Published in Front Genet on April 30, 2014
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Integrated pathway and epistasis analysis reveals interactive effect of genetic variants at TERF1 and AFAP1L2 loci on melanoma risk. Int J Cancer (2015) 0.82
Practical aspects of genome-wide association interaction analysis. Hum Genet (2014) 0.79
The foundation of precision medicine: integration of electronic health records with genomics through basic, clinical, and translational research. Front Genet (2015) 0.78
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. BioData Min (2016) 0.77
A comprehensive genome-wide analysis of melanoma Breslow thickness identifies interaction between CDC42 and SCIN genetic variants. Int J Cancer (2016) 0.76
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min (2015) 0.76
Genome-wide genetic interaction analysis of glaucoma using expert knowledge derived from human phenotype networks. Pac Symp Biocomput (2015) 0.76
Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium. PLoS Genet (2016) 0.75
PHENOME-WIDE INTERACTION STUDY (PheWIS) IN AIDS CLINICAL TRIALS GROUP DATA (ACTG). Pac Symp Biocomput (2016) 0.75
Functional regression method for whole genome eQTL epistasis analysis with sequencing data. BMC Genomics (2017) 0.75
Prognostic and Predictive Values and Statistical Interactions in the Era of Targeted Treatment. Genet Epidemiol (2015) 0.75
A cautionary note on the impact of protocol changes for genome-wide association SNP × SNP interaction studies: an example on ankylosing spondylitis. Hum Genet (2015) 0.75
Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts. Hum Genet (2016) 0.75
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min (2017) 0.75
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The Pfam protein families database. Nucleic Acids Res (2011) 33.46
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A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation. Genome Res (2001) 6.06
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Pathway and network-based analysis of genome-wide association studies in multiple sclerosis. Hum Mol Genet (2009) 3.92
Test for interaction between two unlinked loci. Am J Hum Genet (2006) 3.88
Detecting epistatic interactions contributing to quantitative traits. Genet Epidemiol (2004) 3.43
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Travelling the world of gene-gene interactions. Brief Bioinform (2011) 1.69
Sum statistics for the joint detection of multiple disease loci in case-control association studies with SNP markers. Genet Epidemiol (2003) 1.69
Finding unique filter sets in PLATO: a precursor to efficient interaction analysis in GWAS data. Pac Symp Biocomput (2010) 1.64
EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units. Eur J Hum Genet (2010) 1.62
Variance heterogeneity analysis for detection of potentially interacting genetic loci: method and its limitations. BMC Genet (2010) 1.59
FastEpistasis: a high performance computing solution for quantitative trait epistasis. Bioinformatics (2010) 1.58
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Ultrafast genome-wide scan for SNP-SNP interactions in common complex disease. Genome Res (2012) 1.45
Knowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks. PLoS One (2011) 1.42
Evaporative cooling feature selection for genotypic data involving interactions. Bioinformatics (2007) 1.41
Knowledge-driven analysis identifies a gene-gene interaction affecting high-density lipoprotein cholesterol levels in multi-ethnic populations. PLoS Genet (2012) 1.31
Statistical interaction in human genetics: how should we model it if we are looking for biological interaction? Nat Rev Genet (2010) 1.28
Gene-based testing of interactions in association studies of quantitative traits. PLoS Genet (2013) 1.23
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. BioData Min (2013) 1.15
A knowledge-driven interaction analysis reveals potential neurodegenerative mechanism of multiple sclerosis susceptibility. Genes Immun (2011) 1.08
Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using Biofilter, and gene-environment interactions using the PhenX Toolkit. Pac Symp Biocomput (2013) 1.02
A likelihood ratio-based Mann-Whitney approach finds novel replicable joint gene action for type 2 diabetes. Genet Epidemiol (2012) 1.00
Gene, pathway and network frameworks to identify epistatic interactions of single nucleotide polymorphisms derived from GWAS data. BMC Syst Biol (2012) 1.00
Evaluation of removable statistical interaction for binary traits. Stat Med (2012) 0.99
Development of GMDR-GPU for gene-gene interaction analysis and its application to WTCCC GWAS data for type 2 diabetes. PLoS One (2013) 0.95
Trees Assembling Mann-Whitney approach for detecting genome-wide joint association among low-marginal-effect loci. Genet Epidemiol (2012) 0.93
Type 2 diabetes genetic association database manually curated for the study design and odds ratio. BMC Med Inform Decis Mak (2010) 0.92
Use of biological knowledge to inform the analysis of gene-gene interactions involved in modulating virologic failure with efavirenz-containing treatment regimens in ART-naïve ACTG clinical trials participants. Pac Symp Biocomput (2011) 0.91
What is the significance of difference in phenotypic variability across SNP genotypes? Am J Hum Genet (2013) 0.91
Disease-driven detection of differential inherited SNP modules from SNP network. Gene (2011) 0.84