Evidence map›Paper›PMID 19029486›Full record

ArticleHypertension (Dallas, Tex. : 1979)2009

Genetic effect on blood pressure is modulated by age: the Hypertension Genetic Epidemiology Network Study.

Gang Shi, Chi C Gu, Aldi T Kraja, Donna K Arnett, Richard H Myers, James S Pankow, Steven C Hunt, Dabeeru C Rao

Abstract readValidation Study
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

33 citing papers in PubMed, 3 syntheses or guidelines 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

8 authors.

Gang ShiDivision of Biostatistics, Washington University School of Medicine, Campus Box 8067, 660 S Euclid Ave, St. Louis, MO 63110-1093, USA. gang@wubios.wustl.edu
Chi C Gu
Aldi T Kraja
Donna K Arnett
Richard H Myers
James S Pankow
Steven C Hunt
Dabeeru C Rao

Funding

The Family Blood Pressure Program (HyperGEN Network)U01HL054471 · NHLBI · UNIVERSITY OF UTAH · PI HUNT, STEVEN C. · 2000 to 2007
$7.4M
The Family Blood Pressure Program (Program Data Center)U01HL054473 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 2000 to 2008
$5.8M
NHLBI FAMILY BLOOD PRESSURE PROGRAM-HYPERGEN-MPLS FCU01HL054496 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PANKOW, JAMES S · 2000 to 2004
$3.2M
RESEARCH PROJECT IN GENETIC EPIDEMIOLOGYR01GM028719 · NIGMS · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 1985 to 2008
$2.0M
HYPERGEN - BIRMINGHAM FIELD CENTERU01HL054495 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA E · 2000 to 2004
$923k
HYPERGEN CENTRAL BIOCHEMISTRY LABORATORYU01HL054472 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ECKFELDT, JOHN H · 2000 to 2004
$879k
HYPERGEN-NCU01HL054509 · NHLBI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI NORTH, KARI E · 2000 to 2004
$640k
HYPERGEN-BOSTON UNIVERSITY/FRAMINGHAM FIELD CENTERU01HL054497 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ELLISON, CURTIS R. · 2000 to 2004
$430k
GENETIC DETERMINANTS OF HIGH BLOOD PRESSUREU10HL054515 · NHLBI · UNIVERSITY OF UTAH · PI LALOUEL, JEAN-MARC · 1995 to 1999
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HYPERGENU10HL054471 · NHLBI · UNIVERSITY OF UTAH · PI HUNT, STEVEN C. · 1995 to 1999
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HYPERGENU10HL054472 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ECKFELDT, JOHN H · 1995 to 1999
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HYPERGEN- DATA COORDINATING CENTERU10HL054473 · NHLBI · WASHINGTON UNIVERSITY · PI RAO, DABEERU C · 1995 to 1999
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NHLBI NIH HHS U01 HL054471NHLBI NIH HHS U01 HL054472NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL054495NHLBI NIH HHS U01 HL054496NHLBI NIH HHS U01 HL054497NHLBI NIH HHS U01 HL054509NHLBI NIH HHS U10 HL054471NHLBI NIH HHS U10 HL054472NHLBI NIH HHS U10 HL054473NHLBI NIH HHS U10 HL054495NHLBI NIH HHS U10 HL054496NHLBI NIH HHS U10 HL054497NHLBI NIH HHS U10 HL054509NHLBI NIH HHS U10 HL054515NHLBI NIH HHS U10 HL54471NHLBI NIH HHS U10 HL54472NHLBI NIH HHS U10 HL54473NHLBI NIH HHS U10 HL54495NHLBI NIH HHS U10 HL54496NHLBI NIH HHS U10 HL54497NHLBI NIH HHS U10 HL54509NHLBI NIH HHS U10 HL54515NIGMS NIH HHS GM 28719NIGMS NIH HHS R01 GM028719
6 · The paper itself

Abstract

Genome-wide linkage analysis was performed for systolic and diastolic blood pressures in the Hypertension Genetic Epidemiology Network. We investigated the role of gene-age interactions using a recently developed variance components method that incorporates age variation in genetic effects. Substantially improved linkage evidence, in terms of both the number of linkage peaks and their significance levels, was observed. Twenty-six linkage peaks were identified with maximum logarithm of odds scores ranging between 3.0 and 4.6, 15 of which were cross-validated by the literature. The chromosomal region 1p36 that showed the highest logarithm of odds score in our study was found to be supported by evidence from 3 studies. The new method also led to vastly improved validation across ethnic groups. Ten of the 15 supported linkage peaks were cross-validated between 2 different ethnic groups, and 2 peaks on chromosomal region 1q31 and 16p11 were validated in 3 ethnic groups. In conclusion, this investigation demonstrates that genetic effects on blood pressure vary by age. The improved genetic linkage results presented here should help to identify the specific genetic variants that explain the observed results.

Indexed as

Models, BiologicalAdultAgedAgingAnalysis of VarianceBlack or African AmericanBlack PeopleBlood PressureChromosomes, Human, Pair 1Chromosomes, Human, Pair 16FemaleGenetic LinkageGenetic VariationHumansHypertensionMale

Identifiers

PMID19029486
PMCPMC2633773

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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.