ID
45769
Beschrijving
Principal Investigator: Kathleen C. Barnes, PhD, University of Colorado, Denver, CO, USA MeSH: Asthma https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001123 Asthma is a complex disease where the interplay between genetic factors and environmental exposures influences susceptibility and disease prognosis. Asthmatics of African descent tend to have more severe asthma and more severe clinical symptoms than individuals of European ancestry. Advances in genetic and genomic technologies have revolutionized gene discovery for several complex diseases, but going to the next step in gene discovery for asthma among populations of African descent requires considering unique characteristics of this ethnic group, including adequate sample sizes and population stratification due to (European and African) admixture. Thus far, coverage of common genetic markers both in public databases and commercially available SNP chips has been inadequate to detect and measure genetic associations among African admixed populations. The aim of this study was therefore to catalog genetic diversity in populations of African descent, especially those whose ancestry reflects the African Diaspora in the Americas.
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- 19-06-23 19-06-23 - Chiara Middel
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Kathleen C. Barnes, PhD, University of Colorado, Denver, CO, USA
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19 juni 2023
DOI
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Creative Commons BY 4.0
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dbGaP phs001123 Consortium on Asthma among African-ancestry Populations in the Americas
The subject consent file includes subject IDs and consent information.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs and consent information.
- This 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.
- This subject phenotype table contains subject ID, sex, ethnicity, cohort, affection status of the subject for Asthma, age, age onset, and genotyping platform for the sample.
- This sample attributes table contains sample ID, analyte type, body site, and names of the center which conducted genotyping or sequencing.
- The subject pedigree table contains family ID, subject ID, father ID, mother ID, and sex.
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The subject consent file includes subject IDs and consent information.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs and consent information.
- This 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.
- This subject phenotype table contains subject ID, sex, ethnicity, cohort, affection status of the subject for Asthma, age, age onset, and genotyping platform for the sample.
- This sample attributes table contains sample ID, analyte type, body site, and names of the center which conducted genotyping or sequencing.
- The subject pedigree table contains family ID, subject ID, father ID, mother ID, and sex.
C0441833 (UMLS CUI [1,2])
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C0009797 (UMLS CUI [1,3])
C0205257 (UMLS CUI [1,4])
C2700399 (UMLS CUI [1,5])
C0030761 (UMLS CUI [1,6])
C5418626 (UMLS CUI [2,1])
C0549184 (UMLS CUI [2,2])
C0009797 (UMLS CUI [2,3])
C0205257 (UMLS CUI [2,4])
C2700399 (UMLS CUI [2,5])
C0017431 (UMLS CUI [2,6])
C4553389 (UMLS CUI [2,7])
C0242481 (UMLS CUI [1,2])
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