Polygenic scores for low lung function and the future risk of adverse health outcomes

Abstract Aims Reduced lung function and adverse health outcomes are often observed. This study characterizes genetic susceptibility for reduced lung function and risk of developing a range of adverse health outcomes. Methods We studied 27,438 middle-aged adults from the Malmö Diet and Cancer study (...

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Main Authors: Suneela Zaigham, Isabel Gonçalves, Regeneron Genetics Center, Gunnar Engström, Jiangming Sun
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Cardiovascular Diabetology
Subjects:
Online Access:https://doi.org/10.1186/s12933-022-01661-y
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author Suneela Zaigham
Isabel Gonçalves
Regeneron Genetics Center
Gunnar Engström
Jiangming Sun
author_facet Suneela Zaigham
Isabel Gonçalves
Regeneron Genetics Center
Gunnar Engström
Jiangming Sun
author_sort Suneela Zaigham
collection DOAJ
description Abstract Aims Reduced lung function and adverse health outcomes are often observed. This study characterizes genetic susceptibility for reduced lung function and risk of developing a range of adverse health outcomes. Methods We studied 27,438 middle-aged adults from the Malmö Diet and Cancer study (MDCS), followed up to 28.8 years. Trait-specific Polygenic scores (PGS) for forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) were constructed for each participant using MDCS genetic data and summary statistics from the latest GWAS of lung function. Linear regression models and cox proportional hazards regression models were used to assess associations between adverse health outcomes and lung function-PGS. Results FEV1-PGS and FVC-PGS were significantly associated with mean sBP at baseline after adjustments (FEV1-PGS Q1 (highest PGS = highest lung function): 140.7mmHg vs. Q4: 141.5mmHg, p-value 0.008). A low FVC-PGS was significantly associated with the risk of future diabetic events after adjustments (Q4 vs. Q1 HR: 1.22 (CI 1.12–1.32), p-trend < 0.001) and had added value to risk prediction models for diabetes. Low FEV1-PGS was significantly associated with future coronary events (Q4 vs. Q1 HR: 1.13 (CI: 1.04–1.22), p-trend 0.008). No significant association was found between PGS and sudden cardiac death, chronic kidney disease or all-cause mortality. Results remained largely unchanged in a subgroup of subjects when further adjusted for apolipoproteins. Conclusion Genetic susceptibility for reduced lung function is associated with higher sBP, increased risk of diabetes and to a lesser extent, future coronary events, suggesting etiological roles of lung function on these outcomes. Using PGS, high-risk groups could be early detected to implement early lifestyle changes to mitigate the risk.
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spelling doaj.art-2f6e74984382411f8cb80ac633e8aa1f2022-12-22T04:38:22ZengBMCCardiovascular Diabetology1475-28402022-11-0121111010.1186/s12933-022-01661-yPolygenic scores for low lung function and the future risk of adverse health outcomesSuneela Zaigham0Isabel Gonçalves1Regeneron Genetics Center2Gunnar Engström3Jiangming Sun4Department of Clinical Sciences Malmö, Lund UniversityDepartment of Clinical Sciences Malmö, Lund UniversityRegeneron Genetics CenterDepartment of Clinical Sciences Malmö, Lund UniversityDepartment of Clinical Sciences Malmö, Lund UniversityAbstract Aims Reduced lung function and adverse health outcomes are often observed. This study characterizes genetic susceptibility for reduced lung function and risk of developing a range of adverse health outcomes. Methods We studied 27,438 middle-aged adults from the Malmö Diet and Cancer study (MDCS), followed up to 28.8 years. Trait-specific Polygenic scores (PGS) for forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) were constructed for each participant using MDCS genetic data and summary statistics from the latest GWAS of lung function. Linear regression models and cox proportional hazards regression models were used to assess associations between adverse health outcomes and lung function-PGS. Results FEV1-PGS and FVC-PGS were significantly associated with mean sBP at baseline after adjustments (FEV1-PGS Q1 (highest PGS = highest lung function): 140.7mmHg vs. Q4: 141.5mmHg, p-value 0.008). A low FVC-PGS was significantly associated with the risk of future diabetic events after adjustments (Q4 vs. Q1 HR: 1.22 (CI 1.12–1.32), p-trend < 0.001) and had added value to risk prediction models for diabetes. Low FEV1-PGS was significantly associated with future coronary events (Q4 vs. Q1 HR: 1.13 (CI: 1.04–1.22), p-trend 0.008). No significant association was found between PGS and sudden cardiac death, chronic kidney disease or all-cause mortality. Results remained largely unchanged in a subgroup of subjects when further adjusted for apolipoproteins. Conclusion Genetic susceptibility for reduced lung function is associated with higher sBP, increased risk of diabetes and to a lesser extent, future coronary events, suggesting etiological roles of lung function on these outcomes. Using PGS, high-risk groups could be early detected to implement early lifestyle changes to mitigate the risk.https://doi.org/10.1186/s12933-022-01661-yGenetic risk scoreLung functionDiabetesRisk prediction
spellingShingle Suneela Zaigham
Isabel Gonçalves
Regeneron Genetics Center
Gunnar Engström
Jiangming Sun
Polygenic scores for low lung function and the future risk of adverse health outcomes
Cardiovascular Diabetology
Genetic risk score
Lung function
Diabetes
Risk prediction
title Polygenic scores for low lung function and the future risk of adverse health outcomes
title_full Polygenic scores for low lung function and the future risk of adverse health outcomes
title_fullStr Polygenic scores for low lung function and the future risk of adverse health outcomes
title_full_unstemmed Polygenic scores for low lung function and the future risk of adverse health outcomes
title_short Polygenic scores for low lung function and the future risk of adverse health outcomes
title_sort polygenic scores for low lung function and the future risk of adverse health outcomes
topic Genetic risk score
Lung function
Diabetes
Risk prediction
url https://doi.org/10.1186/s12933-022-01661-y
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