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, Lluis Quintana-Murci, Darragh Duffy, Matthew L Albert, Jacques Fellay

Journal: Genome medicine 2018;10(1):59

PMID: 30053915

Abstract

BACKGROUND

Humoral 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.

METHODS

We 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.

RESULTS

We 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.

CONCLUSIONS

Using 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.

Address: School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.; Swiss Institute of Bioinformatics, Lausanne, Switzerland.; Immunobiology of Dendritic Cell Unit, Institut Pasteur, Paris, France.; Center for Translational Research, Institut Pasteur, Paris, France.; Inserm U1223, Institut Pasteur, Paris, France.; Department of Cancer Immunology, Genentech, South San Francisco, CA, USA.; Department of Automatic Control, Lund University, Lund, Sweden.; Unit of Human Evolutionary Genetics, Department of Genomes and Genetics, Institut Pasteur, Paris, France.; Centre National de la Recherche Scientifique, URA 3012, Paris, France.; Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, 75015, Paris, France.; Laboratory of Human Genetics of Infectious Diseases, Necker branch, Inserm U1163, Paris, France.; Imagine Institute, Paris Descartes University, Paris, France.; St Giles laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA.; Department of Cancer Immunology, Genentech, South San Francisco, CA, USA. [email protected].; School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. [email protected].; Swiss Institute of Bioinformatics, Lausanne, Switzerland. [email protected].; Precision Medicine Unit, Lausanne University Hospital, Lausanne, Switzerland. [email protected].
Bant logo

© Copyright 2026, Nutrition Evidence

NED wishes to thank the following organisations for their support:

We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.