Data Simulation to Optimize the GWAS Framework in Diverse Populations

JW Mugo, ER Chimusa, NJ Mulder - medRxiv, 2023 - medrxiv.org
Whole-genome or genome-wide association studies have become a fundamental part of
modern genetic studies and methods for dissecting the genetic architecture of common traits …

Systems-level analysis of genome-wide association data

CR Farber - G3: Genes| Genomes| Genetics, 2013 - academic.oup.com
Genome-wide association studies (GWAS) have emerged as the method of choice for
identifying common variants affecting complex disease. In a GWAS, particular attention is …

ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci

SD Turner, SM Dudek, MD Ritchie - BioData mining, 2010 - Springer
Background Growing interest and burgeoning technology for discovering genetic
mechanisms that influence disease processes have ushered in a flood of genetic …

Bioinformatics challenges in genome-wide association studies (GWAS)

R De, WS Bush, JH Moore - Clinical Bioinformatics, 2014 - Springer
Genome-wide association studies (GWAS) are a powerful tool for investigators to examine
the human genome to detect genetic risk factors, reveal the genetic architecture of diseases …

A walk into random forests: adaptation and application to Genome-Wide Association Studies

V Botta - 2013 - orbi.uliege.be
Understanding underlying mechanisms of common diseases is one of the major goals of
current research in medicine. As most of these disorders are linked to genetic factors …

DeepBreaks: A machine learning tool for identifying and prioritizing genotype-phenotype associations

M Baghbanzadeh, T Dawson, B Sayoldin, T Oakley… - 2023 - researchsquare.com
Sequence data (eg, nucleotides or amino-acids) are critical for advancing our understanding
of biology. However, there are many challenges with investigating and analyzing …

Selection of important variables by statistical learning in genome-wide association analysis

W Yang, CC Gu - BMC proceedings, 2009 - Springer
Genetic analysis of complex diseases demands novel analytical methods to interpret data
collected on thousands of variables by genome-wide association studies. The complexity of …

sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics

NM Belonogova, GR Svishcheva… - PLoS Computational …, 2022 - journals.plos.org
Gene-based association analysis is an effective gene-mapping tool. Many gene-based
methods have been proposed recently. However, their power depends on the underlying …

GWANN: Implementing deep learning in genome wide association studies

N Ashkenazy, M Feder, OM Shir, S Hübner - bioRxiv, 2022 - biorxiv.org
Motivation Genome wide association studies (GWAS) are extensively used across species
to identify genes that underlie important traits. Most GWAS methods apply modifications and …

e-GRASP: an integrated evolutionary and GRASP resource for exploring disease associations

S Karim, HF NourEldin, H Abusamra, N Salem… - BMC genomics, 2016 - Springer
Background Genome-wide association studies (GWAS) have become a mainstay of
biological research concerned with discovering genetic variation linked to phenotypic traits …