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Jaspal S. Kooner

Researcher at National Institutes of Health

Publications -  298
Citations -  79128

Jaspal S. Kooner is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 109, co-authored 284 publications receiving 65969 citations. Previous affiliations of Jaspal S. Kooner include University of Eastern Finland & London North West Healthcare NHS Trust.

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Does subclinical atherosclerosis burden identify the increased risk of cardiovascular disease mortality among United Kingdom Indian Asians? A population study.

TL;DR: The burden of carotid atherosclerosis does not identify the markedly increased risk of CVD among United Kingdom Indian Asians, and other markers and mechanisms of disease require investigation in this high-risk group.
Posted ContentDOI

Genetic discovery and translational decision support from exome sequencing of 20,791 type 2 diabetes cases and 24,440 controls from five ancestries

Jason Flannick, +179 more
- 31 Jul 2018 - 
TL;DR: An exome sequence analysis of type 2 diabetes cases and controls presents a Bayesian framework to recalibrate association p-values as posterior probabilities of association, estimating that reaching p<0.05 in this study increases the odds of causal T2D association for a nonsynonymous variant by a factor of 1.3.
Posted ContentDOI

Characterising the loss-of-function impact of 5’ untranslated region variants in whole genome sequence data from 15,708 individuals

Nicola Whiffin, +193 more
- 07 Feb 2019 - 
TL;DR: In this article, the authors describe a systematic genome-wide study of variants that create and disrupt human uORFs, and explore their role in human disease using 15,708 whole genome sequences collected by the Genome Aggregation Database (gnomAD) project.
Posted ContentDOI

Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation

N Ng, +264 more
TL;DR: Functional studies demonstrated that a novel FG/FI association at the liver-enriched G6PC transcript was driven by multiple rare loss-of-function variants, including two alleles within the same codon with divergent effects on glucose levels, highlighting the value of integrating genomic and functional data to maximize biological inference.