Evidence map›Paper›PMID 40240424›Full record

ArticleScientific reports2025

Plasma metabolomic signatures for copy number variants and COVID-19 risk loci in Northern Finland populations.

Tisham De, Lachlan Coin, Jethro Herberg, Michael R Johnson, Marjo-Riitta Järvelin

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Tisham DeDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. tisham.de08@imperial.ac.uk.
Lachlan CoinDepartment of Infectious Disease, Imperial College London, London, UK.
Jethro HerbergDepartment of Infectious Disease, Imperial College London, London, UK.
Michael R JohnsonDepartment of Brain Sciences, Imperial College London, London, UK.
Marjo-Riitta JärvelinDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copy number variants (CNVs) are an important class of genomic variation known to be important for human physiology and diseases. Here we present genome-wide metabolomic signatures for CNVs in two Finnish cohorts-The Northern Finland Birth Cohort 1966 (NFBC 1966) and NFBC 1986. We have analysed and reported CNVs in over 9,300 individuals and characterised their dosage effect (CNV-metabolomic QTL) on 228 plasma lipoproteins and metabolites. We have reported reference (normal physiology) metabolomic signatures for up to ~ 2.6 million COVID-19 GWAS results from the National Institutes of Health (NIH) GRASP database, including for outcomes related to COVID-19 death, severity, and hospitalisation. Furthermore, by analysing two exemplar genes for COVID-19 severity namely LZTFL1 and OAS1, we have reported here two additional candidate genes for COVID-19 severity biology, (1) NFIX, a gene related to viral (adenovirus) replication and hematopoietic stem cells and (2) ACSL1, a known candidate gene for sepsis and bacterial inflammation. Based on our results and current literature we hypothesise that (1) charge imbalance across the cellular membrane between cations (Fe

Indexed as

COVID-19DNA Copy Number VariationsMetabolomeCohort StudiesFemaleFinlandGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMetabolomicsMiddle AgedQuantitative Trait LociSARS-CoV-2

Identifiers

PMID40240424
PMCPMC12003712

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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.