Literature DB >> 17712072

Claims of sex differences: an empirical assessment in genetic associations.

Nikolaos A Patsopoulos1, Athina Tatsioni, John P A Ioannidis.   

Abstract

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.

Entities:  

Mesh:

Year:  2007        PMID: 17712072     DOI: 10.1001/jama.298.8.880

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  59 in total

1.  Association of PDE4B polymorphisms and schizophrenia in Northwestern Han Chinese.

Authors:  Fanglin Guan; Chen Zhang; Shuguang Wei; Hongbo Zhang; Xiaomin Gong; Jiali Feng; Chengge Gao; Rong Su; Huanming Yang; Shengbin Li
Journal:  Hum Genet       Date:  2011-12-11       Impact factor: 4.132

2.  Genetic and environmental influences on disordered gambling in men and women.

Authors:  Wendy S Slutske; Gu Zhu; Madeline H Meier; Nicholas G Martin
Journal:  Arch Gen Psychiatry       Date:  2010-06

3.  Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations.

Authors:  Chirag J Patel; Belinda Burford; John P A Ioannidis
Journal:  J Clin Epidemiol       Date:  2015-06-06       Impact factor: 6.437

4.  Required sample size and nonreplicability thresholds for heterogeneous genetic associations.

Authors:  Ramal Moonesinghe; Muin J Khoury; Tiebin Liu; John P A Ioannidis
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-03       Impact factor: 11.205

Review 5.  Genome-wide association studies in the genetics of asthma.

Authors:  Saffron A G Willis-Owen; William O Cookson; Miriam F Moffatt
Journal:  Curr Allergy Asthma Rep       Date:  2009-01       Impact factor: 4.806

6.  Sex- and age-interacting eQTLs in human complex diseases.

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

7.  Genome-wide association study of suicide attempts in mood disorder patients.

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

8.  Post-traumatic Reactions and Their Predictors among Workers Who Experienced Serious Violent Acts: Are There Sex Differences?

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

Review 9.  Gene-environment studies and borderline personality disorder: a review.

Authors:  Ryan W Carpenter; Rachel L Tomko; Timothy J Trull; Dorret I Boomsma
Journal:  Curr Psychiatry Rep       Date:  2013-01       Impact factor: 5.285

10.  HFE gene mutations increase the risk of coronary heart disease in women.

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.