ID
45505
Description
Principal Investigator: Aravinda Chakravarti, Johns Hopkins University, Baltimore, MD, USA MeSH: Disease, Hirschsprung,Megacolon, Congenital,Hirschsprung's Disease,Disease, Hirschsprung's,Hirschsprungs Disease,Congenital Megacolon,Aganglionosis, Colonic,Colonic Aganglionosis https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000497 Hirschsprung disease (HSCR) is a birth defect resulting from the absence of nerve (ganglion) cells in the gastrointestinal tract. Hirschsprung disease has a population incidence of 1/5,000 live births and most often occurs as an isolated condition. However, approximately 30% of HSCR cases are associated with other birth defects such as Down syndrome, deafness, hypopigmentation, and Congenital Central Hypoventilation syndrome (CCHS). Hirschsprung disease is a genetic condition with autosomal dominant, autosomal recessive, and multigenic patterns of inheritance described. The goal of the research study is to identify genes harboring causative HSCR mutations and to better understand the complex inheritance of HSCR in families using whole genome mapping and sequencing studies with functional follow-up of candidate genes and variants. We intend to ascertain the frequency with which mutations in any human gene lead to familial and isolated forms of HSCR. Clinical information is collected to allow investigation of possible genotype - phenotype correlations. The subject population consists of individuals diagnosed with HSCR and their unaffected relatives. Individuals/families are ascertained through support groups, web-based listings of research studies and genetic testing services, an educational study website, and referrals from genetic counselors and physicians. Blood, or tissue, samples are requested from affected individuals and their unaffected relatives.
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Versions (2)
- 02/11/2022 02/11/2022 - Tabea Kampen
- 13/12/2022 13/12/2022 - Kristina Keller
Détendeur de droits
Aravinda Chakravarti, Johns Hopkins University, Baltimore, MD, USA
Téléchargé le
13 décembre 2022
DOI
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Licence
Creative Commons BY 4.0
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dbGaP phs000497 Genetic Analysis of Hirschsprung Disease
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