ID

45769

Description

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.

Link

dbGaP-study=phs001123

Keywords

  1. 6/19/23 6/19/23 - Chiara Middel
Copyright Holder

Kathleen C. Barnes, PhD, University of Colorado, Denver, CO, USA

Uploaded on

June 19, 2023

DOI

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License

Creative Commons BY 4.0

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dbGaP phs001123 Consortium on Asthma among African-ancestry Populations in the Americas

Eligibility Criteria

Inclusion and exclusion criteria
Description

Inclusion and exclusion criteria

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0680251
DNA samples of 1004 individuals of African ancestry were whole genome sequenced. These individuals were selected across North and South America, the Caribbean, and continental Africa, in order to represent a large spectrum of African ancestry. Investigators representing 87 samples from 2 populations (Salvador, Brazil-SCAALA and Pontificia Universidad Católica del Ecuador) requested data not to be shared in dbGaP due to regulatory constraints identified post sequencing.
Description

Elig.phs001123.v2.p1.1

Data type

boolean

Alias
UMLS CUI [1,1]
C1265611
UMLS CUI [1,2]
C0012854
UMLS CUI [1,3]
C0370003
UMLS CUI [1,4]
C0085756
UMLS CUI [1,5]
C3640076
UMLS CUI [2,1]
C0242802
UMLS CUI [2,2]
C0017446
UMLS CUI [2,3]
C0028405
UMLS CUI [2,4]
C0037713
UMLS CUI [2,5]
C0043122
UMLS CUI [2,6]
C0001737
UMLS CUI [2,7]
C1882932
UMLS CUI [2,8]
C0549177
UMLS CUI [2,9]
C2827424
UMLS CUI [2,10]
C0027567
UMLS CUI [2,11]
C3841890
UMLS CUI [3,1]
C1272683
UMLS CUI [3,2]
C1511726
UMLS CUI [3,3]
C0034037
UMLS CUI [3,4]
C1272696
UMLS CUI [3,5]
C0678226
UMLS CUI [3,6]
C0220905
UMLS CUI [3,7]
C3242057
UMLS CUI [3,8]
C0231290
UMLS CUI [3,9]
C1561491

Similar models

Eligibility Criteria

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
Inclusion and exclusion criteria
C1512693 (UMLS CUI [1,1])
C0680251 (UMLS CUI [1,2])
Elig.phs001123.v2.p1.1
Item
DNA samples of 1004 individuals of African ancestry were whole genome sequenced. These individuals were selected across North and South America, the Caribbean, and continental Africa, in order to represent a large spectrum of African ancestry. Investigators representing 87 samples from 2 populations (Salvador, Brazil-SCAALA and Pontificia Universidad Católica del Ecuador) requested data not to be shared in dbGaP due to regulatory constraints identified post sequencing.
boolean
C1265611 (UMLS CUI [1,1])
C0012854 (UMLS CUI [1,2])
C0370003 (UMLS CUI [1,3])
C0085756 (UMLS CUI [1,4])
C3640076 (UMLS CUI [1,5])
C0242802 (UMLS CUI [2,1])
C0017446 (UMLS CUI [2,2])
C0028405 (UMLS CUI [2,3])
C0037713 (UMLS CUI [2,4])
C0043122 (UMLS CUI [2,5])
C0001737 (UMLS CUI [2,6])
C1882932 (UMLS CUI [2,7])
C0549177 (UMLS CUI [2,8])
C2827424 (UMLS CUI [2,9])
C0027567 (UMLS CUI [2,10])
C3841890 (UMLS CUI [2,11])
C1272683 (UMLS CUI [3,1])
C1511726 (UMLS CUI [3,2])
C0034037 (UMLS CUI [3,3])
C1272696 (UMLS CUI [3,4])
C0678226 (UMLS CUI [3,5])
C0220905 (UMLS CUI [3,6])
C3242057 (UMLS CUI [3,7])
C0231290 (UMLS CUI [3,8])
C1561491 (UMLS CUI [3,9])

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