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Copy Number Variants at Chromosome 10q11.21, 12p12.1 and 21q22.11 May Be Associated with Hyperlipidemia in Taiwanese Patients

ABSTRACT: Affymetrix SNP array analysis was performed on DNA extracted from whole blood samples of 7 Taiwanese patients with hyperlipidemia. Three copy number variant (CNV) regions associated significantly with hyperlipidemia were identified through genomic segmentation analysis (P<0.001).

ORGANISM(S): Homo sapiens

PROVIDER: GSE38149 | GEO | 2015/05/01

SECONDARY ACCESSION(S): PRJNA167282

REPOSITORIES: GEO

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Copy Number Variants at Chromosome 10q11.21, 12p12.1 and 21q22.11 May Be Associated with Hyperlipidemia in Taiwanese Patients

Project description:Affymetrix SNP array analysis was performed on DNA extracted from whole blood samples of 7 Taiwanese patients with hyperlipidemia. Three copy number variant (CNV) regions associated significantly with hyperlipidemia were identified through genomic segmentation analysis (P<0.001). 7 male Taiwanese hyperlipidemia patients.

2015-05-01 | E-GEOD-38149 | biostudies-arrayexpress

Genetic Copy Number Variants in Myocardial Infarction Patients with Hyperlipidemia

Project description:We identified 7 CNV regions that were associated significantly with hyperlipidemia and myocardial infarction in our patients through multistage analysis (P<0.001). The inclusion criteria for enrolling patients were drawn from the Prospective Cardiovascular Munster study [http://www.ncbi.nlm.nih.gov/pubmed/3202078] and Framingham Heart Study [http://www.ncbi.nlm.nih.gov/pubmed/9737513]. In brief, patients aged between 20 and 75 years with coronary arterial disease with more than 50% stenosis, as proven by cardiac catheterization, and a history of hyperlipidemia with serum cholesterol level greater than 240 mg/dL or low-density lipoprotein greater than 155 mg/dL were enrolled.

2014-08-09 | GSE31276 | GEO

Genetic Copy Number Variants in Myocardial Infarction Patients with Hyperlipidemia

2014-08-09 | E-GEOD-31276 | biostudies-arrayexpress

Genetic copy number variants in myocardial infarction patients with hyperlipidemia.

Project description:BACKGROUND: Cardiovascular disease is the chief cause of death in Taiwan and many countries, of which myocardial infarction (MI) is the most serious condition. Hyperlipidemia appears to be a significant cause of myocardial infarction, because it causes atherosclerosis directly. In recent years, copy number variation (CNV) has been analyzed in genomewide association studies of complex diseases. In this study, CNV was analyzed in blood samples and SNP arrays from 31 myocardial infarction patients with hyperlipidemia. RESULTS: We identified seven CNV regions that were associated significantly with hyperlipidemia and myocardial infarction in our patients through multistage analysis (P<0.001), at 1p21.3, 1q31.2 (CDC73), 1q42.2 (DISC1), 3p21.31 (CDCP1), 10q11.21 (RET) 12p12.3 (PIK3C2G) and 16q23.3 (CDH13), respectively. In particular, the CNV region at 10q11.21 was examined by quantitative real-time PCR, the results of which were consistent with microarray findings. CONCLUSIONS: Our preliminary results constitute an alternative method of evaluating the relationship between CNV regions and cardiovascular disease. These susceptibility CNV regions may be used as biomarkers for early-stage diagnosis of hyperlipidemia and myocardial infarction, rendering them valuable for further research and discussion.

| S-EPMC3333183 | biostudies-literature

Genomic copy number variation correlates with survival outcomes in glioblastoma patients

Project description:Allele-specific copy number analysis of tumors (ASCAT) assesses copy number variations (CNV) while accounting for aberrant cell fraction (ACF) and tumor ploidy. Here, we evaluate if ASCAT-assessed CNV are associated with survival outcomes in patients with WHO grade IV gliomas. Methods: We identified 56 patients with WHO grade IV gliomas. Tumor data analyzed by Affymetrix OncoScan FFPE Assay yielded the log ratio (R) and B-allele frequency (BAF). Input into ASCAT quantified CNV using the segmentation function to measure copy number inflection points throughout the genome. Actuarial overall survival (OS) and progression-free survival (PFS) assessed with Kaplan-Meier method and subgroups compared by the log-rank test. Results were validated on The Cancer Genome Atlas (TCGA) glioblastoma dataset. Results: Our cohort’s median age was 60.4 years (range: 26.1-86.3). Tumors were hyper-methylated at MGMT in 25 (44.6%) with IDH1 mutations in 6 (10.7%). Median follow-up time was 36.4 months, and median PFS and OS were 8 and 14.7 months, respectively. PFS was longer for higher log R and BAF segment counts with hazard ratios (HR) of 0.32 and 0.49 respectively (p<0.001 and p=0.022). Patients with higher log R segment counts had significantly longer 12-month OS (81% vs 46.3%, p=0.0088). In the TCGA validation cohort, higher BAF segment counts had longer 12-month OS with a trend for log R (62.3% vs. 51.9%, p=0.0129 and 63.6% vs. 55.2%, p=0.0696 respectively). Conclusions: Our analysis demonstrated a longer PFS and OS for patients with increased genomic CNV. This may provide a novel method for assessing glioblastoma outcomes.

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A comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants (Mapping250K_Nsp)

Project description:Systematic evaluation of eleven array platforms commonly used for CNV detection to address parameters of quality and CNV calling.

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A comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants (Illumina_650Y)

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