Highly elevated polygenic risk scores are better predictors of myocardial infarction risk early in life than later.
Highly elevated polygenic risk scores are better predictors of myocardial infarction risk early in life than later.
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DOI:
10.1186/s13073-021-00828-8
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发表时间:
2021-01-28
期刊:
影响因子:
12.3
通讯作者:
Gibson G
中科院分区:
文献类型:
--
作者:
Isgut M;Sun J;Quyyumi AA;Gibson G
Several polygenic risk scores (PRS) have been developed for cardiovascular risk prediction, but the additive value of including PRS together with conventional risk factors for risk prediction is questionable. This study assesses the clinical utility of including four PRS generated from 194, 46K, 1.5M, and 6M SNPs, along with conventional risk factors, to predict risk of ischemic heart disease (IHD), myocardial infarction (MI), and first MI event on or before age 50 (early MI). A cross-validated logistic regression (LR) algorithm was trained either on ~ 440K European ancestry individuals from the UK Biobank (UKB), or the full UKB population, including as features different combinations of conventional established-at-birth risk factors (ancestry, sex) and risk factors that are non-fixed over an individual’s lifespan (age, BMI, hypertension, hyperlipidemia, diabetes, smoking, family history), with and without also including PRS. The algorithm was trained separately with IHD, MI, and early MI as prediction labels. When LR was trained using risk factors established-at-birth, adding the four PRS significantly improved the area under the curve (AUC) for IHD (0.62 to 0.67) and MI (0.67 to 0.73), as well as for early MI (0.70 to 0.79). When LR was trained using all risk factors, adding the four PRS only resulted in a significantly higher disease prevalence in the 98th and 99th percentiles of both the IHD and MI scores. PRS improve cardiovascular risk stratification early in life when knowledge of later-life risk factors is unavailable. However, by middle age, when many risk factors are known, the improvement attributed to PRS is marginal for the general population. The online version contains supplementary material available at 10.1186/s13073-021-00828-8.
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影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
DOI:
10.1016/s0140-6736(15)00465-1
发表时间:
2016-01-09
期刊:
Lancet (London, England)
影响因子:
--
作者:
Cleynen I;Boucher G;Jostins L;Schumm LP;Zeissig S;Ahmad T;Andersen V;Andrews JM;Annese V;Brand S;Brant SR;Cho JH;Daly MJ;Dubinsky M;Duerr RH;Ferguson LR;Franke A;Gearry RB;Goyette P;Hakonarson H;Halfvarson J;Hov JR;Huang H;Kennedy NA;Kupcinskas L;Lawrance IC;Lee JC;Satsangi J;Schreiber S;Théâtre E;van der Meulen-de Jong AE;Weersma RK;Wilson DC;International Inflammatory Bowel Disease Genetics Consortium;Parkes M;Vermeire S;Rioux JD;Mansfield J;Silverberg MS;Radford-Smith G;McGovern DP;Barrett JC;Lees CW
通讯作者:
Lees CW
影响因子:
5
作者:
Fry A;Littlejohns TJ;Sudlow C;Doherty N;Adamska L;Sprosen T;Collins R;Allen NE
通讯作者:
Allen NE
影响因子:
9.2
作者:
Chang CC;Chow CC;Tellier LC;Vattikuti S;Purcell SM;Lee JJ
通讯作者:
Lee JJ
影响因子:
16.6
作者:
Duncan, L.;Shen, H.;Domingue, B.
通讯作者:
Domingue, B.