[HTML][HTML] Statistical learning of large-scale genetic data: How to run a genome-wide association study of gene-expression data using the 1000 Genomes Project data
A Sugolov, E Emmenegger, AD Paterson, L Sun - Statistics in Biosciences, 2024 - Springer
Teaching statistics through engaging applications to contemporary large-scale datasets is
essential to attracting students to the field. To this end, we developed a hands-on, week-long …
essential to attracting students to the field. To this end, we developed a hands-on, week-long …
[PDF][PDF] Towards Deep Learning in genome-Wide Association Interaction studies.
S Uppu, A Krishna, RP Gopalan - PACIS, 2016 - core.ac.uk
The complexity of phenotype-genotype mapping are characterised by non-linear
interactions between gene-gene and gene-environmental factors. These interaction studies …
interactions between gene-gene and gene-environmental factors. These interaction studies …
[HTML][HTML] Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies
Background The principal line of investigation in Genome Wide Association Studies (GWAS)
is the identification of main effects, that is individual Single Nucleotide Polymorphisms …
is the identification of main effects, that is individual Single Nucleotide Polymorphisms …
Deep learning of genomic variation and regulatory network data
The human genome is now investigated through high-throughput functional assays, and
through the generation of population genomic data. These advances support the …
through the generation of population genomic data. These advances support the …
An integrated platform to systematically identify causal variants and genes for polygenic human traits
DJ Downes, R Schwessinger, SJ Hill, L Nussbaum… - BioRxiv, 2019 - biorxiv.org
Genome-wide association studies (GWAS) have identified over 150,000 links between
common genetic variants and human traits or complex diseases. Over 80% of these …
common genetic variants and human traits or complex diseases. Over 80% of these …
Machine learning in genome‐wide association studies
Recently, genome‐wide association studies have substantially expanded our knowledge
about genetic variants that influence the susceptibility to complex diseases. Although …
about genetic variants that influence the susceptibility to complex diseases. Although …
The MR-Base platform supports systematic causal inference across the human phenome
Results from genome-wide association studies (GWAS) can be used to infer causal
relationships between phenotypes, using a strategy known as 2-sample Mendelian …
relationships between phenotypes, using a strategy known as 2-sample Mendelian …
[HTML][HTML] Genome-wide association studies
Genome-wide association studies (GWAS) test hundreds of thousands of genetic variants
across many genomes to find those statistically associated with a specific trait or disease …
across many genomes to find those statistically associated with a specific trait or disease …
Methods for large-scale genome-wide association studies
G Kalantzis - 2022 - ora.ox.ac.uk
Genome-wide association studies (GWAS) have led to the identification of thousands of
associations between genetic polymorphisms and complex traits or diseases, facilitating …
associations between genetic polymorphisms and complex traits or diseases, facilitating …
[HTML][HTML] Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits
Genome-wide association studies (GWAS) have identified hundreds of genetic variants
associated with complex traits and diseases. However, elucidating the causal genes …
associated with complex traits and diseases. However, elucidating the causal genes …