AIMC Topic: Pedigree

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Predicting genetic merit in Harnali sheep using machine learning techniques.

Tropical animal health and production Jun 3, 2025
Machine learning techniques offer promising avenues for enhancing animal breeding programs by leveraging genomic and phenotypic data to predict valuable traits accurately. In this study, we evaluated seven machine learning algorithms viz., K-nearest ...
Machine Learning Algorithms Phenotype Bayes Theorem Breeding Pedigree Sheep, Domestic Female Animals Male
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Ethical and security challenges in AI for forensic genetics: From bias to adversarial attacks.

Forensic science international. Genetics Jan 27, 2025
Forensic scientists play a crucial role in assigning probabilities to evidence based on competing hypotheses, which is fundamental in legal contexts where propositions are presented usually by prosecution and defense. The likelihood ratio (LR) is a w...
Forensic Genetics Bias Pedigree Likelihood Functions Artificial Intelligence Machine Learning Humans
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Machine learning for genomic and pedigree prediction in sugarcane.

The plant genome Jun 26, 2024
Sugarcane (Saccharum spp.) plays a crucial role in global sugar production; however, the efficiency of breeding programs has been hindered by its heterozygous polyploid genomes. Considering non-additive genetic effects is essential in genome predicti...
Saccharum Pedigree Genome, Plant Plant Breeding Genomics Polymorphism, Single Nucleotide Genotype Machine Learning
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Development of a multi-use decision support system for scientific management and breeding of sheep.

Scientific reports Nov 12, 2022
As the challenges of food insecurity and population explosion become more pressing, there is a dire need to revamp the existing breeding and animal management systems. This can be achieved by the introduction of technology for efficiency and the impr...
Artificial Intelligence Animals India Sheep Pedigree Inbreeding
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The application of machine learning to predict genetic relatedness using human mtDNA hypervariable region I sequences.

PloS one Feb 18, 2022
Human identification of unknown samples following disaster and mass casualty events is essential, especially to bring closure to family and friends of the deceased. Unfortunately, victim identification is often challenging for forensic investigators ...
Machine Learning DNA, Mitochondrial Polymorphism, Genetic Humans Racial Groups Pedigree Forensic Genetics
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Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac disease.

Heart rhythm Dec 24, 2021
BACKGROUND: Variation in lamin A/C results in a spectrum of clinical disease, including arrhythmias and cardiomyopathy. Benign variation is rare, and classification of LMNA missense variants via in silico prediction tools results in a high rate of va...
Cardiac Conduction System Disease Lamin Type A Heart Diseases Pedigree Humans Machine Learning
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Predicting affinity ties in a surname network.

PloS one Sep 2, 2021
From administrative registers of last names in Santiago, Chile, we create a surname affinity network that encodes socioeconomic data. This network is a multi-relational graph with nodes representing surnames and edges representing the prevalence of i...
Female Male Chile Pedigree Consanguinity Data Mining Social Class Humans Machine Learning Names
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Machine-learning predicts genomic determinants of meiosis-driven structural variation in a eukaryotic pathogen.

Nature communications Jun 10, 2021
Species harbor extensive structural variation underpinning recent adaptive evolution. However, the causality between genomic features and the induction of new rearrangements is poorly established. Here, we analyze a global set of telomere-to-telomere...
Crossing Over, Genetic Genes, Duplicate Sequence Inversion Chromosomes Models, Genetic Phylogeny Arabidopsis Evolution, Molecular Genome-Wide Association Study Retroelements Genetic Variation Genomics Eukaryota Polymorphism, Single Nucleotide Pedigree Genome Meiosis Machine Learning Polymorphism, Genetic INDEL Mutation Computer Simulation Ascomycota
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genoDraw: A Web Tool for Developing Pedigree Diagrams Using the Standardized Human Pedigree Nomenclature Integrated with Biomedical Vocabularies.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
The integration of genetic information in current clinical routine has raised a need for tools to exploit family genetic knowledge. On the clinical side, an application for managing and visualizing pedigree diagrams could provide genetics specialists...
Pedigree Computer Graphics Biological Ontologies Humans Terminology as Topic Software Vocabulary, Controlled Internet
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Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Feb 25, 2020
BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel ...
Neoplastic Syndromes, Hereditary Genetic Heterogeneity Utah Pedigree Adult Male Middle Aged Aged Genetic Predisposition to Disease Risk Assessment Humans Aged, 80 and over Urinary Bladder Neoplasms Adolescent Young Adult Female Machine Learning Data Mining Incidence Risk Factors Databases, Factual Data Collection
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