ID
45959
Descripción
Principal Investigator: Michael Boehnke, University of Michigan, Ann Arbor, MI, USA MeSH: Diabetes Mellitus, Type 2 https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000867 The Finland-United States Investigation of NIDDM Genetics (FUSION) study is a long-term effort to identify genetic variants that predispose to type 2 diabetes (T2D) or that impact the variability of T2D-related quantitative traits. The initial effort involved linkage analysis of affected-sibling-pair (ASP) families based on over 5,000 individuals living in Finland, and association fine mapping based on these family members and additional T2D cases and controls. We completed a genome-wide association scan on 1161 T2D cases and 1174 normal glucose tolerant (NGT) controls. Individual-level data is available for the 919 T2D cases and 787 NGT controls who reconsented to the use of their data or are deceased (phs000100). In addition, we selected these 919 T2D cases and a matched set of 919 NGT controls (774 overlapping with GWAS) for targeted sequencing of 78 genes associated with glucose, insulin, and/or lipids. 400 of these T2D cases were also chosen for whole-exome sequencing (phs000702).
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Versiones (1)
- 16/3/24 16/3/24 - Madita Rudolph
Titular de derechos de autor
Michael Boehnke, University of Michigan, Ann Arbor, MI, USA
Subido en
16 de marzo de 2024
DOI
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Licencia
Creative Commons BY 4.0
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dbGaP phs000867 The Finland-United States Investigation of NIDDM Genetics (FUSION) Study
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- The dataset includes results of laboratory tests (e.g. blood glucose levels, insulin and lipid levels), blood pressure and body structure measurements (i.e. height, waist, hip, BMI), as well as general sociodemographic data (including age at diagnosis/measurements).
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Subject - Sample Mapping
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Sample Mapping
- Subject - Consent - Affection Status Information
- Subject - Sample Mapping
- The dataset includes results of laboratory tests (e.g. blood glucose levels, insulin and lipid levels), blood pressure and body structure measurements (i.e. height, waist, hip, BMI), as well as general sociodemographic data (including age at diagnosis/measurements).
- Sample - Attribute Information
- Subject - Sample Mapping
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