A polygenic risk score predicts mosaic loss of chromosome Y in circulating blood cells.

ASPREE LOY Mosaic loss of chromosome Y PRS Polygenic risk score mLOY

Journal

Cell & bioscience
ISSN: 2045-3701
Titre abrégé: Cell Biosci
Pays: England
ID NLM: 101561195

Informations de publication

Date de publication:
12 Dec 2021
Historique:
received: 16 09 2021
accepted: 19 11 2021
entrez: 13 12 2021
pubmed: 14 12 2021
medline: 14 12 2021
Statut: epublish

Résumé

Mosaic loss of Y chromosome (LOY) is the most common somatic change that occurs in circulating white blood cells of older men. LOY in leukocytes is associated with increased risk for all-cause mortality and a range of common disease such as hematological and non-hematological cancer, Alzheimer's disease, and cardiovascular events. Recent genome-wide association studies identified up to 156 germline variants associated with risk of LOY. The objective of this study was to use these variants to calculate a novel polygenic risk score (PRS) for LOY, and to assess the predictive performance of this score in a large independent population of older men. We calculated a PRS for LOY in 5131 men aged 70 years and older. Levels of LOY were estimated using microarrays and validated by whole genome sequencing. After adjusting for covariates, the PRS was a significant predictor of LOY (odds ratio [OR] = 1.74 per standard deviation of the PRS, 95% confidence intervals [CI] 1.62-1.86, p < 0.001). Men in the highest quintile of the PRS distribution had > fivefold higher risk of LOY than the lowest (OR = 5.05, 95% CI 4.05-6.32, p < 0.001). Adding the PRS to a LOY prediction model comprised of age, smoking and alcohol consumption significantly improved prediction (AUC = 0.628 [CI 0.61-0.64] to 0.695 [CI 0.67-0.71], p < 0.001). Our results suggest that a PRS for LOY could become a useful tool for risk prediction and targeted intervention for common disease in men.

Sections du résumé

BACKGROUND BACKGROUND
Mosaic loss of Y chromosome (LOY) is the most common somatic change that occurs in circulating white blood cells of older men. LOY in leukocytes is associated with increased risk for all-cause mortality and a range of common disease such as hematological and non-hematological cancer, Alzheimer's disease, and cardiovascular events. Recent genome-wide association studies identified up to 156 germline variants associated with risk of LOY. The objective of this study was to use these variants to calculate a novel polygenic risk score (PRS) for LOY, and to assess the predictive performance of this score in a large independent population of older men.
RESULTS RESULTS
We calculated a PRS for LOY in 5131 men aged 70 years and older. Levels of LOY were estimated using microarrays and validated by whole genome sequencing. After adjusting for covariates, the PRS was a significant predictor of LOY (odds ratio [OR] = 1.74 per standard deviation of the PRS, 95% confidence intervals [CI] 1.62-1.86, p < 0.001). Men in the highest quintile of the PRS distribution had > fivefold higher risk of LOY than the lowest (OR = 5.05, 95% CI 4.05-6.32, p < 0.001). Adding the PRS to a LOY prediction model comprised of age, smoking and alcohol consumption significantly improved prediction (AUC = 0.628 [CI 0.61-0.64] to 0.695 [CI 0.67-0.71], p < 0.001).
CONCLUSIONS CONCLUSIONS
Our results suggest that a PRS for LOY could become a useful tool for risk prediction and targeted intervention for common disease in men.

Identifiants

pubmed: 34895331
doi: 10.1186/s13578-021-00716-z
pii: 10.1186/s13578-021-00716-z
pmc: PMC8667399
doi:

Types de publication

Journal Article

Langues

eng

Pagination

205

Informations de copyright

© 2021. The Author(s).

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Auteurs

Moeen Riaz (M)

Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

Jonas Mattisson (J)

Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Galina Polekhina (G)

Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

Andrew Bakshi (A)

Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

Jonatan Halvardson (J)

Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Marcus Danielsson (M)

Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

Adam Ameur (A)

Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

John McNeil (J)

Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

Lars A Forsberg (LA)

Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. lars.forsberg@igp.uu.se.
The Beijer Laboratory, Uppsala University, Uppsala, Sweden. lars.forsberg@igp.uu.se.

Paul Lacaze (P)

Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. paul.lacaze@monash.edu.

Classifications MeSH