Fine-mapping from summary data with the “Sum of Single Effects” model
In recent work, Wang et al introduced the “Sum of Single Effects”(SuSiE) model, and showed
that it provides a simple and efficient approach to fine-mapping genetic variants from …
that it provides a simple and efficient approach to fine-mapping genetic variants from …
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference
X Meng, G Navoly, O Giannakopoulou, DF Levey… - Nature …, 2024 - nature.com
Most genome-wide association studies (GWAS) of major depression (MD) have been
conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD …
conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD …
Whole-genome sequencing reveals host factors underlying critical COVID-19
A Kousathanas, E Pairo-Castineira, K Rawlik… - Nature, 2022 - nature.com
Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic
variation influences the development of illness requiring critical care or hospitalization,–after …
variation influences the development of illness requiring critical care or hospitalization,–after …
CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses
Fine-mapping is commonly used to identify putative causal variants at genome-wide
significant loci. Here we propose a Bayesian model for fine-mapping that has several …
significant loci. Here we propose a Bayesian model for fine-mapping that has several …
Meta-analysis fine-mapping is often miscalibrated at single-variant resolution
Meta-analysis is pervasively used to combine multiple genome-wide association studies
(GWASs). Fine-mapping of meta-analysis studies is typically performed as in a single-cohort …
(GWASs). Fine-mapping of meta-analysis studies is typically performed as in a single-cohort …
Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts
Polygenic risk scores (PRSs) have been widely explored in precision medicine. However,
few studies have thoroughly investigated their best practices in global populations across …
few studies have thoroughly investigated their best practices in global populations across …
Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
We develop a method, SBayesRC, that integrates genome-wide association study (GWAS)
summary statistics with functional genomic annotations to improve polygenic prediction of …
summary statistics with functional genomic annotations to improve polygenic prediction of …
Extremely sparse models of linkage disequilibrium in ancestrally diverse association studies
Linkage disequilibrium (LD) is the correlation among nearby genetic variants. In genetic
association studies, LD is often modeled using large correlation matrices, but this approach …
association studies, LD is often modeled using large correlation matrices, but this approach …
[HTML][HTML] Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes
Molecular quantitative trait loci (xQTLs) are often harnessed to prioritize genes or functional
elements underpinning variant-trait associations identified from genome-wide association …
elements underpinning variant-trait associations identified from genome-wide association …
[HTML][HTML] Modeling of horizontal pleiotropy identifies possible causal gene expression in systemic lupus erythematosus
Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune condition with
complex causes involving genetic and environmental factors. While genome-wide …
complex causes involving genetic and environmental factors. While genome-wide …