Results 21 to 30 of about 3,753,733 (329)
Summary Genome-wide association studies (GWAS) summary statistics have popularised and accelerated genetic research. However, a lack of standardisation of the file formats used has proven problematic when running secondary analysis tools or performing ...
Alan E. Murphy, Nathan G. Skene
semanticscholar +1 more source
A comparison of likelihood-free methods with and without summary statistics [PDF]
Likelihood-free methods are useful for parameter estimation of complex models with intractable likelihood functions for which it is easy to simulate data.
C. Drovandi, David T. Frazier
semanticscholar +1 more source
Polygenic risk scores are used to improve risk prediction for common diseases but typically have reduced accuracy for individuals of non-European ancestry.
J. Miao +5 more
semanticscholar +1 more source
SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration
Background Generating polygenic risk scores for diseases and complex traits requires high quality GWAS summary statistic files. Often, these files can be difficult to acquire either as a result of unshared or incomplete data.
Mykyta Matushyn +11 more
doaj +1 more source
An Omnibus Test for Detecting Multiple Phenotype Associations Based on GWAS Summary Level Data
Abundant Genome-wide association study (GWAS) findings have reflected the sharing of genetic variants among multiple phenotypes. Exploring the association between genetic variants and multiple traits can provide novel insights into the biological ...
Wei Liu, Yunshan Guo, Zhonghua Liu
doaj +1 more source
Integrative Mendelian randomization for detecting exposure-by-group interactions using group-specific and combined summary statistics. [PDF]
Xu K +8 more
europepmc +3 more sources
Human microbiome privacy risks associated with summary statistics.
Recognizing that microbial community composition within the human microbiome is associated with the physiological state of the host has sparked a large number of human microbiome association studies (HMAS).
Jae-Chang Cho
doaj +1 more source
A tool for translating polygenic scores onto the absolute scale using summary statistics
There is growing interest in the clinical application of polygenic scores as their predictive utility increases for a range of health-related phenotypes.
Oliver Pain +4 more
semanticscholar +1 more source
PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics
Polygenic risk scores (PRSs) have wide applications in human genetics research, but often include tuning parameters which are difficult to optimize in practice due to limited access to individual-level data.
Zijie Zhao +8 more
semanticscholar +1 more source

