SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration

SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration

Abstract 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. To date, bioinformatics tools which focus on restoring missing co...

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Bibliographic Details
Main Authors: Mykyta Matushyn, Madhuchanda Bose, Abdallah Amr Mahmoud, Lewis Cuthbertson, Carlos Tello, Karatuğ Ozan Bircan, Andrew Terpolovsky, Varuna Bamunusinghe, Umar Khan, Biljana Novković, Manfred G. Grabherr, Puya G. Yazdi
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Bioinformatics
Subjects:
Bioinformatics
GWAS
Summary statistics
PRS
Genetics
Online Access:https://doi.org/10.1186/s12859-022-04920-7

Internet

https://doi.org/10.1186/s12859-022-04920-7

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