Associated Papers
UNISOM: Unified Somatic Calling and Machine Learning-based Classification Enhance the Discovery of CHIP.
Tian S et al.
Genomics, Proteomics & Bioinformatics, 2025
40300108 (PubMed )
Supplement: qzaf040_supplementary_data.zip › Table_S6.xlsx › Sheet1
Comparative analysis of the Mexico City Prospective Study and the UK Biobank identifies ancestry-specific effects on clonal hematopoiesis.
Wen S et al.
Nature Genetics, 2025
39948438 (PubMed )
Supplement: 41588_2025_2085_MOESM4_ESM.xlsx › ST_5
ASXL1 mutations accelerate bone marrow fibrosis via EGR1-TNFA axis-mediated neoplastic fibrocyte generation in myeloproliferative neoplasms.
Shi Z et al.
Haematologica, 2023
36005555 (PubMed )
Supplement: 2021_280320_SHI_SUPPL.pdf
Cancer-driving mutations are enriched in genic regions intolerant to germline variation.
Vitsios D et al.
Science Advances, 2022
36026442 (PubMed )
Supplement: sciadv.abo6371_tables_s1_to_s13.zip › sciadv.abo6371_tables_s1_to_s13.xlsx › S4
Pan-cancer whole-genome analyses of metastatic solid tumours.
Priestley P et al.
Nature, 2019
31645765 (PubMed )
Supplement: 41586_2019_1689_MOESM14_ESM.xlsx › Sheet1
Growth disrupting mutations in epigenetic regulatory molecules are associated with abnormalities of epigenetic aging.
Jeffries AR et al.
Genome Research, 2019
31160375 (PubMed )
Supplement: supp_gr.243584.118_Supplemental_Material.pdf
Age-related mutations and chronic myelomonocytic leukemia.
Mason CC et al.
Leukemia, 2016
26648538 (PubMed )
Supplement: 41375_2016_BFleu2015337_MOESM120_ESM.xlsx › ST10
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