O1 Abstrakti
Shared genetic factors may partly explain the associations between physical activity and cardiometabolic diseases (2023)
Sillanpää, E., Tynkkynen, N., Törmäkangas, T., Palviainen, T., Hyvärinen, M., Joensuu, L., Klevjer, M., Bye, A., Pesonen, P., Waller, K., Kangas, M., Männikkö, M., Vähä-Ypyä, H., Sievänen, H., Korpelainen, R., Jämsä, T., Niemelä, M., Ripatti, S., Kujala, U., & Kaprio, J. (2023). Shared genetic factors may partly explain the associations between physical activity and cardiometabolic diseases. European Journal of Public Health, 33(Supplement_1), i74. https://doi.org/10.1093/eurpub/ckad133.184
JYU-tekijät tai -toimittajat
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Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Sillanpää, Elina; Tynkkynen, Niko; Törmäkangas, Timo; Palviainen, Teemu; Hyvärinen, Matti; Joensuu, Laura; Klevjer, Marie; Bye, Anja; Pesonen, Paula; Waller, Katja; et al.
Konferenssin paikka ja aika: Leuven, Belgium, 11.-13.9.2023
Lehti tai sarja: European Journal of Public Health
ISSN: 1101-1262
eISSN: 1464-360X
Julkaisuvuosi: 2023
Ilmestymispäivä: 01.09.2023
Volyymi: 33
Lehden numero: Supplement_1
Artikkelin sivunumerot: i74
Kustantaja: Oxford University Press (OUP)
Julkaisumaa: Britannia
Julkaisun kieli: englanti
DOI: https://doi.org/10.1093/eurpub/ckad133.184
Julkaisun avoin saatavuus: Avoimesti saatavilla
Julkaisukanavan avoin saatavuus: Kokonaan avoin julkaisukanava
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/89130
Lisätietoja: 2023 HEPA Europe Conference : Implementing Health-Enhancing Physical Activity Research : From Science to Policy and Practice
Tiivistelmä
Our study utilized the UK Biobank as a base dataset (N = 400,124) and constructed genomewide PRSs for both self-reported and device-measured PA using single nucleotide polymorphism (SNP)-specific weights and SBayesR methodology. Both PRSs for PA included over one million SNPs. PRSs were constructed in the Finnish Twin cohort (N = 759–11,528), the Northern Finland Birth Cohort 1966 (N = 3,263–4,061), the Trøndelag Health Study cohort (HUNT, N = 47,148), and the FinnGen (N = 218,792). Cardiometabolic risk factors were measured in laboratory conditions, and CMD outcomes were derived from national health registers (ICD codes). We utilized linear, logistic, and cox regression methods for analysis.
Our results showed that genotypes predisposing to higher PA were associated with higher levels of PA in independent datasets, but PRSs accounted for only a limited amount of variation (0.13-1.44%). Genotypes supporting higher PA were associated with lower body mass index [B=-0.002 in HUNT and B=-0.025 in FinnGen] and favorable cardiometabolic health in HUNT (waist circumference [B=-0.003] and HDL cholesterol [B = 0.004]). Genotypes supporting higher PA volumes were associated with lower incidence of CMDs in both HUNT and FinnGen. The strongest associations were found in hypertensive diseases and Type 2 Diabetes. In HUNT, the observed associations were not materially changed after accounting for self-reported PA. Higher PRS for PA was also associated with lower risk of mortality in FinnGen.
Our findings suggest small pleiotropic effects between PA and CMDs. This means that same genetic variation may explain both physical activity behaviour and risk of diseases. PRSs provide new tools for genetic studies in sport science, but they currently have substantial practical limitations.
YSO-asiasanat: liikunta; fyysinen aktiivisuus; perinnöllisyystiede; sydän- ja verisuonitaudit; diabetes
Liittyvät organisaatiot
OKM-raportointi: Ei raportoida
