Evidence map›Paper›PMID 40475565›Full record

ArticlebioRxiv : the preprint server for biology2025

Human genetic variation shapes the antibody repertoire across B cell development.

Oscar L Rodriguez, Xiang Qiu, Kaitlyn Shields, Christoper Dunn, Amit Singh, Mary Kaileh, Corey T Watson, Ranjan Sen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Oscar L RodriguezDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA.
Xiang QiuLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD 21224, USA.
Kaitlyn ShieldsDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA.
Christoper DunnLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD 21224, USA.
Amit SinghLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD 21224, USA.
Mary KailehLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD 21224, USA.
Corey T WatsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA.
Ranjan SenLaboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD 21224, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The peripheral antibody repertoire is shaped by inherited genetic variation and selection during B cell development. However, how the repertoire changes across developmental stages-and the relative impact of genetics and selection in establishing the antibody repertoire-remain largely unknown. To dissect the individual and combined effects of these factors, we integrated antibody repertoire transcriptomics across pro-B, pre-B, immature, and naive B cells with single-molecule real-time long-read DNA sequencing of the immunoglobulin heavy (IGH), kappa (IGK), and lambda (IGL) chain loci. We find that IGH genetic variants establish gene usage biases at the pro-B stage that persist throughout development. In contrast, IGK and IGL repertoires are extensively remodeled during maturation, consistent with receptor editing. Surprisingly, IGH variants also exert trans effects on light chain gene usage, suggesting coordinated constraints on heavy-light chain pairing. Principal component and allele-specific analyses reveal that genetics primarily shapes the heavy chain repertoire, while selection more strongly influences light chain diversity. These findings define distinct dynamics of antibody repertoire development and underscore the importance of personal immunogenomics in understanding individual immune responses.

Identifiers

PMID40475565
PMCPMC12139920

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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.