Varaico: Literature-Extracted Genetic Variants

Gene:ERCC6
Variant:p.R666C
Back to variants list

ERCC6

NM_000124.4:p.R666C

Associated Papers

Exome sequencing reveals new insights into the germline landscape of inflammatory breast cancer among Tunisian patients.

Boujemaa M et al.

Journal of Translational Medicine, 2025

41088366 (PubMed )
Supplement: 12967_2025_7027_MOESM1_ESM.xlsx › S5

Genetic Landscape of a Cohort of 120 Patients with Diminished Ovarian Reserve: Correlation with Infertility.

Lafraoui I et al.

International Journal of Molecular Sciences, 2024

The evolutionary impact of childhood cancer on the human gene pool.

Stoltze UK et al.

Nature Communications, 2024

38424437 (PubMed )
Supplement: 41467_2024_45975_MOESM4_ESM.xlsx › Supplementary_Data_11

Polygenic Risk Score and Rare Variant Burden Identified by Targeted Sequencing in a Group of Patients with Pigment Epithelial Detachment in Age-Related Macular Degeneration.

Wąsowska A et al.

Genes, 2023

37761846 (PubMed )
Supplement: genes-14-01707-s001.zip › genes-2482546-supplementary › Supplementary_Table_S1.xlsx › Rare_variants

Genetic landscape of a large cohort of Primary Ovarian Insufficiency: New genes and pathways and implications for personalized medicine.

Heddar A et al.

Ebiomedicine, 2022

A comprehensive WGS-based pipeline for the identification of new candidate genes in inherited retinal dystrophies.

González-Del Pozo M et al.

Npj Genomic Medicine, 2022

35246562 (PubMed )
Supplement: 41525_2022_286_MOESM1_ESM.pdf

Consistent B Cell Receptor Immunoglobulin Features Between Siblings in Familial Chronic Lymphocytic Leukemia.

Kolijn PM et al.

Frontiers in Oncology, 2021

Nationwide germline whole genome sequencing of 198 consecutive pediatric cancer patients reveals a high incidence of cancer prone syndromes.

Byrjalsen A et al.

Plos Genetics, 2020

33332384 (PubMed )
Supplement: pgen.1009231.s001.xlsx › VUS

Identification of MicroRNA-Related Tumorigenesis Variants and Genes in the Cancer Genome Atlas (TCGA) Data.

Li C et al.

Genes, 2020

32824926 (PubMed )
Supplement: genes-11-00953-s001.zip › Table_S4.xlsx › Sheet1

A novel patient-derived organoids-based xenografts model for preclinical drug response testing in patients with colorectal liver metastases.

Jian M et al.

Journal of Translational Medicine, 2020

32532289 (PubMed )
Supplement: 12967_2020_2407_MOESM2_ESM.xlsx › Table_S1D_CCF_pairs

Tumor sequencing is useful to refine the analysis of germline variants in unexplained high-risk breast cancer families.

Van Marcke C et al.

Breast Cancer Research : Bcr, 2020

32295625 (PubMed )
Supplement: 13058_2020_1273_MOESM1_ESM.xlsx › Table_S2

Deep multi-region whole-genome sequencing reveals heterogeneity and gene-by-environment interactions in treatment-naive, metastatic lung cancer.

Leong TL et al.

Oncogene, 2019

30348992 (PubMed )
Supplement: 41388_2018_536_MOESM6_ESM.xlsx › Germline_Variants

Whole-exome sequencing identifies germline mutation in TP53 and ATRX in a child with genomically aberrant AT/RT and her mother with anaplastic astrocytoma.

Nordfors K et al.

Cold Spring Harbor Molecular Case Studies, 2018

29602769 (PubMed )
Supplement: supp_mcs.a002246_Supplemental_Table_1.xlsx › Only_in_child

Germline mutations in candidate predisposition genes in individuals with cutaneous melanoma and at least two independent additional primary cancers.

Pritchard AL et al.

Plos One, 2018

29641532 (PubMed )
Supplement: pone.0194098.s003.xlsx › UK10K_DNArep

Human primary liver cancer-derived organoid cultures for disease modeling and drug screening.

Broutier L et al.

Nature Medicine, 2017

29131160 (PubMed )
Supplement: NIHMS74480-supplement-Supplementary_Dataset_4.xlsx › S3_HCC-3_coding_SNVs

A knowledge-based framework for the discovery of cancer-predisposing variants using large-scale sequencing breast cancer data.

Melloni GEM et al.

Breast Cancer Research : Bcr, 2017

28569218 (PubMed )
Supplement: 13058_2017_854_MOESM3_ESM.xlsx › Table_S6

A comprehensive custom panel design for routine hereditary cancer testing: preserving control, improving diagnostics and revealing a complex variation landscape.

Castellanos E et al.

Scientific Reports, 2017

The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data.

Tang X et al.

Nucleic Acids Research, 2014

25352556 (PubMed )
Supplement: supp_gku1005_nar-01266-met-n-2014-File012.xlsx › TCGA-A8-A082-01A.domain
Select a paper to view details
UCSC Genome Browser·Imprint·Privacy·Terms·Feedback·Email Updates·

Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."