24 results on '"Son, Rachel"'
Search Results
2. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes.
- Author
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Goodrich, Julia K, Singer-Berk, Moriel, Son, Rachel, Sveden, Abigail, Wood, Jordan, England, Eleina, Cole, Joanne B, Weisburd, Ben, Watts, Nick, Caulkins, Lizz, Dornbos, Peter, Koesterer, Ryan, Zappala, Zachary, Zhang, Haichen, Maloney, Kristin A, Dahl, Andy, Aguilar-Salinas, Carlos A, Atzmon, Gil, Barajas-Olmos, Francisco, Barzilai, Nir, Blangero, John, Boerwinkle, Eric, Bonnycastle, Lori L, Bottinger, Erwin, Bowden, Donald W, Centeno-Cruz, Federico, Chambers, John C, Chami, Nathalie, Chan, Edmund, Chan, Juliana, Cheng, Ching-Yu, Cho, Yoon Shin, Contreras-Cubas, Cecilia, Córdova, Emilio, Correa, Adolfo, DeFronzo, Ralph A, Duggirala, Ravindranath, Dupuis, Josée, Garay-Sevilla, Ma Eugenia, García-Ortiz, Humberto, Gieger, Christian, Glaser, Benjamin, González-Villalpando, Clicerio, Gonzalez, Ma Elena, Grarup, Niels, Groop, Leif, Gross, Myron, Haiman, Christopher, Han, Sohee, Hanis, Craig L, Hansen, Torben, Heard-Costa, Nancy L, Henderson, Brian E, Hernandez, Juan Manuel Malacara, Hwang, Mi Yeong, Islas-Andrade, Sergio, Jørgensen, Marit E, Kang, Hyun Min, Kim, Bong-Jo, Kim, Young Jin, Koistinen, Heikki A, Kooner, Jaspal Singh, Kuusisto, Johanna, Kwak, Soo-Heon, Laakso, Markku, Lange, Leslie, Lee, Jong-Young, Lee, Juyoung, Lehman, Donna M, Linneberg, Allan, Liu, Jianjun, Loos, Ruth JF, Lyssenko, Valeriya, Ma, Ronald CW, Martínez-Hernández, Angélica, Meigs, James B, Meitinger, Thomas, Mendoza-Caamal, Elvia, Mohlke, Karen L, Morris, Andrew D, Morrison, Alanna C, Ng, Maggie CY, Nilsson, Peter M, O'Donnell, Christopher J, Orozco, Lorena, Palmer, Colin NA, Park, Kyong Soo, Post, Wendy S, Pedersen, Oluf, Preuss, Michael, Psaty, Bruce M, Reiner, Alexander P, Revilla-Monsalve, Cristina, Rich, Stephen S, Rotter, Jerome I, Saleheen, Danish, Schurmann, Claudia, Sim, Xueling, Sladek, Rob, and Small, Kerrin S
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AMP-T2D-GENES Consortia ,Humans ,Diabetes Mellitus ,Type 2 ,Genetic Predisposition to Disease ,Risk Assessment ,Genotype ,Multifactorial Inheritance ,Penetrance ,Adult ,Dyslipidemias ,Exome ,Biomarkers ,Biological Variation ,Population - Abstract
Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.
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- 2021
3. Advanced variant classification framework reduces the false positive rate of predicted loss-of-function variants in population sequencing data
- Author
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Singer-Berk, Moriel, Gudmundsson, Sanna, Baxter, Samantha, Seaby, Eleanor G., England, Eleina, Wood, Jordan C., Son, Rachel G., Watts, Nicholas A., Karczewski, Konrad J., Harrison, Steven M., MacArthur, Daniel G., Rehm, Heidi L., and O’Donnell-Luria, Anne
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- 2023
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4. Variant Classification for Pompe disease; ACMG/AMP specifications from the ClinGen Lysosomal Diseases Variant Curation Expert Panel
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Goldstein, Jennifer L., McGlaughon, Jennifer, Kanavy, Dona, Goomber, Shelly, Pan, Yinghong, Deml, Brett, Donti, Taraka, Kearns, Liz, Seifert, Bryce A., Schachter, Miriam, Son, Rachel G., Thaxton, Courtney, Udani, Rupa, Bali, Deeksha, Baudet, Heather, Caggana, Michele, Hung, Christina, Kyriakopoulou, Lianna, Rosenblum, Lynne, Steiner, Robert, Pinto e Vairo, Filippo, Wang, Yang, Watson, Michael, Fernandez, Raquel, Weaver, Meredith, Clarke, Lorne, and Rehder, Catherine
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- 2023
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5. Centers for Mendelian Genomics: A decade of facilitating gene discovery
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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
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- 2022
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6. Understanding the Design of Fear Appeals by Applying the Extended Parallel Process Model: A Qualitative Analysis of COVID-19 Public Service Announcements
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Chen, Xiaobei, primary, Son, Rachel, additional, Xiao, Zhecheng, additional, Treise, Debbie, additional, and Alpert, Jordan M, additional
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- 2023
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7. Understanding the Design of Fear Appeals by Applying the Extended Parallel Process Model: A Qualitative Analysis of COVID-19 Public Service Announcements.
- Author
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Chen, Xiaobei, Son, Rachel, Xiao, Zhecheng, Treise, Debbie, and Alpert, Jordan M
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PUBLIC service advertising , *COVID-19 , *THEMATIC analysis , *RESPONSIBILITY , *NONPROFIT organizations - Abstract
Purpose: Identify how early COVID-19 public health messages incorporated in the tenets of the extended parallel process model (EPPM). Setting: YouTube videos developed by governmental departments, medical institutions, news organizations, and non-profit organizations in the United States were aggregated. Method: This qualitative study conducted a keyword search to identify public service announcements (PSAs). The sample was further refined after searching PSAs that contained fear appeals. A thematic analysis was performed by using the constant comparative method. Sample: A total of forty-three videos was included in the final analysis. Result: Two themes emerged regarding messages aimed at arousing the perceived severity of threat. These themes include emphasizing the consequences of being infected and utilizing personal narratives. Perceived susceptibility of threat was aroused by emphasizing that some groups have higher risks than others. Two themes emerged around arousing perceived response efficacy: (1) the authority of professionals; and (2) altruism and personal responsibility. One way was identified to arouse perceived self-efficacy, which is informing the protective measures. Conclusion: Multiple strategies were used in PSAs about COVID-19 to arouse fear during the early stages of the pandemic. The utilization of self-efficacy was oversimplified, by not providing details about the rationale for the recommended behavior. [ABSTRACT FROM AUTHOR]
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- 2024
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8. Engaging with Bot Narratives: The Audience Experience and Perceptions of Machine Script Writers
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Son, Rachel, primary, Yang, Qingyuan, additional, Vollmer, Ben T., additional, and Johnson, Benjamin K., additional
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- 2023
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9. Exposure to and Effects of International Entertainment on Streaming Platforms: A Review and Agenda for Future Media Psychology Research
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Son, Rachel, primary, Moss, Chelsea, additional, and Johnson, Benjamin K., additional
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- 2023
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10. Engaging with Bot Narratives: The Audience Experience and Perceptions of Machine Script Writers
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Son, Rachel, Johnson, Benjamin, Yang, Qingyuan, and Vollmer, Ben
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bepress|Social and Behavioral Sciences|Communication|Communication Technology and New Media ,bepress|Social and Behavioral Sciences|Communication|Mass Communication ,bepress|Social and Behavioral Sciences ,bepress|Social and Behavioral Sciences|Communication - Abstract
Use of AI technology for entertainment purposes is becoming more prevalent, which raises questions about how engagement with machine-generated narratives influences audiences’ enjoyment and perception of the story’s creator. We conducted a 2 (human author vs. bot author) x 2 (human label vs. bot label) between-subjects experiment to examine how actual authorship and labels about authorship affect narrative engagement and enjoyment as well as perceived authenticity, humanness, and mind of the author. Results indicate that the authorship label had effects on readers’ perceptions of the author, but whether the story was written by a human or ChatGPT did not. Engagement and enjoyment were consistent across authors and labels. We also found no support for narrative engagement as a mediator on enjoyment or perceptions of author.
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- 2023
11. Exposure to and Effects of International Entertainment on Streaming Platforms: A Review and Agenda for Future Media Psychology Research
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Moss, Chelsea, Son, Rachel, and Johnson, Benjamin
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bepress|Social and Behavioral Sciences|Communication|Mass Communication ,bepress|Social and Behavioral Sciences ,bepress|Social and Behavioral Sciences|Communication ,bepress|Social and Behavioral Sciences|Communication|International and Intercultural Communication ,bepress|Social and Behavioral Sciences|Communication|Broadcast and Video Studies - Abstract
The chapter draws from relevant literature in media psychology on the selection, use, and effects of entertainment media to inform an agenda for future research into international content on streaming services. Viewers may be less likely to select foreign over domestic narratives, yet a variety of motivational factors, message factors, and situational factors can contribute to interest in international entertainment. Next, the entertainment experience entails information processing, including character, narrative, and emotional engagement. We examine available evidence and theory about how international entertainment is processed by viewers. After processing, these narratives can yield affective, behavioral, and cognitive media effects. The chapter examines potential effects of streaming international entertainment, as well as the potential for dynamic effects over time.
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- 2023
12. Advanced variant classification framework reduces the false positive rate of predicted loss of function (pLoF) variants in population sequencing data
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Singer-Berk, Moriel, primary, Gudmundsson, Sanna, additional, Baxter, Samantha, additional, Seaby, Eleanor G, additional, Wood, Jordan C, additional, Son, Rachel G, additional, Watts, Nicholas A, additional, Karczewski, Konrad, additional, Harrison, Steven, additional, MacArthur, Daniel G, additional, Rehm, Heidi L, additional, and O'Donnell-Luria, Anne, additional
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- 2023
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13. Automated Model-Based 3D Scan Planning for Prefabricated Building Components
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Son, Rachel Hyo, primary and Han, Kevin, additional
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- 2023
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14. P559: Improved classification framework demonstrates many population predicted loss of function (pLoF) variants in genomic sequencing do not result in LoF*
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Singer-Berk, Moriel, primary, Gudmundsson, Sanna, additional, Baxter, Samantha, additional, Seaby, Eleanor, additional, England, Eleina, additional, Wood, Jordan, additional, Son, Rachel, additional, Watts, Nicholas, additional, Karczewski, Konrad, additional, Harrison, Steven, additional, MacArthur, Daniel, additional, Rehm, Heidi, additional, and O'Donnell-Luria, Anne, additional
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- 2023
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15. Acute Recurrent Pancreatitis in a Child With INS-Related Monogenic Diabetes and a Heterozygous Pathogenic CFTR Mutation
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Son, Rachel G, primary, Kandasamy, Balamurugan, additional, Bowden, Tiana, additional, Azzam, Ruba K, additional, Oakes, Scott A, additional, Philipson, Louis H, additional, and Greeley, Siri Atma W, additional
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- 2022
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16. Frequency of use of the religious exemption in New Jersey cases of determination of brain death
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Son, Rachel Grace and Setta, Susan M.
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- 2018
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17. Understanding K-Drama Audiences in the United States: Dimensions of Self-Concept as Motivations for Viewing
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Son, Rachel and Johnson, Benjamin
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Mass Communication ,International and Intercultural Communication ,Communication ,Broadcast and Video Studies ,Social and Behavioral Sciences - Abstract
The purpose of the study is to understand how characteristics of American adults’ self-concepts (i.e., identity maintenance fatigue, self-control, self-affirmation, hedonic and eudaimonic motivations) relates to how much they watch K-dramas (South Korea television series).
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- 2022
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18. Centers for Mendelian Genomics: A decade of facilitating gene discovery
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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
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- 2022
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19. Automated Visual Inspection Planning for Prefabricated Modules with 3D Laser Scanning
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Son, Rachel Hyo, primary and Han, Kevin, additional
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- 2022
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20. Acute Recurrent Pancreatitis in a Child With INS-Related Monogenic Diabetes and a Heterozygous Pathogenic CFTR Mutation.
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Son, Rachel G, Kandasamy, Balamurugan, Bowden, Tiana, Azzam, Ruba K, Oakes, Scott A, Philipson, Louis H, and Greeley, Siri Atma W
- Abstract
Given the close anatomical and physiological links between the exocrine and endocrine pancreas, diseases of 1 compartment often affect the other through mechanisms that remain poorly understood. Pancreatitis has been associated with both type 1 and type 2 diabetes, but its association with monogenic diabetes is unknown. Patients heterozygous for pathogenic CFTR variants are cystic fibrosis carriers and have been reported to have an increased risk of acute pancreatitis. We describe a 12-year-old patient with monogenic neonatal diabetes due to a pathogenic heterozygous paternally inherited mutation of the insulin gene (INS), c.94 G > A (p.Gly32Ser), who experienced 3 recurrent episodes of acute pancreatitis over 7 months in conjunction with poor glycemic control, despite extensive efforts to improve glycemic control in the past 4 years. Intriguingly, the maternal side of the family has an extensive history of adult-onset pancreatitis consistent with autosomal dominant inheritance and the proband is heterozygous for a maternally inherited, CFTR variant c.3909C > G (p.Asn1303Lys). Paternally inherited monogenic neonatal diabetes may have promoted earlier age-of-onset of pancreatitis in this pediatric patient compared to maternal relatives with adult-onset acute pancreatitis. Further study is needed to clarify how separate pathophysiologies associated with INS and CFTR mutations influence interactions between the endocrine and exocrine pancreas. [ABSTRACT FROM AUTHOR]
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- 2023
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21. Image Acquisition Planning for Image-based 3D Reconstruction Using a Robotic Arm
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Son, Rachel Hyo, primary and Han, Kevin, additional
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- 2021
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22. Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes
- Author
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Goodrich, Julia K., Singer-Berk, Moriel, Son, Rachel, Sveden, Abigail, Wood, Jordan, England, Eleina, Cole, Joanne B., Weisburd, Ben, Watts, Nick, Caulkins, Lizz, Dornbos, Peter, Koesterer, Ryan, Zappala, Zachary, Zhang, Haichen, Maloney, Kristin A., Dahl, Andy, Aguilar-Salinas, Carlos A., Atzmon, Gil, Barajas-Olmos, Francisco, Barzilai, Nir, Blangero, John, Boerwinkle, Eric, Bonnycastle, Lori L., Bottinger, Erwin, Bowden, Donald W., Centeno-Cruz, Federico, Chambers, John C., Chami, Nathalie, Chan, Edmund, Chan, Juliana, Cheng, Ching Yu, Cho, Yoon Shin, Contreras-Cubas, Cecilia, Córdova, Emilio, Correa, Adolfo, DeFronzo, Ralph A., Duggirala, Ravindranath, Dupuis, Josée, Garay-Sevilla, Ma Eugenia, García-Ortiz, Humberto, Gieger, Christian, Glaser, Benjamin, González-Villalpando, Clicerio, Gonzalez, Ma Elena, Grarup, Niels, Groop, Leif, Gross, Myron, Hansen, Torben, Linneberg, Allan, Pedersen, Oluf, Goodrich, Julia K., Singer-Berk, Moriel, Son, Rachel, Sveden, Abigail, Wood, Jordan, England, Eleina, Cole, Joanne B., Weisburd, Ben, Watts, Nick, Caulkins, Lizz, Dornbos, Peter, Koesterer, Ryan, Zappala, Zachary, Zhang, Haichen, Maloney, Kristin A., Dahl, Andy, Aguilar-Salinas, Carlos A., Atzmon, Gil, Barajas-Olmos, Francisco, Barzilai, Nir, Blangero, John, Boerwinkle, Eric, Bonnycastle, Lori L., Bottinger, Erwin, Bowden, Donald W., Centeno-Cruz, Federico, Chambers, John C., Chami, Nathalie, Chan, Edmund, Chan, Juliana, Cheng, Ching Yu, Cho, Yoon Shin, Contreras-Cubas, Cecilia, Córdova, Emilio, Correa, Adolfo, DeFronzo, Ralph A., Duggirala, Ravindranath, Dupuis, Josée, Garay-Sevilla, Ma Eugenia, García-Ortiz, Humberto, Gieger, Christian, Glaser, Benjamin, González-Villalpando, Clicerio, Gonzalez, Ma Elena, Grarup, Niels, Groop, Leif, Gross, Myron, Hansen, Torben, Linneberg, Allan, and Pedersen, Oluf
- Abstract
Hundreds of thousands of genetic variants have been reported to cause severe monogenic diseases, but the probability that a variant carrier develops the disease (termed penetrance) is unknown for virtually all of them. Additionally, the clinical utility of common polygenetic variation remains uncertain. Using exome sequencing from 77,184 adult individuals (38,618 multi-ancestral individuals from a type 2 diabetes case-control study and 38,566 participants from the UK Biobank, for whom genotype array data were also available), we apply clinical standard-of-care gene variant curation for eight monogenic metabolic conditions. Rare variants causing monogenic diabetes and dyslipidemias display effect sizes significantly larger than the top 1% of the corresponding polygenic scores. Nevertheless, penetrance estimates for monogenic variant carriers average 60% or lower for most conditions. We assess epidemiologic and genetic factors contributing to risk prediction in monogenic variant carriers, demonstrating that inclusion of polygenic variation significantly improves biomarker estimation for two monogenic dyslipidemias.
- Published
- 2021
23. What prevents a person from becoming an immigration activist?: Understanding the impact fear of isolation and the level of privacy has on individuals
- Author
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Son, Rachel
- Subjects
- Communication and Journalism
- Abstract
The current study aims at gaining a deeper understanding of the impact of spiral of silence on social media regarding a specific immigration issue; refugees or asylum-seekers in the United States. There is a focus on how partisanship, issue importance, privacy, and fear of isolation can predict people’s willingness to express an opinion (WTEO) or their willingness to self-censor (WTSC). A hierarchical multiple regression (controlling for demographics) finds that partisanship does not have a significant influence on people’s WTEO or WTSC, however, there are relationships between WTEO or WTSC and the other predictor variables. The study supports the findings of previous research, which suggests the framework spiral of silence theory is applicable to social media.
- Published
- 2020
24. Advanced variant classification framework reduces the false positive rate of predicted loss of function (pLoF) variants in population sequencing data.
- Author
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Singer-Berk M, Gudmundsson S, Baxter S, Seaby EG, England E, Wood JC, Son RG, Watts NA, Karczewski KJ, Harrison SM, MacArthur DG, Rehm HL, and O'Donnell-Luria A
- Abstract
Predicted loss of function (pLoF) variants are highly deleterious and play an important role in disease biology, but many of these variants may not actually result in loss-of-function. Here we present a framework that advances interpretation of pLoF variants in research and clinical settings by considering three categories of LoF evasion: (1) predicted rescue by secondary sequence properties, (2) uncertain biological relevance, and (3) potential technical artifacts. We also provide recommendations on adjustments to ACMG/AMP guidelines's PVS1 criterion. Applying this framework to all high-confidence pLoF variants in 22 autosomal recessive disease-genes from the Genome Aggregation Database (gnomAD, v2.1.1) revealed predicted LoF evasion or potential artifacts in 27.3% (304/1,113) of variants. The major reasons were location in the last exon, in a homopolymer repeat, in low per-base expression (pext) score regions, or the presence of cryptic splice rescues. Variants predicted to be potential artifacts or to evade LoF were enriched for ClinVar benign variants. PVS1 was downgraded in 99.4% (162/163) of LoF evading variants assessed, with 17.2% (28/163) downgraded as a result of our framework, adding to previous guidelines. Variant pathogenicity was affected (mostly from likely pathogenic to VUS) in 20 (71.4%) of these 28 variants. This framework guides assessment of pLoF variants beyond standard annotation pipelines, and substantially reduces false positive rates, which is key to ensure accurate LoF variant prediction in both a research and clinical setting.
- Published
- 2023
- Full Text
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