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Table 1 Description of GWAS used in the meta-analysis

From: Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds

Acronym Country Breeds Sex Pheno GWAS impRef impSoft nIds nVar
AUSB Australia, New Zealand, the Netherlands Holstein, Jersey, Australian Red Bulls DYD GCTA 1000_Run6 Minimac3 11,923 15,474,359
AUSC Australia Holstein, Jersey, Australian Red Cows YD GCTA 1000_Run6 Minimac3 32,347 15,400,322
HOLF France Holstein Bulls DYD GCTA 1000_Run4 FImpute 6375 13,885,363
MON France Montbéliarde Bulls DYD GCTA 1000_Run4 FImpute 2588 14,409,070
NOR France Normande Bulls DYD GCTA 1000_Run4 FImpute 2319 13,937,693
NR Norway Norwegian Red Bulls, cows (D)YD GCTA within breed Minimac4 21,540 12,985,160
HOLG Germany Holstein Bulls EBV EMMAX 1000_Run4 Minimac3 8805 14,804,061
BRAU Switzerland Braunvieh Bulls EBV EMMAX 1000_Run5 Minimac3 1646 15,813,995
FLCK Germany/Austria Fleckvieh Bulls DYD EMMAX 1000_Run5 Minimac3 6778 17,042,717
Total         94,321 25,702,992
  1. Pheno: phenotypes used i.e. daughter yield deviations (DYD, bulls), yield deviations (YD, cows), estimated breeding values (EBV), GWAS: software used for GWAS, impRef: imputation reference, impSoft: imputation software; nIds: number of individuals; nVar: number of variants; nIds and nVar were the same except in Norwegian Red (21,550 individuals and 12,985,177 variants for protein content)
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Genetics Selection Evolution

ISSN: 1297-9686