Tonsillar expression quantitative trait loci verify and expand genetic contributors to childhood atopic diseases

The spectrum of causal variants, mechanisms, and immunologic gene networks that influence pediatric atopic traits are not completely understood. Human genetic variation associated with transcript abundance (eQTLs) can help to advance our understanding, yet prior work has focused on profiling immune cell populations collected from peripheral blood primarily in adult populations, leaving uncharacterized tissue-resident lymphocytes collected from children. Here, we paired genotyping with gene expression profiling across four populations of tonsil-derived immune cell types - including previously uncharacterized germinal center B cells - collected from 103 children across development (ages 1-18). Using these data, we report cell-type specific gene networks and identify 13,393 eGenes (1,793 eGenes not previously reported in similar datasets) influenced by 27,603 eQTLs (5,199 not previously reported). We link discovered eQTLs to associations identified in pediatric and adult asthma and atopy traits, nominating 78 eGenes like <i>TRAF3</i> , <i>ZBTB10</i> and <i>JAZF1</i> in disease relevant cell types. Our resource is freely available and exemplifies the importance of discovery in native tissues and across human development.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-03-17
DOI
https://doi.org/10.64898/2026.03.13.711667
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
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article

Tonsillar expression quantitative trait loci verify and expand genetic contributors to childhood atopic diseases

Carole Le Coz, Karen B. Zur, Kimberly Lorenz, Samuel Yoon et al.
bioRxiv (Cold Spring Harbor Laboratory)
Asthma and respiratory diseases
article

Tonsillar expression quantitative trait loci verify and expand genetic contributors to childhood atopic diseases

Carole Le Coz, Karen B. Zur, Kimberly Lorenz, Samuel Yoon, Neil Romberg, Andrew Wells, Benjamin F. Voight
article en

Abstract

The spectrum of causal variants, mechanisms, and immunologic gene networks that influence pediatric atopic traits are not completely understood. Human genetic variation associated with transcript abundance (eQTLs) can help to advance our understanding, yet prior work has focused on profiling immune cell populations collected from peripheral blood primarily in adult populations, leaving uncharacterized tissue-resident lymphocytes collected from children. Here, we paired genotyping with gene expression profiling across four populations of tonsil-derived immune cell types - including previously uncharacterized germinal center B cells - collected from 103 children across development (ages 1-18). Using these data, we report cell-type specific gene networks and identify 13,393 eGenes (1,793 eGenes not previously reported in similar datasets) influenced by 27,603 eQTLs (5,199 not previously reported). We link discovered eQTLs to associations identified in pediatric and adult asthma and atopy traits, nominating 78 eGenes like <i>TRAF3</i> , <i>ZBTB10</i> and <i>JAZF1</i> in disease relevant cell types. Our resource is freely available and exemplifies the importance of discovery in native tissues and across human development.

bioRxiv (Cold Spring Harbor Laboratory)
Centre National de la Recherche Scientifique (FR), Children's Hospital of Philadelphia (US), Inserm (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Yale University (US), Toulouse Mathematics Institute (FR), Translational Therapeutics (United States) (US), Philadelphia VA Medical Center (US), University of Pennsylvania (US)
Openalex Percentile: Top 18%
Asthma and respiratory diseases
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