Optimal Protocols and Management of Clinical and Genomic Data Collection to Assist in the Early Diagnosis and Treatment of Multiple Congenital Anomalies

Author:

Jo Heui Seung1,Yang Misun23ORCID,Ahn So Yoon23ORCID,Sung Se In23,Park Won Soon4,Jang Ja-Hyun5,Chang Yun Sil236ORCID

Affiliation:

1. Department of Pediatrics, Kangwon National University Hospital, Kangwon National University School of Medicine, Kangwon 24289, Republic of Korea

2. Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea

3. Cell and Gene Therapy Institute, Samsung Medical Center, Seoul 06351, Republic of Korea

4. Department of Pediatrics, CHA Gangnam Medical Center, CHA University, Seoul 06135, Republic of Korea

5. Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea

6. Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Republic of Korea

Abstract

Standardized protocols have been designed and developed specifically for clinical information collection and obtaining trio genomic information from infants affected with congenital anomalies (CA) and their parents, as well as securing human biological resources. The protocols include clinical and genomic information collection on multiple CA that were difficult to diagnose using pre-existing screening methods. We obtained human-derived resources and genomic information from 138 cases, including 45 families of infants with CA and their parent trios. For the clinical information collection protocol, criteria for target patient selection and a consent system for collecting and utilizing research resources are crucial. Whole genome sequencing data were generated for all participants, and standardized protocols were developed for resource collection and manufacturing. We recorded the phenotype information according to the Human Phenotype Ontology term, and epidemiological information was collected through an environmental factor questionnaire. Updating and recording of clinical symptoms and genetic information that have been newly added or changed over time are significant. The protocols enabled long-term tracking by including the growth and development status that reflect the important characteristics of newborns. Using these clinical and genetic information collection protocols for CA, an essential platform for early genetic diagnosis and diagnostic research can be established, and new genetic diagnostic guidelines can be presented in the near future.

Funder

Korea Disease Control and Prevention Agency

Publisher

MDPI AG

Subject

Pediatrics, Perinatology and Child Health

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