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Laura M. Raffield

Researcher at University of North Carolina at Chapel Hill

Publications -  179
Citations -  4816

Laura M. Raffield 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 23, co-authored 124 publications receiving 1948 citations. Previous affiliations of Laura M. Raffield include Medical University of South Carolina & Wake Forest University.

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Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations

Madeline H. Kowalski, +86 more
- 23 Dec 2019 - 
TL;DR: It is demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data, which subsequently enhanced gene-mapping power for complex traits.
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The trans-ancestral genomic architecture of glycemic traits

Ji Chen, +478 more
- 31 May 2021 - 
TL;DR: This paper aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available.
Posted ContentDOI

The Polygenic and Monogenic Basis of Blood Traits and Diseases

Dragana Vuckovic, +135 more
- 03 Feb 2020 - 
TL;DR: These results show the power of large-scale blood cell GWAS to interrogate clinically meaningful variants across the full allelic spectrum of human variation.
Posted ContentDOI

The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Ji Chen, +478 more
- 25 Jul 2020 - 
TL;DR: Genomic feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways, increasing understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.
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Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity

Peter K. Joshi, +123 more
TL;DR: Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.