Whole-Exome Sequencing-Based Linkage Analysis of Multiple Myeloma (MM) and Monoclonal Gammopathy of Undetermined Significance (MGUS) Pedigrees

Alyssa Clay‐Gilmour; Nicola J. Camp; Xiaomu Wei; Angel Earle; Aaron D. Norman; Jason P. Sinnwell; Delphine Demangel; R. L. Griffin; Charles Dumontet; James McKay; Kenneth Offit; Joseph Vijai; Siwei Chen; Daniel O’Brien; S. Vincent Rajkumar; Robert J. Klein; Shaji Kumar; Steven M. Lipkin; Celine M. Vachon

doi:10.3390/cancers17223611

Ask about this paper

Answers are grounded in this paper and cite their sources.

Abstract

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.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Clay‐Gilmour et al. (2025) studied this question.

synapsesocial.com/papers/69c9f136937a4bbd1a83b1c6 https://doi.org/10.3390/cancers17223611

View Full Paper

Ask AI

Bookmark

Share

Whole-Exome Sequencing-Based Linkage Analysis of Multiple Myeloma (MM) and Monoclonal Gammopathy of Undetermined Significance (MGUS) Pedigrees

Ask about this paper

Abstract

Discussion

Cite This Study

Whole-Exome Sequencing-Based Linkage Analysis of Multiple Myeloma (MM) and Monoclonal Gammopathy of Undetermined Significance (MGUS) Pedigrees

Ask about this paper

Abstract

Discussion

Cite This Study

Keep reading

Keep reading