Evidence map›Paper›PMID 27583258›Full record

ArticleInternational journal of diabetology & vascular disease research

Genetic Determinants of Type 2 Diabetes in Asians.

Q Qi, X Wang, G Strizich, T Wang

Open access · diamondAbstract read
In one paragraph

Article in International journal of diabetology & vascular disease research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Q QiDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
X WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
G StrizichDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
T WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Albert Einstein College of Medicine · US

Funding

Statistical Method for Identifying Genetic Modifiers of Conotruncal Heart DeR21HL118637 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WANG, TAO · 2013 to 2014
$541k
NHLBI NIH HHS R21 HL118637
6 · The paper itself

Abstract

Type 2 diabetes (T2D) has become a major health problem throughout the world and the epidemic is particularly severe in Asian countries. Compared with European populations, Asians tend to develop diabetes at a younger age and at much higher incidence rates given the same amount of weight gain. Genome-wide association studies (GWAS) have identified over 70 loci associated with T2D. Although the majority of GWAS results were conducted in populations of European ancestry, recent GWAS in Asians have made important contributions to the identification of T2D susceptibility loci. These studies not only confirmed T2D susceptibility loci initially identified in European populations, but also identified novel susceptibility loci that provide new insights into the pathophysiology of diseases. In this article, we review GWAS results of T2D conducted in East and South Asians and compare them to those of European populations. Currently identified T2D genetic variants do not appear to explain the phenomenon that Asians are more susceptible to T2D than European populations, suggesting further studies in Asian populations are needed.

Identifiers

PMID27583258
PMCPMC5003525
OpenAlexW2559333062

What OpenQuestion holds

Textmetadata
LicenceTDM
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.