Cryptic and complex chromosomal aberrations in early-onset neuropsychiatric disorders
Harrison Brand1, Vamsee Pillalamarri2, Ryan L Collins2
1Psychiatric and Neurodevelopmental Genetics Unit, Molecular Neurogenetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Whole-genome sequencing detects numerous structural variations (SVs), including cryptic ones missed by standard tests, offering new insights into neurodevelopmental and psychiatric disorders.
Area of Science:
- Genetics
- Genomics
- Neuroscience
Background:
- Structural variations (SVs) are key genetic causes of neurodevelopmental and psychiatric disorders, but clinical screening is limited.
- Current methods like chromosomal microarray (CMA) and karyotyping miss certain SVs, including balanced chromosomal abnormalities (BCAs) and cryptic copy-number variants (CNVs).
Purpose of the Study:
- To evaluate whole-genome sequencing (WGS) with large-insert jumping libraries for comprehensive detection of both visible and cryptic SVs in youth with severe neuropsychiatric conditions.
- To assess the diagnostic yield and clinical significance of SVs identified by WGS.
Main Methods:
- Whole-genome sequencing (WGS) using large-insert jumping libraries was performed on 30 clinically referred youth with severe neuropsychiatric conditions.
- Detected SVs were filtered based on confidence and resolution thresholds.
- Genomic profiling was used to analyze complex rearrangements and compare findings with existing clinical CNV data.
Main Results:
- An average of 96 high-confidence SVs (>6,305 bp) and 111 lower-resolution SVs per person were detected.
- These SVs affected 3.8 Mb of genomic sequence, yielding 42 putative loss-of-function (LoF) or gain-of-function mutations per person.
- An estimated 80% of LoF variants were cryptic to clinical CMA. Complex rearrangements, including a recurrent inversion, were identified. Three SVs were deemed clinically significant.
Conclusions:
- WGS with large-insert jumping libraries provides a comprehensive approach to detect the full spectrum of SVs, including cryptic ones, in individuals with neuropsychiatric disorders.
- This method has the potential to improve diagnostic yield and understanding of the genetic basis of these conditions.
- Sequence-based delineation of the SV mutational spectrum should be explored for broader clinical diagnostic screening in youth referred for neuropsychiatric evaluation.
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