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Open AccessJournal ArticleDOI

Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention.

TLDR
The genomic score developed and evaluated here substantially advances the concept of using genomic information to stratify individuals with different trajectories of CAD risk and highlights the potential for genomic screening in early life to complement conventional risk prediction.
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This article is published in Journal of the American College of Cardiology.The article was published on 2018-10-16 and is currently open access. It has received 522 citations till now. The article focuses on the topics: Framingham Risk Score.

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Citations
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Machine learning for prediction of schizophrenia using genetic and demographic factors in the UK biobank

TL;DR: Machine learning approaches did not provide substantial added value for prediction of schizophrenia over logistic regression, as indexed by AUROC; however, risk scores derived with different ML approaches differ with respect to association with schizophrenia-related traits.
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The potential of current polygenic risk scores to predict high myopia and myopic macular degeneration in multi-ethnic Singapore adults.

TL;DR: In this article , the authors evaluated the transancestry portability of current myopia polygenic risk scores (PRSs) to predict high myopia (HM) and myopic macular degeneration (MMD) in an Asian population.
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Direction of association between Cardiovascular risk and depressive symptoms during the first 18 years of life: A prospective birth cohort study.

TL;DR: In this article, the authors used regression analysis to test the direction of association between CVD risk and depressive symptoms in young people and potential mechanisms are poorly understood, and they found that the associations between childhood inflammatory markers and depression in early-adulthood were unidirectional.
Journal ArticleDOI

Use of Polygenic Risk Scores for Coronary Heart Disease in Ancestrally Diverse Populations

TL;DR: The authors reviewed the performance of polygenic risk score (PRS) for coronary heart disease across different ancestries and efforts to reduce variability in performance including novel population and statistical genetics approaches.
References
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Journal ArticleDOI

ROCR: visualizing classifier performance in R

TL;DR: UNLABELLED ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R that features over 25 performance measures that can be freely combined to create two-dimensional performance curves.
Journal ArticleDOI

A reference panel of 64,976 haplotypes for genotype imputation

Shane A. McCarthy, +117 more
- 22 Aug 2016 - 
TL;DR: A reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies.
Journal ArticleDOI

Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population.

TL;DR: UK Biobank is not representative of the sampling population; there is evidence of a “healthy volunteer” selection bias; valid assessment of exposure-disease relationships may be widely generalizable and does not require participants to be Representative of the population at large.
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A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

Majid Nikpay, +167 more
- 07 Sep 2015 - 
TL;DR: This article conducted a meta-analysis of coronary artery disease (CAD) cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 millions low-frequency (0.005 < MAF < 0.5) variants.
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A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease

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Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson, +394 more