Exploring pleiotropy in Mendelian randomisation analyses: What are genetic variants associated with ‘cigarette smoking initiation’ really capturing?

IF 1.7 4区 医学 Q3 GENETICS & HEREDITY
Zoe E. Reed, Robyn E. Wootton, Jasmine N. Khouja, Tom G. Richardson, Eleanor Sanderson, George Davey Smith, Marcus R. Munafò
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Abstract

Genetic variants used as instruments for exposures in Mendelian randomisation (MR) analyses may have horizontal pleiotropic effects (i.e., influence outcomes via pathways other than through the exposure), which can undermine the validity of results. We examined the extent of this using smoking behaviours as an example. We first ran a phenome-wide association study in UK Biobank, using a smoking initiation genetic instrument. From the most strongly associated phenotypes, we selected those we considered could either plausibly or not plausibly be caused by smoking. We examined associations between genetic instruments for smoking initiation, smoking heaviness and lifetime smoking and these phenotypes in UK Biobank and the Avon Longitudinal Study of Parents and Children (ALSPAC). We conducted negative control analyses among never smokers, including children. We found evidence that smoking-related genetic instruments were associated with phenotypes not plausibly caused by smoking in UK Biobank and (to a lesser extent) ALSPAC. We observed associations with phenotypes among never smokers. Our results demonstrate that smoking-related genetic risk scores are associated with unexpected phenotypes that are less plausibly downstream of smoking. This may reflect horizontal pleiotropy in these genetic risk scores, and we would encourage researchers to exercise caution this when using these and genetic risk scores for other complex behavioural exposures. We outline approaches that could be taken to consider this and overcome issues caused by potential horizontal pleiotropy, for example, in genetically informed causal inference analyses (e.g., MR) it is important to consider negative control outcomes and triangulation approaches, to avoid arriving at incorrect conclusions.

Abstract Image

探索孟德尔随机分析中的多义性:与 "开始吸烟 "相关的基因变异到底在捕捉什么?
在孟德尔随机化(MR)分析中,作为暴露工具的基因变异可能会产生水平多向效应(即通过暴露以外的途径影响结果),这可能会损害结果的有效性。我们以吸烟行为为例,研究了这种影响的程度。我们首先在英国生物库中使用吸烟起始基因工具进行了全表型关联研究。从关联性最强的表型中,我们选择了那些我们认为可能由吸烟引起或不可能由吸烟引起的表型。我们研究了英国生物数据库和雅芳父母与子女纵向研究(ALSPAC)中吸烟起始、吸烟量和终生吸烟的基因工具与这些表型之间的关联。我们对包括儿童在内的从不吸烟者进行了阴性对照分析。我们发现有证据表明,在英国生物数据库和(在较小程度上)ALSPAC 中,与吸烟相关的遗传工具与非由吸烟引起的表型相关。我们观察到从未吸烟者的表型与吸烟相关。我们的研究结果表明,与吸烟相关的遗传风险评分与意外的表型相关,而这些表型不太可能是吸烟的下游因素。这可能反映了这些遗传风险评分的横向多效性,我们鼓励研究人员在将这些评分和遗传风险评分用于其他复杂的行为暴露时谨慎行事。我们概述了可以采取哪些方法来考虑这一点并克服潜在的横向褶积性所造成的问题,例如,在遗传信息因果推断分析(如 MR)中,必须考虑负对照结果和三角测量方法,以避免得出不正确的结论。
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来源期刊
Genetic Epidemiology
Genetic Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.40
自引率
9.50%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations. Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.
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