Tutorial: a guide to performing polygenic risk score analyses
SW Choi, TSH Mak, PF O'Reilly - Nature protocols, 2020 - nature.com
A polygenic score (PGS) or polygenic risk score (PRS) is an estimate of an individual's
genetic liability to a trait or disease, calculated according to their genotype profile and …
genetic liability to a trait or disease, calculated according to their genotype profile and …
Molecular quantitative trait loci
Understanding functional effects of genetic variants is one of the key challenges in human
genetics, as much of disease-associated variation is located in non-coding regions with …
genetics, as much of disease-associated variation is located in non-coding regions with …
MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation
We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and
interpreting data from targeted as well as untargeted metabolomics studies using liquid …
interpreting data from targeted as well as untargeted metabolomics studies using liquid …
[HTML][HTML] Calculating polygenic risk scores (PRS) in UK Biobank: a practical guide for epidemiologists
A polygenic risk score estimates the genetic risk of an individual for some disease or trait,
calculated by aggregating the effect of many common variants associated with the condition …
calculated by aggregating the effect of many common variants associated with the condition …
A cause–effect relationship between graves' Disease and the gut microbiome contributes to the thyroid–gut axis: A bidirectional two-sample mendelian randomization …
J Cao, N Wang, Y Luo, C Ma, Z Chen… - Frontiers in …, 2023 - frontiersin.org
Background An association between Graves' disease (GD) and the gut microbiome has
been identified, but the causal effect between them remains unclear. Methods Bidirectional …
been identified, but the causal effect between them remains unclear. Methods Bidirectional …
A genetically informed Registered Report on adverse childhood experiences and mental health
Children who experience adversities have an elevated risk of mental health problems.
However, the extent to which adverse childhood experiences (ACEs) cause mental health …
However, the extent to which adverse childhood experiences (ACEs) cause mental health …
Interpreting omics data with pathway enrichment analysis
Pathway enrichment analysis is indispensable for interpreting omics datasets and
generating hypotheses. However, the foundations of enrichment analysis remain elusive to …
generating hypotheses. However, the foundations of enrichment analysis remain elusive to …
Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus
Systemic lupus erythematosus is a heritable autoimmune disease that predominantly affects
young women. To improve our understanding of genetic etiology, we conduct multi-ancestry …
young women. To improve our understanding of genetic etiology, we conduct multi-ancestry …
Estimating the prevalence and genetic risk mechanisms of ARFID in a large autism cohort
This study is the first genetically-informed investigation of avoidant/restrictive food intake
disorder (ARFID), an eating disorder that profoundly impacts quality of life for those affected …
disorder (ARFID), an eating disorder that profoundly impacts quality of life for those affected …
[HTML][HTML] Where the genome meets the connectome: understanding how genes shape human brain connectivity
The integration of modern neuroimaging methods with genetically informative designs and
data can shed light on the molecular mechanisms underlying the structural and functional …
data can shed light on the molecular mechanisms underlying the structural and functional …