@article {445, title = {The Congenital Heart Disease Genetic Network Study: Cohort description.}, journal = {PLoS One}, volume = {13}, year = {2018}, month = {2018}, pages = {e0191319}, abstract = {

The Pediatric Cardiac Genomics Consortium (PCGC) designed the Congenital Heart Disease Genetic Network Study to provide phenotype and genotype data for a large congenital heart defects (CHDs) cohort. This article describes the PCGC cohort, overall and by major types of CHDs (e.g., conotruncal defects) and subtypes of conotrucal heart defects (e.g., tetralogy of Fallot) and left ventricular outflow tract obstructions (e.g., hypoplastic left heart syndrome). Cases with CHDs were recruited through ten sites, 2010-2014. Information on cases (N = 9,727) and their parents was collected through interviews and medical record abstraction. Four case characteristics, eleven parental characteristics, and thirteen parent-reported neurodevelopment outcomes were summarized using counts and frequencies and compared across CHD types and subtypes. Eleven percent of cases had a genetic diagnosis. Among cases without a genetic diagnosis, the majority had conotruncal heart defects (40\%) or left ventricular outflow tract obstruction (21\%). Across CHD types, there were significant differences (p<0.05) in the distribution of all four case characteristics (e.g., sex), four parental characteristics (e.g., maternal pregestational diabetes), and five neurodevelopmental outcomes (e.g., learning disabilities). Several characteristics (e.g., sex) were also significantly different across CHD subtypes. The PCGC cohort is one of the largest CHD cohorts available for the study of genetic determinants of risk and outcomes. The majority of cases do not have a genetic diagnosis. This description of the PCGC cohort, including differences across CHD types and subtypes, provides a reference work for investigators who are interested in collaborating with or using publically available resources from the PCGC.

}, keywords = {Adult, Cohort Studies, Female, Gene Regulatory Networks, Heart Defects, Congenital, Humans, Male, Phenotype}, issn = {1932-6203}, doi = {10.1371/journal.pone.0191319}, author = {Hoang, Thanh T and Goldmuntz, Elizabeth and Roberts, Amy E and Chung, Wendy K and Kline, Jennie K and Deanfield, John E and Giardini, Alessandro and Aleman, Adolfo and Gelb, Bruce D and Mac Neal, Meghan and Porter, George A and Kim, Richard and Brueckner, Martina and Lifton, Richard P and Edman, Sharon and Woyciechowski, Stacy and Mitchell, Laura E and Agopian, A J} } @article {9, title = {Identification of a RAI1-associated disease network through integration of exome sequencing, transcriptomics, and 3D genomics.}, journal = {Genome Med}, volume = {8}, year = {2016}, month = {2016 Nov 01}, pages = {105}, abstract = {

BACKGROUND: Smith-Magenis syndrome (SMS) is a developmental disability/multiple congenital anomaly disorder resulting from haploinsufficiency of RAI1. It is characterized by distinctive facial features, brachydactyly, sleep disturbances, and stereotypic behaviors.

METHODS: We investigated a cohort of 15 individuals with a clinical suspicion of SMS who showed neither deletion in the SMS critical region nor damaging variants in RAI1 using whole exome sequencing. A combination of network analysis (co-expression and biomedical text mining), transcriptomics, and circularized chromatin conformation capture (4C-seq) was applied to verify whether modified genes are part of the same disease network as known SMS-causing genes.

RESULTS: Potentially deleterious variants were identified in nine of these individuals using whole-exome sequencing. Eight of these changes affect KMT2D, ZEB2, MAP2K2, GLDC, CASK, MECP2, KDM5C, and POGZ, known to be associated with Kabuki syndrome 1, Mowat-Wilson syndrome, cardiofaciocutaneous syndrome, glycine encephalopathy, mental retardation and microcephaly with pontine and cerebellar hypoplasia, X-linked mental retardation 13, X-linked mental retardation Claes-Jensen type, and White-Sutton syndrome, respectively. The ninth individual carries a de novo variant in JAKMIP1, a regulator of neuronal translation that was recently found deleted in a patient with autism spectrum disorder. Analyses of co-expression and biomedical text mining suggest that these pathologies and SMS are part of the same disease network. Further support for this hypothesis was obtained from transcriptome profiling that showed that the expression levels of both Zeb2 and Map2k2 are perturbed in Rai1 mice. As an orthogonal approach to potentially contributory disease gene variants, we used chromatin conformation capture to reveal chromatin contacts between RAI1 and the loci flanking ZEB2 and GLDC, as well as between RAI1 and human orthologs of the genes that show perturbed expression in our Rai1 mouse model.

CONCLUSIONS: These holistic studies of RAI1 and its interactions allow insights into SMS and other disorders associated with intellectual disability and behavioral abnormalities. Our findings support a pan-genomic approach to the molecular diagnosis of a distinctive disorder.

}, keywords = {Animals, Embryo, Mammalian, Exome, Female, Gene Regulatory Networks, Genomics, Humans, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, Mutation, Phenotype, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, RNA, Messenger, Smith-Magenis Syndrome, Trans-Activators, Transcription Factors, Transcriptome}, issn = {1756-994X}, doi = {10.1186/s13073-016-0359-z}, author = {Loviglio, Maria Nicla and Beck, Christine R and White, Janson J and Leleu, Marion and Harel, Tamar and Guex, Nicolas and Niknejad, Anne and Bi, Weimin and Chen, Edward S and Crespo, Isaac and Yan, Jiong and Charng, Wu-Lin and Gu, Shen and Fang, Ping and Coban-Akdemir, Zeynep and Shaw, Chad A and Jhangiani, Shalini N and Muzny, Donna M and Gibbs, Richard A and Rougemont, Jacques and Xenarios, Ioannis and Lupski, James R and Reymond, Alexandre} } @article {121, title = {Genes that Affect Brain Structure and Function Identified by Rare Variant Analyses of Mendelian Neurologic Disease.}, journal = {Neuron}, volume = {88}, year = {2015}, month = {2015 Nov 04}, pages = {499-513}, abstract = {

Development of the human nervous system involves complex interactions among fundamental cellular processes and requires a multitude of genes, many of which remain to be associated with human disease. We applied whole exome sequencing to 128 mostly consanguineous families with neurogenetic disorders that often included brain malformations. Rare variant analyses for both single nucleotide variant (SNV) and copy number variant (CNV) alleles allowed for identification of 45 novel variants in 43 known disease genes, 41 candidate genes, and CNVs in 10 families, with an overall potential molecular cause identified in >85\% of families studied. Among the candidate genes identified, we found PRUNE, VARS, and DHX37 in multiple families and homozygous loss-of-function variants in AGBL2, SLC18A2, SMARCA1, UBQLN1, and CPLX1. Neuroimaging and in silico analysis of functional and expression proximity between candidate and known disease genes allowed for further understanding of genetic networks underlying specific types of brain malformations.

}, keywords = {Brain, Cohort Studies, Databases, Genetic, Female, Gene Regulatory Networks, Genetic Association Studies, Genetic Variation, Humans, Male, Mendelian Randomization Analysis, Nervous System Diseases, Pedigree}, issn = {1097-4199}, doi = {10.1016/j.neuron.2015.09.048}, author = {Karaca, Ender and Harel, Tamar and Pehlivan, Davut and Jhangiani, Shalini N and Gambin, Tomasz and Coban Akdemir, Zeynep and Gonzaga-Jauregui, Claudia and Erdin, Serkan and Bayram, Yavuz and Campbell, Ian M and Hunter, Jill V and Atik, Mehmed M and Van Esch, Hilde and Yuan, Bo and Wiszniewski, Wojciech and Isikay, Sedat and Yesil, G{\"o}zde and Yuregir, Ozge O and Tug Bozdogan, Sevcan and Aslan, Huseyin and Aydin, Hatip and Tos, Tulay and Aksoy, Ayse and De Vivo, Darryl C and Jain, Preti and Geckinli, B Bilge and Sezer, Ozlem and Gul, Davut and Durmaz, Burak and Cogulu, Ozgur and Ozkinay, Ferda and Topcu, Vehap and Candan, Sukru and Cebi, Alper Han and Ikbal, Mevlit and Yilmaz Gulec, Elif and Gezdirici, Alper and Koparir, Erkan and Ekici, Fatma and Coskun, Salih and Cicek, Salih and Karaer, Kadri and Koparir, Asuman and Duz, Mehmet Bugrahan and Kirat, Emre and Fenercioglu, Elif and Ulucan, Hakan and Seven, Mehmet and Guran, Tulay and Elcioglu, Nursel and Yildirim, Mahmut Selman and Aktas, Dilek and Alika{\c s}ifo{\u g}lu, Mehmet and Ture, Mehmet and Yakut, Tahsin and Overton, John D and Yuksel, Adnan and Ozen, Mustafa and Muzny, Donna M and Adams, David R and Boerwinkle, Eric and Chung, Wendy K and Gibbs, Richard A and Lupski, James R} } @article {268, title = {Exome sequencing links corticospinal motor neuron disease to common neurodegenerative disorders.}, journal = {Science}, volume = {343}, year = {2014}, month = {2014 Jan 31}, pages = {506-511}, abstract = {

Hereditary spastic paraplegias (HSPs) are neurodegenerative motor neuron diseases characterized by progressive age-dependent loss of corticospinal motor tract function. Although the genetic basis is partly understood, only a fraction of cases can receive a genetic diagnosis, and a global view of HSP is lacking. By using whole-exome sequencing in combination with network analysis, we identified 18 previously unknown putative HSP genes and validated nearly all of these genes functionally or genetically. The pathways highlighted by these mutations link HSP to cellular transport, nucleotide metabolism, and synapse and axon development. Network analysis revealed a host of further candidate genes, of which three were mutated in our cohort. Our analysis links HSP to other neurodegenerative disorders and can facilitate gene discovery and mechanistic understanding of disease.

}, keywords = {Animals, Axons, Biological Transport, Cohort Studies, Exome, Gene Regulatory Networks, Genetic Association Studies, Humans, Motor Neuron Disease, Mutation, Neurons, Nucleotides, Pyramidal Tracts, Sequence Analysis, DNA, Spastic Paraplegia, Hereditary, Synapses, Transcriptome, Zebrafish}, issn = {1095-9203}, doi = {10.1126/science.1247363}, author = {Novarino, Gaia and Fenstermaker, Ali G and Zaki, Maha S and Hofree, Matan and Silhavy, Jennifer L and Heiberg, Andrew D and Abdellateef, Mostafa and Rosti, Basak and Scott, Eric and Mansour, Lobna and Masri, Amira and Kayserili, H{\"u}lya and Al-Aama, Jumana Y and Abdel-Salam, Ghada M H and Karminejad, Ariana and Kara, Majdi and Kara, Bulent and Bozorgmehri, Bita and Ben-Omran, Tawfeg and Mojahedi, Faezeh and El Din Mahmoud, Iman Gamal and Bouslam, Naima and Bouhouche, Ahmed and Benomar, Ali and Hanein, Sylvain and Raymond, Laure and Forlani, Sylvie and Mascaro, Massimo and Selim, Laila and Shehata, Nabil and Al-Allawi, Nasir and Bindu, P S and Azam, Matloob and G{\"u}nel, Murat and Caglayan, Ahmet and Bilguvar, Kaya and Tolun, Aslihan and Issa, Mahmoud Y and Schroth, Jana and Spencer, Emily G and Rosti, Rasim O and Akizu, Naiara and Vaux, Keith K and Johansen, Anide and Koh, Alice A and Megahed, Hisham and Durr, Alexandra and Brice, Alexis and Stevanin, Giovanni and Gabriel, Stacy B and Ideker, Trey and Gleeson, Joseph G} } @article {225, title = {Increased frequency of de novo copy number variants in congenital heart disease by integrative analysis of single nucleotide polymorphism array and exome sequence data.}, journal = {Circ Res}, volume = {115}, year = {2014}, month = {2014 Oct 24}, pages = {884-896}, abstract = {

RATIONALE: Congenital heart disease (CHD) is among the most common birth defects. Most cases are of unknown pathogenesis.

OBJECTIVE: To determine the contribution of de novo copy number variants (CNVs) in the pathogenesis of sporadic CHD.

METHODS AND RESULTS: We studied 538 CHD trios using genome-wide dense single nucleotide polymorphism arrays and whole exome sequencing. Results were experimentally validated using digital droplet polymerase chain reaction. We compared validated CNVs in CHD cases with CNVs in 1301 healthy control trios. The 2 complementary high-resolution technologies identified 63 validated de novo CNVs in 51 CHD cases. A significant increase in CNV burden was observed when comparing CHD trios with healthy trios, using either single nucleotide polymorphism array (P=7{\texttimes}10(-5); odds ratio, 4.6) or whole exome sequencing data (P=6{\texttimes}10(-4); odds ratio, 3.5) and remained after removing 16\% of de novo CNV loci previously reported as pathogenic (P=0.02; odds ratio, 2.7). We observed recurrent de novo CNVs on 15q11.2 encompassing CYFIP1, NIPA1, and NIPA2 and single de novo CNVs encompassing DUSP1, JUN, JUP, MED15, MED9, PTPRE SREBF1, TOP2A, and ZEB2, genes that interact with established CHD proteins NKX2-5 and GATA4. Integrating de novo variants in whole exome sequencing and CNV data suggests that ETS1 is the pathogenic gene altered by 11q24.2-q25 deletions in Jacobsen syndrome and that CTBP2 is the pathogenic gene in 10q subtelomeric deletions.

CONCLUSIONS: We demonstrate a significantly increased frequency of rare de novo CNVs in CHD patients compared with healthy controls and suggest several novel genetic loci for CHD.

}, keywords = {Case-Control Studies, Cohort Studies, DNA Copy Number Variations, Exome, Gene Frequency, Gene Regulatory Networks, Heart Defects, Congenital, Humans, Molecular Sequence Data, Polymorphism, Single Nucleotide}, issn = {1524-4571}, doi = {10.1161/CIRCRESAHA.115.304458}, author = {Glessner, Joseph T and Bick, Alexander G and Ito, Kaoru and Homsy, Jason and Rodriguez-Murillo, Laura and Fromer, Menachem and Mazaika, Erica and Vardarajan, Badri and Italia, Michael and Leipzig, Jeremy and DePalma, Steven R and Golhar, Ryan and Sanders, Stephan J and Yamrom, Boris and Ronemus, Michael and Iossifov, Ivan and Willsey, A Jeremy and State, Matthew W and Kaltman, Jonathan R and White, Peter S and Shen, Yufeng and Warburton, Dorothy and Brueckner, Martina and Seidman, Christine and Goldmuntz, Elizabeth and Gelb, Bruce D and Lifton, Richard and Seidman, Jonathan and Hakonarson, Hakon and Chung, Wendy K} }