TP53 c.629dup ;(p.N210Kfs*6)

Variant ID: 17-7578219-G-GT

NM_000546.5(TP53):c.629dup;(p.N210Kfs*6)

This variant was identified in 2 publications

View GRCh38 version.




Publications:


Multi-omic machine learning predictor of breast cancer therapy response.

Nature
Sammut, Stephen-John SJ; Crispin-Ortuzar, Mireia M; Chin, Suet-Feung SF; Provenzano, Elena E; Bardwell, Helen A HA; Ma, Wenxin W; Cope, Wei W; Dariush, Ali A; Dawson, Sarah-Jane SJ; Abraham, Jean E JE; Dunn, Janet J; Hiller, Louise L; Thomas, Jeremy J; Cameron, David A DA; Bartlett, John M S JMS; Hayward, Larry L; Pharoah, Paul D PD; Markowetz, Florian F; Rueda, Oscar M OM; Earl, Helena M HM; Caldas, Carlos C
Publication Date: 2022-01

Variant appearance in text: TP53: 629dupA
PubMed Link: 34875674
Variant Present in the following documents:
  • 41586_2021_4278_MOESM4_ESM.xlsx, sheet 2
View BVdb publication page



appreci8: a pipeline for precise variant calling integrating 8 tools.

Bioinformatics (Oxford, England)
Sandmann, Sarah S; Karimi, Mohsen M; de Graaf, Aniek O AO; Rohde, Christian C; Göllner, Stefanie S; Varghese, Julian J; Ernsting, Jan J; Walldin, Gunilla G; van der Reijden, Bert A BA; Müller-Tidow, Carsten C; Malcovati, Luca L; Hellström-Lindberg, Eva E; Jansen, Joop H JH; Dugas, Martin M
Publication Date: 2018-12-15

Variant appearance in text: TP53: 629dupA; Asn210fs
PubMed Link: 29945233
Variant Present in the following documents:
  • bty518_supplementary_data_s5.xlsx, sheet 8
  • bty518_supplementary_data_s10.xlsx, sheet 8
View BVdb publication page