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

A Nonlinear Model for Gene-Based Gene-Environment Interaction.

International journal of molecular sciences - 4 Jun 2016

Sa Jian, Liu Xu, He Tao, Liu Guifen, Cui Yuehua

Abstract excerpt

A vast amount of literature has confirmed the role of gene-environment (G×E) interaction in the etiology of complex human diseases. Traditional methods are predominantly focused on the analysis of interaction between a single nucleotide polymorphism (SNP) and an environmental variable. Given that genes are the functional units, it is crucial to understand how gene effects (rather than single SNP effects) are...

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 Databases, Genetic

Share to Gene-Environment Interaction

Share to Genome-Wide Association Study

Share to Models, Biological

Share to Nonlinear Dynamics

Source

Open in PubMed Open full text

Identifiers

PMID: 27271617
DOI: 10.3390/ijms17060882
PMCID: PMC4926416

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

A Nonlinear Model for Gene-Based Gene-Environment Interaction.PMID 27271617Read ↗

A novel method for identifying nonlinear gene-environment interactions in case-control association studies.Semantic proximity Read ↗

A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.Semantic proximity Read ↗

Varying coefficient model for gene-environment interaction: a non-linear look.Semantic proximity Read ↗

Integrative analysis of gene-environment interactions under a multi-response partially linear varying coefficient model.Semantic proximity Read ↗

Additive varying-coefficient model for nonlinear gene-environment interactions.Semantic proximity Read ↗

Testing gene-environment interactions for rare and/or common variants in sequencing association studiesSemantic proximity Read ↗

HisCoM-G×E: Hierarchical Structural Component Analysis of Gene-Based Gene-Environment Interactions.Semantic proximity Read ↗

Testing gene-environment interactions for rare and/or common variants in sequencing association studies.Semantic proximity Read ↗

Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis.Semantic proximity Read ↗

Variance-component-based meta-analysis of gene-environment interactions for rare variants.Semantic proximity Read ↗

A unified method for rare variant analysis of gene-environment interactions.Semantic proximity Read ↗

Gene-Environment Interaction: A Variable Selection Perspective.Semantic proximity Read ↗

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