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35 results on '"Dawood, Moez"'

1. GREGoR: Accelerating Genomics for Rare Diseases

Author

Dawood, Moez, Heavner, Ben, Wheeler, Marsha M., Ungar, Rachel A., LoTempio, Jonathan, Wiel, Laurens, Berger, Seth, Bernstein, Jonathan A., Chong, Jessica X., Délot, Emmanuèle C., Eichler, Evan E., Gibbs, Richard A., Lupski, James R., Shojaie, Ali, Talkowski, Michael E., Wagner, Alex H., Wei, Chia-Lin, Wellington, Christopher, Wheeler, Matthew T., Members, GREGoR Partner, Carvalho, Claudia M. B., Gifford, Casey A., May, Susanne, Miller, Danny E., Rehm, Heidi L., Sedlazeck, Fritz J., Vilain, Eric, O'Donnell-Luria, Anne, Posey, Jennifer E., Chadwick, Lisa H., Bamshad, Michael J., Montgomery, Stephen B., Diseases, Genomics Research to Elucidate the Genetics of Rare, and Consortium

Subjects
Quantitative Biology - Other Quantitative Biology
Abstract

Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in DNA sequencing, development of new computational and experimental approaches to prioritize genes and genetic variants, and increased global exchange of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis. The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium was initiated to study thousands of challenging rare disease cases and families and apply, standardize, and evaluate emerging genomics technologies and analytics to accelerate their adoption in clinical practice. Further, all data generated, currently representing ~7500 individuals from ~3000 families, is rapidly made available to researchers worldwide via the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) to catalyze global efforts to develop approaches for genetic diagnoses in rare diseases (https://gregorconsortium.org/data). The majority of these families have undergone prior clinical genetic testing but remained unsolved, with most being exome-negative. Here, we describe the collaborative research framework, datasets, and discoveries comprising GREGoR that will provide foundational resources and substrates for the future of rare disease genomics.

Published
2024

2. Using multiplexed functional data to reduce variant classification inequities in underrepresented populations.

Author

Dawood, Moez, Fayer, Shawn, Pendyala, Sriram, Post, Mason, Kalra, Divya, Patterson, Karynne, Venner, Eric, Muffley, Lara, Fowler, Douglas, Rubin, Alan, Posey, Jennifer, Plon, Sharon, Lupski, James, Gibbs, Richard, Starita, Lea, Robles-Espinoza, Carla, Coyote-Maestas, Willow, and Gallego Romero, Irene

Subjects
All of Us, Benign, Equity, Genetic ancestry, Inequity, MAVE, Missense, Multiplexed assay of variant effects, Pathogenic, VUS, Variants of uncertain significance, gnomAD, Humans, Genetic Variation, BRCA1 Protein, Tumor Suppressor Protein p53, Databases, Genetic, Minority Groups, Gene Frequency, PTEN Phosphohydrolase
Abstract

BACKGROUND: Multiplexed Assays of Variant Effects (MAVEs) can test all possible single variants in a gene of interest. The resulting saturation-style functional data may help resolve variant classification disparities between populations, especially for Variants of Uncertain Significance (VUS). METHODS: We analyzed clinical significance classifications in 213,663 individuals of European-like genetic ancestry versus 206,975 individuals of non-European-like genetic ancestry from All of Us and the Genome Aggregation Database. Then, we incorporated clinically calibrated MAVE data into the Clinical Genome Resources Variant Curation Expert Panel rules to automate VUS reclassification for BRCA1, TP53, and PTEN. RESULTS: Using two orthogonal statistical approaches, we show a higher prevalence (p ≤ 5.95e - 06) of VUS in individuals of non-European-like genetic ancestry across all medical specialties assessed in all three databases. Further, in the non-European-like genetic ancestry group, higher rates of Benign or Likely Benign and variants with no clinical designation (p ≤ 2.5e - 05) were found across many medical specialties, whereas Pathogenic or Likely Pathogenic assignments were increased in individuals of European-like genetic ancestry (p ≤ 2.5e - 05). Using MAVE data, we reclassified VUS in individuals of non-European-like genetic ancestry at a significantly higher rate in comparison to reclassified VUS from European-like genetic ancestry (p = 9.1e - 03) effectively compensating for the VUS disparity. Further, essential code analysis showed equitable impact of MAVE evidence codes but inequitable impact of allele frequency (p = 7.47e - 06) and computational predictor (p = 6.92e - 05) evidence codes for individuals of non-European-like genetic ancestry. CONCLUSIONS: Generation of saturation-style MAVE data should be a priority to reduce VUS disparities and produce equitable training data for future computational predictors.

Published
2024

3. NODAL variants are associated with a continuum of laterality defects from simple D-transposition of the great arteries to heterotaxy

Author

Dardas, Zain, Fatih, Jawid M., Jolly, Angad, Dawood, Moez, Du, Haowei, Grochowski, Christopher M., Jones, Edward G., Jhangiani, Shalini N., Wehrens, Xander H. T., Liu, Pengfei, Bi, Weimin, Boerwinkle, Eric, Posey, Jennifer E., Muzny, Donna M., Gibbs, Richard A., Lupski, James R., Coban-Akdemir, Zeynep, and Morris, Shaine A.

Published
2024
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4. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing

Author

Abouhala, Siwaar, Albert, Jessica, Almalvez, Miguel, Alvarez, Raquel, Amin, Mutaz, Anderson, Peter, Aradhya, Swaroop, Ashley, Euan, Assimes, Themistocles, Auriga, Light, Austin-Tse, Christina, Bamshad, Mike, Barseghyan, Hayk, Baxter, Samantha, Behera, Sairam, Beheshti, Shaghayegh, Bejerano, Gill, Berger, Seth, Bernstein, Jon, Best, Sabrina, Blankenmeister, Benjamin, Blue, Elizabeth, Boerwinkle, Eric, Bonkowski, Emily, Bonner, Devon, Boone, Philip, Bornhorst, Miriam, Brand, Harrison, Buckingham, Kati, Calame, Daniel, Carter, Jennefer, Casadei, Silvia, Chadwick, Lisa, Chavez, Clarisa, Chen, Ziwei, Chinn, Ivan, Chong, Jessica, Coban-Akdemir, Zeynep, Cohen, Andrea J., Conner, Sarah, Conomos, Matthew, Coveler, Karen, Cui, Ya Allen, Currin, Sara, Daber, Robert, Dardas, Zain, Davis, Colleen, Dawood, Moez, de Dios, Ivan, de Esch, Celine, Delaney, Meghan, Delot, Emmanuele, DiTroia, Stephanie, Doddapaneni, Harsha, Du, Haowei, Duan, Ruizhi, Dugan-Perez, Shannon, Duong, Nhat, Duyzend, Michael, Eichler, Evan, Emami, Sara, Fraser, Jamie, Fusaro, Vincent, Galey, Miranda, Ganesh, Vijay, Garcia, Brandon, Garimella, Kiran, Gibbs, Richard, Gifford, Casey, Ginsburg, Amy, Goddard, Page, Gogarten, Stephanie, Gogate, Nikhita, Gordon, William, Gorzynski, John E., Greenleaf, William, Grochowski, Christopher, Groopman, Emily, Sousa, Rodrigo Guarischi, Gudmundsson, Sanna, Gulati, Ashima, Hall, Stacey, Harvey, William, Hawley, Megan, Heavner, Ben, Horike-Pyne, Martha, Hu, Jianhong, Huang, Yongqing, Hwang, James, Jarvik, Gail, Jensen, Tanner, Jhangiani, Shalini, Jimenez-Morales, David, Jin, Christopher, Saad, Ahmed K., Kahn-Kirby, Amanda, Kain, Jessica, Kaur, Parneet, Keehan, Laura, Knoblach, Susan, Ko, Arthur, Kundaje, Anshul, Kundu, Soumya, Lancaster, Samuel M., Larsson, Katie, Lee, Arthur, Lemire, Gabrielle, Lewis, Richard, Li, Wei, Li, Yidan, Liu, Pengfei, LoTempio, Jonathan, Lupski, James (Jim), Ma, Jialan, MacArthur, Daniel, Mahmoud, Medhat, Malani, Nirav, Mangilog, Brian, Marafi, Dana, Marmolejos, Sofia, Marten, Daniel, Martinez, Eva, Marvin, Colby, Marwaha, Shruti, Mastrorosa, Francesco Kumara, Matalon, Dena, May, Susanne, McGee, Sean, Meador, Lauren, Mefford, Heather, Mendez, Hector Rodrigo, Miller, Alexander, Miller, Danny E., Mitani, Tadahiro, Montgomery, Stephen, Moyses, Mariana, Munderloh, Chloe, Muzny, Donna, Nelson, Sarah, Nguyen, Thuy-mi P., Nguyen, Jonathan, Nussbaum, Robert, Nykamp, Keith, O'Callaghan, William, O'Heir, Emily, O'Leary, Melanie, Olsen, Jeren, Osei-Owusu, Ikeoluwa, O'Donnell-Luria, Anne, Padhi, Evin, Pais, Lynn, Pan, Miao, Panchal, Piyush, Patterson, Karynne, Payne, Sheryl, Pehlivan, Davut, Petrowski, Paul, Pham, Alicia, Pitsava, Georgia, Podesta, Astaria`Sara, Ponce, Sarah, Porter, Elizabeth, Posey, Jennifer, Prosser, Jaime, Quertermous, Thomas, Rai, Archana, Ramani, Arun, Rehm, Heidi, Reuter, Chloe, Reuter, Jason, Richardson, Matthew, Rivera-Munoz, Andres, Rubio, Oriane, Sabo, Aniko, Salani, Monica, Samocha, Kaitlin, Sanchis-Juan, Alba, Savage, Sarah, Scott, Evette, Scott, Stuart, Sedlazeck, Fritz, Shah, Gulalai, Shojaie, Ali, Singh, Mugdha, Smith, Kevin, Smith, Josh, Snow, Hana, Snyder, Michael, Socarras, Kayla, Starita, Lea, Stark, Brigitte, Stenton, Sarah, Stergachis, Andrew, Stilp, Adrienne, Sutton, V. Reid, Tai, Jui-Cheng, Talkowski, Michael (Mike), Tise, Christina, Tong, Catherine (Cat), Tsao, Philip, Ungar, Rachel, VanNoy, Grace, Vilain, Eric, Voutos, Isabella, Walker, Kim, Wei, Chia-Lin, Weisburd, Ben, Weiss, Jeff, Wellington, Chris, Weng, Ziming, Westheimer, Emily, Wheeler, Marsha, Wheeler, Matthew, Wiel, Laurens, Wilson, Michael, Wojcik, Monica, Wong, Quenna, Xiao, Changrui, Yadav, Rachita, Yi, Qian, Yuan, Bo, Zhao, Jianhua, Zhen, Jimmy, Zhou, Harry, Chong, Jessica X., Berger, Seth I., Smith, Erica, Calame, Daniel G., Hawley, Megan H., Rivera-Munoz, E. Andres, Bamshad, Michael J., and Rehm, Heidi L.

Published
2024
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5. Phenotypic and mutational spectrum of ROR2‐related Robinow syndrome

Author

Lima, Ariadne R, Ferreira, Barbara M, Zhang, Chaofan, Jolly, Angad, Du, Haowei, White, Janson J, Dawood, Moez, Lins, Tulio C, Chiabai, Marcela A, Beusekom, Ellen, Cordoba, Mara S, Rosa, Erica CC Caldas, Kayserili, Hulya, Kimonis, Virginia, Wu, Erica, Mellado, Cecilia, Aggarwal, Vineet, Richieri‐Costa, Antonio, Brunoni, Décio, Canó, Talyta M, Jorge, Alexander AL, Kim, Chong A, Honjo, Rachel, Bertola, Débora R, Dandalo‐Girardi, Raissa M, Bayram, Yavuz, Gezdirici, Alper, Yilmaz‐Gulec, Elif, Gumus, Evren, Yilmaz, Gülay C, Okamoto, Nobuhiko, Ohashi, Hirofumi, Coban–Akdemir, Zeynep, Mitani, Tadahiro, Jhangiani, Shalini N, Muzny, Donna M, Regattieri, Neysa AP, Pogue, Robert, Pereira, Rinaldo W, Otto, Paulo A, Gibbs, Richard A, Ali, Bassam R, Bokhoven, Hans, Brunner, Han G, Sutton, V Reid, Lupski, James R, Vianna‐Morgante, Angela M, Carvalho, Claudia MB, and Mazzeu, Juliana F

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Clinical Research, Pediatric, Congenital Structural Anomalies, Aetiology, 2.1 Biological and endogenous factors, Craniofacial Abnormalities, Dwarfism, Genes, Recessive, Humans, Limb Deformities, Congenital, Male, Phenotype, Receptor Tyrosine Kinase-like Orphan Receptors, Urogenital Abnormalities, chromosome microarray analysis, craniofacial morphology, exonic deletion, HPO terms, next-generation sequencing, quantitative phenotyping cluster heatmap, skeletal dysplasia, WNT pathway, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract

Robinow syndrome is characterized by a triad of craniofacial dysmorphisms, disproportionate-limb short stature, and genital hypoplasia. A significant degree of phenotypic variability seems to correlate with different genes/loci. Disturbances of the noncanonical WNT-pathway have been identified as the main cause of the syndrome. Biallelic variants in ROR2 cause an autosomal recessive form of the syndrome with distinctive skeletal findings. Twenty-two patients with a clinical diagnosis of autosomal recessive Robinow syndrome were screened for variants in ROR2 using multiple molecular approaches. We identified 25 putatively pathogenic ROR2 variants, 16 novel, including single nucleotide variants and exonic deletions. Detailed phenotypic analyses revealed that all subjects presented with a prominent forehead, hypertelorism, short nose, abnormality of the nasal tip, brachydactyly, mesomelic limb shortening, short stature, and genital hypoplasia in male patients. A total of 19 clinical features were present in more than 75% of the subjects, thus pointing to an overall uniformity of the phenotype. Disease-causing variants in ROR2, contribute to a clinically recognizable autosomal recessive trait phenotype with multiple skeletal defects. A comprehensive quantitative clinical evaluation of this cohort delineated the phenotypic spectrum of ROR2-related Robinow syndrome. The identification of exonic deletion variant alleles further supports the contention of a loss-of-function mechanism in the etiology of the syndrome.

Published
2022

6. Beyond the exome: What’s next in diagnostic testing for Mendelian conditions

Author

Abouhala, Siwaar, Albert, Jessica, Almalvez, Miguel, Alvarez, Raquel, Amin, Mutaz, Anderson, Peter, Aradhya, Swaroop, Ashley, Euan, Assimes, Themistocles, Auriga, Light, Austin-Tse, Christina, Bamshad, Mike, Barseghyan, Hayk, Baxter, Samantha, Behera, Sairam, Beheshti, Shaghayegh, Bejerano, Gill, Berger, Seth, Bernstein, Jon, Best, Sabrina, Blankenmeister, Benjamin, Blue, Elizabeth, Boerwinkle, Eric, Bonkowski, Emily, Bonner, Devon, Boone, Philip, Bornhorst, Miriam, Bozkurt-Yozgatli, Tugce, Brand, Harrison, Buckingham, Kati, Calame, Daniel, Casadei, Silvia, Chadwick, Lisa, Chavez, Clarisa, Chen, Ziwei, Chinn, Ivan, Chong, Jessica, Coban-Akdemir, Zeynep, Cohen, Andrea J., Conner, Sarah, Conomos, Matthew, Coveler, Karen, Cui, Ya Allen, Currin, Sara, Daber, Robert, Dardas, Zain, Davis, Colleen, Dawood, Moez, de Dios, Ivan, de Esch, Celine, Delaney, Meghan, Délot, Emmanuèle, DiTroia, Stephanie, Doddapaneni, Harsha, Du, Haowei, Duan, Ruizhi, Dugan-Perez, Shannon, Duong, Nhat, Duyzend, Michael, Eichler, Evan, Emami, Sara, Fatih, Jawid, Fraser, Jamie, Fusaro, Vincent, Galey, Miranda, Ganesh, Vijay, Garimella, Kiran, Gibbs, Richard, Gifford, Casey, Ginsburg, Amy, Goddard, Pagé, Gogarten, Stephanie, Gogate, Nikhita, Gordon, William, Gorzynski, John E., Greenleaf, William, Grochowski, Christopher, Groopman, Emily, Guarischi Sousa, Rodrigo, Gudmundsson, Sanna, Gulati, Ashima, Guo, Daniel, Hale, Walker, Hall, Stacey, Harvey, William, Hawley, Megan, Heavner, Ben, Herman, Isabella, Horike-Pyne, Martha, Hu, Jianhong, Huang, Yongqing, Hwang, James, Jarvik, Gail, Jensen, Tanner, Jhangiani, Shalini, Jimenez-Morales, David, Jin, Christopher, Saad, Ahmed K., Kahn-Kirby, Amanda, Kain, Jessica, Kaur, Parneet, Keehan, Laura, Knoblach, Susan, Ko, Arthur, Kohler, Jennefer, Kundaje, Anshul, Kundu, Soumya, Lancaster, Samuel M., Larsson, Katie, Lemire, Gabrielle, Lewis, Richard, Li, Wei, Li, Yidan, Liu, Pengfei, LoTempio, Jonathan, Lupski, James, Ma, Jialan, MacArthur, Daniel, Mahmoud, Medhat, Malani, Nirav, Mangilog, Brian, Marafi, Dana, Marmolejos, Sofia, Marten, Daniel, Martinez, Eva, Marvin, Colby, Marwaha, Shruti, Kumara Mastrorosa, Francesco, Matalon, Dena, May, Susanne, McGee, Sean, Meador, Lauren, Mefford, Heather, Rodrigo Mendez, Hector, Miller, Alexander, Miller, Danny E., Mitani, Tadahiro, Montgomery, Stephen, Moussa, Hala Mohamed, Moyses, Mariana, Munderloh, Chloe, Muzny, Donna, Nelson, Sarah, Neu, Matthew B., Nguyen, Jonathan, Nguyen, Thuy-mi P., Nussbaum, Robert, Nykamp, Keith, O'Callaghan, William, O'Heir, Emily, O'Leary, Melanie, Olsen, Jeren, Osei-Owusu, Ikeoluwa, O'Donnell-Luria, Anne, Padhi, Evin, Pais, Lynn, Pan, Miao, Panchal, Piyush, Patterson, Karynne, Payne, Sheryl, Pehlivan, Davut, Petrowski, Paul, Pham, Alicia, Pitsava, Georgia, Podesta, Astaria, Ponce, Sarah, Posey, Jennifer, Prosser, Jaime, Quertermous, Thomas, Rai, Archana, Ramani, Arun, Rehm, Heidi, Reuter, Chloe, Reuter, Jason, Richardson, Matthew, Rivera-Munoz, Andres, Rubio, Oriane, Sabo, Aniko, Salani, Monica, Samocha, Kaitlin, Sanchis-Juan, Alba, Savage, Sarah, Scott, Stuart, Scott, Evette, Sedlazeck, Fritz, Shah, Gulalai, Shojaie, Ali, Singh, Mugdha, Smith, Josh, Smith, Kevin, Snow, Hana, Snyder, Michael, Socarras, Kayla, Starita, Lea, Stark, Brigitte, Stenton, Sarah, Stergachis, Andrew, Stilp, Adrienne, Sundaram, Laksshman, Sutton, V. Reid, Tai, Jui-Cheng, Talkowski, Michael, Tise, Christina, Tong, Catherine, Tsao, Philip, Ungar, Rachel, VanNoy, Grace, Vilain, Eric, Voutos, Isabella, Walker, Kim, Weisburd, Ben, Weiss, Jeff, Wellington, Chris, Weng, Ziming, Westheimer, Emily, Wheeler, Marsha, Wheeler, Matthew, Wiel, Laurens, Wilson, Michael, Wojcik, Monica, Wong, Quenna, Wong, Issac, Xiao, Changrui, Yadav, Rachita, Yi, Qian, Yuan, Bo, Zhao, Jianhua, Zhen, Jimmy, Zhou, Harry, Wojcik, Monica H., Reuter, Chloe M., Duyzend, Michael H., Boone, Philip M., Groopman, Emily E., Délot, Emmanuèle C., Jain, Deepti, Starita, Lea M., Montgomery, Stephen B., Bamshad, Michael J., Chong, Jessica X., Wheeler, Matthew T., Berger, Seth I., and Sedlazeck, Fritz J.

Published
2023
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7. Monoallelic variation in DHX9, the gene encoding the DExH-box helicase DHX9, underlies neurodevelopment disorders and Charcot-Marie-Tooth disease

Author

Calame, Daniel G., Guo, Tianyu, Wang, Chen, Garrett, Lillian, Jolly, Angad, Dawood, Moez, Kurolap, Alina, Henig, Noa Zunz, Fatih, Jawid M., Herman, Isabella, Du, Haowei, Mitani, Tadahiro, Becker, Lore, Rathkolb, Birgit, Gerlini, Raffaele, Seisenberger, Claudia, Marschall, Susan, Hunter, Jill V., Gerard, Amanda, Heidlebaugh, Alexis, Challman, Thomas, Spillmann, Rebecca C., Jhangiani, Shalini N., Coban-Akdemir, Zeynep, Lalani, Seema, Liu, Lingxiao, Revah-Politi, Anya, Iglesias, Alejandro, Guzman, Edwin, Baugh, Evan, Boddaert, Nathalie, Rondeau, Sophie, Ormieres, Clothide, Barcia, Giulia, Tan, Queenie K.G., Thiffault, Isabelle, Pastinen, Tomi, Sheikh, Kazim, Biliciler, Suur, Mei, Davide, Melani, Federico, Shashi, Vandana, Yaron, Yuval, Steele, Mary, Wakeling, Emma, Østergaard, Elsebet, Nazaryan-Petersen, Lusine, Millan, Francisca, Santiago-Sim, Teresa, Thevenon, Julien, Bruel, Ange-Line, Thauvin-Robinet, Christel, Popp, Denny, Platzer, Konrad, Gawlinski, Pawel, Wiszniewski, Wojciech, Marafi, Dana, Pehlivan, Davut, Posey, Jennifer E., Gibbs, Richard A., Gailus-Durner, Valerie, Guerrini, Renzo, Fuchs, Helmut, Hrabě de Angelis, Martin, Hölter, Sabine M., Cheung, Hoi-Hung, Gu, Shen, and Lupski, James R.

Published
2023
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8. Rare variant enrichment analysis supports GREB1L as a contributory driver gene in the etiology of Mayer-Rokitansky-Küster-Hauser syndrome

Author

Jolly, Angad, Du, Haowei, Borel, Christelle, Chen, Na, Zhao, Sen, Grochowski, Christopher M., Duan, Ruizhi, Fatih, Jawid M., Dawood, Moez, Salvi, Sejal, Jhangiani, Shalini N., Muzny, Donna M., Koch, André, Rouskas, Konstantinos, Glentis, Stavros, Deligeoroglou, Efthymios, Bacopoulou, Flora, Wise, Carol A., Dietrich, Jennifer E., Van den Veyver, Ignatia B., Dimas, Antigone S., Brucker, Sara, Sutton, V. Reid, Gibbs, Richard A., Antonarakis, Stylianos E., Wu, Nan, Coban-Akdemir, Zeynep H., Zhu, Lan, Posey, Jennifer E., and Lupski, James R.

Published
2023
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9. Centers for Mendelian Genomics: A decade of facilitating gene discovery

Author

Adams, Marcia, Aguet, François, Akay, Gulsen, Anderson, Peter, Antonescu, Corina, Arachchi, Harindra M., Atik, Mehmed M., Austin-Tse, Christina A., Babb, Larry, Bacus, Tamara J., Bahrambeigi, Vahid, Balasubramanian, Suganthi, Bayram, Yavuz, Beaudet, Arthur L., Beck, Christine R., Belmont, John W., Below, Jennifer E., Bilguvar, Kaya, Boehm, Corinne D., Boerwinkle, Eric, Boone, Philip M., Bowne, Sara J., Brand, Harrison, Buckingham, Kati J., Byrne, Alicia B., Calame, Daniel, Campbell, Ian M., Cao, Xiaolong, Carvalho, Claudia, Chander, Varuna, Chang, Jaime, Chao, Katherine R., Chinn, Ivan K., Clarke, Declan, Collins, Ryan L., Cummings, Beryl, Dardas, Zain, Dawood, Moez, Delano, Kayla, DiTroia, Stephanie P., Doddapaneni, Harshavardhan, Du, Haowei, Du, Renqian, Duan, Ruizhi, Eldomery, Mohammad, Eng, Christine M., England, Eleina, Evangelista, Emily, Everett, Selin, Fatih, Jawid, Felsenfeld, Adam, Francioli, Laurent C., Frazar, Christian D., Fu, Jack, Gamarra, Emmanuel, Gambin, Tomasz, Gan, Weiniu, Gandhi, Mira, Ganesh, Vijay S., Garimella, Kiran V., Gauthier, Laura D., Giroux, Danielle, Gonzaga-Jauregui, Claudia, Goodrich, Julia K., Gordon, William W., Griffith, Sean, Grochowski, Christopher M., Gu, Shen, Gudmundsson, Sanna, Hall, Stacey J., Hansen, Adam, Harel, Tamar, Harmanci, Arif O., Herman, Isabella, Hetrick, Kurt, Hijazi, Hadia, Horike-Pyne, Martha, Hsu, Elvin, Hu, Jianhong, Huang, Yongqing, Hurless, Jameson R., Jahl, Steve, Jarvik, Gail P., Jiang, Yunyun, Johanson, Eric, Jolly, Angad, Karaca, Ender, Khayat, Michael, Knight, James, Kolar, J. Thomas, Kumar, Sushant, Lalani, Seema, Laricchia, Kristen M., Larkin, Kathryn E., Leal, Suzanne M., Lemire, Gabrielle, Lewis, Richard A., Li, He, Ling, Hua, Lipson, Rachel B., Liu, Pengfei, Lovgren, Alysia Kern, López-Giráldez, Francesc, MacMillan, Melissa P., Mangilog, Brian E., Mano, Stacy, Marafi, Dana, Marosy, Beth, Marshall, Jamie L., Martin, Renan, Marvin, Colby T., Mawhinney, Michelle, McGee, Sean, McGoldrick, Daniel J., Mehaffey, Michelle, Mekonnen, Betselote, Meng, Xiaolu, Mitani, Tadahiro, Miyake, Christina Y., Mohr, David, Morris, Shaine, Mullen, Thomas E., Murdock, David R., Murugan, Mullai, Muzny, Donna M., Myers, Ben, Neira, Juanita, Nguyen, Kevin K., Nielsen, Patrick M., Nudelman, Natalie, O’Heir, Emily, O’Leary, Melanie C., Ongaco, Chrissie, Orange, Jordan, Osei-Owusu, Ikeoluwa A., Paine, Ingrid S., Pais, Lynn S., Paschall, Justin, Patterson, Karynne, Pehlivan, Davut, Pelle, Benjamin, Penney, Samantha, Perez de Acha Chavez, Jorge, Pierce-Hoffman, Emma, Poli, Cecilia M., Punetha, Jaya, Radhakrishnan, Aparna, Richardson, Matthew A., Rodrigues, Eliete, Roote, Gwendolin T., Rosenfeld, Jill A., Ryke, Erica L., Sabo, Aniko, Sanchez, Alice, Schrauwen, Isabelle, Scott, Daryl A., Sedlazeck, Fritz, Serrano, Jillian, Shaw, Chad A., Shelford, Tameka, Shively, Kathryn M., Singer-Berk, Moriel, Smith, Joshua D., Snow, Hana, Snyder, Grace, Solomonson, Matthew, Son, Rachel G., Song, Xiaofei, Stankiewicz, Pawel, Stephan, Taylorlyn, Sutton, V. Reid, Sveden, Abigail, Sánchez, Diana Cornejo, Tackett, Monica, Talkowski, Michael, Threlkeld, Machiko S., Tiao, Grace, Udler, Miriam S., Vail, Laura, Valivullah, Zaheer, Valkanas, Elise, VanNoy, Grace E., Wang, Qingbo S., Wang, Gao, Wang, Lu, Wangler, Michael F., Watts, Nicholas A., Weisburd, Ben, Weiss, Jeffrey M., Wheeler, Marsha M., White, Janson J., Williamson, Clara E., Wilson, Michael W., Wiszniewski, Wojciech, Withers, Marjorie A., Witmer, Dane, Witzgall, Lauren, Wohler, Elizabeth, Wojcik, Monica H., Wong, Isaac, Wood, Jordan C., Wu, Nan, Xing, Jinchuan, Yang, Yaping, Yi, Qian, Yuan, Bo, Zeiger, Jordan E., Zhang, Chaofan, Zhang, Peng, Zhang, Yan, Zhang, Xiaohong, Zhang, Yeting, Zhang, Shifa, Zoghbi, Huda, van den Veyver, Igna, Baxter, Samantha M., Posey, Jennifer E., Lake, Nicole J., Sobreira, Nara, Chong, Jessica X., Buyske, Steven, Blue, Elizabeth E., Chadwick, Lisa H., Coban-Akdemir, Zeynep H., Doheny, Kimberly F., Davis, Colleen P., Lek, Monkol, Wellington, Christopher, Jhangiani, Shalini N., Gerstein, Mark, Gibbs, Richard A., Lifton, Richard P., MacArthur, Daniel G., Matise, Tara C., Lupski, James R., Valle, David, Bamshad, Michael J., Hamosh, Ada, Mane, Shrikant, Nickerson, Deborah A., Rehm, Heidi L., and O’Donnell-Luria, Anne

Published
2022
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10. Novel pathogenic variants and quantitative phenotypic analyses of Robinow syndrome: WNT signaling perturbation and phenotypic variability

Author

Zhang, Chaofan, Jolly, Angad, Shayota, Brian J., Mazzeu, Juliana F., Du, Haowei, Dawood, Moez, Soper, Patricia Celestino, Ramalho de Lima, Ariadne, Ferreira, Bárbara Merfort, Coban-Akdemir, Zeynep, White, Janson, Shears, Deborah, Thomson, Fraser Robert, Douglas, Sarah Louise, Wainwright, Andrew, Bailey, Kathryn, Wordsworth, Paul, Oldridge, Mike, Lester, Tracy, Calder, Alistair D., Dumic, Katja, Banka, Siddharth, Donnai, Dian, Jhangiani, Shalini N., Potocki, Lorraine, Chung, Wendy K., Mora, Sara, Northrup, Hope, Ashfaq, Myla, Rosenfeld, Jill A., Mason, Kati, Pollack, Lynda C., McConkie-Rosell, Allyn, Kelly, Wei, McDonald, Marie, Hauser, Natalie S., Leahy, Peter, Powell, Cynthia M., Boy, Raquel, Honjo, Rachel Sayuri, Kok, Fernando, Martelli, Lucia R., Filho, Vicente Odone, Genomics England Research Consortium, Muzny, Donna M., Gibbs, Richard A., Posey, Jennifer E., Liu, Pengfei, Lupski, James R., Sutton, V. Reid, and Carvalho, Claudia M.B.

Published
2022
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11. The multiple de novo copy number variant (MdnCNV) phenomenon presents with peri-zygotic DNA mutational signatures and multilocus pathogenic variation

Author

Du, Haowei, Jolly, Angad, Grochowski, Christopher M., Yuan, Bo, Dawood, Moez, Jhangiani, Shalini N., Li, He, Muzny, Donna, Fatih, Jawid M., Coban-Akdemir, Zeynep, Carlin, Mary Esther, Scheuerle, Angela E., Witzl, Karin, Posey, Jennifer E., Pendleton, Matthew, Harrington, Eoghan, Juul, Sissel, Hastings, P. J., Bi, Weimin, Gibbs, Richard A., Sedlazeck, Fritz J., Lupski, James R., Carvalho, Claudia M. B., and Liu, Pengfei

Published
2022
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12. AHDC1 missense mutations in Xia-Gibbs syndrome

Author

Khayat, Michael M., Hu, Jianhong, Jiang, Yunyun, Li, He, Chander, Varuna, Dawood, Moez, Hansen, Adam W., Li, Shoudong, Friedman, Jennifer, Cross, Laura, Bijlsma, Emilia K., Ruivenkamp, Claudia A.L., Sansbury, Francis H., Innis, Jeffrey W., Omark O’Shea, Jessica, Meng, Qingchang, Rosenfeld, Jill A., McWalter, Kirsty, Wangler, Michael F., Lupski, James R., Posey, Jennifer E., Murdock, David, and Gibbs, Richard A.

Published
2021
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13. High prevalence of multilocus pathogenic variation in neurodevelopmental disorders in the Turkish population

Author

Mitani, Tadahiro, Isikay, Sedat, Gezdirici, Alper, Gulec, Elif Yilmaz, Punetha, Jaya, Fatih, Jawid M., Herman, Isabella, Akay, Gulsen, Du, Haowei, Calame, Daniel G., Ayaz, Akif, Tos, Tulay, Yesil, Gozde, Aydin, Hatip, Geckinli, Bilgen, Elcioglu, Nursel, Candan, Sukru, Sezer, Ozlem, Erdem, Haktan Bagis, Gul, Davut, Demiral, Emine, Elmas, Muhsin, Yesilbas, Osman, Kilic, Betul, Gungor, Serdal, Ceylan, Ahmet C., Bozdogan, Sevcan, Ozalp, Ozge, Cicek, Salih, Aslan, Huseyin, Yalcintepe, Sinem, Topcu, Vehap, Bayram, Yavuz, Grochowski, Christopher M., Jolly, Angad, Dawood, Moez, Duan, Ruizhi, Jhangiani, Shalini N., Doddapaneni, Harsha, Hu, Jianhong, Muzny, Donna M., Marafi, Dana, Akdemir, Zeynep Coban, Karaca, Ender, Carvalho, Claudia M.B., Gibbs, Richard A., Posey, Jennifer E., Lupski, James R., and Pehlivan, Davut

Published
2021
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15. Defining and Reducing Variant Classification Disparities

Author

Dawood, Moez, primary, Fayer, Shawn, additional, Pendyala, Sriram, additional, Post, Mason, additional, Kalra, Divya, additional, Patterson, Karynne, additional, Venner, Eric, additional, Muffley, Lara A., additional, Fowler, Douglas M., additional, Rubin, Alan F., additional, Posey, Jennifer E., additional, Plon, Sharon E., additional, Lupski, James R., additional, Gibbs, Richard A., additional, Starita, Lea M., additional, Robles-Espinoza, Carla Daniela, additional, Coyote-Maestas, Willow, additional, and Gallego Romero, Irene, additional

Published
2024
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19. A biallelic frameshift indel in PPP1R35 as a cause of primary microcephaly

Author

Dawood, Moez, primary, Akay, Gulsen, additional, Mitani, Tadahiro, additional, Marafi, Dana, additional, Fatih, Jawid M., additional, Gezdirici, Alper, additional, Najmabadi, Hossein, additional, Kahrizi, Kimia, additional, Punetha, Jaya, additional, Grochowski, Christopher M., additional, Du, Haowei, additional, Jolly, Angad, additional, Li, He, additional, Coban‐Akdemir, Zeynep, additional, Sedlazeck, Fritz J., additional, Hunter, Jill V., additional, Jhangiani, Shalini N., additional, Muzny, Donna, additional, Pehlivan, Davut, additional, Posey, Jennifer E., additional, Carvalho, Claudia M. B., additional, Gibbs, Richard A., additional, and Lupski, James R., additional

Published
2023
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20. Long read sequencing and expression studies ofAHDC1deletions in Xia‐Gibbs syndrome reveal a novel genetic regulatory mechanism

Author

Chander, Varuna, primary, Mahmoud, Medhat, additional, Hu, Jianhong, additional, Dardas, Zain, additional, Grochowski, Christopher M., additional, Dawood, Moez, additional, Khayat, Michael M., additional, Li, He, additional, Li, Shoudong, additional, Jhangiani, Shalini, additional, Korchina, Viktoriya, additional, Shen, Hua, additional, Weissenberger, George, additional, Meng, Qingchang, additional, Gingras, Marie‐Claude, additional, Muzny, Donna M., additional, Doddapaneni, Harsha, additional, Posey, Jennifer E., additional, Lupski, James R., additional, Sabo, Aniko, additional, Murdock, David R., additional, Sedlazeck, Fritz J., additional, and Gibbs, Richard A., additional

Published
2022
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21. Back Cover, Volume 43, Issue 7

Author

Lima, Ariadne R., primary, Ferreira, Barbara M., additional, Zhang, Chaofan, additional, Jolly, Angad, additional, Du, Haowei, additional, White, Janson J., additional, Dawood, Moez, additional, Lins, Tulio C., additional, Chiabai, Marcela A., additional, van Beusekom, Ellen, additional, Cordoba, Mara S., additional, Caldas Rosa, Erica C.C., additional, Kayserili, Hulya, additional, Kimonis, Virginia, additional, Wu, Erica, additional, Mellado, Cecilia, additional, Aggarwal, Vineet, additional, Richieri‐Costa, Antonio, additional, Brunoni, Décio, additional, Canó, Talyta M., additional, Jorge, Alexander A. L., additional, Kim, Chong A., additional, Honjo, Rachel, additional, Bertola, Débora R., additional, Dandalo‐Girardi, Raissa M., additional, Bayram, Yavuz, additional, Gezdirici, Alper, additional, Yilmaz‐Gulec, Elif, additional, Gumus, Evren, additional, Yilmaz, Gülay C., additional, Okamoto, Nobuhiko, additional, Ohashi, Hirofumi, additional, Coban–Akdemir, Zeynep, additional, Mitani, Tadahiro, additional, Jhangiani, Shalini N., additional, Muzny, Donna M., additional, Regattieri, Neysa A.P., additional, Pogue, Robert, additional, Pereira, Rinaldo W., additional, Otto, Paulo A., additional, Gibbs, Richard A., additional, Ali, Bassam R., additional, van Bokhoven, Hans, additional, Brunner, Han G., additional, Sutton, V. Reid, additional, Lupski, James R., additional, Vianna‐Morgante, Angela M., additional, Carvalho, Claudia M. B., additional, and Mazzeu, Juliana F., additional

Published
2022
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22. Centers for Mendelian Genomics: A decade of facilitating gene discovery

Author

Baxter, Samantha M., primary, Posey, Jennifer E., additional, Lake, Nicole J., additional, Sobreira, Nara, additional, Chong, Jessica X., additional, Buyske, Steven, additional, Blue, Elizabeth E., additional, Chadwick, Lisa H., additional, Coban-Akdemir, Zeynep H., additional, Doheny, Kimberly F., additional, Davis, Colleen P., additional, Lek, Monkol, additional, Wellington, Christopher, additional, Jhangiani, Shalini N., additional, Gerstein, Mark, additional, Gibbs, Richard A., additional, Lifton, Richard P., additional, MacArthur, Daniel G., additional, Matise, Tara C., additional, Lupski, James R., additional, Valle, David, additional, Bamshad, Michael J., additional, Hamosh, Ada, additional, Mane, Shrikant, additional, Nickerson, Deborah A., additional, Rehm, Heidi L., additional, O’Donnell-Luria, Anne, additional, Adams, Marcia, additional, Aguet, François, additional, Akay, Gulsen, additional, Anderson, Peter, additional, Antonescu, Corina, additional, Arachchi, Harindra M., additional, Atik, Mehmed M., additional, Austin-Tse, Christina A., additional, Babb, Larry, additional, Bacus, Tamara J., additional, Bahrambeigi, Vahid, additional, Balasubramanian, Suganthi, additional, Bayram, Yavuz, additional, Beaudet, Arthur L., additional, Beck, Christine R., additional, Belmont, John W., additional, Below, Jennifer E., additional, Bilguvar, Kaya, additional, Boehm, Corinne D., additional, Boerwinkle, Eric, additional, Boone, Philip M., additional, Bowne, Sara J., additional, Brand, Harrison, additional, Buckingham, Kati J., additional, Byrne, Alicia B., additional, Calame, Daniel, additional, Campbell, Ian M., additional, Cao, Xiaolong, additional, Carvalho, Claudia, additional, Chander, Varuna, additional, Chang, Jaime, additional, Chao, Katherine R., additional, Chinn, Ivan K., additional, Clarke, Declan, additional, Collins, Ryan L., additional, Cummings, Beryl, additional, Dardas, Zain, additional, Dawood, Moez, additional, Delano, Kayla, additional, DiTroia, Stephanie P., additional, Doddapaneni, Harshavardhan, additional, Du, Haowei, additional, Du, Renqian, additional, Duan, Ruizhi, additional, Eldomery, Mohammad, additional, Eng, Christine M., additional, England, Eleina, additional, Evangelista, Emily, additional, Everett, Selin, additional, Fatih, Jawid, additional, Felsenfeld, Adam, additional, Francioli, Laurent C., additional, Frazar, Christian D., additional, Fu, Jack, additional, Gamarra, Emmanuel, additional, Gambin, Tomasz, additional, Gan, Weiniu, additional, Gandhi, Mira, additional, Ganesh, Vijay S., additional, Garimella, Kiran V., additional, Gauthier, Laura D., additional, Giroux, Danielle, additional, Gonzaga-Jauregui, Claudia, additional, Goodrich, Julia K., additional, Gordon, William W., additional, Griffith, Sean, additional, Grochowski, Christopher M., additional, Gu, Shen, additional, Gudmundsson, Sanna, additional, Hall, Stacey J., additional, Hansen, Adam, additional, Harel, Tamar, additional, Harmanci, Arif O., additional, Herman, Isabella, additional, Hetrick, Kurt, additional, Hijazi, Hadia, additional, Horike-Pyne, Martha, additional, Hsu, Elvin, additional, Hu, Jianhong, additional, Huang, Yongqing, additional, Hurless, Jameson R., additional, Jahl, Steve, additional, Jarvik, Gail P., additional, Jiang, Yunyun, additional, Johanson, Eric, additional, Jolly, Angad, additional, Karaca, Ender, additional, Khayat, Michael, additional, Knight, James, additional, Kolar, J. Thomas, additional, Kumar, Sushant, additional, Lalani, Seema, additional, Laricchia, Kristen M., additional, Larkin, Kathryn E., additional, Leal, Suzanne M., additional, Lemire, Gabrielle, additional, Lewis, Richard A., additional, Li, He, additional, Ling, Hua, additional, Lipson, Rachel B., additional, Liu, Pengfei, additional, Lovgren, Alysia Kern, additional, López-Giráldez, Francesc, additional, MacMillan, Melissa P., additional, Mangilog, Brian E., additional, Mano, Stacy, additional, Marafi, Dana, additional, Marosy, Beth, additional, Marshall, Jamie L., additional, Martin, Renan, additional, Marvin, Colby T., additional, Mawhinney, Michelle, additional, McGee, Sean, additional, McGoldrick, Daniel J., additional, Mehaffey, Michelle, additional, Mekonnen, Betselote, additional, Meng, Xiaolu, additional, Mitani, Tadahiro, additional, Miyake, Christina Y., additional, Mohr, David, additional, Morris, Shaine, additional, Mullen, Thomas E., additional, Murdock, David R., additional, Murugan, Mullai, additional, Muzny, Donna M., additional, Myers, Ben, additional, Neira, Juanita, additional, Nguyen, Kevin K., additional, Nielsen, Patrick M., additional, Nudelman, Natalie, additional, O’Heir, Emily, additional, O’Leary, Melanie C., additional, Ongaco, Chrissie, additional, Orange, Jordan, additional, Osei-Owusu, Ikeoluwa A., additional, Paine, Ingrid S., additional, Pais, Lynn S., additional, Paschall, Justin, additional, Patterson, Karynne, additional, Pehlivan, Davut, additional, Pelle, Benjamin, additional, Penney, Samantha, additional, Perez de Acha Chavez, Jorge, additional, Pierce-Hoffman, Emma, additional, Poli, Cecilia M., additional, Punetha, Jaya, additional, Radhakrishnan, Aparna, additional, Richardson, Matthew A., additional, Rodrigues, Eliete, additional, Roote, Gwendolin T., additional, Rosenfeld, Jill A., additional, Ryke, Erica L., additional, Sabo, Aniko, additional, Sanchez, Alice, additional, Schrauwen, Isabelle, additional, Scott, Daryl A., additional, Sedlazeck, Fritz, additional, Serrano, Jillian, additional, Shaw, Chad A., additional, Shelford, Tameka, additional, Shively, Kathryn M., additional, Singer-Berk, Moriel, additional, Smith, Joshua D., additional, Snow, Hana, additional, Snyder, Grace, additional, Solomonson, Matthew, additional, Son, Rachel G., additional, Song, Xiaofei, additional, Stankiewicz, Pawel, additional, Stephan, Taylorlyn, additional, Sutton, V. Reid, additional, Sveden, Abigail, additional, Sánchez, Diana Cornejo, additional, Tackett, Monica, additional, Talkowski, Michael, additional, Threlkeld, Machiko S., additional, Tiao, Grace, additional, Udler, Miriam S., additional, Vail, Laura, additional, Valivullah, Zaheer, additional, Valkanas, Elise, additional, VanNoy, Grace E., additional, Wang, Qingbo S., additional, Wang, Gao, additional, Wang, Lu, additional, Wangler, Michael F., additional, Watts, Nicholas A., additional, Weisburd, Ben, additional, Weiss, Jeffrey M., additional, Wheeler, Marsha M., additional, White, Janson J., additional, Williamson, Clara E., additional, Wilson, Michael W., additional, Wiszniewski, Wojciech, additional, Withers, Marjorie A., additional, Witmer, Dane, additional, Witzgall, Lauren, additional, Wohler, Elizabeth, additional, Wojcik, Monica H., additional, Wong, Isaac, additional, Wood, Jordan C., additional, Wu, Nan, additional, Xing, Jinchuan, additional, Yang, Yaping, additional, Yi, Qian, additional, Yuan, Bo, additional, Zeiger, Jordan E., additional, Zhang, Chaofan, additional, Zhang, Peng, additional, Zhang, Yan, additional, Zhang, Xiaohong, additional, Zhang, Yeting, additional, Zhang, Shifa, additional, Zoghbi, Huda, additional, and van den Veyver, Igna, additional

Published
2022
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23. Additional file 1 of The multiple de novo copy number variant (MdnCNV) phenomenon presents with peri-zygotic DNA mutational signatures and multilocus pathogenic variation

Author

Du, Haowei, Jolly, Angad, Grochowski, Christopher M., Yuan, Bo, Dawood, Moez, Jhangiani, Shalini N., Li, He, Muzny, Donna, Fatih, Jawid M., Coban-Akdemir, Zeynep, Carlin, Mary Esther, Scheuerle, Angela E., Witzl, Karin, Posey, Jennifer E., Pendleton, Matthew, Harrington, Eoghan, Juul, Sissel, Hastings, P. J., Bi, Weimin, Gibbs, Richard A., Sedlazeck, Fritz J., Lupski, James R., Carvalho, Claudia M. B., and Liu, Pengfei

Abstract

Additional file 1. Supplementary methods, clinical description of BAB9637, BAB3097, and BAB9484, Table S1, S3, S5, S6, Figure S1-S9.

Published
2022
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24. Long read sequencing and expression studies of AHDC1 deletions in Xia‐Gibbs syndrome reveal a novel genetic regulatory mechanism.

Author

Chander, Varuna, Mahmoud, Medhat, Hu, Jianhong, Dardas, Zain, Grochowski, Christopher M., Dawood, Moez, Khayat, Michael M., Li, He, Li, Shoudong, Jhangiani, Shalini, Korchina, Viktoriya, Shen, Hua, Weissenberger, George, Meng, Qingchang, Gingras, Marie‐Claude, Muzny, Donna M., Doddapaneni, Harsha, Posey, Jennifer E., Lupski, James R., and Sabo, Aniko

Abstract

Xia‐Gibbs syndrome (XGS; MIM# 615829) is a rare mendelian disorder characterized by Development Delay (DD), intellectual disability (ID), and hypotonia. Individuals with XGS typically harbor de novo protein‐truncating mutations in the AT‐Hook DNA binding motif containing 1 (AHDC1) gene, although some missense mutations can also cause XGS. Large de novo heterozygous deletions that encompass the AHDC1 gene have also been ascribed as diagnostic for the disorder, without substantial evidence to support their pathogenicity. We analyzed 19 individuals with large contiguous deletions involving AHDC1, along with other genes. One individual bore the smallest known contiguous AHDC1 deletion (∼350 Kb), encompassing eight other genes within chr1p36.11 (Feline Gardner‐Rasheed, IFI6, FAM76A, STX12, PPP1R8, THEMIS2, RPA2, SMPDL3B) and terminating within the first intron of AHDC1. The breakpoint junctions and phase of the deletion were identified using both short and long read sequencing (Oxford Nanopore). Quantification of RNA expression patterns in whole blood revealed that AHDC1 exhibited a mono‐allelic expression pattern with no deficiency in overall AHDC1 expression levels, in contrast to the other deleted genes, which exhibited a 50% reduction in mRNA expression. These results suggest that AHDC1 expression in this individual is compensated by a novel regulatory mechanism and advances understanding of mutational and regulatory mechanisms in neurodevelopmental disorders. [ABSTRACT FROM AUTHOR]

Published
2022
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25. Quantitative dissection of multilocus pathogenic variation in an Egyptian infant with severe neurodevelopmental disorder resulting from multiple molecular diagnoses

Author

Herman, Isabella, primary, Jolly, Angad, additional, Du, Haowei, additional, Dawood, Moez, additional, Abdel‐Salam, Ghada M. H., additional, Marafi, Dana, additional, Mitani, Tadahiro, additional, Calame, Daniel G., additional, Coban‐Akdemir, Zeynep, additional, Fatih, Jawid M., additional, Hegazy, Ibrahim, additional, Jhangiani, Shalini N., additional, Gibbs, Richard A., additional, Pehlivan, Davut, additional, Posey, Jennifer E., additional, and Lupski, James R., additional

Published
2021
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26. An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates

Author

Mc Cartney, Ann M., primary, Mahmoud, Medhat, additional, Jochum, Michael, additional, Agustinho, Daniel Paiva, additional, Zorman, Barry, additional, Al Khleifat, Ahmad, additional, Dabbaghie, Fawaz, additional, K Kesharwani, Rupesh, additional, Smolka, Moritz, additional, Dawood, Moez, additional, Albin, Dreycey, additional, Aliyev, Elbay, additional, Almabrazi, Hakeem, additional, Arslan, Ahmed, additional, Balaji, Advait, additional, Behera, Sairam, additional, Billingsley, Kimberley, additional, L Cameron, Daniel, additional, Daw, Joyjit, additional, T. Dawson, Eric, additional, De Coster, Wouter, additional, Du, Haowei, additional, Dunn, Christopher, additional, Esteban, Rocio, additional, Jolly, Angad, additional, Kalra, Divya, additional, Liao, Chunxiao, additional, Liu, Yunxi, additional, Lu, Tsung-Yu, additional, M Havrilla, James, additional, M Khayat, Michael, additional, Marin, Maximillian, additional, Monlong, Jean, additional, Price, Stephen, additional, Rafael Gener, Alejandro, additional, Ren, Jingwen, additional, Sagayaradj, Sagayamary, additional, Sapoval, Nicolae, additional, Sinner, Claude, additional, C. Soto, Daniela, additional, Soylev, Arda, additional, Subramaniyan, Arun, additional, Syed, Najeeb, additional, Tadimeti, Neha, additional, Tater, Pamella, additional, Vats, Pankaj, additional, Vaughn, Justin, additional, Walker, Kimberly, additional, Wang, Gaojianyong, additional, Zeng, Qiandong, additional, Zhang, Shangzhe, additional, Zhao, Tingting, additional, Kille, Bryce, additional, Biederstedt, Evan, additional, Chaisson, Mark, additional, English, Adam, additional, Kronenberg, Zev, additional, J. Treangen, Todd, additional, Hefferon, Timothy, additional, Chin, Chen-Shan, additional, Busby, Ben, additional, and J Sedlazeck, Fritz, additional

Published
2021
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27. Quantitative dissection of multilocus pathogenic variation in an Egyptian infant with severe neurodevelopmental disorder resulting from multiple molecular diagnoses.

Author

Herman, Isabella, Jolly, Angad, Du, Haowei, Dawood, Moez, Abdel‐Salam, Ghada M. H., Marafi, Dana, Mitani, Tadahiro, Calame, Daniel G., Coban‐Akdemir, Zeynep, Fatih, Jawid M., Hegazy, Ibrahim, Jhangiani, Shalini N., Gibbs, Richard A., Pehlivan, Davut, Posey, Jennifer E., and Lupski, James R.

Abstract

Genomic sequencing and clinical genomics have demonstrated that substantial subsets of atypical and/or severe disease presentations result from multilocus pathogenic variation (MPV) causing blended phenotypes. In an infant with a severe neurodevelopmental disorder, four distinct molecular diagnoses were found by exome sequencing (ES). The blended phenotype that includes brain malformation, dysmorphism, and hypotonia was dissected using the Human Phenotype Ontology (HPO). ES revealed variants in CAPN3 (c.259C > G:p.L87V), MUSK (c.1781C > T:p.A594V), NAV2 (c.1996G > A:p.G666R), and ZC4H2 (c.595A > C:p.N199H). CAPN3, MUSK, and ZC4H2 are established disease genes linked to limb‐girdle muscular dystrophy (OMIM# 253600), congenital myasthenia (OMIM# 616325), and Wieacker–Wolff syndrome (WWS; OMIM# 314580), respectively. NAV2 is a retinoic‐acid responsive novel disease gene candidate with biological roles in neurite outgrowth and cerebellar dysgenesis in mouse models. Using semantic similarity, we show that no gene identified by ES individually explains the proband phenotype, but rather the totality of the clinically observed disease is explained by the combination of disease‐contributing effects of the identified genes. These data reveal that multilocus pathogenic variation can result in a blended phenotype with each gene affecting a different part of the nervous system and nervous system‐muscle connection. We provide evidence from this n = 1 study that in patients with MPV and complex blended phenotypes resulting from multiple molecular diagnoses, quantitative HPO analysis can allow for dissection of phenotypic contribution of both established disease genes and novel disease gene candidates not yet proven to cause human disease. [ABSTRACT FROM AUTHOR]

Published
2022
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28. Considerations for reporting variants in novel candidate genes identified during clinical genomic testing

Author

Chong, Jessica X., Berger, Seth I., Baxter, Samantha, Smith, Erica, Xiao, Changrui, Calame, Daniel G., Hawley, Megan H., Rivera-Munoz, E. Andres, DiTroia, Stephanie, Abouhala, Siwaar, Albert, Jessica, Almalvez, Miguel, Alvarez, Raquel, Amin, Mutaz, Anderson, Peter, Aradhya, Swaroop, Ashley, Euan, Assimes, Themistocles, Auriga, Light, Austin-Tse, Christina, Bamshad, Mike, Barseghyan, Hayk, Baxter, Samantha, Behera, Sairam, Beheshti, Shaghayegh, Bejerano, Gill, Berger, Seth, Bernstein, Jon, Best, Sabrina, Blankenmeister, Benjamin, Blue, Elizabeth, Boerwinkle, Eric, Bonkowski, Emily, Bonner, Devon, Boone, Philip, Bornhorst, Miriam, Brand, Harrison, Buckingham, Kati, Calame, Daniel, Carter, Jennefer, Casadei, Silvia, Chadwick, Lisa, Chavez, Clarisa, Chen, Ziwei, Chinn, Ivan, Chong, Jessica, Coban-Akdemir, Zeynep, Cohen, Andrea J., Conner, Sarah, Conomos, Matthew, Coveler, Karen, Cui, Ya Allen, Currin, Sara, Daber, Robert, Dardas, Zain, Davis, Colleen, Dawood, Moez, de Dios, Ivan, de Esch, Celine, Delaney, Meghan, Delot, Emmanuele, DiTroia, Stephanie, Doddapaneni, Harsha, Du, Haowei, Duan, Ruizhi, Dugan-Perez, Shannon, Duong, Nhat, Duyzend, Michael, Eichler, Evan, Emami, Sara, Fraser, Jamie, Fusaro, Vincent, Galey, Miranda, Ganesh, Vijay, Garcia, Brandon, Garimella, Kiran, Gibbs, Richard, Gifford, Casey, Ginsburg, Amy, Goddard, Page, Gogarten, Stephanie, Gogate, Nikhita, Gordon, William, Gorzynski, John E., Greenleaf, William, Grochowski, Christopher, Groopman, Emily, Sousa, Rodrigo Guarischi, Gudmundsson, Sanna, Gulati, Ashima, Hall, Stacey, Harvey, William, Hawley, Megan, Heavner, Ben, Horike-Pyne, Martha, Hu, Jianhong, Huang, Yongqing, Hwang, James, Jarvik, Gail, Jensen, Tanner, Jhangiani, Shalini, Jimenez-Morales, David, Jin, Christopher, Saad, Ahmed K., Kahn-Kirby, Amanda, Kain, Jessica, Kaur, Parneet, Keehan, Laura, Knoblach, Susan, Ko, Arthur, Kundaje, Anshul, Kundu, Soumya, Lancaster, Samuel M., Larsson, Katie, Lee, Arthur, Lemire, Gabrielle, Lewis, Richard, Li, Wei, Li, Yidan, Liu, Pengfei, LoTempio, Jonathan, Lupski, James (Jim), Ma, Jialan, MacArthur, Daniel, Mahmoud, Medhat, Malani, Nirav, Mangilog, Brian, Marafi, Dana, Marmolejos, Sofia, Marten, Daniel, Martinez, Eva, Marvin, Colby, Marwaha, Shruti, Mastrorosa, Francesco Kumara, Matalon, Dena, May, Susanne, McGee, Sean, Meador, Lauren, Mefford, Heather, Mendez, Hector Rodrigo, Miller, Alexander, Miller, Danny E., Mitani, Tadahiro, Montgomery, Stephen, Moyses, Mariana, Munderloh, Chloe, Muzny, Donna, Nelson, Sarah, Nguyen, Thuy-mi P., Nguyen, Jonathan, Nussbaum, Robert, Nykamp, Keith, O'Callaghan, William, O'Heir, Emily, O'Leary, Melanie, Olsen, Jeren, Osei-Owusu, Ikeoluwa, O'Donnell-Luria, Anne, Padhi, Evin, Pais, Lynn, Pan, Miao, Panchal, Piyush, Patterson, Karynne, Payne, Sheryl, Pehlivan, Davut, Petrowski, Paul, Pham, Alicia, Pitsava, Georgia, Podesta, Astaria`Sara, Ponce, Sarah, Porter, Elizabeth, Posey, Jennifer, Prosser, Jaime, Quertermous, Thomas, Rai, Archana, Ramani, Arun, Rehm, Heidi, Reuter, Chloe, Reuter, Jason, Richardson, Matthew, Rivera-Munoz, Andres, Rubio, Oriane, Sabo, Aniko, Salani, Monica, Samocha, Kaitlin, Sanchis-Juan, Alba, Savage, Sarah, Scott, Evette, Scott, Stuart, Sedlazeck, Fritz, Shah, Gulalai, Shojaie, Ali, Singh, Mugdha, Smith, Kevin, Smith, Josh, Snow, Hana, Snyder, Michael, Socarras, Kayla, Starita, Lea, Stark, Brigitte, Stenton, Sarah, Stergachis, Andrew, Stilp, Adrienne, Sutton, V. Reid, Tai, Jui-Cheng, Talkowski, Michael (Mike), Tise, Christina, Tong, Catherine (Cat), Tsao, Philip, Ungar, Rachel, VanNoy, Grace, Vilain, Eric, Voutos, Isabella, Walker, Kim, Wei, Chia-Lin, Weisburd, Ben, Weiss, Jeff, Wellington, Chris, Weng, Ziming, Westheimer, Emily, Wheeler, Marsha, Wheeler, Matthew, Wiel, Laurens, Wilson, Michael, Wojcik, Monica, Wong, Quenna, Xiao, Changrui, Yadav, Rachita, Yi, Qian, Yuan, Bo, Zhao, Jianhua, Zhen, Jimmy, Zhou, Harry, Bamshad, Michael J., and Rehm, Heidi L.

Abstract

Since the first novel gene discovery for a Mendelian condition was made via exome sequencing, the rapid increase in the number of genes known to underlie Mendelian conditions coupled with the adoption of exome (and more recently, genome) sequencing by diagnostic testing labs has changed the landscape of genomic testing for rare diseases. Specifically, many individuals suspected to have a Mendelian condition are now routinely offered clinical ES. This commonly results in a precise genetic diagnosis but frequently overlooks the identification of novel candidate genes. Such candidates are also less likely to be identified in the absence of large-scale gene discovery research programs. Accordingly, clinical laboratories have both the opportunity, and some might argue a responsibility, to contribute to novel gene discovery, which should, in turn, increase the diagnostic yield for many conditions. However, clinical diagnostic laboratories must necessarily balance priorities for throughput, turnaround time, cost efficiency, clinician preferences, and regulatory constraints and often do not have the infrastructure or resources to effectively participate in either clinical translational or basic genome science research efforts. For these and other reasons, many laboratories have historically refrained from broadly sharing potentially pathogenic variants in novel genes via networks such as Matchmaker Exchange, much less reporting such results to ordering providers. Efforts to report such results are further complicated by a lack of guidelines for clinical reporting and interpretation of variants in novel candidate genes. Nevertheless, there are myriad benefits for many stakeholders, including patients/families, clinicians, and researchers, if clinical laboratories systematically and routinely identify, share, and report novel candidate genes. To facilitate this change in practice, we developed criteria for triaging, sharing, and reporting novel candidate genes that are most likely to be promptly validated as underlying a Mendelian condition and translated to use in clinical settings.

Published
2024
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31. Determination of Molecular Structures of HIV Envelope Glycoproteins using Cryo-Electron Tomography and Automated Sub-tomogram Averaging

Author

Meyerson, Joel R., primary, White, Tommi A., primary, Bliss, Donald, primary, Moran, Amy, primary, Bartesaghi, Alberto, primary, Borgnia, Mario J., primary, de la Cruz, M. Jason V., primary, Schauder, David, primary, Hartnell, Lisa M., primary, Nandwani, Rachna, primary, Dawood, Moez, primary, Kim, Brianna, primary, Kim, Jun Hong, primary, Sununu, John, primary, Yang, Lisa, primary, Bhatia, Siddhant, primary, Subramaniam, Carolyn, primary, Hurt, Darrell E., primary, Gaudreault, Laurent, primary, and Subramaniam, Sriram, primary

Published
2011
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32. GREGoR: Accelerating Genomics for Rare Diseases.

Author

Dawood M, Heavner B, Wheeler MM, Ungar RA, LoTempio J, Wiel L, Berger S, Bernstein JA, Chong JX, Délot EC, Eichler EE, Gibbs RA, Lupski JR, Shojaie A, Talkowski ME, Wagner AH, Wei CL, Wellington C, Wheeler MT, Carvalho CMB, Gifford CA, May S, Miller DE, Rehm HL, Sedlazeck FJ, Vilain E, O'Donnell-Luria A, Posey JE, Chadwick LH, Bamshad MJ, and Montgomery SB

Abstract

Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in DNA sequencing, development of new computational and experimental approaches to prioritize genes and genetic variants, and increased global exchange of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis. The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium was initiated to study thousands of challenging rare disease cases and families and apply, standardize, and evaluate emerging genomics technologies and analytics to accelerate their adoption in clinical practice. Further, all data generated, currently representing ~7500 individuals from ~3000 families, is rapidly made available to researchers worldwide via the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) to catalyze global efforts to develop approaches for genetic diagnoses in rare diseases (https://gregorconsortium.org/data). The majority of these families have undergone prior clinical genetic testing but remained unsolved, with most being exome-negative. Here, we describe the collaborative research framework, datasets, and discoveries comprising GREGoR that will provide foundational resources and substrates for the future of rare disease genomics.

Published
2024

33. Improving Automated Deep Phenotyping Through Large Language Models Using Retrieval Augmented Generation.

Author

Garcia BT, Westerfield L, Yelemali P, Gogate N, Andres Rivera-Munoz E, Du H, Dawood M, Jolly A, Lupski JR, and Posey JE

Abstract

Background: Diagnosing rare genetic disorders relies on precise phenotypic and genotypic analysis, with the Human Phenotype Ontology (HPO) providing a standardized language for capturing clinical phenotypes. Traditional HPO tools, such as Doc2HPO and ClinPhen, employ concept recognition to automate phenotype extraction but struggle with incomplete phenotype assignment, often requiring intensive manual review. While large language models (LLMs) hold promise for more context-driven phenotype extraction, they are prone to errors and "hallucinations," making them less reliable without further refinement. We present RAG-HPO, a Python-based tool that leverages Retrieval-Augmented Generation (RAG) to elevate LLM accuracy in HPO term assignment, bypassing the limitations of baseline models while avoiding the time and resource intensive process of fine-tuning. RAG-HPO integrates a dynamic vector database, allowing real-time retrieval and contextual matching., Methods: The high-dimensional vector database utilized by RAG-HPO includes >54,000 phenotypic phrases mapped to HPO IDs, derived from the HPO database and supplemented with additional validated phrases. The RAG-HPO workflow uses an LLM to first extract phenotypic phrases that are then matched via semantic similarity to entries within a vector database before providing best term matches back to the LLM as context for final HPO term assignment. A benchmarking dataset of 120 published case reports with 1,792 manually-assigned HPO terms was developed, and the performance of RAG-HPO measured against existing published tools Doc2HPO, ClinPhen, and FastHPOCR., Results: In evaluations, RAG-HPO, powered by Llama-3 70B and applied to a set of 120 case reports, achieved a mean precision of 0.84, recall of 0.78, and an F1 score of 0.80-significantly surpassing conventional tools (p<0.00001). False positive HPO term identification occurred for 15.8% (256/1,624) of terms, of which only 2.7% (7/256) represented hallucinations, and 33.6% (86/256) unrelated terms; the remainder of false positives (63.7%, 163/256) were relative terms of the target term., Conclusions: RAG-HPO is a user-friendly, adaptable tool designed for secure evaluation of clinical text and outperforms standard HPO-matching tools in precision, recall, and F1. Its enhanced precision and recall represent a substantial advancement in phenotypic analysis, accelerating the identification of genetic mechanisms underlying rare diseases and driving progress in genetic research and clinical genomics., Competing Interests: Competing interests: The Department of Molecular & Human Genetics at Baylor College of Medicine receives revenue from clinical genetic testing conducted at Baylor Genetics Laboratories. JRL serves on the Scientific Advisory Board of Baylor Genetics. J.R.L. has stock ownership in 23andMe, is a paid consultant for Genome International, and is a co-inventor on multiple United States and European patents related to molecular diagnostics for inherited neuropathies, eye diseases, genomic disorders and bacterial genomic fingerprinting. J.E.P. is a member of the advisory board for MaddieBio. Other authors have no potential conflicts to report.

Published
2024
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34. Defining and Reducing Variant Classification Disparities.

Author

Dawood M, Fayer S, Pendyala S, Post M, Kalra D, Patterson K, Venner E, Muffley LA, Fowler DM, Rubin AF, Posey JE, Plon SE, Lupski JR, Gibbs RA, Starita LM, Robles-Espinoza CD, Coyote-Maestas W, and Gallego Romero I

Abstract

Background: Multiplexed Assays of Variant Effects (MAVEs) can test all possible single variants in a gene of interest. The resulting saturation-style data may help resolve variant classification disparities between populations, especially for variants of uncertain significance (VUS)., Methods: We analyzed clinical significance classifications in 213,663 individuals of European-like genetic ancestry versus 206,975 individuals of non-European-like genetic ancestry from All of Us and the Genome Aggregation Database. Then, we incorporated clinically calibrated MAVE data into the Clinical Genome Resource's Variant Curation Expert Panel rules to automate VUS reclassification for BRCA1, TP53, and PTEN ., Results: Using two orthogonal statistical approaches, we show a higher prevalence ( p ≤5.95e-06) of VUS in individuals of non-European-like genetic ancestry across all medical specialties assessed in all three databases. Further, in the non-European-like genetic ancestry group, higher rates of Benign or Likely Benign and variants with no clinical designation ( p ≤2.5e-05) were found across many medical specialties, whereas Pathogenic or Likely Pathogenic assignments were higher in individuals of European-like genetic ancestry ( p ≤2.5e-05). Using MAVE data, we reclassified VUS in individuals of non-European-like genetic ancestry at a significantly higher rate in comparison to reclassified VUS from European-like genetic ancestry ( p =9.1e-03) effectively compensating for the VUS disparity. Further, essential code analysis showed equitable impact of MAVE evidence codes but inequitable impact of allele frequency ( p =7.47e-06) and computational predictor ( p =6.92e-05) evidence codes for individuals of non-European-like genetic ancestry., Conclusions: Generation of saturation-style MAVE data should be a priority to reduce VUS disparities and produce equitable training data for future computational predictors.

Published
2024
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35. RNA Sequencing in B-Cell Lymphomas.

Author

Huang DW, Dawood M, Johnson CA, and Schmitz R

Subjects
Alternative Splicing, Gene Expression Profiling methods, Gene Fusion, Genes, Immunoglobulin, High-Throughput Nucleotide Sequencing methods, Humans, Mutation, Polymorphism, Single Nucleotide, Software, Transcriptome, Genomics methods, Lymphoma, B-Cell genetics, RNA, Messenger genetics, Sequence Analysis, RNA methods
Abstract

High-throughput mRNA sequencing (RNA-Seq) provides both qualitative and quantitative evaluation of the transcriptome. This method uses complementary DNA (cDNA) to generate several millions of short sequence reads that are aligned to a reference genome allowing the comprehensive characterization of the transcripts in a cell. RNA-Seq has a wide variety of applications which lead to a pervasive adoption of this method well beyond the genomics community and a deployment of this technique as a standard part of the toolkit applied in life sciences. This chapter describes a protocol to perform mRNA sequencing using the Illumina NextSeq or MiSeq platforms, presents sequencing data quality metrics, and outlines a bioinformatic pipeline for sequence alignment, digital gene expression, identification of gene fusions, detection of transcript isoforms, description and annotation of genetic variants, and de novo immunoglobulin gene assembly.

Published
2019
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