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Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis
Leveraging genome-wide association statistics generated from a large study of amyotrophic lateral sclerosis (ALS; 29,612 cases and 122,656 controls) and UK Biobank (UKB; 4,024 phenotypes, up to 361,194 participants), we conducted a phenome-wide analysis of ALS genetic liability and identified 46 gen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449723/ https://www.ncbi.nlm.nih.gov/pubmed/36773064 http://dx.doi.org/10.1007/s00439-023-02525-5 |
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author | D’Antona, Salvatore Pathak, Gita A. Koller, Dora Porro, Danilo Cava, Claudia Polimanti, Renato |
author_facet | D’Antona, Salvatore Pathak, Gita A. Koller, Dora Porro, Danilo Cava, Claudia Polimanti, Renato |
author_sort | D’Antona, Salvatore |
collection | PubMed |
description | Leveraging genome-wide association statistics generated from a large study of amyotrophic lateral sclerosis (ALS; 29,612 cases and 122,656 controls) and UK Biobank (UKB; 4,024 phenotypes, up to 361,194 participants), we conducted a phenome-wide analysis of ALS genetic liability and identified 46 genetically correlated traits, such as fluid intelligence score (r(g) = − 0.21, p = 1.74 × 10(–6)), "spending time in pub or social club” (r(g) = 0.24, p = 2.77 × 10(–6)), non-work related walking (r(g) = − 0.25, p = 1.95 × 10(–6)), college education (r(g) = − 0.15, p = 7.08 × 10(–5)), “ever diagnosed with panic attacks (r(g) = 0.39, p = 4.24 × 10(–5)), and “self-reported other gastritis including duodenitis” (r(g) = 0.28, p = 1.4 × 10(–3)). To assess the putative directionality of these genetic correlations, we conducted a latent causal variable analysis, identifying significant genetic causality proportions (gĉp) linking ALS genetic liability to seven traits. While the genetic component of “self-reported other gastritis including duodenitis" showed a causal effect on ALS (gĉp = 0.50, p = 1.26 × 10(–29)), the genetic liability to ALS is potentially causal for multiple traits, also including an effect on "ever being diagnosed with panic attacks” (gĉp = 0.79, p = 5.011 × 10(–15)) and inverse effects on “other leisure/social group activities” (gĉp = 0.66, p = 1 × 10(–4)) and prospective memory result (gĉp = 0.35, p = 0.005). Our subsequent Mendelian randomization analysis indicated that some of these associations may be due to bidirectional effects. In conclusion, this phenome-wide investigation of ALS polygenic architecture highlights the widespread pleiotropy linking this disorder with several health domains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00439-023-02525-5. |
format | Online Article Text |
id | pubmed-10449723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-104497232023-08-26 Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis D’Antona, Salvatore Pathak, Gita A. Koller, Dora Porro, Danilo Cava, Claudia Polimanti, Renato Hum Genet Original Investigation Leveraging genome-wide association statistics generated from a large study of amyotrophic lateral sclerosis (ALS; 29,612 cases and 122,656 controls) and UK Biobank (UKB; 4,024 phenotypes, up to 361,194 participants), we conducted a phenome-wide analysis of ALS genetic liability and identified 46 genetically correlated traits, such as fluid intelligence score (r(g) = − 0.21, p = 1.74 × 10(–6)), "spending time in pub or social club” (r(g) = 0.24, p = 2.77 × 10(–6)), non-work related walking (r(g) = − 0.25, p = 1.95 × 10(–6)), college education (r(g) = − 0.15, p = 7.08 × 10(–5)), “ever diagnosed with panic attacks (r(g) = 0.39, p = 4.24 × 10(–5)), and “self-reported other gastritis including duodenitis” (r(g) = 0.28, p = 1.4 × 10(–3)). To assess the putative directionality of these genetic correlations, we conducted a latent causal variable analysis, identifying significant genetic causality proportions (gĉp) linking ALS genetic liability to seven traits. While the genetic component of “self-reported other gastritis including duodenitis" showed a causal effect on ALS (gĉp = 0.50, p = 1.26 × 10(–29)), the genetic liability to ALS is potentially causal for multiple traits, also including an effect on "ever being diagnosed with panic attacks” (gĉp = 0.79, p = 5.011 × 10(–15)) and inverse effects on “other leisure/social group activities” (gĉp = 0.66, p = 1 × 10(–4)) and prospective memory result (gĉp = 0.35, p = 0.005). Our subsequent Mendelian randomization analysis indicated that some of these associations may be due to bidirectional effects. In conclusion, this phenome-wide investigation of ALS polygenic architecture highlights the widespread pleiotropy linking this disorder with several health domains. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00439-023-02525-5. Springer Berlin Heidelberg 2023-02-11 2023 /pmc/articles/PMC10449723/ /pubmed/36773064 http://dx.doi.org/10.1007/s00439-023-02525-5 Text en © The Author(s) 2023 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/) . |
spellingShingle | Original Investigation D’Antona, Salvatore Pathak, Gita A. Koller, Dora Porro, Danilo Cava, Claudia Polimanti, Renato Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis |
title | Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis |
title_full | Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis |
title_fullStr | Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis |
title_full_unstemmed | Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis |
title_short | Phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis |
title_sort | phenome-wide genetic-correlation analysis and genetically informed causal inference of amyotrophic lateral sclerosis |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449723/ https://www.ncbi.nlm.nih.gov/pubmed/36773064 http://dx.doi.org/10.1007/s00439-023-02525-5 |
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