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

Fast eQTL Analysis for Twin Studies.

Genetic epidemiology - 1 Jul 2015

Yin Zhaoyu, Xia Kai, Chung Wonil, Sullivan Patrick F, Zou Fei

Abstract excerpt

Twin data are commonly used for studying complex psychiatric disorders, and mixed effects models are one of the most popular tools for modeling dependence structures between twin pairs. However, for eQTL (expression quantitative trait loci) data where associations between thousands of transcripts and millions of single nucleotide polymorphisms need to be tested, mixed effects models are computationally...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computational Biology
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Data Interpretation, Statistical

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 25865703
DOI: 10.1002/gepi.21900
PMCID: PMC4469571

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Fast eQTL Analysis for Twin Studies.PMID 25865703Read ↗

TwinEQTL: ultrafast and powerful association analysis for eQTL and GWAS in twin studies.Semantic proximity Read ↗

Sparse regression models for unraveling group and individual associations in eQTL mapping.Semantic proximity Read ↗

Matrix eQTL: ultra fast eQTL analysis via large matrix operations.Semantic proximity Read ↗

Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Association Studies.Semantic proximity Read ↗

Hierarchical probabilistic models for multiple gene/variant associations based on next-generation sequencing data.Semantic proximity Read ↗

Using eQTL weights to improve power for genome-wide association studies: a genetic study of childhood asthmaSemantic proximity Read ↗

Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping.Semantic proximity Read ↗

Methodological implementation of mixed linear models in multi-locus genome-wide association studies.Semantic proximity Read ↗

The use of genome-wide eQTL associations in lymphoblastoid cell lines to identify novel genetic pathways involved in complex traits.Semantic proximity Read ↗

Statistical inference in mixed models and analysis of twin and family data.Semantic proximity Read ↗

A generalized Defries-Fulker regression framework for the analysis of twin data.Semantic proximity Read ↗

ulfasQTL: an ultra-fast method of composite splicing QTL analysis.Semantic proximity Read ↗

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