Evidence map›Paper›PMID 35264221›Full record

ArticleGenome medicine2022

Integrative genetic and immune cell analysis of plasma proteins in healthy donors identifies novel associations involving primary immune deficiency genes.

Barthelemy Caron, Etienne Patin, Maxime Rotival, Bruno Charbit, Matthew L Albert, Lluis Quintana-Murci, Darragh Duffy, Antonio Rausell, Milieu Intérieur Consortium

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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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

9 authors at 6 institutions in 2 countries.

Barthelemy CaronUniversité de Paris, INSERM UMR1163, Imagine Institute, Clinical Bioinformatics Laboratory, F-75006, Paris, France.
Etienne PatinHuman Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Université de Paris, F-75015, Paris, France.
Maxime RotivalHuman Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Université de Paris, F-75015, Paris, France.
Bruno CharbitCytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université de Paris, F-75015, Paris, France.
Matthew L AlbertHIBIO, South San Francisco, CA, 94080, USA.
Lluis Quintana-Murci *Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Université de Paris, F-75015, Paris, France.
Darragh Duffy *Cytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université de Paris, F-75015, Paris, France. darragh.duffy@pasteur.fr.
Antonio Rausell *Université de Paris, INSERM UMR1163, Imagine Institute, Clinical Bioinformatics Laboratory, F-75006, Paris, France. antonio.rausell@institutimagine.org.ORCID 0000-0002-4832-6101
Milieu Intérieur Consortium
Centre National de la Recherche Scientifique · FRInstitut Pasteur · FRHôpital Necker-Enfants Malades · FRSunesis (United States) · USCollège de France · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood plasma proteins play an important role in immune defense against pathogens, including cytokine signaling, the complement system, and the acute-phase response. Recent large-scale studies have reported genetic (i.e., protein quantitative trait loci, pQTLs) and non-genetic factors, such as age and sex, as major determinants to inter-individual variability in immune response variation. However, the contribution of blood-cell composition to plasma protein heterogeneity has not been fully characterized and may act as a mediating factor in association studies.

methodsHere, we evaluated plasma protein levels from 400 unrelated healthy individuals of western European ancestry, who were stratified by sex and two decades of life (20-29 and 60-69 years), from the Milieu Intérieur cohort. We quantified 229 proteins by Luminex in a clinically certified laboratory and their levels of variation were analyzed together with 5.2 million single-nucleotide polymorphisms. With respect to non-genetic variables, we included 254 lifestyle and biochemical factors, as well as counts of seven circulating immune cell populations measured by hemogram and standardized flow cytometry.

resultsCollectively, we found 152 significant associations involving 49 proteins and 20 non-genetic variables. Consistent with previous studies, age and sex showed a global, pervasive impact on plasma protein heterogeneity, while body mass index and other health status variables were among the non-genetic factors with the highest number of associations. After controlling for these covariates, we identified 100 and 12 pQTLs acting in cis and trans, respectively, collectively associated with 87 plasma proteins and including 19 novel genetic associations. Genetic factors explained the largest fraction of the variability of plasma protein levels, as compared to non-genetic factors. In addition, blood-cell fractions, including leukocytes, lymphocytes, monocytes, neutrophils, eosinophils, basophils, and platelets, had a larger contribution to inter-individual variability than age and sex and appeared as confounders of specific genetic associations. Finally, we identified new genetic associations with plasma protein levels of five monogenic Mendelian disease genes including two primary immunodeficiency genes (Ficolin-3 and FAS).

conclusionsOur study identified novel genetic and non-genetic factors associated to plasma protein levels which may inform health status and disease management.

Indexed as

Blood ProteinsPrimary Immunodeficiency DiseasesGenome-Wide Association StudyHealth StatusHumansPolymorphism, Single NucleotideQuantitative Trait LociBlood ProteinsImmune cellsImmune variabilityPlasma proteinspQTL

Identifiers

PMID35264221
PMCPMC8905727
OpenAlexW4220970530

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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.