Varaico: Literature-Extracted Genetic Variants

Gene:MGAT1
Variant:p.L435P
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MGAT1

NM_002406.4:p.L435P

Associated Papers

Sustained HIV-1 remission after heterozygous CCR5Δ32 stem cell transplantation.

Gaebler C et al.

Nature, 2026

41326734 (PubMed )
Supplement: 41586_2025_9893_MOESM5_ESM.xlsx › filtered_HIV_CD4_binding_putati

Proteogenomic Profiling of Treatment-Naïve Metastatic Malignant Melanoma.

Kuras M et al.

Cancers, 2025

40075679 (PubMed )
Supplement: cancers-17-00832-s001.zip › Table_S5._SAAVs.xlsx › Table_S5A

Case report: Whole-exome sequencing identifies a novel DES mutation (p. E434K) in a Chinese family with cardiomyopathy and sudden cardiac death.

Liu YX et al.

Frontiers in Cardiovascular Medicine, 2022

36277747 (PubMed )
Supplement: Data_Sheet_1.xls › Data_Sheet_1

Integrated Genomic, Functional, and Prognostic Characterization of Atypical Chronic Myeloid Leukemia.

Fontana D et al.

Hemasphere, 2020

33196013 (PubMed )
Supplement: hs9-4-e497-s007.xlsx › Sheet1

Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease.

Lu X et al.

Nature Genetics, 2017

Codon-level co-occurrences of germline variants and somatic mutations in cancer are rare but often lead to incorrect variant annotation and underestimated impact prediction.

Koire A et al.

Plos One, 2017

28350864 (PubMed )
Supplement: pone.0174766.s004.xlsx › Sheet1

Identification of HPV integration and gene mutation in HeLa cell line by integrated analysis of RNA-Seq and MS/MS data.

Sun H et al.

Journal of Proteome Research, 2015

25698088 (PubMed )
Supplement: pr500944c_si_009.xlsx › SNV

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-A2-A04Y-01A.domain

Integrated mRNA and microRNA transcriptome sequencing characterizes sequence variants and mRNA-microRNA regulatory network in nasopharyngeal carcinoma model systems.

Szeto CY et al.

Febs Open Bio, 2014

24490137 (PubMed )
Supplement: mmc5.xlsx › coding
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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."