1,086 results on '"Hurles, Matthew"'
Search Results
2. De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome.
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Chen, Yuyang, Dawes, Ruebena, Kim, Hyung, Ljungdahl, Alicia, Stenton, Sarah, Walker, Susan, Lord, Jenny, Lemire, Gabrielle, Martin-Geary, Alexandra, Ganesh, Vijay, Ma, Jialan, Ellingford, Jamie, Delage, Erwan, DSouza, Elston, Dong, Shan, Adams, David, Allan, Kirsten, Bakshi, Madhura, Baldwin, Erin, Berger, Seth, Bernstein, Jonathan, Bhatnagar, Ishita, Blair, Ed, Brown, Natasha, Burrage, Lindsay, Chapman, Kimberly, Coman, David, Compton, Alison, Cunningham, Chloe, DSouza, Precilla, Danecek, Petr, Délot, Emmanuèle, Dias, Kerith-Rae, Elias, Ellen, Elmslie, Frances, Evans, Care-Anne, Ewans, Lisa, Ezell, Kimberly, Fraser, Jamie, Gallacher, Lyndon, Genetti, Casie, Goriely, Anne, Grant, Christina, Haack, Tobias, Higgs, Jenny, Hinch, Anjali, Hurles, Matthew, Kuechler, Alma, Lachlan, Katherine, Lalani, Seema, Lecoquierre, François, Leitão, Elsa, Fevre, Anna, Leventer, Richard, Liebelt, Jan, Lindsay, Sarah, Lockhart, Paul, Ma, Alan, Macnamara, Ellen, Mansour, Sahar, Maurer, Taylor, Mendez, Hector, Metcalfe, Kay, Montgomery, Stephen, Moosajee, Mariya, Nassogne, Marie-Cécile, Neumann, Serena, ODonoghue, Michael, OLeary, Melanie, Palmer, Elizabeth, Pattani, Nikhil, Phillips, John, Pitsava, Georgia, Pysar, Ryan, Rehm, Heidi, Reuter, Chloe, Revencu, Nicole, Riess, Angelika, Rius, Rocio, Rodan, Lance, Roscioli, Tony, Rosenfeld, Jill, Sachdev, Rani, Shaw-Smith, Charles, Simons, Cas, Sisodiya, Sanjay, Snell, Penny, St Clair, Laura, Stark, Zornitza, Stewart, Helen, Tan, Tiong, Tan, Natalie, Temple, Suzanna, Thorburn, David, Tifft, Cynthia, Uebergang, Eloise, VanNoy, Grace, Vasudevan, Pradeep, Vilain, Eric, and Viskochil, David
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Humans ,RNA ,Small Nuclear ,Neurodevelopmental Disorders ,Female ,Male ,Brain ,Heterozygote ,Alleles ,Syndrome ,Spliceosomes ,Animals - Abstract
Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of variation in the general population, but in which we identify heterozygous variants in 115 individuals with NDD. Most individuals (77.4%) have the same highly recurrent single base insertion (n.64_65insT). In 54 individuals in whom it could be determined, the de novo variants were all on the maternal allele. We demonstrate that RNU4-2 is highly expressed in the developing human brain, in contrast to RNU4-1 and other U4 homologues. Using RNA sequencing, we show how 5 splice-site use is systematically disrupted in individuals with RNU4-2 variants, consistent with the known role of this region during spliceosome activation. Finally, we estimate that variants in this 18 base pair region explain 0.4% of individuals with NDD. This work underscores the importance of non-coding genes in rare disorders and will provide a diagnosis to thousands of individuals with NDD worldwide.
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- 2024
3. Federated analysis of autosomal recessive coding variants in 29,745 developmental disorder patients from diverse populations
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Chundru, V. Kartik, Zhang, Zhancheng, Walter, Klaudia, Lindsay, Sarah J., Danecek, Petr, Eberhardt, Ruth Y., Gardner, Eugene J., Malawsky, Daniel S., Wigdor, Emilie M., Torene, Rebecca, Retterer, Kyle, Wright, Caroline F., Ólafsdóttir, Hildur, Guillen Sacoto, Maria J., Ayaz, Akif, Akbeyaz, Ismail Hakki, Türkdoğan, Dilşad, Al Balushi, Aaisha Ibrahim, Bertoli-Avella, Aida, Bauer, Peter, Szenker-Ravi, Emmanuelle, Reversade, Bruno, McWalter, Kirsty, Sheridan, Eamonn, Firth, Helen V., Hurles, Matthew E., Samocha, Kaitlin E., Ustach, Vincent D., and Martin, Hilary C.
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- 2024
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4. Genetic links between ovarian ageing, cancer risk and de novo mutation rates
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Stankovic, Stasa, Shekari, Saleh, Huang, Qin Qin, Gardner, Eugene J., Ivarsdottir, Erna V., Owens, Nick D. L., Mavaddat, Nasim, Azad, Ajuna, Hawkes, Gareth, Kentistou, Katherine A., Beaumont, Robin N., Day, Felix R., Zhao, Yajie, Jonsson, Hakon, Rafnar, Thorunn, Tragante, Vinicius, Sveinbjornsson, Gardar, Oddsson, Asmundur, Styrkarsdottir, Unnur, Gudmundsson, Julius, Stacey, Simon N., Gudbjartsson, Daniel F., Kennedy, Kitale, Wood, Andrew R., Weedon, Michael N., Ong, Ken K., Wright, Caroline F., Hoffmann, Eva R., Sulem, Patrick, Hurles, Matthew E., Ruth, Katherine S., Martin, Hilary C., Stefansson, Kari, Perry, John R. B., and Murray, Anna
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- 2024
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5. Investigating the role of common cis-regulatory variants in modifying penetrance of putatively damaging, inherited variants in severe neurodevelopmental disorders
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Wigdor, Emilie M., Samocha, Kaitlin E., Eberhardt, Ruth Y., Chundru, V. Kartik, Firth, Helen V., Wright, Caroline F., Hurles, Matthew E., and Martin, Hilary C.
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- 2024
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6. Saturation genome editing of BAP1 functionally classifies somatic and germline variants
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Waters, Andrew J., Brendler-Spaeth, Timothy, Smith, Danielle, Offord, Victoria, Tan, Hong Kee, Zhao, Yajie, Obolenski, Sofia, Nielsen, Maartje, van Doorn, Remco, Murphy, Jo-Ellen, Gupta, Prashant, Rowlands, Charlie F., Hanson, Helen, Delage, Erwan, Thomas, Mark, Radford, Elizabeth J., Gerety, Sebastian S., Turnbull, Clare, Perry, John R. B., Hurles, Matthew E., and Adams, David J.
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- 2024
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7. An Atlas of Variant Effects to understand the genome at nucleotide resolution.
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Fowler, Douglas, Adams, David, Gloyn, Anna, Hahn, William, Marks, Debora, Muffley, Lara, Neal, James, Roth, Frederick, Rubin, Alan, Starita, Lea, and Hurles, Matthew
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Functional genomics ,Genome interpretation ,Global alliance ,Multiplexed assay of variant effect ,Saturation mutagenesis ,Variant effect ,Humans ,Genetic Variation ,Genomics ,Genome ,Human ,High-Throughput Nucleotide Sequencing ,Precision Medicine - Abstract
Sequencing has revealed hundreds of millions of human genetic variants, and continued efforts will only add to this variant avalanche. Insufficient information exists to interpret the effects of most variants, limiting opportunities for precision medicine and comprehension of genome function. A solution lies in experimental assessment of the functional effect of variants, which can reveal their biological and clinical impact. However, variant effect assays have generally been undertaken reactively for individual variants only after and, in most cases long after, their first observation. Now, multiplexed assays of variant effect can characterise massive numbers of variants simultaneously, yielding variant effect maps that reveal the function of every possible single nucleotide change in a gene or regulatory element. Generating maps for every protein encoding gene and regulatory element in the human genome would create an Atlas of variant effect maps and transform our understanding of genetics and usher in a new era of nucleotide-resolution functional knowledge of the genome. An Atlas would reveal the fundamental biology of the human genome, inform human evolution, empower the development and use of therapeutics and maximize the utility of genomics for diagnosing and treating disease. The Atlas of Variant Effects Alliance is an international collaborative group comprising hundreds of researchers, technologists and clinicians dedicated to realising an Atlas of Variant Effects to help deliver on the promise of genomics.
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- 2023
8. Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023
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Allen, Sophie, Garrett, Alice, Muffley, Lara, Fayer, Shawn, Foreman, Julia, Adams, David J., Hurles, Matthew, Rubin, Alan F., Roth, Frederick P., Starita, Lea M., Biesecker, Leslie G., and Turnbull, Clare
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- 2024
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9. Using Organoids to Model Sex Differences in the Human Brain
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Baron-Cohen, Simon, Allison, Carrie, Warrier, Varun, Tsompanidis, Alex, Adhya, Dwaipayan, Holt, Rosie, Smith, Paula, Parsons, Tracey, Davis, Joanna, Hassall, Matthew, Geschwind, Daniel H., Heazell, Alexander EP., Mill, Jonathan, Franklin, Alice, Bamford, Rosie, Davies, Jonathan, Hurles, Matthew E., Martin, Hilary C., Mousa, Mahmoud, Rowitch, David H., Niakan, Kathy K., Burton, Graham J., Ghafari, Fateneh, Srivastava, Deepak P., Dutan-Polit, Lucia, Pavlinek, Adam, Lancaster, Madeline A., Chiaradia, Ilaria, Biron-Shental, Tal, Gabis, Lidia V., Vernon, Anthony C., and Lancaster, Madeline
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- 2024
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10. The impact of rare protein coding genetic variation on adult cognitive function
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Chen, Chia-Yen, Tian, Ruoyu, Ge, Tian, Lam, Max, Sanchez-Andrade, Gabriela, Singh, Tarjinder, Urpa, Lea, Liu, Jimmy Z., Sanderson, Mark, Rowley, Christine, Ironfield, Holly, Fang, Terry, Daly, Mark, Palotie, Aarno, Tsai, Ellen A., Huang, Hailiang, Hurles, Matthew E., Gerety, Sebastian S., Lencz, Todd, and Runz, Heiko
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- 2023
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11. Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation
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Radford, Elizabeth J., Tan, Hong-Kee, Andersson, Malin H. L., Stephenson, James D., Gardner, Eugene J., Ironfield, Holly, Waters, Andrew J., Gitterman, Daniel, Lindsay, Sarah, Abascal, Federico, Martincorena, Iñigo, Kolesnik-Taylor, Anna, Ng-Cordell, Elise, Firth, Helen V., Baker, Kate, Perry, John R. B., Adams, David J., Gerety, Sebastian S., and Hurles, Matthew E.
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- 2023
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12. Rare genetic variants impact muscle strength
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Huang, Yunfeng, Bodnar, Dora, Chen, Chia-Yen, Sanchez-Andrade, Gabriela, Sanderson, Mark, Shi, Jun, Meilleur, Katherine G., Hurles, Matthew E., Gerety, Sebastian S., Tsai, Ellen A., and Runz, Heiko
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- 2023
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13. Detection and characterization of copy-number variants from exome sequencing in the DDD study
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Danecek, Petr, Gardner, Eugene J., Fitzgerald, Tomas W., Gallone, Giuseppe, Kaplanis, Joanna, Eberhardt, Ruth Y., Wright, Caroline F., Firth, Helen V., and Hurles, Matthew E.
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- 2024
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14. Detection of mosaic chromosomal alterations in children with severe developmental disorders recruited to the DDD study
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Eberhardt, Ruth Y., Wright, Caroline F., FitzPatrick, David R., Hurles, Matthew E., and Firth, Helen V.
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- 2023
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15. Gain-of-function mutations in KCNK3 cause a developmental disorder with sleep apnea
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Sörmann, Janina, Schewe, Marcus, Proks, Peter, Jouen-Tachoire, Thibault, Rao, Shanlin, Riel, Elena B., Agre, Katherine E., Begtrup, Amber, Dean, John, Descartes, Maria, Fischer, Jan, Gardham, Alice, Lahner, Carrie, Mark, Paul R., Muppidi, Srikanth, Pichurin, Pavel N., Porrmann, Joseph, Schallner, Jens, Smith, Kirstin, Straub, Volker, Vasudevan, Pradeep, Willaert, Rebecca, Carpenter, Elisabeth P., Rödström, Karin E. J., Hahn, Michael G., Müller, Thomas, Baukrowitz, Thomas, Hurles, Matthew E., Wright, Caroline F., and Tucker, Stephen J.
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- 2022
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16. Genetic correlates of phenotypic heterogeneity in autism
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Warrier, Varun, Zhang, Xinhe, Reed, Patrick, Havdahl, Alexandra, Moore, Tyler M., Cliquet, Freddy, Leblond, Claire S., Rolland, Thomas, Rosengren, Anders, Rowitch, David H., Hurles, Matthew E., Geschwind, Daniel H., Børglum, Anders D., Robinson, Elise B., Grove, Jakob, Martin, Hilary C., Bourgeron, Thomas, and Baron-Cohen, Simon
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- 2022
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17. A cross-disorder dosage sensitivity map of the human genome
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Metspalu, Andres, Mägi, Reedik, Nelis, Mari, Milani, Lili, Esko, Tõnu, Collins, Ryan L., Glessner, Joseph T., Porcu, Eleonora, Lepamets, Maarja, Brandon, Rhonda, Lauricella, Christopher, Han, Lide, Morley, Theodore, Niestroj, Lisa-Marie, Ulirsch, Jacob, Everett, Selin, Howrigan, Daniel P., Boone, Philip M., Fu, Jack, Karczewski, Konrad J., Kellaris, Georgios, Lowther, Chelsea, Lucente, Diane, Mohajeri, Kiana, Nõukas, Margit, Nuttle, Xander, Samocha, Kaitlin E., Trinh, Mi, Ullah, Farid, Võsa, Urmo, Hurles, Matthew E., Aradhya, Swaroop, Davis, Erica E., Finucane, Hilary, Gusella, James F., Janze, Aura, Katsanis, Nicholas, Matyakhina, Ludmila, Neale, Benjamin M., Sanders, David, Warren, Stephanie, Hodge, Jennelle C., Lal, Dennis, Ruderfer, Douglas M., Meck, Jeanne, Reymond, Alexandre, Kutalik, Zoltán, Hakonarson, Hakon, Sunyaev, Shamil, Brand, Harrison, and Talkowski, Michael E.
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- 2022
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18. The Gene Curation Coalition: A global effort to harmonize gene–disease evidence resources
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DiStefano, Marina T., Goehringer, Scott, Babb, Lawrence, Alkuraya, Fowzan S., Amberger, Joanna, Amin, Mutaz, Austin-Tse, Christina, Balzotti, Marie, Berg, Jonathan S., Birney, Ewan, Bocchini, Carol, Bruford, Elspeth A., Coffey, Alison J., Collins, Heather, Cunningham, Fiona, Daugherty, Louise C., Einhorn, Yaron, Firth, Helen V., Fitzpatrick, David R., Foulger, Rebecca E., Goldstein, Jennifer, Hamosh, Ada, Hurles, Matthew R., Leigh, Sarah E., Leong, Ivone U.S., Maddirevula, Sateesh, Martin, Christa L., McDonagh, Ellen M., Olry, Annie, Puzriakova, Arina, Radtke, Kelly, Ramos, Erin M., Rath, Ana, Riggs, Erin Rooney, Roberts, Angharad M., Rodwell, Charlotte, Snow, Catherine, Stark, Zornitza, Tahiliani, Jackie, Tweedie, Susan, Ware, James S., Weller, Phillip, Williams, Eleanor, Wright, Caroline F., Yates, Thabo Michael, and Rehm, Heidi L.
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- 2022
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19. Methods applied to neonatal dried blood spot samples for secondary research purposes: a scoping review.
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Canning, Jordan, Strawbridge, Rona J., Miedzybrodzka, Zosia, Marioni, Riccardo E., Melbye, Mads, Porteous, David J., Hurles, Matthew E., Sattar, Naveed, Sudlow, Cathie L. M., Collins, Rory, Padmanabhan, Sandosh, and Pell, Jill P.
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MEDICAL information storage & retrieval systems ,BLOOD chemical analysis ,RESEARCH funding ,BLOOD collection ,CINAHL database ,IMMUNOGLOBULINS ,DESCRIPTIVE statistics ,SYSTEMATIC reviews ,MEDLINE ,MEDICAL research ,MEDICAL databases ,NUCLEIC acids ,POLLUTANTS ,AMINO acids ,ONLINE information services ,TEMPERATURE - Abstract
This scoping review aimed to synthesize the analytical techniques used and methodological limitations encountered when undertaking secondary research using residual neonatal dried blood spot (DBS) samples. Studies that used residual neonatal DBS samples for secondary research (i.e. research not related to newborn screening for inherited genetic and metabolic disorders) were identified from six electronic databases: Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Medline, PubMed and Scopus. Inclusion was restricted to studies published from 1973 and written in or translated into English that reported the storage, extraction and testing of neonatal DBS samples. Sixty-seven studies were eligible for inclusion. Included studies were predominantly methodological in nature and measured various analytes, including nucleic acids, proteins, metabolites, environmental pollutants, markers of prenatal substance use and medications. Neonatal DBS samples were stored over a range of temperatures (ambient temperature, cold storage or frozen) and durations (two weeks to 40.5 years), both of which impacted the recovery of some analytes, particularly amino acids, antibodies and environmental pollutants. The size of DBS sample used and potential contamination were also cited as methodological limitations. Residual neonatal DBS samples retained by newborn screening programs are a promising resource for secondary research purposes, with many studies reporting the successful measurement of analytes even from neonatal DBS samples stored for long periods of time in suboptimal temperatures and conditions. [ABSTRACT FROM AUTHOR]
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- 2024
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20. Genetic and chemotherapeutic influences on germline hypermutation
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Kaplanis, Joanna, Ide, Benjamin, Sanghvi, Rashesh, Neville, Matthew, Danecek, Petr, Coorens, Tim, Prigmore, Elena, Short, Patrick, Gallone, Giuseppe, McRae, Jeremy, Carmichael, Jenny, Barnicoat, Angela, Firth, Helen, O’Brien, Patrick, Rahbari, Raheleh, and Hurles, Matthew
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- 2022
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21. Reduced reproductive success is associated with selective constraint on human genes
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Gardner, Eugene J., Neville, Matthew D. C., Samocha, Kaitlin E., Barclay, Kieron, Kolk, Martin, Niemi, Mari E. K., Kirov, George, Martin, Hilary C., and Hurles, Matthew E.
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- 2022
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22. Registered access: authorizing data access
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Dyke, Stephanie OM, Linden, Mikael, Lappalainen, Ilkka, De Argila, Jordi Rambla, Carey, Knox, Lloyd, David, Spalding, J Dylan, Cabili, Moran N, Kerry, Giselle, Foreman, Julia, Cutts, Tim, Shabani, Mahsa, Rodriguez, Laura L, Haeussler, Maximilian, Walsh, Brian, Jiang, Xiaoqian, Wang, Shuang, Perrett, Daniel, Boughtwood, Tiffany, Matern, Andreas, Brookes, Anthony J, Cupak, Miro, Fiume, Marc, Pandya, Ravi, Tulchinsky, Ilia, Scollen, Serena, Törnroos, Juha, Das, Samir, Evans, Alan C, Malin, Bradley A, Beck, Stephan, Brenner, Steven E, Nyrönen, Tommi, Blomberg, Niklas, Firth, Helen V, Hurles, Matthew, Philippakis, Anthony A, Rätsch, Gunnar, Brudno, Michael, Boycott, Kym M, Rehm, Heidi L, Baudis, Michael, Sherry, Stephen T, Kato, Kazuto, Knoppers, Bartha M, Baker, Dixie, and Flicek, Paul
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Biological Sciences ,Biomedical and Clinical Sciences ,Clinical Sciences ,Genetics ,8.3 Policy ,ethics ,and research governance ,Health and social care services research ,Generic health relevance ,Good Health and Well Being ,Access to Information ,Genetics ,Medical ,Genomics ,Humans ,Information Dissemination ,Licensure ,Practice Guidelines as Topic ,Genetics & Heredity ,Clinical sciences - Abstract
The Global Alliance for Genomics and Health (GA4GH) proposes a data access policy model-"registered access"-to increase and improve access to data requiring an agreement to basic terms and conditions, such as the use of DNA sequence and health data in research. A registered access policy would enable a range of categories of users to gain access, starting with researchers and clinical care professionals. It would also facilitate general use and reuse of data but within the bounds of consent restrictions and other ethical obligations. In piloting registered access with the Scientific Demonstration data sharing projects of GA4GH, we provide additional ethics, policy and technical guidance to facilitate the implementation of this access model in an international setting.
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- 2018
23. De novo mutations in regulatory elements in neurodevelopmental disorders.
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Short, Patrick J, McRae, Jeremy F, Gallone, Giuseppe, Sifrim, Alejandro, Won, Hyejung, Geschwind, Daniel H, Wright, Caroline F, Firth, Helen V, FitzPatrick, David R, Barrett, Jeffrey C, and Hurles, Matthew E
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Brain ,Fetus ,Humans ,Developmental Disabilities ,Evolution ,Molecular ,Regulatory Sequences ,Nucleic Acid ,Conserved Sequence ,Mutation ,Female ,Male ,Exome ,Neurodevelopmental Disorders ,Evolution ,Molecular ,Regulatory Sequences ,Nucleic Acid ,MD Multidisciplinary ,General Science & Technology - Abstract
We previously estimated that 42% of patients with severe developmental disorders carry pathogenic de novo mutations in coding sequences. The role of de novo mutations in regulatory elements affecting genes associated with developmental disorders, or other genes, has been essentially unexplored. We identified de novo mutations in three classes of putative regulatory elements in almost 8,000 patients with developmental disorders. Here we show that de novo mutations in highly evolutionarily conserved fetal brain-active elements are significantly and specifically enriched in neurodevelopmental disorders. We identified a significant twofold enrichment of recurrently mutated elements. We estimate that, genome-wide, 1-3% of patients without a diagnostic coding variant carry pathogenic de novo mutations in fetal brain-active regulatory elements and that only 0.15% of all possible mutations within highly conserved fetal brain-active elements cause neurodevelopmental disorders with a dominant mechanism. Our findings represent a robust estimate of the contribution of de novo mutations in regulatory elements to this genetically heterogeneous set of disorders, and emphasize the importance of combining functional and evolutionary evidence to identify regulatory causes of genetic disorders.
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- 2018
24. Non-coding region variants upstream of MEF2C cause severe developmental disorder through three distinct loss-of-function mechanisms
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Wright, Caroline F., Quaife, Nicholas M., Ramos-Hernández, Laura, Danecek, Petr, Ferla, Matteo P., Samocha, Kaitlin E., Kaplanis, Joanna, Gardner, Eugene J., Eberhardt, Ruth Y., Chao, Katherine R., Karczewski, Konrad J., Morales, Joannella, Gallone, Giuseppe, Balasubramanian, Meena, Banka, Siddharth, Gompertz, Lianne, Kerr, Bronwyn, Kirby, Amelia, Lynch, Sally A., Morton, Jenny E.V., Pinz, Hailey, Sansbury, Francis H., Stewart, Helen, Zuccarelli, Britton D., Cook, Stuart A., Taylor, Jenny C., Juusola, Jane, Retterer, Kyle, Firth, Helen V., Hurles, Matthew E., Lara-Pezzi, Enrique, Barton, Paul J.R., and Whiffin, Nicola
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- 2021
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25. Somatic mutations reveal asymmetric cellular dynamics in the early human embryo.
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Ju, Young Seok, Martincorena, Inigo, Gerstung, Moritz, Petljak, Mia, Alexandrov, Ludmil B, Rahbari, Raheleh, Wedge, David C, Davies, Helen R, Ramakrishna, Manasa, Fullam, Anthony, Martin, Sancha, Alder, Christopher, Patel, Nikita, Gamble, Steve, O'Meara, Sarah, Giri, Dilip D, Sauer, Torril, Pinder, Sarah E, Purdie, Colin A, Borg, Åke, Stunnenberg, Henk, van de Vijver, Marc, Tan, Benita KT, Caldas, Carlos, Tutt, Andrew, Ueno, Naoto T, van 't Veer, Laura J, Martens, John WM, Sotiriou, Christos, Knappskog, Stian, Span, Paul N, Lakhani, Sunil R, Eyfjörd, Jórunn Erla, Børresen-Dale, Anne-Lise, Richardson, Andrea, Thompson, Alastair M, Viari, Alain, Hurles, Matthew E, Nik-Zainal, Serena, Campbell, Peter J, and Stratton, Michael R
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Blood Cells ,Humans ,Mutagenesis ,Cell Lineage ,Embryonic Development ,Mutation ,Mosaicism ,Germ-Line Mutation ,Genome ,Human ,Adult ,Embryo ,Mammalian ,Mutation Rate ,Embryo ,Mammalian ,Genome ,Human ,General Science & Technology - Abstract
Somatic cells acquire mutations throughout the course of an individual's life. Mutations occurring early in embryogenesis are often present in a substantial proportion of, but not all, cells in postnatal humans and thus have particular characteristics and effects. Depending on their location in the genome and the proportion of cells they are present in, these mosaic mutations can cause a wide range of genetic disease syndromes and predispose carriers to cancer. They have a high chance of being transmitted to offspring as de novo germline mutations and, in principle, can provide insights into early human embryonic cell lineages and their contributions to adult tissues. Although it is known that gross chromosomal abnormalities are remarkably common in early human embryos, our understanding of early embryonic somatic mutations is very limited. Here we use whole-genome sequences of normal blood from 241 adults to identify 163 early embryonic mutations. We estimate that approximately three base substitution mutations occur per cell per cell-doubling event in early human embryogenesis and these are mainly attributable to two known mutational signatures. We used the mutations to reconstruct developmental lineages of adult cells and demonstrate that the two daughter cells of many early embryonic cell-doubling events contribute asymmetrically to adult blood at an approximately 2:1 ratio. This study therefore provides insights into the mutation rates, mutational processes and developmental outcomes of cell dynamics that operate during early human embryogenesis.
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- 2017
26. Evaluating variants classified as pathogenic in ClinVar in the DDD Study
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Wright, Caroline F., Eberhardt, Ruth Y., Constantinou, Panayiotis, Hurles, Matthew E., FitzPatrick, David R., and Firth, Helen V.
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- 2021
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27. Germline variants in HEY2 functional domains lead to congenital heart defects and thoracic aortic aneurysms
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van Walree, Eva S., Dombrowsky, Gregor, Jansen, Iris E., Mirkov, Maša Umićević, Zwart, Rob, Ilgun, Aho, Guo, Dongchuan, Clur, Sally-Ann B., Amin, Ahmed S., Savage, Jeanne E., van der Wal, Allard C., Waisfisz, Quinten, Maugeri, Alessandra, Wilsdon, Anna, Bu’Lock, Frances A., Hurles, Matthew E., Dittrich, Sven, Berger, Felix, Audain Martinez, Enrique, Christoffels, Vincent M., Hitz, Marc-Philip, Milewicz, Dianna M., Posthuma, Daniëlle, Meijers-Heijboer, Hanne, Postma, Alex V., and Mathijssen, Inge B.
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- 2021
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28. Population Structure, Stratification, and Introgression of Human Structural Variation
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Almarri, Mohamed A., Bergström, Anders, Prado-Martinez, Javier, Yang, Fengtang, Fu, Beiyuan, Dunham, Alistair S., Chen, Yuan, Hurles, Matthew E., Tyler-Smith, Chris, and Xue, Yali
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- 2020
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29. Dissecting the contribution of common variants to risk of rare neurodevelopmental conditions
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Huang, Qin Qin, primary, Wigdor, Emilie M, additional, Campbell, Patrick, additional, Malawsky, Daniel S, additional, Samocha, Kaitlin E, additional, Chundru, V Kartik, additional, Danecek, Petr, additional, Lindsay, Sarah, additional, Marchant, Thomas, additional, Musa, Mahmoud Koko, additional, Amanat, Sana, additional, Bonifanti, Davide, additional, Sheridan, Eamonn, additional, Radford, Elizabeth J, additional, Barrett, Jeffrey C, additional, Wright, Caroline F, additional, Firth, Helen V, additional, Warrier, Varun, additional, Young, Alexander Strudwick, additional, Hurles, Matthew, additional, and Martin, Hilary C, additional
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- 2024
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30. Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders
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Singh, Tarjinder, Kurki, Mitja I, Curtis, David, Purcell, Shaun M, Crooks, Lucy, McRae, Jeremy, Suvisaari, Jaana, Chheda, Himanshu, Blackwood, Douglas, Breen, Gerome, Pietiläinen, Olli, Gerety, Sebastian S, Ayub, Muhammad, Blyth, Moira, Cole, Trevor, Collier, David, Coomber, Eve L, Craddock, Nick, Daly, Mark J, Danesh, John, DiForti, Marta, Foster, Alison, Freimer, Nelson B, Geschwind, Daniel, Johnstone, Mandy, Joss, Shelagh, Kirov, Georg, Körkkö, Jarmo, Kuismin, Outi, Holmans, Peter, Hultman, Christina M, Iyegbe, Conrad, Lönnqvist, Jouko, Männikkö, Minna, McCarroll, Steve A, McGuffin, Peter, McIntosh, Andrew M, McQuillin, Andrew, Moilanen, Jukka S, Moore, Carmel, Murray, Robin M, Newbury-Ecob, Ruth, Ouwehand, Willem, Paunio, Tiina, Prigmore, Elena, Rees, Elliott, Roberts, David, Sambrook, Jennifer, Sklar, Pamela, Clair, David St, Veijola, Juha, Walters, James TR, Williams, Hywel, Sullivan, Patrick F, Hurles, Matthew E, O'Donovan, Michael C, Palotie, Aarno, Owen, Michael J, and Barrett, Jeffrey C
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Biological Psychology ,Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Psychology ,Genetics ,Serious Mental Illness ,Human Genome ,Schizophrenia ,Biotechnology ,Brain Disorders ,Mental Health ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Case-Control Studies ,Cohort Studies ,Female ,Finland ,Genetic Association Studies ,Genetic Predisposition to Disease ,Genetic Variation ,Histone-Lysine N-Methyltransferase ,Humans ,Male ,Neurodevelopmental Disorders ,Swedish Schizophrenia Study ,INTERVAL Study ,DDD Study ,UK10 K Consortium ,Neurosciences ,Cognitive Sciences ,Neurology & Neurosurgery ,Biological psychology - Abstract
By analyzing the whole-exome sequences of 4,264 schizophrenia cases, 9,343 controls and 1,077 trios, we identified a genome-wide significant association between rare loss-of-function (LoF) variants in SETD1A and risk for schizophrenia (P = 3.3 × 10(-9)). We found only two heterozygous LoF variants in 45,376 exomes from individuals without a neuropsychiatric diagnosis, indicating that SETD1A is substantially depleted of LoF variants in the general population. Seven of the ten individuals with schizophrenia carrying SETD1A LoF variants also had learning difficulties. We further identified four SETD1A LoF carriers among 4,281 children with severe developmental disorders and two more carriers in an independent sample of 5,720 Finnish exomes, both with notable neuropsychiatric phenotypes. Together, our observations indicate that LoF variants in SETD1A cause a range of neurodevelopmental disorders, including schizophrenia. Combining these data with previous common variant evidence, we suggest that epigenetic dysregulation, specifically in the histone H3K4 methylation pathway, is an important mechanism in the pathogenesis of schizophrenia.
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- 2016
31. The Matchmaker Exchange: A Platform for Rare Disease Gene Discovery
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Philippakis, Anthony A, Azzariti, Danielle R, Beltran, Sergi, Brookes, Anthony J, Brownstein, Catherine A, Brudno, Michael, Brunner, Han G, Buske, Orion J, Carey, Knox, Doll, Cassie, Dumitriu, Sergiu, Dyke, Stephanie OM, den Dunnen, Johan T, Firth, Helen V, Gibbs, Richard A, Girdea, Marta, Gonzalez, Michael, Haendel, Melissa A, Hamosh, Ada, Holm, Ingrid A, Huang, Lijia, Hurles, Matthew E, Hutton, Ben, Krier, Joel B, Misyura, Andriy, Mungall, Christopher J, Paschall, Justin, Paten, Benedict, Robinson, Peter N, Schiettecatte, François, Sobreira, Nara L, Swaminathan, Ganesh J, Taschner, Peter E, Terry, Sharon F, Washington, Nicole L, Züchner, Stephan, Boycott, Kym M, and Rehm, Heidi L
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Biological Sciences ,Genetics ,Rare Diseases ,Database Management Systems ,Databases ,Genetic ,Genetic Association Studies ,Genetic Predisposition to Disease ,Humans ,Information Dissemination ,Software ,matchmaking ,rare disease ,genomic API ,gene discovery ,Matchmaker Exchange ,GA4GH ,IRDiRC ,Clinical Sciences ,Genetics & Heredity ,Clinical sciences - 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.
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- 2015
32. A global reference for human genetic variation
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Auton, Adam, Abecasis, Gonçalo R, Altshuler, David M, Durbin, Richard M, Bentley, David R, Chakravarti, Aravinda, Clark, Andrew G, Donnelly, Peter, Eichler, Evan E, Flicek, Paul, Gabriel, Stacey B, Gibbs, Richard A, Green, Eric D, Hurles, Matthew E, Knoppers, Bartha M, Korbel, Jan O, Lander, Eric S, Lee, Charles, Lehrach, Hans, Mardis, Elaine R, Marth, Gabor T, McVean, Gil A, Nickerson, Deborah A, Schmidt, Jeanette P, Sherry, Stephen T, Wang, Jun, Wilson, Richard K, Barnes, Kathleen C, Beiswanger, Christine, Burchard, Esteban G, Bustamante, Carlos D, Cai, Hongyu, Cao, Hongzhi, Gerry, Norman P, Gharani, Neda, Gignoux, Christopher R, Gravel, Simon, Henn, Brenna, Jones, Danielle, Jorde, Lynn, Kaye, Jane S, Keinan, Alon, Kent, Alastair, Kerasidou, Angeliki, Li, Yingrui, Mathias, Rasika, Moreno-Estrada, Andres, Ossorio, Pilar N, Parker, Michael, Resch, Alissa M, Rotimi, Charles N, Royal, Charmaine D, Sandoval, Karla, Su, Yeyang, Sudbrak, Ralf, Tian, Zhongming, Tishkoff, Sarah, Toji, Lorraine H, Tyler-Smith, Chris, Via, Marc, Wang, Yuhong, Yang, Huanming, Yang, Ling, Zhu, Jiayong, Brooks, Lisa D, Felsenfeld, Adam L, McEwen, Jean E, Vaydylevich, Yekaterina, Duncanson, Audrey, Dunn, Michael, Schloss, Jeffery A, Garrison, Erik P, Min Kang, Hyun, Marchini, Jonathan L, and McCarthy, Shane
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Human Genome ,Genetics ,Biotechnology ,2.1 Biological and endogenous factors ,Aetiology ,Datasets as Topic ,Demography ,Disease Susceptibility ,Exome ,Genetic Variation ,Genetics ,Medical ,Genetics ,Population ,Genome ,Human ,Genome-Wide Association Study ,Genomics ,Genotype ,Haplotypes ,High-Throughput Nucleotide Sequencing ,Humans ,INDEL Mutation ,Internationality ,Physical Chromosome Mapping ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Rare Diseases ,Reference Standards ,Sequence Analysis ,DNA ,Genomes Project Consortium ,General Science & Technology - Abstract
The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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- 2015
33. Finding Diagnostically Useful Patterns in Quantitative Phenotypic Data
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Fitzgerald, T.W., Gerety, S.S., Jones, W.D., van Kogelenberg, M., King, D.A., McRae, J., Morley, K.I., Parthiban, V., Al-Turki, S., Ambridge, K., Barrett, D.M., Bayzetinova, T., Clayton, S., Coomber, E.L., Gribble, S., Jones, P., Krishnappa, N., Mason, L.E., Middleton, A., Miller, R., Prigmore, E., Rajan, D., Sifrim, A., Tivey, A.R., Ahmed, M., Akawi, N., Andrews, R., Anjum, U., Archer, H., Armstrong, R., Balasubramanian, M., Banerjee, R., Barelle, D., Batstone, P., Baty, D., Bennett, C., Berg, J., Bernhard, B., Bevan, A.P., Blair, E., Blyth, M., Bohanna, D., Bourdon, L., Bourn, D., Brady, A., Bragin, E., Brewer, C., Brueton, L., Brunstrom, K., Bumpstead, S.J., Bunyan, D.J., Burn, J., Burton, J., Canham, N., Castle, B., Chandler, K., Clasper, S., Clayton-Smith, J., Cole, T., Collins, A., Collinson, M.N., Connell, F., Cooper, N., Cox, H., Cresswell, L., Cross, G., Crow, Y., D’Alessandro, P.M., Dabir, T., Davidson, R., Davies, S., Dean, J., Deshpande, C., Devlin, G., Dixit, A., Dominiczak, A., Donnelly, C., Donnelly, D., Douglas, A., Duncan, A., Eason, J., Edkins, S., Ellard, S., Ellis, P., Elmslie, F., Evans, K., Everest, S., Fendick, T., Fisher, R., Flinter, F., Foulds, N., Fryer, A., Fu, B., Gardiner, C., Gaunt, L., Ghali, N., Gibbons, R., Pereira, S.L. Gomes, Goodship, J., Goudie, D., Gray, E., Greene, P., Greenhalgh, L., Harrison, L., Hawkins, R., Hellens, S., Henderson, A., Hobson, E., Holden, S., Holder, S., Hollingsworth, G., Homfray, T., Humphreys, M., Hurst, J., Ingram, S., Irving, M., Jarvis, J., Jenkins, L., Johnson, D., Jones, D., Jones, E., Josifova, D., Joss, S., Kaemba, B., Kazembe, S., Kerr, B., Kini, U., Kinning, E., Kirby, G., Kirk, C., Kivuva, E., Kraus, A., Kumar, D., Lachlan, K., Lam, W., Lampe, A., Langman, C., Lees, M., Lim, D., Lowther, G., Lynch, S.A., Magee, A., Maher, E., Mansour, S., Marks, K., Martin, K., Maye, U., McCann, E., McConnell, V., McEntagart, M., McGowan, R., McKay, K., McKee, S., McMullan, D.J., McNerlan, S., Mehta, S., Metcalfe, K., Miles, E., Mohammed, S., Montgomery, T., Moore, D., Morgan, S., Morris, A., Morton, J., Mugalaasi, H., Murday, V., Nevitt, L., Newbury-Ecob, R., Norman, A., O’Shea, R., Ogilvie, C., Park, S., Parker, M.J., Patel, C., Paterson, J., Payne, S., Phipps, J., Pilz, D.T., Porteous, D., Pratt, N., Prescott, K., Price, S., Pridham, A., Proctor, A., Purnell, H., Ragge, N., Rankin, J., Raymond, L., Rice, D., Robert, L., Roberts, E., Roberts, G., Roberts, J., Roberts, P., Ross, A., Rosser, E., Saggar, A., Samant, S., Sandford, R., Sarkar, A., Schweiger, S., Scott, C., Scott, R., Selby, A., Seller, A., Sequeira, C., Shannon, N., Sharif, S., Shaw-Smith, C., Shearing, E., Shears, D., Simonic, I., Simpkin, D., Singzon, R., Skitt, Z., Smith, A., Smith, B., Smith, K., Smithson, S., Sneddon, L., Splitt, M., Squires, M., Stewart, F., Stewart, H., Suri, M., Sutton, V., Swaminathan, G.J., Sweeney, E., Tatton-Brown, K., Taylor, C., Taylor, R., Tein, M., Temple, I.K., Thomson, J., Tolmie, J., Torokwa, A., Treacy, B., Turner, C., Turnpenny, P., Tysoe, C., Vandersteen, A., Vasudevan, P., Vogt, J., Wakeling, E., Walker, D., Waters, J., Weber, A., Wellesley, D., Whiteford, M., Widaa, S., Wilcox, S., Williams, D., Williams, N., Woods, G., Wragg, C., Wright, M., Yang, F., Yau, M., Carter, N.P., Parker, M., Firth, H.V., FitzPatrick, D.R., Wright, C.F., Barrett, J.C., Hurles, M.E., Aitken, Stuart, Firth, Helen V., McRae, Jeremy, Halachev, Mihail, Kini, Usha, Parker, Michael J., Lees, Melissa M., Lachlan, Katherine, Sarkar, Ajoy, Joss, Shelagh, Splitt, Miranda, McKee, Shane, Németh, Andrea H., Scott, Richard H., Wright, Caroline F., Marsh, Joseph A., Hurles, Matthew E., and FitzPatrick, David R.
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- 2019
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34. Molecular autopsy by trio exome sequencing (ES) and postmortem examination in fetuses and neonates with prenatally identified structural anomalies
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Quinlan-Jones, Elizabeth, Lord, Jenny, Williams, Denise, Hamilton, Sue, Marton, Tamas, Eberhardt, Ruth Y., Rinck, Gabriele, Prigmore, Elena, Keelagher, Rebecca, McMullan, Dominic J., Maher, Eamonn R., Hurles, Matthew E., and Kilby, Mark D.
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- 2019
- Full Text
- View/download PDF
35. Prospective study design and data analysis in UK Biobank
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Allen, Naomi E., primary, Lacey, Ben, additional, Lawlor, Deborah A., additional, Pell, Jill P., additional, Gallacher, John, additional, Smeeth, Liam, additional, Elliott, Paul, additional, Matthews, Paul M., additional, Lyons, Ronan A., additional, Whetton, Anthony D., additional, Lucassen, Anneke, additional, Hurles, Matthew E., additional, Chapman, Michael, additional, Roddam, Andrew W., additional, Fitzpatrick, Natalie K., additional, Hansell, Anna L., additional, Hardy, Rebecca, additional, Marioni, Riccardo E., additional, O’Donnell, Valerie B., additional, Williams, Julie, additional, Lindgren, Cecilia M., additional, Effingham, Mark, additional, Sellors, Jonathan, additional, Danesh, John, additional, and Collins, Rory, additional
- Published
- 2024
- Full Text
- View/download PDF
36. Prenatal exome sequencing analysis in fetal structural anomalies detected by ultrasonography (PAGE): a cohort study
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Bateman, Mark, Berry, Ian R, Best, Sunayna K, Campbell, Carolyn, Campbell, Jenni, Carey, Georgina, Chandler, Kate E, Chitty, Lyn S, Cilliers, Deirdre, Cohen, Kelly, Collingwood, Emma, Constantinou, Panayiotis, Cresswell, Lara, Delmege, Catherine, Eberhardt, Ruth Y, Edwards, Sandra L, Ellis, Richard, Evans, Jerry, Everett, Thomas, Pinto, Clare F, Forrester, Natalie, Fowler, Emma, Gardiner, Carol, Hamilton, Susan, Healey, Karen, Henderson, Alex, Holden, Simon T, Homfray, Tessa, Hudson, Rebecca, Hurles, Matthew E, Jenkins, Lucy, Keelagher, Rebecca, Kilby, Mark D, Lester, Tracey, Lewis, Rebecca, Lord, Jenny, Maher, Eamonn R, Marton, Tamas, McMullan, Dominic J, Mehta, Sarju, Mellis, Rhiannon, Newbury-Ecob, Ruth, Park, Soo-Mi, Parker, Michael, Prescott, Katrina, Prigmore, Elena, Quarrell, Oliver W, Quinlan-Jones, Elizabeth, Ramsden, Simon C, Rinck, Gabriele, Robart, Sarah, Roberts, Eileen, Rowland, Jayne, Scott, Richard H, Steer, James, Tapon, Dagmar, Taylor, Emma J, Tooley, Madeleine J, Vasudevan, Pradeep C, Weber, Astrid P, Wellesley, Diana G, Westwood, Paul, White, Helen, Williams, Denise, Wilson, Elizabeth, Hamilton, Susan J, Carey, Georgina K, Lester, Tracy, and Lewis, Rebecca A
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- 2019
- Full Text
- View/download PDF
37. Quantifying the contribution of recessive coding variation to developmental disorders
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Deciphering Developmental Disorders Study, Martin, Hilary C., Jones, Wendy D., McIntyre, Rebecca, Sanchez-Andrade, Gabriela, Sanderson, Mark, Stephenson, James D., Jones, Carla P., Handsaker, Juliet, Gallone, Giuseppe, Bruntraeger, Michaela, McRae, Jeremy F., Prigmore, Elena, Short, Patrick, Niemi, Mari, Kaplanis, Joanna, Radford, Elizabeth J., Akawi, Nadia, Balasubramanian, Meena, Dean, John, Horton, Rachel, Hulbert, Alice, Johnson, Diana S., Johnson, Katie, Kumar, Dhavendra, Lynch, Sally Ann, Mehta, Sarju G., Morton, Jenny, Parker, Michael J., Splitt, Miranda, Turnpenny, Peter D., Vasudevan, Pradeep C., Wright, Michael, Bassett, Andrew, Gerety, Sebastian S., Wright, Caroline F., FitzPatrick, David R., Firth, Helen V., Hurles, Matthew E., and Barrett, Jeffrey C.
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- 2018
38. Making new genetic diagnoses with old data: iterative reanalysis and reporting from genome-wide data in 1,133 families with developmental disorders
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Wright, Caroline F., McRae, Jeremy F., Clayton, Stephen, Gallone, Giuseppe, Aitken, Stuart, FitzGerald, Tomas W., Jones, Philip, Prigmore, Elena, Rajan, Diana, Lord, Jenny, Sifrim, Alejandro, Kelsell, Rosemary, Parker, Michael J., Barrett, Jeffrey C., Hurles, Matthew E., FitzPatrick, David R., and Firth, Helen V.
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- 2018
- Full Text
- View/download PDF
39. A brief history of human disease genetics
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Claussnitzer, Melina, Cho, Judy H., Collins, Rory, Cox, Nancy J., Dermitzakis, Emmanouil T., Hurles, Matthew E., and Kathiresan, Sekar
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Technology application ,Genetic aspects ,History ,Forecasts and trends ,Market trend/market analysis ,Diseases -- Genetic aspects -- History -- United States ,Human genetics -- History -- Technology application ,Genomics -- Forecasts and trends - Abstract
Author(s): Melina Claussnitzer [sup.1] [sup.2] [sup.3] , Judy H. Cho [sup.4] [sup.5] [sup.6] , Rory Collins [sup.7] [sup.8] , Nancy J. Cox [sup.9] , Emmanouil T. Dermitzakis [sup.10] [sup.11] , [...], A primary goal of human genetics is to identify DNA sequence variants that influence biomedical traits, particularly those related to the onset and progression of human disease. Over the past 25 years, progress in realizing this objective has been transformed by advances in technology, foundational genomic resources and analytical tools, and by access to vast amounts of genotype and phenotype data. Genetic discoveries have substantially improved our understanding of the mechanisms responsible for many rare and common diseases and driven development of novel preventative and therapeutic strategies. Medical innovation will increasingly focus on delivering care tailored to individual patterns of genetic predisposition. This Review describes progress in the study of human genetics, in which rapid advances in technology, foundational genomic resources and analytical tools have contributed to the understanding of the mechanisms responsible for many rare and common diseases and to preventative and therapeutic strategies for many of these conditions.
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- 2020
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40. Heterozygous Loss-of-Function Mutations in YAP1 Cause Both Isolated and Syndromic Optic Fissure Closure Defects
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Williamson, Kathleen A, Rainger, Joe, Floyd, James AB, Ansari, Morad, Meynert, Alison, Aldridge, Kishan V, Rainger, Jacqueline K, Anderson, Carl A, Moore, Anthony T, Hurles, Matthew E, Clarke, Angus, van Heyningen, Veronica, Verloes, Alain, Taylor, Martin S, Wilkie, Andrew OM, Consortium, UK10K, and FitzPatrick, David R
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Genetics ,Brain Disorders ,Clinical Research ,Biotechnology ,Dental/Oral and Craniofacial Disease ,2.1 Biological and endogenous factors ,Aetiology ,Adaptor Proteins ,Signal Transducing ,Adolescent ,Adult ,Aged ,Alleles ,Animals ,Cell Cycle Proteins ,Child ,Child ,Preschool ,Codon ,Nonsense ,Exome ,Eye Abnormalities ,Female ,Heterozygote ,Humans ,Introns ,Male ,Mice ,Middle Aged ,Nonsense Mediated mRNA Decay ,Pedigree ,Phenotype ,Phosphoproteins ,Transcription Factors ,Transcription Initiation Site ,YAP-Signaling Proteins ,Young Adult ,UK10K Consortium ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Exome sequence analysis of affected individuals from two families with autosomal-dominant inheritance of coloboma identified two different cosegregating heterozygous nonsense mutations (c.370C>T [p.Arg124*] and c. 1066G>T [p.Glu356*]) in YAP1. The phenotypes of the affected families differed in that one included no extraocular features and the other manifested with highly variable multisystem involvement, including hearing loss, intellectual disability, hematuria, and orofacial clefting. A combined LOD score of 4.2 was obtained for the association between YAP1 loss-of-function mutations and the phenotype in these families. YAP1 encodes an effector of the HIPPO-pathway-induced growth response, and whole-mount in situ hybridization in mouse embryos has shown that Yap1 is strongly expressed in the eye, brain, and fusing facial processes. RT-PCR showed that an alternative transcription start site (TSS) in intron 1 of YAP1 and Yap1 is widely used in human and mouse development, respectively. Transcripts from the alternative TSS are predicted to initiate at codon Met179 relative to the canonical transcript (RefSeq NM_001130145). In these alternative transcripts, the c.370C>T mutation in family 1305 is within the 5' UTR and cannot result in nonsense-mediated decay (NMD). The c. 1066G>T mutation in family 132 should result in NMD in transcripts from either TSS. Amelioration of the phenotype by the alternative transcripts provides a plausible explanation for the phenotypic differences between the families.
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- 2014
41. Loss of ADAMTS19 causes progressive non-syndromic heart valve disease
- Author
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Wünnemann, Florian, Ta-Shma, Asaf, Preuss, Christoph, Leclerc, Severine, van Vliet, Patrick Piet, Oneglia, Andrea, Thibeault, Maryse, Nordquist, Emily, Lincoln, Joy, Scharfenberg, Franka, Becker-Pauly, Christoph, Hofmann, Philipp, Hoff, Kirstin, Audain, Enrique, Kramer, Hans-Heiner, Makalowski, Wojciech, Nir, Amiram, Gerety, Sebastian S., Hurles, Matthew, Comes, Johanna, Fournier, Anne, Osinska, Hanna, Robins, Jeffrey, Pucéat, Michel, Elpeleg, Orly, Hitz, Marc-Phillip, and Andelfinger, Gregor
- Published
- 2020
- Full Text
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42. Mutations in the Gene Encoding IFT Dynein Complex Component WDR34 Cause Jeune Asphyxiating Thoracic Dystrophy
- Author
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Schmidts, Miriam, Vodopiutz, Julia, Christou-Savina, Sonia, Cortés, Claudio R, McInerney-Leo, Aideen M, Emes, Richard D, Arts, Heleen H, Tüysüz, Beyhan, D’Silva, Jason, Leo, Paul J, Giles, Tom C, Oud, Machteld M, Harris, Jessica A, Koopmans, Marije, Marshall, Mhairi, Elçioglu, Nursel, Kuechler, Alma, Bockenhauer, Detlef, Moore, Anthony T, Wilson, Louise C, Janecke, Andreas R, Hurles, Matthew E, Emmet, Warren, Gardiner, Brooke, Streubel, Berthold, Dopita, Belinda, Zankl, Andreas, Kayserili, Hülya, Scambler, Peter J, Brown, Matthew A, Beales, Philip L, Wicking, Carol, UK10K, Duncan, Emma L, and Mitchison, Hannah M
- Subjects
Rare Diseases ,Pediatric ,Underpinning research ,1.1 Normal biological development and functioning ,Generic health relevance ,Animals ,Asians ,Axoneme ,Carrier Proteins ,Child ,Chlamydomonas ,Cilia ,Cytoplasmic Dyneins ,Cytoskeleton ,Ellis-Van Creveld Syndrome ,Exome ,Exons ,Humans ,Infant ,Infant ,Newborn ,Intracellular Signaling Peptides and Proteins ,Mutation ,Protein Conformation ,Proteomics ,Whites ,UK10K ,Asian People ,White People ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Bidirectional (anterograde and retrograde) motor-based intraflagellar transport (IFT) governs cargo transport and delivery processes that are essential for primary cilia growth and maintenance and for hedgehog signaling functions. The IFT dynein-2 motor complex that regulates ciliary retrograde protein transport contains a heavy chain dynein ATPase/motor subunit, DYNC2H1, along with other less well functionally defined subunits. Deficiency of IFT proteins, including DYNC2H1, underlies a spectrum of skeletal ciliopathies. Here, by using exome sequencing and a targeted next-generation sequencing panel, we identified a total of 11 mutations in WDR34 in 9 families with the clinical diagnosis of Jeune syndrome (asphyxiating thoracic dystrophy). WDR34 encodes a WD40 repeat-containing protein orthologous to Chlamydomonas FAP133, a dynein intermediate chain associated with the retrograde intraflagellar transport motor. Three-dimensional protein modeling suggests that the identified mutations all affect residues critical for WDR34 protein-protein interactions. We find that WDR34 concentrates around the centrioles and basal bodies in mammalian cells, also showing axonemal staining. WDR34 coimmunoprecipitates with the dynein-1 light chain DYNLL1 in vitro, and mining of proteomics data suggests that WDR34 could represent a previously unrecognized link between the cytoplasmic dynein-1 and IFT dynein-2 motors. Together, these data show that WDR34 is critical for ciliary functions essential to normal development and survival, most probably as a previously unrecognized component of the mammalian dynein-IFT machinery.
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- 2013
43. Deletion of TOP3β, a component of FMRP-containing mRNPs, contributes to neurodevelopmental disorders
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Stoll, Georg, Pietiläinen, Olli PH, Linder, Bastian, Suvisaari, Jaana, Brosi, Cornelia, Hennah, William, Leppä, Virpi, Torniainen, Minna, Ripatti, Samuli, Ala-Mello, Sirpa, Plöttner, Oliver, Rehnström, Karola, Tuulio-Henriksson, Annamari, Varilo, Teppo, Tallila, Jonna, Kristiansson, Kati, Isohanni, Matti, Kaprio, Jaakko, Eriksson, Johan G, Raitakari, Olli T, Lehtimäki, Terho, Jarvelin, Marjo-Riitta, Salomaa, Veikko, Hurles, Matthew, Stefansson, Hreinn, Peltonen, Leena, Sullivan, Patrick F, Paunio, Tiina, Lönnqvist, Jouko, Daly, Mark J, Fischer, Utz, Freimer, Nelson B, and Palotie, Aarno
- Subjects
Neurosciences ,Schizophrenia ,Intellectual and Developmental Disabilities (IDD) ,Mental Health ,Genetics ,Fragile X Syndrome ,Rare Diseases ,Brain Disorders ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Abnormalities ,Multiple ,Adolescent ,Adult ,Aged ,Chromosome Deletion ,Chromosomes ,Human ,Pair 22 ,Cognition Disorders ,Cohort Studies ,DNA Topoisomerases ,Type I ,DiGeorge Syndrome ,Family Health ,Female ,Finland ,Fragile X Mental Retardation Protein ,Gene Expression Profiling ,Genetic Association Studies ,Genotype ,HEK293 Cells ,Health Surveys ,Humans ,Male ,Middle Aged ,Models ,Molecular ,Proteins ,Ribonucleoproteins ,Sequence Deletion ,Young Adult ,Psychology ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Implicating particular genes in the generation of complex brain and behavior phenotypes requires multiple lines of evidence. The rarity of most high-impact genetic variants typically precludes the possibility of accruing statistical evidence that they are associated with a given trait. We found that the enrichment of a rare chromosome 22q11.22 deletion in a recently expanded Northern Finnish sub-isolate enabled the detection of association between TOP3B and both schizophrenia and cognitive impairment. Biochemical analysis of TOP3β revealed that this topoisomerase was a component of cytosolic messenger ribonucleoproteins (mRNPs) and was catalytically active on RNA. The recruitment of TOP3β to mRNPs was independent of RNA cis-elements and was coupled to the co-recruitment of FMRP, the disease gene product in fragile X mental retardation syndrome. Our results indicate a previously unknown role for TOP3β in mRNA metabolism and suggest that it is involved in neurodevelopmental disorders.
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- 2013
44. An integrated map of genetic variation from 1,092 human genomes
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McVean, Gil A, Altshuler (Co-Chair), David M, Durbin (Co-Chair), Richard M, Abecasis, Gonçalo R, Bentley, David R, Chakravarti, Aravinda, Clark, Andrew G, Donnelly, Peter, Eichler, Evan E, Flicek, Paul, Gabriel, Stacey B, Gibbs, Richard A, Green, Eric D, Hurles, Matthew E, Knoppers, Bartha M, Korbel, Jan O, Lander, Eric S, Lee, Charles, Lehrach, Hans, Mardis, Elaine R, Marth, Gabor T, Nickerson, Deborah A, Schmidt, Jeanette P, Sherry, Stephen T, Wang, Jun, and Wilson, Richard K
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Biological Sciences ,Bioinformatics and Computational Biology ,Genetics ,Human Genome ,1.1 Normal biological development and functioning ,2.1 Biological and endogenous factors ,Generic health relevance ,Alleles ,Binding Sites ,Conserved Sequence ,Evolution ,Molecular ,Genetic Variation ,Genetics ,Medical ,Genetics ,Population ,Genome ,Human ,Genome-Wide Association Study ,Genomics ,Haplotypes ,Humans ,Nucleotide Motifs ,Polymorphism ,Single Nucleotide ,Racial Groups ,Sequence Deletion ,Transcription Factors ,Genomes Project Consortium ,General Science & Technology - Abstract
By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. Here we describe the genomes of 1,092 individuals from 14 populations, constructed using a combination of low-coverage whole-genome and exome sequencing. By developing methods to integrate information across several algorithms and diverse data sources, we provide a validated haplotype map of 38 million single nucleotide polymorphisms, 1.4 million short insertions and deletions, and more than 14,000 larger deletions. We show that individuals from different populations carry different profiles of rare and common variants, and that low-frequency variants show substantial geographic differentiation, which is further increased by the action of purifying selection. We show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites. This resource, which captures up to 98% of accessible single nucleotide polymorphisms at a frequency of 1% in related populations, enables analysis of common and low-frequency variants in individuals from diverse, including admixed, populations.
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- 2012
45. Genome-wide Transcriptome Profiling Reveals the Functional Impact of Rare De Novo and Recurrent CNVs in Autism Spectrum Disorders
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Luo, Rui, Sanders, Stephan J, Tian, Yuan, Voineagu, Irina, Huang, Ni, Chu, Su H, Klei, Lambertus, Cai, Chaochao, Ou, Jing, Lowe, Jennifer K, Hurles, Matthew E, Devlin, Bernie, State, Matthew W, and Geschwind, Daniel H
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Biological Sciences ,Bioinformatics and Computational Biology ,Biomedical and Clinical Sciences ,Genetics ,Mental Health ,Brain Disorders ,Autism ,Neurosciences ,Pediatric ,Human Genome ,Intellectual and Developmental Disabilities (IDD) ,Aetiology ,2.1 Biological and endogenous factors ,Child ,Child Development Disorders ,Pervasive ,Child ,Preschool ,Chromosomes ,Human ,Pair 16 ,DNA Copy Number Variations ,Gene Expression Profiling ,Humans ,Mutation ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Copy-number variants (CNVs) are a major contributor to the pathophysiology of autism spectrum disorders (ASDs), but the functional impact of CNVs remains largely unexplored. Because brain tissue is not available from most samples, we interrogated gene expression in lymphoblasts from 244 families with discordant siblings in the Simons Simplex Collection in order to identify potentially pathogenic variation. Our results reveal that the overall frequency of significantly misexpressed genes (which we refer to here as outliers) identified in probands and unaffected siblings does not differ. However, in probands, but not their unaffected siblings, the group of outlier genes is significantly enriched in neural-related pathways, including neuropeptide signaling, synaptogenesis, and cell adhesion. We demonstrate that outlier genes cluster within the most pathogenic CNVs (rare de novo CNVs) and can be used for the prioritization of rare CNVs of potentially unknown significance. Several nonrecurrent CNVs with significant gene-expression alterations are identified (these include deletions in chromosomal regions 3q27, 3p13, and 3p26 and duplications at 2p15), suggesting that these are potential candidate ASD loci. In addition, we identify distinct expression changes in 16p11.2 microdeletions, 16p11.2 microduplications, and 7q11.23 duplications, and we show that specific genes within the 16p CNV interval correlate with differences in head circumference, an ASD-relevant phenotype. This study provides evidence that pathogenic structural variants have a functional impact via transcriptome alterations in ASDs at a genome-wide level and demonstrates the utility of integrating gene expression with mutation data for the prioritization of genes disrupted by potentially pathogenic mutations.
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- 2012
46. Mapping copy number variation by population-scale genome sequencing.
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Mills, Ryan, Walter, Klaudia, Stewart, Chip, Handsaker, Robert, Chen, Ken, Alkan, Can, Abyzov, Alexej, Yoon, Seungtai, Ye, Kai, Cheetham, R, Chinwalla, Asif, Conrad, Donald, Fu, Yutao, Grubert, Fabian, Hajirasouliha, Iman, Hormozdiari, Fereydoun, Iakoucheva, Lilia, Iqbal, Zamin, Kang, Shuli, Kidd, Jeffrey, Konkel, Miriam, Korn, Joshua, Khurana, Ekta, Kural, Deniz, Lam, Hugo, Leng, Jing, Li, Ruiqiang, Li, Yingrui, Lin, Chang-Yun, Luo, Ruibang, Mu, Xinmeng, Nemesh, James, Peckham, Heather, Rausch, Tobias, Scally, Aylwyn, Shi, Xinghua, Stromberg, Michael, Stütz, Adrian, Urban, Alexander, Walker, Jerilyn, Wu, Jiantao, Zhang, Yujun, Zhang, Zhengdong, Batzer, Mark, Ding, Li, Marth, Gabor, McVean, Gil, Sebat, Jonathan, Snyder, Michael, Wang, Jun, Ye, Kenny, Eichler, Evan, Gerstein, Mark, Hurles, Matthew, Lee, Charles, McCarroll, Steven, and Korbel, Jan
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DNA Copy Number Variations ,Gene Duplication ,Genetic Predisposition to Disease ,Genetics ,Population ,Genome ,Human ,Genomics ,Genotype ,Humans ,Mutagenesis ,Insertional ,Reproducibility of Results ,Sequence Analysis ,DNA ,Sequence Deletion - Abstract
Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.
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- 2011
47. Prevalence of deleterious variants in MC3R in patients with constitutional delay of growth and puberty
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Duckett, Katie, Williamson, Alice, Kincaid, John WR, Rainbow, Kara, Corbin, Laura J, Martin, Hilary C, Eberhardt, Ruth Y, Huang, Qin Qin, Hurles, Matthew E, He, Wen, Brauner, Raja, Delaney, Angela, Dunkel, Leo, Grinspon, Romina P, Hall, Janet E, Hirschhorn, Joel N, Howard, Sasha R, Latronico, Ana C, Jorge, Alexander AL, McElreavey, Ken, Mericq, Verónica, Merino, Paulina M, Palmert, Mark R, Plummer, Lacey, Rey, Rodolfo A, Rezende, Raíssa C, Seminara, Stephanie B, Salnikov, Kathryn, Banerjee, Indraneel, Lam, Brian YH, Perry, John RB, Timpson, Nicholas J, Clayton, Peter, Chan, Yee-Ming, Ong, Ken K, O'Rahilly, Stephen, Duckett, Katie [0000-0002-0222-1689], Williamson, Alice [0000-0002-7599-9301], Kincaid, John WR [0000-0003-0660-9813], Rainbow, Kara [0000-0002-8089-0693], Corbin, Laura J [0000-0002-4032-9500], Martin, Hilary C [0000-0002-4454-9084], Eberhardt, Ruth Y [0000-0001-6152-1369], Huang, Qin Qin [0000-0003-3073-717X], Hurles, Matthew E [0000-0002-2333-7015], Brauner, Raja [0000-0002-4456-4508], Delaney, Angela [0000-0002-0632-6365], Grinspon, Romina P [0000-0002-6291-1518], Hall, Janet E [0000-0003-4644-3061], Hirschhorn, Joel N [0000-0002-1650-7901], Palmert, Mark R [0000-0002-4096-0685], Lam, Brian YH [0000-0002-3638-9025], Timpson, Nicholas J [0000-0002-7141-9189], Clayton, Peter [0000-0003-1225-4537], Chan, Yee-Ming [0000-0003-0554-8502], Ong, Ken K [0000-0003-4689-7530], O'Rahilly, Stephen [0000-0003-2199-4449], and Apollo - University of Cambridge Repository
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UK Biobank ,constitutional delay ,MC3R ,ALSPAC ,delayed puberty - Abstract
ContextThe melanocortin 3 receptor (MC3R) has recently emerged as a critical regulator of pubertal timing, linear growth and the acquisition of lean mass in humans and mice. In population-based studies, heterozygous carriers of deleterious variants in MC3R report a later onset of puberty than non-carriers. However, the frequency of such variants in patients who present with clinical disorders of pubertal development is currently unknown.ObjectiveTo determine whether deleterious MC3R variants are more frequently found in patients clinically presenting with constitutional delay of growth and puberty (CDGP) or normosmic idiopathic hypogonadotropic hypogonadism (nIHH).Design, Setting and ParticipantsWe examined the sequence of MC3R in 362 adolescents with a clinical diagnosis of CDGP and 657 patients with nIHH, experimentally characterised the signalling properties of all non-synonymous variants found and compared their frequency to that in 5774 controls from a population-based cohort. Additionally, we established the relative frequency of predicted deleterious variants in individuals with self-reported delayed vs normally timed menarche/voice breaking in the UK Biobank cohort.ResultsMC3R loss-of-function variants were infrequent but overrepresented in patients with CDGP (8/362 (2.2%), OR = 4.17, p = 0.001). There was no strong evidence of overrepresentation in patients with nIHH (4/657 (0.6%), OR = 1.15, p = 0.779). In 246,328 women from UK Biobank, predicted deleterious variants were more frequently found in those self-reporting delayed (≥16 years) vs normal age at menarche (OR = 1.66, p = 3.90E-07).ConclusionsWe have found evidence that functionally damaging variants in MC3R are overrepresented in individuals with CDGP but are not a common cause of this phenotype.
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- 2023
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48. Saturation genome editing of BAP1functionally classifies somatic and germline variants
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Waters, Andrew J., Brendler-Spaeth, Timothy, Smith, Danielle, Offord, Victoria, Tan, Hong Kee, Zhao, Yajie, Obolenski, Sofia, Nielsen, Maartje, van Doorn, Remco, Murphy, Jo-Ellen, Gupta, Prashant, Rowlands, Charlie F., Hanson, Helen, Delage, Erwan, Thomas, Mark, Radford, Elizabeth J., Gerety, Sebastian S., Turnbull, Clare, Perry, John R. B., Hurles, Matthew E., and Adams, David J.
- Abstract
Many variants that we inherit from our parents or acquire de novo or somatically are rare, limiting the precision with which we can associate them with disease. We performed exhaustive saturation genome editing (SGE) of BAP1, the disruption of which is linked to tumorigenesis and altered neurodevelopment. We experimentally characterized 18,108 unique variants, of which 6,196 were found to have abnormal functions, and then used these data to evaluate phenotypic associations in the UK Biobank. We also characterized variants in a large population-ascertained tumor collection, in cancer pedigrees and ClinVar, and explored the behavior of cancer-associated variants compared to that of variants linked to neurodevelopmental phenotypes. Our analyses demonstrated that disruptive germline BAP1variants were significantly associated with higher circulating levels of the mitogen IGF-1, suggesting a possible pathological mechanism and therapeutic target. Furthermore, we built a variant classifier with >98% sensitivity and specificity and quantify evidence strengths to aid precision variant interpretation.
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- 2024
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49. Clinical and molecular consequences of disease-associated de novo mutations in SATB2
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Bengani, Hemant, Handley, Mark, Alvi, Mohsan, Ibitoye, Rita, Lees, Melissa, Lynch, Sally Ann, Lam, Wayne, Fannemel, Madeleine, Nordgren, Ann, Malmgren, H., Kvarnung, M., Mehta, Sarju, McKee, Shane, Whiteford, Margo, Stewart, Fiona, Connell, Fiona, Clayton-Smith, Jill, Mansour, Sahar, Mohammed, Shehla, Fryer, Alan, Morton, Jenny, Grozeva, Detelina, Asam, Tara, Moore, David, Sifrim, Alejandro, McRae, Jeremy, Hurles, Matthew E., Firth, Helen V., Raymond, F. Lucy, Kini, Usha, Nellåker, Christoffer, and FitzPatrick, David R.
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- 2017
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50. Mitochondrial DNA and the Origins of the Domestic Horse
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Jansen, Thomas, Forster, Peter, Levine, Marsha A., Oelke, Hardy, Hurles, Matthew, Renfrew, Colin, Weber, Jürgen, and Olek, Klaus
- Published
- 2002
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