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Genome-wide copy number variation study reveals KCNIP1 as a modulator of insulin secretion

Overview of attention for article published in Genomics, June 2014
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Title
Genome-wide copy number variation study reveals KCNIP1 as a modulator of insulin secretion
Published in
Genomics, June 2014
DOI 10.1016/j.ygeno.2014.05.004
Pubmed ID
Authors

Heun-Sik Lee, Sanghoon Moon, Jun Ho Yun, MeeHee Lee, Mi Yeong Hwang, Young-Jin Kim, Bok-Ghee Han, Jeong-Min Kim, Bong-Jo Kim

Abstract

Copy number variations (CNVs) have emerged as another important genetic marker in addition to SNP for understanding etiology of complex diseases. In light of this, we performed a genome-wide CNV study to identify type 2 diabetes (T2D)-associated CNV using an array comparative genomic hybridization from 3180 subjects for T2D cases (n=863) and controls (n=2,317). Thus, five CNV regions having a p-value threshold ≤0.05 were identified and evaluated by validation with quantitative PCR and comparison with previously reported CNV regions in the Database of Genomic Variants. Furthermore, we performed a functional experiment to assess the biological significance of a gene encompassing a CNV region. The inhibition of KCNIP1 led to increased insulin secretion in a glucose-dependent manner, but had no effect on insulin gene transcription as well as cell apoptosis. Taken together, these data indicate that KCNIP1 from CNV study might function as a T2D-susceptibility gene whose dysregulation alters insulin production.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Student > Ph. D. Student 4 14%
Researcher 3 11%
Student > Master 3 11%
Student > Doctoral Student 1 4%
Other 4 14%
Unknown 8 29%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Biochemistry, Genetics and Molecular Biology 5 18%
Agricultural and Biological Sciences 5 18%
Arts and Humanities 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 7%
Unknown 8 29%