Evidence map›Paper›PMID 30053915›Full record

Trial reportGenome medicine2018

Human genetic variants and age are the strongest predictors of humoral immune responses to common pathogens and vaccines.

Petar Scepanovic, Cécile Alanio, Christian Hammer, Flavia Hodel, Jacob Bergstedt, Etienne Patin, Christian W Thorball, Nimisha Chaturvedi, Bruno Charbit, Laurent Abel and 5 more

3 registry-linked trialsOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 114 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 6 pooled it
13.0field-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.

NCT01699893 nacompletednot on this map

Genetic & Environmental Determinants Of Immune Phenotype Variance: Establishing A Path Towards Personalized Medicine

TypeinterventionalSponsorInstitut PasteurRan2012 to 2013Enrolled1,012ConditionsIndividualityArmsunique arm
NCT03925272 naunknown statusnot on this map

Constitution d'Une Cohorte Prospective de Sujets Sains et Malades et d'Une Collection de Ressources Biologiques associées Pour l'étude du système Immunitaire et de Ses déterminants Génétiques et Environnementaux"

TypeinterventionalSponsorInstitut PasteurRan2011 to 2023Enrolled2,200ConditionsImmune System and Related DisordersArmsCollection of samples (blood, stool, etc.), Genetic determinants analysis, Sample obtained after surgery performed in the context of care
NCT04426253 unknown statusnot on this mapstarted 2020, after this paper: background citation

Identification of Genetic Factors Determining Disease Course and Preparation of Pharmacogenetic Applications in the New Type of Coronavirus Infection, COVID-19

TypeobservationalSponsorSzeged UniversityRan2020 to 2021Enrolled1,000ConditionsCOVID-19, Sars-CoV2
3 · Its place in the literature

Who cites it

114 citing papers in PubMed, 6 syntheses or guidelines pooled it, 201 citations in OpenAlex.

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  2. Systematic review and modelling ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
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54 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

15 authors at 6 institutions in 4 countries.

Petar ScepanovicSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Cécile AlanioImmunobiology of Dendritic Cell Unit, Institut Pasteur, Paris, France.
Christian HammerSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Flavia HodelSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Jacob BergstedtDepartment of Automatic Control, Lund University, Lund, Sweden.
Etienne PatinUnit of Human Evolutionary Genetics, Department of Genomes and Genetics, Institut Pasteur, Paris, France.
Christian W ThorballSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Nimisha ChaturvediSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Bruno CharbitCenter for Translational Research, Institut Pasteur, Paris, France.
Laurent AbelLaboratory of Human Genetics of Infectious Diseases, Necker branch, Inserm U1163, Paris, France.
Lluis Quintana-MurciUnit of Human Evolutionary Genetics, Department of Genomes and Genetics, Institut Pasteur, Paris, France.
Darragh DuffyImmunobiology of Dendritic Cell Unit, Institut Pasteur, Paris, France.
Matthew L AlbertDepartment of Cancer Immunology, Genentech, South San Francisco, CA, USA. albert.matthew@gene.com.
Jacques FellaySchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. jacques.fellay@epfl.ch.ORCID 0000-0002-8240-939X
Milieu Intérieur Consortium
SIB Swiss Institute of Bioinformatics · CHInserm · FRCentre National de la Recherche Scientifique · FRGene Therapy Laboratory · FRInstitut Pasteur · FRLund University · SE

Funding

Agence Nationale de la Recherche 10-LABX-69-01Swiss National Science Foundation 31003A_175603
6 · The paper itself

Abstract

backgroundHumoral immune responses to infectious agents or vaccination vary substantially among individuals, and many of the factors responsible for this variability remain to be defined. Current evidence suggests that human genetic variation influences (i) serum immunoglobulin levels, (ii) seroconversion rates, and (iii) intensity of antigen-specific immune responses. Here, we evaluated the impact of intrinsic (age and sex), environmental, and genetic factors on the variability of humoral response to common pathogens and vaccines.

methodsWe characterized the serological response to 15 antigens from common human pathogens or vaccines, in an age- and sex-stratified cohort of 1000 healthy individuals (Milieu Intérieur cohort). Using clinical-grade serological assays, we measured total IgA, IgE, IgG, and IgM levels, as well as qualitative (serostatus) and quantitative IgG responses to cytomegalovirus, Epstein-Barr virus, herpes simplex virus 1 and 2, varicella zoster virus, Helicobacter pylori, Toxoplasma gondii, influenza A virus, measles, mumps, rubella, and hepatitis B virus. Following genome-wide genotyping of single nucleotide polymorphisms and imputation, we examined associations between ~ 5 million genetic variants and antibody responses using single marker and gene burden tests.

resultsWe identified age and sex as important determinants of humoral immunity, with older individuals and women having higher rates of seropositivity for most antigens. Genome-wide association studies revealed significant associations between variants in the human leukocyte antigen (HLA) class II region on chromosome 6 and anti-EBV and anti-rubella IgG levels. We used HLA imputation to fine map these associations to amino acid variants in the peptide-binding groove of HLA-DRβ1 and HLA-DPβ1, respectively. We also observed significant associations for total IgA levels with two loci on chromosome 2 and with specific KIR-HLA combinations.

conclusionsUsing extensive serological testing and genome-wide association analyses in a well-characterized cohort of healthy individuals, we demonstrated that age, sex, and specific human genetic variants contribute to inter-individual variability in humoral immunity. By highlighting genes and pathways implicated in the normal antibody response to frequently encountered antigens, these findings provide a basis to better understand disease pathogenesis. TRIALS REGISTRATION: ClinicalTrials.gov , NCT01699893.

Indexed as

Polymorphism, Single NucleotideAdultAgedAgingBacterial InfectionsFemaleHLA-D AntigensHumansImmunity, HumoralMaleMiddle AgedVaccinesVirus DiseasesHLA-D AntigensVaccinesAgeGWASHLAHuman genomicsHumoral immunityImmunoglobulinsInfectionSerologySexVaccination

Identifiers

PMID30053915
PMCPMC6063007
OpenAlexW2791131926

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.