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Sökning: WFRF:(Elosua Roberto) > Cardiovascular risk...

Cardiovascular risk factors and ischemic heart disease

Elosua, Roberto (författare)
Hospital del Mar Medical Research Institute
Lluís-Ganella, Carla (författare)
Hospital del Mar Medical Research Institute
Subirana, Isaac (författare)
CIBER Epidemiology and Public Health (CIBERESP)
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Havulinna, Aki (författare)
Finnish National Institute for Health and Welfare
Läll, Kristi (författare)
University of Tartu
Lucas, Gavin (författare)
Hospital del Mar Medical Research Institute
Sayols-Baixeras, Sergi (författare)
Hospital del Mar Medical Research Institute
Pietilä, Arto (författare)
Finnish National Institute for Health and Welfare
Alver, Maris (författare)
University of Tartu
De León, Antonio Cabrera (författare)
University of La Laguna (ULL)
Sentí, Mariano (författare)
Pompeu Fabra University
Siscovick, David (författare)
New York Academy of Medicine
Melander, Olle (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups,Skåne University Hospital
Fischer, Krista (författare)
University of Tartu
Salomaa, Veikko (författare)
Finnish National Institute for Health and Welfare
Marrugat, Jaume (författare)
Hospital del Mar Medical Research Institute
visa färre...
 (creator_code:org_t)
2016
2016
Engelska 8 s.
Ingår i: Circulation: Cardiovascular Genetics. - 1942-325X. ; 9:3, s. 279-286
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background - Cardiovascular risk factors tend to aggregate. The biological and predictive value of this aggregation is questioned and genetics could shed light on this debate. Our aims were to reappraise the impact of risk factor confluence on ischemic heart disease (IHD) risk by testing whether genetic risk scores (GRSs) associated with these factors interact on an additive or multiplicative scale, and to determine whether these interactions provide additional value for predicting IHD risk. Methods and Results - We selected genetic variants associated with blood pressure, body mass index, waist circumference, triglycerides, type-2 diabetes mellitus, high-density lipoprotein and low-density lipoprotein cholesterol, and IHD to create GRSs for each factor. We tested and meta-analyzed the impact of additive (synergy index) and multiplicative (β interaction) interactions between each GRS pair in 1 case-control (n=6042) and 4 cohort studies (n=17 794) and evaluated the predictive value of these interactions. We observed 2 multiplicative interactions: GRS LDL ·GRS Triglycerides (β interaction =-0.096; SE=0.028) and nonpleiotropic GRS IHD ·GRS LDL (β interaction =0.091; SE=0.028). Inclusion of these interaction terms did not improve predictive capacity. Conclusions - The confluence of low-density lipoprotein cholesterol and triglycerides genetic risk load has an additive effect on IHD risk. The interaction between low-density lipoprotein cholesterol and IHD genetic load is more than multiplicative, supporting the hazardous impact on atherosclerosis progression of the combination of inflammation and increased lipid levels. The capacity of risk factor confluence to improve IHD risk prediction is questionable. Further studies in larger samples are warranted to confirm and expand our results.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

genetic association studies
genetic variation
regression analysis
risk assessment
risk factors

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

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