Results 11 to 20 of about 3,753,733 (329)

The goldmine of GWAS summary statistics: a systematic review of methods and tools [PDF]

BioData Mining
Genome-wide association studies (GWAS) have revolutionized our understanding of the genetic architecture of complex traits and diseases. GWAS summary statistics have become essential tools for various genetic analyses, including meta-analysis, fine ...
Panagiota I. Kontou, Pantelis G. Bagos
doaj   +2 more sources

Computationally efficient meta-analysis of gene-based tests using summary statistics in large-scale genetic studies. [PDF]

Nat Genet
Joseph TA, Mbatchou J, Ghosh A, Marcketta A, Gillies CE, Tang J, Nakka P, Zhang X, Kosmicki JA, Sidore C, Gurski L, Regeneron Genetics Center, Ghoussaini M, Ferreira MAR, Abecasis G, Marchini J.   +15 more
europepmc   +3 more sources

Non Parametric ROC Summary Statistics

Revstat Statistical Journal, 2022
Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare ...
M.C. Pardo , A.M. Franco-Pereira
doaj   +1 more source

Extracting Summary Statistics of Rapid Numerical Sequences

Frontiers in Psychology, 2021
We examine the ability of observers to extract summary statistics (such as the mean and the relative-variance) from rapid numerical sequences of two digit numbers presented at a rate of 4/s.
David Rosenbaum, Moshe Glickman, Moshe Glickman, Marius Usher   +3 more
doaj   +1 more source

Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics [PDF]

PLoS Genetics, 2013
Genetic association studies, in particular the genome-wide association study (GWAS) design, have provided a wealth of novel insights into the aetiology of a wide range of human diseases and traits, in particular cardiovascular diseases and lipid ...
C. Giambartolomei, Damjan Vukcevic, E. Schadt, L. Franke, A. Hingorani, C. Wallace, V. Plagnol   +6 more
semanticscholar   +1 more source

A community driven GWAS summary statistics standard

bioRxiv, 2023
Summary statistics from genome-wide association studies (GWAS) represent a huge potential for research. A challenge for researchers in this field is the access and sharing of summary statistics data due to a lack of standards for the data content and ...
J. Hayhurst, A. Buniello, Laura W. Harris, Abayomi Mosaku, Christopher C Chang, Christopher R. Gignoux, K. Hatzikotoulas, M. Karim, Samuel A. Lambert, M. Lyon, A. McMahon, Y. Okada, N. Pirastu, N. Rayner, Jeremy Schwartzentruber, Robert Vaughan, S. Verma, S. Wilder, Fiona Cunningham, L. Hindorff, Ken Wiley, H. Parkinson, I. Barroso   +22 more
semanticscholar   +1 more source

Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.

Psychological methods, 2022
This article proposes a summary-statistics-based power analysis-a practical method for conducting power analysis for mixed-effects modeling with two-level nested data (for both binary and continuous predictors), complementing the existing formula-based ...
K. Murayama, S. Usami, M. Sakaki
semanticscholar   +1 more source

Targeted Optimal Treatment Regime Learning Using Summary Statistics [PDF]

Biometrika, 2022
Personalized decision-making, aiming to derive optimal treatment regimes based on individual characteristics, has recently attracted increasing attention in many fields, such as medicine, social services, and economics.
Jianing Chu, Wenbin Lu, Shu Yang
semanticscholar   +1 more source

Estimating colocalization probability from limited summary statistics

BMC Bioinformatics, 2021
Background Colocalization is a statistical method used in genetics to determine whether the same variant is causal for multiple phenotypes, for example, complex traits and gene expression.
Emily A. King, Fengjiao Dunbar, Justin Wade Davis, Jacob F. Degner   +3 more
doaj   +1 more source

Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics

bioRxiv, 2022
Mendelian Randomization (MR) is a valuable tool for inferring causal relationships among a wide range of traits using summary statistics from genome-wide association studies (GWASs).
Xianghong Hu, Jia Zhao, Zhixiang Lin, Yang Wang, Heng Peng, Hongyu Zhao, X. Wan, Can Yang   +7 more
semanticscholar   +1 more source