SNP genotyping of indigenous goats of Uganda based on the Goat_IGGC_65K_v2 illumina chip
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Uganda's indigenous goats are characterised based on ethnic communities that raise them, average mature weight, and hair coat characteristics. Uganda's indigenous goats have been genotyped based on the Goat_IGGC_65K_v2 illumina chip to study their population structure and genetic characteristics. Information generated from this data is vital for the sustainable utilisation, development, and conservation of Uganda's goat genetic resources., The data was collected from genomic DNA extracted from ear tissue samples of 1032 indigenous goats from different agro-ecological zones of Uganda. The study aimed to characterise the genetic diversity, population structure and signatures of selection of indigenous goats in different agroecological zones of Uganda. Indigenous goats were identified in their known phenotypic/ ethnic classifications of Mubende, Kigezi and Small East African goats in all the 10 agroecologies. Ear tissue samples were collected from each goat using the allflex tissue sampling system that allows for no cross contamination as each sample self locks in a single use tube after it is collected. Genomic DNA was extracted from each sample using the TANBEAD automated DNA extraction system with the 6T2 total tissue DNA extraction kit. DNA samples were genotyped based on the Goat_IGGC_65K_v2 illumina chip.Â
Data processing
After genotyping, 59725 SNPs from 1032 genotypes were received in PLINK format. The data was open..., , # SNP genotyping of indigenous goats of Uganda based on the Goat\_IGGC\_65K\_v2 illumina chip
[https://doi.org/10.5061/dryad.w0vt4b910](https://doi.org/10.5061/dryad.w0vt4b910)
## Description of the data and file structure
The data contains 1032 genotypes of indigenous goats from Uganda and 59725 SNPs in VCF format with identification codes for the individuals tagged to a common laboratory code within columns, and the SNPs are all labelled according to the ARS1 near complete goat genome
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## Code/Software
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创建时间:
2025-07-31



