TAF1L c.408G>A ;(p.S136=)

Variant ID: 9-32635170-C-T

NM_153809.2(TAF1L):c.408G>A;(p.S136=)

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: TAF1L: 408G>A
PubMed Link: 34875674
Variant Present in the following documents:
  • 41586_2021_4278_MOESM4_ESM.xlsx, sheet 2
View BVdb publication page



Multilevel genomics of colorectal cancers with microsatellite instability-clinical impact of JAK1 mutations and consensus molecular subtype 1.

Genome Medicine
Sveen, Anita A; Johannessen, Bjarne B; Tengs, Torstein T; Danielsen, Stine A SA; Eilertsen, Ina A IA; Lind, Guro E GE; Berg, Kaja C G KCG; Leithe, Edward E; Meza-Zepeda, Leonardo A LA; Domingo, Enric E; Myklebost, Ola O; Kerr, David D; Tomlinson, Ian I; Nesbakken, Arild A; Skotheim, Rolf I RI; Lothe, Ragnhild A RA
Publication Date: 2017-05-24

Variant appearance in text: TAF1L: S136S
PubMed Link: 28539123
Variant Present in the following documents:
  • 13073_2017_434_MOESM1_ESM.xlsx, sheet 5
View BVdb publication page