Reclassification of variants of uncertain significance by race, ethnicity, and ancestry for patients at risk for breast cancer

Our findings demonstrate that REA is not significantly associated with VUS reclassification or time to reclassification, with the majority of VUS being downgraded across REA. This study allows for improved and more equitable genetic counseling. It may also provide more reassurance to those groups that may have a higher likelihood of VUS results.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-02-18
DOI
https://doi.org/10.3389/fonc.2025.1455509
Citations
7
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
12.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reclassification of variants of uncertain significance by race, ethnicity, and ancestry for patients at risk for breast cancer

Versha Pleasant, Kristen S. Purrington, Kara J. Milliron, Blair Richards et al.
7 citations
Frontiers in Oncology
BRCA gene mutations in cancer
12.72
article

Reclassification of variants of uncertain significance by race, ethnicity, and ancestry for patients at risk for breast cancer

Versha Pleasant, Kristen S. Purrington, Kara J. Milliron, Blair Richards, James E. Boggan, Sofia Diana Merajver, Michael R. Simon
article en
7 citations

Abstract

Our findings demonstrate that REA is not significantly associated with VUS reclassification or time to reclassification, with the majority of VUS being downgraded across REA. This study allows for improved and more equitable genetic counseling. It may also provide more reassurance to those groups that may have a higher likelihood of VUS results.

Frontiers in OncologyVol. 15
Wayne State University (US), University of Michigan (US), The Barbara Ann Karmanos Cancer Institute (US)
Michigan Institute for Clinical and Health Research, National Center for Advancing Translational Sciences
Openalex Percentile: Top 1%
BRCA gene mutations in cancer
12.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.