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GWAS techniques

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  • Genome-wide association studies (GWAS) have identified pervasive sharing of genetic architectures across multiple immune-mediated diseases (IMD). By learning the genetic basis of IMD risk from common diseases, this sharing can be exploited to enable analysis of less frequent IMD where, due to limited sample size, traditional GWAS techniques are challenging.

    pdf17p vibransone 28-03-2024 4 2   Download

  • Most cancer risk-associated single nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWAS) are noncoding and it is challenging to assess their functional impacts. To systematically identify the SNPs that affect gene expression by modulating activities of distal regulatory elements, we adapt the self-transcribing active regulatory region sequencing (STARR-seq) strategy, a high-throughput technique to functionally quantify enhancer activities.

    pdf14p vialfrednobel 29-01-2022 6 0   Download

  • The power of genome-wide association studies (GWAS) is often limited by the sample size available for the analysis. Milk fatty acid (FA) traits are scarcely recorded due to expensive and time-consuming analytical techniques.

    pdf16p visilicon2711 20-08-2021 15 1   Download

  • Genome-wide association studies (GWAS) provide a powerful means to identify associations between genetic variants and phenotypes. However, GWAS techniques for detecting epistasis, the interactions between genetic variants associated with phenotypes, are still limited.

    pdf13p vicolorado2711 22-10-2020 7 0   Download

  • Exponential cost reduction in sequencing with advances in Next Generation Sequencing (NGS) technologies has contributed to rapid genotyping technology innovations. Genome Complexity Reduction Methods such as Restriction Associated DNA Sequencing (RAD-seq) and Genotyping-by-Sequencing (GBS) have emerged as a strong genotyping tool capable of identifying, sequencing and genotyping not hundreds but thousands of markers across almost any genome of interest, but also numbers of individuals in a single, simple experiment in a population.

    pdf8p nguaconbaynhay3 07-02-2020 15 0   Download

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