Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data.
Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data.
复制标题
从全基因组关联研究数据中推断出风险因素与结果之间的因果关系。
DOI：
10.1146/annurev-genom-083117-021731
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发表时间：
2018-08-31
影响因子：
8.7
通讯作者：
Zuber V
中科院分区：
文献类型：
--
作者：
Burgess S;Foley CN;Zuber V
An observational correlation between a suspected risk factor and an outcome does not necessarily imply that interventions on levels of the risk factor will have a causal impact on the outcome (correlation is not causation). If genetic variants associated with the risk factor are also associated with the outcome, then this increases the plausibility that the risk factor is a causal determinant of the outcome. However, if the genetic variants in the analysis do not have a specific biological link to the risk factor, then causal claims can be spurious. We review the Mendelian randomization paradigm for making causal inferences using genetic variants. We consider monogenic analysis, in which genetic variants are taken from a single gene region, and polygenic analysis, which includes variants from multiple regions. We focus on answering two questions: When can Mendelian randomization be used to make reliable causal inferences, and when can it be used to make relevant causal inferences?
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影响因子：
2
作者：
Bowden J;Del Greco M F;Minelli C;Davey Smith G;Sheehan N;Thompson J
通讯作者：
Thompson J
影响因子：
7.7
作者：
Bowden J;Del Greco M F;Minelli C;Davey Smith G;Sheehan NA;Thompson JR
通讯作者：
Thompson JR
影响因子：
2.1
作者：
Bowden J;Davey Smith G;Haycock PC;Burgess S
通讯作者：
Burgess S
影响因子：
30.8
作者：
Bulik-Sullivan, Brendan K.;Loh, Po-Ru;Finucane, Hilary K.;Ripke, Stephan;Yang, Jian;Patterson, Nick;Daly, Mark J.;Price, Alkes L.;Neale, Benjamin M.
通讯作者：
Neale, Benjamin M.
DOI：
10.1097/ede.0000000000000559
发表时间：
2017-01
期刊：
Epidemiology (Cambridge, Mass.)
影响因子：
--
作者：
Burgess S;Bowden J;Fall T;Ingelsson E;Thompson SG
通讯作者：
Thompson SG