Evidence map›Paper›PMID 37907536›Full record

ArticleNature communications2023

Genome-wide association analysis of plasma lipidome identifies 495 genetic associations.

Linda Ottensmann, Rubina Tabassum, Sanni E Ruotsalainen, Mathias J Gerl, Christian Klose, Elisabeth Widén, FinnGen, Kai Simons, Samuli Ripatti, Matti Pirinen

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 4 pooled it
84.9field-weighted citation impact, top 1% 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

160 citing papers in PubMed, 4 syntheses or guidelines pooled it, 257 citations in OpenAlex.

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100 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 2 countries.

Linda OttensmannInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland. linda.ottensmann@helsinki.fi.ORCID 0000-0002-0096-8308
Rubina TabassumInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Sanni E RuotsalainenInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-1631-4069
Mathias J GerlLipotype GmbH, Dresden, Germany.ORCID 0000-0002-8074-7221
Christian KloseLipotype GmbH, Dresden, Germany.ORCID 0000-0003-2853-4533
Elisabeth WidénInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-7108-2806
FinnGen
Kai SimonsLipotype GmbH, Dresden, Germany.
Samuli RipattiInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-0504-1202
Matti PirinenInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland. matti.pirinen@helsinki.fi.ORCID 0000-0002-1664-1350
University of Helsinki · FIBroad Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids.

Indexed as

Coronary Artery DiseaseGenome-Wide Association StudyGenetic Predisposition to DiseaseHumansLipidomicsLipidsPhenotypePolymorphism, Single NucleotideLipids

Identifiers

PMID37907536
PMCPMC10618167
OpenAlexW4388080313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.