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

Table 1 Description of GWAS used in the meta-analysis

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

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)

ISSN: 1297-9686