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本文引用的文献

1
What should the genome-wide significance threshold be? Empirical replication of borderline genetic associations.全基因组显著阈值应为多少？边缘遗传关联的实证复制。
Int J Epidemiol. 2012 Feb;41(1):273-86. doi: 10.1093/ije/dyr178. Epub 2011 Dec 5.
2
Estimation of effect size distribution from genome-wide association studies and implications for future discoveries.从全基因组关联研究中估计效应大小分布及其对未来发现的影响。
Nat Genet. 2010 Jul;42(7):570-5. doi: 10.1038/ng.610. Epub 2010 Jun 20.
3
Bayes factors for genome-wide association studies: comparison with P-values.全基因组关联研究的贝叶斯因子：与P值的比较。
Genet Epidemiol. 2009 Jan;33(1):79-86. doi: 10.1002/gepi.20359.
4
A Bayesian measure of the probability of false discovery in genetic epidemiology studies.遗传流行病学研究中错误发现概率的贝叶斯度量。
Am J Hum Genet. 2007 Aug;81(2):208-27. doi: 10.1086/519024. Epub 2007 Jul 3.
5
Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.评估阳性报告为假的概率：分子流行病学研究方法
J Natl Cancer Inst. 2004 Mar 17;96(6):434-42. doi: 10.1093/jnci/djh075.
6
Toward evidence-based medical statistics. 2: The Bayes factor.迈向循证医学统计学。2：贝叶斯因子。
Ann Intern Med. 1999 Jun 15;130(12):1005-13. doi: 10.7326/0003-4819-130-12-199906150-00019.

Commentary: Genome-wide significance thresholds via Bayes factors.

作者信息

Wakefield Jon

机构信息

Department of Statistics, University of Washington, Seattle, WA 98195-7232, USA.

出版信息

Int J Epidemiol. 2012 Feb;41(1):286-91. doi: 10.1093/ije/dyr241. Epub 2012 Feb 15.

DOI:10.1093/ije/dyr241
PMID:22345299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3304534/
Abstract
摘要