Evidence map›Paper›PMID 19330903›Full record

ArticleJournal of hypertension2009

Gene by smoking interaction in hypertension: identification of a major quantitative trait locus on chromosome 15q for systolic blood pressure in Mexican-Americans.

May E Montasser, Lawrence C Shimmin, Craig L Hanis, Eric Boerwinkle, James E Hixson

Open access · greenAbstract read
In one paragraph

Article in Journal of hypertension, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  13. Genetic variation and association analyses of NEDD4 gene in Kazak Chinese patients with hypertension.International journal of molecular epidemiology and genetics · 2010
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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

5 authors at 2 institutions in 2 countries.

May E MontasserHuman Genetics Center, School of Public Health, University of Texas Health Science, Center at Houston, Houston, Texas 77030, USA.
Lawrence C Shimmin
Craig L Hanis
Eric Boerwinkle
James E Hixson
The University of Texas Health Science Center at Houston · USOctober 6 University · EG

Funding

MOLECULAR EPIDEMIOLOGY OF ESSENTIAL HYPERTENSIONR37HL051021 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 1999 to 2008
$10.8M
The Family Blood Pressure Program (GENOA Network)U01HL054481 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A · 2000 to 2007
$6.7M
GENETIC EPIDEMIOLOGY OF CORONARY HEART DISEASER01HL039107 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES F · 1987 to 2005
$5.8M
GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU01HL054457 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2000 to 2004
$2.8M
GENES AND HIGH BP: MEXICAN AMERICAN FIELD CENTERU01HL054504 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HANIS, CRAIG L · 2000 to 2004
$1.4M
MOLECULAR EPIDEMIOLOGY OF ESSENTIAL HYPERTENSIONR01HL051021 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A · 1994 to 1998
–
GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU10HL054457 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES F · 1995 to 1999
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GENES AND HIGH BPU10HL054504 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HANIS, CRAIG L · 1995 to 1999
–
NHLBI NIH HHS HL-039107NHLBI NIH HHS HL-051021NHLBI NIH HHS HL-54457NHLBI NIH HHS HL-54504NHLBI NIH HHS R01 HL039107NHLBI NIH HHS R37 HL051021NHLBI NIH HHS U01 HL054457NHLBI NIH HHS U01 HL054481NHLBI NIH HHS U01 HL054504NHLBI NIH HHS U10 HL054457NHLBI NIH HHS U10 HL054504
6 · The paper itself

Abstract

objectiveOur objective was to investigate the influence of gene by smoking (GxS) interaction on hypertension and blood pressure (BP) using genome-wide linkage analysis in Mexican-Americans, followed by single nucleotide polymorphism (SNP) fine mapping of candidate genes in the linked chromosomal region.

methodsWe used nonparametric methods to test for linkage of microsatellites with hypertension and BP measures in smokers, nonsmokers, and the combined group. To begin fine mapping of a major quantitative trait locus (QTL) for systolic blood pressure (SBP) on chromosome 15q that showed strong evidence for GxS interaction, we genotyped 55 SNPs in nine candidate genes for association studies using two population-based statistical methods.

resultsThe strongest evidence for GxS interaction (P = 0.0004) was found for SBP on chromosome 15q, where a major QTL (LOD = 3.36) was identified only in nonsmokers. Follow-up studies identified three SNPs in three genes (ANPEP, IGF1R, and SLCO3A1) that showed associations with SBP only in nonsmokers, cumulatively accounting for a 7 mmHg increase in SBP. However, conditional linkage analyses that accounted for phenotypic effects of these SNPs only slightly reduced the original LOD score.

conclusionThe detection of a major QTL on chromosome 15q for SBP in nonsmokers indicates the presence of loci that influence BP via GxS interactions. However, identification of the genes that underlie such QTL effects remains a challenge. Although we found three candidate genes that showed significant associations with SBP in nonsmokers, further studies are required to identify the gene(s) that underlie the chromosome 15q QTL that influences SBP via GxS interactions.

Indexed as

Quantitative Trait LociAgedBlood PressureChromosomes, Human, Pair 15FemaleGenetic LinkageHumansHypertensionLod ScoreMaleMexican AmericansMicrosatellite RepeatsMiddle AgedPhysical Chromosome MappingPolymorphism, Single NucleotideSmoking

Identifiers

PMID19330903
PMCPMC2664514
OpenAlexW1964853063

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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.