Publisert 2025

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Publikasjonsdetaljer

Tidsskrift : Genetics Selection Evolution , vol. 57 , p. 1–12 , 2025

Internasjonale standardnummer :
Trykt : 0999-193X
Elektronisk : 1297-9686

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Ajasa, Afees Abiola; Gjøen, Hans Magnus; Boison, Solomon Antwi; Lillehammer, Marie

Sak : 1

Forskningsområder

Avl og genetikk

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Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no

Sammendrag

In a previous study, we found low persistence of linkage disequilibrium (LD) phase across breeding populations of Atlantic salmon. Accordingly, we observed no increase in accuracy from combining these populations for genomic prediction. In this study, we aimed to examine if the same were true for detection power in genome-wide association studies (GWAS), in terms of reduction in p-values, and if the precision of mapping quantitative trait loci (QTL) would improve from such analysis. Since individual records may not always be available, e.g. due to proprietorship or confidentiality, we also compared mega-analysis and meta-analysis. Mega-analysis needs access to all individual records, whereas meta-analysis utilizes parameters, such as p-values or allele substitution effects, from multiple studies or populations. Furthermore, different methods for determining the presence or absence of independent or secondary signals, such as conditional association analysis, approximate conditional and joint analysis (COJO), and the clumping approach, were assessed.

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