Literature DB >> 16365026

Data-dredging gene-dose analyses in association studies: biases and their corrections.

Wen-Chung Lee1, Hsiao-Yuan Huang.   

Abstract

To examine the joint effect of multiple loci on disease risk, many case-control association studies used "gene-dose analyses." However, some researchers defined high-risk genotypes (or alleles) as those that have higher genotypic (allelic) frequencies in the case group compared with the control group in the study. This will lead to the total number of the "high-risk" genotypes (alleles) tending to be higher for the cases than for the controls as well, even if none of the studied loci were related to the disease. Monte-Carlo simulations done in this study showed that such a "data-dredging" gene-dose analysis could produce grossly biased results. A permutation correction method was proposed which could correct the biases very effectively.

Mesh:

Year:  2005        PMID: 16365026     DOI: 10.1158/1055-9965.EPI-05-0605

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  3 in total

1.  Replication and cumulative effects of GWAS-identified genetic variations for prostate cancer in Asians: a case-control study in the ChinaPCa consortium.

Authors:  Meilin Wang; Fang Liu; Ann W Hsing; Xiang Wang; Qiang Shao; Jun Qi; Yu Ye; Zhong Wang; Hongyan Chen; Xin Gao; Guozeng Wang; Lisa W Chu; Qiang Ding; Jun OuYang; Xu Gao; Yichen Huang; Yanbo Chen; Yu-Tang Gao; Zuo-Feng Zhang; Jiangyu Rao; Rong Shi; Qijun Wu; Yuanyuan Zhang; Haowen Jiang; Jie Zheng; Yanlin Hu; Ling Guo; Xiaoling Lin; Sha Tao; Guangfu Jin; Jielin Sun; Daru Lu; S Lilly Zheng; Yinghao Sun; Zengnan Mo; Changjun Yin; Zhengdong Zhang; Jianfeng Xu
Journal:  Carcinogenesis       Date:  2011-11-23       Impact factor: 4.944

2.  Genetic variation in B-cell-activating factor is associated with an increased risk of developing B-cell non-Hodgkin lymphoma.

Authors:  Anne J Novak; Susan L Slager; Zachary S Fredericksen; Alice H Wang; Michelle M Manske; Steven Ziesmer; Mark Liebow; William R Macon; Stacey R Dillon; Thomas E Witzig; James R Cerhan; Stephen M Ansell
Journal:  Cancer Res       Date:  2009-04-21       Impact factor: 12.701

3.  A proposal for assessing study quality: Biomonitoring, Environmental Epidemiology, and Short-lived Chemicals (BEES-C) instrument.

Authors:  Judy S LaKind; Jon R Sobus; Michael Goodman; Dana Boyd Barr; Peter Fürst; Richard J Albertini; Tye E Arbuckle; Greet Schoeters; Yu-Mei Tan; Justin Teeguarden; Rogelio Tornero-Velez; Clifford P Weisel
Journal:  Environ Int       Date:  2014-08-17       Impact factor: 9.621

  3 in total

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