Literature DB >> 34740920

Lessons learnt from multifaceted diagnostic approaches to the first 150 families in Victoria's Undiagnosed Diseases Program.

Thomas Cloney1,2, Lyndon Gallacher1,2, Lynn S Pais3,4, Natalie B Tan1,2, Alison Yeung1,2, Zornitza Stark1,2, Natasha J Brown1,2, George McGillivray1, Martin B Delatycki1,2, Michelle G de Silva1, Lilian Downie1,2, Chloe A Stutterd1,2, Justine Elliott1, Alison G Compton2,5, Alysia Lovgren3,6,7, Ralph Oertel1, David Francis1, Katrina M Bell1,8, Simon Sadedin1,2, Sze Chern Lim1, Guy Helman5, Cas Simons1,9, Daniel G Macarthur3,10,11, David R Thorburn1,2,5, Anne H O'Donnell-Luria3,4,12, John Christodoulou1,2,13, Susan M White1,2, Tiong Yang Tan14,2.   

Abstract

BACKGROUND: Clinical exome sequencing typically achieves diagnostic yields of 30%-57.5% in individuals with monogenic rare diseases. Undiagnosed diseases programmes implement strategies to improve diagnostic outcomes for these individuals. AIM: We share the lessons learnt from the first 3 years of the Undiagnosed Diseases Program-Victoria, an Australian programme embedded within a clinical genetics service in the state of Victoria with a focus on paediatric rare diseases.
METHODS: We enrolled families who remained without a diagnosis after clinical genomic (panel, exome or genome) sequencing between 2016 and 2018. We used family-based exome sequencing (family ES), family-based genome sequencing (family GS), RNA sequencing (RNA-seq) and high-resolution chromosomal microarray (CMA) with research-based analysis.
RESULTS: In 150 families, we achieved a diagnosis or strong candidate in 64 (42.7%) (37 in known genes with a consistent phenotype, 3 in known genes with a novel phenotype and 24 in novel disease genes). Fifty-four diagnoses or strong candidates were made by family ES, six by family GS with RNA-seq, two by high-resolution CMA and two by data reanalysis.
CONCLUSION: We share our lessons learnt from the programme. Flexible implementation of multiple strategies allowed for scalability and response to the availability of new technologies. Broad implementation of family ES with research-based analysis showed promising yields post a negative clinical singleton ES. RNA-seq offered multiple benefits in family ES-negative populations. International data sharing strategies were critical in facilitating collaborations to establish novel disease-gene associations. Finally, the integrated approach of a multiskilled, multidisciplinary team was fundamental to having diverse perspectives and strategic decision-making. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  genetic techniques; genetic testing; genetics; genomics; medical; paediatrics

Mesh:

Year:  2021        PMID: 34740920      PMCID: PMC9068835          DOI: 10.1136/jmedgenet-2021-107902

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   5.941


  61 in total

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Journal:  Hum Mutat       Date:  2018-06-14       Impact factor: 4.878

3.  Diagnostic Impact and Cost-effectiveness of Whole-Exome Sequencing for Ambulant Children With Suspected Monogenic Conditions.

Authors:  Tiong Yang Tan; Oliver James Dillon; Zornitza Stark; Deborah Schofield; Khurshid Alam; Rupendra Shrestha; Belinda Chong; Dean Phelan; Gemma R Brett; Emma Creed; Anna Jarmolowicz; Patrick Yap; Maie Walsh; Lilian Downie; David J Amor; Ravi Savarirayan; George McGillivray; Alison Yeung; Heidi Peters; Susan J Robertson; Aaron J Robinson; Ivan Macciocca; Simon Sadedin; Katrina Bell; Alicia Oshlack; Peter Georgeson; Natalie Thorne; Clara Gaff; Susan M White
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4.  Diagnostic utility of transcriptome sequencing for rare Mendelian diseases.

Authors:  Hane Lee; Alden Y Huang; Lee-Kai Wang; Amanda J Yoon; Genecee Renteria; Ascia Eskin; Rebecca H Signer; Naghmeh Dorrani; Shirley Nieves-Rodriguez; Jijun Wan; Emilie D Douine; Jeremy D Woods; Esteban C Dell'Angelica; Brent L Fogel; Martin G Martin; Manish J Butte; Neil H Parker; Richard T Wang; Perry B Shieh; Derek A Wong; Natalie Gallant; Kathryn E Singh; Y Jane Tavyev Asher; Janet S Sinsheimer; Deborah Krakow; Sandra K Loo; Patrick Allard; Jeanette C Papp; Christina G S Palmer; Julian A Martinez-Agosto; Stanley F Nelson
Journal:  Genet Med       Date:  2019-10-14       Impact factor: 8.822

Review 5.  Insights into genetics, human biology and disease gleaned from family based genomic studies.

Authors:  Jennifer E Posey; Anne H O'Donnell-Luria; Jessica X Chong; Tamar Harel; Shalini N Jhangiani; Zeynep H Coban Akdemir; Steven Buyske; Davut Pehlivan; Claudia M B Carvalho; Samantha Baxter; Nara Sobreira; Pengfei Liu; Nan Wu; Jill A Rosenfeld; Sushant Kumar; Dimitri Avramopoulos; Janson J White; Kimberly F Doheny; P Dane Witmer; Corinne Boehm; V Reid Sutton; Donna M Muzny; Eric Boerwinkle; Murat Günel; Deborah A Nickerson; Shrikant Mane; Daniel G MacArthur; Richard A Gibbs; Ada Hamosh; Richard P Lifton; Tara C Matise; Heidi L Rehm; Mark Gerstein; Michael J Bamshad; David Valle; James R Lupski
Journal:  Genet Med       Date:  2019-01-18       Impact factor: 8.822

6.  A relatively common homozygous TRAPPC4 splicing variant is associated with an early-infantile neurodegenerative syndrome.

Authors:  Shereen G Ghosh; Marcello Scala; Reza Maroofian; Joseph G Gleeson; Christian Beetz; Guy Helman; Valentina Stanley; Xiaoxu Yang; Martin W Breuss; Neda Mazaheri; Laila Selim; Fatemeh Hadipour; Lynn Pais; Chloe A Stutterd; Vasiliki Karageorgou; Amber Begtrup; Amy Crunk; Jane Juusola; Rebecca Willaert; Leigh A Flore; Kelly Kennelly; Christopher Spencer; Martha Brown; Pamela Trapane; Anna C E Hurst; S Lane Rutledge; Dana H Goodloe; Marie T McDonald; Vandana Shashi; Kelly Schoch; Hoda Tomoum; Raghda Zaitoun; Zahra Hadipour; Hamid Galehdari; Alistair T Pagnamenta; Majid Mojarrad; Alireza Sedaghat; Patrícia Dias; Sofia Quintas; Atiyeh Eslahi; Gholamreza Shariati; Peter Bauer; Cas Simons; Henry Houlden; Mahmoud Y Issa; Maha S Zaki
Journal:  Eur J Hum Genet       Date:  2020-09-08       Impact factor: 4.246

7.  Japan's initiative on rare and undiagnosed diseases (IRUD): towards an end to the diagnostic odyssey.

Authors:  Takeya Adachi; Kazuo Kawamura; Yoshihiko Furusawa; Yuji Nishizaki; Noriaki Imanishi; Senkei Umehara; Kazuo Izumi; Makoto Suematsu
Journal:  Eur J Hum Genet       Date:  2017-07-05       Impact factor: 4.246

8.  Making new genetic diagnoses with old data: iterative reanalysis and reporting from genome-wide data in 1,133 families with developmental disorders.

Authors:  Caroline F Wright; Jeremy F McRae; Stephen Clayton; Giuseppe Gallone; Stuart Aitken; Tomas W FitzGerald; Philip Jones; Elena Prigmore; Diana Rajan; Jenny Lord; Alejandro Sifrim; Rosemary Kelsell; Michael J Parker; Jeffrey C Barrett; Matthew E Hurles; David R FitzPatrick; Helen V Firth
Journal:  Genet Med       Date:  2018-01-11       Impact factor: 8.822

9.  Phenotypic spectrum and transcriptomic profile associated with germline variants in TRAF7.

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Journal:  Genet Med       Date:  2020-05-07       Impact factor: 8.822

10.  Large-scale discovery of novel genetic causes of developmental disorders.

Authors: 
Journal:  Nature       Date:  2014-12-24       Impact factor: 69.504

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  1 in total

1.  Receiving Genomic Sequencing Results through the Victorian Undiagnosed Disease Program: Exploring Parental Experiences.

Authors:  Jo Martinussen; Michal Chalk; Justine Elliott; Lyndon Gallacher
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  1 in total

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