Evidence map›Paper›PMID 36130209›Full record

ArticleHuman molecular genetics2023

Blood transcriptomic biomarkers of alcohol consumption and cardiovascular disease risk factors: the Framingham Heart Study.

Jiantao Ma, Allen Huang, Kaiyu Yan, Yi Li, Xianbang Sun, Roby Joehanes, Tianxiao Huan, Daniel Levy, Chunyu Liu

Open access · greenAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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.

Jiantao MaDivision of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA.ORCID 0000-0001-7478-7203
Allen HuangDepartment of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02142, USA.
Kaiyu YanDepartment of Biostatistics, Boston University, Boston, MA 02118, USA.
Yi LiDepartment of Biostatistics, Boston University, Boston, MA 02118, USA.
Xianbang SunDepartment of Biostatistics, Boston University, Boston, MA 02118, USA.
Roby JoehanesPopulation Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Tianxiao HuanDepartment of Ophthalmology and Visual Sciences, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Daniel LevyPopulation Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Chunyu LiuDepartment of Biostatistics, Boston University, Boston, MA 02118, USA.ORCID 0000-0002-9160-0153
Boston University · USNational Institutes of Health · USTufts University · USUniversity of Massachusetts Chan Medical School · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
Trans-omic Analysis of Alcohol Consumption and its Relation to Cardiovascular DiseaseR01AA028263 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIU, CHUNYU, MA, JIANTAO · 2021 to 2025
$2.6M
Mitochondrial DNA, Nuclear DNA Methylation, and Cardiometabolic Disease TraitsR01HL155569 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIU, CHUNYU · 2021 to 2024
$2.4M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL155569NIAAA NIH HHS R01 AA028263
6 · The paper itself

Abstract

backgroundThe relations of alcohol consumption and gene expression remain to be elucidated. MATERIALS AND

methodsWe examined cross-sectional associations between alcohol consumption and whole blood derived gene expression levels and between alcohol-associated genes and obesity, hypertension, and diabetes in 5531 Framingham Heart Study (FHS) participants.

resultsWe identified 25 alcohol-associated genes. We further showed cross-sectional associations of 16 alcohol-associated genes with obesity, nine genes with hypertension, and eight genes with diabetes at P < 0.002. For example, we observed decreased expression of PROK2 (β = -0.0018; 95%CI: -0.0021, -0.0007; P = 6.5e - 5) and PAX5 (β = -0.0014; 95%CI: -0.0021, -0.0007; P = 6.5e - 5) per 1 g/day increase in alcohol consumption. Consistent with our previous observation on the inverse association of alcohol consumption with obesity and positive association of alcohol consumption with hypertension, we found that PROK2 was positively associated with obesity (OR = 1.42; 95%CI: 1.17, 1.72; P = 4.5e - 4) and PAX5 was negatively associated with hypertension (OR = 0.73; 95%CI: 0.59, 0.89; P = 1.6e - 3). We also observed that alcohol consumption was positively associated with expression of ABCA13 (β = 0.0012; 95%CI: 0.0007, 0.0017; P = 1.3e - 6) and ABCA13 was positively associated with diabetes (OR = 2.57; 95%CI: 1.73, 3.84; P = 3.5e - 06); this finding, however, was inconsistent with our observation of an inverse association between alcohol consumption and diabetes.

conclusionsWe showed strong cross-sectional associations between alcohol consumption and expression levels of 25 genes in FHS participants. Nonetheless, complex relationships exist between alcohol-associated genes and CVD risk factors.

Indexed as

Cardiovascular DiseasesDiabetes MellitusHypertensionAlcohol DrinkingBiomarkersCross-Sectional StudiesHumansLongitudinal StudiesObesityRisk FactorsTranscriptomeBiomarkers

Identifiers

PMID36130209
PMCPMC9896471
OpenAlexW4296932798

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.