Evidence map›Paper›PMID 37951941›Full record

ArticleBMC medical genomics2023

A phenome-wide approach to identify causal risk factors for deep vein thrombosis.

Andrei-Emil Constantinescu, Caroline J Bull, Lucy J Goudswaard, Jie Zheng, Benjamin Elsworth, Nicholas J Timpson, Samantha F Moore, Ingeborg Hers, Emma E Vincent

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 2 countries.

Andrei-Emil ConstantinescuMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK. andrei.constantinescu@bristol.ac.uk.
Caroline J BullMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK.
Lucy J GoudswaardMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK.
Jie ZhengMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK.
Benjamin ElsworthOur Future Health Ltd. Registered office: 2 New Bailey, 6 Stanley Street, Manchester, M3 5GS, UK.
Nicholas J TimpsonMRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK.
Samantha F MooreSchool of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK.
Ingeborg Hers *School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK.
Emma E Vincent *MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, UK.
University of Bristol · GBMRC Epidemiology Unit · GBFuture Science Group (United Kingdom) · GBMedical Research Council · GB

Funding

Cancer Research UK 29019Department of Health BRC-1215–2001Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_00032/1Medical Research Council MR/N0137941/1Wellcome TrustWellcome Trust 202802/Z/16/ZWellcome Trust 217065/Z/19/Z
6 · The paper itself

Abstract

Deep vein thrombosis (DVT) is the formation of a blood clot in a deep vein. DVT can lead to a venous thromboembolism (VTE), the combined term for DVT and pulmonary embolism, a leading cause of death and disability worldwide. Despite the prevalence and associated morbidity of DVT, the underlying causes are not well understood. Our aim was to leverage publicly available genetic summary association statistics to identify causal risk factors for DVT. We conducted a Mendelian randomization phenome-wide association study (MR-PheWAS) using genetic summary association statistics for 973 exposures and DVT (6,767 cases and 330,392 controls in UK Biobank). There was evidence for a causal effect of 57 exposures on DVT risk, including previously reported risk factors (e.g. body mass index-BMI and height) and novel risk factors (e.g. hyperthyroidism and varicose veins). As the majority of identified risk factors were adiposity-related, we explored the molecular link with DVT by undertaking a two-sample MR mediation analysis of BMI-associated circulating proteins on DVT risk. Our results indicate that circulating neurogenic locus notch homolog protein 1 (NOTCH1), inhibin beta C chain (INHBC) and plasminogen activator inhibitor 1 (PAI-1) influence DVT risk, with PAI-1 mediating the BMI-DVT relationship. Using a phenome-wide approach, we provide putative causal evidence that hyperthyroidism, varicose veins and BMI enhance the risk of DVT. Furthermore, the circulating protein PAI-1 has a causal role in DVT aetiology and is involved in mediating the BMI-DVT relationship.

Indexed as

HyperthyroidismVaricose VeinsVenous ThrombosisHumansPlasminogen Activator Inhibitor 1Risk FactorsPlasminogen Activator Inhibitor 1ALSPACDeep vein thrombosisGenome-wide association studyMendelian randomizationProtein quantitative trait loci

Identifiers

PMID37951941
PMCPMC10640748
OpenAlexW4388586292

What OpenQuestion holds

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LicenceCC BY
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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.