ID

45991

Description

Principal Investigator: Stephen S. Rich, PhD, University of Virginia, Charlottesville, VA, USA MeSH: Diabetes Mellitus, Type 1,Autoimmune Diseases,Autoantibodies https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000911 The Type 1 Diabetes Genetics Consortium (T1DGC) was formed to address issues of limited sample size and consistency of phenotyping that had limited genetic investigations on risk of type 1 diabetes (T1D). The T1DGC first collected affected sib pair (ASP) families from four geographic networks (Asia-Pacific, Europe, North America, United Kingdom). In addition, T1D cases and controls were ascertained from existing and de novo collections. The T1DGC assembled 2,601 T1D ASP families and 69 Parent-T1D offspring trios, T1D cases from the UK Genetic Resource Investigating Diabetes (UKGRID, N=6,670), and controls from the British 1958 Birth Cohort (B58BC, N=6,523), the UK National Blood Services collection (NBS, N=2,893) and the NIHR Cambridge Biomedical Research Centre BioResource (CBR, N=2,846). All samples included in this series have reported or self-declared European ancestry. All DNA samples were collected after approval from relevant institutional research ethics committees. Genotyping was performed using a custom Illumina Infinium high-density genotyping array, ImmunoChip (Illumina, Inc; CA) according to manufacturer's protocols. The ImmunoChip was designed to densely genotype, using 1000 Genomes and any other available disease specific resequencing data, immune-mediated disease loci identified by common variant GWAS. The ImmunoChip Consortium selected 186 distinct loci containing markers meeting genome wide significance criteria (P5x10-8) from twelve such diseases (autoimmune thyroid disease, ankylosing spondylitis, Crohn's disease, celiac disease, IgA deficiency, multiple sclerosis, primary biliary cirrhosis, psoriasis, rheumatoid arthritis, systemic lupus erythematosus, T1D and ulcerative colitis). All 1000 Genomes Project pilot phase CEU population variants (Sept 2009 release) within 0.1cM (HapMap3 CEU) recombination blocks around each GWAS region lead marker were submitted for array design. No filtering on correlated variants (linkage disequilibrium) was applied. Additional content included regional resequencing data (submitted by several groups) as well as a small proportion of investigator-specific undisclosed content including intermediate GWAS results. After data cleaning and quality control, a total of 154,939 single nucleotide polymorphisms (SNPs) from 186 loci on ImmunoChip were scored. Case-control and family data were analyzed independently and combined by meta-analysis.

Link

dbGaP study=phs000911

Keywords

  1. 4/11/24 4/11/24 - Madita Rudolph
Copyright Holder

Stephen S. Rich, PhD, University of Virginia, Charlottesville, VA, USA

Uploaded on

April 11, 2024

DOI

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License

Creative Commons BY 4.0

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dbGaP phs000911 Type 1 Diabetes Genetics Consortium (T1DGC): ImmunoChip Study

This subject sample mapping data table includes a mapping of study subject IDs to sample IDs, both of which are T1DGC Analytic 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.

pht004977
Description

pht004977

Alias
UMLS CUI [1,1]
C3846158
Subject ID (T1DGC Analytic ID)
Description

SUBJECT_ID

Data type

string

Alias
UMLS CUI [1,1]
C2348585
Sample ID (T1DGC Analytic ID)
Description

SAMPLE_ID

Data type

string

Alias
UMLS CUI [1,1]
C2348585
Sample Use
Description

SAMPLE_USE

Data type

text

Alias
UMLS CUI [1,1]
C2347026
UMLS CUI [1,2]
C1524063

Similar models

This subject sample mapping data table includes a mapping of study subject IDs to sample IDs, both of which are T1DGC Analytic 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.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht004977
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
Subject ID (T1DGC Analytic ID)
string
C2348585 (UMLS CUI [1,1])
SAMPLE_ID
Item
Sample ID (T1DGC Analytic ID)
string
C2348585 (UMLS CUI [1,1])
Item
Sample Use
text
C2347026 (UMLS CUI [1,1])
C1524063 (UMLS CUI [1,2])
Code List
Sample Use
CL Item
SNP genotypes obtained using standard or custom microarrays (Array_SNP)
C2347026 (UMLS CUI [1,1])
C0042153 (UMLS CUI [1,2])
C0752046 (UMLS CUI [1,3])
C1449575 (UMLS CUI [1,4])

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