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Joshua D. Backman

Researcher at University of Maryland, Baltimore

Publications -  30
Citations -  2088

Joshua D. Backman is an academic researcher from University of Maryland, Baltimore. The author has contributed to research in topics: Genome-wide association study & Exome. The author has an hindex of 13, co-authored 23 publications receiving 677 citations. Previous affiliations of Joshua D. Backman include University of Maryland, College Park.

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Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure.

Sonia Shah, +167 more
TL;DR: Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension.
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Exome sequencing and characterization of 49,960 individuals in the UK Biobank.

TL;DR: The release of exome-sequence data for the first 49,960 study participants, revealing approximately 4 million coding variants, illustrating the power of characterizing LOF variants in this population through association analyses across 1,730 phenotypes and demonstrating the value of genome sequencing in large population-based studies.
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Computationally efficient whole-genome regression for quantitative and binary traits.

TL;DR: RegenerIE as mentioned in this paper is a whole-genome regression method based on ridge regression that enables highly parallelized analysis of quantitative and binary traits in biobank-scale data with reduced computational requirements.
Posted ContentDOI

Computationally efficient whole genome regression for quantitative and binary traits

TL;DR: A novel machine learning method called REGENIE for fitting a whole genome regression model that is orders of magnitude faster than alternatives, while maintaining statistical efficiency, is presented.