Project description:Illumina whole genome SNP (single nucleotide polymorphism) microarray analysis was carried out on the patient in order to determine copy number variations and to assess their disease etiopathogenesis.
Project description:The identification of surrogate single nucleotide polymorphism (SNP) markers that can predict responses to preoperative chemoradiotherapy (CRT) in rectal cancer patients. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of tumor regression after CRT. We used Affymetrix’s SNP Array 6.0 to detail genetic polymorphism of patient’s group showing differential responsiveness to preoperative CRT and profiled SNP biomarkers.
Project description:The identification of surrogate single nucleotide polymorphism (SNP) markers that can predict responses to chemotherapy could enable the efficient selection of patients for various regimens. Genome-wide association studies in clinical populations are theoretically capable of identifying markers that are capable of influencing drug responses. We used Affymetrix’s SNP Array 6.0 to detail genetic polymorphism of patient’s group showing differential responsiveness to various regimens and profiled SNP biomarkers for various regimens.
Project description:We performed whole genome single nucleotide polymorphism (SNP) based analysis of all available Venezuelan equine encephalitis (VEE) virus antigenic complex genomes and developed a high resolution genome-wide SNP microarray. We used the SNP microarray to analyze a broad panel of VEEV isolates, found excellent concordance between array and sequence based genotypes for previously sequenced strains, and genotyped unsequenced strains.
Project description:Chromosomal abnormalities have been identified in some individuals with Autism Spectrum Disorder (ASD), but their full etiologic role is unknown. Submicroscopic copy number variation (CNV) represents a considerable source of genetic variation in the human genome that contributes to phenotypic differences and disease susceptibility. To explore the contribution CNV imbalances in ASD, we genotyped unrelated ASD index cases using the Affymetrix GeneChip® 500K single nucleotide polymorphism (SNP) mapping array. Keywords: Whole Genome Mapping SNP Genotyping Array
Project description:We performed single nucleotide polymorphism (SNP) array profiling on 9 early T-cell precursor lymphoblastic lymphoma and 15 non-early T-cell precursor lymphoblastic lymphoma cases. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from unstained slides.
Project description:Sex chromosomal abnormalities areare associated with multiple defects. In this study, we retrospectively analyzed the single nucleotide polymorphism (SNP) arrays of 186 early embryos with sex chromosomal abnormalities. using single nucleotide polymorphism (SNP) array. Among them, 52 cases of Turner syndrome, 21 cases of triple X syndrome, 35 cases of Klinefelter syndrome and 14 cases of XYY syndrome were detected. Moreover, 27 cases of mosaic sex chromosomal abnormalities were determined. Sex chromosomal deletions and duplications were found in 37 cases. Overall, our results presented a detailed manifestation of sex chromosomal abnormalities.
Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations in cases where morphology was unable to definitively classify these tumors. Keywords: Chromosome copy number and LOH analysis (virtual karyotyping) with SNP Genotyping Arrays Keywords: Genome variation profiling by SNP array
Project description:Cotton fiber were used for the expression analysis at different developmental stages Affymetrix Cotton Genome array were used for the global profiling of gene expression of cotton fiber at different developmental stages
