ID
45829
Descrizione
Principal Investigator: Carlos Bustamante, PhD, Stanford University, Stanford, CA, USA MeSH: Population https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001033 Stanford contributed samples to the PAGE study that can act as a population reference dataset across the globe. Therefore this dataset includes reference individuals, without phenotypes, chosen to help infer ancestry that will help us understand the diverse samples available in PAGE. The complete dataset comprises individuals of European, African, Asian, Oceanian, and Native American descent, from a total of over 50 populations. A subset of these individuals from Puno, Peru and Easter Island (Rapa Nui), Chile, are included in the PAGE samples that were whole genome sequenced in 2015. Additional details are available in the Study Acknowledgments. The Global Reference Panel comprises 6 sample sets:- A population sample of Andean individuals primarily of Quechuan/Aymaran ancestry from Puno, Peru - A population sample of Easter Island (Rapa Nui), Chile - Individuals of indigenous origin from Oaxaca, Mexico - Individuals of indigenous origin from Honduras - Individuals of indigenous origin from Colombia - Individuals of indigenous origin from the Nama and Khomani KhoeSan populations of the Northern Cape, South Africa In addition, we genotyped publicly available samples that will be hosted on the Bustamante lab website (https://bustamantelab.stanford.edu/). These comprise large public datasets to provide an open reference dataset for the world: - The additional related individuals from the Americas in the Human Genome Diversity Panel (H952) plus all additional samples from the Americas - A subset of the unrelated individuals from the Maasai in Kinyawa, Kenya (MKK) dataset from the International Hapmap Project hosted at Coriell Additional samples will be available for restricted use with a data access agreement with the Bustamante Lab. This study is part of the Population Architecture using Genomics and Epidemiology (PAGE) study (phs000356).
collegamento
Keywords
versioni (1)
- 31/07/23 31/07/23 - Simon Heim
Titolare del copyright
Carlos Bustamante, PhD, Stanford University, Stanford, CA, USA
Caricato su
31 luglio 2023
DOI
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Licenza
Creative Commons BY 4.0
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dbGaP phs001033 PAGE: Global Reference Panel
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, and subject aliases.
- This subject sample mapping data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use and sample aliases.
- This sample attributes table contains sample ID, body site where sample was collected, analyte type, tumor status, histological type, and name of the center which conducted sequencing.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, and subject aliases.
- This subject sample mapping data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use and sample aliases.
- This sample attributes table contains sample ID, body site where sample was collected, analyte type, tumor status, histological type, and name of the center which conducted sequencing.
C0680251 (UMLS CUI [1,2])
C0242802 (UMLS CUI [1,2])
C0241889 (UMLS CUI [1,3])
C1512704 (UMLS CUI [1,4])
C5447420 (UMLS CUI [1,5])
C0035182 (UMLS CUI [1,6])