Varaico: Literature-Extracted Genetic Variants

Gene:TEKT4
Variant:p.T83M
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TEKT4

NM_144705.4:p.T83M

Associated Papers

ACE Phenotyping in Human Blood and Tissues: Revelation of ACE Outliers and Sex Differences in ACE Sialylation.

Enyedi EE et al.

Biomedicines, 2024

38790902 (PubMed )
Supplement: biomedicines-12-00940-s001.zip › biomedicines-2930173-supplementary.pdf

Genomic characteristics and immune landscape of super multiple primary lung cancer.

Yang Z et al.

Ebiomedicine, 2024

38364701 (PubMed )
Supplement: mmc2.xlsx › all_212.somatic.igv_recheck.mut

Indicators of HSV1 Infection, ECM-Receptor Interaction, and Chromatin Modulation in a Nuclear Family with Schizophrenia.

Huang YC et al.

Journal of Personalized Medicine, 2023

37763159 (PubMed )
Supplement: jpm-13-01392-s001.zip › Supplementary_Table_S3.xlsx › Variants

Bi-allelic mutation in SEC16B alters collagen trafficking and increases ER stress.

El-Gazzar A et al.

Embo Molecular Medicine, 2023

36916446 (PubMed )
Supplement: EMMM-15-e16834-s012.xlsx › WES_SEC16B_mutant

Characterization of somatic mutations and pathway alterations during hepatocellular carcinoma vascular invasion using next-generation sequencing.

Li Q et al.

Journal of Gastrointestinal Oncology, 2022

36092348 (PubMed )
Supplement: jgo-13-04-1864-supplementary.pdf

Prioritization of candidate genes for a South African family with Parkinson's disease using in-silico tools.

Sebate B et al.

Plos One, 2021

33770142 (PubMed )
Supplement: pone.0249324.s003.xlsx › 8772__III-8__

Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations.

Fragoza R et al.

Nature Communications, 2019

31515488 (PubMed )
Supplement: 41467_2019_11959_MOESM11_ESM.xlsx › SD7_-_Drug_Targets

Three-dimensional modelling identifies novel genetic dependencies associated with breast cancer progression in the isogenic MCF10 model.

Maguire SL et al.

The Journal of Pathology, 2016

27512948 (PubMed )
Supplement: PATH-240-315-s015.xlsx › Table_S2

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-A091-01A.domain
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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."