ID

45855

Beschrijving

Principal Investigator: John B. Harley, MD (Cytogenetics-Obesity, FSR, DSR, CLRR), National Institutes of Health, Bethesda, MD, USA MeSH: NA,Arthritis, Juvenile,Child Development Disorders, Pervasive,Cholangitis, Sclerosing,Developmental Disabilities,Eosinophilic Esophagitis,Hernia, Diaphragmatic,Infection,Lupus Erythematosus, Systemic,Neutropenia,Pediatric Obesity,Polymicrogyria,Rheumatic Diseases,Staphylococcus aureus https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001011 This submission includes genotyping or sequencing data from separate cohorts, each is described in separate paragraphs below. **Extreme early onset obesity** Obesity is a serious epidemic condition and on the rise in the United States. Today, nearly one out of three children is overweight or obese in this country. According to the Center for Disease Control, 35.7% of American adults and 17% of American children are obese. The medical costs associated with obesity are estimated to be in the billions. Without a doubt, interplay of additive genetic effects and common environmental effects influence this complex disease. However, despite being exposed to so-called "obesogenic environment", a large proportion of the population remains of normal weight. These observations suggest that innate, non-environmental, factors make some individuals more susceptible to obesity providing support for biological mechanisms, and thus genetic factors, to underlie the individual's response to the obesogenic environment. In young children with severe obesity the relative role of genetics and in utero programming are likely to outweigh the short duration of environmental and lifestyle exposures. This group is therefore an ideal one to study as they are likely enriched for variants that influence the risk of developing obesity. The purpose of this project is to further study and understand obesity in childhood and to develop a repository of samples for future studies into obesity. **Eosinophilic Esophagitis (EoE)** Eosinophilic Esophagitis (EoE) is one of the manifestations of eosinophilic gastrointestinal inflammation which have profound effects on a patient's health and development. Results of epidemiologic studies performed through our center demonstrate that eosinophil-associated gastrointestinal disease is not an uncommon entity. While the epidemiology of eosinophilic esophagitis has not been thoroughly studied until recently, there appears to be a significant increase in the diagnosis of EoE in the last decade. Based on our research, this mainly reflects increased disease recognition, but there is also a bona-fide increase in disease incidence which coincides with the increasing incidence of asthma and allergic diseases in the industrialized world. In addition, many patients with intractable symptoms thought in the past to represent atypical GERD or other disorders are now being recognized as having EoE. Diagnosis of EoE requires endoscopy and biopsies to document the characteristic histologic findings of esophageal eosinophilia. In general, this study proposed to elucidate the mechanisms underlying eosinophil growth, survival, migration, and function, and to investigate and further characterize the pathophysiology of, clinical manifestations of, and spectrum of disease severity of eosinophilic esophagitis in humans. The de-identified genotyping and genome wide association data generated as part of this research will be used for further genome research. **Familial Sample Repository (FSR) and Directed Sample Repository (DSR)** *De novo* mutations could cause many diseases, which has been demonstrated in mental retardation, autism and many rare genetic disorders. Family-based studies have a variety of advantages over case/control studies, including the elimination of analysis artifacts related to population stratification, the detection of genes that act through a recessive mechanism of inheritance and validation that the trait is not transmitted from a parent, something not possible using a case/control design. Additionally, DNA from families can be used to identify *de novo* mutations suggesting strong candidate causal polymorphisms. For this project, samples will be collected from families on an on-going basis. Families may be recruited because the patient either has a disease which is thought to be of genetic origin or from the general patient population to serve as controls or future identified diseases. Some phenotypes under study include fibroblastic rheumatism, diaphragmatic hernia, polymicrogyria, severe congenital neutropenia, primary sclerosing cholangitis and staph infection. **CLRR-Cincinnati Lupus Registry and Repository** Systemic lupus erythematosus (SLE) is a complex, partially understood autoimmune disorder. Genetic origins for SLE are supported by high heritability ( 66%), familial aggregation, increased monozygotic twin concordance, genetic linkages, and candidate gene genetic association, including HLA genes, Fc receptors, and complement components. Relevant environmental factors likely include infections (Epstein-Barr virus), therapeutics, personal habits (smoking), and diet. To continue a research resource facility for collection of well-characterized pedigrees containing a proband with systemic lupus erythematosus we develop this repository. **Juvenile Idiopathic Arthritis (JIA)** Juvenile Idiopathic Arthritis (JIA) is a debilitating complex genetic disorder characterized by inflammation of the joints and other tissues and shares histopathological features with other autoimmune diseases. It is considered complex genetic traits. There are more than 50,000 children with JIA in the USA, approximately 1 per 1000 births, which is about the same incidence as juvenile diabetes. It is believed that genes in the major histocompatibility complex (MHC) play a role in defining genetic risk, and it can be hypothesized that loci in other chromosomal regions are involved in conferring risk in JIA. These candidate chromosomal regions can be identified using genome-wide association analyses. The long-term goal is a comprehensive understanding of the genetic basis of these disabling arthropathies for which the molecular basis is not presently understood. These data will contribute to a national resource for the study of autoimmunity in children. **Better Outcomes for Children-Cytogenetics** Since 2007, more than 4000 samples, enriched with various rare or common genetic diseases as well as specific chromosomal abnormalities such as deletions and duplications have been genotyped for the purpose of subsequent GWAS and Phewas analyses and uncovering main genetic effects.

Link

dbGaP study = phs001011

Trefwoorden

  1. 02-10-23 02-10-23 - Simon Heim
Houder van rechten

John B. Harley, MD (Cytogenetics-Obesity, FSR, DSR, CLRR), National Institutes of Health, Bethesda, MD, USA

Geüploaded op

2 oktober 2023

DOI

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Licentie

Creative Commons BY 4.0

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dbGaP phs001011 CCHMC-eMERGE-Phase IIIA

This subject sample mapping data table includes a mapping of study subject IDs to sample IDs and sample aliases. 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. Also included are sample use and array/platform name.

pht005531
Beschrijving

pht005531

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

SUBJID

Datatype

string

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

SAMPID

Datatype

string

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

SAMPLE_USE

Datatype

text

Alias
UMLS CUI [1,1]
C2347026
UMLS CUI [1,2]
C1524063
Array-name
Beschrijving

Name

Datatype

text

Alias
UMLS CUI [1,1]
C1510941
UMLS CUI [1,2]
C0027365

Similar models

This subject sample mapping data table includes a mapping of study subject IDs to sample IDs and sample aliases. 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. Also included are sample use and array/platform name.

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
pht005531
C3846158 (UMLS CUI [1,1])
SUBJID
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
SAMPID
Item
Sample ID
string
C1299222 (UMLS CUI [1,1])
SAMPLE_USE
Item
Sample Use
text
C2347026 (UMLS CUI [1,1])
C1524063 (UMLS CUI [1,2])
Item
Array-name
text
C1510941 (UMLS CUI [1,1])
C0027365 (UMLS CUI [1,2])
Code List
Array-name
CL Item
Illumina-Infinium CytoSNP-850K (CYTO_850)
CL Item
Illumina-HumanCoreExome-12-V1 (Human_core)
CL Item
Illumina Hi-Seq whole exome sequencing (NGS)
C3640077 (UMLS CUI [1,1])
CL Item
Illumina-OMNI1 (OMNI1)
CL Item
Illumina-OMNI1; Illumina-HumanCoreExome-12-V1 (OMNI1, Human_core)

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