人口分层
单核苷酸多态性
基因分型
遗传关联
人口
基因型
联想(心理学)
选择(遗传算法)
生物
医学
遗传学
心理学
环境卫生
计算机科学
基因
人工智能
心理治疗师
作者
Atefeh Namipashaki,Zahra Razaghi‐Moghadam,Naser Ansari‐Pour
出处
期刊:DOAJ: Directory of Open Access Journals - DOAJ
日期:2015-01-01
卷期号:17 (2): 187-92
被引量:81
标识
DOI:10.22074/cellj.2016.3711
摘要
Population-based genetic association studies have proven to be a powerful tool in identifying genes implicated in many complex human diseases that have a huge impact on public health. An essential quality control step in such studies is to undertake Hardy-Weinberg equilibrium (HWE) calculations. Deviations from HWE in the control group may reflect important problems including selection bias, population stratification and genotyping errors. If HWE is violated, the inferences of these studies may thus be biased. We therefore aimed to examine the extent to which HWE calculations are reported in genetic association studies published in Cell Journal(Yakhteh)(Cell J). Using keywords pertaining to genetic association studies, eleven relevant articles were identified of which ten provided full genotypic data. The genotype distribution of 16 single nucleotide polymorphisms (SNPs) was re-analyzed for HWE by using three different methods where appropriate. HWE was not reported in 60% of all articles investigated. Among those reporting, only one article provided calculations correctly and in detail. Therefore, 90% of articles analyzed failed to provide sufficient HWE data. Interestingly, three articles had significant HWE deviation in their control groups of which one highly deviated from HWE expectations (P= 9.8×10(-12)). We thus show that HWE calculations are under-reported in genetic association studies published in this journal. Furthermore, the conclusions of the three studies showing significant HWE in their control groups should be treated cautiously as they may be potentially misleading. We therefore recommend that reporting of detailed HWE calculations should become mandatory for such studies in the future.
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