Evidence map›Paper›PMID 18467552›Full record

SynthesisJournal of applied physiology (Bethesda, Md. : 1985)2008

The Gly482Ser genotype at the PPARGC1A gene and elevated blood pressure: a meta-analysis involving 13,949 individuals.

Karani Santhanakrishnan Vimaleswaran, Jian'an Luan, Gitte Andersen, Y Li Muller, Eleanor Wheeler, Ema C Brito, Stephen O'Rahilly, Oluf Pedersen, Leslie J Baier, William C Knowler and 4 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of applied physiology (Bethesda, Md. : 1985), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Role of theGenes · 2024
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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

14 authors at 2 institutions in 2 countries.

Karani Santhanakrishnan VimaleswaranDepartment of Public Health & Clinical Medicine, Umeå University Hospital, Umeå, Sweden.
Jian'an Luan
Gitte Andersen
Y Li Muller
Eleanor Wheeler
Ema C Brito
Stephen O'Rahilly
Oluf Pedersen
Leslie J Baier
William C Knowler
Inês Barroso
Nicholas J Wareham
Ruth J F Loos
Paul W Franks
Novo Nordisk Foundation · DKUmeå University · SE

Funding

Structural Analysis Of Candidate Genes For Type 2 Diabetes and ObesityZIADK069071 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BAIER, LESLIE J · 2009 to 2025
$15.4M
Structural Analysis Of Genes For Type NIDDM &ObesityZ01DK069071 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BAIER, LESLIE J · 1997 to 2008
$976k
Genetic Epidemiology of Non-Renal Diabetic ComplicationsZ01DK069096 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 2007 to 2008
$626k
Genetic Epidemiology of Non-Renal Diabetic ComplicationsZIADK069096 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 2009 to 2011
$130k
Intramural NIH HHSMedical Research Council G0600717Medical Research Council MC_U106179471Medical Research Council MC_U106188470Wellcome Trust 077016
6 · The paper itself

Abstract

The protein encoded by the PPARGC1A gene is expressed at high levels in metabolically active tissues and is involved in the control of oxidative stress via reactive oxygen species detoxification. Several recent reports suggest that the PPARGC1A Gly482Ser (rs8192678) missense polymorphism may relate inversely with blood pressure. We used conventional meta-analysis methods to assess the association between Gly482Ser and systolic (SBP) or diastolic blood pressures (DBP) or hypertension in 13,949 individuals from 17 studies, of which 6,042 were previously unpublished observations. The studies comprised cohorts of white European, Asian, and American Indian adults, and adolescents from South America. Stratified analyses were conducted to control for population stratification. Pooled genotype frequencies were 0.47 (Gly482Gly), 0.42 (Gly482Ser), and 0.11 (Ser482Ser). We found no evidence of association between Gly482Ser and SBP [Gly482Gly: mean = 131.0 mmHg, 95% confidence interval (CI) = 130.5-131.5 mmHg; Gly482Ser mean = 133.1 mmHg, 95% CI = 132.6-133.6 mmHg; Ser482Ser: mean = 133.5 mmHg, 95% CI = 132.5-134.5 mmHg; P = 0.409] or DBP (Gly482Gly: mean = 80.3 mmHg, 95% CI = 80.0-80.6 mmHg; Gly482Ser mean = 81.5 mmHg, 95% CI = 81.2-81.8 mmHg; Ser482Ser: mean = 82.1 mmHg, 95% CI = 81.5-82.7 mmHg; P = 0.651). Contrary to previous reports, we did not observe significant effect modification by sex (SBP, P = 0.966; DBP, P = 0.715). We were also unable to confirm the previously reported association between the Ser482 allele and hypertension [odds ratio: 0.97, 95% CI = 0.87-1.08, P = 0.585]. These results were materially unchanged when analyses were focused on whites only. However, statistical evidence of gene-age interaction was apparent for DBP [Gly482Gly: 73.5 (72.8, 74.2), Gly482Ser: 77.0 (76.2, 77.8), Ser482Ser: 79.1 (77.4, 80.9), P = 4.20 x 10(-12)] and SBP [Gly482Gly: 121.4 (120.4, 122.5), Gly482Ser: 125.9 (124.6, 127.1), Ser482Ser: 129.2 (126.5, 131.9), P = 7.20 x 10(-12)] in individuals <50 yr (n = 2,511); these genetic effects were absent in those older than 50 yr (n = 5,088) (SBP, P = 0.41; DBP, P = 0.51). Our findings suggest that the PPARGC1A Ser482 allele may be associated with higher blood pressure, but this is only apparent in younger adults.

Indexed as

AdultAgedAge FactorsBlood PressureBody Mass IndexFemaleGene FrequencyGenetic Predisposition to DiseaseHeat-Shock ProteinsHumansHypertensionMaleMiddle AgedOdds RatioPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPhenotypeHeat-Shock ProteinsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPARGC1A protein, humanTranscription Factors

Identifiers

PMID18467552
PMCPMC2576025
OpenAlexW2124155893

What OpenQuestion holds

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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.