXT: Many studies try to probe for differences in risks between men and women, and this is a major challenge in the expanding literature of associations between genetic variants and common diseases or traits. OBJECTIVE: To evaluate whether prominently claimed sex differences for genetic effects have sufficient internal and external validity. DATA SOURCES: We searched PubMed through July 6, 2007, for genetic association studies claiming sex-related differences in the articles' titles. Titles and abstracts and, if necessary, the full text of the article were assessed for eligibility. STUDY SELECTION: Two hundred fifteen articles were retrieved by the search. We considered eligible all retrieved association studies that claimed different genetic effects across sexes of 1 or more gene variants for any human disease or phenotype. We considered both biallelic and multiallelic markers (including haplotypes) and both binary and continuous phenotypes and traits. We excluded non-English-language studies; studies evaluating only 1 sex; studies in which sex was treated only as an independent predictor of disease; studies that did not address any association of the investigated genetic variant with a disease or trait; studies not involving humans; and studies in which the authors did not claim any sex difference. DATA EXTRACTION: Two evaluators independently extracted data with a third evaluator arbitrating their discrepancies. Data evaluation included whether analyses were stated to have been specified a priori; whether sex effects were evaluated in the whole study or subgroups thereof; and whether the claims were appropriately documented, insufficiently documented, or spurious. For appropriately and insufficiently documented claims we performed the calculations for gene-sex interaction whenever raw data were available. Finally, we compared the sex-difference claims with the best internal validity against the results of other studies addressing the same interaction. RESULTS: We appraised 432 sex-difference claims in 77 eligible articles. Authors stated that sex comparisons were decided a priori for 286 claims (66.2%), while the entire sample size was used in 210 (48.6%) claims. Appropriate documentation of gene-sex interaction was recorded in 55 claims (12.7%); documentation was insufficient for 303 claims and spurious for the other 74. Data for reanalysis of claims were available for 188 comparisons. Of these, 83 (44.1%) were nominally statistically significant at a P = .05 threshold, and more than half of them (n = 44) had modest P values between .01 and .05. Of 60 claims with seemingly the best internal validity, only 1 was consistently replicated in at least 2 other studies. CONCLUSION: In this sample of highly prominent claims of sex-related differences in genetic associations, most claims were insufficiently documented or spurious, and claims with documented good internal and external validity were uncommon.
Authors: Chen Yao; Roby Joehanes; Andrew D Johnson; Tianxiao Huan; Tõnu Esko; Saixia Ying; Jane E Freedman; Joanne Murabito; Kathryn L Lunetta; Andres Metspalu; Peter J Munson; Daniel Levy Journal: Hum Mol Genet Date: 2013-11-15 Impact factor: 6.150
Authors: Roy H Perlis; Jie Huang; Shaun Purcell; Maurizio Fava; A John Rush; Patrick F Sullivan; Steven P Hamilton; Francis J McMahon; Thomas G Schulze; Thomas Schulze; James B Potash; Peter P Zandi; Virginia L Willour; Brenda W Penninx; Dorret I Boomsma; Nicole Vogelzangs; Christel M Middeldorp; Marcella Rietschel; Markus Nöthen; Sven Cichon; Hugh Gurling; Nick Bass; Andrew McQuillin; Marian Hamshere; Nick Craddock; Pamela Sklar; Jordan W Smoller Journal: Am J Psychiatry Date: 2010-11-01 Impact factor: 18.112
Authors: Steve Geoffrion; Jane Goncalves; André Marchand; Richard Boyer; Alain Marchand; Marc Corbière; Stéphane Guay Journal: Ann Work Expo Health Date: 2018-04-18 Impact factor: 2.179
Authors: M Carolina Pardo Silva; Omer T Njajou; Behrooz Z Alizadeh; Albert Hofman; Jacqueline C M Witteman; Cornelia M van Duijn; A Cecile J W Janssens Journal: Eur J Epidemiol Date: 2010-07-18 Impact factor: 8.082