Machine learning prediction of biomarkers from SNPs and of disease risk from biomarkers in the UK biobank

E Widen, TG Raben, L Lello, SDH Hsu - Genes, 2021 - mdpi.com
We use UK Biobank data to train predictors for 65 blood and urine markers such as HDL,
LDL, lipoprotein A, glycated haemoglobin, etc. from SNP genotype. For example, our …

Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries

Z Zheng, S Liu, J Sidorenko, L Yengo, P Turley, A Ani… - bioRxiv, 2022 - biorxiv.org
We develop a new method, SBayesRC, that integrates GWAS summary statistics with
functional genomic annotations to improve polygenic prediction of complex traits. Our …

Medications for treating alcohol use disorder: A narrative review

HR Kranzler, EE Hartwell - Alcohol: Clinical and Experimental …, 2023 - Wiley Online Library
Chronic heavy alcohol use impacts all major neurotransmitter systems and is associated
with multiple medical, psychiatric, and social problems. Available evidence‐based …

Machine learning based disease prediction from genotype data

N Katsaouni, A Tashkandi, L Wiese… - Biological Chemistry, 2021 - degruyter.com
Using results from genome-wide association studies for understanding complex traits is a
current challenge. Here we review how genotype data can be used with different machine …

Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study

H Xu, S Toikumo, RC Crist, K Glogowska, Z Jinwala… - …, 2023 - Wiley Online Library
Abstract Background and Aims Genome‐wide association studies (GWAS) of opioid use
disorder (OUD) and cannabis use disorder (CUD) have lagged behind those of alcohol use …

[HTML][HTML] Gene variants in eating disorders. Focus on anorexia nervosa, bulimia nervosa, and binge-eating disorder

K Donato, MR Ceccarini, K Dhuli, G Bonetti… - Journal of Preventive …, 2022 - ncbi.nlm.nih.gov
Eating disorders such as anorexia nervosa, bulimia nervosa and binge-eating disorder,
have a deep social impact, concluding with death in cases of severe disease. Eating …

Could interventions on physical activity mitigate genomic liability for obesity? Applying the health disparity framework in genetically informed studies

M Herle, A Pickles, O Pain, R Viner, JB Pingault… - European Journal of …, 2023 - Springer
Polygenic scores (PGS) are now commonly available in longitudinal cohort studies, leading
to their integration into epidemiological research. In this work, our aim is to explore how …

Association of polygenic scores for depression and neuroticism with perceived stress in daily life during a long‐lasting stress period

HL Peter, M Giglberger, F Streit, J Frank… - Genes, Brain and …, 2023 - Wiley Online Library
Genetic factors contribute significantly to interindividual differences in the susceptibility to
stress‐related disorders. As stress can also be conceptualized as environmental exposure …

Evaluation of tree-based statistical learning methods for constructing genetic risk scores

M Lau, C Wigmann, S Kress, T Schikowski… - BMC …, 2022 - Springer
Background Genetic risk scores (GRS) summarize genetic features such as single
nucleotide polymorphisms (SNPs) in a single statistic with respect to a given trait. So far …

Polygenic risk for mental disorders as predictors of posttraumatic stress disorder after mild traumatic brain injury

MB Stein, S Jain, L Parodi, KW Choi… - Translational …, 2023 - nature.com
Many patients with mild traumatic brain injury (mTBI) are at risk for mental health problems
such as posttraumatic stress disorder (PTSD). The objective of this study was to determine …