Genetics of Congenital Heart Disease
Congenital heart disease (CHD) is the most common type of birth defect but the cause for the majority of cardiac birth defects remains unknown. Numerous epidemiologic studies have demonstrated evidence that genetic factors likely play a contributory, if not causative, role in CHD. A few genes have been identified by us and other investigators using traditional genetic approaches, but these genes only account for a small portion of the non-syndromic CHDs. Therefore, we are now utilizing whole exome sequencing (WES), with the addition of more traditional genetic techniques such as chromosomal microarray or traditional linkage analysis, to identify genetic causes of familial and isolated CHD. With WES we are able to sequence all of the genes of an individual and apply different data analysis techniques based on whether we are analyzing a multiplex family or a cohort of trios (mother, father and child with CHD) with a specific isolated CHD. Therefore, WES is a robust method for identification of novel genetic causes of CHD which will have important diagnostic and therapeutic consequences for these children.
|Study Design:||Observational Model: Family-Based
Time Perspective: Prospective
|Official Title:||Genetics Testing of Individuals and Families With Congenital Heart Disease|
- Identification of novel genetic contributors to congenital heart defects [ Time Frame: up to 3 years, from date of genetic analysis to completion of genetic data analysis or identification of novel genetic contributors, whichever comes first ] [ Designated as safety issue: No ]Novel genetic abnormalities that are found to be associated with congenital heart defects in humans
Biospecimen Retention: Samples With DNA
Blood samples will be collected in vacuum tubes containing acid citrate dextrose (ACD). Lymphocytes from blood drawn in appropriate anticoagulant (ACD) may be stored for subsequent immortalization. DNA will be extracted from these samples for analysis.
|Study Start Date:||December 2009|
|Estimated Study Completion Date:||December 2025|
|Estimated Primary Completion Date:||December 2025 (Final data collection date for primary outcome measure)|
Individuals with Congenital Heart Disease and family members with or without Congenital Heart Disease. A blood sample collection will be required for all study participants.
Other: Blood Sample Collection
Blood sample collection for direct sequencing, microarray, single nucleotide polymorphism, whole-genome array comparative genomic hybridization DNA analyses, and/or whole exome sequencing.
Congenital heart disease (CHD) is the most common type of birth defect, but the etiology of CHD remains largely unknown. Genetic causes have been discovered for both syndromic and non-syndromic CHD utilizing several genetic approaches (Garg, 2006). The majority of these genetic causes have found by studying large families with autosomal dominant congenital heart disease and my laboratory has successfully used this methodology in the past (Garg, 2003; Garg 2005; Pan, 2009). Although these positional cloning approaches are very powerful, they are limited by rare nature of multi-generation pedigrees and are limited to milder forms of CHD that have allowed for the generation of large kindreds.
The other method that has traditionally been utilized to identify genetic causes of CHD is the screening of large populations of children with sporadic (non-familial) cases of CHD for genetic abnormalities (nucleotide sequence variations in candidate genes for CHD or for chromosomal copy number changes that involve CHD-candidate genes. This work has been tedious as a large number of candidate genes have been implicated as potentially responsible for CHD in humans (Srivastava and Olson, 2000). Although this approach has been successful (Schluterman, 2007; Rajagopal, 2007; Tomita-Mitchell, 2007; Richards, 2008; Ransom, 2009), it is also limited to the candidate gene lists.
Whole exome sequencing (WES) is a recently developed massively multiplexed sequencing technology that allows for the sequencing of all of the expressed genes. Therefore, this method can be applied to multiplex families and cohorts of sporadic cases to identify genetic causes of CHD in an unbiased manner. WES is dependent on the technical and bioinformatics prowess of the personnel running the WES and the controlling the data pipeline. At Nationwide Children's Hospital (NCH), our Biomedical Genomics Core is both technically skilled and have developed their own powerful datapipeline (Kelly, 2015). As other groups have successfully implemented WES into their CHD gene discovery toolkit (Zaidi, 2013; El Turki, 2014)), we expect to do the same. WES is powerful genetic tool that can be used in isolation or in conjunction with other types of genetic analysis (i.e. array comparative genomic hybridization, single nucleotide polymorphisms (SNP) arrays, traditional linkage analysis) to increase the yield of these investigations.
Please refer to this study by its ClinicalTrials.gov identifier: NCT01192048
|Contact: Vidu Garg, MDfirstname.lastname@example.org|
|United States, Ohio|
|Nationwide Children's Hospital||Recruiting|
|Columbus, Ohio, United States, 43205|
|Principal Investigator: Vidu Garg, MD|
|Principal Investigator:||Vidu Garg, MD||The Research Institute at Nationwide Children's Hospital|