ID

45685

Descrição

Principal Investigator: Stephen S. Rich, PhD, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA MeSH: Diabetes Mellitus, Type 1 https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001222 The Type 1 Diabetes Genetics Consortium (T1DGC) was established to collect resources (biological samples and data) and conduct research to better understand the genetic basis of type 1 diabetes (T1D). Collection was initiated by ascertaining affected sib-pair families (both parents, two affected siblings and, when available, an unaffected sibling), collected from five geographic regions through four recruitment networks (Asia-Pacific, Europe, North America, United Kingdom). In addition, the T1DGC collected trio families (both parents and affected child) and cases and controls from low-prevalence populations (African-American, with four grandparents self-reporting as African ancestry; Mexican-American, with four grandparents self-reporting as ancestry from Mexico). The T1DGC also served as a repository for contributed collections from other studies, all meeting the broad data-sharing policy of the T1DGC, for inclusion in the genetic studies. These collections include T1D case samples ascertained from the UK Genetic Resource Investigating Diabetes (UK GRID) cohort, SEARCH for Diabetes in Youth (SEARCH), The Genetics of Kidneys in Diabetes (GoKinD), and control samples obtained from the British 1958 Birth Cohort, the UK National Blood Services collection, CLEAR (Consortium for the Longitudinal Evaluation of African-Americans with Early Rheumatoid Arthritis), the New York Cancer Project (NYCP), and other cohorts. For the NHGRI-funded Centers for Common Disease Genomics (CCDG) project, participants with T1D and ancestry-matched controls were identified through the T1DGC, either through direct ascertainment or by contribution from other sources to the T1DGC. As the CCDG has focused initially on non-Caucasian populations for whole genome sequencing, T1DGC participants of African, Mexican and Asian ancestry (targeting ~1200 cases and ~1200 controls in each ancestral group) and a small group of participants of Northern European ancestry (~100 cases, ~100 controls) were to be contributed to the study. Whole genome sequencing of T1DGC samples would be conducted at Washington University McDonnell Genome Institute and based upon matching case-control status within an ancestry group and prioritization by the CCDG.

Link

dbGaP study = phs001222

Palavras-chave

  1. 02/05/2023 02/05/2023 - Simon Heim
Titular dos direitos

Stephen S. Rich, PhD, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA

Transferido a

2 de maio de 2023

DOI

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Licença

Creative Commons BY 4.0

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dbGaP phs001222 CCDG - Whole Genome Sequencing in Type 1 Diabetes (T1DGC)

The subject consent data table contains subject IDs, consent group information, and affection status for type 1 diabetes (T1D).

pht005907
Descrição

pht005907

Alias
UMLS CUI [1,1]
C3846158
De-identified subject ID
Descrição

SUBJID

Tipo de dados

string

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
Allowable research use
Descrição

CONSENT

Tipo de dados

text

Alias
UMLS CUI [1,1]
C0042153
UMLS CUI [1,2]
C0035168
Has subject been diagnosed with type 1 diabetes (T1D)
Descrição

AFFECTION_STATUS

Tipo de dados

boolean

Alias
UMLS CUI [1,1]
C0011854

Similar models

The subject consent data table contains subject IDs, consent group information, and affection status for type 1 diabetes (T1D).

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de dados
Alias
Item Group
pht005907
C3846158 (UMLS CUI [1,1])
SUBJID
Item
De-identified subject ID
string
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
Item
Allowable research use
text
C0042153 (UMLS CUI [1,1])
C0035168 (UMLS CUI [1,2])
Code List
Allowable research use
CL Item
Disease-Specific (Diabetes and Related Complications, IRB, NPU) (DS-DRC-IRB-NPU) (1)
AFFECTION_STATUS
Item
Has subject been diagnosed with type 1 diabetes (T1D)
boolean
C0011854 (UMLS CUI [1,1])

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