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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004382naa a2200469 4500
001oai:lup.lub.lu.se:f1380a92-6013-46f9-8f86-927342afca3b
003SwePub
008201105s2020 | |||||||||||000 ||eng|
0247 a https://lup.lub.lu.se/record/f1380a92-6013-46f9-8f86-927342afca3b2 URI
0247 a https://doi.org/10.1161/ATVBAHA.120.3148562 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Hindy, Georgeu Qatar University4 aut0 (Swepub:lu)med-ghu
2451 0a Genome-Wide Polygenic Score, Clinical Risk Factors, and Long-Term Trajectories of Coronary Artery Disease
264 1c 2020
300 a 9 s.
520 a OBJECTIVE: To determine the relationship of a genome-wide polygenic score for coronary artery disease (GPSCAD) with lifetime trajectories of CAD risk, directly compare its predictive capacity to traditional risk factors, and assess its interplay with the Pooled Cohort Equations (PCE) clinical risk estimator. Approach and Results: We studied GPSCAD in 28 556 middle-aged participants of the Malmö Diet and Cancer Study, of whom 4122 (14.4%) developed CAD over a median follow-up of 21.3 years. A pronounced gradient in lifetime risk of CAD was observed-16% for those in the lowest GPSCAD decile to 48% in the highest. We evaluated the discriminative capacity of the GPSCAD-as assessed by change in the C-statistic from a baseline model including age and sex-among 5685 individuals with PCE risk estimates available. The increment for the GPSCAD (+0.045, P<0.001) was higher than for any of 11 traditional risk factors (range +0.007 to +0.032). Minimal correlation was observed between GPSCAD and 10-year risk defined by the PCE (r=0.03), and addition of GPSCAD improved the C-statistic of the PCE model by 0.026. A significant gradient in lifetime risk was observed for the GPSCAD, even among individuals within a given PCE clinical risk stratum. We replicated key findings-noting strikingly consistent results-in 325 003 participants of the UK Biobank. CONCLUSIONS: GPSCAD-a risk estimator available from birth-stratifies individuals into varying trajectories of clinical risk for CAD. Implementation of GPSCAD may enable identification of high-risk individuals early in life, decades in advance of manifest risk factors or disease.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kardiologi0 (SwePub)302062 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cardiac and Cardiovascular Systems0 (SwePub)302062 hsv//eng
653 a coronary artery disease
653 a disease
653 a genome
653 a risk factors
653 a statistics
7001 a Aragam, Krishna G.u Harvard University,Broad Institute,Massachusetts General Hospital4 aut
7001 a Ng, Kenneyu IBM Research Cambridge4 aut
7001 a Chaffin, Marku Broad Institute4 aut
7001 a Lotta, Luca A.u Regeneron Pharmaceuticals, Inc.4 aut
7001 a Baras, Arisu Regeneron Pharmaceuticals, Inc.4 aut
7001 a Drake, Isabelu Lund University,Lunds universitet,Diabetes - kardiovaskulär sjukdom,Forskargrupper vid Lunds universitet,Diabetes - Cardiovascular Disease,Lund University Research Groups4 aut0 (Swepub:lu)med-ihm
7001 a Orho-Melander, Marjuu Lund University,Lunds universitet,Diabetes - kardiovaskulär sjukdom,Forskargrupper vid Lunds universitet,Diabetes - Cardiovascular Disease,Lund University Research Groups4 aut0 (Swepub:lu)endo-mor
7001 a Melander, Olleu Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups4 aut0 (Swepub:lu)endo-ome
7001 a Kathiresan, Sekaru Massachusetts General Hospital,Broad Institute,Harvard University4 aut
7001 a Khera, Amit V.u Harvard University,Broad Institute,Massachusetts General Hospital4 aut
7102 a Qatar Universityb Harvard University4 org
7730 t Arteriosclerosis, Thrombosis, and Vascular Biologyg 40:11, s. 2738-2746q 40:11<2738-2746x 1524-4636
8564 u http://dx.doi.org/10.1161/ATVBAHA.120.314856x freey FULLTEXT
8564 8u https://lup.lub.lu.se/record/f1380a92-6013-46f9-8f86-927342afca3b
8564 8u https://doi.org/10.1161/ATVBAHA.120.314856

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