TY - JOUR
T1 - Genetic parameters and genome-wide association study of digital cushion thickness in Holstein cows
AU - Barden, Matthew
AU - Li, Bingjie
AU - Griffiths, Bethany E
AU - Anagnostopoulos, Alkiviadis
AU - Bedford, Cherry
AU - Psifidi, Androniki
AU - Banos, Georgios
AU - Oikonomou, Georgios
N1 - Funding Information:
This study was part of a wider project funded by the UK Biotechnology and Biological Sciences Research Council (BBSRC; Swindon, UK; Council References: BB/S002960/1, BB/S002944/1, BB/S003614/1), and constitutes part of a PhD funded by the School of Veterinary Science, University of Liverpool. Mollie Rudd, Amy Russon, Kerry Long, Theologia Menka, Konstantinos Georgakoudis, Konstantina Kasiora, Charlotte Smith, Aiglyne Chaperone, Ioanna Soumtaki, and all farm staff are gratefully acknowledged for assisting data collection. Staff at EGENES (Edinburgh Genetic Evaluation Services, SRUC) are gratefully acknowledged for providing imputed genotypes. Finally, the authors thank the reviewers for their insightful and constructive comments. The authors have not stated any conflicts of interest.
Publisher Copyright:
© 2022 American Dairy Science Association
PY - 2022/10
Y1 - 2022/10
N2 - The digital cushion is linked to the development of claw horn lesions (CHL) in dairy cattle. The objectives of this study were to (1) estimate genetic parameters for digital cushion thickness (DCT), (2) estimate the genetic correlation between DCT and CHL, and (3) identify candidate genes associated with DCT. A cohort of 2,352 Holstein dairy cows were prospectively enrolled on 4 farms and assessed at 4 time points: before calving, immediately after calving, in early lactation, and in late lactation. At each time point, CHL was recorded by veterinary surgeons, and ultrasonographic images of the digital cushion were stored and retrospectively measured at 2 anatomical locations. Animals were genotyped and pedigree details extracted from the national database. Genetic parameters were estimated following a single-step approach implemented in AIREMLF90. Four traits were analyzed: the 2 DCT measurements, sole lesions (sole hemorrhage and sole ulcers), and white line lesions. All traits were analyzed with univariate linear mixed models; bivariate models were fit to estimate the genetic correlation between traits within and between time points. Single-marker and window-based genome-wide association analyses of DCT traits were conducted at each time point; candidate genes were mapped near (<0.2 Mb) or within the genomic markers or windows with the largest effects. Heritability estimates of DCT ranged from 0.14 to 0.44 depending on the location of DCT measurement and assessment time point. The genetic correlation between DCT and sole lesions was generally negative, notably between DCT immediately after calving and sole lesions in early or late lactation, and between DCT in early or late lactation and sole lesion severity in early or late lactation. Digital cushion thickness was not genetically correlated with white line lesions. A polygenic background to DCT was found; genes associated with inflammation, fat metabolism, and bone development were mapped near or within the top markers and windows. The moderate heritability of DCT provides an opportunity to use selective breeding to change DCT in a population. The negative genetic correlation between DCT and sole lesions at different stages of production lends support to current hypotheses of sole lesion pathogenesis. Highlighted candidate genes provide information regarding the complex genetic background of DCT in Holstein cows, but further studies are needed to explore and corroborate these findings.
AB - The digital cushion is linked to the development of claw horn lesions (CHL) in dairy cattle. The objectives of this study were to (1) estimate genetic parameters for digital cushion thickness (DCT), (2) estimate the genetic correlation between DCT and CHL, and (3) identify candidate genes associated with DCT. A cohort of 2,352 Holstein dairy cows were prospectively enrolled on 4 farms and assessed at 4 time points: before calving, immediately after calving, in early lactation, and in late lactation. At each time point, CHL was recorded by veterinary surgeons, and ultrasonographic images of the digital cushion were stored and retrospectively measured at 2 anatomical locations. Animals were genotyped and pedigree details extracted from the national database. Genetic parameters were estimated following a single-step approach implemented in AIREMLF90. Four traits were analyzed: the 2 DCT measurements, sole lesions (sole hemorrhage and sole ulcers), and white line lesions. All traits were analyzed with univariate linear mixed models; bivariate models were fit to estimate the genetic correlation between traits within and between time points. Single-marker and window-based genome-wide association analyses of DCT traits were conducted at each time point; candidate genes were mapped near (<0.2 Mb) or within the genomic markers or windows with the largest effects. Heritability estimates of DCT ranged from 0.14 to 0.44 depending on the location of DCT measurement and assessment time point. The genetic correlation between DCT and sole lesions was generally negative, notably between DCT immediately after calving and sole lesions in early or late lactation, and between DCT in early or late lactation and sole lesion severity in early or late lactation. Digital cushion thickness was not genetically correlated with white line lesions. A polygenic background to DCT was found; genes associated with inflammation, fat metabolism, and bone development were mapped near or within the top markers and windows. The moderate heritability of DCT provides an opportunity to use selective breeding to change DCT in a population. The negative genetic correlation between DCT and sole lesions at different stages of production lends support to current hypotheses of sole lesion pathogenesis. Highlighted candidate genes provide information regarding the complex genetic background of DCT in Holstein cows, but further studies are needed to explore and corroborate these findings.
KW - dairy cattle
KW - digital cushion
KW - genome-wide association study
KW - lameness
U2 - 10.3168/jds.2022-22035
DO - 10.3168/jds.2022-22035
M3 - Article
C2 - 36028347
SN - 0022-0302
VL - 105
SP - 8237
EP - 8256
JO - Journal of Dairy Science
JF - Journal of Dairy Science
IS - 10
ER -