Evidence map›Paper›PMID 21293138›Full record

ArticleHuman heredity2011

Genome-wide linkage screen for systolic blood pressure in the Veterans Administration Genetic Epidemiology Study (VAGES) of Mexican-Americans and confirmation of a major susceptibility locus on chromosome 6q14.1.

Sobha Puppala, Dawn K Coletta, Jennifer Schneider, Shirley L Hu, Vidya S Farook, Thomas D Dyer, Rector Arya, John Blangero, Ravindranath Duggirala, Ralph A DeFronzo and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Human heredity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 3 institutions in 1 country.

Sobha PuppalaSouthwest Foundation for Biomedical Research, San Antonio, Texas, USA.
Dawn K Coletta
Jennifer Schneider
Shirley L Hu
Vidya S Farook
Thomas D Dyer
Rector Arya
John Blangero
Ravindranath Duggirala
Ralph A DeFronzo
Christopher P Jenkinson
The University of Texas Health Science Center at San Antonio · USArizona State University · USTexas Biomedical Research Institute · US

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
NIDDM SUSCEPTIBILITY GENES IN MEXICAN-AMERICANSR01DK047482 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 1993 to 2010
$5.4M
Identification of Prediabetes Genes by Expression Linkage AnalysisR01DK079195 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JENKINSON, CHRISTOPHER P · 2008 to 2013
$2.5M
GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANSR01DK053889 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DUGGIRALA, RAVINDRANATH · 1998 to 2011
$2.3M
Type 2 Diabetes Gene Discovery Linked to 3p in HispanicsR01DK070746 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 2007 to 2009
$1.4M
GENETIC EPIDEMIOLOGY OF NIDDM IN MEXICAN AMERICANSR01DK042273 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI STERN, MICHAEL P · 1991 to 2000
$532k
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NIDDK NIH HHS DK42273NIDDK NIH HHS DK47482NIDDK NIH HHS DK53889NIDDK NIH HHS DK70746NIDDK NIH HHS R01 DK047482NIDDK NIH HHS R01 DK053889NIDDK NIH HHS R01 DK070746NIDDK NIH HHS R01 DK079195NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

objectiveHypertension or high blood pressure is a strong correlate of diseases such as obesity and type 2 diabetes. We conducted a genome-wide linkage screen to identify susceptibility genes influencing systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Mexican-Americans from the Veterans Administration Genetic Epidemiology Study (VAGES).

methodsUsing data from 1,089 individuals distributed across 266 families, we performed a multipoint linkage analysis to localize susceptibility loci for SBP and DBP by applying two models. In model 1, we added a sensible constant to the observed BP values in treated subjects [Tobin et al.; Stat Med 2005;24:2911-2935] to account for antihypertensive use (i.e. 15 and 10 mm Hg to SBP and DBP values, respectively). In model 2, we fixed values of 140 mm Hg for SBP and 90 mm Hg for DBP, if the treated values were less than the standard referenced treatment thresholds of 140/ 90 mm Hg for hypertensive status. However, if the observed treated BP values were found to be above these standard treatment thresholds, the actual observed treated BP values were retained in order not to reduce them by substitution of the treatment threshold values.

resultsThe multipoint linkage analysis revealed strong linkage signals for SBP compared with DBP. The strongest evidence for linkage of SBP (model 1, LOD = 5.0; model 2, LOD = 3.6) was found on chromosome 6q14.1 near the marker D6S1031 (89 cM) in both models. In addition, some evidence for SBP linkage occurred on chromosomes 1q, 4p, and 16p. Most importantly, our major SBP linkage finding on chromosome 6q near marker D6S1031 was independently confirmed in a Caucasian population (LOD = 3.3). In summary, our study found evidence for a major locus on chromosome 6q influencing SBP levels in Mexican-Americans.

Indexed as

Genome-Wide Association StudyAdultBlood PressureChromosomes, Human, Pair 6FemaleGenetic LinkageGenetic LociGenetic Predisposition to DiseaseGenotypeHumansMaleMexican AmericansMiddle AgedModels, GeneticPhenotypeSystole

Identifiers

PMID21293138
PMCPMC3152483
OpenAlexW2065756196

What OpenQuestion holds

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Registered trials

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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.