<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>138(6)</volume><submitter>Kulkarni PS</submitter><pubmed_abstract>The purpose of this study was to investigate the origin of the genetic variation in the prevalence of bovine digital dermatitis (DD) by comparing a genetic analysis of infection events to a genetic analysis of disease status. DD is an important endemic infectious disease affecting the claws of cattle. For disease status, we analysed binary data on individual disease status (0,1; indicating being free versus infected), whereas for infections, we analysed binary data on disease transmission events (1,0; indicating becoming infected or not). The analyses of the two traits were compared using cross-validation. The analysis of disease status captures a combination of genetic variation in disease susceptibility and the ability of individuals to recover, whereas the analysis of infections capture</pubmed_abstract><journal>Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie</journal><pagination>629-642</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8518086</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>On the origin of the genetic variation in infectious disease prevalence: Genetic analysis of disease status versus infections for Digital Dermatitis in Dutch dairy cattle.</pubmed_title><pmcid>PMC8518086</pmcid><pubmed_authors>Bijma P</pubmed_authors><pubmed_authors>de Jong MCM</pubmed_authors><pubmed_authors>Biemans F</pubmed_authors><pubmed_authors>Kulkarni PS</pubmed_authors></additional><is_claimable>false</is_claimable><name>On the origin of the genetic variation in infectious disease prevalence: Genetic analysis of disease status versus infections for Digital Dermatitis in Dutch dairy cattle.</name><description>The purpose of this study was to investigate the origin of the genetic variation in the prevalence of bovine digital dermatitis (DD) by comparing a genetic analysis of infection events to a genetic analysis of disease status. DD is an important endemic infectious disease affecting the claws of cattle. For disease status, we analysed binary data on individual disease status (0,1; indicating being free versus infected), whereas for infections, we analysed binary data on disease transmission events (1,0; indicating becoming infected or not). The analyses of the two traits were compared using cross-validation. The analysis of disease status captures a combination of genetic variation in disease susceptibility and the ability of individuals to recover, whereas the analysis of infections capture</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Nov</publication><modification>2025-04-21T17:16:24.809Z</modification><creation>2024-11-12T00:48:23.369Z</creation></dates><accession>S-EPMC8518086</accession><cross_references><pubmed>34105197</pubmed><doi>10.1111/jbg.12635</doi></cross_references></HashMap>