Patsopoulos Nikolaos A, Tatsioni Athina, Ioannidis John P A
Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Greece.
JAMA. 2007 Aug 22;298(8):880-93. doi: 10.1001/jama.298.8.880.
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.
To evaluate whether prominently claimed sex differences for genetic effects have sufficient internal and external validity.
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.
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.
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.
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.
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.
许多研究试图探究男性和女性在风险方面的差异,这是不断扩展的关于基因变异与常见疾病或性状之间关联的文献中的一项重大挑战。
评估关于基因效应的显著性别差异是否具有足够的内部和外部效度。
我们检索了截至2007年7月6日的PubMed,查找在文章标题中声称存在性别相关差异的基因关联研究。对标题、摘要以及必要时的文章全文进行合格性评估。
通过检索共获取215篇文章。我们认为所有检索到的声称针对任何人类疾病或表型的1种或多种基因变异在不同性别间存在不同基因效应的关联研究均合格。我们考虑了双等位基因和多等位基因标记(包括单倍型)以及二元和连续型表型及性状。我们排除了非英语研究;仅评估一个性别的研究;将性别仅作为疾病独立预测因素的研究;未涉及所研究基因变异与疾病或性状任何关联的研究;不涉及人类的研究;以及作者未声称存在任何性别差异的研究。
两名评估人员独立提取数据,由第三名评估人员仲裁他们的差异。数据评估包括分析是否被说明是预先设定的;性别效应是在整个研究还是其亚组中进行评估;以及这些声称是否有适当记录、记录不足或虚假。对于有适当记录和记录不足的声称,只要有原始数据,我们就进行基因 - 性别相互作用的计算。最后,我们将性别差异声称与具有最佳内部效度的其他研究针对相同相互作用的结果进行比较。
我们评估了77篇合格文章中的432个性别差异声称。作者表示,286个声称(66.2%)的性别比较是预先确定的,而210个声称(48.6%)使用了整个样本量。55个声称(12.7%)记录了基因 - 性别相互作用的适当文档;303个声称的文档不足,另外74个声称是虚假的。可用于重新分析声称的数据有188个比较。其中,83个(44.1%)在P = 0.05阈值下名义上具有统计学显著性,其中一半以上(n = 44)的P值在0.01至0.05之间。在60个看似具有最佳内部效度的声称中,只有1个在至少另外2项研究中得到了一致重复。
在这个关于基因关联中性别相关差异的高度显著声称的样本中,大多数声称记录不足或虚假,具有良好内部和外部效度记录的声称并不常见。