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Ranjan Deka

Researcher at University of Cincinnati

Publications -  197
Citations -  10628

Ranjan Deka is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Population & Allele. The author has an hindex of 52, co-authored 178 publications receiving 9856 citations. Previous affiliations of Ranjan Deka include University of Texas Health Science Center at Houston & Boston Children's Hospital.

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Conservation of human chromosome 13 polymorphic microsatellite (CA)n repeats in chimpanzees.

TL;DR: The genetic distance between humans and chimpanzees was found to be ninefold smaller than expected assuming there is no selection or mutational bias toward retention of (CA)n repeat arrays, which suggests a functional significance for these microsatellite loci.
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Dynamics of Repeat Polymorphisms Under a Forward-Backward Mutation Model: Within- and Between-Population Variability at Microsatellite Loci

TL;DR: This work provides a mathematical basis for suggesting a measure of genetic distance between populations based on microsatellite variation and indicates that such a genetic distance measure can remain proportional to the divergence time of populations even when the forward-backward mutations produce variable and/or directionally biased alleles size changes.
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Prevalence of adiposity and associated cardiometabolic risk factors in the Samoan genome-wide association study.

TL;DR: The prevalence of obesity‐related noncommunicable diseases (NCDs) and associated risk factors in a sample of Samoan adults studied in 2010 as part of a genome‐wide assocation study (GWAS) for obesity related traits is described.
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Whole-genome amplification: relative efficiencies of the current methods.

TL;DR: It is demonstrated that blood spots on FTA cards are a more efficient source of DNA for I-PEP as compared to MDA, especially for STR analysis, and the specificity of the I- PEP products appears to be higher, particularly in the analysis of STR loci.
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Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

Pierrick Wainschtein, +453 more
TL;DR: The results imply that rare variants, in particular those in regions of low linkage disequilibrium, are a major source of the still missing heritability of complex traits and disease.