Evidence map›Paper›PMID 36349687›Full record

ArticleHuman molecular genetics2023

Identifying causal serum protein-cardiometabolic trait relationships using whole genome sequencing.

Grace Png, Raffaele Gerlini, Konstantinos Hatzikotoulas, Andrei Barysenka, N William Rayner, Lucija Klarić, Birgit Rathkolb, Juan A Aguilar-Pimentel, Jan Rozman, Helmut Fuchs and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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  7. Multi-omics characterization of type 2 diabetes associated genetic variation.medRxiv : the preprint server for health sciences · 2024
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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

20 authors at 6 institutions in 4 countries.

Grace PngInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.
Raffaele GerliniInstitute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany.
Konstantinos HatzikotoulasInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.
Andrei BarysenkaInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.
N William RaynerInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.
Lucija KlarićMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH8 9QN, UK.ORCID 0000-0003-3105-8929
Birgit RathkolbInstitute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany.
Juan A Aguilar-PimentelInstitute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany.
Jan RozmanInstitute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany.
Helmut FuchsInstitute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany.
Valerie Gailus-DurnerInstitute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany.
Emmanouil TsafantakisAnogia Medical Centre, Anogia 74150, Greece.
Maria KaraleftheriEchinos Medical Centre, Echinos 67300, Greece.
George DedoussisDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens 17671, Greece.
Claus PietrzikInstitute for Pathobiochemistry, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55122, Germany.
James F WilsonMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH8 9QN, UK.
Martin Hrabe de AngelisInstitute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg 85764, Germany.
Christoph Becker-PaulyInstitute of Biochemistry, Unit for Degradomics of the Protease Web, University of Kiel, Kiel 24118, Germany.
Arthur GillyInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.
Helmholtz Zentrum München · DEAthens Medical Center · GRInstitute of Genetics and Cancer · GBHarokopio University of Athens · GRJohannes Gutenberg University Mainz · DETUM Klinikum · DE

Funding

Arthritis Research UKChief Scientist Office CZB/4/276Chief Scientist Office CZB/4/710European Research Council ERC-2011-StG 280559- SEPIMedical Research Council MC_UU_00007/10Medical Research Council MR/R026408/1Medical Research Council U. MC_UU_00007/10Wellcome TrustWellcome Trust 098051
6 · The paper itself

Abstract

Cardiometabolic diseases, such as type 2 diabetes and cardiovascular disease, have a high public health burden. Understanding the genetically determined regulation of proteins that are dysregulated in disease can help to dissect the complex biology underpinning them. Here, we perform a protein quantitative trait locus (pQTL) analysis of 248 serum proteins relevant to cardiometabolic processes in 2893 individuals. Meta-analyzing whole-genome sequencing (WGS) data from two Greek cohorts, MANOLIS (n = 1356; 22.5× WGS) and Pomak (n = 1537; 18.4× WGS), we detect 301 independently associated pQTL variants for 170 proteins, including 12 rare variants (minor allele frequency < 1%). We additionally find 15 pQTL variants that are rare in non-Finnish European populations but have drifted up in the frequency in the discovery cohorts here. We identify proteins causally associated with cardiometabolic traits, including Mep1b for high-density lipoprotein (HDL) levels, and describe a knock-out (KO) Mep1b mouse model. Our findings furnish insights into the genetic architecture of the serum proteome, identify new protein-disease relationships and demonstrate the importance of isolated populations in pQTL analysis.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AnimalsBlood ProteinsGenome-Wide Association StudyMicePhenotypeWhole Genome SequencingBlood Proteins

Identifiers

PMID36349687
PMCPMC10077504
OpenAlexW4308603268

What OpenQuestion holds

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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.