Evidence map›Paper›PMID 34741066›Full record

ArticleNature communications2021

Pairwise effects between lipid GWAS genes modulate lipid plasma levels and cellular uptake.

Magdalena Zimoń, Yunfeng Huang, Anthi Trasta, Aliaksandr Halavatyi, Jimmy Z Liu, Chia-Yen Chen, Peter Blattmann, Bernd Klaus, Christopher D Whelan, David Sexton and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Interactions with polygenic background impact quantitative traits in the UK Biobank.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

15 authors.

Magdalena Zimoń *Molecular Medicine Partnership Unit (MMPU), University of Heidelberg/EMBL, Heidelberg, Germany.
Yunfeng Huang *Translational Biology, Biogen Inc, Cambridge, MA, USA.
Anthi Trasta *Molecular Medicine Partnership Unit (MMPU), University of Heidelberg/EMBL, Heidelberg, Germany.
Aliaksandr HalavatyiAdvanced Light Microscopy Facility (ALMF), European Molecular Biological Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-9002-457X
Jimmy Z LiuTranslational Biology, Biogen Inc, Cambridge, MA, USA.
Chia-Yen ChenTranslational Biology, Biogen Inc, Cambridge, MA, USA.
Peter BlattmannMolecular Medicine Partnership Unit (MMPU), University of Heidelberg/EMBL, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-9105-6381
Bernd KlausGenome Biology Unit, European Molecular Biological Laboratory, Heidelberg, Germany.
Christopher D WhelanTranslational Biology, Biogen Inc, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0308-5583
David SextonTranslational Biology, Biogen Inc, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-4293-8710
Sally JohnTranslational Biology, Biogen Inc, Cambridge, MA, USA.
Wolfgang HuberGenome Biology Unit, European Molecular Biological Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0474-2218
Ellen A TsaiTranslational Biology, Biogen Inc, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5625-1189
Rainer PepperkokMolecular Medicine Partnership Unit (MMPU), University of Heidelberg/EMBL, Heidelberg, Germany. pepperko@embl.de.
Heiko RunzMolecular Medicine Partnership Unit (MMPU), University of Heidelberg/EMBL, Heidelberg, Germany. heiko.runz@gmail.com.ORCID http://orcid.org/0000-0002-2133-7345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex traits are characterized by multiple genes and variants acting simultaneously on a phenotype. However, studying the contribution of individual pairs of genes to complex traits has been challenging since human genetics necessitates very large population sizes, while findings from model systems do not always translate to humans. Here, we combine genetics with combinatorial RNAi (coRNAi) to systematically test for pairwise additive effects (AEs) and genetic interactions (GIs) between 30 lipid genome-wide association studies (GWAS) genes. Gene-based burden tests from 240,970 exomes show that in carriers with truncating mutations in both, APOB and either PCSK9 or LPL ("human double knock-outs") plasma lipid levels change additively. Genetics and coRNAi identify overlapping AEs for 12 additional gene pairs. Overlapping GIs are observed for TOMM40/APOE with SORT1 and NCAN. Our study identifies distinct gene pairs that modulate plasma and cellular lipid levels primarily via AEs and nominates putative drug target pairs for improved lipid-lowering combination therapies.

Indexed as

Adaptor Proteins, Vesicular TransportApolipoproteins BApolipoproteins EGenome-Wide Association StudyHumansLipoprotein LipaseMitochondrial Precursor Protein Import Complex ProteinsNeurocanProprotein Convertase 9SortilinAdaptor Proteins, Vesicular TransportApolipoproteins BApolipoproteins ELipoprotein LipaseLPL protein, humanMitochondrial Precursor Protein Import Complex ProteinsNCAN protein, humanNeurocanPCSK9 protein, humanProprotein Convertase 9SortilinTOMM40 protein, human

Identifiers

PMID34741066
PMCPMC8571362

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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.