AIMC Topic: Genetic Association Studies
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Genetic Variation in CD36 Is Associated with Decreased Fat and Sugar Intake in Obese Children and Adolescents.
Journal of nutrigenetics and nutrigenomics
Feb 25, 2017
BACKGROUND/AIMS: Taste is recognized as an important predictor of food choices. Thus, polymorphisms in genes encoding taste receptors may explain the variability in food preference and intake. Here, we aimed to determine whether genetic variation in ...
Taste Perception
Dietary Fats
Dietary Sugars
Genetic Predisposition to Disease
Polymorphism, Single Nucleotide
Genotype
Male
Food Preferences
Genetic Association Studies
Brazil
Feeding Behavior
Adolescent
CD36 Antigens
Child
Pediatric Obesity
Humans
Eating
Female
Risk Factors
Cross-Sectional Studies
Who's Who? Detecting and Resolving Sample Anomalies in Human DNA Sequencing Studies with Peddy.
American journal of human genetics
Feb 9, 2017
The potential for genetic discovery in human DNA sequencing studies is greatly diminished if DNA samples from a cohort are mislabeled, swapped, or contaminated or if they include unintended individuals. Unfortunately, the potential for such errors is...
The Human Phenotype Ontology in 2017.
Nucleic acids research
Nov 28, 2016
Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.hum...
Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes.
BMC genomics
Oct 18, 2016
BACKGROUND: Alzheimer's disease (AD) is a complex progressive neurodegenerative disorder commonly characterized by short term memory loss. Presently no effective therapeutic treatments exist that can completely cure this disease. The cause of Alzheim...
Using the Generalized Index of Dissimilarity to Detect Gene-Gene Interactions in Multi-Class Phenotypes.
PloS one
Aug 24, 2016
To find genetic association between complex diseases and phenotypic traits, one important procedure is conducting a joint analysis. Multifactor dimensionality reduction (MDR) is an efficient method of examining the interactions between genes in genet...
Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.
Molecular autism
Mar 15, 2016
BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidities with one another. In order to better understand potential genetic divergence underlying this variable risk, we studied genes responsible for mono...
Body Patterning
Chromatin Assembly and Disassembly
Penetrance
Epilepsy
Syndrome
Cell Nucleus
Gene Expression Regulation
Gene Ontology
Neurogenesis
Intellectual Disability
Autistic Disorder
Risk
Epigenomics
Nuclear Proteins
Databases, Genetic
Nerve Tissue Proteins
Autism Spectrum Disorder
Comorbidity
Protein Interaction Maps
Genetic Association Studies
Humans
Influence of vascular endothelial growth factor and alpha-fetoprotein on hepatocellular carcinoma.
Genetics and molecular research : GMR
Dec 21, 2015
We evaluated the influence of the vascular endothelial growth factor (VEGF) -C936T polymorphism on prognosis of hepatocellular carcinoma (HCC), cirrhosis, and hepatitis C virus (HCV) infection. Serum VEGF and alpha-fetoprotein (AFP) levels were deter...
Prioritizing Clinically Relevant Copy Number Variation from Genetic Interactions and Gene Function Data.
PloS one
Oct 5, 2015
It is becoming increasingly necessary to develop computerized methods for identifying the few disease-causing variants from hundreds discovered in each individual patient. This problem is especially relevant for Copy Number Variants (CNVs), which can...
Prediction of drug gene associations via ontological profile similarity with application to drug repositioning.
Methods (San Diego, Calif.)
Dec 8, 2014
The amount of biomedical literature has been increasing rapidly during the last decade. Text mining techniques can harness this large-scale data, shed light onto complex drug mechanisms, and extract relation information that can support computational...
Learning genotype-phenotype associations from gaps in multi-species sequence alignments.
Briefings in bioinformatics
Nov 22, 2024
Understanding the genetic basis of phenotypic variation is fundamental to biology. Here we introduce GAP, a novel machine learning framework for predicting binary phenotypes from gaps in multi-species sequence alignments. GAP employs a neural network...
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