14 results on '"Digna Velez Edwards"'
Search Results
2. Leveraging Electronic Health Records to Learn Progression Path for Severe Maternal Morbidity.
- Author
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Cheng Gao, Sarah Osmundson, Xiaowei Yan, Digna Velez Edwards, Bradley A. Malin, and You Chen
- Published
- 2019
- Full Text
- View/download PDF
3. Learning to Identify Severe Maternal Morbidity from Electronic Health Records.
- Author
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Cheng Gao, Sarah Osmundson, Xiaowei Yan, Digna Velez Edwards, Bradley A. Malin, and You Chen
- Published
- 2019
- Full Text
- View/download PDF
4. Deep learning predicts extreme preterm birth from electronic health records.
- Author
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Cheng Gao, Sarah Osmundson, Digna Velez Edwards, Gretchen Purcell Jackson, Bradley A. Malin, and You Chen
- Published
- 2019
- Full Text
- View/download PDF
5. Learning the impact of acute and chronic diseases on forecasting neonatal encephalopathy.
- Author
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Eugene Jeong, Sarah Osmundson, Cheng Gao, Digna Velez Edwards, Bradley A. Malin, and You Chen
- Published
- 2021
- Full Text
- View/download PDF
6. Table S8 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
- Author
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Jirong Long, Wei Zheng, Paul D.P. Pharoah, Thomas A. Sellers, Georgia Chenevix-Trench, Ellen L. Goode, Andrew Berchuck, Antonis C. Antoniou, Simon A. Gayther, Kristin K. Zorn, Drakoulis Yannoukakos, Anna H. Wu, Alicja Wolk, Emily White, Nicolas Wentzensen, Jeffrey N. Weitzel, Penelope M. Webb, Digna Velez Edwards, Ana Vega, Adriaan Vanderstichele, Elizabeth J. van Rensburg, Shelley S. Tworoger, Nadine Tung, Antonia Trichopoulou, Amanda E. Toland, Marc Tischkowitz, Mads Thomassen, Soo H. Teo, Manuel R. Teixeira, Anthony J. Swerdlow, Rebecca Sutphen, Amanda B. Spurdle, Melissa C. Southey, Honglin Song, Christian F. Singer, Jacques Simard, Weiva Sieh, Priyanka Sharma, Veronica W. Setiawan, Rita K. Schmutzler, Dale P. Sandler, Iwona K. Rzepecka, Mary Anne Rossing, Matti A. Rookus, Isabelle Romieu, Cristina Rodríguez-Antona, Gustavo C. Rodriguez, Harvey Risch, Gad Rennert, Susan J. Ramus, Miquel Angel Pujana, Catherine M. Phelan, Paolo Peterlongo, Tanja Pejovic, Petra H.M. Peeters, Michael T. Parsons, Sue K. Park, Ana Osorio, Håkan Olsson, Sara H. Olson, Olufunmilayo I. Olopade, Edith Olah, Kenneth Offit, Robert L. Nussbaum, Liene Nikitina-Zake, Finn C. Nielsen, Heli Nevanlinna, Susan L. Neuhausen, Marco Montagna, Francesmary Modugno, Melissa A. Merritt, Iain A. McNeish, Lesley McGuffog, Taymaa May, Amalia Mattiello, Douglas A. Levine, Fabienne Lesueur, Goska Leslie, Nhu D. Le, Ava Kwong, Susanne K. Kjaer, Lambertus A. Kiemeney, Linda E. Kelemen, Beth Y. Karlan, Paul James, Anna Jakubowska, Claudine Isaacs, Evgeny N. Imyanitov, David G. Huntsman, Peter J. Hulick, Antoinette Hollestelle, Claus K. Høgdall, Michelle A.T. Hildebrandt, Florian Heitz, Ute Hamann, Jacek Gronwald, Mark H. Greene, Marc T. Goodman, David E. Goldgar, Andrew K. Godwin, Graham G. Giles, Judy Garber, Patricia A. Ganz, Eitan Friedman, George Fountzilas, Renée T. Fortner, Peter A. Fasching, Diana M. Eccles, Douglas F. Easton, Thilo Dörk, Susan M. Domchek, Orland Diez, Joe Dennis, Anna deFazio, Mary B. Daly, Daniel W. Cramer, Fergus J. Couch, Kathleen B.M. Claes, Jenny Chang-Claude, Ian Campbell, Maria A. Caligo, Trinidad Caldes, Ralf Butzow, James Brenton, Line Bjorge, Javier Benitez, Daniel R. Barnes, Rosa B. Barkardottir, Elisa V. Bandera, Banu K. Arun, Hoda Anton-Culver, Irene L. Andrulis, Kirsten B. Moysich, Jamie K. Teer, Brett M. Reid, Jennifer B. Permuth, Yian A. Chen, Hae Kyung Im, Joellen M. Schildkraut, Bingshan Li, Xingyi Guo, Lang Wu, Alicia Beeghly-Fadiel, and Yingchang Lu
- Abstract
Association results between minor alleles of 467 variants incorportated in cross tissue gene expression prediction model for the gene of CRHR1.
- Published
- 2023
7. Online Supplementary Materials from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
- Author
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Jirong Long, Wei Zheng, Paul D.P. Pharoah, Thomas A. Sellers, Georgia Chenevix-Trench, Ellen L. Goode, Andrew Berchuck, Antonis C. Antoniou, Simon A. Gayther, Kristin K. Zorn, Drakoulis Yannoukakos, Anna H. Wu, Alicja Wolk, Emily White, Nicolas Wentzensen, Jeffrey N. Weitzel, Penelope M. Webb, Digna Velez Edwards, Ana Vega, Adriaan Vanderstichele, Elizabeth J. van Rensburg, Shelley S. Tworoger, Nadine Tung, Antonia Trichopoulou, Amanda E. Toland, Marc Tischkowitz, Mads Thomassen, Soo H. Teo, Manuel R. Teixeira, Anthony J. Swerdlow, Rebecca Sutphen, Amanda B. Spurdle, Melissa C. Southey, Honglin Song, Christian F. Singer, Jacques Simard, Weiva Sieh, Priyanka Sharma, Veronica W. Setiawan, Rita K. Schmutzler, Dale P. Sandler, Iwona K. Rzepecka, Mary Anne Rossing, Matti A. Rookus, Isabelle Romieu, Cristina Rodríguez-Antona, Gustavo C. Rodriguez, Harvey Risch, Gad Rennert, Susan J. Ramus, Miquel Angel Pujana, Catherine M. Phelan, Paolo Peterlongo, Tanja Pejovic, Petra H.M. Peeters, Michael T. Parsons, Sue K. Park, Ana Osorio, Håkan Olsson, Sara H. Olson, Olufunmilayo I. Olopade, Edith Olah, Kenneth Offit, Robert L. Nussbaum, Liene Nikitina-Zake, Finn C. Nielsen, Heli Nevanlinna, Susan L. Neuhausen, Marco Montagna, Francesmary Modugno, Melissa A. Merritt, Iain A. McNeish, Lesley McGuffog, Taymaa May, Amalia Mattiello, Douglas A. Levine, Fabienne Lesueur, Goska Leslie, Nhu D. Le, Ava Kwong, Susanne K. Kjaer, Lambertus A. Kiemeney, Linda E. Kelemen, Beth Y. Karlan, Paul James, Anna Jakubowska, Claudine Isaacs, Evgeny N. Imyanitov, David G. Huntsman, Peter J. Hulick, Antoinette Hollestelle, Claus K. Høgdall, Michelle A.T. Hildebrandt, Florian Heitz, Ute Hamann, Jacek Gronwald, Mark H. Greene, Marc T. Goodman, David E. Goldgar, Andrew K. Godwin, Graham G. Giles, Judy Garber, Patricia A. Ganz, Eitan Friedman, George Fountzilas, Renée T. Fortner, Peter A. Fasching, Diana M. Eccles, Douglas F. Easton, Thilo Dörk, Susan M. Domchek, Orland Diez, Joe Dennis, Anna deFazio, Mary B. Daly, Daniel W. Cramer, Fergus J. Couch, Kathleen B.M. Claes, Jenny Chang-Claude, Ian Campbell, Maria A. Caligo, Trinidad Caldes, Ralf Butzow, James Brenton, Line Bjorge, Javier Benitez, Daniel R. Barnes, Rosa B. Barkardottir, Elisa V. Bandera, Banu K. Arun, Hoda Anton-Culver, Irene L. Andrulis, Kirsten B. Moysich, Jamie K. Teer, Brett M. Reid, Jennifer B. Permuth, Yian A. Chen, Hae Kyung Im, Joellen M. Schildkraut, Bingshan Li, Xingyi Guo, Lang Wu, Alicia Beeghly-Fadiel, and Yingchang Lu
- Abstract
Online Supplementary Documents
- Published
- 2023
8. Data from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
- Author
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Jirong Long, Wei Zheng, Paul D.P. Pharoah, Thomas A. Sellers, Georgia Chenevix-Trench, Ellen L. Goode, Andrew Berchuck, Antonis C. Antoniou, Simon A. Gayther, Kristin K. Zorn, Drakoulis Yannoukakos, Anna H. Wu, Alicja Wolk, Emily White, Nicolas Wentzensen, Jeffrey N. Weitzel, Penelope M. Webb, Digna Velez Edwards, Ana Vega, Adriaan Vanderstichele, Elizabeth J. van Rensburg, Shelley S. Tworoger, Nadine Tung, Antonia Trichopoulou, Amanda E. Toland, Marc Tischkowitz, Mads Thomassen, Soo H. Teo, Manuel R. Teixeira, Anthony J. Swerdlow, Rebecca Sutphen, Amanda B. Spurdle, Melissa C. Southey, Honglin Song, Christian F. Singer, Jacques Simard, Weiva Sieh, Priyanka Sharma, Veronica W. Setiawan, Rita K. Schmutzler, Dale P. Sandler, Iwona K. Rzepecka, Mary Anne Rossing, Matti A. Rookus, Isabelle Romieu, Cristina Rodríguez-Antona, Gustavo C. Rodriguez, Harvey Risch, Gad Rennert, Susan J. Ramus, Miquel Angel Pujana, Catherine M. Phelan, Paolo Peterlongo, Tanja Pejovic, Petra H.M. Peeters, Michael T. Parsons, Sue K. Park, Ana Osorio, Håkan Olsson, Sara H. Olson, Olufunmilayo I. Olopade, Edith Olah, Kenneth Offit, Robert L. Nussbaum, Liene Nikitina-Zake, Finn C. Nielsen, Heli Nevanlinna, Susan L. Neuhausen, Marco Montagna, Francesmary Modugno, Melissa A. Merritt, Iain A. McNeish, Lesley McGuffog, Taymaa May, Amalia Mattiello, Douglas A. Levine, Fabienne Lesueur, Goska Leslie, Nhu D. Le, Ava Kwong, Susanne K. Kjaer, Lambertus A. Kiemeney, Linda E. Kelemen, Beth Y. Karlan, Paul James, Anna Jakubowska, Claudine Isaacs, Evgeny N. Imyanitov, David G. Huntsman, Peter J. Hulick, Antoinette Hollestelle, Claus K. Høgdall, Michelle A.T. Hildebrandt, Florian Heitz, Ute Hamann, Jacek Gronwald, Mark H. Greene, Marc T. Goodman, David E. Goldgar, Andrew K. Godwin, Graham G. Giles, Judy Garber, Patricia A. Ganz, Eitan Friedman, George Fountzilas, Renée T. Fortner, Peter A. Fasching, Diana M. Eccles, Douglas F. Easton, Thilo Dörk, Susan M. Domchek, Orland Diez, Joe Dennis, Anna deFazio, Mary B. Daly, Daniel W. Cramer, Fergus J. Couch, Kathleen B.M. Claes, Jenny Chang-Claude, Ian Campbell, Maria A. Caligo, Trinidad Caldes, Ralf Butzow, James Brenton, Line Bjorge, Javier Benitez, Daniel R. Barnes, Rosa B. Barkardottir, Elisa V. Bandera, Banu K. Arun, Hoda Anton-Culver, Irene L. Andrulis, Kirsten B. Moysich, Jamie K. Teer, Brett M. Reid, Jennifer B. Permuth, Yian A. Chen, Hae Kyung Im, Joellen M. Schildkraut, Bingshan Li, Xingyi Guo, Lang Wu, Alicia Beeghly-Fadiel, and Yingchang Lu
- Abstract
Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10−6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10−7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10−3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis.Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419–30. ©2018 AACR.
- Published
- 2023
9. What knowledge is required for an informed choice related to non‐invasive prenatal screening?
- Author
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Erin Griffin, Gillian Hooker, Matthew Grace, Kimberly Kaphingst, Digna Velez Edwards, Zhiguo Zhao, and Jill Slamon
- Subjects
Genetics (clinical) - Published
- 2023
10. Returning integrated genomic risk and clinical recommendations: the eMERGE study
- Author
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Jodell E. Linder, Aimee Allworth, Sarah T. Bland, Pedro J. Caraballo, Rex L. Chisholm, Ellen Wright Clayton, David R. Crosslin, Ozan Dikilitas, Alanna DiVietro, Edward D. Esplin, Sophie Forman, Robert R. Freimuth, Adam S. Gordon, Richard Green, Maegan V. Harden, Ingrid A. Holm, Gail P. Jarvik, Elizabeth W. Karlson, Sofia Labrecque, Niall J. Lennon, Nita A. Limdi, Kathleen F. Mittendorf, Shawn N. Murphy, Lori Orlando, Cynthia A. Prows, Luke V. Rasmussen, Laura Rasmussen-Torvik, Robb Rowley, Konrad Teodor Sawicki, Tara Schmidlen, Shannon Terek, David Veenstra, Digna R. Velez Edwards, Devin Absher, Noura S. Abul-Husn, Jorge Alsip, Hana Bangash, Mark Beasley, Jennifer E. Below, Eta S. Berner, James Booth, Wendy K. Chung, James J. Cimino, John Connolly, Patrick Davis, Beth Devine, Stephanie M. Fullerton, Candace Guiducci, Melissa L. Habrat, Heather Hain, Hakon Hakonarson, Margaret Harr, Eden Haverfield, Valentina Hernandez, Christin Hoell, Martha Horike-Pyne, George Hripcsak, Marguerite R. Irvin, Christopher Kachulis, Dean Karavite, Eimear E. Kenny, Atlas Khan, Krzysztof Kiryluk, Bruce Korf, Leah Kottyan, Iftikhar J. Kullo, Katie Larkin, Cong Liu, Edyta Malolepsza, Teri A. Manolio, Thomas May, Elizabeth M. McNally, Frank Mentch, Alexandra Miller, Sean D. Mooney, Priyanka Murali, Brenda Mutai, Naveen Muthu, Bahram Namjou, Emma F. Perez, Megan J. Puckelwartz, Tejinder Rakhra-Burris, Dan M. Roden, Elisabeth A. Rosenthal, Seyedmohammad Saadatagah, Maya Sabatello, Dan J. Schaid, Baergen Schultz, Lynn Seabolt, Gabriel Q. Shaibi, Richard R. Sharp, Brian Shirts, Maureen E. Smith, Jordan W. Smoller, Rene Sterling, Sabrina A. Suckiel, Jeritt Thayer, Hemant K. Tiwari, Susan B. Trinidad, Theresa Walunas, Wei-Qi Wei, Quinn S. Wells, Chunhua Weng, Georgia L. Wiesner, Ken Wiley, Josh F. Peterson, Adam Gordon, Agboade Sobowale, Akshar Patel, Alanna Strong, Alborz Sherafati, Alborz Sherfati, Alex Bick, Alka Chandel, Alyssa Rosenthal, Amit Khera, Amy Kontorovich, Andrew Beck, Andy Beck, Angelica Espinoza, Anna Lewis, Anya Prince, Ayuko Iverson, Bahram Namjou Khales, Barbara Benoit, Becca Hernan, Ben Kallman, Ben Kerman, Ben Shoemaker, Benjamin Satterfield, Bethany Etheridge, Blake Goff, Bob Freimuth, Bob Grundmeier, Brenae Collier, Brett Harnett, Brian Chang, Brian Piening, Brittney Davis, Candace Patterson, Carmen Demetriou, Casey Ta, Catherine Hammack, Catrina Nelson, Caytie Gascoigne, Chad Dorn, Chad Moretz, Chris Kachulis, Christie Hoell, Christine Cowles, Christoph Lange, Cindy Prows, Cole Brokamp, Courtney Scherr, Crystal Gonzalez, Cynthia Ramirez, Daichi Shimbo, Dan Roden, Daniel Schaid, Dave Kaufman, David Crosslin, David Kochan, Davinder Singh, Debbie Abrams, Digna Velez Edwards, Eduardo Morales, Edward Esplin, Ehsan Alipour, Eimear Kenny, Elisabeth Rosenthal, Eliza Duvall, Elizabeth McNally, Elizabeth Bhoj, Elizabeth Cohn, Elizabeth Hibler, Elizabeth Karlson, Ellen Clayton, Emily Chesnut, Emily DeFranco, Emily Gallagher, Emily Soper, Emma Perez, Erin Cash, Eta Berner, Fei Wang, Firas Wehbe, Francisco Ricci, Gabriel Shaibi, Gail Jarvik, George Hahn, Georgia Wiesner, Gillian Belbin, Gio Davogustto, Girish Nadkarni, Haijun Qiu, Hannah Beasley, Hao Liu, Heide Aungst, Hemant Tiwari, Hillary Duckham, Hope Thomas, Iftikhar Kullo, Ingrid Holm, Isabelle Allen, Iuliana Ionita-Laza, Jacklyn Hellwege, Jacob Petrzelka, Jacqueline Odgis, Jahnavi Narula, Jake Petrzelka, Jalpa Patel, James Cimino, James Meigs, James Snyder, Janet Olson, Janet Zahner, Jeff Pennington, Jen Pacheco, Jennifer Allen Pacheco, Jennifer Morse, Jeremy Corsmo, Jim Cimino, Jingheng Chen, Jocelyn Fournier, Jodell Jackson, Joe Glessner, Joel Pacyna, Johanna Smith, John Lynch, John Shelley, Jonathan Mosley, Jordan Nestor, Jordan Smoller, Joseph Kannry, Joseph Sutton, Josh Peterson, Joshua Smith, Julia Galasso, Julia Smith, Julia Wynn, Justin Gundelach, Justin Starren, Karmel Choi, Kate Mittendorf, Katherine Anderson, Katherine Bonini, Kathleen Leppig, Kathleen Muenzen, Kelsey Stuttgen, Kenny Nguyen, Kevin Dufendach, Kiley Atkins, Konrad Sawicki, Kristjan Norland, Laura Beskow, Li Hsu, Lifeng Tian, Lisa Mahanta, Lisa Martin, Lisa Wang, Lizbeth Gomez, Lorenzo Thompson, Lucas Richter, Luke Rasmussen, Lynn Petukhova, Madison O’Brien, Maegan Harden, Malia Fullerton, Marta Guindo, Martha Horike, Marwah Abdalla, Marwan Hamed, Mary Beth Terry, Mary Maradik, Matt Wyatt, Matthew Davis, Matthew Lebo, Maureen Smith, Maya del Rosario, Meckenzie Behr, Meg Roy-Puckelwartz, Mel Habrat, Melanie Myers, Meliha Yetisgen, Merve Iris, Michael DaSilva, Michael Preuss, Michelle McGowan, Mingjian Shi, Minoli Perera, Minta Thomas, Mitch Elkind, Mohammad Abbass, Mohammad Saadatagah, Molly Hess, Molly Maradik, Nataraja 'RJ' Vaitinadin, Nataraja Vaitinadin, Neil Netherly, Niall Lennon, Ning Shang, Nita Limdi, Noah Forrest, Noheli Romero, Nora Robinson, Noura Abul-Husn, Omar Elsekaily, Patricia Kovatch, Paul Appelbaum, Paul Francaviglia, Paul O’Reilly, Paulette Chandler, Pedro Caraballo, Peter Tarczy-Hornoch, Pierre Shum, Priya Marathe, Qiping Feng, Quinn Wells, Rachel Atchley, Radhika Narla, Rene Barton, Rex Chisholm, Richard Sharp, Riki Peters, Rita Kukafka, Robert Freimuth, Robert Green, Robert Winter, Roger Mueller, Ruth Loos, Ryan Irvin, Sabrina Suckiel, Sajjad Hussain, Samer Sharba, Sandy Aronson, Sarah Jones, Sarah Knerr, Scott Nigbur, Scott Weiss, Sean Mooney, Sharon Aufox, Sharon Nirenberg, Shawn Murphy, Sheila O’Byrne, Shing Wang (Sam) Choi, Sienna Aguilar, S.T. Bland, Stefanie Rodrigues, Stephanie Ledbetter, Stephanie Rutledge, Stuart James Booth, Su Xian, Susan Brown Trinidad, Suzanne Bakken, Teri Manolio, Tesfaye Mersha, Thevaa Chandereng, Tian Ge, Todd Edwards, Tom Kaszemacher, Valerie Willis, Vemi Desai, Vimi Desai, Virginia Lorenzi, Vivian Gainer, Wendy Chung, Wu-Chen Su, Xiao Chang, Yiqing Zhao, Yuan Luo, and Yufeng Shen
- Subjects
Genetics (clinical) - Abstract
Assessing the risk of common, complex diseases requires consideration of clinical risk factors as well as monogenic and polygenic risks, which in turn may be reflected in family history. Returning risks to individuals and providers may influence preventive care or use of prophylactic therapies for those individuals at high genetic risk.To enable integrated genetic risk assessment, the eMERGE (electronic MEdical Records and GEnomics) network is enrolling 25,000 diverse individuals in a prospective cohort study across 10 sites. The network developed methods to return cross-ancestry polygenic risk scores (PRS), monogenic risks, family history, and clinical risk assessments via a Genome Informed Risk Assessment (GIRA) report and will assess uptake of care recommendations after return of results.GIRAs include summary care recommendations for 11 conditions, education pages, and clinical laboratory reports. The return of high-risk GIRA to individuals and providers includes guidelines for care and lifestyle recommendations. Assembling the GIRA required infrastructure and workflows for ingesting and presenting content from multiple sources. Recruitment began in February 2022.Return of a novel report for communicating monogenic, polygenic, and family history based risk factors will inform the benefits of integrated genetic risk assessment for routine health care.
- Published
- 2022
11. 2530 Relationship between preexisting pain and completion of a community-based wellness program
- Author
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Chantay Young, Sifang Zhao, Tash Weddle, Sarah Jones, Digna Velez-Edwards, and Katherine Hartmann
- Subjects
Medicine - Abstract
OBJECTIVES/SPECIFIC AIMS: New Beginnings is a 12-week community-based behavioral intervention for improving health, strength, and wellness through a holistic approach to coaching that supports lifestyle change. The program serves predominantly low-income, minority women. Given the substantial focus on exercise, including resistance training, we aimed to test whether pain at baseline is associated with program completion in a prospective cohort. METHODS/STUDY POPULATION: At the entry of the New Beginnings program, women completed a survey that included a body map of sites at which they experienced pain for most days in the prior week. Using logistic regression, we independently tested the association between presence of pain, the total number of pain sites, and grouped location of pain with program completion, assessing the following a priori candidate confounders: age, race/ethnicity, body mass index, and income. We also tested for interaction of pain and age in influencing completion. RESULTS/ANTICIPATED RESULTS: Seventy-five percent of participants, 185 of 247, completed the program. They had an average age of 44.2±11.7 years, weight of 244.5±115.4 pounds, and BMI of 41.3±18.2. Fifty-seven percent were African American and 3% were Hispanic. The majority reported preexisting pain (83%), with an average of 3.4±2.7 pain sites. Completers and non-completers did not differ by the total number of pain sites (p=0.2). Having preexisting pain compared to no pain [odds ratio (OR)=1.3; 95% confidence interval (CI): 0.5–3.4] and to the number of pain sites (OR=1.0; 95% CI: 0.9–1.1) did not influence program completion after adjusting for the sole confounder, which was age. Likewise, we observed no association between limb/joint pain (OR=1.1; 95% CI: 0.6–2.1) or back pain (OR=0.9; 95% CI: 0.5–1.6) with program completion. The association of pain with completion was not modified by age. DISCUSSION/SIGNIFICANCE OF IMPACT: While pain is believed to be a barrier to improving fitness, preexisting pain may not be a strong predictor of completing a holistic lifestyle intervention with a substantial exercise component. Rather, women’s commitment to making a healthy lifestyle change may result in program completion irrespective of preexisting pain. Addressing and accommodating pain-related modifications to exercise interventions promise to be more effective than excluding those with pain from participation.
- Published
- 2018
- Full Text
- View/download PDF
12. Inference of causal relationships between genetic risk factors for cardiometabolic phenotypes and female-specific health conditions
- Author
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Brenda Xiao, Digna Velez Edwards, Anastasia Lucas, Theodore Drivas, Kathryn Gray, Brendan Keating, Chunhua Weng, Gail Jarvik, Hakon Hakonarson, Leah Kottyan, Noémie Elhadad, Wei-Qi Wei, Yuan Luo, Dokyoon Kim, Marylyn Ritchie, and Shefali Verma
- Subjects
endocrine system diseases ,nutritional and metabolic diseases - Abstract
Cardiometabolic diseases are highly comorbid, but their relationship with female-specific health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. Using electronic health record data from 71,008 ancestrally diverse females, we examined relationships between 23 obstetrical/gynecological conditions and 4 cardiometabolic phenotypes (body mass index [BMI], coronary artery disease [CAD], type 2 diabetes [T2D], and hypertension) using cross-trait genetic correlation analyses, polygenic risk scores (PRSs), Mendelian randomization (MR), and chronology analyses. We observed 29 significant associations between cardiometabolic PRSs and obstetrical/gynecological conditions (BMI and endometrial cancer; BMI and polycystic ovarian syndrome [PCOS)]; T2D and gestational diabetes; T2D and PCOS). MR analysis provided additional evidence of independent causal effects. We also identified an inverse association between CAD and breast cancer. High cardiometabolic PRSs were associated with early development of PCOS and gestational hypertension. We conclude that polygenic susceptibility to cardiometabolic traits is associated with elevated risk of certain female-specific health conditions.
- Published
- 2022
13. Genotype-Based Prediction of Gene Expression in Human Placenta is Associated with Childhood Asthma Susceptibility
- Author
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Brittney Snyder, Elizabeth Jasper, Tebeb Gebretsadik, Jacklyn Hellwege, Sarah Jones, Todd Edwards, Carole Ober, Digna Velez Edwards, and Tina Hartert
- Subjects
Immunology ,Immunology and Allergy - Published
- 2022
14. VICE-MPRINT: Maternal and Pediatric Pharmacogenetics Survey (MPRINT)
- Author
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Digna Velez Edwards, Associate Professor of Pediatrics and Medicine
- Published
- 2024
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