Gene interactions in human disease studies—evidence is mounting

P Singhal, SS Verma, MD Ritchie - Annual Review of Biomedical …, 2023 - annualreviews.org
Despite monumental advances in molecular technology to generate genome sequence data
at scale, there is still a considerable proportion of heritability in most complex diseases that …

Epistatic features and machine learning improve Alzheimer's disease risk prediction over polygenic risk scores

S Hermes, J Cady, S Armentrout… - Journal of …, 2024 - journals.sagepub.com
Background: Polygenic risk scores (PRS) are linear combinations of genetic markers
weighted by effect size that are commonly used to predict disease risk. For complex …

Feature selection for polygenic risk scores using genetic algorithm and network science

Z Sha, T Hu, Y Chen - 2021 IEEE Congress on Evolutionary …, 2021 - ieeexplore.ieee.org
Many human diseases can be attributed to genetic variations in the genome. Scientists have
been identifying genetic variants associated with disease risks using population-based data …

Novel digital approaches to the assessment of problematic opioid use

PJ Freda Jr, HR Kranzler, JH Moore - BioData Mining, 2022 - Springer
The opioid epidemic continues to contribute to loss of life through overdose and significant
social and economic burdens. Many individuals who develop problematic opioid use (POU) …

Develo** SNP Interaction Polygenic Risk Scores (PRS-int Scores)

I Sarkar - 2024 - search.proquest.com
Understanding the intricate relationship between an individual's genetic variants
(genotypes) and their observable traits (phenotypes) is imperative for comprehending the …

NSPA: characterizing the disease association of multiple genetic interactions at single-subject resolution

Z Sha, Y Chen, T Hu - Bioinformatics Advances, 2023 - academic.oup.com
Motivation The interaction between genetic variables is one of the major barriers to
characterizing the genetic architecture of complex traits. To consider epistasis, network …

Genetic Data Analysis and Interpretation Via Feature Selection and Network Science

Z Sha - 2024 - search.proquest.com
This thesis presents novel methods for interpreting genetic data, with a specific emphasis on
the genetic architecture of complex diseases. Traditional approaches attempt to analyze …

[PDF][PDF] Novel digital approaches to the assessment of problematic opioid use

PJF Jr, HR Kranzler, JH Moore - 2022 - biodatamining.biomedcentral.com
Background The prevalence and consequences of problematic opioid use (POU) continue
to be serious societal issues. Of the 71,000 overdose deaths that occurred in the United …

[PDF][PDF] DE ROL VAN PREDICTIEMODELLEN IN GWAIS

E Van Hecke - libstore.ugent.be
Sinds de vervollediging van het Humane Genome Project in 2003-2005 zijn GWAS studies
een populair instrument geworden binnen de genetische epidemiologie. In navolging van …

[PDF][PDF] Discovering Epistatic Interaction Features via High Performance Machine Learning

Q Wang - 2021 - minerva-access.unimelb.edu.au
Abstract GENOME-wide Association Studies (GWAS) are increasingly popular in screening
the genetic architecture of human genome. For a typical GWAS study, half a million genetic …