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Purpose: This study aimed to identify genetic etiologies and genotype/phenotype associations for unsolved ocular congenital cranial dysinnervation disorders (oCCDDs). Methods: We coupled phenotyping with exome or genome sequencing of 467 probands (550 affected and 1108 total individuals) with genetically unsolved oCCDDs, integrating analyses of pedigrees, human and animal model phenotypes, and de novo variants to identify rare candidate single-nucleotide variants, insertion/deletions, and structural variants disrupting protein-coding regions. Prioritized variants were classified for pathogenicity and evaluated for genotype/phenotype correlations. Results: Analyses elucidated phenotypic subgroups, identified pathogenic/likely pathogenic variant(s) in 43 of 467 probands (9.2%), and prioritized variants of uncertain significance in 70 of 467 additional probands (15.0%). These included known and novel variants in established oCCDD genes, genes associated with syndromes that sometimes include oCCDDs (eg, MYH10 [HGNC:7568], KIF21B [HGNC:29442], TGFBR2 [HGNC:11773], and TUBB6 [HGNC:20776]), genes that fit the syndromic component of the phenotype but had no prior oCCDD association (eg, CDK13 [HGNC:1733], TGFB2 [HGNC:11768]), genes with no reported association with oCCDDs or the syndromic phenotypes (eg, TUBA4A [HGNC:12407], KIF5C [HGNC:6325], CTNNA1 [HGNC:2509], KLB [HGNC:15527], FGF21 [HGNC:3678]), and genes associated with oCCDD phenocopies that had resulted in misdiagnoses. Conclusion: This study suggests that unsolved oCCDDs are clinically and genetically heterogeneous disorders often overlapping other Mendelian conditions and nominates many candidates for future replication and functional studies.
Expanding the genetics and phenotypes of ocular congenital cranial dysinnervation disorders
Jurgens, Julie A.;Barry, Brenda J.;Chan, Wai-Man;MacKinnon, Sarah;Whitman, Mary C.;Matos Ruiz, Paola M.;Pratt, Brandon M.;England, Eleina M.;Pais, Lynn;Lemire, Gabrielle;Groopman, Emily;Glaze, Carmen;Russell, Kathryn A.;Singer-Berk, Moriel;Di Gioia, Silvio Alessandro;Lee, Arthur S.;Andrews, Caroline;Shaaban, Sherin;Wirth, Megan M.;Bekele, Sarah;Toffoloni, Melissa;Bradford, Victoria R.;Foster, Emma E.;Berube, Lindsay;Rivera-Quiles, Cristina;Mensching, Fiona M.;Sanchis-Juan, Alba;Fu, Jack M.;Wong, Isaac;Zhao, Xuefang;Wilson, Michael W.;Weisburd, Ben;Lek, Monkol;Abarca-Barriga, Hugo;Al-Haddad, Christiane;Berman, Jeffrey L.;Bothun, Erick D.;Capasso, Jenina;Chacon-Camacho, Oscar Francisco;Chang, Lan;Christiansen, Stephen P.;Ciccarelli, Maria Laura;Cordonnier, Monique;Cox, Gerald F.;Curry, Cynthia J.;Dagi, Linda R.;Lee Dahm, Thomas;David, Karen L.;Davitt, Bradley V.;De Berardinis, Teresa;Demer, Joseph L.;Désir, Julie;D'Esposito, Fabiana;Drack, Arlene V.;Eggenberger, Eric;Elder, James E.;Elliott, Alexandra T.;Epley, K. David;Feldman, Hagit Baris;Ferreira, Carlos R.;Flaherty, Maree P.;Fulton, Anne B.;Gerth-Kahlert, Christina;Gottlob, Irene;Grill, Stephen;Halliday, Dorothy J.;Hanisch, Frank;Hay, Eleanor;Heidary, Gena;Holder, Christopher;Horton, Jonathan C.;Iannaccone, Alessandro;Isenberg, Sherwin J.;Johnston, Suzanne C.;Kahana, Alon;Katowitz, James A.;Kazlas, Melanie;Kerr, Natalie C.;Kimonis, Virginia;Ko, Melissa W.;Koc, Feray;Larsen, Dorte Ancher;Lay-Son, Guillermo;Ledoux, Danielle M.;Levin, Alex V.;Levy, Richard L.;Lyons, Christopher J.;Mackey, David A.;Magli, Adriano;Mantagos, Iason S.;Marti, Candice;Maystadt, Isabelle;McKenzie, Fiona;Menezes, Manoj P.;Mikail, Claudia N.;Miller, David T.;Miller, Kathryn Bisceglia;Mills, Monte D.;Miyana, Kaori;Moller, H. U.;Mullineaux, Lisa;Nishimura, Julie K.;Noble, A. Gwendolyn;Pandey, Pramod Kumar;Pavone, Piero;Penzien, Johann;Petersen, Robert;Phalen, James A.;Poduri, Annapurna;Polo, Claudia R.;Prasov, Lev;Ramos, Feliciano J.;Ramos-Caceres, Maria;Robb, Richard M.;Rossillion, Béatrice;Sahin, Mustafa;Singer, Harvey S.;Smith, Lois E. H.;Sorkin, Jeffrey A.;Soul, Janet S.;Staffieri, Sandra E.;Stalker, Heather J.;Stasheff, Steven F.;Strassberg, Sonya;Strominger, Mitchell B.;Taranath, Deepa Ajay;Thomas, Ioan Talfryn;Traboulsi, Elias I.;Ugrin, Maria Cristina;VanderVeen, Deborah K.;Vincent, Andrea L.;Vogel G, Marlene C.;Wabbels, Bettina;Wong, Agnes M. F.;Woods, C. Geoffrey;Wu, Carolyn;Yang, Edward;Yeung, Alison;Young, Terri L.;Zenteno, Juan C.;Zubcov-Iwantscheff, Alexandra A.;Zwaan, Johan;Brand, Harrison;Talkowski, Michael E.;MacArthur, Daniel G.;O'Donnell-Luria, Anne;Robson, Caroline D.;Hunter, David G.;Engle, Elizabeth C.
2025-01-01
Abstract
Purpose: This study aimed to identify genetic etiologies and genotype/phenotype associations for unsolved ocular congenital cranial dysinnervation disorders (oCCDDs). Methods: We coupled phenotyping with exome or genome sequencing of 467 probands (550 affected and 1108 total individuals) with genetically unsolved oCCDDs, integrating analyses of pedigrees, human and animal model phenotypes, and de novo variants to identify rare candidate single-nucleotide variants, insertion/deletions, and structural variants disrupting protein-coding regions. Prioritized variants were classified for pathogenicity and evaluated for genotype/phenotype correlations. Results: Analyses elucidated phenotypic subgroups, identified pathogenic/likely pathogenic variant(s) in 43 of 467 probands (9.2%), and prioritized variants of uncertain significance in 70 of 467 additional probands (15.0%). These included known and novel variants in established oCCDD genes, genes associated with syndromes that sometimes include oCCDDs (eg, MYH10 [HGNC:7568], KIF21B [HGNC:29442], TGFBR2 [HGNC:11773], and TUBB6 [HGNC:20776]), genes that fit the syndromic component of the phenotype but had no prior oCCDD association (eg, CDK13 [HGNC:1733], TGFB2 [HGNC:11768]), genes with no reported association with oCCDDs or the syndromic phenotypes (eg, TUBA4A [HGNC:12407], KIF5C [HGNC:6325], CTNNA1 [HGNC:2509], KLB [HGNC:15527], FGF21 [HGNC:3678]), and genes associated with oCCDD phenocopies that had resulted in misdiagnoses. Conclusion: This study suggests that unsolved oCCDDs are clinically and genetically heterogeneous disorders often overlapping other Mendelian conditions and nominates many candidates for future replication and functional studies.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/199827
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.