Model-based assessment of replicability for genome-wide association meta-analysis

Model-based assessment of replicability for genome-wide association meta-analysis

In genome-wide association meta-analysis, it is often difficult to find an independent dataset of sufficient size to replicate associations. Here, the authors have developed MAMBA to calculate the probability of replicability based on consistency between datasets within the meta-analysis.

Bibliographic Details
Main Authors: Daniel McGuire, Yu Jiang, Mengzhen Liu, J. Dylan Weissenkampen, Scott Eckert, Lina Yang, Fang Chen, GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN), Arthur Berg, Scott Vrieze, Bibo Jiang, Qunhua Li, Dajiang J. Liu
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21226-z
id doaj-6c029971d51f400b8a1f25c6554953b1
record_format Article
spelling doaj-6c029971d51f400b8a1f25c6554953b12021-04-04T11:12:20ZengNature Publishing GroupNature Communications2041-17232021-03-0112111410.1038/s41467-021-21226-zModel-based assessment of replicability for genome-wide association meta-analysisDaniel McGuire0Yu Jiang1Mengzhen Liu2J. Dylan Weissenkampen3Scott Eckert4Lina Yang5Fang Chen6GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN)Arthur Berg7Scott Vrieze8Bibo Jiang9Qunhua Li10Dajiang J. Liu11Department of Public Health Sciences, Penn State College of MedicineDepartment of Public Health Sciences, Penn State College of MedicineDepartment of Psychology, University of MinnesotaDepartment of Public Health Sciences, Penn State College of MedicineDepartment of Public Health Sciences, Penn State College of MedicineDepartment of Public Health Sciences, Penn State College of MedicineDepartment of Public Health Sciences, Penn State College of MedicineDepartment of Public Health Sciences, Penn State College of MedicineDepartment of Psychology, University of MinnesotaDepartment of Public Health Sciences, Penn State College of MedicineDepartment of Statistics, Penn State UniversityDepartment of Public Health Sciences, Penn State College of MedicineIn genome-wide association meta-analysis, it is often difficult to find an independent dataset of sufficient size to replicate associations. Here, the authors have developed MAMBA to calculate the probability of replicability based on consistency between datasets within the meta-analysis.https://doi.org/10.1038/s41467-021-21226-z
collection DOAJ
language English
format Article
sources DOAJ
author Daniel McGuire
Yu Jiang
Mengzhen Liu
J. Dylan Weissenkampen
Scott Eckert
Lina Yang
Fang Chen
GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN)
Arthur Berg
Scott Vrieze
Bibo Jiang
Qunhua Li
Dajiang J. Liu
spellingShingle Daniel McGuire
Yu Jiang
Mengzhen Liu
J. Dylan Weissenkampen
Scott Eckert
Lina Yang
Fang Chen
GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN)
Arthur Berg
Scott Vrieze
Bibo Jiang
Qunhua Li
Dajiang J. Liu
Model-based assessment of replicability for genome-wide association meta-analysis
Nature Communications
author_facet Daniel McGuire
Yu Jiang
Mengzhen Liu
J. Dylan Weissenkampen
Scott Eckert
Lina Yang
Fang Chen
GWAS and Sequencing Consortium of Alcohol and Nicotine Use (GSCAN)
Arthur Berg
Scott Vrieze
Bibo Jiang
Qunhua Li
Dajiang J. Liu
author_sort Daniel McGuire
title Model-based assessment of replicability for genome-wide association meta-analysis
title_short Model-based assessment of replicability for genome-wide association meta-analysis
title_full Model-based assessment of replicability for genome-wide association meta-analysis
title_fullStr Model-based assessment of replicability for genome-wide association meta-analysis
title_full_unstemmed Model-based assessment of replicability for genome-wide association meta-analysis
title_sort model-based assessment of replicability for genome-wide association meta-analysis
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2021-03-01
description In genome-wide association meta-analysis, it is often difficult to find an independent dataset of sufficient size to replicate associations. Here, the authors have developed MAMBA to calculate the probability of replicability based on consistency between datasets within the meta-analysis.
url https://doi.org/10.1038/s41467-021-21226-z
work_keys_str_mv AT danielmcguire modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT yujiang modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT mengzhenliu modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT jdylanweissenkampen modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT scotteckert modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT linayang modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT fangchen modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT gwasandsequencingconsortiumofalcoholandnicotineusegscan modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT arthurberg modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT scottvrieze modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT bibojiang modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT qunhuali modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
AT dajiangjliu modelbasedassessmentofreplicabilityforgenomewideassociationmetaanalysis
_version_ 1721542947852255232

Similar Items