G
Gad Abraham
Researcher at Baker IDI Heart and Diabetes Institute
Publications - 57
Citations - 3500
Gad Abraham is an academic researcher from Baker IDI Heart and Diabetes Institute. The author has contributed to research in topics: Population & Framingham Risk Score. The author has an hindex of 22, co-authored 56 publications receiving 2218 citations. Previous affiliations of Gad Abraham include University of Cambridge & University of Melbourne.
Papers
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Journal ArticleDOI
Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention.
Michael Inouye,Gad Abraham,Christopher P. Nelson,Angela M. Wood,Michael J. Sweeting,Frank Dudbridge,Florence Lai,Stephen Kaptoge,Marta Brozynska,Tingting Wang,Shu Ye,Tom R. Webb,Martin K. Rutter,Ioanna Tzoulaki,Riyaz S. Patel,Ruth J. F. Loos,Bernard Keavney,Harry Hemingway,John F. Thompson,Hugh Watkins,Panos Deloukas,Emanuele Di Angelantonio,Adam S. Butterworth,John Danesh,Nilesh J. Samani +24 more
TL;DR: 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.
Journal ArticleDOI
Towards clinical utility of polygenic risk scores.
TL;DR: This review summarises the potential use cases for seven common diseases where PRS has or could have clinical utility and summarises open questions regarding PRS usability, ancestry bias, and transferability, emphasising the need for the next wave of studies to focus on the implementation and health-economic value of PRS testing.
Journal ArticleDOI
Fast principal component analysis of large-scale genome-wide data.
Gad Abraham,Michael Inouye +1 more
TL;DR: Flashpca as mentioned in this paper is a highly efficient implementation of principal component analysis (PCA) based on randomized algorithms which delivers identical accuracy in extracting the top principal components compared with existing tools, in substantially less time.
Journal ArticleDOI
FlashPCA2: principal component analysis of Biobank-scale genotype datasets
TL;DR: This work presents FlashPCA2, a tool that can perform partial PCA on 1 million individuals faster than competing approaches, while requiring substantially less memory.
Journal ArticleDOI
Genomic prediction of coronary heart disease.
Gad Abraham,Aki S. Havulinna,Oneil G. Bhalala,Sean G. Byars,Alysha M De Livera,Laxman Yetukuri,Emmi Tikkanen,Markus Perola,Markus Perola,Heribert Schunkert,Eric J.G. Sijbrands,Aarno Palotie,Nilesh J. Samani,Nilesh J. Samani,Veikko Salomaa,Samuli Ripatti,Samuli Ripatti,Michael Inouye +17 more
TL;DR: In this article, a GRS based on a large number of SNPs was used to predict the lifetime risk of coronary heart disease (CHD) in the Framingham Risk Score (FRS).