Evidence map›Paper›PMID 27418245›Full record

ArticleAmerican journal of hypertension2016

Associations of Variants in the CACNA1A and CACNA1C Genes With Longitudinal Blood Pressure Changes and Hypertension Incidence: The GenSalt Study.

Zunsong Hu, Fangchao Liu, Mengting Li, Jiang He, Jianfeng Huang, Dabeeru C Rao, James E Hixson, Charles Gu, Tanika N Kelly, Shufeng Chen and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of hypertension, 2016. 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
0.7field-weighted citation impact, top 25% 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, 16 citations in OpenAlex.

  1. Trial
  2. Article
  3. International journal of molecular sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors at 3 institutions in 2 countries.

Zunsong HuDepartment of Epidemiology, 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.
Fangchao LiuDepartment of Epidemiology, 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.
Mengting LiDepartment of Epidemiology, 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, USA.
Jianfeng HuangDepartment of Epidemiology, 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.
James E HixsonDepartment of Epidemiology, Human Genetics and Environmental Sciences, University of Texas School of Public Health , Houston, Texas , USA.
Charles GuDivision of Biostatistics, Washington University School of Medicine , St. Louis, Missouri , USA.
Tanika N KellyDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine , New Orleans, Louisiana , USA.
Shufeng ChenDepartment of Epidemiology, 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.
Dongfeng GuDepartment of Epidemiology, 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.
Xueli YangDepartment of Epidemiology, 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.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNTulane University · 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
NHLBI NIH HHS R01 HL087263NHLBI NIH HHS R01 HL090682NHLBI NIH HHS U01 HL072507
6 · The paper itself

Abstract

backgroundWe aimed to examine the associations of voltage-dependent calcium-channel genes CACNA1A and CACNA1C with blood pressure (BP) changes and hypertension incidence in a longitudinal family study.

methodsA total of 1,768 Han Chinese participants from the Genetic Epidemiology Network of Salt Sensitivity (GenSalt) follow-up study were eligible for the current study. Nine BP measurements were obtained at baseline and each follow-up visit using a random-zero sphygmomanometer. Mixed-effect models were used to assess additive associations of 176 tag single-nucleotide polymorphisms (SNPs) in CACNA1A and CACNA1C with longitudinal BP changes and hypertension incidence. The truncated product method was used for gene-based analysis. The Bonferroni correction was used for adjustment of multiple testing.

resultsDuring an average of 7.2 years of follow-up, 512 (32.1%) participants developed hypertension. CACNA1A SNP rs8182538 was significantly associated with longitudinal diastolic BP (DBP) change after Bonferroni correction ( Pinteraction = 9.90×10 -5 ), with mean DBP increases of 0.85, 1.03, and 1.19mm Hg per year for participants with genotypes C/C , C/T , and T/T , respectively. A similar trend was observed for the association of rs8182538 with systolic BP (SBP) change. In the gene-based analysis, CACNA1A and CACNA1C were significantly associated with DBP change ( P = 2.0×10 -5 ) and SBP change ( P = 1.4×10 -4 ) after Bonferroni correction, respectively. The gene-based associations remained significant after removing rs8182538 within CACNA1A and rs758116 within CACNA1C in sensitivity analysis.

conclusionsOur findings indicated that CACNA1A and CACNA1C might contribute to BP changes over time in Han Chinese population. Further replication of these findings is warranted.

Indexed as

Calcium ChannelsCalcium Channels, L-TypeHypertensionBlood PressureBlood Pressure DeterminationCalcium Channels, N-TypeChinaFollow-Up StudiesHumansIncidencePolymorphism, Single NucleotideCACNA1A protein, humanCACNA1C protein, humanCalcium ChannelsCalcium Channels, L-TypeCalcium Channels, N-Type

Identifiers

PMID27418245
PMCPMC5055736
OpenAlexW2461375512

What OpenQuestion holds

Textmetadata
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.