Evidence map›Paper›PMID 26290879›Full record

ArticleJournal of diabetes research2015

Association Analysis of Genetic Variants with Type 2 Diabetes in a Mongolian Population in China.

Haihua Bai, Haiping Liu, Suyalatu Suyalatu, Xiaosen Guo, Shandan Chu, Ying Chen, Tianming Lan, Burenbatu Borjigin, Yuriy L Orlov, Olga L Posukh and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Association of Genetic Variants ofInternational journal of endocrinology · 2026
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  4. Medical Genetics, Genomics and Bioinformatics-2022.International journal of molecular sciences · 2023
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  8. Journal of personalized medicine · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 4 countries.

Haihua BaiInner Mongolia University for the Nationalities, Tongliao, Inner Mongolia 028000, China.
Haiping LiuInner Mongolia University for the Nationalities, Tongliao, Inner Mongolia 028000, China.
Suyalatu SuyalatuInner Mongolia University for the Nationalities, Tongliao, Inner Mongolia 028000, China.
Xiaosen GuoBGI-Shenzhen, Shenzhen 518083, China ; Department of Biology, University of Copenhagen, 2100 Copenhagen, Denmark.
Shandan ChuInner Mongolia University for the Nationalities, Tongliao, Inner Mongolia 028000, China.
Ying ChenBGI-Shenzhen, Shenzhen 518083, China.
Tianming LanBGI-Shenzhen, Shenzhen 518083, China.
Burenbatu BorjiginInner Mongolia University for the Nationalities, Tongliao, Inner Mongolia 028000, China.
Yuriy L OrlovThe Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia ; Novosibirsk State University, Novosibirsk 630090, Russia.
Olga L PosukhThe Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia ; Novosibirsk State University, Novosibirsk 630090, Russia.
Xiuqin YangCollege of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China.
Guilan GuilanInner Mongolia University for the Nationalities, Tongliao, Inner Mongolia 028000, China.
Ludmila P OsipovaThe Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia.
Qizhu WuInner Mongolia University for the Nationalities, Tongliao, Inner Mongolia 028000, China.
Narisu NarisuMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Inner Mongolia University for Nationalities · CNBGI Group (China) · CNInstitute of Cytology and Genetics · RUNational Human Genome Research Institute · USNortheast Agricultural University · CNSiberian Branch of the Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The large scale genome wide association studies (GWAS) have identified approximately 80 single nucleotide polymorphisms (SNPs) conferring susceptibility to type 2 diabetes (T2D). However, most of these loci have not been replicated in diverse populations and much genetic heterogeneity has been observed across ethnic groups. We tested 28 SNPs previously found to be associated with T2D by GWAS in a Mongolian sample of Northern China (497 diagnosed with T2D and 469 controls) for association with T2D and diabetes related quantitative traits. We replicated T2D association of 11 SNPs, namely, rs7578326 (IRS1), rs1531343 (HMGA2), rs8042680 (PRC1), rs7578597 (THADA), rs1333051 (CDKN2), rs6723108 (TMEM163), rs163182 and rs2237897 (KCNQ1), rs1387153 (MTNR1B), rs243021 (BCL11A), and rs10229583 (PAX4) in our sample. Further, we showed that risk allele of the strongest T2D associated SNP in our sample, rs757832 (IRS1), is associated with increased level of TG. We observed substantial difference of T2D risk allele frequency between the Mongolian sample and the 1000G Caucasian sample for a few SNPs, including rs6723108 (TMEM163) whose risk allele reaches near fixation in the Mongolian sample. Further study of genetic architecture of these variants in susceptibility of T2D is needed to understand the role of these variants in heterogeneous populations.

Indexed as

Genetic VariationPolymorphism, Single NucleotideAdultAgedAllelesAsian PeopleBody Mass IndexChinaDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic MarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansGenetic MarkersTriglycerides

Identifiers

PMID26290879
PMCPMC4531200
OpenAlexW1512580836

What OpenQuestion holds

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Registered trials

None linked

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.