Evidence map›Paper›PMID 30045690›Full record

ArticleBMC medical genetics2018

Association of Catechol-O-methyltransferase (COMT Val

Aysha Almas, Yvonne Forsell, Vincent Millischer, Jette Möller, Catharina Lavebratt

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

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  3. Review
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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 3 institutions in 3 countries.

Aysha AlmasDepartment of Public Health Sciences, Karolinska Institutet, 171 77, Stockholm, Sweden. aysha.almas@aku.edu.ORCID 0000-0001-7146-7183
Yvonne ForsellDepartment of Public Health Sciences, Karolinska Institutet, 171 77, Stockholm, Sweden.
Vincent MillischerDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Jette MöllerDepartment of Public Health Sciences, Karolinska Institutet, 171 77, Stockholm, Sweden.
Catharina LavebrattDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden. catharina.lavebratt@ki.se.
Karolinska Institutet · SEKarolinska University Hospital · SEAga Khan University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCatechol-O-methyltransferase (COMT Val

methodsData from a longitudinal cohort study of mental health among Swedish adults was used. Depression was assessed twice 3 years apart for each participant, in 1998-2001 and 2001-2003. Saliva DNA was contributed by 4349 (41.7%) of the participants and 3525 was successfully genotyped for COMT Val

resultsThose with depression and the high COMT enzyme activity genotype (Val/Val) had almost a three-fold increased risk of later CVD (OR 3.6; 95% CI: 2.0-6.6) compared to those non-depressed carrying the Val/Val allele. This effect on risk for CVD was higher in women compared to men (OR 7.0; 95% CI: 3.0-14.0 versus OR 2.1; 95% CI: 1.0-6.8). Both additive interaction (attributable proportion (AP) = 0.56; 95% CI: 0.24-0.90 and synergy index (SI) = 4.39; 1.0-18.7) and multiplicative interaction (log likelihood test p = 0.1) was present between depression and COMT Val

conclusionHigh COMT activity genotype Val

Indexed as

AdultAmino Acid SubstitutionCardiovascular DiseasesCatechol O-MethyltransferaseCohort StudiesDepressionFemaleGenotypeHumansLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotideSwedenYoung AdultCatechol O-MethyltransferaseCOMT protein, humanDepressionGenderGenetic variationMyocardial infarctionStroke

Identifiers

PMID30045690
PMCPMC6060560
OpenAlexW2884682740

What OpenQuestion holds

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LicenceCC BY
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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.