↓ Skip to main content

PLOS

Obese Locus in WNIN/Obese Rat Maps on Chromosome 5 Upstream of Leptin Receptor

Overview of attention for article published in PLOS ONE, October 2013
Altmetric Badge

Mentioned by

facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
12 Mendeley
Title
Obese Locus in WNIN/Obese Rat Maps on Chromosome 5 Upstream of Leptin Receptor
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077679
Pubmed ID
Authors

Rajender Rao Kalashikam, Kiran Kumar Battula, Veerababu Kirlampalli, Jeffrey M. Friedman, Giridharan Nappanveettil

Abstract

WNIN/Obese (WNIN/Ob) rat a new mutant model of metabolic syndrome was identified in 1996 from an inbred Wistar rat strain, WNIN. So far several papers are published on this model highlighting its physical, biochemical and metabolic traits. WNIN/Ob is leptin resistant with unaltered leptin or its receptor coding sequences--the two well-known candidate genes for obesity. Genotyping analysis of F2 progeny (raised from WNIN/Ob × Fisher--344) in the present study localized the mutation to a recombinant region of 14.15cM on chromosome 5. This was further corroborated by QTL analysis for body weight, which narrowed this region to 4.43 cM with flanking markers D5Rat256 & D5Wox37. Interval mapping of body weight QTL shows that the LOD score peak maps upstream of leptin receptor and shows an additive effect suggesting this as a novel mutation and signifying the model as a valuable resource for studies on obesity and metabolic syndrome.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Bachelor 3 25%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 42%
Biochemistry, Genetics and Molecular Biology 3 25%
Medicine and Dentistry 2 17%
Neuroscience 1 8%
Unknown 1 8%