Familial aggregation of multimorbidity in Sweden: national explorative family study.

epidemiology genetics genetics, medical medicine public health

Journal

BMJ medicine
ISSN: 2754-0413
Titre abrégé: BMJ Med
Pays: England
ID NLM: 9918487584306676

Informations de publication

Date de publication:
2023
Historique:
received: 24 11 2021
accepted: 01 06 2023
medline: 19 7 2023
pubmed: 19 7 2023
entrez: 19 7 2023
Statut: epublish

Résumé

To examine whether multimorbidity aggregates in families in Sweden. National explorative family study. Swedish Multigeneration Register linked to the National Patient Register, 1997-2015. Multimorbidity was assessed with a modified counting method of 45 chronic non-communicable diseases according to ICD-10 (international classification of diseases, 10th revision) diagnoses. 2 694 442 Swedish born individuals (48.73% women) who could be linked to their Swedish born first, second, and third degree relatives. Twins were defined as full siblings born on the same date. Multimorbidity was defined as two or more non-communicable diseases. Familial associations for one, two, three, four, and five or more non-communicable diseases were assessed to examine risks depending on the number of non-communicable diseases. Familial adjusted odds ratios for multimorbidity were calculated for individuals with a diagnosis of multimorbidity compared with relatives of individuals unaffected by multimorbidity (reference). An initial principal component decomposition followed by a factor analysis with a principal factor method and an oblique promax rotation was used on the correlation matrix of tetrachoric correlations between 45 diagnoses in patients to identify disease clusters. The odds ratios for multimorbidity were 2.89 in twins (95% confidence interval 2.56 to 3.25), 1.81 in full siblings (1.78 to 1.84), 1.26 in half siblings (1.24 to 1.28), and 1.13 in cousins (1.12 to 1.14) of relatives with a diagnosis of multimorbidity. The odds ratios for multimorbidity increased with the number of diseases in relatives. For example, among twins, the odds ratios for multimorbidity were 1.73, 2.84, 4.09, 4.63, and 6.66 for an increasing number of diseases in relatives, from one to five or more, respectively. Odds ratios were highest at younger ages: in twins, the odds ratio was 3.22 for those aged ≤20 years, 3.14 for those aged 21-30 years, and 2.29 for those aged >30 years at the end of follow-up. Nine disease clusters (factor clusters 1-9) were identified, of which seven aggregated in families. The first three disease clusters in the principal component decomposition were cardiometabolic disease (factor 1), mental health disorders (factor 2), and disorders of the digestive system (factor 3). Odds ratios for multimorbidity in twins, siblings, half siblings, and cousins for the factor 1 cluster were 2.79 (95% confidence interval 0.97 to 8.06), 2.62 (2.39 to 2.88), 1.52 (1.34 to 1.73), and 1.31 (1.23 to 1.39), and for the factor 2 cluster, 5.79 (4.48 to 7.48) 3.24 (3.13 to 3.36), 1.51 (1.45 to 1.57), and 1.37 (1.341.40). The results of this explorative family study indicated that multimorbidity aggregated in Swedish families. The findings suggest that map clusters of diseases should be used for the genetic study of common diseases to show new genetic patterns of non-communicable diseases.

Identifiants

pubmed: 37465436
doi: 10.1136/bmjmed-2021-000070
pii: bmjmed-2021-000070
pmc: PMC10351236
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e000070

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from ALF-funding, the Swedish Research Council, and Sparbanken Skåne for the submitted work; BZ and KS report receiving grants from ALF-funding from Region Skåne for the submitted work; BZ reports receiving grants from the Swedish Research Council and Sparbanken Skåne for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

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Auteurs

Bengt Zöller (B)

Department of Clinical Science, Lund University, Malmö, Sweden.
Centre for Primary Health Care Research, Lund University, Malmö, Sweden.

MirNabi Pirouzifard (M)

Department of Clinical Science, Lund University, Malmö, Sweden.
Centre for Primary Health Care Research, Lund University, Malmö, Sweden.

Björn Holmquist (B)

Department of Statistics, Lund University, Lund, Sweden.

Jan Sundquist (J)

Department of Clinical Science, Lund University, Malmö, Sweden.
Centre for Primary Health Care Research, Lund University, Malmö, Sweden.

Anders Halling (A)

Department of Clinical Science, Lund University, Malmö, Sweden.
Centre for Primary Health Care Research, Lund University, Malmö, Sweden.

Kristina Sundquist (K)

Department of Clinical Science, Lund University, Malmö, Sweden.
Centre for Primary Health Care Research, Lund University, Malmö, Sweden.

Classifications MeSH