A survey about methods dedicated to epistasis detection
During the past decade, findings of genome-wide association studies (GWAS) improved our
knowledge and understanding of disease genetics. To date, thousands of SNPs have been …
knowledge and understanding of disease genetics. To date, thousands of SNPs have been …
A review of multivariate analyses in imaging genetics
J Liu, VD Calhoun - Frontiers in neuroinformatics, 2014 - frontiersin.org
Recent advances in neuroimaging technology and molecular genetics provide the unique
opportunity to investigate genetic influence on the variation of brain attributes. Since the year …
opportunity to investigate genetic influence on the variation of brain attributes. Since the year …
Brain imaging genomics: integrated analysis and machine learning
L Shen, PM Thompson - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Brain imaging genomics is an emerging data science field, where integrated analysis of
brain imaging and genomics data, often combined with other biomarker, clinical, and …
brain imaging and genomics data, often combined with other biomarker, clinical, and …
A roadmap to multifactor dimensionality reduction methods
D Gola, JM Mahachie John, K Van Steen… - Briefings in …, 2016 - academic.oup.com
Complex diseases are defined to be determined by multiple genetic and environmental
factors alone as well as in interactions. To analyze interactions in genetic data, many …
factors alone as well as in interactions. To analyze interactions in genetic data, many …
[HTML][HTML] Transdisciplinary approaches enhance the production of translational knowledge
The primary goal of translational research is to generate and apply knowledge that can
improve human health. Although research conducted within the confines of a single …
improve human health. Although research conducted within the confines of a single …
Epistasis analysis using multifactor dimensionality reduction
JH Moore, PC Andrews - Epistasis: Methods and Protocols, 2015 - Springer
Here we introduce the multifactor dimensionality reduction (MDR) methodology and
software package for detecting and characterizing epistasis in genetic association studies …
software package for detecting and characterizing epistasis in genetic association studies …
Effect of interaction between obesity-promoting genetic variants and behavioral factors on the risk of obese phenotypes
The studies investigating gene–gene and gene–environment (or gene–behavior)
interactions provide valuable insight into the pathomechanisms underlying obese …
interactions provide valuable insight into the pathomechanisms underlying obese …
Multiobjective multifactor dimensionality reduction to detect SNP–SNP interactions
CH Yang, LY Chuang, YD Lin - Bioinformatics, 2018 - academic.oup.com
Motivation Single-nucleotide polymorphism (SNP)–SNP interactions (SSIs) are popular
markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) …
markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) …
An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions
S Leem, T Park - BMC genomics, 2017 - Springer
Background Detection of gene-gene interaction (GGI) is a key challenge towards solving the
problem of missing heritability in genetics. The multifactor dimensionality reduction (MDR) …
problem of missing heritability in genetics. The multifactor dimensionality reduction (MDR) …
Association of COMT and COMT-DRD2 interaction with creative potential
S Zhang, M Zhang, J Zhang - Frontiers in Human Neuroscience, 2014 - frontiersin.org
Several lines of evidence suggest that genes involved in dopamine (DA) transmission may
contribute to creativity. Among these genes, the catechol-O-methyltransferase gene (COMT) …
contribute to creativity. Among these genes, the catechol-O-methyltransferase gene (COMT) …