Confounding in Epidemiological Studies on Assessment of the Impact of Genetic Factors on Disease Risk: The Problem of Redundant Adjustment-Reference-Cited by-同舟云学术

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Confounding in Epidemiological Studies on Assessment of the Impact of Genetic Factors on Disease Risk: The Problem of Redundant Adjustment

Published:2024 Issue: Volume: Page:
ISSN:0917-5040
Container-title:Journal of Epidemiology
language:en
Short-container-title:Journal of Epidemiology

Author:

Kasugai Yumiko¹^ORCID,Oze Isao¹^ORCID,Koyanagi Yuriko N.¹^ORCID,Taniyama Yukari²,Ito Hidemi²³^ORCID,Imoto Issei⁴,Matsuo Keitaro¹⁵^ORCID

Affiliation:

1. Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute

2. Division of Cancer Information and Control, Aichi Cancer Center Research Institute

3. Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine

4. Aichi Cancer Center Research Institute

5. Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine

Publisher

Japan Epidemiological Association

Link

https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20230277/_pdf

Reference9 articles.

1. 1. Suzuki E, Shinozaki T, Yamamoto E. Causal diagrams: pitfalls and tips. J Epidemiol. 2020;30:153–162.

2. 2. Lash TL, VanderWeele TJ, Haneuse S, Rothman KJ. Modern epidemiology. 4th ed ed. Wolters Kluwer; 2021.

3. 3. VanderWeele TJ. Principles of confounder selection. Eur J Epidemiol. 2019;34:211–219.

4. 4. Davey Smith G, Hemani G. Mendelian randomization: genetic anchors for causal inference in epidemiological studies. Hum Mol Genet. 2014;23:R89–R98.

5. 5. Kasugai Y, Kohmoto T, Taniyama Y, et al. Association between germline pathogenic variants and breast cancer risk in Japanese women: the HERPACC study. Cancer Sci. 2022;113:1451–1462.

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