ID

45639

Description

Principal Investigator: Daniel J. Rader, MD, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA MeSH: Lipids,Cholesterol,Cholesterol, LDL,Cholesterol, HDL,Triglycerides,Dyslipidemias https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001341 The goal of the PhLiPS study is to create a library of induced pluripotent stem cell (iPSC) lines and iPSC-derived hepatocytes of diverse genotypes for use in metabolic profiling and interrogating lipid phenotypes. These cell lines were created as a part of the Next Generation Genetic Association Studies (Next Gen) Program, which was a five-year, $80 million program to investigate functional genetic variation in humans by assessing cellular profiles that are surrogates for disease phenotypes. To achieve this, researchers from multiple institutions across the U.S. were awarded grants to derive iPSC lines from more than 1,500 individuals representing various conditions as well as healthy controls for use in functional genomic ("disease in a dish") research. This extensive panel includes a diverse set of age, gender, and ethnic backgrounds, and therefore will be an invaluable tool for evaluations across demographics. Further enhancing the utility of these cell lines are data sets such as phenotyping, GWAS, genome sequencing, gene expression and -omics analyses (e.g., lipidomic, proteomic, methylomic) that can be matched to the cell lines. The PhLiPS Study focuses on individuals free of cardiovascular disease or with lipoprotein metabolism disorders in the community served by the Hospital of the University of Pennsylvania.

Lien

dbGaP-study=phs001341

Mots-clés

  1. 11/03/2023 11/03/2023 - Chiara Middel
Détendeur de droits

Daniel J. Rader, MD, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

Téléchargé le

11 mars 2023

DOI

Pour une demande vous connecter.

Licence

Creative Commons BY 4.0

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dbGaP phs001341 NextGen Consortium: iPS Derived Hepatocytes Study (PhLiPS Study)

This subject sample mapping data table includes a mapping of study patient 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. The data table also includes sample use.

pht006245
Description

pht006245

Alias
UMLS CUI [1,1]
C3846158
Subject ID
Description

SUBJECT_ID

Type de données

string

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

SAMPLE_ID

Type de données

string

Alias
UMLS CUI [1,1]
C1299222
Sample Use
Description

SAMPLE_USE

Type de données

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 patient 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. The data table also includes sample use.

Name
Type
Description | Question | Decode (Coded Value)
Type de données
Alias
Item Group
pht006245
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
SAMPLE_ID
Item
Sample ID
string
C1299222 (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])
CL Item
Whole transcriptome sequencing (Seq_RNA)
C4086963 (UMLS CUI [1,1])

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