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Marital status and genetic liability independently predict coronary heart disease incidence.

Authors
  • Silventoinen, Karri1, 2
  • Lahtinen, Hannu1
  • Korhonen, Kaarina1
  • Smith, George Davey3, 4
  • Ripatti, Samuli2, 5, 6
  • Morris, Tim3, 4
  • Martikainen, Pekka1, 7, 8
  • 1 Faculty of Social Sciences, University of Helsinki, Finland. , (Finland)
  • 2 Faculty of Medicine, University of Helsinki, Finland. , (Finland)
  • 3 Population Health Sciences, Bristol Medical School, University of Bristol, UK.
  • 4 MRC Integrative Epidemiology Unit, University of Bristol, UK.
  • 5 Institute for Molecular Medicine Finland, Finland. , (Finland)
  • 6 Broad Institute of MIT and Harvard, USA.
  • 7 Centre for Health Equity Studies, Stockholm University, Sweden. , (Sweden)
  • 8 Max-Planck-Institute for Demographic Research, Germany. , (Germany)
Type
Published Article
Journal
Scandinavian journal of public health
Publication Date
Feb 01, 2024
Volume
52
Issue
1
Pages
1–4
Identifiers
DOI: 10.1177/14034948221119634
PMID: 36071625
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Married individuals have a lower coronary heart disease (CHD) risk than non-married, but the mechanisms behind this are not fully understood. We analyzed whether genetic liability to CHD may affect these associations. Marital status, a polygenic score of CHD (PGS-CHD), and other risk factors for CHD were measured from 35,444 participants (53% female) in Finnish population-based surveys conducted between 1992 and 2012. During the register-based follow-up until 2020, there were 2439 fatal and non-fatal incident CHD cases. The data were analyzed using linear and Cox regression models. Divorced and cohabiting men and women had a higher genetic risk of CHD than married individuals, but the difference was very small (0.023-0.058 standard deviation of PGS-CHD, p-values 0.011-0.429). Both marital status and PGS-CHD were associated with CHD incidence, but the associations were largely independent. Adjusting for behavioral and metabolic risk factors for CHD explained part of these associations (11-20%). No interaction was found between marital status and PGS-CHD for CHD incidence. We showed minor differences between the marital status categories in PGS-CHD and demonstrated that marital status and genetic liability predicted CHD incidence largely independently. This emphasizes the need to measure multiple risk factors when predicting CHD risk.

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