Literature DB >> 22345299

Commentary: Genome-wide significance thresholds via Bayes factors.

Jon Wakefield1.   

Abstract

Mesh：

Year:  2012        PMID： 22345299      PMCID： PMC3304534          DOI： 10.1093/ije/dyr241

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN： 0300-5771            Impact factor:   7.196


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  6 in total

1.  Toward evidence-based medical statistics. 2: The Bayes factor.

Authors:  S N Goodman
Journal:  Ann Intern Med       Date:  1999-06-15       Impact factor: 25.391

2.  Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.

Authors:  Sholom Wacholder; Stephen Chanock; Montserrat Garcia-Closas; Laure El Ghormli; Nathaniel Rothman
Journal:  J Natl Cancer Inst       Date:  2004-03-17       Impact factor: 13.506

3.  What should the genome-wide significance threshold be? Empirical replication of borderline genetic associations.

Authors:  Orestis A Panagiotou; John P A Ioannidis
Journal:  Int J Epidemiol       Date:  2011-12-05       Impact factor: 7.196

4.  A Bayesian measure of the probability of false discovery in genetic epidemiology studies.

Authors:  Jon Wakefield
Journal:  Am J Hum Genet       Date:  2007-07-03       Impact factor: 11.025

5.  Bayes factors for genome-wide association studies: comparison with P-values.

Authors:  Jon Wakefield
Journal:  Genet Epidemiol       Date:  2009-01       Impact factor: 2.135

6.  Estimation of effect size distribution from genome-wide association studies and implications for future discoveries.

Authors:  Ju-Hyun Park; Sholom Wacholder; Mitchell H Gail; Ulrike Peters; Kevin B Jacobs; Stephen J Chanock; Nilanjan Chatterjee
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330
  6 in total
  8 in total

1.  Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.

Authors:  Carolyn M Hutter; Leah E Mechanic; Nilanjan Chatterjee; Peter Kraft; Elizabeth M Gillanders
Journal:  Genet Epidemiol       Date:  2013-10-05       Impact factor: 2.135

2.  A genome-wide investigation into parent-of-origin effects in autism spectrum disorder identifies previously associated genes including SHANK3.

Authors:  Siobhan Connolly; Richard Anney; Louise Gallagher; Elizabeth A Heron
Journal:  Eur J Hum Genet       Date:  2016-11-23       Impact factor: 4.246

3.  Bayesian Polynomial Regression Models to Fit Multiple Genetic Models for Quantitative Traits.

Authors:  Harold Bae; Thomas Perls; Martin Steinberg; Paola Sebastiani
Journal:  Bayesian Anal       Date:  2015-03       Impact factor: 3.728

4.  Detecting signals in pharmacogenomic genome-wide association studies.

Authors:  J Wakefield; V Skrivankova; F-C Hsu; M Sale; P Heagerty
Journal:  Pharmacogenomics J       Date:  2014-01-07       Impact factor: 3.550

5.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

6.  Leveraging prior information to detect causal variants via multi-variant regression.

Authors:  Nanye Long; Samuel P Dickson; Jessica M Maia; Hee Shin Kim; Qianqian Zhu; Andrew S Allen
Journal:  PLoS Comput Biol       Date:  2013-06-06       Impact factor: 4.475

7.  The Use of Multiplicity Corrections, Order Statistics and Generalized Family-Wise Statistics with Application to Genome-Wide Studies.

Authors:  Steven J Schrodi
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

8.  GWAS by GBLUP: Single and Multimarker EMMAX and Bayes Factors, with an Example in Detection of a Major Gene for Horse Gait.

Authors:  Andres Legarra; Anne Ricard; Luis Varona
Journal:  G3 (Bethesda)       Date:  2018-07-02       Impact factor: 3.154
  8 in total

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