Supplementary Material for: Cytogenomic Characterization of a Novel de novo Balanced Reciprocal Translocation t(1;12) by Genome Sequencing Leading to Fusion Gene Formation of <b><i>EYA3/EFCAB4b</i></b>

U.R., Dutta;A., Bhattacherjee;A., Bahal;L.P., Posanapally;K.A., Lone;S., Bathula;A., Dalal

Description

Introduction: The accurate detection of breakpoint regions of disease-associated chromosomal rearrangements helps understand the molecular mechanisms and identify the risks involved with disrupted genes. Methods: In this study, a girl with growth retardation is characterized using positional cloning and genome sequencing. The techniques include fluorescence in situ hybridization (FISH) with paint (WCP) and bacterial-artificial chromosomes (BAC) probes, PCR, real-time PCR, and short and long-read sequencing. Results: The translocation was identified by GTG banding and confirmed by WCP FISH. Microarray ruled out the involvement of other copy number variations except for 6 homozygous regions which are not disease-causing variants. Fine mapping with FISH showed split signals with BAC clone RP11-312A3. Genome sequencing of short-read with an average 30× depth and long-read sequencing technology with a 3.8× coverage identified both breakpoints, confirmed by Sanger sequencing, that showed microhomology. The breakpoint at 1p and 12p regions disrupted EYA3 and EFCAB4B genes. Expression analysis of EYA3 showed a 7-fold increase, suggesting the formation of a fusion gene with EFCAB4B. EYA3 is involved in skeleton development, and EFCAB4B plays a role in calcium metabolism, which may be relevant for the patient’s phenotype. Conclusion: The systematic application of genome techniques to translocations and their advantages is discussed.

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Metrics

Dataset Index

0.9

FAIR Score

85%

Citations

1

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0

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Publication Details

DOI

Publisher

Karger Publishers

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

56%

Source

Scholar Data Model

Keywords

Medicine

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00