Evidence map›Paper›PMID 30169531›Full record

ArticlePloS one2018

KCNJ11 variants and their effect on the association between serum potassium and diabetes risk in the Atherosclerosis Risk in Communities (ARIC) Study and Jackson Heart Study (JHS) cohorts.

Ranee Chatterjee, Clemontina A Davenport, Laura M Raffield, Nisa Maruthur, Leslie Lange, Elizabeth Selvin, Kenneth Butler, Hsin-Chieh Yeh, James G Wilson, Adolfo Correa and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

12 authors at 5 institutions in 1 country.

Ranee ChatterjeeDuke University, Durham, NC, United States of America.ORCID 0000-0002-4294-8081
Clemontina A DavenportDuke University, Durham, NC, United States of America.
Laura M RaffieldUniversity of North Carolina, Chapel Hill, NC, United States of America.
Nisa MaruthurJohns Hopkins University,Baltimore, MD, United States of America.
Leslie LangeUniversity of Colorado, Denver,CO, United States of America.
Elizabeth SelvinJohns Hopkins University,Baltimore, MD, United States of America.
Kenneth ButlerUniversity of Mississippi Medical Center, Jackson, MS, United States of America.
Hsin-Chieh YehJohns Hopkins University,Baltimore, MD, United States of America.
James G WilsonUniversity of Mississippi Medical Center, Jackson, MS, United States of America.
Adolfo CorreaUniversity of Mississippi Medical Center, Jackson, MS, United States of America.ORCID 0000-0002-9501-600X
David EdelmanDuke University, Durham, NC, United States of America.ORCID 0000-0001-7112-6151
Elizabeth HauserDuke University, Durham, NC, United States of America.
Duke University · USJohns Hopkins University · USUniversity of Mississippi Medical Center · USUniversity of Colorado Denver · USUniversity of North Carolina at Chapel Hill · US

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI GRANGER, JOEY P. · 2016 to 2025
$38.2M
JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI AHIMA, REXFORD S. · 2013 to 2017
$9.7M
Renal Genomics CoreP30DK096493 · NIDDK · DUKE UNIVERSITY · PI FOSTER, MARY H., SVETKEY, LAURA P · 2012 to 2016
$5.9M
Duke CTSA (Composite)KL2TR001115 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, KRAFT, MONICA · 2013 to 2017
$5.1M
The Genetic Epidemiology of Heart, Lung, and Blood TraitsTraining Grant (GenHLB)T32HL129982 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christy Leigh Avery, KAREN L. MOHLKE · 2016 to 2026
$3.8M
NCATS NIH HHS KL2 TR001115NCATS NIH HHS UL1 TR001117NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS T32 HL129982NIDDK NIH HHS P30 DK079637NIDDK NIH HHS P30 DK096493NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

backgroundIn the Atherosclerosis Risk in Communities (ARIC) Study and Jackson Heart Study (JHS) cohorts, serum potassium (K) is an independent predictor of diabetes risk, particularly among African-American participants. Experimental studies show that serum K levels affects insulin secretion. The KCNJ11 gene encodes for a K channel that regulates insulin secretion and whose function is affected by serum K levels. Variants in KCNJ11 are associated with increased diabetes risk. We hypothesized that there could be a gene-by-environment interaction between KCNJ11 variation and serum K on diabetes risk.

methodsEvaluating a combined cohort of ARIC and JHS participants, we sought to determine if KCNJ11 variants are risk factors for diabetes; and if KCNJ11 variants modify the association between serum K and diabetes risk. Among participants without diabetes at baseline, we performed multivariable logistic regression to determine the effect of serum K, KCNJ11 variants, and their interactions on the odds of incident diabetes mellitus over 8-9 years in the entire cohort and by race.

resultsOf 11,812 participants, 3220 (27%) participants developed diabetes. 48% and 47% had 1 or 2 diabetes risk alleles of rs5215 and rs5219, respectively. Caucasians had higher proportions of these risk alleles compared to African Americans (60% vs 17% for rs5215 and 60% vs 13% for rs5219, p<0.01). Serum K was a significant independent predictor of incident diabetes. Neither rs5215 nor rs5219 was associated with incident diabetes. In multivariable models, we found no statistically significant interactions between race and either rs5215 or rs5219 (P-values 0.493 and 0.496, respectively); nor between serum K and either rs5215 or rs5219 on odds of incident diabetes (P-values 0.534 and 0.687, respectively).

conclusionIn this cohort, rs5215 and rs5219 of KCNJ11 were not significant predictors of incident diabetes nor effect modifiers of the association between serum K and incident diabetes.

Indexed as

AtherosclerosisBiomarkersBlack or African AmericanCohort StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGenetic VariationHumansIncidenceKcnj11 ChannelMaleMiddle AgedPotassiumPotassium Channels, Inwardly RectifyingProspective StudiesBiomarkersKcnj11 ChannelPotassiumPotassium Channels, Inwardly Rectifying

Identifiers

PMID30169531
PMCPMC6118367
OpenAlexW2889445700

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.