Project description:Body weight (BW) is a critical economic trait for meat production in sheep. The current study aimed to perform a genome-wide association study (GWAS) to detect significant single-nucleotide polymorphisms (SNPs) that are associated with BW in Hu sheep.
Project description:We investigated whether intersecting functional genomic data (ATAC-seq + promoter focused Capture C) with increasingly powered publically available GWAS for Body Mass Index and Waist to Hip Ratio could identify additional true postiive subsignficant signals (5x10-8< P value < 5x10-4) without increasing the GWAS sample size
Project description:We investigated whether intersecting functional genomic data (ATAC-seq + promoter focused Capture C) with increasingly powered publically available GWAS for Body Mass Index and Waist to Hip Ratio could identify additional true postiive subsignficant signals (5x10-8< P value < 5x10-4) without increasing the GWAS sample size
Project description:Genetic variations were successfully associated among patients with coronary artery disease using Illumina Cardiometabochip containing 1,96,725 SNPs Illumina Cardio-metabochip is a custom designed SNP microarray containing 1,96,725 SNPs designed by several GWAS and consortia
Project description:It has long been hypothesized that knowledge of allele-specific modification (ASM; "modification" is used to denote various types of epigenetic cytosine marks, not only methylation) can supplement and inform GWAS of complex diseases and traits. To explore the relationship between GWAS subthreshold SNPs and ASM, we identified brain ASM-SNPs from Caucasian control individuals (n=76) and Caucasian patients affected by schizophrenia (n=65) or bipolar (n=67) using the Affymetrix SNP 6.0 microarray, one of the most common GWAS platforms which has also been thoroughlyt validated for ASM mapping.
2015-07-29 | GSE71443 | GEO
Project description:Identification of Candidate Growth-Related SNPs and Genes Using GWAS and Transcriptome Analyses in Leopard coral grouper
Project description:We adapted the DiR barcode-based parallel reporter assay systems strategy to systematically identify the breast cancer related SNPs that affect gene expression by modulating activities of regulatory elements. Among 293 SNPs linked with GWAS-identified breast cancer-risk SNPs, we found seven functional regulatory SNPs in MCF7 cells. Further mechanism study indicates that one SNP regulates gene expression in breast cancer malignancy. The DiR system has great potential to advance the functional study of risk SNPs that have associations with polygenic diseases. Our findings hold great promise in benefiting breast cancer patients with prognostic prediction.
Project description:nasosinus polyposis (=PNS) is a chronic inflammatory disease of the nasal cavity and sinus cavity with a prevalence of 2 to 4% in the general population. The functional impact of PNS has a major impact on one’s quality of life.Medical treatment, nasal irrigations and local glucocorticoids as well as short treatment of oral glucocorticoids have shown a short-term benefit versus placebo. Surgery improves the efficacy of local treatments, but 40% of patients have a recurrence of polyps at 18 months and 20% of patients require a surgery recovery at 5 years. The development of monoclonal antibodies directly targeting the inflammatory way is a real public health issue. Bachert C. et al recently demonstrated the efficacy of Dupilumab (anti-IL-4/13 antibody) injected subcutaneously on the overall symptomatology of PNS. The marketing authorization (AMM) for the first biotherapy to be available soon includes PNS’s severe nature and resistance to treatment, although there is no consensus definition or score to characterize this severity. This study aims at developping a score for assessing severity in PNS. We suggest that this assessment strategy could be applied to the PNS. The originality and the innovative character of this project is the statistical modeling behind the creation of the score. Thus, the importance of symptoms, anatomical and biological factors, the estimation of the quality of life of the patients, the level of care use and the number of surgeries all become measurable indicators that are a direct reflexion of the severity and the control of PNS, called latent variables because they cannot be directly measured. To consider this detail, modeling using structural equations seems optimal to develop a severity score (PSI score) of PNS in order to personalize the therapeutic care of patients. Main Objective: To develop a severity score for PNS using latent variable modeling: Polyps Severity Index (PSI)
