Predicting stroke through genetic risk functions: the CHARGE Risk Score Project - Wikidata - awgldk - TriplyDB

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

http://www.wikidata.org/entity/Q28657722

about

Improved prediction of complex diseases by common genetic markers: state of the art and further perspectives Genetics of ischaemic stroke in young adults Current Applications of Genetic Risk Scores to Cardiovascular Outcomes and Subclinical Phenotypes Genetic diagnosis and prognosis of Alzheimer's disease: challenges and opportunities Epidemiology of cardiovascular disease: recent novel outlooks on risk factors and clinical approaches.Recommendations from the international stroke genetics consortium, part 1: standardized phenotypic data collection Genetic-based prediction of disease traits: prediction is very difficult, especially about the future Stroke genetics: a review and update.Genetics of cerebral small vessel disease A genetic risk score for hypertension associates with the risk of ischemic stroke in a Swedish case-control study.A colorectal cancer prediction model using traditional and genetic risk scores in Koreans Boosting for high-dimensional two-class prediction.Genetic Associations With White Matter Hyperintensities Confer Risk of Lacunar Stroke.Genetics of stroke in a UK African ancestry case-control study: South London Ethnicity and Stroke Study.Utilizing nutritional genomics to tailor diets for the prevention of cardiovascular disease: a guide for upcoming studies and implementations.Beyond Endometriosis Genome-Wide Association Study: From Genomics to Phenomics to the Patient.Multiple Genetic Associations with Irish Wolfhound Dilated Cardiomyopathy.Revised Framingham Stroke Risk Profile to Reflect Temporal Trends.Coronary Artery Calcification and Rheumatoid Arthritis: Lack of Relationship to Risk Alleles for Coronary Artery Disease in the General Population.[Prediction in cerebrovascular diseases].Body fat distribution and risk of incident ischemic stroke in men and women aged 50 to 74 years from the general population. The KORA Augsburg cohort study.Traditional and Genetic Risk Score and Stroke Risk Prediction in Korea

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P2860

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

http://www.wikidata.org/entity/Q28657722

description

2014 nî lūn-bûn

@nan

2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

@ast

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

@nl

type

label

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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Predicting Stroke Through Genetic Risk Functions

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prefLabel

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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STROKEAHA.113.003044

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Predicting stroke through genetic risk functions: the CHARGE Risk Score Project

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Anita L Destefano

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Carla A Ibrahim-Verbaas

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Caroline S Fox

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Charles Decarli

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Christopher J O'Donnell

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Georg B Ehret

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Kenneth Rice

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Kent D Taylor

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P2860

Association between a literature-based genetic risk score and cardiovascular events in women

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

The Rotterdam Study: 2010 objectives and design update

A genome-wide association scan of RR and QT interval duration in 3 European genetically isolated populations: the EUROSPAN project

Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study

Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts

Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.

Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke.

The Cardiovascular Health Study: design and rationale

The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators

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Sekar Kathiresan

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2014-02-01T00:00:00Z

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