Literature DB >> 27171145

Correction: G = E: What GWAS Can Tell Us about the Environment.

Suzanne H Gage, George Davey Smith, Jennifer J Ware, Jonathan Flint, Marcus R Munafò.   

Abstract

[This corrects the article DOI: 10.1371/journal.pgen.1005765.].

Entities:  

Year:  2016        PMID: 27171145      PMCID: PMC4865220          DOI: 10.1371/journal.pgen.1006065

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


There is an error in Fig 2. The correlation coefficient in panel a should be negative. The authors have provided a corrected figure and legend here.
Fig 2

Illustration of Collider Bias.

Panel a shows the basic premise of collider bias. In this example, a bell is sounded whenever either coin come up ‘heads’. The result of one coin toss is independent of the other. However, if we stratify on the bell ringing, seeing ‘heads’ on both coins is not independent and a spurious inverse correlation induced. Panel b shows this with the example of stratifying on smoking status. If the variant used as an instrument for heaviness of smoking is also associated with smoking status (i.e., ever vs never smoker), and if BMI also influences smoking status, then there is a risk of collider bias if we stratify on smoking status. Panel c shows an example where stratification will not introduce collider bias, as sex is not an effect of either possession of a genetic variant that predicts alcohol consumption, or of blood pressure.

Illustration of Collider Bias.

Panel a shows the basic premise of collider bias. In this example, a bell is sounded whenever either coin come up ‘heads’. The result of one coin toss is independent of the other. However, if we stratify on the bell ringing, seeing ‘heads’ on both coins is not independent and a spurious inverse correlation induced. Panel b shows this with the example of stratifying on smoking status. If the variant used as an instrument for heaviness of smoking is also associated with smoking status (i.e., ever vs never smoker), and if BMI also influences smoking status, then there is a risk of collider bias if we stratify on smoking status. Panel c shows an example where stratification will not introduce collider bias, as sex is not an effect of either possession of a genetic variant that predicts alcohol consumption, or of blood pressure.
  1 in total

1.  G = E: What GWAS Can Tell Us about the Environment.

Authors:  Suzanne H Gage; George Davey Smith; Jennifer J Ware; Jonathan Flint; Marcus R Munafò
Journal:  PLoS Genet       Date:  2016-02-11       Impact factor: 5.917

  1 in total
  4 in total

1.  Design and methodology challenges of environment-wide association studies: A systematic review.

Authors:  Yi Zheng; Zhaoyi Chen; Thomas Pearson; Jinying Zhao; Hui Hu; Mattia Prosperi
Journal:  Environ Res       Date:  2020-02-19       Impact factor: 6.498

2.  Investigating causality in associations between smoking initiation and schizophrenia using Mendelian randomization.

Authors:  Suzanne H Gage; Hannah J Jones; Amy E Taylor; Stephen Burgess; Stanley Zammit; Marcus R Munafò
Journal:  Sci Rep       Date:  2017-01-19       Impact factor: 4.379

3.  Association of the NCAN-TM6SF2-CILP2-PBX4-SUGP1-MAU2 SNPs and gene-gene and gene-environment interactions with serum lipid levels.

Authors:  Guo-Xiong Deng; Rui-Xing Yin; Yao-Zong Guan; Chun-Xiao Liu; Peng-Fei Zheng; Bi-Liu Wei; Jin-Zhen Wu; Liu Miao
Journal:  Aging (Albany NY)       Date:  2020-06-22       Impact factor: 5.682

4.  The MC4R SNPs, their haplotypes and gene-environment interactions on the risk of obesity.

Authors:  Bi-Liu Wei; Rui-Xing Yin; Chun-Xiao Liu; Guo-Xiong Deng; Yao-Zong Guan; Peng-Fei Zheng
Journal:  Mol Med       Date:  2020-08-08       Impact factor: 6.354

  4 in total

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