Evidence map›Paper›PMID 24735600›Full record

ArticleAmerican journal of hypertension2014

Associations of epithelial sodium channel genes with blood pressure changes and hypertension incidence: the GenSalt study.

Xueli Yang, Jiang He, Dongfeng Gu, James E Hixson, Jianfeng Huang, Dabeeru C Rao, Lawrence C Shimmin, Jichun Chen, Treva K Rice, Jianxin Li and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of hypertension, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Intercalated Cell ClC-K2 Channel Contributes to Systemic ClFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  2. Epithelial NaComprehensive Physiology · 2024
    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 6 institutions in 2 countries.

Xueli YangDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana; State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China;
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana; Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana;
Dongfeng GuState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; gudongfeng@vip.sina.com.
James E HixsonDepartment of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, Texas;
Jianfeng HuangState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China;
Dabeeru C RaoDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri.
Lawrence C ShimminDepartment of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, Texas;
Jichun ChenState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China;
Treva K RiceDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri.
Jianxin LiState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China;
Karen SchwanderDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri.
Tanika N KellyDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana;
Fu Wai Hospital · CNWashington University in St. Louis · USTulane University · USChinese Academy of Medical Sciences & Peking Union Medical College · CNThe University of Texas at Austin · USThe University of Texas Health Science Center at Houston · US

Funding

Genetic Epidemiology of Blood Pressure InterventionU01HL072507 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI HE, JIANG · 2002 to 2008
$7.6M
Family-Based Genome-wide Association Study for Salt-Sensitivity of Blood PressureR01HL090682 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI HE, JIANG · 2008 to 2011
$2.8M
Sodium Sensitivity and Risk of HypertensionR01HL087263 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI HE, JIANG · 2007 to 2011
$2.8M
Research Training in Gene-Environment Interaction in ChinaD43TW009107 · FIC · TULANE UNIVERSITY OF LOUISIANA · PI GU, DONGFENG, HE, JIANG · 2012 to 2016
$1.1M
FIC NIH HHS D43 TW009107FIC NIH HHS D43TW009107NHLBI NIH HHS R01 HL087263NHLBI NIH HHS R01HL087263NHLBI NIH HHS R01 HL090682NHLBI NIH HHS R01HL090682NHLBI NIH HHS U01 HL072507NHLBI NIH HHS U01HL072507
6 · The paper itself

Abstract

backgroundWe examined the associations of epithelial sodium channel (ENaC) genes with blood pressure (BP) changes and hypertension incidence in a longitudinal family study.

methodsA total of 2,755 Han Chinese participants of the Genetic Epidemiology Network of Salt Sensitivity (GenSalt) baseline examination were eligible for this study. The associations of 43 tag single nucleotide polymorphisms (SNPs) in ENaC genes with BP changes and hypertension incidence were assessed using mixed models to account for the correlations of repeated measures among individuals and within families. A genotype by time interaction term was used to model differences in longitudinal BP change according to genotype over time. Gene-based analyses were conducted using the truncated product method. The Bonferroni method was used to adjust for multiple testing in all analyses.

resultsDuring an average of 7.4 years follow-up, systolic BP (SBP) and diastolic BP (DBP) increased, and approximately 33% of participants developed hypertension. SCNN1A SNP rs11064153 and SCNN1G SNP rs4401050 were significantly associated with longitudinal changes in SBP after adjustment for multiple testing (P interaction = 5.8×10(-4) and 0.001, respectively). Similar but nonsignificant trends were observed for the associations between both rs11064153 and rs4401050 and DBP changes (P interaction = 0.024 and 0.005, respectively) and between rs11604153 and hypertension incidence (P = 0.02). Gene-based analyses also supported the overall association of SCNN1G with longitudinal changes in SBP (P = 2.0×10(-4)).

conclusionsOur findings indicated that SCNN1A and SCNN1G may contribute to BP changes over time in the Han Chinese population. Replication of these findings is warranted.

Indexed as

Polymorphism, Single NucleotideAdultAgedAsian PeopleBlood PressureChinaEpithelial Sodium ChannelsFemaleGenetic Predisposition to DiseaseHumansHypertensionIncidenceLongitudinal StudiesMaleMiddle AgedPhenotypeEpithelial Sodium ChannelsSCNN1A protein, humanSCNN1G protein, humanblood pressureblood pressure changesepithelial sodium channel (ENaC)hypertensionsingle nucleotide polymorphisms.

Identifiers

PMID24735600
PMCPMC4263940
OpenAlexW2002044934

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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.