Validation of diacylglycerol O-acyltransferase1 gene effect on milk yield using Bayesian regression

Autor: Joon Ho Lee, Kyong-Do Park, Kwang-Hyun Cho, Chungil Cho
Rok vydání: 2015
Předmět:
Zdroj: Journal of the Korean Data and Information Science Society. 26:1249-1258
ISSN: 1598-9402
Popis: DGAT1(diacylglycerol O-acyltransferase1) gene is well known as a major gene of milk production in dairy cattle. This study was conducted to investigate how the DGAT1 gene effect on milk yield was appeared from the genome wide association (GWA) using high density whole genome SNP chip. The data set used in this study consisted of 353 Korean Holstein sires with 50k SNP genotypes and deregressed estimated breeding values of milk yield. After quality control 41,051 SNPs were selected and locations on chromosome were mapped using UMD 3.1. Bayesian regression of BayesB method (pi
Databáze: OpenAIRE