Pregled bibliografske jedinice broj: 1250678
Are autozygosity estimates from imputed genotypes reliable?
Are autozygosity estimates from imputed genotypes reliable? // Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Rotterdam, Nizozemska, 2022. str. 910-913 doi:10.3920/978-90-8686-940-4_214 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1250678 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Are autozygosity estimates from imputed genotypes
reliable?
Autori
Ferenčaković, Maja ; Curik, Ino ; Garcia, Jose Fernando ; Solkner, Johann ; Carvalheiro, Roberto
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
/ - , 2022, 910-913
Skup
12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Mjesto i datum
Rotterdam, Nizozemska, 03.07.2022. - 08.07.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Runs Of Homozygosity ; Imputed genotypes ; Inbreeding
Sažetak
Estimates of the inbreeding coefficient based on runs of homozygosity (FROH) are widely used in population genetics and livestock studies. The accuracy of FROH estimates is determined in part by the density of the genotyping chip. Compared with high density (HD) chips, low density (LD) chips tend to overestimate FROH in shorter homozygous segments. It is unclear whether imputation of genotypes from LD to HD would reduce or eliminate this overestimation. Our goal was to determine whether FROH calculations based on imputed LD genotypes are accurate. To this end, FROH estimates were determined for Nelore cows using HD or LD imputed genotypes (FROH_HD and FROH_LDimp). Our results showed that LD imputed genotypes reduced but did not eliminate differences between estimates. Differences were observed in both directions, with under- and overestimates of FROH. This suggests that imputation errors can either disrupt or generate homozygous segments.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Poljoprivreda (agronomija), Interdisciplinarne biotehničke znanosti
POVEZANOST RADA
Projekti:
IP-2018-01-8708 - Primjena NGS metoda u procjeni genomske varijabilnosti preživača (ANAGRAMS) (Čubrić Čurik, Vlatka, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Agronomski fakultet, Zagreb