Evidence map›Paper›PMID 25275628›Full record

ArticlePloS one2014

Sequence analysis of six blood pressure candidate regions in 4,178 individuals: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) targeted sequencing study.

Alanna C Morrison, Joshua C Bis, Shih-Jen Hwang, Georg B Ehret, Thomas Lumley, Kenneth Rice, Donna Muzny, Richard A Gibbs, Eric Boerwinkle, Bruce M Psaty and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Rare variants: data types and analysis strategies.Annals of translational medicine · 2021
    Article
  4. Article
  5. Association betweenBMJ open · 2018
    Article
  6. Advances in the Genetics of Hypertension: The Effect of Rare Variants.International journal of molecular sciences · 2018
    Review
  7. Review
  8. Association of CYP17A1 Genetic Polymorphisms and Susceptibility to Essential Hypertension in the Southwest Han Chinese Population.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  9. Article
  10. 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 8 institutions in 2 countries.

Alanna C MorrisonUniversity of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Joshua C BisCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Shih-Jen HwangThe Framingham Heart Study, Framingham, Massachusetts, United States of America; The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Georg B EhretDepartment of Specialties of Medicine, Geneva University Hospitals, Geneva, Switzerland; Center for Complex Disease Genomics, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Thomas LumleyDepartment of Statistics, University of Auckland, Auckland, New Zealand.
Kenneth RiceCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Donna MuznyHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America.
Eric BoerwinkleUniversity of Texas Health Science Center at Houston, Houston, Texas, United States of America; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America.
Bruce M PsatyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America; Department of Health Services, University of Washington, Seattle, Washington, United States of America; Group Health Research Institute, Group Health Cooperative, Seattle, Washington, United States of America.
Aravinda ChakravartiCenter for Complex Disease Genomics, Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Daniel LevyThe Framingham Heart Study, Framingham, Massachusetts, United States of America; The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
University of Washington · USBaylor College of Medicine · USThe University of Texas Health Science Center at Houston · USFramingham Heart Study · USJohns Hopkins Medicine · USJohns Hopkins University · USNational Heart Lung and Blood Institute · USUniversity of Auckland · NZ

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
WGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
Hormonal trajectories in agingR01AG027058 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, ANNE R · 2006 to 2009
$1.2M
SLEEP AND ENTRAINMENT OF SCN FUNCTIONR01HL064278 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STROHL, KINGMAN PERKINS · 1999 to 2002
$871k
Predictors of Alzheimers Disease in Mild Cognitive ImpairmentR56AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2007 to 2007
$482k
NHGRI NIH HHS U54 HG003273NHLBI NIH HHS 5RC2HL102419NHLBI 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 HHSN268201200036CNHLBI NIH HHS HL080295NHLBI NIH HHS HL087652NHLBI NIH HHS HL105756NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085084NHLBI NIH HHS N01 HC085085NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC-15103NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N01-HC-35129NHLBI NIH HHS N01-HC-45133NHLBI NIH HHS N01 HC-55222NHLBI NIH HHS N01-HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85080NHLBI NIH HHS N01-HC-85081NHLBI NIH HHS N01-HC-85082NHLBI NIH HHS N01-HC-85083NHLBI NIH HHS N01-HC-85084NHLBI NIH HHS N01-HC-85085NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS N01-HC-85239NHLBI NIH HHS N02-HL-6-4278NHLBI NIH HHS R01 HL080295NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL105756NHLBI NIH HHS RC2 HL102419NHLBI NIH HHS U01 HL080295NIA NIH HHS AG-023629NIA NIH HHS AG-027058NIA NIH HHS AG-15928NIA NIH HHS AG-20098NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058NIA NIH HHS R56 AG020098NIA NIH HHS R56 AG023629
6 · The paper itself

Abstract

backgroundGenome-wide association studies (GWAS) identified multiple loci for blood pressure (BP) and hypertension. Six genes--ATP2B1, CACNB2, CYP17A1, JAG1, PLEKHA7, and SH2B3--were evaluated for sequence variation with large effects on systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP). METHODS AND

resultsTargeted genomic sequence was determined in 4,178 European ancestry participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Common variants (≥50 minor allele copies) were evaluated individually and rare variants (minor allele frequency, MAF≤1%) were aggregated by locus. 464 common variants were identified across the 6 genes. An upstream CYP17A1 variant, rs11191416 (MAF = 0.09), was the most significant association for SBP (P = 0.0005); however the association was attenuated (P = 0.0469) after conditioning on the GWAS index single nucleotide polymorphism (SNP). A PLEKHA7 intronic variant was the strongest DBP association (rs12806040, MAF = 0.007, P = 0.0006) and was not in LD (r² = 0.01) with the GWAS SNP. A CACNB2 intronic SNP, rs1571787, was the most significant association with PP (MAF = 0.27, P = 0.0003), but was not independent from the GWAS SNP (r² = 0.34). Three variants (rs6163 and rs743572 in the CYP17A1 region and rs112467382 in PLEKHA7) were associated with BP traits (P<0.001). Rare variation, aggregately assessed in the 6 regions, was not significantly associated with BP measures.

conclusionSix targeted gene regions, previously identified by GWAS, did not harbor novel variation with large effects on BP in this sample.

Indexed as

Sequence AnalysisAgingBlood PressureCohort StudiesHeartHumans

Identifiers

PMID25275628
PMCPMC4183565
OpenAlexW1993080870

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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.