| QTL Map Information |
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| Chromosome: | 1 |
| QTL Peak Location: | n/a |
| QTL Span: | n/a
148.8-148.8 (Mbp) |
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Upper, "Suggestive": | n/a |
| Upper, "Significant": | rs378582485 |
| Peak: | rs382169679 |
| Lower, "Significant": | rs382506185 |
| Lower, "Suggestive": | n/a |
| Marker type: | SNP |
| Analysis type: | QTL |
| Model tested: | n/a |
| Test base: | Comparison-wise |
| Threshold significance level: | Significant |
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P_values | 8.2E-10 | | Dominance effect: | n/a |
| Additive effect: | n/a |
| Associated Gene: | n/a |
| Cis/Trans acting type: |  |
| Links:
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| Extended information: |
|---|
| (none) |
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| QTL Experiment in Brief |
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| Animals: | Animals were dairy cows in Australia and New Zealand. The majority of Australian cows were Holsteins, while the majority of New Zealand cows were crossbreds. |
| Breeds associated:
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| Design: | Animals were genotyped using a variety of SNP arrays, with data imputed to whole-genome sequence, and GWAS was performed for milk urea nitrogen concentration. A total of 16,824,460 variants were used for GWAS. |
| Analysis: | Within-country GWAS were carried out using GCTA. Phenotypes used for the GWAS were pre-corrected using fixed effects and covariates (test month, herdyear- season, days in milk, age, and PC1), and a genomic relationship matrix based on the HD genotypes was fitted to account for family structure. Meta-analysis for all data was done using a weighted Z-score model in METAL. |
| Software: | FImpute v.3, Minimac4, Eagle v.2.4.1, Beagle v4.1, GCTA, METAL |
| Notes: | |
| Links: | Edit |
| Reference |
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| Authors: | van den Berg I, Ho PN, Nguyen TV, Haile-Mariam M, MacLeod IM, Beatson PR, O'Connor E, Pryce JE |
| Affiliation: | Centre for AgriBioscience, Agriculture Victoria, 5 Ring Road, Bundoora, AgriBioVIC, 3083, Australia |
| Title: | GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle |
| Journal: | Genetics, Selection, Evolution : GSE, 2022, 54(1): 15 |
| Links: |
PubMed | Abstract | List all data
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| Additional Information |
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| Comments: | meta-analysis |
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