@article {923, title = {Alternative genomic diagnoses for individuals with a clinical diagnosis of Dubowitz syndrome.}, journal = {Am J Med Genet A}, volume = {185}, year = {2021}, month = {2021 01}, pages = {119-133}, abstract = {

Dubowitz syndrome (DubS) is considered a recognizable syndrome characterized by a distinctive facial appearance and deficits in growth and development. There have been over 200 individuals reported with Dubowitz or a "Dubowitz-like" condition, although no single gene has been implicated as responsible for its cause. We have performed exome (ES) or genome sequencing (GS) for 31 individuals clinically diagnosed with DubS. After genome-wide sequencing, rare variant filtering and computational and Mendelian genomic analyses, a presumptive molecular diagnosis was made in 13/27 (48\%) families. The molecular diagnoses included biallelic variants in SKIV2L, SLC35C1, BRCA1, NSUN2; de novo variants in ARID1B, ARID1A, CREBBP, POGZ, TAF1, HDAC8, and copy-number variation at1p36.11(ARID1A), 8q22.2(VPS13B), Xp22, and Xq13(HDAC8). Variants of unknown significance in known disease genes, and also in genes of uncertain significance, were observed in 7/27 (26\%) additional families. Only one gene, HDAC8, could explain the phenotype in more than one family (N = 2). All but two of the genomic diagnoses were for genes discovered, or for conditions recognized, since the introduction of next-generation sequencing. Overall, the DubS-like clinical phenotype is associated with extensive locus heterogeneity and the molecular diagnoses made are for emerging clinical conditions sharing characteristic features that overlap the DubS phenotype.

}, issn = {1552-4833}, doi = {10.1002/ajmg.a.61926}, author = {Dyment, David A and O{\textquoteright}Donnell-Luria, Anne and Agrawal, Pankaj B and Coban Akdemir, Zeynep and Aleck, Kyrieckos A and Antaki, Danny and Al Sharhan, Hind and Au, Ping-Yee B and Aydin, Hatip and Beggs, Alan H and Bilguvar, Kaya and Boerwinkle, Eric and Brand, Harrison and Brownstein, Catherine A and Buyske, Steve and Chodirker, Bernard and Choi, Jungmin and Chudley, Albert E and Clericuzio, Carol L and Cox, Gerald F and Curry, Cynthia and de Boer, Elke and de Vries, Bert B A and Dunn, Kathryn and Dutmer, Cullen M and England, Eleina M and Fahrner, Jill A and Geckinli, Bilgen B and Genetti, Casie A and Gezdirici, Alper and Gibson, William T and Gleeson, Joseph G and Greenberg, Cheryl R and Hall, April and Hamosh, Ada and Hartley, Taila and Jhangiani, Shalini N and Karaca, Ender and Kernohan, Kristin and Lauzon, Julie L and Lewis, M E Suzanne and Lowry, R Brian and L{\'o}pez-Gir{\'a}ldez, Francesc and Matise, Tara C and McEvoy-Venneri, Jennifer and McInnes, Brenda and Mhanni, Aziz and Garcia Minaur, Sixto and Moilanen, Jukka and Nguyen, An and Nowaczyk, Malgorzata J M and Posey, Jennifer E and {\~O}unap, Katrin and Pehlivan, Davut and Pajusalu, Sander and Penney, Lynette S and Poterba, Timothy and Prontera, Paolo and Doriqui, Maria Juliana Rodovalho and Sawyer, Sarah L and Sobreira, Nara and Stanley, Valentina and Torun, Deniz and Wargowski, David and Witmer, P Dane and Wong, Isaac and Xing, Jinchuan and Zaki, MAH S and Zhang, Yeting and Boycott, Kym M and Bamshad, Michael J and Nickerson, Deborah A and Blue, Elizabeth E and Innes, A Micheil} } @article {827, title = {Congenital Heart Defects Due to Missense Variants.}, journal = {Circ Genom Precis Med}, volume = {13}, year = {2020}, month = {2020 06}, pages = {e002843}, issn = {2574-8300}, doi = {10.1161/CIRCGEN.119.002843}, author = {Morton, Sarah U and Agarwal, Radhika and Madden, Jill A and Genetti, Casie A and Brownstein, Catherine A and L{\'o}pez-Gir{\'a}ldez, Francesc and Choi, Jungmin and Seidman, Christine E and Seidman, Jonathan G and Lyon, Gholson J and Agrawal, Pankaj B} } @article {653, title = {Unique bioinformatic approach and comprehensive reanalysis improve diagnostic yield of clinical exomes.}, journal = {Eur J Hum Genet}, year = {2019}, month = {2019 Apr 12}, abstract = {

Clinical exome sequencing (CES) is increasingly being utilized; however, a large proportion of patients remain undiagnosed, creating a need for a systematic approach to increase the diagnostic yield. We have reanalyzed CES data for a clinically heterogeneous cohort of 102 probands with likely Mendelian conditions, including 74 negative cases and 28 cases with candidate variants, but reanalysis requested by clinicians. Reanalysis was performed by an interdisciplinary team using a validated custom-built pipeline, "Variant Explorer Pipeline" (VExP). This reanalysis approach and results were compared with existing literature. Reanalysis of candidate variants from CES in 28 cases revealed 1 interpretation that needed to be reclassified. A confirmed or potential genetic diagnosis was identified in 24 of 75 CES-negative/reclassified cases (32.0\%), including variants in known disease-causing genes (n = 6) or candidate genes (n = 18). This yield was higher compared with similar studies demonstrating the utility of this approach. In summary, reanalysis of negative CES in a research setting enhances diagnostic yield by about a third. This study suggests the need for comprehensive, continued reanalysis of exome data when molecular diagnosis is elusive.

}, issn = {1476-5438}, doi = {10.1038/s41431-019-0401-x}, author = {Schmitz-Abe, Klaus and Li, Qifei and Rosen, Samantha M and Nori, Neeharika and Madden, Jill A and Genetti, Casie A and Wojcik, Monica H and Ponnaluri, Sadhana and Gubbels, Cynthia S and Picker, Jonathan D and O{\textquoteright}Donnell-Luria, Anne H and Yu, Timothy W and Bodamer, Olaf and Brownstein, Catherine A and Beggs, Alan H and Agrawal, Pankaj B} } @article {625, title = {Plain-language medical vocabulary for precision diagnosis.}, journal = {Nat Genet}, volume = {50}, year = {2018}, month = {2018 Apr}, pages = {474-476}, issn = {1546-1718}, doi = {10.1038/s41588-018-0096-x}, author = {Vasilevsky, Nicole A and Foster, Erin D and Engelstad, Mark E and Carmody, Leigh and Might, Matt and Chambers, Chip and Dawkins, Hugh J S and Lewis, Janine and Della Rocca, Maria G and Snyder, Michelle and Boerkoel, Cornelius F and Rath, Ana and Terry, Sharon F and Kent, Alastair and Searle, Beverly and Baynam, Gareth and Jones, Erik and Gavin, Pam and Bamshad, Michael and Chong, Jessica and Groza, Tudor and Adams, David and Resnick, Adam C and Heath, Allison P and Mungall, Chris and Holm, Ingrid A and Rageth, Kayli and Brownstein, Catherine A and Shefchek, Kent and McMurry, Julie A and Robinson, Peter N and K{\"o}hler, Sebastian and Haendel, Melissa A} } @article {17, title = {The sensitivity of exome sequencing in identifying pathogenic mutations for LGMD in the United States.}, journal = {J Hum Genet}, volume = {62}, year = {2017}, month = {2017 Feb}, pages = {243-252}, abstract = {

The current study characterizes a cohort of limb-girdle muscular dystrophy (LGMD) in the United States using whole-exome sequencing. Fifty-five families affected by LGMD were recruited using an institutionally approved protocol. Exome sequencing was performed on probands and selected parental samples. Pathogenic mutations and cosegregation patterns were confirmed by Sanger sequencing. Twenty-two families (40\%) had novel and previously reported pathogenic mutations, primarily in LGMD genes, and also in genes for Duchenne muscular dystrophy, facioscapulohumeral muscular dystrophy, congenital myopathy, myofibrillar myopathy, inclusion body myopathy and Pompe disease. One family was diagnosed via clinical testing. Dominant mutations were identified in COL6A1, COL6A3, FLNC, LMNA, RYR1, SMCHD1 and VCP, recessive mutations in ANO5, CAPN3, GAA, LAMA2, SGCA and SGCG, and X-linked mutations in DMD. A previously reported variant in DMD was confirmed to be benign. Exome sequencing is a powerful diagnostic tool for LGMD. Despite careful phenotypic screening, pathogenic mutations were found in other muscle disease genes, largely accounting for the increased sensitivity of exome sequencing. Our experience suggests that broad sequencing panels are useful for these analyses because of the phenotypic overlap of many neuromuscular conditions. The confirmation of a benign DMD variant illustrates the potential of exome sequencing to help determine pathogenicity.

}, keywords = {Base Sequence, Distal Myopathies, Exome, Female, Genetic Testing, Glycogen Storage Disease Type II, Humans, Male, Muscular Dystrophies, Limb-Girdle, Muscular Dystrophy, Duchenne, Muscular Dystrophy, Facioscapulohumeral, Mutation, Myopathies, Structural, Congenital, Sequence Analysis, DNA, United States}, issn = {1435-232X}, doi = {10.1038/jhg.2016.116}, author = {Reddy, Hemakumar M and Cho, Kyung-Ah and Lek, Monkol and Estrella, Elicia and Valkanas, Elise and Jones, Michael D and Mitsuhashi, Satomi and Darras, Basil T and Amato, Anthony A and Lidov, Hart Gw and Brownstein, Catherine A and Margulies, David M and Yu, Timothy W and Salih, Mustafa A and Kunkel, Louis M and MacArthur, Daniel G and Kang, Peter B} } @article {82, title = {Overlapping 16p13.11 deletion and gain of copies variations associated with childhood onset psychosis include genes with mechanistic implications for autism associated pathways: Two case reports.}, journal = {Am J Med Genet A}, volume = {170A}, year = {2016}, month = {2016 May}, pages = {1165-73}, abstract = {

Copy number variability at 16p13.11 has been associated with intellectual disability, autism, schizophrenia, epilepsy, and attention-deficit hyperactivity disorder. Adolescent/adult- onset psychosis has been reported in a subset of these cases. Here, we report on two children with CNVs in 16p13.11 that developed psychosis before the age of 7. The genotype and neuropsychiatric abnormalities of these patients highlight several overlapping genes that have possible mechanistic relevance to pathways previously implicated in Autism Spectrum Disorders, including the mTOR signaling and the ubiquitin-proteasome cascades. A careful screening of the 16p13.11 region is warranted in patients with childhood onset psychosis.

}, keywords = {Autistic Disorder, Child, Child, Preschool, Chromosome Deletion, Chromosomes, Human, Pair 16, Comparative Genomic Hybridization, Developmental Disabilities, DNA Copy Number Variations, Female, Genetic Association Studies, Humans, Male, Psychotic Disorders, Schizophrenia, Signal Transduction}, issn = {1552-4833}, doi = {10.1002/ajmg.a.37595}, author = {Brownstein, Catherine A and Kleiman, Robin J and Engle, Elizabeth C and Towne, Meghan C and D{\textquoteright}Angelo, Eugene J and Yu, Timothy W and Beggs, Alan H and Picker, Jonathan and Fogler, Jason M and Carroll, Devon and Schmitt, Rachel C O and Wolff, Robert R and Shen, Yiping and Lip, Va and Bilguvar, Kaya and Kim, April and Tembulkar, Sahil and O{\textquoteright}Donnell, Kyle and Gonzalez-Heydrich, Joseph} } @article {131, title = {The Matchmaker Exchange: a platform for rare disease gene discovery.}, journal = {Hum Mutat}, volume = {36}, year = {2015}, month = {2015 Oct}, pages = {915-21}, abstract = {

There are few better examples of the need for data sharing than in the rare disease community, where patients, physicians, and researchers must search for "the needle in a haystack" to uncover rare, novel causes of disease within the genome. Impeding the pace of discovery has been the existence of many small siloed datasets within individual research or clinical laboratory databases and/or disease-specific organizations, hoping for serendipitous occasions when two distant investigators happen to learn they have a rare phenotype in common and can "match" these cases to build evidence for causality. However, serendipity has never proven to be a reliable or scalable approach in science. As such, the Matchmaker Exchange (MME) was launched to provide a robust and systematic approach to rare disease gene discovery through the creation of a federated network connecting databases of genotypes and rare phenotypes using a common application programming interface (API). The core building blocks of the MME have been defined and assembled. Three MME services have now been connected through the API and are available for community use. Additional databases that support internal matching are anticipated to join the MME network as it continues to grow.

}, keywords = {Database Management Systems, Databases, Genetic, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Information Dissemination, Rare Diseases, Software}, issn = {1098-1004}, doi = {10.1002/humu.22858}, author = {Philippakis, Anthony A and Azzariti, Danielle R and Beltran, Sergi and Brookes, Anthony J and Brownstein, Catherine A and Brudno, Michael and Brunner, Han G and Buske, Orion J and Carey, Knox and Doll, Cassie and Dumitriu, Sergiu and Dyke, Stephanie O M and den Dunnen, Johan T and Firth, Helen V and Gibbs, Richard A and Girdea, Marta and Gonzalez, Michael and Haendel, Melissa A and Hamosh, Ada and Holm, Ingrid A and Huang, Lijia and Hurles, Matthew E and Hutton, Ben and Krier, Joel B and Misyura, Andriy and Mungall, Christopher J and Paschall, Justin and Paten, Benedict and Robinson, Peter N and Schiettecatte, Fran{\c c}ois and Sobreira, Nara L and Swaminathan, Ganesh J and Taschner, Peter E and Terry, Sharon F and Washington, Nicole L and Z{\"u}chner, Stephan and Boycott, Kym M and Rehm, Heidi L} }