Evidence map›Paper›PMID 22498015›Full record

ReviewTrends in cardiovascular medicine2011

Genetic predictors for cardiovascular disease in hispanics.

Lu Qi, Hannia Campos

Abstract readReview
In one paragraph

Review in Trends in cardiovascular medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Genes · 2021
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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

2 authors at 2 institutions in 1 country.

Lu QiDepartment of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA. nhlqi@channing.harvard.edu
Hannia Campos
Brigham and Women's Hospital · USHarvard University · US

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI GREENBERG, ANDREW S, PERISSI, VALENTINA · 1992 to 2021
$25.0M
Genetic Markers of CHD in Type 2 DiabetesR01HL071981 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QI, LU · 2003 to 2012
$4.9M
NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R01 HL71981NIDDK NIH HHS DK46200NIDDK NIH HHS P30 DK046200
6 · The paper itself

Abstract

A less favorable cardiovascular risk factor profile but paradoxically lower cardiovascular morbidity and mortality have been observed in Hispanics--a pattern often referred to as the Hispanic paradox. It has been proposed that the specific genetic susceptibility of this admixed population and gene-environment interactions may partly explain the paradox. During the past few years, there have been major advances in the identification of genetic risk factors using genome-wide association studies (GWAS) for cardiovascular disease, especially in Caucasians. However, no GWAS of cardiovascular disease have been reported in Hispanics. In the Costa Rican Heart Study, we reported both the consistency and disparity of genetic effects on risk of coronary heart disease (CHD) between Hispanics and other ethnic groups. We demonstrated that the improvement in the identified genetic markers on discrimination of CHD in Hispanics was modest. Future genetic research on Hispanics should consider the diversity in genetic structure, lifestyle, and socioeconomics among various subpopulations and comprehensively evaluate potential gene-environment interactions in relation to cardiovascular risk.

Indexed as

Genetic MarkersCardiovascular DiseasesCosta RicaEthnicityGene-Environment InteractionGenetic Predisposition to DiseaseHispanic or LatinoHumansLife StylePhenotypeRisk AssessmentRisk FactorsUnited StatesGenetic Markers

Identifiers

PMID22498015
PMCPMC3326380
OpenAlexW2038243242

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.