Evidence map›Paper›PMID 21124896›Full record

ArticlePloS one2010

Analyses of copy number variation of GK rat reveal new putative type 2 diabetes susceptibility loci.

Zhi-Qiang Ye, Shen Niu, Yang Yu, Hui Yu, Bao-Hong Liu, Rong-Xia Li, Hua-Sheng Xiao, Rong Zeng, Yi-Xue Li, Jia-Rui Wu and 1 more

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Zhi-Qiang YeKey Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Shen Niu
Yang Yu
Hui Yu
Bao-Hong Liu
Rong-Xia Li
Hua-Sheng Xiao
Rong Zeng
Yi-Xue Li
Jia-Rui Wu
Yuan-Yuan Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large efforts have been taken to search for genes responsible for type 2 diabetes (T2D), but have resulted in only about 20 in humans due to its complexity and heterogeneity. The GK rat, a spontanous T2D model, offers us a superior opportunity to search for more diabetic genes. Utilizing array comparative genome hybridization (aCGH) technology, we identifed 137 non-redundant copy number variation (CNV) regions from the GK rats when using normal Wistar rats as control. These CNV regions (CNVRs) covered approximately 36 Mb nucleotides, accounting for about 1% of the whole genome. By integrating information from gene annotations and disease knowledge, we investigated the CNVRs comprehensively for mining new T2D genes. As a result, we prioritized 16 putative protein-coding genes and two microRNA genes (rno-mir-30b and rno-mir-30d) as good candidates. The catalogue of CNVRs between GK and Wistar rats identified in this work served as a repository for mining genes that might play roles in the pathogenesis of T2D. Moreover, our efforts in utilizing bioinformatics methods to prioritize good candidate genes provided a more specific set of putative candidates. These findings would contribute to the research into the genetic basis of T2D, and thus shed light on its pathogenesis.

Indexed as

Genetic VariationAnimalsChromosome MappingComparative Genomic HybridizationDiabetes Mellitus, Type 2Gene DosageGene Expression ProfilingGenetic Predisposition to DiseaseMaleMicroRNAsQuantitative Trait LociRatsRats, WistarMicroRNAs

Identifiers

PMID21124896
PMCPMC2990713

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.