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

Jean-Baptiste Pingault, Rebecca Richmond*, George Davey Smith

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

15 Citations (Scopus)
89 Downloads (Pure)

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.

Original languageEnglish
JournalCold Spring Harbor Perspectives in Medicine
Early online date27 Sept 2021
DOIs
Publication statusE-pub ahead of print - 27 Sept 2021

Bibliographical note

Copyright © 2021 Cold Spring Harbor Laboratory Press; all rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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