Dimensionality of genomic information and its impact on genome-wide associations and variant selection for genomic prediction: a simulation study

CONCLUSIONS: Accurately identifying causative variants from sequence data depends on the effective population size and, therefore, on the dimensionality of genomic information. This dimensionality can help identify the most suitable sample size for GWA and could be considered for variant selection, especially when resources are restricted. Even when variants are accurately identified, their inclusion in prediction models has limited benefits.PMID:37460964 | PMC:PMC10351171 | DOI:10.1186/s12711-023-00823-0

Source: Genet Sel Evol - July 17, 2023 Category: Genetics & Stem Cells Authors: Sungbong Jang Shogo Tsuruta Natalia Galoro Leite Ignacy Misztal Daniela Lourenco Source Type: research