ID
45374
Beskrivning
Principal Investigator: Hakon Hakonarson, MD, PhD, Center for Applied Genomics, Children's Hospital of Philadelphia, Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA MeSH: Asthma,Attention Deficit Disorder with Hyperactivity,Dermatitis, Atopic,Gastroesophageal Reflux,Lipoproteins, LDL https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000490 The Center for Applied Genomics (CAG) at the Children's Hospital of Philadelphia (CHOP) is a high-throughput, highly automated genotyping and sequencing facility equipped with state-of-the-art genotyping and sequencing platforms. Children who are treated at the Children's Hospital Healthcare Network and their parents may be eligible to take part in a major initiative to collect more than 100,000 blood samples, covering a wide range of pediatric diseases. A large majority of participants consenting to prospective genomic analyses also consent to analysis of their de-identified electronic medical records (EMRs). EMRs are longitudinal, with a mean duration of 6.5 years. CAG has committed to releasing genotype and phenotype data for 4000 individuals diagnosed with *asthma*, *ADHD*, *atopic dermatitis*, *GERD* (1000 for each), and 1000 individuals on the upper and lower ranges of *Low-Density Lipoprotein* (LDL) levels to dbGaP. We will also release genotype/phenotype of 3000 controls. Relevant phenotype data includes primary diagnoses (ICD9 codes), secondary diagnoses (ICD9 codes), medical procedures/tests conducted in relation to the phenotype, and a listing of relevant medications. Further details of CAG's research programs and capacity are available at: http://www.caglab.org
Länk
Nyckelord
Versioner (1)
- 2022-11-04 2022-11-04 - Chiara Middel
Rättsinnehavare
Hakon Hakonarson, MD, PhD, Center for Applied Genomics, Children's Hospital of Philadelphia, Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
Uppladdad den
4 november 2022
DOI
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Licens
Creative Commons BY 4.0
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dbGaP phs000490 A Study of the Genetic Causes of Complex Pediatric Disorders
Subject - Sample Mapping
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status
- Pedigree Information
- Subject - Sample Mapping
- This dataset includes ICD9 codes of participants diagnosed with Asthma, type of medication prescribed, medical history, and basic demographic data.
- This dataset includes ICD9 codes of participants diagnosed with Atopic Dermatitis (AD), AD procedure codes, medication prescribed, and basic demographic data.
- This dataset includes ICD9 codes of participants regarded as control subjects, medication prescribed, and basic demographic data.
- This dataset includes ICD9 codes of participants diagnosed with Gastroesophageal Reflux Disease (GERD), procedures performed, medication prescribed, and basic demographic data.
- This dataset includes ICD9 codes of participants diagnosed with ADHD (primary/secondary diagnoses), medication prescribed and basic demographic data.
- This dataset includes ICD9 codes of primary/secondary diagnoses of participants diagnosed with high or low Low-Density Lipoprotein levels, lipid procedure codes, data of lipid values and basic demographic data.
Similar models
Subject - Sample Mapping
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status
- Pedigree Information
- Subject - Sample Mapping
- This dataset includes ICD9 codes of participants diagnosed with Asthma, type of medication prescribed, medical history, and basic demographic data.
- This dataset includes ICD9 codes of participants diagnosed with Atopic Dermatitis (AD), AD procedure codes, medication prescribed, and basic demographic data.
- This dataset includes ICD9 codes of participants regarded as control subjects, medication prescribed, and basic demographic data.
- This dataset includes ICD9 codes of participants diagnosed with Gastroesophageal Reflux Disease (GERD), procedures performed, medication prescribed, and basic demographic data.
- This dataset includes ICD9 codes of participants diagnosed with ADHD (primary/secondary diagnoses), medication prescribed and basic demographic data.
- This dataset includes ICD9 codes of primary/secondary diagnoses of participants diagnosed with high or low Low-Density Lipoprotein levels, lipid procedure codes, data of lipid values and basic demographic data.
C0012854 (UMLS CUI [1,2])
C2347026 (UMLS CUI [1,2])