Evidence map›Paper›PMID 21647700›Full record

SynthesisDiabetologia2011

Genome-wide association and meta-analysis in populations from Starr County, Texas, and Mexico City identify type 2 diabetes susceptibility loci and enrichment for expression quantitative trait loci in top signals.

J E Below, E R Gamazon, J V Morrison, A Konkashbaev, A Pluzhnikov, P M McKeigue, E J Parra, S C Elbein, D M Hallman, D L Nicolae and 4 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Diabetologia, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 9 pooled it
9.2field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 9 syntheses or guidelines pooled it, 115 citations in OpenAlex.

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  17. IL-34 and coronary heart disease complicated with diabetes mellitus.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
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14 more citing papers are in PubMed but not listed here.

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

14 authors at 6 institutions in 4 countries.

J E BelowDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
E R Gamazon
J V Morrison
A Konkashbaev
A Pluzhnikov
P M McKeigue
E J Parra
S C Elbein
D M Hallman
D L Nicolae
G I Bell
M Cruz
N J Cox
C L Hanis
University of Chicago · USThe University of Texas Health Science Center at Houston · USHospital de Especialidades · MXUniversity of Edinburgh · GBUniversity of Toronto · CAWake Forest University · US

Funding

TRANSGENIC COREP60DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI BELL, GRAEME I · 1985 to 2012
$25.5M
TRANSLATIONAL RESEARCH UNIVERSITY OF CHICAGO: CLINICAL TRIALSUL1RR024999 · NCRR · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2007 to 2011
$25.3M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Matthew J Brady · 2013 to 2026
$20.9M
PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Genome-wide Association Mapping of Metabolic, Lung and Cardiovascular PhenotypesU01HL084715 · NHLBI · UNIVERSITY OF CHICAGO · PI COX, NANCY J · 2006 to 2008
$836k
Central and Peripheral Autonomic Responses in Irritable Bowel SyndromeK23DK073451 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TILLISCH, KIRSTEN · 2006 to 2010
$625k
NCRR NIH HHS T32 UL1 RR024999NCRR NIH HHS UL1 RR024999NHGRI NIH HHS HHSN268200782096CNHLBI NIH HHS HL084715NHLBI NIH HHS U01 HL084715NIDDK NIH HHS DK073451NIDDK NIH HHS DK20595NIDDK NIH HHS K23 DK073451NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P60 DK020595NIGMS NIH HHS T32 GM007197NIGMS NIH HHS T32GM007197
6 · The paper itself

Abstract

aims/hypothesisWe conducted genome-wide association studies (GWASs) and expression quantitative trait loci (eQTL) analyses to identify and characterise risk loci for type 2 diabetes in Mexican-Americans from Starr County, TX, USA.

methodUsing 1.8 million directly interrogated and imputed genotypes in 837 unrelated type 2 diabetes cases and 436 normoglycaemic controls, we conducted Armitage trend tests. To improve power in this population with high disease rates, we also performed ordinal regression including an intermediate class with impaired fasting glucose and/or glucose tolerance. These analyses were followed by meta-analysis with a study of 967 type 2 diabetes cases and 343 normoglycaemic controls from Mexico City, Mexico.

resultThe top signals (unadjusted p value <1 × 10(-5)) included 49 single nucleotide polymorphisms (SNPs) in eight gene regions (PER3, PARD3B, EPHA4, TOMM7, PTPRD, HNT [also known as RREB1], LOC729993 and IL34) and six intergenic regions. Among these was a missense polymorphism (rs10462020; Gly639Val) in the clock gene PER3, a system recently implicated in diabetes. We also report a second signal (minimum p value 1.52 × 10(-6)) within PTPRD, independent of the previously implicated SNP, in a population of Han Chinese. Top meta-analysis signals included known regions HNF1A and KCNQ1. Annotation of top association signals in both studies revealed a marked excess of trans-acting eQTL in both adipose and muscle tissues. CONCLUSIONS/

interpretationIn the largest study of type 2 diabetes in Mexican populations to date, we identified modest associations of novel and previously reported SNPs. In addition, in our top signals we report significant excess of SNPs that predict transcript levels in muscle and adipose tissues.

Indexed as

Genome-Wide Association StudyAdultDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseHumansMaleMexicoMiddle AgedQuantitative Trait LociTexas

Identifiers

PMID21647700
PMCPMC3761075
OpenAlexW2128970479

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.