Cited by 93Genomic variations and chromosomal abnormalitiesGenomics and Rare DiseasesCongenital heart defects research

Chromosome microarray testing for patients with congenital heart defects reveals novel disease causing loci and high diagnostic yield

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Geng, Juan, Picker, Jonathan, Zheng, Zhaojing, Zhang, Xiaoqing, Wang, Jian, Hisama, Fuki, Brown, David W, Mullen, Mary P +7 more·2014·BMC Genomics

Abstract

BACKGROUND: Congenital heart defects (CHD), as the most common congenital anomaly, have been reported to be frequently associated with pathogenic copy number variants (CNVs). Currently, patients with CHD are routinely offered chromosomal microarray (CMA) testing, but the diagnostic yield of CMA on CHD patients has not been extensively evaluated based on a large patient cohort. In this study, we retrospectively assessed the detected CNVs in a total of 514 CHD cases (a 422-case clinical cohort from Boston Children's Hospital (BCH) and a 92-case research cohort from Shanghai Children's Medical Center (SCMC)) and conducted a genotype-phenotype analysis. Furthermore, genes encompassed in pathogenic/likely pathogenic CNVs were prioritized by integrating several tools and public data sources for novel CHD candidate gene identification. RESULTS: Based on the BCH cohort, the overall diagnostic yield of CMA testing for CHD patients was 12.8(pathogenic CNVs)-18.5% (pathogenic and likely pathogenic CNVs). The diagnostic yield of CMA for syndromic CHD was 14.1-20.6% (excluding aneuploidy cases), whereas the diagnostic yield for isolated CHD was 4.3-9.3%. Four recurrent genomic loci (4q terminal region, 15q11.2, 16p12.2 and Yp11.2) were more significantly enriched in cases than in controls. These regions are considered as novel CHD loci. We further identified 20 genes as the most likely novel CHD candidate genes through gene prioritization analysis. CONCLUSION: The high clinical diagnostic yield of CMA in this study provides supportive evidence for CMA as the first-line genetic diagnostic tool for CHD patients. The CNVs detected in our study suggest a number of CHD candidate genes that warrant further investigation.

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Authors
Geng, J., Picker, J., Zheng, Z., Zhang, X., Wang, J., Hisama, F., Brown, D. W., Mullen, M. P., Harris, D., Stoler, J., Seman, A., Miller, D. T., Fu, Q., Roberts, A. E., & Shen, Y.
Affiliations
  • Boston Children's Hospital (US)
  • Shanghai Jiao Tong University (CN)
Corresponding author
  • Fu, Qihua
  • Roberts, Amy E
  • Shen, Yiping
Venue
BMC Genomics
Published
2014-12
Volume
15
Issue
1
Pages
1127-1127
ISSN
1471-2164 (ISSN-L)
OpenAlex
W2140643766
Cited by
93
References
1
Citations by year
2026: 6 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 10 · 2021: 15 · 2020: 6 · 2019: 8 · 2018: 10 · 2017: 8 · 2016: 15 · 2015: 1
FWCI
5.25
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • BMC Genomics (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders
  • National Natural Science Foundation of China
  • Science and Technology Commission of Shanghai Municipality
  • Shanghai Municipal Health Bureau
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Congenital heart defects research
Keywords
congenital heart disease, copy number variation, diagnostic yield, isolated congenital heart defects, candidate gene identification, 15q11.2
MeSH terms
Adolescent, Child, Child, Preschool, Chromosome Aberrations, Chromosome Mapping, Female, Gene Frequency, Heart Defects, Congenital, Humans, Infant, Male, Phenotype, Quantitative Trait Loci, Comparative Genomic Hybridization, Genetic Association Studies, DNA Copy Number Variations

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