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Nucleic Acids Res. 2019 Mar 14. pii: gkz164. doi: 10.1093/nar/gkz164. [Epub ahead of print]

Splice-Break: exploiting an RNA-seq splice junction algorithm to discover mitochondrial DNA deletion breakpoints and analyses of psychiatric disorders.

Author information

1
Department of Psychiatry and Human Behavior, University of California-Irvine (UCI), Irvine, CA 92697, USA.
2
Department of Translational Genomics, Keck School of Medicine of USC, University of Southern California (USC), Los Angeles, CA 90033, USA.
3
Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), University of Porto, Matosinhos 4050-123, Portugal.
4
The Genome Center, University of California-Davis, Davis, CA 95616, USA.
5
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.
6
Department of Psychiatry, Weill Cornell Medical College at Cornell University, New York, NY 10065, USA.
7
The Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109, USA.
8
HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA.
9
Division of Genetics and Genomic Medicine, Department of Pediatrics, UCI, Irvine, CA, USA.
10
Southwest Brain Bank, Department of Psychiatry, Texas Tech University Health Sciences Center (TTUHSC), El Paso, TX 79905, USA.

Abstract

Deletions in the 16.6 kb mitochondrial genome have been implicated in numerous disorders that often display muscular and/or neurological symptoms due to the high-energy demands of these tissues. We describe a catalogue of 4489 putative mitochondrial DNA (mtDNA) deletions, including their frequency and relative read rate, using a combinatorial approach of mitochondria-targeted PCR, next-generation sequencing, bioinformatics, post-hoc filtering, annotation, and validation steps. Our bioinformatics pipeline uses MapSplice, an RNA-seq splice junction detection algorithm, to detect and quantify mtDNA deletion breakpoints rather than mRNA splices. Analyses of 93 samples from postmortem brain and blood found (i) the 4977 bp 'common deletion' was neither the most frequent deletion nor the most abundant; (ii) brain contained significantly more deletions than blood; (iii) many high frequency deletions were previously reported in MitoBreak, suggesting they are present at low levels in metabolically active tissues and are not exclusive to individuals with diagnosed mitochondrial pathologies; (iv) many individual deletions (and cumulative metrics) had significant and positive correlations with age and (v) the highest deletion burdens were observed in major depressive disorder brain, at levels greater than Kearns-Sayre Syndrome muscle. Collectively, these data suggest the Splice-Break pipeline can detect and quantify mtDNA deletions at a high level of resolution.

PMID:
30869147
DOI:
10.1093/nar/gkz164

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