Optimisation of the core subset for the APY approximation of genomic relationships

Autor: Ivan Pocrnic, Finn Lindgren, Daniel Tolhurst, William O. Herring, Gregor Gorjanc

Publikováno v: Genetics Selection Evolution, Vol 54, Iss 1, Pp 1-17 (2022)

Abstract Background By entering the era of mega-scale genomics, we are facing many computational issues with standard genomic evaluation models due to their dense data structure and cubic computational complexity. Several scalable approaches have bee

Externí odkaz: https://doaj.org/article/5d8d8987f0274add9d3ad5013a53519d

Inheritance of the birth weights in crosses between Istrian, Awassi, East-Friesian and Travnik Pramenka sheep in Croatia: a case study

Autor: Ivan Pocrnic, Alen Dzidic

Publikováno v: Journal of Central European Agriculture, Vol 22, Iss 2, Pp 250-259 (2021)

The purpose of the study was to estimate the influence of the additive and non-additive genetic effects on the birth weight, using two different crossbreed models. Data on 1176 birth weights were collected. The animals were crosses, with different ra

Externí odkaz: https://doaj.org/article/cffa2935503948419d5628c9fcc4142f

Accuracy of genomic BLUP when considering a genomic relationship matrix based on the number of the largest eigenvalues: a simulation study

Autor: Ivan Pocrnic, Daniela A. L. Lourenco, Yutaka Masuda, Ignacy Misztal

Publikováno v: Genetics Selection Evolution, Vol 51, Iss 1, Pp 1-10 (2019)

Abstract Background The dimensionality of genomic information is limited by the number of independent chromosome segments (M e ), which is a function of the effective population size. This dimensionality can be determined approximately by singular va

Externí odkaz: https://doaj.org/article/280f3cc059db4cc68afff89868c7272f

SNP profile for quantitative trait nucleotide in populations with small effective size and its impact on mapping and genomic predictions

Autor: Ignacy Misztal, Ivan Pocrnic, Daniela Lourenco

In animal populations, increasing the SNP density by incorporating sequence information only marginally increases prediction accuracies. To find out why, we used statistical models and simulations to investigate the profile or distribution of SNP aro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7dbc8ba00dfbcc5495804f142b4888a4
https://doi.org/10.1101/2023.02.16.528829

Novel combination of CRISPR-based gene drives eliminates resistance and localises spread

Autor: C. Bruce A. Whitelaw, Gregor Gorjanc, Nicky R. Faber, Gus R. McFarlane, R. Chris Gaynor, Ivan Pocrnic

Publikováno v: Scientific Reports, 11(1)
Scientific Reports 11 (2021) 1
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Faber, N, McFarlane, G, Gaynor, C, Pocrnic, I, Whitelaw, B & Gorjanc, G 2021, ' Novel combination of CRISPR-based gene drives eliminates resistance and localises spread ', Scientific Reports, vol. 11, 3719 . https://doi.org/10.1038/s41598-021-83239-4
Scientific Reports

Invasive species are among the major driving forces behind biodiversity loss. Gene drive technology may offer a humane, efficient and cost-effective method of control. For safe and effective deployment it is vital that a gene drive is both self-limit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f947fe53b05c817b137844a2756453af
https://research.wur.nl/en/publications/novel-combination-of-crispr-based-gene-drives-eliminates-resistan