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snp 6.0 microarray data  (Thermo Fisher)


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    Thermo Fisher snp 6.0 microarray data
    Snp 6.0 Microarray Data, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/snp+microarray+data/pmc08908645-46-2-1
    Average 90 stars, based on 1 article reviews
    snp 6.0 microarray data - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Molecular and pharmacological heterogeneity of ETV6 :: RUNX1 acute lymphoblastic leukemia
    Article Snippet: Copy number variants were called from whole genome sequencing data using CONSERTING , or from SNP 6.0 arrays (Affymetrix) using reference normalization and circular binary segmentation .

    Article Title: Correlates and Consequences of Clonal Hematopoiesis Expansion Rate: A 15-Year Longitudinal Study of 6,986 Women
    Article Snippet: Genome-wide genotyping was performed using either Affymetrix SNP 6.0 or Illumina MEGA genotyping arrays and subsequently imputed using the TOPMed reference panel ( Supplemental Methods )., Association with growth rate was assessed using a generalized linear model (GLM) adjusted for age at LLS, age at LLS squared, race/ethnicity, genotyping array, and the first 10 genetic principal components (PCs).

    Article Title: Deregulation mechanisms and therapeutic opportunities of p53-responsive microRNAs in diffuse large B-cell lymphoma
    Article Snippet: The results of profiling of 396 DLBCL samples using Affymetrix SNP 6.0 microarrays were analyzed.

    Article Title: Genomic and phenotypic stability of fusion-driven pediatric sarcoma cell lines
    Article Snippet: Preprocessed single nucleotide polymorphism array (Affymetrix SNP 6.0) derived CN analysis data from the Cancer Cell Line Encyclopedia (CCLE) for A-673, and MCF-7 wild-type cell lines were retrieved from DepMap portal .

    Article Title: Molecular and pharmacological heterogeneity of ETV6::RUNX1 acute lymphoblastic leukemia.
    Article Snippet: Copy number variants were called from whole genome sequencing data using CONSERTING48, or from SNP 6.0 arrays (Affymetrix) using reference normalization49 and circular binary segmentation50.

    Article Title: ZIC1 is a context-dependent medulloblastoma driver in the rhombic lip
    Article Snippet: The Affymetrix SNP 6.0 data referenced during the study are available in the GEO database under the accession GSE37385 .

    Article Title: Deregulation mechanisms and therapeutic opportunities of p53-responsive microRNAs in diffuse large B-cell lymphoma
    Article Snippet: The Affymetrix SNP 6.0 microarrays and NGS data were obtained from the cBioPortal for Cancer Genomics database ( https://www.cbioportal.org/ ) ( ).

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    Article Title: Genomic and phenotypic stability of fusion-driven pediatric sarcoma cell lines.
    Article Snippet: .. Preprocessed single nucleotide polymorphism array (Affymetrix SNP 6.0) derived CN analysis data fromtheCancer Cell Line Encyclopedia (CCLE)2 for A-673, and MCF-7 wild-type cell lines were retrieved from DepMap portal13. ..



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    Summary of major studies associating L-CH with lymphoid malignancy.

    Journal: Blood Cancer Journal

    Article Title: Lymphoid clonal hematopoiesis: implications for malignancy, immunity, and treatment

    doi: 10.1038/s41408-022-00773-8

    Figure Lengend Snippet: Summary of major studies associating L-CH with lymphoid malignancy.

    Article Snippet: Niroula et al. (2021) , Detection of SNVs/indels in WES data at 56 M-CH related genes and 235 genes recurrently mutated in lymphoid malignancy (VAF > 2%). mCAs were previously detected in a prior study. CH and mCAs were excluded if they were detected less than 6 months before a hematologic malignancy diagnosis. , 420,969 individuals with SNP microarray data and 55,383 individuals with WES from the UK Biobank and Mass General Brigham Biobank , CHIP occurs at both M-CHIP/M-mCA and L-CHIP/L-mCA loci and increases with age. M-CH and L-CH loci clearly segregate on the incidence myeloid and lymphoid malignancy. M-CHIP is dominated by DNMT3A, TET2, and ASXL1 somatic mutants, while L-CHIP is spread more evenly across a large number of genes. CLL was the dominant lymphoid malignancy occurring subsequent to L-CH. , [ ] .

    Techniques: Genome Wide, Sequencing, Mutagenesis, Clone Assay, Biomarker Discovery, Microarray, DNA Sequencing, Clinical Proteomics