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Misa Graff

Researcher at University of North Carolina at Chapel Hill

Publications -  50
Citations -  1838

Misa Graff is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 17, co-authored 45 publications receiving 1233 citations.

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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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Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Anne E. Justice, +370 more
TL;DR: The results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution, and highlight the importance of accounting for environment in genetic analyses.
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Directional dominance on stature and cognition in diverse human populations

Peter K. Joshi, +358 more
- 23 Jul 2015 - 
TL;DR: This study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.

Directional dominance on stature and cognition in diverse human populations

Peter K. Joshi, +358 more
TL;DR: In this article, the authors use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of heterozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment.
Posted ContentDOI

Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Anubha Mahajan, +245 more
- 23 Sep 2020 - 
TL;DR: Improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying foundations for functional investigations.