Identifying the germline variation spectrum and predisposition genes in Chinese ovarian cancer using whole exome sequencing

Using WES, we found that 28.26% of patients with OC had germline cancer-predisposing variations. WES substantially improved the detection rates of a wide spectrum of variations in OC patients and uncovered putative predisposition genes.

Authors

Institutions

Publication Details

Journal
BMC Cancer
Published
2025-05-22
DOI
https://doi.org/10.1186/s12885-025-14302-w
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Identifying the germline variation spectrum and predisposition genes in Chinese ovarian cancer using whole exome sequencing

Fenglan Zhang, Hao Qiu, Xiao Zhang, Qian Zhu et al.
1 links
BMC Cancer
Cancer-related molecular mechanisms research
article

Identifying the germline variation spectrum and predisposition genes in Chinese ovarian cancer using whole exome sequencing

Fenglan Zhang, Hao Qiu, Xiao Zhang, Qian Zhu, Lan Qin, Xiaojing Guan, Sheng Liao
article en

Abstract

Using WES, we found that 28.26% of patients with OC had germline cancer-predisposing variations. WES substantially improved the detection rates of a wide spectrum of variations in OC patients and uncovered putative predisposition genes.

BMC CancerVol. 25(1)
Dian Diagnostics (China) (CN)
Department of Education of Zhejiang Province
Zero hunger
Openalex Percentile: Top 85%
Cancer-related molecular mechanisms research
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.