Evidence map›Paper›PMID 22704111›Full record

Trial reportThe Journal of urology2012

Pilot genome-wide association search identifies potential loci for risk of erectile dysfunction in type 1 diabetes using the DCCT/EDIC study cohort.

James M Hotaling, Daryl R Waggott, Jack Goldberg, Gail Jarvik, Andrew D Paterson, Patricia A Cleary, John Lachin, Aruna Sarma, Hunter Wessells, DCCT/EDIC Research Group

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The Journal of urology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. The Genetic Contribution to Type 1 Diabetes.Current diabetes reports · 2019
    Review
  7. Article
  8. [Genetic aspects of erectile dysfunction].Der Urologe. Ausg. A · 2015
    Review
  9. 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

10 authors at 6 institutions in 2 countries.

James M HotalingDepartment of Urology, University of Washington School of Medicine, Seattle, Washington 98195, USA.
Daryl R Waggott
Jack Goldberg
Gail Jarvik
Andrew D Paterson
Patricia A Cleary
John Lachin
Aruna Sarma
Hunter Wessells
DCCT/EDIC Research Group
University of Washington · USGeorge Washington University · USLunenfeld-Tanenbaum Research Institute · CAUniversity of Michigan–Ann Arbor · USUniversity of Toronto · CAUniversity of Washington Medical Center · US

Funding

Uro-EDICII: Risk and Progression of Urologic Complications in Type 1- DiabetesR01DK083927 · NIDDK · UNIVERSITY OF WASHINGTON · PI SARMA, ARUNA V, WESSELLS, HUNTER · 2009 to 2013
$2.7M
Multi-disciplinary Training in Benign UrologyT32DK007779 · NIDDK · UNIVERSITY OF WASHINGTON · PI WESSELLS, HUNTER · 1999 to 2016
$1.3M
NIDDK NIH HHS R01 5R01DK083927-03NIDDK NIH HHS R01 DK083927NIDDK NIH HHS T32 DK007779NIDDK NIH HHS T-32 DK007779-09
6 · The paper itself

Abstract

purposeWe identified genetic predictors of diabetes associated erectile dysfunction using genome-wide and candidate gene approaches in a cohort of men with type 1 diabetes. MATERIALS AND

methodsWe examined 528 white men with type 1 diabetes, including 125 with erectile dysfunction, from DCCT (Diabetes Control and Complications Trial) and its observational followup, the EDIC (Epidemiology of Diabetes Interventions and Complications) study. Erectile dysfunction was identified from a single International Index of Erectile Function item. A Human1M BeadChip (Illumina®) was used for genotyping. A total of 867,125 single nucleotide polymorphisms were subjected to analysis. Whole genome and candidate gene approaches were used to test the hypothesis that genetic polymorphisms may predispose men with type 1 diabetes to erectile dysfunction. Univariate and multivariate models were used, controlling for age, HbA1c, diabetes duration and prior randomization to intensive or conventional insulin therapy during DCCT. A stratified false discovery rate was used to perform the candidate gene approach.

resultsTwo single nucleotide polymorphisms located on chromosome 3 in 1 genomic loci were associated with erectile dysfunction with p <1 × 10(-6), including rs9810233 with p = 7 × 10(-7) and rs1920201 with p = 9 ×10(-7). The nearest gene to these 2 single nucleotide polymorphisms is ALCAM. Genetic association results at these loci were similar on univariate and multivariate analysis. No candidate genes met the criteria for statistical significance.

conclusionsTwo single nucleotide polymorphisms, rs9810233 and rs1920101, which are 25 kb apart, are associated with erectile dysfunction, although they do not meet the standard genome-wide association study significance criterion of p <5 × 10(-8). Other studies with larger sample sizes are required to determine whether ALCAM represents a novel gene in the pathogenesis of diabetes associated erectile dysfunction.

Indexed as

Genetic LociGenome-Wide Association StudyActivated-Leukocyte Cell Adhesion MoleculeAllelesAntigens, CDCell Adhesion Molecules, NeuronalChromosomes, Human, Pair 3Cohort StudiesDiabetes Mellitus, Type 1Erectile DysfunctionFetal ProteinsGenetic Predisposition to DiseaseGenotypeHumansHypoglycemic AgentsInsulinActivated-Leukocyte Cell Adhesion MoleculeALCAM protein, humanAntigens, CDCell Adhesion Molecules, NeuronalFetal ProteinsHypoglycemic AgentsInsulin

Identifiers

PMID22704111
PMCPMC3764461
OpenAlexW2047112438

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.