| QTL Map Information |
|---|
| Chromosome: | 9 |
| QTL Peak Location: | n/a |
| QTL Span: | n/a
80.5-80.5 (Mbp) |
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Upper, "Suggestive": | n/a |
| Upper, "Significant": | n/a |
| Peak: | |
| Lower, "Significant": | n/a |
| Lower, "Suggestive": | n/a |
| Marker type: | SNP |
| Analysis type: | Association |
| Model tested: | n/a |
| Test base: | Genome-wise |
| Threshold significance level: | Significant |
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P_values | <0.05 | | 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 Yorkshire and Landrace pigs. |
| Breeds associated:
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| Design: | Animals were genotyped using the KPS Porcine 60K SNP Chip, with data imputed to whole-genome level, and GWAS were performed for growth traits. |
| Analysis: | A mixed linear model, Bayesian model, and meta-analysis were used, including 1) linear model based on 60K chip data, 2) linear model based on imputed WGS data, 3) Bayesian model based on 60K chip data, and meta-analysis based on 60K chip data. |
| Software: | Vcftools, Beagle, GATK, GEMMA, METAL, GenSel, AIREMLF90, BLUPF90 |
| Notes: | |
| Links: | Edit |
| Reference |
|---|
| Authors: | Zhang R, Zhang Y, Liu T, Jiang B, Li Z, Qu Y, Chen Y, Li Z |
| Affiliation: | State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510006, China |
| Title: | Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic Selection for Growth Traits in Pigs |
| Journal: | Animals : an open access journal from MDPI, 2023, 13(4):722 |
| Links: |
PubMed | Abstract | List all data
| Edit |
| Additional Information |
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| Comments: | Based on imputed sequence data |
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