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Anne E. Justice

Researcher at University of North Carolina at Chapel Hill

Publications -  114
Citations -  13456

Anne E. Justice is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 34, co-authored 94 publications receiving 11026 citations. Previous affiliations of Anne E. Justice include Geisinger Health System & University of Oxford.

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Whole-genome sequencing reveals host factors underlying critical COVID-19

TL;DR: The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms as mentioned in this paper .
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Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium

Maggie C.Y. Ng, +119 more
- 21 Apr 2017 - 
TL;DR: The results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants, and trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.
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A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

Yun J. Sung, +329 more
TL;DR: The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits and highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function.
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A saturated map of common genetic variants associated with human height

Loic Yengo, +617 more
- 10 Jan 2022 - 
TL;DR: In this article , the authors show that common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes.