@article {678, title = {Heterozygous Variants in KMT2E Cause a Spectrum of Neurodevelopmental Disorders and Epilepsy.}, journal = {Am J Hum Genet}, volume = {104}, year = {2019}, month = {2019 Jun 06}, pages = {1210-1222}, abstract = {

We delineate a KMT2E-related neurodevelopmental disorder on the basis of 38 individuals in 36 families. This study includes 31 distinct heterozygous variants in KMT2E (28 ascertained from Matchmaker Exchange and three previously reported), and four individuals with chromosome 7q22.2-22.23 microdeletions encompassing KMT2E (one previously reported). Almost all variants occurred de novo, and most were truncating. Most affected individuals with protein-truncating variants presented with mild intellectual disability. One-quarter of individuals met criteria for autism. Additional common features include macrocephaly, hypotonia, functional gastrointestinal abnormalities, and a subtle facial gestalt. Epilepsy was present in about one-fifth of individuals with truncating variants and was responsive to treatment with anti-epileptic medications in almost all. More than 70\% of the individuals were male, and expressivity was variable by sex; epilepsy was more common in females and autism more common in males. The four individuals with microdeletions encompassing KMT2E generally presented similarly to those with truncating variants, but the degree of developmental delay was greater. The group of four individuals with missense variants in KMT2E presented with the most severe developmental delays. Epilepsy was present in all individuals with missense variants, often manifesting as treatment-resistant infantile epileptic encephalopathy. Microcephaly was also common in this group. Haploinsufficiency versus gain-of-function or dominant-negative effects specific to these missense variants in KMT2E might explain this divergence in phenotype, but requires independent validation. Disruptive variants in KMT2E are an under-recognized cause of neurodevelopmental abnormalities.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2019.03.021}, author = {O{\textquoteright}Donnell-Luria, Anne H and Pais, Lynn S and Faundes, V{\'\i}ctor and Wood, Jordan C and Sveden, Abigail and Luria, Victor and Abou Jamra, Rami and Accogli, Andrea and Amburgey, Kimberly and Anderlid, Britt Marie and Azzarello-Burri, Silvia and Basinger, Alice A and Bianchini, Claudia and Bird, Lynne M and Buchert, Rebecca and Carr{\'e}, Wilfrid and Ceulemans, Sophia and Charles, Perrine and Cox, Helen and Culliton, Lisa and Curr{\`o}, Aurora and Demurger, Florence and Dowling, James J and Duban-Bedu, Benedicte and Dubourg, Christ{\`e}le and Eiset, Saga Elise and Escobar, Luis F and Ferrarini, Alessandra and Haack, Tobias B and Hashim, Mona and Heide, Solveig and Helbig, Katherine L and Helbig, Ingo and Heredia, Raul and H{\'e}ron, Delphine and Isidor, Bertrand and Jonasson, Amy R and Joset, Pascal and Keren, Boris and Kok, Fernando and Kroes, Hester Y and Lavillaureix, Alino{\"e} and Lu, Xin and Maas, Saskia M and Maegawa, Gustavo H B and Marcelis, Carlo L M and Mark, Paul R and Masruha, Marcelo R and McLaughlin, Heather M and McWalter, Kirsty and Melchinger, Esther U and Mercimek-Andrews, Saadet and Nava, Caroline and Pendziwiat, Manuela and Person, Richard and Ramelli, Gian Paolo and Ramos, Luiza L P and Rauch, Anita and Reavey, Caitlin and Renieri, Alessandra and Rie{\ss}, Angelika and Sanchez-Valle, Amarilis and Sattar, Shifteh and Saunders, Carol and Schwarz, Niklas and Smol, Thomas and Srour, Myriam and Steindl, Katharina and Syrbe, Steffen and Taylor, Jenny C and Telegrafi, Aida and Thiffault, Isabelle and Trauner, Doris A and van der Linden, Helio and van Koningsbruggen, Silvana and Villard, Laurent and Vogel, Ida and Vogt, Julie and Weber, Yvonne G and Wentzensen, Ingrid M and Widjaja, Elysa and Zak, Jaroslav and Baxter, Samantha and Banka, Siddharth and Rodan, Lance H} } @article {595, title = {Insights into genetics, human biology and disease gleaned from family based genomic studies.}, journal = {Genet Med}, volume = {21}, year = {2019}, month = {2019 04}, pages = {798-812}, abstract = {

Identifying genes and variants contributing to rare disease phenotypes and Mendelian conditions informs biology and medicine, yet potential phenotypic consequences for variation of >75\% of the ~20,000 annotated genes in the human genome are lacking. Technical advances to assess rare variation genome-wide, particularly exome sequencing (ES), enabled establishment in the United States of the National Institutes of Health (NIH)-supported Centers for Mendelian Genomics (CMGs) and have facilitated collaborative studies resulting in~novel "disease gene" discoveries. Pedigree-based genomic studies and rare variant analyses in families with suspected Mendelian conditions have led to the elucidation of hundreds of novel disease genes and highlighted the impact of de novo mutational events, somatic variation underlying nononcologic traits, incompletely penetrant alleles, phenotypes with high locus heterogeneity, and multilocus pathogenic variation. Herein, we highlight CMG collaborative discoveries that have contributed to understanding both rare and common diseases and discuss opportunities for future discovery in single-locus Mendelian disorder genomics. Phenotypic annotation of all human genes; development of bioinformatic tools and analytic methods; exploration of non-Mendelian modes of inheritance including reduced penetrance, multilocus variation, and oligogenic inheritance; construction of allelic series at a locus; enhanced data sharing worldwide; and integration with clinical genomics are explored. Realizing the full contribution of rare disease research to functional annotation of the human genome, and further illuminating human biology and health, will lay the foundation for the Precision Medicine Initiative.

}, keywords = {Databases, Genetic, Genetic Diseases, Inborn, Genetic Heterogeneity, Genetic Predisposition to Disease, Genome, Human, Genomics, Humans, National Institutes of Health (U.S.), Pedigree, United States, Whole Exome Sequencing}, issn = {1530-0366}, doi = {10.1038/s41436-018-0408-7}, author = {Posey, Jennifer E and O{\textquoteright}Donnell-Luria, Anne H and Chong, Jessica X and Harel, Tamar and Jhangiani, Shalini N and Coban Akdemir, Zeynep H and Buyske, Steven and Pehlivan, Davut and Carvalho, Claudia M B and Baxter, Samantha and Sobreira, Nara and Liu, Pengfei and Wu, Nan and Rosenfeld, Jill A and Kumar, Sushant and Avramopoulos, Dimitri and White, Janson J and Doheny, Kimberly F and Witmer, P Dane and Boehm, Corinne and Sutton, V Reid and Muzny, Donna M and Boerwinkle, Eric and G{\"u}nel, Murat and Nickerson, Deborah A and Mane, Shrikant and MacArthur, Daniel G and Gibbs, Richard A and Hamosh, Ada and Lifton, Richard P and Matise, Tara C and Rehm, Heidi L and Gerstein, Mark and Bamshad, Michael J and Valle, David and Lupski, James R} } @article {511, title = {matchbox: An open-source tool for patient matching via the Matchmaker Exchange.}, journal = {Hum Mutat}, volume = {39}, year = {2018}, month = {2018 Dec}, pages = {1827-1834}, abstract = {

Rare disease investigators constantly face challenges in identifying additional cases to build evidence for gene-disease causality. The Matchmaker Exchange (MME) addresses this limitation by providing a mechanism for matching patients across genomic centers via a federated network. The MME has revolutionized searching for additional cases by making it possible to query across institutional boundaries, so that what was once a laborious and manual process of contacting researchers is now automated and computable. However, while the MME network is beginning to scale, the growth of additional nodes is limited by the lack of easy-to-use solutions that can be implemented by any rare disease database owner, even one without significant software engineering resources. Here, we describe matchbox, which is an open-source, platform-independent, portable bridge between any given rare disease genomic center and the MME network, which has already led to novel gene discoveries. We also describe how matchbox greatly reduces the barrier to participation by overcoming challenges for new databases to join the MME.

}, issn = {1098-1004}, doi = {10.1002/humu.23655}, author = {Arachchi, Harindra and Wojcik, Monica H and Weisburd, Benjamin and Jacobsen, Julius O B and Valkanas, Elise and Baxter, Samantha and Byrne, Alicia B and O{\textquoteright}Donnell-Luria, Anne H and Haendel, Melissa and Smedley, Damian and MacArthur, Daniel G and Philippakis, Anthony A and Rehm, Heidi L} }