Evidence map›Paper›PMID 19351393›Full record

ArticleBMC medical genomics2009

Complexity in the genetic architecture of leukoaraiosis in hypertensive sibships from the GENOA Study.

Jennifer A Smith, Stephen T Turner, Yan V Sun, Myriam Fornage, Reagan J Kelly, Thomas H Mosley, Clifford R Jack, Iftikhar J Kullo, Sharon L R Kardia

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  13. Epigenomic Indicators of Age in African Americans.Hereditary genetics : current research · 2014
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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

9 authors at 4 institutions in 1 country.

Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA. smjenn@umich.edu
Stephen T Turner
Yan V Sun
Myriam Fornage
Reagan J Kelly
Thomas H Mosley
Clifford R Jack
Iftikhar J Kullo
Sharon L R Kardia
University of Michigan–Ann Arbor · USMayo Clinic · USJackson Memorial Hospital · USThe University of Texas Health Science Center at Houston · US

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Genetics of Microangiopathic Brain InjuryR01NS041558 · NINDS · MAYO CLINIC ROCHESTER · PI TURNER, STEPHEN T · 2001 to 2010
$5.8M
Biomarkers of Peripheral Arterial DiseaseR01HL075794 · NHLBI · MAYO CLINIC ROCHESTER · PI KULLO, IFTIKHAR J · 2003 to 2007
$3.0M
NHLBI FAMILY BLOOD PRESSURE PROGRAM (GENOA)U01HL054464 · NHLBI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI TURNER, STEPHEN T · 2000 to 2004
$2.6M
GENETIC DETERMINANTS OF HIGH BP IN THREE RACIAL GROUPSU10HL054464 · NHLBI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI TURNER, STEPHEN T · 1995 to 1999
–
NHGRI NIH HHS T32 HG000040NHLBI NIH HHS R01 HL075794NHLBI NIH HHS U01 HL054464NHLBI NIH HHS U10 HL054464NINDS NIH HHS R01 NS041558
6 · The paper itself

Abstract

backgroundSubcortical white matter hyperintensity on magnetic resonance imaging (MRI) of the brain, referred to as leukoaraiosis, is associated with increased risk of stroke and dementia. Hypertension may contribute to leukoaraiosis by accelerating the process of arteriosclerosis involving penetrating small arteries and arterioles in the brain. Leukoaraiosis volume is highly heritable but shows significant inter-individual variability that is not predicted well by any clinical covariates (except for age) or by single SNPs.

methodsAs part of the Genetics of Microangiopathic Brain Injury (GMBI) Study, 777 individuals (74% hypertensive) underwent brain MRI and were genotyped for 1649 SNPs from genes known or hypothesized to be involved in arteriosclerosis and related pathways. We examined SNP main effects, epistatic (gene-gene) interactions, and context-dependent (gene-environment) interactions between these SNPs and covariates (including conventional and novel risk factors for arteriosclerosis) for association with leukoaraiosis volume. Three methods were used to reduce the chance of false positive associations: 1) false discovery rate (FDR) adjustment for multiple testing, 2) an internal replication design, and 3) a ten-iteration four-fold cross-validation scheme.

resultsFour SNP main effects (in F3, KITLG, CAPN10, and MMP2), 12 SNP-covariate interactions (including interactions between KITLG and homocysteine, and between TGFB3 and both physical activity and C-reactive protein), and 173 SNP-SNP interactions were significant, replicated, and cross-validated. While a model containing the top single SNPs with main effects predicted only 3.72% of variation in leukoaraiosis in independent test samples, a multiple variable model that included the four most highly predictive SNP-SNP and SNP-covariate interactions predicted 11.83%.

conclusionThese results indicate that the genetic architecture of leukoaraiosis is complex, yet predictive, when the contributions of SNP main effects are considered in combination with effects of SNP interactions with other genes and covariates.

Identifiers

PMID19351393
PMCPMC2679055
OpenAlexW2091216505

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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.