Faculty, Staff and Student Publications
Language
English
Publication Date
11-10-2025
Journal
Cancers
DOI
10.3390/cancers17223611
PMID
41300981
PMCID
PMC12651453
PubMedCentral® Posted Date
11-10-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Background/objectives: Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis.
Methods: Multipoint linkage analysis was conducted using the Multipoint Engine for Rapid Likelihood Inference (MERLIN) with the Lander-Green algorithm on germline WES data from 79 pedigrees with 2 or more affected relatives (120 MM, 86 MGUS, and 21 unaffected). Genome-wide linkage was evaluated using 12,946 independent single-nucleotide variants (linkage disequilibrium r2 < 0.05).
Results: Significant linkage was observed at chromosome 6q22.33-q24.2 by the non-parametric model (logarithm-of-odds (LOD) = 3.3) and suggestive linkage by the dominant parametric model (heterogeneity LOD (HLOD) = 2.5). Fourteen rare variants within this region were prioritized using family-specific partial LOD scores and in silico functional prediction tools. Nine of these variants, REPS1, THEMIS, TAAR6, AHI1, VNN1, VNN3, MTFR2/FAM54A, LAMA2, and PHACTR2, overlapped immune-regulatory regions in blood cell lines and were not previously identified in GWASs.
Conclusions: This study demonstrates the utility of applying a linkage analysis framework to familial WES data for identifying genomic regions and candidate genes that may contribute to MM/MGUS predisposition. These findings provide new insight into the inherited risk and etiology of familial MM and MGUS.
Keywords
whole-exome sequencing, linkage analysis, multiple myeloma, monoclonal gammopathy of undetermined significance, family study
Published Open-Access
yes
Recommended Citation
Clay-Gilmour, Alyssa I; Camp, Nicola J; Wei, Xiaomu; et al., "Whole-Exome Sequencing-Based Linkage Analysis of Multiple Myeloma (MM) and Monoclonal Gammopathy of Undetermined Significance (MGUS) Pedigrees" (2025). Faculty, Staff and Student Publications. 5784.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/5784
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