Varaico: Literature-Extracted Genetic Variants

Gene:MICA
Variant:p.E196K
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MICA

NM_001177519.3:p.E196K

Associated Papers

Human iPSC-based breast cancer model identifies S100P-dependent cancer stemness induced by BRCA1 mutation.

Liu J et al.

Science Advances, 2025

40712032 (PubMed )
Supplement: sciadv.adi2370_tables_s8_and_s9.zip › adi2370_table_s9.xlsx › BRCA1-mutant_corrected_iPSC

Deep analysis of the major histocompatibility complex genetic associations using covariate analysis and haploblocks unravels new mechanisms for the molecular etiology of Elite Control in AIDS.

Rahmouni M et al.

Bmc Immunology, 2025

39762745 (PubMed )
Supplement: 12865_2024_680_MOESM2_ESM.xlsx › Supp-table5

Trio-based exome sequencing and high-resolution HLA typing in families of patients with autoimmune adrenal insufficiency and autoimmune polyglandular syndrome.

Buianova A et al.

Plos One, 2024

39423205 (PubMed )
Supplement: pone.0312335.s007.xlsx › Family_B

Exome variants associated with asthma and allergy.

Wjst M

Scientific Reports, 2022

36470944 (PubMed )
Supplement: 41598_2022_24960_MOESM1_ESM.pdf

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

29083407 (PubMed )
Supplement: NIHMS909133-supplement-2.xlsx › Supplementary_Table_11

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
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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."