Browsing by Author "Küry, Sébastien"

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    Disruption of RFX family transcription factors causes autism, attention-deficit/hyperactivity disorder, intellectual disability, and dysregulated behavior
    (Elsevier, 2021) Harris, Holly K.; Nakayama, Tojo; Lai, Jenny; Zhao, Boxun; Argyrou, Nikoleta; Gubbels, Cynthia S.; Soucy, Aubrie; Genetti, Casie A.; Suslovitch, Victoria; Rodan, Lance H.; Tiller, George E.; Lesca, Gaetan; Gripp, Karen W.; Asadollahi, Reza; Hamosh, Ada; Applegate, Carolyn D.; Turnpenny, Peter D.; Simon, Marleen E.H.; Volker-Touw, Catharina M.L.; van Gassen, Koen L.I.; van Binsbergen, Ellen; Pfundt, Rolph; Gardeitchik, Thatjana; de Vries, Bert B.A.; Immken, LaDonna L.; Buchanan, Catherine; Willing, Marcia; Toler, Tomi L.; Fassi, Emily; Baker, Laura; Vansenne, Fleur; Wang, Xiadong; Ambrus, Julian L., Jr.; Fannemel, Madeleine; Posey, Jennifer E.; Agolini, Emanuele; Novelli, Antonio; Rauch, Anita; Boonsawat, Paranchai; Fagerberg, Christina R.; Larsen, Martin J.; Kibaek, Maria; Labalme, Audrey; Poisson, Alice; Payne, Katelyn K.; Walsh, Laurence E.; Aldinger, Kimberly A.; Balciuniene, Jorune; Skraban, Cara; Gray, Christopher; Murrell, Jill; Bupp, Caleb P.; Pascolini, Giulia; Grammatico, Paola; Broly, Martin; Küry, Sébastien; Nizon, Mathilde; Rasool, Iqra Ghulam; Zahoor, Muhammad Yasir; Kraus, Cornelia; Reis, André; Iqbal, Muhammad; Uguen, Kevin; Audebert-Bellanger, Severine; Ferec, Claude; Redon, Sylvia; Baker, Janice; Wu, Yunhong; Zampino, Guiseppe; Syrbe, Steffan; Brosse, Ines; Jamra, Rami Abou; Dobyns, William B.; Cohen, Lilian L.; Blomhoff, Anne; Mignot, Cyril; Keren, Boris; Courtin, Thomas; Agrawal, Pankaj B.; Beggs, Alan H.; Yu, Timothy W.; Neurology, School of Medicine
    Purpose: We describe a novel neurobehavioral phenotype of autism spectrum disorder (ASD), intellectual disability, and/or attention-deficit/hyperactivity disorder (ADHD) associated with de novo or inherited deleterious variants in members of the RFX family of genes. RFX genes are evolutionarily conserved transcription factors that act as master regulators of central nervous system development and ciliogenesis. Methods: We assembled a cohort of 38 individuals (from 33 unrelated families) with de novo variants in RFX3, RFX4, and RFX7. We describe their common clinical phenotypes and present bioinformatic analyses of expression patterns and downstream targets of these genes as they relate to other neurodevelopmental risk genes. Results: These individuals share neurobehavioral features including ASD, intellectual disability, and/or ADHD; other frequent features include hypersensitivity to sensory stimuli and sleep problems. RFX3, RFX4, and RFX7 are strongly expressed in developing and adult human brain, and X-box binding motifs as well as RFX ChIP-seq peaks are enriched in the cis-regulatory regions of known ASD risk genes. Conclusion: These results establish a likely role of deleterious variation in RFX3, RFX4, and RFX7 in cases of monogenic intellectual disability, ADHD and ASD, and position these genes as potentially critical transcriptional regulators of neurobiological pathways associated with neurodevelopmental disease pathogenesis.
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    Lessons learned from additional research analyses of unsolved clinical exome cases
    (BioMed Central, 2017-03-21) Eldomery, Mohammad K.; Coban-Akdemir, Zeynep; Harel, Tamar; Rosenfeld, Jill A.; Gambin, Tomasz; Stray-Pedersen, Asbjørg; Küry, Sébastien; Mercier, Sandra; Lessel, Davor; Denecke, Jonas; Wiszniewski, Wojciech; Penney, Samantha; Liu, Pengfei; Bi, Weimin; Lalani, Seema R.; Schaaf, Christian P.; Wangler, Michael F.; Bacino, Carlos A.; Lewis, Richard Alan; Potocki, Lorraine; Graham, Brett H.; Belmont, John W.; Scaglia, Fernando; Orange, Jordan S.; Jhangiani, Shalini N.; Chiang, Theodore; Doddapaneni, Harsha; Hu, Jianhong; Muzny, Donna M.; Xia, Fan; Beaudet, Arthur L.; Boerwinkle, Eric; Eng, Christine M.; Plon, Sharon E.; Sutton, V. Reid; Gibbs, Richard A.; Posey, Jennifer E.; Yang, Yaping; Lupski, James R.; Department of Pathology and Laboratory Medicine, IU School of Medicine
    BACKGROUND: Given the rarity of most single-gene Mendelian disorders, concerted efforts of data exchange between clinical and scientific communities are critical to optimize molecular diagnosis and novel disease gene discovery. METHODS: We designed and implemented protocols for the study of cases for which a plausible molecular diagnosis was not achieved in a clinical genomics diagnostic laboratory (i.e. unsolved clinical exomes). Such cases were recruited to a research laboratory for further analyses, in order to potentially: (1) accelerate novel disease gene discovery; (2) increase the molecular diagnostic yield of whole exome sequencing (WES); and (3) gain insight into the genetic mechanisms of disease. Pilot project data included 74 families, consisting mostly of parent-offspring trios. Analyses performed on a research basis employed both WES from additional family members and complementary bioinformatics approaches and protocols. RESULTS: Analysis of all possible modes of Mendelian inheritance, focusing on both single nucleotide variants (SNV) and copy number variant (CNV) alleles, yielded a likely contributory variant in 36% (27/74) of cases. If one includes candidate genes with variants identified within a single family, a potential contributory variant was identified in a total of ~51% (38/74) of cases enrolled in this pilot study. The molecular diagnosis was achieved in 30/63 trios (47.6%). Besides this, the analysis workflow yielded evidence for pathogenic variants in disease-associated genes in 4/6 singleton cases (66.6%), 1/1 multiplex family involving three affected siblings, and 3/4 (75%) quartet families. Both the analytical pipeline and the collaborative efforts between the diagnostic and research laboratories provided insights that allowed recent disease gene discoveries (PURA, TANGO2, EMC1, GNB5, ATAD3A, and MIPEP) and increased the number of novel genes, defined in this study as genes identified in more than one family (DHX30 and EBF3). CONCLUSION: An efficient genomics pipeline in which clinical sequencing in a diagnostic laboratory is followed by the detailed reanalysis of unsolved cases in a research environment, supplemented with WES data from additional family members, and subject to adjuvant bioinformatics analyses including relaxed variant filtering parameters in informatics pipelines, can enhance the molecular diagnostic yield and provide mechanistic insights into Mendelian disorders. Implementing these approaches requires collaborative clinical molecular diagnostic and research efforts.