Evidence map›Paper›PMID 27251080›Full record

SynthesisJournal of human hypertension2016

Utility of blood pressure genetic risk score in admixed Hispanic samples.

A H Beecham, L Wang, N Vasudeva, Z Liu, C Dong, P J Goldschmidt-Clermont, M A Pericak-Vance, T Rundek, D Seo, S H Blanton and 2 more

Open access · bronzeAbstract readMeta-AnalysisMulticenter Study
In one paragraph

Synthesis in Journal of human hypertension, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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 2 institutions in 1 country.

A H BeechamJohn P Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA.
L WangJohn P Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA.
N VasudevaJohn P Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA.
Z LiuJohn P Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA.
C DongDepartment of Neurology, University of Miami, Miller School of Medicine, Miami, FL, USA.
P J Goldschmidt-ClermontDivision of Cardiology, Department of Medicine, University of Miami, Miller School of Medicine, Miami, FL, USA.
M A Pericak-VanceJohn P Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA.
T RundekDepartment of Neurology, University of Miami, Miller School of Medicine, Miami, FL, USA.
D SeoDivision of Cardiology, Department of Medicine, University of Miami, Miller School of Medicine, Miami, FL, USA.
S H BlantonJohn P Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA.
R L SaccoDepartment of Neurology, University of Miami, Miller School of Medicine, Miami, FL, USA.
G W BeechamJohn P Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL, USA.
University of Miami · USDr. John T. Macdonald Foundation · US

Funding

Stroke Incidence and Risk Factors in a Tri-Ethnic RegionR37NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 2008 to 2014
$12.1M
Individualized Risk Stratification Using the Genomic ContributionR01HL102487 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BEECHAM, GARY WAYNE, SEO, DAVID M · 2010 to 2014
$3.7M
Genetics Determinants of Extreme Phenotypes of Subclinical AtherosclerosisK24NS062737 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA · 2009 to 2013
$975k
NHLBI NIH HHS R01 HL102487NINDS NIH HHS K24 NS062737NINDS NIH HHS R37 NS029993
6 · The paper itself

Abstract

Hypertension is strongly influenced by genetic factors. Although hypertension prevalence in some Hispanic sub-populations is greater than in non-Hispanic whites, genetic studies on hypertension have focused primarily on samples of European descent. A recent meta-analysis of 200 000 individuals of European descent identified 29 common genetic variants that influence blood pressure, and a genetic risk score derived from the 29 variants has been proposed. We sought to evaluate the utility of this genetic risk score in Hispanics. The sample set consists of 1994 Hispanics from 2 cohorts: the Northern Manhattan Study (primarily Dominican/Puerto Rican) and the Miami Cardiovascular Registry (primarily Cuban/South American). Risk scores for systolic and diastolic blood pressure were computed as a weighted sum of the risk alleles, with the regression coefficients reported in the European meta-analysis used as weights. Association of risk score with blood pressure was tested within each cohort, adjusting for age, age

Indexed as

Polymorphism, Single NucleotideAgedBlack or African AmericanBlood PressureFemaleFloridaGenotypeHispanic or LatinoHumansHypertensionIndians, North AmericanMaleMiddle AgedNew York CityPhenotypeRegistries

Identifiers

PMID27251080
PMCPMC6456256
OpenAlexW2418171893

What OpenQuestion holds

Textmetadata
LicenceTDM
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.