High-throughput, pooled sequencing identifies mutations in NUBPL and FOXRED1 in human complex I deficiency
Vamsi Mootha and colleagues report high-throughput targeted sequencing of 103 candidate genes in 103 individuals with human mitochondrial complex I deficiency. They identify two genes newly associated with complex I deficiency and are able to provide genetic diagnoses in 22% of their previously unso...
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Published in | Nature genetics Vol. 42; no. 10; pp. 851 - 858 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.10.2010
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Vamsi Mootha and colleagues report high-throughput targeted sequencing of 103 candidate genes in 103 individuals with human mitochondrial complex I deficiency. They identify two genes newly associated with complex I deficiency and are able to provide genetic diagnoses in 22% of their previously unsolved cases.
Discovering the molecular basis of mitochondrial respiratory chain disease is challenging given the large number of both mitochondrial and nuclear genes that are involved. We report a strategy of focused candidate gene prediction, high-throughput sequencing and experimental validation to uncover the molecular basis of mitochondrial complex I disorders. We created seven pools of DNA from a cohort of 103 cases and 42 healthy controls and then performed deep sequencing of 103 candidate genes to identify 151 rare variants that were predicted to affect protein function. We established genetic diagnoses in 13 of 60 previously unsolved cases using confirmatory experiments, including cDNA complementation to show that mutations in
NUBPL
and
FOXRED1
can cause complex I deficiency. Our study illustrates how large-scale sequencing, coupled with functional prediction and experimental validation, can be used to identify causal mutations in individual cases. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 contributed equally to this work |
ISSN: | 1061-4036 1546-1718 1546-1718 |
DOI: | 10.1038/ng.659 |