AIMC Topic: Genome-Wide Association Study

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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder.

Translational psychiatry Feb 7, 2025
Although the efficacy of pharmacy in the treatment of attention deficit/hyperactivity disorder (ADHD) has been well established, the lack of predictors of treatment response poses great challenges for personalized treatment. The current study employe...
Female Male Deep Learning Humans Polymorphism, Single Nucleotide Membrane Proteins Treatment Outcome Attention Deficit Disorder with Hyperactivity Adolescent Genome-Wide Association Study Child
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Analysis of the genetic basis of fiber-related traits and flowering time in upland cotton using machine learning.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jan 24, 2025
Cotton is an important crop for fiber production, but the genetic basis underlying key agronomic traits, such as fiber quality and flowering days, remains complex. While machine learning (ML) has shown great potential in uncovering the genetic archit...
Gossypium Polymorphism, Single Nucleotide Machine Learning Quantitative Trait Loci Flowers Phenotype Cotton Fiber Genome-Wide Association Study
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Modeling gene interactions in polygenic prediction via geometric deep learning.

Genome research Jan 22, 2025
Polygenic risk score (PRS) is a widely used approach for predicting individuals' genetic risk of complex diseases, playing a pivotal role in advancing precision medicine. Traditional PRS methods, predominantly following a linear structure, often fall...
Epistasis, Genetic Multifactorial Inheritance Humans Neural Networks, Computer Genetic Predisposition to Disease Deep Learning Models, Genetic Genome-Wide Association Study
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine.

The journal of headache and pain Jan 20, 2025
BACKGROUND: Migraine is a complex neurological disorder characterized by recurrent episodes of severe headaches. Although genetic factors have been implicated, the precise molecular mechanisms, particularly gene expression patterns in migraine-associ...
Migraine Disorders Genetic Predisposition to Disease Polymorphism, Single Nucleotide Transcription Factors Machine Learning Genome-Wide Association Study Gene Regulatory Networks Humans Gene Expression Profiling
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Deep self-representation learning with hyper-laplacian regularization for brain imaging genetics association analysis.

Methods (San Diego, Calif.) Jan 19, 2025
Brain imaging genetics aims to explore the association between genetic factors such as single nucleotide polymorphisms (SNPs) and brain imaging quantitative traits (QTs). However, most existing methods do not consider the nonlinear correlations betwe...
Polymorphism, Single Nucleotide Humans Genotype Deep Learning Magnetic Resonance Imaging Genetic Association Studies Neural Networks, Computer Genome-Wide Association Study Neuroimaging Algorithms Image Processing, Computer-Assisted Brain
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Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of Fraxinus excelsior Tolerance to Ash Dieback in Europe.

Plant, cell & environment Jan 17, 2025
Common ash (Fraxinus excelsior) is under intensive attack from the invasive alien pathogenic fungus Hymenoscyphus fraxineus, causing ash dieback at epidemic levels throughout Europe. Previous studies have found significant genetic variation among gen...
Machine Learning Genotype Europe Ascomycota Plant Diseases Disease Resistance Phenotype Fraxinus Genome-Wide Association Study Polymorphism, Single Nucleotide
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Genome-wide association study on color-image-based convolutional neural networks.

PeerJ Jan 13, 2025
BACKGROUND: Convolutional neural networks have excellent modeling abilities to complex large-scale datasets and have been applied to genomics. It requires converting genotype data to image format when employing convolutional neural networks to genome...
Convolutional Neural Networks Genome-Wide Association Study Image Processing, Computer-Assisted Genotype Color Humans Neural Networks, Computer
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Genomic determinants of biological age estimated by deep learning applied to retinal images.

GeroScience Jan 8, 2025
With the development of deep learning (DL) techniques, there has been a successful application of this approach to determine biological age from latent information contained in retinal images. Retinal age gap (RAG) defined as the difference between c...
Retina Genome-Wide Association Study Polymorphism, Single Nucleotide Mendelian Randomization Analysis Aging Middle Aged Deep Learning Aged Humans Male Female
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Rapid and accurate multi-phenotype imputation for millions of individuals.

Nature communications Jan 4, 2025
Deep phenotyping can enhance the power of genetic analysis, including genome-wide association studies (GWAS), but the occurrence of missing phenotypes compromises the potential of such resources. Although many phenotypic imputation methods have been ...
Polymorphism, Single Nucleotide Heart Rate Quantitative Trait Loci Humans Machine Learning Algorithms Phenotype Genome-Wide Association Study
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Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank.

Nature communications Jan 2, 2025
Bone marrow adipose tissue is a distinct adipose subtype comprising more than 10% of fat mass in healthy humans. However, the functions and pathophysiological correlates of this tissue are unclear, and its genetic determinants remain unknown. Here, w...
Humans Female Aged Deep Learning Genome-Wide Association Study Polymorphism, Single Nucleotide Magnetic Resonance Imaging Adult Male Middle Aged UK Biobank White People Adiposity United Kingdom Adipose Tissue Bone Marrow Biological Specimen Banks
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