Anagram & Information om | Engelska ordet GWAS

Exempel på hur man kan använda GWAS i en mening

• Heritability is estimated by comparing individual phenotypic variation among related individuals in a population, by examining the association between individual phenotype and genotype data, or even by modeling summary-level data from genome-wide association studies (GWAS).
• An example of its application is in SNPs arrays for polymorphisms in cardiovascular diseases, cancer, pathogens and GWAS analysis.
• In single variant tests, it has been shown that SNPs were enriched for variants associated with adiposity, type 2 diabetes, coronary heart disease and kidney function in previously published GWAS, providing evidence that genetic loci related to blood pressure contribute to cardiovascular outcomes.
• DNA microarray has been used to advance understanding of hybrid vigor in rice, QTL sequencing has been used to elucidate seedling vigor, and genome wide association study (GWAS) by whole genome sequencing (WGS) has been used to investigate various agronomic traits.
• This is in contrast to genome-wide association studies (GWAS), which is a hypothesis-free approach that scans the entire genome for associations between common genetic variants (typically SNPs) and traits of interest.
•   Over the next fifteen years they used standard GWAS and reduced fecundity as an intermediate phenotype to home in on SNPs and copy number variations (CNVs) linked to risk of schizophrenia and other disorders;  they demonstrated that genetic risk factors for schizophrenia and autism confer cognitive abnormalities even in control subjects;  they linked schizophrenia, bipolar disorder with both creativity and risk of addiction;  they identified genetic variants associated with educational attainment and childhood cognition; and demonstrated that these variants are currently under negative evolutionary selection.
• Genome-wide association studies (GWAS) have been used to investigate the genetic foundation of astigmatism.
• In a genome-wide association study (GWAS), a single-nucleotide polymorphism in ACADS has been associated with a reduced amount of insulin release shown by an oral glucose tolerance test, or OGTT.
• Recent genome-wide analysis (GWAS) of HIF binding in kidney cancer showed that HIF1A binds upstream of majorly good prognosis genes, while HIF2A binds upstream to majorly poor prognosis genes.
• To increase sample size for a better powered detection of common variants with small effects, data from genome-wide association studies (GWAS) is continuing to be clustered in large international consortia.
• In genomics, a genome-wide association study (GWA study, or GWAS), is an observational study of a genome-wide set of genetic variants in different individuals to see if any variant is associated with a trait.
• Through genome-wide association studies (GWAS), UBE2L3 has been associated with several autoimmune diseases, including RA, celiac disease, CD, and SLE via the ubiquitination of the NK-κB precursor.
• SNPs near the PRDM1 gene have been identified in genome-wide association studies (GWAS) to be linked to lupus (SLE) and rheumatoid arthritis (RA).
• A GWAS study has found that bone mass density (BMD) is associated with the Sp7 locus, adults and children with either low or high BMD were analyzed showing that several common variant SNPs within the 12q13 region were in an area of linkage disequilibrium.
• Alongside the P values of association, WGAViewer allows a researcher to visualize and consider other supporting evidence, such as the genomic context of the SNP, linkage disequilibrium (LD) with ungenotyped SNPs, gene expression database, and the evidence from other GWAS projects, when determining the potential importance of an individual SNP.
• The integration of eQTLs with GWAS has led to development of the transcriptome-wide association study (TWAS) methodology.
• The SNPs targeted by MIP can then be used in areas of research such as quantitative trait loci (QTL) analysis or genome-wide association studies (GWAS) where the SNPs are used in either indirect linkage disequilibrium studies or directly screened for causative mutations.
• Since 2013, in collaboration with Ole Andreassen at the University of Oslo, and using GWAS summary statistics (p-values and odds ratios), Dale has developed and validated methods for evaluating genetic overlap (pleiotropy) across diseases and phenotypes.
• In a genome wide association screen (GWAS), CASS4 showed a significant correlation with clinical pathological features of AD such as neurofibrillary tangles and neuritic plaques.
• If a GWAS of n=10k using SNP data fails to turn up any hits, but the GCTA indicates a high heritability accounted for by SNPs, then that implies that a large number of variants are involved (polygenicity) and thus that much larger GWASes will be required to accurately estimate each SNP's effect and directly account for a fraction of the GCTA heritability.

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