Using genome sequence data enables breeding to balance efficient production with e.g. better health and welfare.
In the next coming few years, it is expected that whole genome sequence data will be widely available at reasonable costs. Instead of using the current marker panels, these sequence data can be used for detection of genes, prediction of breeding values or estimation of (genetic) variance components in animals and plants.
Increased reliability of genomic predictions
It is expected that sequence data, in contrast to current marker panels, will capture (almost) all genetic variance, which will increase the reliability of genomic predictions. Also it is expected that pleiotropic effects, dominance effects, episatic interactions, or interactions with environmental factors can be studied further, and rare mutations that cause rare phenotypes or genetic defects are expected to be detected more efficiently with information gained by sequence data.
Altogether this will lead to better models and better predictions of phenotypes now and in the future.
Animal breeding for food security : opportunities in the genome sequencing era
Wageningen : Wageningen University, Wageningen UR - ISBN 9789461733245 - p.
Accuracy of imputation to whole-genome sequence data in Holstein Friesian cattle
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Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
Nature Genetics 46 (2014). - ISSN 1061-4036 - p. 858 - 865.
Consequences of Splitting Sequencing Effort over Multiple Breeds on Imputation Accuracy
Consequences of splitting whole-genome sequencing effort over multiple breeds on imputation accuracy
BMC Genetics 15 (2014). - ISSN 1471-2156 - 9 p.
Genomic Prediction with 12.5 Million SNPs for 5503 Holstein Friesian Bulls
Added value of whole-genome sequence data to genomic predictions in dairy cattle