Results 41 to 50 of about 3,753,733 (329)
Multi-trait analysis of genome-wide association summary statistics using MTAG
Nature Genetics, 2017 We introduce multi-trait analysis of GWAS (MTAG), a method for joint analysis of summary statistics from genome-wide association studies (GWAS) of different traits, possibly from overlapping samples.
P. Turley +42 more
semanticscholar +1 more source
Improved polygenic prediction by Bayesian multiple regression on summary statistics
Nature Communications, 2019 Accurate prediction of an individual’s phenotype from their DNA sequence is one of the great promises of genomics and precision medicine. We extend a powerful individual-level data Bayesian multiple regression model (BayesR) to one that utilises summary ...
Luke R. Lloyd‐Jones +14 more
semanticscholar +1 more source
Improved Estimation of Phenotypic Correlations Using Summary Association Statistics
Frontiers in Genetics, 2021 Estimating the phenotypic correlations between complex traits and diseases based on their genome-wide association summary statistics has been a useful technique in genetic epidemiology and statistical genetics inference.
Ting Li +4 more
doaj +1 more source
bioRxiv, 2019 Mendelian randomization (MR) is a valuable tool for detecting causal effects by using genetic variant associations. Opportunities to apply MR are growing rapidly with the increasing number of genome-wide association studies (GWAS).
J. Morrison +4 more
semanticscholar +1 more source
Statistical summary representations of bound features [PDF]
Attention, Perception, & Psychophysics, 2020 The visual system can efficiently summarize various lower-level and higher-level features of ensembles. However, no research to date has directly investigated how different features interact with each other within a single summary and whether people can efficiently report an integrated summary of two feature dimensions. In the first two experiments, we
Boduroglu, Aysecan, Yildirim, Irem
openaire +3 more sources
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation [PDF]
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020 Approximate Bayesian Computation is widely used in systems biology for inferring parameters in stochastic gene regulatory network models. Its performance hinges critically on the ability to summarize high-dimensional system responses such as time series ...
Mattias Åkesson +3 more
semanticscholar +1 more source
Evidence for a global sampling process in extraction of summary statistics of item sizes in a set
Frontiers in Psychology, 2016 Several studies have shown that our visual system may construct a summary statistical representation over groups of visual objects. Although there is a general understanding that human observers can accurately represent sets of a variety of features ...
Midori eTokita +2 more
doaj +1 more source
Frontiers in Genetics, 2021 BackgroundIn two-sample Mendelian randomization (MR) studies, sex instrumental heterogeneity is an important problem needed to address carefully, which however is often overlooked and may lead to misleading causal inference.MethodsWe first employed cross-
Yixin Gao +6 more
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Dried fruit intake causally protects against low back pain: A Mendelian randomization study
Frontiers in Nutrition, 2023 BackgroundLow back pain is the leading cause of years lived with disability worldwide. The aim of this study was to evaluate whether dried fruit intake causally protects against low back pain using two-sample Mendelian randomization (MR).MethodsWe ...
Jian Huang, Zheng-Fu Xie
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Improved genetic prediction of complex traits from individual-level data or summary statistics
Nature Communications, 2020 Most existing tools for constructing genetic prediction models begin with the assumption that all genetic variants contribute equally towards the phenotype. However, this represents a suboptimal model for how heritability is distributed across the genome.
Qianqian Zhang +3 more
semanticscholar +1 more source