MESuSiE enables scalable and powerful multi-ancestry fine-mapping of causal variants in genome-wide association studies
B Gao, X Zhou - Nature Genetics, 2024 - nature.com
Fine-mapping in genome-wide association studies attempts to identify causal SNPs from a
set of candidate SNPs in a local genomic region of interest and is commonly performed in …
set of candidate SNPs in a local genomic region of interest and is commonly performed in …
Leveraging information between multiple population groups and traits improves fine-mapping resolution
F Zhou, O Soremekun, T Chikowore, S Fatumo… - Nature …, 2023 - nature.com
Statistical fine-mapping helps to pinpoint likely causal variants underlying genetic
association signals. Its resolution can be improved by (i) leveraging information between …
association signals. Its resolution can be improved by (i) leveraging information between …
Integration of expression QTLs with fine mapping via SuSiE
Genome-wide association studies (GWASs) have achieved remarkable success in
associating thousands of genetic variants with complex traits. However, the presence of …
associating thousands of genetic variants with complex traits. However, the presence of …
Colocalization analysis of 3′ UTR alternative polyadenylation quantitative trait loci reveals novel mechanisms underlying associations with lung function
While many disease-associated single nucleotide polymorphisms (SNPs) are expression
quantitative trait loci (eQTLs), a large proportion of genome-wide association study (GWAS) …
quantitative trait loci (eQTLs), a large proportion of genome-wide association study (GWAS) …
A Bayesian fine-mapping model using a continuous global-local shrinkage prior with applications in prostate cancer analysis
The aim of fine mapping is to identify genetic variants causally contributing to complex traits
or diseases. Existing fine-mapping methods employ Bayesian discrete mixture priors and …
or diseases. Existing fine-mapping methods employ Bayesian discrete mixture priors and …
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, mr. mash, a flexible and …
especially in the context of precision medicine. Recently, mr. mash, a flexible and …
[HTML][HTML] Improved multi-ancestry fine-mapping identifies cis-regulatory variants underlying molecular traits and disease risk
Multi-ancestry statistical fine-mapping of cis-molecular quantitative trait loci (cis-molQTL)
aims to improve the precision of distinguishing causal cis-molQTLs from tagging variants …
aims to improve the precision of distinguishing causal cis-molQTLs from tagging variants …
Improved methods for empirical Bayes multivariate multiple testing and effect size estimation
Estimating the sharing of genetic effects across different conditions is important to many
statistical analyses of genomic data. The patterns of sharing arising from these data are …
statistical analyses of genomic data. The patterns of sharing arising from these data are …
A novel bayesian fine-mapping model using a continuous global-local shrinkage prior with applications in prostate cancer analysis
The aim of fine-mapping is to identify genetic variants causally contributing to complex traits
or diseases. Existing fine-mapping methods employ discrete Bayesian mixture priors and …
or diseases. Existing fine-mapping methods employ discrete Bayesian mixture priors and …
[HTML][HTML] GWAS-informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density
Over 1,100 independent signals have been identified with genome-wide association studies
(GWAS) for bone mineral density (BMD), a key risk factor for mortality-increasing fragility …
(GWAS) for bone mineral density (BMD), a key risk factor for mortality-increasing fragility …