AIMC Topic: Genetic Markers

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A tuberculosis ontology for host systems biology.

Tuberculosis (Edinburgh, Scotland) Jun 30, 2015
A major hurdle facing tuberculosis (TB) investigators who want to utilize a rapidly growing body of data from both systems biology approaches and omics technologies is the lack of a standard vocabulary for data annotation and reporting. Lacking a mea...
Systems Biology Databases, Genetic Genetic Markers Tuberculosis Mycobacterium tuberculosis Gene Expression Regulation Host-Pathogen Interactions Terminology as Topic Gene Ontology Humans Animals Gene Expression Profiling Transcriptome
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De novo transcriptome assembly of pummelo and molecular marker development.

PloS one Mar 23, 2015
Pummelo (Citrus grandis) is an important fruit crop worldwide because of its nutritional value. To accelerate the pummelo breeding program, it is essential to obtain extensive genetic information and develop relative molecular markers. Here, we obtai...
Gene Frequency Nucleotide Motifs Transcriptome Phenotype Citrus Reproducibility of Results Gene Library Polymorphism, Single Nucleotide Molecular Sequence Annotation Microsatellite Repeats Phylogeny Cluster Analysis Gene Ontology Physical Chromosome Mapping Gene Expression Profiling Genetic Markers High-Throughput Nucleotide Sequencing
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RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease.

Science (New York, N.Y.) Dec 18, 2014
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affect RNA splicing, whose alteration contributes to many diseases. Analysis of more than 650,000 intron...
RNA-Binding Proteins Models, Genetic Nuclear Proteins Adaptor Proteins, Signal Transducing RNA Splice Sites Humans Muscular Atrophy, Spinal DNA Artificial Intelligence Genetic Markers Mutation, Missense Exons Computer Simulation Genetic Variation Quantitative Trait Loci Genetic Code Genome-Wide Association Study Molecular Sequence Annotation MutL Protein Homolog 1 RNA Splicing Polymorphism, Single Nucleotide Introns Child Development Disorders, Pervasive Colorectal Neoplasms, Hereditary Nonpolyposis
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A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.

American journal of human genetics Jun 5, 2025
Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasured confounding factors. However, traditional MR's reliance on strong parametric assumptions can introduce bias if these are violated. We describe a ma...
Genetic Markers Polymorphism, Single Nucleotide Adaptor Proteins, Signal Transducing Mendelian Randomization Analysis Cholesterol, LDL Humans Machine Learning Bone Density Osteoporosis Female Male Cardiovascular Diseases
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Improvement in genomic prediction of maize with prior gene ontology information depends on traits and environmental conditions.

The plant genome Mar 1, 2025
Classical genomic prediction approaches rely on statistical associations between traits and markers rather than their biological significance. Biologically informed selection of genomic regions can help prioritize polymorphisms by considering underly...
Environment Genome, Plant Genomics Models, Genetic Zea mays Genetic Markers Gene Ontology Phenotype
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Identification and validation of tissue-based gene biomarkers for acute intestinal graft-versus-host disease(AIGVHD).

Frontiers in immunology Jan 1, 2025
BACKGROUND: Acute intestinal graft-versus-host disease (AIGVHD) is a common complication of allogeneic hematopoietic stem cell transplantation (allo HSCT) with a high mortality rate. The primary aim of the present study is to identify tissue-based ge...
Humans Machine Learning Biomarkers Animals Genetic Markers Graft vs Host Disease Hematopoietic Stem Cell Transplantation Intestinal Diseases Gene Expression Profiling Receptors, IgG Mice Membrane Proteins Disease Models, Animal Acute Disease
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Classification accuracy of machine learning algorithms for Chinese local cattle breeds using genomic markers.

Yi chuan = Hereditas Jul 1, 2024
Accurate breed classification is required for the conservation and utilization of farm animal genetic resources. Traditional classification methods mainly rely on phenotypic characterization. However, it is difficult to distinguish between the highly...
China Cattle Genomics Polymorphism, Single Nucleotide Support Vector Machine Machine Learning Algorithms Animals Genetic Markers Breeding Genome
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Exploration of Imaging Genetic Biomarkers of Alzheimer's Disease Based on a Machine Learning Method.

Journal of integrative neuroscience Apr 17, 2024
BACKGROUND: Alzheimer's disease (AD) is an irreversible primary brain disease with insidious onset. The rise of imaging genetics research has led numerous researchers to examine the complex association between genes and brain phenotypes from the pers...
Brain Aged Magnetic Resonance Imaging Genetic Markers Alzheimer Disease Humans Neural Networks, Computer Machine Learning Algorithms Neuroimaging
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Clinical Performance of a Gene-Based Machine Learning Classifier in Assessing Risk of Developing OUD in Subjects Taking Oral Opioids: A Prospective Observational Study.

Annals of clinical and laboratory science Jul 1, 2021
OBJECTIVE: To reduce the incidence of Opioid Use Disorder (OUD), multiple guidelines recommend assessing the risk of OUD prior to prescribing oral opioids. Although subjective risk assessments are available to help classify subjects at risk for OUD, ...
Middle Aged Risk Assessment Adolescent Genotype United States Follow-Up Studies Analgesics, Opioid Genetic Markers Aged Opioid-Related Disorders Humans Aged, 80 and over Young Adult Adult Machine Learning Male Prospective Studies Prognosis Female
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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

European heart journal Nov 14, 2019
BACKGROUND: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). Howeve...
Gene Expression Profiling Female Coronary Artery Disease Humans Transcriptome Genetic Markers Machine Learning Case-Control Studies Aged Plaque, Atherosclerotic Algorithms Follow-Up Studies Male Computed Tomography Angiography Phenotype Adipose Tissue Middle Aged Risk Assessment
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