Evidence map›Paper›PMID 27744525›Full record

ArticleDiabetologia2017

Exome-chip association analysis reveals an Asian-specific missense variant in PAX4 associated with type 2 diabetes in Chinese individuals.

Chloe Y Y Cheung, Clara S Tang, Aimin Xu, Chi-Ho Lee, Ka-Wing Au, Lin Xu, Carol H Y Fong, Kelvin H M Kwok, Wing-Sun Chow, Yu-Cho Woo and 15 more

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. dentification and characterization of novelBMJ open diabetes research & care · 2025
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  5. Article
  6. Article
  7. Article
  8. Pax4 in Health and Diabetes.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
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

25 authors at 4 institutions in 3 countries.

Chloe Y Y CheungDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Clara S TangDepartment of Surgery, University of Hong Kong, Hong Kong, People's Republic of China.
Aimin XuState Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong, People's Republic of China.
Chi-Ho LeeDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Ka-Wing AuDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Lin XuSchool of Public Health, Room 505, Faculty of Medicine Building, William M.W. Mong Block, University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, People's Republic of China.
Carol H Y FongDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Kelvin H M KwokDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Wing-Sun ChowDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Yu-Cho WooDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Michele M A YuenDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
JoJo S H HaiDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Ya-Li JinMolecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China.
Bernard M Y CheungDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Kathryn C B TanDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China.
Stacey S ChernyDepartment of Psychiatry, University of Hong Kong, Hong Kong, People's Republic of China.
Feng ZhuMolecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China.
Tong ZhuMolecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China.
G Neil ThomasInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Kar-Keung ChengInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Chao-Qiang JiangMolecular Epidemiological Research Centre, Guangzhou Number 12 Hospital, Guangzhou, Guangdong, People's Republic of China.
Tai-Hing LamSchool of Public Health, Room 505, Faculty of Medicine Building, William M.W. Mong Block, University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, People's Republic of China. hrmrlth@hku.hk.
Hung-Fat TseDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China. hftse@hkucc.hku.hk.
Pak-Chung ShamDepartment of Psychiatry, University of Hong Kong, Hong Kong, People's Republic of China. pcsham@hku.hk.
Karen S L LamDepartment of Medicine, University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, People's Republic of China. ksllam@hku.hk.
University of Hong Kong · HKQueen Mary Hospital · CNTwelfth Guangzhou City People's Hospital · CNUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisGenome-wide association studies (GWASs) have identified many common type 2 diabetes-associated variants, mostly at the intronic or intergenic regions. Recent advancements of exome-array genotyping platforms have opened up a novel means for detecting the associations of low-frequency or rare coding variants with type 2 diabetes. We conducted an exomechip association analysis to identify additional type 2 diabetes susceptibility variants in the Chinese population.

methodsAn exome-chip association study was conducted by genotyping 5640 Chinese individuals from Hong Kong, using a custom designed exome array, the Asian Exomechip. Single variant association analysis was conducted on 77,468 single nucleotide polymorphisms (SNPs). Fifteen SNPs were subsequently genotyped for replication analysis in an independent Chinese cohort comprising 12,362 individuals from Guangzhou. A combined analysis involving 7189 cases and 10,813 controls was performed.

resultsIn the discovery stage, an Asian-specific coding variant rs2233580 (p.Arg192His) in PAX4, and two variants at the known loci, CDKN2B-AS1 and KCNQ1, were significantly associated with type 2 diabetes with exome-wide significance (p CONCLUSIONS/

interpretationWe identified the association of a PAX4 Asian-specific missense variant rs2233580 with type 2 diabetes in an exome-chip association analysis, supporting the involvement of PAX4 in the pathogenesis of type 2 diabetes. Our findings suggest PAX4 is a possible effector gene of the 7q32 locus, previously identified from GWAS in Asians.

Indexed as

AgedAsian PeopleDiabetes Mellitus, Type 2ExomeFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHomeodomain ProteinsHumansMaleMiddle AgedMutation, MissensePaired Box Transcription FactorsPolymorphism, Single NucleotideHomeodomain ProteinsPaired Box Transcription FactorsPAX4 protein, humanAsian-specificExome-chip association analysisPAX4Type 2 diabetes

Identifiers

PMID27744525
OpenAlexW2530601537

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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.