Evidence map›Paper›PMID 25424718›Full record

ArticleAmerican journal of hypertension2015

Associations of Endothelial System Genes With Blood Pressure Changes and Hypertension Incidence: The GenSalt Study.

Fangchao Liu, Jiang He, Dongfeng Gu, Dabeeru C Rao, Jianfeng Huang, James E Hixson, Cashell E Jaquish, Jichun Chen, Changwei Li, Xueli Yang and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of hypertension, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 11 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

14 authors at 4 institutions in 2 countries.

Fangchao LiuDepartment of Evidence Based Medicine, 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; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA;
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA;
Dongfeng GuDepartment of Evidence Based Medicine, 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;
Dabeeru C RaoDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA;
Jianfeng HuangDepartment of Evidence Based Medicine, 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;
James E HixsonDepartment of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, Texas, USA;
Cashell E JaquishDivision of Prevention and Population Sciences, National Heart, Lung, Blood Institute, Bethesda, Maryland, USA.
Jichun ChenDepartment of Evidence Based Medicine, 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;
Changwei LiDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA;
Xueli YangDepartment of Evidence Based Medicine, 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;
Jianxin LiDepartment of Evidence Based Medicine, 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;
Treva K RiceDivision of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, USA;
Lawrence C ShimminDepartment of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health, Houston, Texas, USA;
Tanika N KellyDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA; tkelly@tulane.edu.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNTulane University · USThe University of Texas Health Science Center at Houston · USWashington University in St. Louis · 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 used single-marker and novel gene-based methods to examine the associations of endothelial system genes with blood pressure (BP) changes and hypertension in a longitudinal family study.

methodsThe Genetic Epidemiology Network of Salt Sensitivity follow-up study was conducted among 1,768 Chinese participants from 633 families. Nine BP measurements were obtained at baseline and at 2 follow-up visits using a random-zero sphygmomanometer. Mixed-effect models were used to assess the additive associations of 206 single-nucleotide polymorphisms (SNPs) in 15 endothelial system genes with longitudinal BP changes and hypertension incidence. Gene-based analyses were conducted using the truncated product method. The Bonferroni method was used to adjust for multiple testing in all analyses.

resultsAmong those free from hypertension at baseline, 512 (32.1%) developed hypertension during the average 7.2 years of follow-up. In single-marker analyses, each copy of the minor alleles of correlated SELE markers rs4656704, rs6427212, and rs5368 were associated with increased risk of developing hypertension (P for trend = 1.48 × 10(-4), 6.69 × 10(-5), and 7.64 × 10(-5), respectively). In addition, the minor allele of SELE marker rs3917436 was associated with smaller diastolic BP (DBP) increases over time. Results of gene-based analyses confirmed associations of the SELE gene with the longitudinal BP phenotypes (P values < 1.00 × 10(-6) for DBP change and hypertension incidence). Furthermore, the DDAH1 and COL18A1 genes were associated with systolic BP change (P < 1.00 × 10(-6) and P = 4.00 × 10(-6), respectively), while EDNRA was associated with hypertension incidence (P = 2.39 × 10(-4)).

conclusionsThe current study provides strong evidence of a role of endothelial system genes in BP progression and hypertension incidence.

Indexed as

HypertensionAdultAmidohydrolasesBlood PressureChinaCollagen Type XVIIIEndothelial CellsE-SelectinFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPolymorphism, Single NucleotideReceptor, Endothelin AAmidohydrolasesCollagen Type XVIIIdimethylargininaseE-SelectinReceptor, Endothelin ASELE protein, humanSodium, Dietaryblood pressure changescommon variantsendothelialhypertension.

Identifiers

PMID25424718
PMCPMC4447818
OpenAlexW2317454250

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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.