ID

45474

Descripción

Principal Investigator: E. Ann Coleman, University of Arkansas for Medical Sciences Little Rock, Arkansas, USA MeSH: Multiple Myeloma https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000545 We hypothesized that genetic variability in the enzymes/proteins involved in drug metabolism, inflammation, and immune function is a major underlying contributor to mucositis incidence and progression and that, based on this variability we can identify variants that influence risk, and develop a mucositis progression prediction model that improves on existing models by incorporating genetic variability along with clinical factors. Using genome wide association study (GWAS) combined with a pathway candidate gene approach and a modified case-control study method, we investigated the hypothesis in a sample of 1092 patients who received a myeloablative dose of melphalan (MEL) followed by autologous hematopoietic stem cell (ASCT) transplantation as treatment for multiple myeloma and for whom banked blood stem cell samples and clinical data were available.

Link

dbGap study = phs000545

Palabras clave

  1. 31/10/22 31/10/22 - Simon Heim
  2. 13/12/22 13/12/22 - Kristina Keller
Titular de derechos de autor

E. Ann Coleman, University of Arkansas for Medical Sciences Little Rock, Arkansas, USA

Subido en

13 de diciembre de 2022

DOI

Para solicitar uno, por favor iniciar sesión.

Licencia

Creative Commons BY 4.0

Comentarios del modelo :

Puede comentar sobre el modelo de datos aquí. A través de las burbujas de diálogo en los grupos de elementos y elementos, puede agregar comentarios específicos.

Comentarios de grupo de elementos para :

Comentarios del elemento para :

Para descargar modelos de datos, debe haber iniciado sesión. Por favor iniciar sesión o Registrate gratis.

dbGaP phs000545 Predicting Chemotherapy-Induced Mucositis with Genetic and Clinical Factors

Subject ID, sample ID, sample source, sample source ID, and sample use variable associated with participants involved in the "Predicting Chemotherapy-Induced Mucositis with Genetic and Clinical Factors" project.

pht003763
Descripción

pht003763

Subject ID
Descripción

publicid

Tipo de datos

string

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

sampid

Tipo de datos

string

Alias
UMLS CUI [1,1]
C1299222
Source repository where samples originate
Descripción

samp_source

Tipo de datos

string

Alias
UMLS CUI [1,1]
C0449416
UMLS CUI [1,2]
C3847505
Sample ID used in the Source Repository
Descripción

source_sampid

Tipo de datos

string

Alias
UMLS CUI [1,1]
C2348585
UMLS CUI [1,2]
C0449416
UMLS CUI [1,3]
C3847505
Sample Use
Descripción

SAMPLE_USE

Tipo de datos

string

Alias
UMLS CUI [1,1]
C1524063
UMLS CUI [1,2]
C0370003

Similar models

Subject ID, sample ID, sample source, sample source ID, and sample use variable associated with participants involved in the "Predicting Chemotherapy-Induced Mucositis with Genetic and Clinical Factors" project.

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de datos
Alias
Item Group
pht003763
publicid
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
sampid
Item
Sample ID
string
C1299222 (UMLS CUI [1,1])
samp_source
Item
Source repository where samples originate
string
C0449416 (UMLS CUI [1,1])
C3847505 (UMLS CUI [1,2])
source_sampid
Item
Sample ID used in the Source Repository
string
C2348585 (UMLS CUI [1,1])
C0449416 (UMLS CUI [1,2])
C3847505 (UMLS CUI [1,3])
SAMPLE_USE
Item
Sample Use
string
C1524063 (UMLS CUI [1,1])
C0370003 (UMLS CUI [1,2])

Utilice este formulario para comentarios, preguntas y sugerencias.

Los campos marcados con * son obligatorios.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial