Causal Inference with Genetic Data: Past, Present, and Future

Cold Spring Harbor Perspectives in Medicine ◽

10.1101/cshperspect.a041271 ◽

2021 ◽

pp. a041271

Author(s):

Jean-Baptiste Pingault ◽

Rebecca Richmond ◽

George Davey Smith

Keyword(s):

Causal Inference ◽

Genetic Data

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Using genetic data to strengthen causal inference in observational research

Nature Reviews Genetics ◽

10.1038/s41576-018-0020-3 ◽

2018 ◽

Vol 19 (9) ◽

pp. 566-580 ◽

Cited By ~ 100

Author(s):

Jean-Baptiste Pingault ◽

Paul F. O’Reilly ◽

Tabea Schoeler ◽

George B. Ploubidis ◽

Frühling Rijsdijk ◽

...

Keyword(s):

Causal Inference ◽

Genetic Data ◽

Observational Research

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Are blood lipids risk factors for fracture? Integrative evidence from instrumental variable causal inference and mediation analysis using genetic data

Bone ◽

10.1016/j.bone.2019.115174 ◽

2020 ◽

Vol 131 ◽

pp. 115174 ◽

Cited By ~ 1

Author(s):

Haimiao Chen ◽

Zhonghe Shao ◽

Yixin Gao ◽

Xinghao Yu ◽

Shuiping Huang ◽

...

Keyword(s):

Risk Factors ◽

Causal Inference ◽

Mediation Analysis ◽

Instrumental Variable ◽

Blood Lipids ◽

Genetic Data

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Commentary: Mendelian randomization-inspired causal inference in the absence of genetic data

International Journal of Epidemiology ◽

10.1093/ije/dyw327 ◽

2016 ◽

pp. dyw327 ◽

Cited By ~ 2

Author(s):

Luisa Zuccolo ◽

Michael V. Holmes

Keyword(s):

Causal Inference ◽

Mendelian Randomization ◽

Genetic Data

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Beyond metaphors and semantics: A framework for causal inference in neuroscience

Behavioral and Brain Sciences ◽

10.1017/s0140525x19001389 ◽

2019 ◽

Vol 42 ◽

Author(s):

Roberto A. Gulli

Keyword(s):

Causal Inference ◽

Causal Power

Abstract The long-enduring coding metaphor is deemed problematic because it imbues correlational evidence with causal power. In neuroscience, most research is correlational or conditionally correlational; this research, in aggregate, informs causal inference. Rather than prescribing semantics used in correlational studies, it would be useful for neuroscientists to focus on a constructive syntax to guide principled causal inference.

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