Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age

Variations in immune-cell fractions can confound or hamper interpretation of DNAm-based biomarkers in blood. Although cell-type deconvolution can address this challenge for cord and adult blood, currently there is no method applicable to blood from other age groups, including infants and children. Here we construct and extensively validate a DNAm reference panel, called UniLIFE, for 19 immune cell-types, applicable to blood tissue of any age. We use UniLIFE to delineate the dynamics of immune-cell fractions from birth to old age, and to infer disease associated immune cell fraction variations in newborns, infants, children and adults. In a prospective longitudinal study of type-1 diabetes in infants and children, UniLIFE identifies differentially methylated positions that precede type-1 diabetes diagnosis and that map to diabetes related signaling pathways. In summary, UniLIFE will improve the identification and interpretation of blood-based DNAm biomarkers for any age group, but specially for longitudinal studies that include infants and children. The UniLIFE panel and algorithms to estimate cell-type fractions are available from our EpiDISH Bioconductor R-package: https://bioconductor.org/packages/release/bioc/html/EpiDISH.html.

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Publication Details

Journal
Genome Medicine
Published
2025-05-27
DOI
https://doi.org/10.1186/s13073-025-01489-7
Citations
5
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
9.09

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article

Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age

Shijie Zheng, Mohd Roslan Sulaiman, Andrew E. Teschendorff, Charlotte A. M. Cecil et al.
5 citations
Genome Medicine
Diabetes and associated disorders
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article

Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age

Shijie Zheng, Mohd Roslan Sulaiman, Andrew E. Teschendorff, Charlotte A. M. Cecil, Alexander Neumann, Xiaolong Guo, Bastiaan T. Heijmans
article en
5 citations

Abstract

Variations in immune-cell fractions can confound or hamper interpretation of DNAm-based biomarkers in blood. Although cell-type deconvolution can address this challenge for cord and adult blood, currently there is no method applicable to blood from other age groups, including infants and children. Here we construct and extensively validate a DNAm reference panel, called UniLIFE, for 19 immune cell-types, applicable to blood tissue of any age. We use UniLIFE to delineate the dynamics of immune-cell fractions from birth to old age, and to infer disease associated immune cell fraction variations in newborns, infants, children and adults. In a prospective longitudinal study of type-1 diabetes in infants and children, UniLIFE identifies differentially methylated positions that precede type-1 diabetes diagnosis and that map to diabetes related signaling pathways. In summary, UniLIFE will improve the identification and interpretation of blood-based DNAm biomarkers for any age group, but specially for longitudinal studies that include infants and children. The UniLIFE panel and algorithms to estimate cell-type fractions are available from our EpiDISH Bioconductor R-package: https://bioconductor.org/packages/release/bioc/html/EpiDISH.html.

Genome MedicineVol. 17(1)
Pfizer (United States) (US), Leiden University Medical Center (NL), Shanghai Institute of Nutrition and Health (CN)
National Natural Science Foundation of China, HORIZON EUROPE European Research Council
Zero hunger
Openalex Percentile: Top 2%
Diabetes and associated disorders
9.09
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