Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank

Abstract Background Both genetic and cardiovascular factors contribute to the risk of developing heart failure (HF), but whether idea cardiovascular health metrics (ICVHMs) offset the genetic association with incident HF remains unclear. Objectives To investigate the genetic association with inciden...

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Main Authors: Ruotong Yang, Jun Lv, Canqing Yu, Yu Guo, Pei Pei, Ninghao Huang, Ling Yang, Iona Y. Millwood, Robin G. Walters, Yiping Chen, Huaidong Du, Ran Tao, Junshi Chen, Zhengming Chen, Robert Clarke, Tao Huang, Liming Li, on behalf of the China Kadoorie Biobank Collaborative Group
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Medicine
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Online Access:https://doi.org/10.1186/s12916-021-02122-1
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author Ruotong Yang
Jun Lv
Canqing Yu
Yu Guo
Pei Pei
Ninghao Huang
Ling Yang
Iona Y. Millwood
Robin G. Walters
Yiping Chen
Huaidong Du
Ran Tao
Junshi Chen
Zhengming Chen
Robert Clarke
Tao Huang
Liming Li
on behalf of the China Kadoorie Biobank Collaborative Group
author_facet Ruotong Yang
Jun Lv
Canqing Yu
Yu Guo
Pei Pei
Ninghao Huang
Ling Yang
Iona Y. Millwood
Robin G. Walters
Yiping Chen
Huaidong Du
Ran Tao
Junshi Chen
Zhengming Chen
Robert Clarke
Tao Huang
Liming Li
on behalf of the China Kadoorie Biobank Collaborative Group
author_sort Ruotong Yang
collection DOAJ
description Abstract Background Both genetic and cardiovascular factors contribute to the risk of developing heart failure (HF), but whether idea cardiovascular health metrics (ICVHMs) offset the genetic association with incident HF remains unclear. Objectives To investigate the genetic association with incident HF as well as the modification effect of ICVHMs on such genetic association in Chinese and British populations. Methods An ICVHMs based on smoking, drinking, physical activity, diets, body mass index, waist circumference, blood pressure, blood glucose, and blood lipids, and a polygenic risk score (PRS) for HF were constructed in the China Kadoorie Biobank (CKB) of 96,014 participants and UK Biobank (UKB) of 335,782 participants which were free from HF and severe chronic diseases at baseline. Results During the median follow-up of 11.38 and 8.73 years, 1451 and 3169 incident HF events were documented in CKB and UKB, respectively. HF risk increased monotonically with the increase of PRS per standard deviation (CKB: hazard ratio [HR], 1.19; 95% confidence interval [CI], 1.07, 1.32; UKB: 1.07; 1.03, 1.11; P for trend < 0.001). Each point increase in ICVHMs was associated with 15% and 20% lower risk of incident HF in CKB (0.85; 0.81, 0.90) and UKB (0.80; 0.77, 0.82), respectively. Compared with unfavorable ICVHMs, favorable ICVHMs was associated with a lower HF risk, with 0.71 (0.44, 1.15), 0.41 (0.22, 0.77), and 0.48 (0.30, 0.77) in the low, intermediate, and high genetic risk in CKB and 0.34 (0.26, 0.44), 0.32 (0.25, 0.41), and 0.37 (0.28, 0.47) in UKB (P for multiplicative interaction > 0.05). Participants with low genetic risk and favorable ICVHMs, as compared with high genetic risk and unfavorable ICVHMs, had 56~72% lower risk of HF (CKB 0.44; 0.28, 0.70; UKB 0.28; 0.22, 0.37). No additive interaction between PRS and ICVHMs was observed (relative excess risk due to interaction was 0.05 [−0.22, 0.33] in CKB and 0.04 [−0.14, 0.22] in UKB). Conclusions In CKB and UKB, genetic risk and ICVHMs were independently associated with the risk of incident HF, which suggested that adherence to favorable cardiovascular health status was associated with a lower HF risk among participants with all gradients of genetic risk.
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spelling doaj.art-e26c921e9d774d60b566731ec0799b932022-12-21T23:10:05ZengBMCBMC Medicine1741-70152021-10-0119111210.1186/s12916-021-02122-1Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK BiobankRuotong Yang0Jun Lv1Canqing Yu2Yu Guo3Pei Pei4Ninghao Huang5Ling Yang6Iona Y. Millwood7Robin G. Walters8Yiping Chen9Huaidong Du10Ran Tao11Junshi Chen12Zhengming Chen13Robert Clarke14Tao Huang15Liming Li16on behalf of the China Kadoorie Biobank Collaborative GroupDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking UniversityDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking UniversityDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking UniversityChinese Academy of Medical SciencesChinese Academy of Medical SciencesDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking UniversityMedical Research Council Population Health Research Unit at the University of OxfordMedical Research Council Population Health Research Unit at the University of OxfordMedical Research Council Population Health Research Unit at the University of OxfordMedical Research Council Population Health Research Unit at the University of OxfordMedical Research Council Population Health Research Unit at the University of OxfordInstitute of Chronic Disease, Jiangsu Provincial Center for Disease Control and PreventionChina National Center for Food Safety Risk AssessmentClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of OxfordClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of OxfordDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking UniversityDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking UniversityAbstract Background Both genetic and cardiovascular factors contribute to the risk of developing heart failure (HF), but whether idea cardiovascular health metrics (ICVHMs) offset the genetic association with incident HF remains unclear. Objectives To investigate the genetic association with incident HF as well as the modification effect of ICVHMs on such genetic association in Chinese and British populations. Methods An ICVHMs based on smoking, drinking, physical activity, diets, body mass index, waist circumference, blood pressure, blood glucose, and blood lipids, and a polygenic risk score (PRS) for HF were constructed in the China Kadoorie Biobank (CKB) of 96,014 participants and UK Biobank (UKB) of 335,782 participants which were free from HF and severe chronic diseases at baseline. Results During the median follow-up of 11.38 and 8.73 years, 1451 and 3169 incident HF events were documented in CKB and UKB, respectively. HF risk increased monotonically with the increase of PRS per standard deviation (CKB: hazard ratio [HR], 1.19; 95% confidence interval [CI], 1.07, 1.32; UKB: 1.07; 1.03, 1.11; P for trend < 0.001). Each point increase in ICVHMs was associated with 15% and 20% lower risk of incident HF in CKB (0.85; 0.81, 0.90) and UKB (0.80; 0.77, 0.82), respectively. Compared with unfavorable ICVHMs, favorable ICVHMs was associated with a lower HF risk, with 0.71 (0.44, 1.15), 0.41 (0.22, 0.77), and 0.48 (0.30, 0.77) in the low, intermediate, and high genetic risk in CKB and 0.34 (0.26, 0.44), 0.32 (0.25, 0.41), and 0.37 (0.28, 0.47) in UKB (P for multiplicative interaction > 0.05). Participants with low genetic risk and favorable ICVHMs, as compared with high genetic risk and unfavorable ICVHMs, had 56~72% lower risk of HF (CKB 0.44; 0.28, 0.70; UKB 0.28; 0.22, 0.37). No additive interaction between PRS and ICVHMs was observed (relative excess risk due to interaction was 0.05 [−0.22, 0.33] in CKB and 0.04 [−0.14, 0.22] in UKB). Conclusions In CKB and UKB, genetic risk and ICVHMs were independently associated with the risk of incident HF, which suggested that adherence to favorable cardiovascular health status was associated with a lower HF risk among participants with all gradients of genetic risk.https://doi.org/10.1186/s12916-021-02122-1Heart failureIdeal cardiovascular health metricsGenetic risk
spellingShingle Ruotong Yang
Jun Lv
Canqing Yu
Yu Guo
Pei Pei
Ninghao Huang
Ling Yang
Iona Y. Millwood
Robin G. Walters
Yiping Chen
Huaidong Du
Ran Tao
Junshi Chen
Zhengming Chen
Robert Clarke
Tao Huang
Liming Li
on behalf of the China Kadoorie Biobank Collaborative Group
Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank
BMC Medicine
Heart failure
Ideal cardiovascular health metrics
Genetic risk
title Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank
title_full Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank
title_fullStr Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank
title_full_unstemmed Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank
title_short Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank
title_sort modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the china kadoorie biobank and the uk biobank
topic Heart failure
Ideal cardiovascular health metrics
Genetic risk
url https://doi.org/10.1186/s12916-021-02122-1
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