| QTL Map Information |
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| Chromosome: | 14 |
| QTL Peak Location: | 90.78 (cM) |
| QTL Span: | 90.78-90.78 (cM)
67.6-67.6 (Mbp) |
 |
Upper, "Suggestive": | n/a |
| Upper, "Significant": | n/a |
| Peak: | rs41605240 |
| Lower, "Significant": | n/a |
| Lower, "Suggestive": | n/a |
| Marker type: | SNP |
| Analysis type: | Association |
| Model tested: | Mendelian |
| Test base: | Genome-wise |
| Threshold significance level: | Significant |
 |
P_values | <0.05 | | Dominance effect: | n/a |
| Additive effect: | n/a |
| Associated Gene: | SDC2 (syndecan 2) |
| Cis/Trans acting type: |  |
| Links:
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| Extended information: |
|---|
| (none) |
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| QTL Experiment in Brief |
|---|
| Animals: | Animals were Chinese Holstein cattle. |
| Breeds associated:
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| Design: | Animals were genotyped using the GeneSeek Genomic Profiler HD Illumina BovineSNP50 (with data imputed to HD) and analyzed for first-parity milk yield, milk fat percentage, and milk protein percentage. A total of 71,624 SNPs were used for analysis. |
| Analysis: | Random regression-based models were developed for functional GWAS on longitudinal traits. |
| Software: | |
| Notes: | |
| Links: | Edit |
| Reference |
|---|
| Authors: | Ning C, Kang H, Zhou L, Wang D, Wang H, Wang A, Fu J, Zhang S, Liu J |
| Affiliation: | National Engineering Laboratory for Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture; College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China |
| Title: | Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects |
| Journal: | Scientific reports, 2018, 7(1): 590 |
| Links: |
PubMed | Abstract | List all data
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