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

Backward genotype-transcript-phenotype association mapping.

Methods (San Diego, Calif.) - 1 Oct 2017

Lee Seunghak, Wang Haohan, Xing Eric P

Abstract excerpt

Genome-wide association studies have discovered a large number of genetic variants associated with complex diseases such as Alzheimer's disease. However, the genetic background of such diseases is largely unknown due to the complex mechanisms underlying genetic effects on traits, as well as a small sample size (e.g., 1000) and a large number of genetic variants (e.g., 1 million). Fortunately, datasets that...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Chromosome Mapping
Share to Genetic Association Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Genome-Wide Association Study

Share to Genotype

Share to Polymorphism, Single Nucleotide

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 28917724
DOI: 10.1016/j.ymeth.2017.09.004
PMCID: PMC6743326

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Backward genotype-transcript-phenotype association mapping.PMID 28917724Read ↗

A network-driven approach for genome-wide association mapping.Semantic proximity Read ↗

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 93 risk genes for Alzheimer’s disease dementiaSemantic proximity Read ↗

Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data.Semantic proximity Read ↗

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer's disease dementia.Semantic proximity Read ↗

L-GATOR: Genetic Association Testing for a Longitudinally Measured Quantitative Trait in Samples with Related Individuals.Semantic proximity Read ↗

GEPdb: a database for investigating the ternary association of genotype, gene expression and phenotype.Semantic proximity Read ↗

Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMap.Semantic proximity Read ↗

BaseQTL: a Bayesian method to detect eQTLs from RNA-seq data with or without genotypesSemantic proximity Read ↗

Backward Haplotype Transmission Association (BHTA) algorithm - a fast multiple-marker screening method.Semantic proximity Read ↗

A novel method for analyzing genetic association with longitudinal phenotypes.Semantic proximity Read ↗

Human genotype-to-phenotype predictions: boosting accuracy with nonlinear modelsSemantic proximity Read ↗

Bayesian method to predict individual SNP genotypes from gene expression data.Semantic proximity Read ↗

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