Evidence map›Paper›PMID 25955821›Full record

SynthesisPloS one2015

Replication of KCNJ11 (p.E23K) and ABCC8 (p.S1369A) Association in Russian Diabetes Mellitus 2 Type Cohort and Meta-Analysis.

Ekaterina Alekseevna Sokolova, Irina Arkadievna Bondar, Olesya Yurievna Shabelnikova, Olga Vladimirovna Pyankova, Maxim Leonidovich Filipenko

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
  7. Identifying the association between single nucleotide polymorphisms inInternational journal of medical sciences · 2020
    Observational
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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

5 authors at 3 institutions in 1 country.

Ekaterina Alekseevna SokolovaLaboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia; Novosibirsk State University, Novosibirsk, Russia.
Irina Arkadievna BondarNovosibirsk State Regional Hospital, Regional Diabetes center, Novosibirsk, Russia; Novosibirsk State Medical University, Novosibirsk, Russia.
Olesya Yurievna ShabelnikovaNovosibirsk State Regional Hospital, Regional Diabetes center, Novosibirsk, Russia; Novosibirsk State Medical University, Novosibirsk, Russia.
Olga Vladimirovna PyankovaLaboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia; Novosibirsk State University, Novosibirsk, Russia.
Maxim Leonidovich FilipenkoLaboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia; Kazan Federal University, Kazan, Russia.
Institute of Chemical Biology and Fundamental Medicine · RUNovosibirsk State Medical University · RUKazan Federal University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genes ABCC8 and KCNJ11 have received intense focus in type 2 diabetes mellitus (T2DM) research over the past two decades. It has been hypothesized that the p.E23K (KCNJ11) mutation in the 11p15.1 region may play an important role in the development of T2DM. In 2009, Hamming et al. found that the p.1369A (ABCC8) variant may be a causal factor in the disease; therefore, in this study we performed a meta-analysis to evaluate the association between these single nucleotide polymorphisms (SNPs), including our original data on the Siberian population (1384 T2DM and 414 controls). We found rs5219 and rs757110 were not associated with T2DM in this population, and that there was linkage disequilibrium in Siberians (D'=0.766, r(2)= 0.5633). In addition, the haplotype rs757110[T]-rs5219[C] (p.23K/p.S1369) was associated with T2DM (OR = 1.52, 95% CI: 1.04-2.24). We included 44 original studies published by June 2014 in a meta-analysis of the p.E23K association with T2DM. The total OR was 1.14 (95% CI: 1.11-1.17) for p.E23K for a total sample size of 137,298. For p.S1369A, a meta-analysis was conducted on a total of 10 studies with a total sample size of 14,136 and pooled OR of 1.14 [95% CI (1.08-1.19); p = 2 x 10-6]. Our calculations identified causal genetic variation within the ABCC8/KCNJ11 region for T2DM with an OR of approximately 1.15 in Caucasians and Asians. Moreover, the OR value was not dependent on the frequency of p.E23K or p.S1369A in the populations.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseCohort StudiesDemographyDiabetes Mellitus, Type 2FemaleHaplotypesHumansKcnj11 ChannelLinkage DisequilibriumMaleMiddle AgedModels, GeneticOdds RatioPolymorphism, Single NucleotidePotassium Channels, Inwardly RectifyingABCC8 protein, humanKcnj11 ChannelPotassium Channels, Inwardly RectifyingSulfonylurea Receptors

Identifiers

PMID25955821
PMCPMC4425644
OpenAlexW366595533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.