Evidence map›Paper›PMID 26158673›Full record

ArticlePloS one2015

Genetic Determinants of Metabolism and Benign Prostate Enlargement: Associations with Prostate Volume.

Ayush Giri, Todd L Edwards, Saundra S Motley, Susan H Byerly, Jay H Fowke

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Ayush GiriInstitute for Medicine and Public Health, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States of America.
Todd L EdwardsInstitute for Medicine and Public Health, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States of America; Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, United States of America; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America.
Saundra S MotleyDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America.
Susan H ByerlyDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America.
Jay H FowkeInstitute for Medicine and Public Health, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, United States of America; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America; Department of Surgical Urology, Vanderbilt University Medical Center, Nashville, TN, United States of America.
Vanderbilt University Medical Center · US

Funding

Genetic and Endocrine Pathways Linking Obesity with Prostate CancerR01CA121060 · NCI · VANDERBILT UNIVERSITY · PI FOWKE, JAY H. · 2007 to 2011
$2.8M
Biomarkers of Obesity, Prostate Tissue Inflammation, and BPH ProgressionR01DK087962 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FOWKE, JAY H. · 2010 to 2013
$1.4M
NCI NIH HHS R01 CA121060NCI NIH HHS R01CA121060NIDDK NIH HHS R01 DK087962NIDDK NIH HHS R01DK087962
6 · The paper itself

Abstract

Prostate enlargement leading to clinical benign prostatic hyperplasia (BPH) is associated with metabolic dysregulation and obesity. The genetic basis of this association is unclear. Our objective was to evaluate whether single nucleotide polymorphisms (SNPs) previously associated with metabolic disorders are also associated with prostate volume (PV). Participants included 876 men referred for prostate biopsy and found to be prostate cancer free. PV was measured by transrectal ultrasound. Samples were genotyped using the Illumina Cardio-MetaboChip platform. Multivariable adjusted linear regression models were used to evaluate SNPs (additive coding) in relation to natural-log transformed (log) PV. We compared SNP-PV results from biopsy-negative men to 442 men with low-grade prostate cancer with similar levels of obesity and PV. Beta-coefficients from the discovery and replication samples were then aggregated with fixed effects inverse variance weighted meta-analysis. SNP rs11736129 (near the pseudo-gene LOC100131429) was significantly associated with log-PV (beta: 0.16, p-value 1.16x10(-8)) after adjusting for multiple testing. Other noteworthy SNPs that were nominally associated (p-value < 1x10(-4)) with log-PV included rs9583484 (intronic SNP in COL4A2), rs10146527 (intronic SNP in NRXN3), rs9909466 (SNP near RPL32P31), and rs2241606 (synonymous SNP in SLC12A7). We found several SNPs in metabolic loci associated with PV. Further studies are needed to confirm our results and elucidate the mechanism between these genetic loci, PV, and clinical BPH.

Indexed as

AdultAgedCollagen Type IVGenetic LociGenotypeHumansK Cl- CotransportersLinear ModelsMaleMiddle AgedNerve Tissue ProteinsObesityOrgan SizePolymorphism, Single NucleotideProstateProstatic HyperplasiaCOL4A2 protein, humanCollagen Type IVK Cl- CotransportersNerve Tissue Proteinsneurexin IIIalpharibosomal protein L32Ribosomal ProteinsSLC12A7 protein, humanSodium ChannelsSymporters

Identifiers

PMID26158673
PMCPMC4497718
OpenAlexW808161763

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.