AIMC Topic: Polymorphism, Single Nucleotide
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Modulation of aldosterone levels by aldosterone synthase promoter polymorphism and association with eGFR decline in patients with chronic kidney disease.
Discovery medicine
Dec 1, 2018
To determine whether -344T/C CYP11B2 promoter polymorphism affects serum aldosterone levels and whether this polymorphism is an indicator of eGFR decline in patients with chronic kidney disease. -344 C/T CYP11B2 gene polymorphism analysis was perform...
GARFIELD-NGS: Genomic vARiants FIltering by dEep Learning moDels in NGS.
Bioinformatics (Oxford, England)
Sep 1, 2018
SUMMARY: Exome sequencing approach is extensively used in research and diagnostic laboratories to discover pathological variants and study genetic architecture of human diseases. However, a significant proportion of identified genetic variants are ac...
Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia.
Schizophrenia bulletin
Aug 20, 2018
Genetic risk variants for schizophrenia have been linked to many related clinical and biological phenotypes with the hopes of delineating how individual variation across thousands of variants corresponds to the clinical and etiologic heterogeneity wi...
Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions.
Bioinformatics (Oxford, England)
Jul 1, 2018
MOTIVATION: Single-nucleotide polymorphism (SNP)-SNP interactions (SSIs) are popular markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) can successfully detect considerable SSIs. Currently, MDR-based methods ...
Deep learning for biology.
Nature
Feb 22, 2018
Partitioned learning of deep Boltzmann machines for SNP data.
Bioinformatics (Oxford, England)
Oct 15, 2017
MOTIVATION: Learning the joint distributions of measurements, and in particular identification of an appropriate low-dimensional manifold, has been found to be a powerful ingredient of deep leaning approaches. Yet, such approaches have hardly been ap...
CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.
Bioinformatics (Oxford, England)
Aug 1, 2017
MOTIVATION: Detecting epistatic interactions in genome-wide association studies (GWAS) is a computational challenge. Such huge numbers of single-nucleotide polymorphism (SNP) combinations limit the some of the powerful algorithms to be applied to det...
Association of ATP-Binding Cassette Transporter (ABC) Gene Polymorphisms with Viral Load in Patients with Genotype 1 Hepatitis C Virus Infection.
Clinical laboratory
Sep 1, 2016
BACKGROUND: ATP-binding cassette transporters (ABC) gene polymorphisms are associated with various biological functions, including hepatitis C virus (HCV) infection. This study aims to explore the impact of ABC transporters polymorphisms on HCV viral...
ATP Binding Cassette Transporter, Subfamily G, Member 5
Humans
Female
Male
Middle Aged
ATP Binding Cassette Transporter 1
Interleukins
ATP Binding Cassette Transporter, Subfamily B
Hepatitis C, Chronic
Viral Load
Neoplasm Proteins
ATP Binding Cassette Transporter, Subfamily B, Member 11
Gene Frequency
Polymorphism, Single Nucleotide
ATP Binding Cassette Transporter, Subfamily G, Member 2
ATP Binding Cassette Transporter, Subfamily B, Member 1
ATP-Binding Cassette Transporters
Genotype
Hepacivirus
Lipoproteins
A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions.
Bioinformatics (Oxford, England)
Sep 1, 2016
MOTIVATION: Gene-gene interaction (GGI) is one of the most popular approaches for finding and explaining the missing heritability of common complex traits in genome-wide association studies. The multifactor dimensionality reduction (MDR) method has b...
Generalized Multifactor Dimensionality Reduction (GMDR) Analysis of Drug-Metabolizing Enzyme-Encoding Gene Polymorphisms may Predict Treatment Outcomes in Indian Breast Cancer Patients.
World journal of surgery
Jul 1, 2016
BACKGROUND: Prediction of response and toxicity of chemotherapy can help personalize the treatment and choose effective yet non-toxic treatment regimen for a breast cancer patient. Interplay of variations in various drug-metabolizing enzyme (DME)-enc...
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