Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries
Biobanks that collect deep phenotypic and genomic data across many individuals have
emerged as a key resource in human genetics. However, phenotypes in biobanks are often …
emerged as a key resource in human genetics. However, phenotypes in biobanks are often …
Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanks
Within population biobanks, incomplete measurement of certain traits limits the power for
genetic discovery. Machine learning is increasingly used to impute the missing values from …
genetic discovery. Machine learning is increasingly used to impute the missing values from …
Identification of Potential Biomarkers for Major Depressive Disorder: Based on Integrated Bioinformatics and Clinical Validation
X Zhong, Y Chen, W Chen, Y Liu, S Gui, J Pu… - Molecular …, 2024 - Springer
Major depressive disorder (MDD) is a severe mental illness characterized by a lack of
objective biomarkers. Mounting evidence suggests there are extensive transcriptional …
objective biomarkers. Mounting evidence suggests there are extensive transcriptional …
Evidence for strong genetic correlations among internalizing psychopathology and related self-reported measures using both genomic and twin/adoptive approaches.
DE Gustavson, EF Stern, CA Reynolds… - … and Clinical Science, 2024 - psycnet.apa.org
The internalizing construct captures shared variance underlying risk for mood and anxiety
disorders. Internalizing factors based on diagnoses (or symptoms) of major depressive …
disorders. Internalizing factors based on diagnoses (or symptoms) of major depressive …
Valid inference for machine learning-assisted GWAS
Machine learning (ML) has revolutionized analytical strategies in almost all scientific
disciplines including human genetics and genomics. Due to challenges in sample collection …
disciplines including human genetics and genomics. Due to challenges in sample collection …
[HTML][HTML] Polygenic Analyses Show Important Differences Between Major Depressive Disorder Symptoms Measured Using Various Instruments
Background Symptoms of major depressive disorder (MDD) are commonly assessed using
self-rating instruments like the Patient Health Questionnaire-9 (PHQ-9)(current symptoms) …
self-rating instruments like the Patient Health Questionnaire-9 (PHQ-9)(current symptoms) …
Identification of Myocardial Infarction (MI) Probability from Imbalanced Medical Survey Data: An Artificial Neural Network (ANN) with Explainable AI (XAI) Insights.
In the healthcare industry, many artificial intelligence (AI) models have attempted to
overcome bias from class imbalances while also maintaining high results. Firstly, when …
overcome bias from class imbalances while also maintaining high results. Firstly, when …
[HTML][HTML] Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes
Polygenic prediction of complex trait phenotypes has become important in human genetics,
especially in the context of precision medicine. Recently, Morgante et al. introduced mr …
especially in the context of precision medicine. Recently, Morgante et al. introduced mr …
Multi-organ imaging-derived polygenic indexes for brain and body health
X Yang, PF Sullivan, B Li, Z Fan, D Ding, J Shu, Y Guo… - medRxiv, 2023 - medrxiv.org
The UK Biobank's brain imaging data is an essential resource for clinical research, but its
cost and difficulty in obtaining limit the imaging study to only 100,000 participants, leaving …
cost and difficulty in obtaining limit the imaging study to only 100,000 participants, leaving …