BACKGROUND: Next generation sequencing has become the core technology for gene discovery in rare inherited disorders. However, the interpretation of the numerous sequence variants identified remains challenging. We assessed the application of exome sequencing for diagnostics in complex I deficiency, a disease with vast genetic heterogeneity. METHODS: Ten unrelated individuals with complex I deficiency were selected for exome sequencing and sequential bioinformatic filtering. Cellular rescue experiments were performed to verify pathogenicity of novel disease alleles. RESULTS: The first filter criterion was 'Presence of known pathogenic complex I deficiency variants'. This revealed homozygous mutations in NDUFS3 and ACAD9 in two individuals. A second criterion was 'Presence of two novel potentially pathogenic variants in a structural gene of complex I', which discovered rare variants in NDUFS8 in two unrelated individuals and in NDUFB3 in a third. Expression of wild-type cDNA in mutant cell lines rescued complex I activity and assembly, thus providing a functional validation of their pathogenicity. Using the third criterion 'Presence of two potentially pathogenic variants in a gene encoding a mitochondrial protein', loss-of-function mutations in MTFMT were discovered in two patients. In three patients the molecular genetic correlate remained unclear and follow-up analysis is ongoing. CONCLUSION: Appropriate in silico filtering of exome sequencing data, coupled with functional validation of new disease alleles, is effective in rapidly identifying disease-causative variants in known and new complex I associated disease genes.
BACKGROUND: Next generation sequencing has become the core technology for gene discovery in rare inherited disorders. However, the interpretation of the numerous sequence variants identified remains challenging. We assessed the application of exome sequencing for diagnostics in complex I deficiency, a disease with vast genetic heterogeneity. METHODS: Ten unrelated individuals with complex I deficiency were selected for exome sequencing and sequential bioinformatic filtering. Cellular rescue experiments were performed to verify pathogenicity of novel disease alleles. RESULTS: The first filter criterion was 'Presence of known pathogenic complex I deficiency variants'. This revealed homozygous mutations in NDUFS3 and ACAD9 in two individuals. A second criterion was 'Presence of two novel potentially pathogenic variants in a structural gene of complex I', which discovered rare variants in NDUFS8 in two unrelated individuals and in NDUFB3 in a third. Expression of wild-type cDNA in mutant cell lines rescued complex I activity and assembly, thus providing a functional validation of their pathogenicity. Using the third criterion 'Presence of two potentially pathogenic variants in a gene encoding a mitochondrial protein', loss-of-function mutations in MTFMT were discovered in two patients. In three patients the molecular genetic correlate remained unclear and follow-up analysis is ongoing. CONCLUSION: Appropriate in silico filtering of exome sequencing data, coupled with functional validation of new disease alleles, is effective in rapidly identifying disease-causative variants in known and new complex I associated disease genes.
Authors: Jessica Nouws; Flemming Wibrand; Mariël van den Brand; Hanka Venselaar; Morten Duno; Allan M Lund; Simon Trautner; Leo Nijtmans; Elsebet Ostergard Journal: JIMD Rep Date: 2013-08-31
Authors: Manuel Schiff; Birgit Haberberger; Chuanwu Xia; Al-Walid Mohsen; Eric S Goetzman; Yudong Wang; Radha Uppala; Yuxun Zhang; Anuradha Karunanidhi; Dolly Prabhu; Hana Alharbi; Edward V Prochownik; Tobias Haack; Johannes Häberle; Arnold Munnich; Agnes Rötig; Robert W Taylor; Robert D Nicholls; Jung-Ja Kim; Holger Prokisch; Jerry Vockley Journal: Hum Mol Genet Date: 2015-02-26 Impact factor: 6.150
Authors: Marisa W Friederich; Alican J Erdogan; Curtis R Coughlin; Mihret T Elos; Hua Jiang; Courtney P O'Rourke; Mark A Lovell; Eric Wartchow; Katherine Gowan; Kathryn C Chatfield; Wallace S Chick; Elaine B Spector; Johan L K Van Hove; Jan Riemer Journal: Hum Mol Genet Date: 2017-02-15 Impact factor: 6.150
Authors: Gordon J Hildick-Smith; Jeffrey D Cooney; Caterina Garone; Laura S Kremer; Tobias B Haack; Jonathan N Thon; Non Miyata; Daniel S Lieber; Sarah E Calvo; H Orhan Akman; Yvette Y Yien; Nicholas C Huston; Diana S Branco; Dhvanit I Shah; Matthew L Freedman; Carla M Koehler; Joseph E Italiano; Andreas Merkenschlager; Skadi Beblo; Tim M Strom; Thomas Meitinger; Peter Freisinger; M Alice Donati; Holger Prokisch; Vamsi K Mootha; Salvatore DiMauro; Barry H Paw Journal: Am J Hum Genet Date: 2013-10-10 Impact factor: 11.025
Authors: Dorota Piekutowska-Abramczuk; Zahra Assouline; Lavinija Mataković; René G Feichtinger; Eliška Koňařiková; Elżbieta Jurkiewicz; Piotr Stawiński; Mirjana Gusic; Andreas Koller; Agnieszka Pollak; Piotr Gasperowicz; Joanna Trubicka; Elżbieta Ciara; Katarzyna Iwanicka-Pronicka; Dariusz Rokicki; Sylvain Hanein; Saskia B Wortmann; Wolfgang Sperl; Agnès Rötig; Holger Prokisch; Ewa Pronicka; Rafał Płoski; Giulia Barcia; Johannes A Mayr Journal: Am J Hum Genet Date: 2018-02-08 Impact factor: 11.025
Authors: David A Stroud; Elliot E Surgenor; Luke E Formosa; Boris Reljic; Ann E Frazier; Marris G Dibley; Laura D Osellame; Tegan Stait; Traude H Beilharz; David R Thorburn; Agus Salim; Michael T Ryan Journal: Nature Date: 2016-09-14 Impact factor: 49.962
Authors: Daniel S Lieber; Sarah E Calvo; Kristy Shanahan; Nancy G Slate; Shangtao Liu; Steven G Hershman; Nina B Gold; Brad A Chapman; David R Thorburn; Gerard T Berry; Jeremy D Schmahmann; Mark L Borowsky; David M Mueller; Katherine B Sims; Vamsi K Mootha Journal: Neurology Date: 2013-04-17 Impact factor: 9.910
Authors: Thomas Johnstone; Jennifer Wang; Daron Ross; Nicholas Balanda; Yan Huang; Rena Godfrey; Catherine Groden; Brandon R Barton; William Gahl; Camilo Toro; May Christine V Malicdan Journal: Mol Genet Metab Date: 2020-10-14 Impact factor: 4.797