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

Pingault, J-B; Richmond, R; Davey Smith, G; (2021) Causal Inference with Genetic Data: Past, Present, and Future. Cold Spring Harbor Perspectives in Medicine 10.1101/cshperspect.a041271. (In press). Green open access

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Abstract

The set of methods discussed in this collection has emerged from the convergence of two scientific fields-genetics and causal inference. In this introduction, we discuss relevant aspects of each field and show how their convergence arises from the natural experiments that genetics offer. We present introductory concepts useful to readers unfamiliar with genetically informed methods for causal inference. We conclude that existing applications and foreseeable developments should ensure that we rapidly reap the rewards of this relatively new field, not only in terms of our understanding of human disease and development, but also in terms of tangible translational applications.

Type: Article
Title: Causal Inference with Genetic Data: Past, Present, and Future
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1101/cshperspect.a041271
Publisher version: http://doi.org/10.1101/cshperspect.a041271
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
URI: https://discovery.ucl.ac.uk/id/eprint/10136246
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