This readme.txt file was generated on 2023-03-09 by Recommended citation for the data: Friedenberg, Steven; Clark, Leigh Anne; Murphy, Sarah; Greif, Elizabeth; Evans, Jacquelyn; Tsai, Kate. (2023). Whole Genome Imputation Panel of 624 Dogs. Retrieved from the Data Repository for the University of Minnesota. https://doi.org/10.13020/GKXV-GT86. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: Whole Genome Imputation Panel of 624 Dogs 2. Author Information Author Contact: Steven Friedenberg (fried255@umn.edu) Name: Steven Friedenberg Institution: University of Minnesota Email: fried255@umn.edu ORCID: Name: Leigh Anne Clark Institution: Email: ORCID: Name: Sarah Murphy Institution: Email: ORCID: Name: Elizabeth Greif Institution: Email: ORCID: Name: Jacquelyn Evans Institution: Email: ORCID: Name: Kate Tsai Institution: Email: ORCID: 3. Date published or finalized for release: 2023-03-09 4. Date of data collection (single date, range, approximate date): 2017-2022 5. Geographic location of data collection (where was data collected?): University of Minnesota 6. Information about funding sources that supported the collection of the data: Funding organizations include: American Kennel Club Canine Health Foundation, Morris Animal Foundation, Poodle Club of America Foundation, and National Institutes of Health 7. Overview of the data (abstract): This dataset contains a compressed variant call file (VCF) and index file of phased, bi-allelic, single nucleotide variants (SNVs) from 624 dogs of various breeds that were used as a reference panel for imputation of low-pass whole-genome sequencing from 83 Great Danes. Also included is an Excel file containing breed information for each of the 624 dogs. The file contains data for all 38 canine autosomes and the X chromosome. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal (http://creativecommons.org/publicdomain/zero/1.0/) 2. Links to publications that cite or use the data: Bell, Sarah M, Evans, Jacquelyn M, Greif, Elizabeth A, Tsai, Kate L, Friedenberg, Steven G, Clark, Leigh Anne. 2023. GWAS using low-pass whole genome sequence reveals a novel locus in canine congenital idiopathic megaesophagus. Mamm Genome. 34(3): 464-472. https://doi.org/10.1007/s00335-023-09991-2. 3. Was data derived from another source? No If yes, list source(s): 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- File List Filename: imputation_panel_metadata.xlsx Short description: metadata - breed information for each of the 624 dogs Filename: joint_genotype.canfam3.snps.phased.vcf.gz.tbi Short description: Variant call file (VCF) index file of phased, bi-allelic, single nucleotide variants (SNVs) from 624 dogs of various breeds that were used as a reference panel for imputation of low-pass whole-genome sequencing from 83 Great Danes Filename: joint_genotype.canfam3.snps.phased.vcf.gz Short description: Compressed variant call file (VCF) of phased, bi-allelic, single nucleotide variants (SNVs) from 624 dogs of various breeds that were used as a reference panel for imputation of low-pass whole-genome sequencing from 83 Great Danes -------------------------- METHODOLOGICAL INFORMATION -------------------------- See forthcoming publication for description of methods.