Identification of a genetic locus on chromosome 4q34-35 for type 2 diabetes with overweight View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-02

AUTHORS

Mi-Hyun Park, Soo Heon Kwak, Kwang Joong Kim, Min Jin Go, Hye-Ja Lee, Kyung-Seon Kim, Joo-Yeon Hwang, Kuchan Kimm, Young-Min Cho, Hong Kyu Lee, Kyong Soo Park, Jong-Young Lee

ABSTRACT

The incidence of type 2 diabetes is rising rapidly because of an increase in the incidence of being overweight and obesity. Identification of genetic determinants for complex diseases, such as type 2 diabetes, may provide insight into disease pathogenesis. The aim of the study was to investigate the shared genetic factors that predispose individuals to being overweight and developing type 2 diabetes. We conducted genome-wide linkage analyses for type 2 diabetes in 386 affected individuals (269 sibpairs) from 171 Korean families and association analyses with single-nucleotide polymorphisms of candidate genes within linkage regions to identify genetic variants that predispose individuals to being overweight and developing type 2 diabetes. Through fine-mapping analysis of chromosome 4q34-35, we detected a locus potentially linked (nonparametric linkage 2.81, logarithm of odds 2.27, P=6×10(-4)) to type 2 diabetes in overweight or obese individuals (body mass index, BMI≥23 kg m(-2)). Multiple regression analysis with type 2 diabetes-related phenotypes revealed a significant association (false discovery rate (FDR) P=0.006 for rs13144140; FDR P=0.002 for rs6830266) between GPM6A (rs13144140) and BMI and waist-hip ratio, and between NEIL3 (rs6830266) and insulin level from 1314 normal individuals. Our systematic search of genome-wide linkage and association studies, demonstrate that a linkage peak for type 2 diabetes on chromosome 4q34-35 contains two type 2 diabetes-related genes, GPM6A and NEIL3. More... »

PAGES

e7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/emm.2013.5

DOI

http://dx.doi.org/10.1038/emm.2013.5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028337098

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23392254


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HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/emm.2013.5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/emm.2013.5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/emm.2013.5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/emm.2013.5'


 

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