Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

GLIDE: GPU-based linear regression for detection of epistasis.

Human heredity - 1 Jan 2012

Kam-Thong Tony, Azencott Chloé-Agathe, Cayton Lawrence, Pütz Benno, Altmann André, Karbalai Nazanin, Sämann Philipp G, Schölkopf Bernhard, Müller-Myhsok Bertram, Borgwardt Karsten M

Abstract excerpt

Due to recent advances in genotyping technologies, mapping phenotypes to single loci in the genome has become a standard technique in statistical genetics. However, one-locus mapping fails to explain much of the phenotypic variance in complex traits. Here, we present GLIDE, which maps phenotypes to pairs of genetic loci and systematically searches for the epistatic interactions expected to reveal part of this...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Organ Size
Share to Linear Models

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Bipolar Disorder

Share to Databases, Factual

Share to Epistasis, Genetic

Share to Genetic Loci

Share to Hippocampus

Share to Reproducibility of Results

Source

Identifiers

PMID: 22965145
DOI: 10.1159/000341885

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

GLIDE: GPU-based linear regression for detection of epistasis.PMID 22965145Read ↗

Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.Semantic proximity Read ↗

Regional heritability advanced complex trait analysis for GPU and traditional parallel architectures.Semantic proximity Read ↗

EpiGPU: exhaustive pairwise epistasis scans parallelized on consumer level graphics cards.Semantic proximity Read ↗

GenEpi: Gene-based Epistasis Discovery Using Machine LearningSemantic proximity Read ↗

Advanced complex trait analysis.Semantic proximity Read ↗

Modelling human complex traits with regression and neural-network based methodsSemantic proximity Read ↗

Development of GMDR-GPU for gene-gene interaction analysis and its application to WTCCC GWAS data for type 2 diabetes.Semantic proximity Read ↗

Latent epistatic interaction model identifies loci associated with human working memorySemantic proximity Read ↗

FastEpistasis: a high performance computing solution for quantitative trait epistasis.Semantic proximity Read ↗

Detecting local genetic correlations with scan statistics.Semantic proximity Read ↗

Review on GPU accelerated methods for genome-wide SNP-SNP interactions.Semantic proximity Read ↗

Identifying potential genetic epistasis implicated in Alzheimer's disease via detection of SNP-SNP interaction on quantitative trait CSF Aβ42.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.