eprintid: 37374
rev_number: 16
eprint_status: archive
userid: 9288
dir: disk0/00/03/73/74
datestamp: 2025-10-07 12:20:32
lastmod: 2025-10-13 12:08:51
status_changed: 2025-10-07 12:20:32
type: article
metadata_visibility: show
creators_name: Güler, Murat
creators_name: Canzian, Federico
title: Clustering of lymphoid neoplasms by cell of origin, somatic mutation and drug usage profiles: a multi-trait genome-wide association study
subjects: ddc-610
divisions: i-51001
divisions: i-850300
note: Blood Cancer Journal volume 15, Article number: 147 (2025)
abstract: Lymphoid neoplasms (LNs) are heterogeneous malignancies arising from lymphoid cells, displaying diverse clinical and molecular features. Although LNs are collectively frequent, individual subtypes are rare, posing challenges for genetic association studies. Indeed, genome-wide association studies (GWAS) explained only a fraction of the heritability. Shared genetic susceptibility and overlapping risk factors suggest a partially common etiology across subtypes. We employed a multi-trait GWAS strategy to improve discovery power by leveraging pleiotropy among LN subtypes. We defined LN phenoclusters based on cell of origin, somatic mutation profiles, and approved therapeutic agents. Using data from three large cohorts—the UK Biobank, Million Veteran Program, and FinnGen—we analyzed 31,937 LN cases and 1.2 million controls across 8 individual subtypes and 7 phenoclusters. We replicated the novel associations in two independent cohorts (All of Us and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial) with 2892 LN cases and 165,791 controls. We identified 76 genome-wide significant loci for individual subtypes or subtype clusters, including 20 novel associations. We identified the subtypes contributing to each locus, putative candidate causal variants, and genes underlying the associations, and found enrichment of specific cell types, biological processes, and drugs associated with LN risk genes. Overall, this study identified new LN genetic risk loci and candidate genes, providing insights that may inform novel therapeutic approaches.
date: 2025
publisher: Springer Nature
id_scheme: DOI
id_number: 10.11588/heidok.00037374
official_url: https://doi.org/10.1038/s41408-025-01351-4
ppn_swb: 1938300572
own_urn: urn:nbn:de:bsz:16-heidok-373745
language: eng
bibsort: GULERMURATCLUSTERING20250829
full_text_status: public
publication: Blood Cancer Journal
volume: 15
place_of_pub: London
pagerange: 1-15
issn: 2044-5385
edition: Zweitveröffentlichung
citation:   Güler, Murat ; Canzian, Federico  (2025) Clustering of lymphoid neoplasms by cell of origin, somatic mutation and drug usage profiles: a multi-trait genome-wide association study.  Blood Cancer Journal, 15.  pp. 1-15.  ISSN 2044-5385     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/37374/7/Gueler_Clustering_lymphoid_2025.pdf