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Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data

Ophthalmic epidemiology is concerned with the prevalence, distribution and other factors relating to human eye disease. While observational studies cannot avoid confounding factors from interventions, human eye composition and structure are unique, thus, eye disease pathogenesis, which greatly impai...

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Autores principales: Li, Jiaxin, Li, Cong, Huang, Yu, Guan, Peng, Huang, Desheng, Yu, Honghua, Yang, Xiaohong, Liu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793675/
https://www.ncbi.nlm.nih.gov/pubmed/36572895
http://dx.doi.org/10.1186/s12967-022-03822-9
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author Li, Jiaxin
Li, Cong
Huang, Yu
Guan, Peng
Huang, Desheng
Yu, Honghua
Yang, Xiaohong
Liu, Lei
author_facet Li, Jiaxin
Li, Cong
Huang, Yu
Guan, Peng
Huang, Desheng
Yu, Honghua
Yang, Xiaohong
Liu, Lei
author_sort Li, Jiaxin
collection PubMed
description Ophthalmic epidemiology is concerned with the prevalence, distribution and other factors relating to human eye disease. While observational studies cannot avoid confounding factors from interventions, human eye composition and structure are unique, thus, eye disease pathogenesis, which greatly impairs quality of life and visual health, remains to be fully explored. Notwithstanding, inheritance has had a vital role in ophthalmic disease. Mendelian randomization (MR) is an emerging method that uses genetic variations as instrumental variables (IVs) to avoid confounders and reverse causality issues; it reveals causal relationships between exposure and a range of eyes disorders. Thus far, many MR studies have identified potentially causal associations between lifestyles or biological exposures and eye diseases, thus providing opportunities for further mechanistic research, and interventional development. However, MR results/data must be interpreted based on comprehensive evidence, whereas MR applications in ophthalmic epidemiology have some limitations worth exploring. Here, we review key principles, assumptions and MR methods, summarise contemporary evidence from MR studies on eye disease and provide new ideas uncovering aetiology in ophthalmology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03822-9.
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spelling pubmed-97936752022-12-28 Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data Li, Jiaxin Li, Cong Huang, Yu Guan, Peng Huang, Desheng Yu, Honghua Yang, Xiaohong Liu, Lei J Transl Med Review Ophthalmic epidemiology is concerned with the prevalence, distribution and other factors relating to human eye disease. While observational studies cannot avoid confounding factors from interventions, human eye composition and structure are unique, thus, eye disease pathogenesis, which greatly impairs quality of life and visual health, remains to be fully explored. Notwithstanding, inheritance has had a vital role in ophthalmic disease. Mendelian randomization (MR) is an emerging method that uses genetic variations as instrumental variables (IVs) to avoid confounders and reverse causality issues; it reveals causal relationships between exposure and a range of eyes disorders. Thus far, many MR studies have identified potentially causal associations between lifestyles or biological exposures and eye diseases, thus providing opportunities for further mechanistic research, and interventional development. However, MR results/data must be interpreted based on comprehensive evidence, whereas MR applications in ophthalmic epidemiology have some limitations worth exploring. Here, we review key principles, assumptions and MR methods, summarise contemporary evidence from MR studies on eye disease and provide new ideas uncovering aetiology in ophthalmology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03822-9. BioMed Central 2022-12-26 /pmc/articles/PMC9793675/ /pubmed/36572895 http://dx.doi.org/10.1186/s12967-022-03822-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Li, Jiaxin
Li, Cong
Huang, Yu
Guan, Peng
Huang, Desheng
Yu, Honghua
Yang, Xiaohong
Liu, Lei
Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
title Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
title_full Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
title_fullStr Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
title_full_unstemmed Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
title_short Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
title_sort mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793675/
https://www.ncbi.nlm.nih.gov/pubmed/36572895
http://dx.doi.org/10.1186/s12967-022-03822-9
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