Multi-trait multi-locus SEM model discriminates SNPs of different effects

Multi-trait multi-locus SEM model discriminates SNPs of different effects

Abstract Background There is a plethora of methods for genome-wide association studies. However, only a few of them may be classified as multi-trait and multi-locus, i.e. consider the influence of multiple genetic variants to several correlated phenotypes. Results We propose a multi-trait multi-locu...

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Bibliografische gegevens
Hoofdauteurs: Anna A. Igolkina, Georgy Meshcheryakov, Maria V. Gretsova, Sergey V. Nuzhdin, Maria G. Samsonova
Formaat: Artikel
Taal:English
Gepubliceerd in: BMC 2020-07-01
Reeks:BMC Genomics
Onderwerpen:
GWAS
SEM
Multi-trait multi-locus SEM
Bayesian inference
Chickpea
Online toegang:http://link.springer.com/article/10.1186/s12864-020-06833-2

Internet

http://link.springer.com/article/10.1186/s12864-020-06833-2

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