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

Predicting the combined effect of multiple genetic variants.

Human genomics - 30 Jul 2015

Liu Mingming, Watson Layne T, Zhang Liqing

Abstract excerpt

BACKGROUND: Many genetic variants have been identified in the human genome. The functional effects of a single variant have been intensively studied. However, the joint effects of multiple variants in the same genes have been largely ignored due to their complexity or lack of data. This paper uses HMMvar, a hidden Markov model based approach, to investigate the combined effect of multiple variants from the 1000...

Read the complete abstract on PubMed

Topics

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

Share to Cardiovascular Diseases
Share to Genetic Variation
Share to Genome, Human

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Human Genome Project

Share to INDEL Mutation

Share to Markov Chains

Share to PTEN Phosphohydrolase

Share to Tumor Suppressor Protein p53

Source

Open in PubMed Open full text

Identifiers

PMID: 26223264
DOI: 10.1186/s40246-015-0040-4
PMCID: PMC4520001

Genes

PTEN

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 · 11 closest

Predicting the combined effect of multiple genetic variants.PMID 26223264Read ↗

Quantitative prediction of the effect of genetic variation using hidden Markov models.Semantic proximity Read ↗

Association Analysis and Meta-Analysis of Multi-allelic Variants for Large Scale Sequence DataSemantic proximity Read ↗

HMMvar-func: a new method for predicting the functional outcome of genetic variants.Semantic proximity Read ↗

An Integrative Variant Scoring Function for Finding Novel Genes Associated with Ovarian and Thyroid CancerSemantic proximity Read ↗

An Integrative Variant Scoring Function for Finding Novel Genes Associated with Ovarian and Thyroid Cancer.Semantic proximity Read ↗

Functional and structural analysis of non-synonymous single nucleotide polymorphisms (nsSNPs) in the MYB oncoproteins associated with human cancer.Semantic proximity Read ↗

Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models.Semantic proximity Read ↗

New approaches to predict the effect of co-occurring variants on protein characteristics.Semantic proximity Read ↗

IMHOTEP-a composite score integrating popular tools for predicting the functional consequences of non-synonymous sequence variants.Semantic proximity Read ↗

A comprehensive framework for the interpretation of TTN missense variantsSemantic proximity Read ↗

MARV: a tool for genome-wide multi-phenotype analysis of rare variants.Semantic proximity Read ↗

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