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Samir Kelada

Samir Kelada

· Associate Professor

University of North Carolina at Chapel Hill · Toxicology

Active 2010–2024

h-index20
Citations1.8k
Papers8642 last 5y
Funding$4.1M
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About

Samir Kelada is an Associate Professor at the University of North Carolina School of Medicine. His research focuses on understanding the complex interactions between genes and environmental factors in human health, particularly in relation to airway diseases such as asthma. His lab aims to identify and characterize gene-environment interactions that influence disease susceptibility, with a specific interest in how the airway responds to exposures like allergens or pathogens. To achieve this, he employs a systems genetics approach to study gene expression in the lung, especially airway epithelia, across many individuals to identify genetic determinants of gene expression. This work seeks to uncover master regulators of gene expression that may serve as therapeutic targets or provide insight into disease mechanisms.

Research topics

  • Art history
  • Philosophy
  • Paleontology
  • Medicine
  • Biology
  • Classics
  • Environmental ethics
  • Evolutionary biology
  • History
  • Library science
  • Genetics

Selected publications

  • Ozone‐induced changes in the murine lung extracellular vesicle small RNA landscape

    Physiological Reports · 2021 · 18 citations

    Senior authorCorresponding
    • Library science
    • Medicine
    • Environmental ethics

    -induced respiratory inflammation.

  • Inferring the Allelic Series at QTL in Multiparental Populations

    Genetics · 2020 · 17 citations

    • Biology
    • Genetics
    • Evolutionary biology

    Synthetic Population Resource (DSPR). We find that, although posterior inference of the exact allelic series is often uncertain, we are able to distinguish biallelic QTL from more complex multiallelic cases. Additionally, our allele-based approach improves haplotype effect estimation when the true number of functional alleles is small. Our method, Tree-Based Inference of Multiallelism via Bayesian Regression (TIMBR), provides new insight into the genetic architecture of QTL in MPPs.

Recent grants

Frequent coauthors

  • Gregory J. Smith

    27 shared
  • Kathryn M. McFadden

    University of North Carolina at Chapel Hill

    23 shared
  • Francis S. Collins

    National Institutes of Health

    20 shared
  • Adelaide Tovar

    University of Michigan–Ann Arbor

    20 shared
  • Joseph M. Thomas

    19 shared
  • Elissa J. Chesler

    Jackson Laboratory

    18 shared
  • Barbara R. Grubb

    17 shared
  • William Valdar

    University of North Carolina at Chapel Hill

    17 shared

Labs

Education

  • Ph.D., Toxicology

    University of North Carolina at Chapel Hill

    2000
  • M.S., Toxicology

    University of North Carolina at Chapel Hill

    1996
  • B.S., Toxicology

    University of North Carolina at Chapel Hill

    1994

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