Search

Your search keyword '"Drake, A F"' showing total 20 results
Start Over Author "Drake, A F" Topic humans
20 results on '"Drake, A F"'

1. Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24

Author

Karunamuni, Roshan A, Huynh-Le, Minh-Phuong, Fan, Chun C, Thompson, Wesley, Lui, Asona, Martinez, Maria Elena, Rose, Brent S, Mahal, Brandon, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, Lophatananon, Artitaya, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Blot, William J, Zheng, Wei, Kibel, Adam S, Drake, Bettina F, Cussenot, Olivier, Cancel-Tassin, Géraldine, Menegaux, Florence, Truong, Thérèse, Park, Jong Y, Lin, Hui-Yi, Taylor, Jack A, Bensen, Jeannette T, Mohler, James L, Fontham, Elizabeth TH, Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Romana, Marc, Leach, Robin J, John, Esther M, Fowke, Jay H, Bush, William S, Aldrich, Melinda C, Crawford, Dana C, Cullen, Jennifer, Petrovics, Gyorgy, Parent, Marie-Élise, Hu, Jennifer J, Sanderson, Maureen, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, and Seibert, Tyler M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Genetics, Black People, Case-Control Studies, Chromosomes, Human, Pair 8, Genetic Predisposition to Disease, Humans, Male, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Risk Assessment, White People, UKGPCS Collaborators, PRACTICAL Consortium, Urology & Nephrology, Clinical sciences, Oncology and carcinogenesis
Abstract

BackgroundWe previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ.Materials and methodsGenotypic data were obtained from the PRACTICAL consortium for 6253 men with African genetic ancestry. Genetic variation in a window spanning 3 African-specific 8q24 SNPs was estimated using 93 PCs. A Cox proportional hazards framework was used to identify the pair of PCs most strongly associated with the performance of PHS46+African. A calibration factor (CF) was formulated using Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC.ResultsCF of PHS46+African was strongly associated with the first and twentieth PCs. Predicted CF ranged from 0.41 to 2.94, suggesting that PHS46+African may be up to 7 times more beneficial to some African men than others. The explained relative risk for PHS46+African varied from 3.6% to 9.9% for individuals with low and high CF values, respectively. By cross-referencing our data set with 1000 Genomes, we identified significant associations between continental and calibration groupings.ConclusionWe identified PCs within 8q24 that were strongly associated with the performance of PHS46+African. Further research to improve the clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry.

Published
2022

2. Mentoring Underrepresented Minority Physician-Scientists to Success

Author

Kalet, Adina, Libby, Anne M, Jagsi, Reshma, Brady, Kathleen, Chavis-Keeling, Deborah, Pillinger, Michael H, Daumit, Gail L, Drake, Amelia F, Drake, Wonder Puryear, Fraser, Victoria, Ford, Daniel, Hochman, Judith S, Jones, Rochelle D, Mangurian, Christina, Meagher, Emma A, McGuinness, Georgeann, Regensteiner, Judith G, Rubin, Deborah C, Yaffe, Kristine, and Ravenell, Joseph E

Subjects
Health Services and Systems, Health Sciences, Clinical Research, Faculty, Medical, Female, Humans, Male, Mentoring, Mentors, Minority Groups, Physicians, United States, Clinical Sciences, Curriculum and Pedagogy, General & Internal Medicine, Curriculum and pedagogy, Health services and systems
Abstract

As the nation seeks to recruit and retain physician-scientists, gaps remain in understanding and addressing mitigatable challenges to the success of faculty from underrepresented minority (URM) backgrounds. The Doris Duke Charitable Foundation Fund to Retain Clinical Scientists program, implemented in 2015 at 10 academic medical centers in the United States, seeks to retain physician-scientists at risk of leaving science because of periods of extraordinary family caregiving needs, hardships that URM faculty-especially those who identify as female-are more likely to experience. At the annual Fund to Retain Clinical Scientists program directors conference in 2018, program directors-21% of whom identify as URM individuals and 13% as male-addressed issues that affect URM physician-scientists in particular. Key issues that threaten the retention of URM physician-scientists were identified through focused literature reviews; institutional environmental scans; and structured small- and large-group discussions with program directors, staff, and participants. These issues include bias and discrimination, personal wealth differential, the minority tax (i.e., service burdens placed on URM faculty who represent URM perspectives on committees and at conferences), lack of mentorship training, intersectionality and isolation, concerns about confirming stereotypes, and institutional-level factors. The authors present recommendations for how to create an environment in which URM physician-scientists can expect equitable opportunities to thrive, as institutions demonstrate proactive allyship and remove structural barriers to success. Recommendations include providing universal training to reduce interpersonal bias and discrimination, addressing the consequences of the personal wealth gap through financial counseling and benefits, measuring the service faculty members provide to the institution as advocates for URM faculty issues and compensating them appropriately, supporting URM faculty who wish to engage in national leadership programs, and sustaining institutional policies that address structural and interpersonal barriers to inclusive excellence.

Published
2022

3. A Framework for Equitable Partnerships to Promote Cancer Prevention and Control in Rural Settings

Author

Ko, Linda K, Scarinci, Isabel C, Bouchard, Elizabeth G, Drake, Bettina F, Rodriguez, Elisa M, Chen, Moon S, Kepka, Deanna, Kruse-Diehr, Aaron J, Befort, Christie, Shannon, Jackilen, Farris, Paige E, Trentham-Dietz, Amy, and Onega, Tracy

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Prevention, Health Services, Clinical Research, Rural Health, Minority Health, Cancer, Health Disparities, Good Health and Well Being, Biological Specimen Banks, Community-Based Participatory Research, Community-Institutional Relations, Health Equity, Humans, Neoplasms, Rural Population, Oncology and carcinogenesis
Abstract

Rural populations continue to experience persistent cancer disparities compared with urban populations particularly in cancers that can be prevented or detected early through screening and vaccination. Although the National Cancer Institute and the larger cancer research community have identified rural community partnerships as the foundation for reducing the disparities, we have identified limited application of community-based participatory research in cancer prevention and control research. Guided by the Community-Based Participatory Research Conceptual Model and our collective experience, we provide a framework for a community-cancer center partnership that focuses on promoting health equity. In this commentary, we articulate that the partnership process must foster capacity for communities and cancer centers, strive for rural representation in clinical trials and biobanking, build a pipeline for dissemination and implementation research, and create a bidirectional flow of knowledge between communities and academic institutions. Authentic partnerships with rural communities should be the ultimate goal of cancer centers, and the process described in this commentary can serve as an initial platform to build capacity and continue to strive toward that goal.

Published
2022

4. African-specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer.

Author

Karunamuni, Roshan A, Huynh-Le, Minh-Phuong, Fan, Chun C, Thompson, Wesley, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, UKGPCS Collaborators, Lophatananon, Artitaya, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Blot, William J, Zheng, Wei, Kibel, Adam S, Drake, Bettina F, Cussenot, Olivier, Cancel-Tassin, Géraldine, Menegaux, Florence, Truong, Thérèse, Park, Jong Y, Lin, Hui-Yi, Bensen, Jeannette T, Fontham, Elizabeth TH, Mohler, James L, Taylor, Jack A, Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Romana, Marc, Leach, Robin J, John, Esther M, Fowke, Jay, Bush, William S, Aldrich, Melinda, Crawford, Dana C, Srivastava, Shiv, Cullen, Jennifer C, Petrovics, Gyorgy, Parent, Marie-Élise, Hu, Jennifer J, Sanderson, Maureen, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, Seibert, Tyler M, and PRACTICAL Consortium

Subjects
UKGPCS Collaborators, PRACTICAL Consortium, Humans, Prostatic Neoplasms, Genetic Predisposition to Disease, Proportional Hazards Models, Case-Control Studies, Age Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Models, Genetic, Middle Aged, African Continental Ancestry Group, Male, Genotyping Techniques, African, genome wide association study, genomics, genotypic ancestry, health disparities, polygenic risk, prostate cancer, Aging, Genetics, Urologic Diseases, Cancer, Prostate Cancer, Prevention, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

Polygenic hazard score (PHS) models are associated with age at diagnosis of prostate cancer. Our model developed in Europeans (PHS46) showed reduced performance in men with African genetic ancestry. We used a cross-validated search to identify single nucleotide polymorphisms (SNPs) that might improve performance in this population. Anonymized genotypic data were obtained from the PRACTICAL consortium for 6253 men with African genetic ancestry. Ten iterations of a 10-fold cross-validation search were conducted to select SNPs that would be included in the final PHS46+African model. The coefficients of PHS46+African were estimated in a Cox proportional hazards framework using age at diagnosis as the dependent variable and PHS46, and selected SNPs as predictors. The performance of PHS46 and PHS46+African was compared using the same cross-validated approach. Three SNPs (rs76229939, rs74421890 and rs5013678) were selected for inclusion in PHS46+African. All three SNPs are located on chromosome 8q24. PHS46+African showed substantial improvements in all performance metrics measured, including a 75% increase in the relative hazard of those in the upper 20% compared to the bottom 20% (2.47-4.34) and a 20% reduction in the relative hazard of those in the bottom 20% compared to the middle 40% (0.65-0.53). In conclusion, we identified three SNPs that substantially improved the association of PHS46 with age at diagnosis of prostate cancer in men with African genetic ancestry to levels comparable to Europeans.

Published
2021

5. From Stigma to Validation: A Qualitative Assessment of a Novel National Program to Improve Retention of Physician-Scientists with Caregiving Responsibilities

Author

Jones, Rochelle D, Miller, Jacquelyn, Vitous, C Ann, Krenz, Chris, Brady, Kathleen T, Brown, Ann J, Daumit, Gail L, Drake, Amelia F, Fraser, Victoria J, Hartmann, Katherine E, Hochman, Judith S, Girdler, Susan, Kalet, Adina L, Libby, Anne M, Mangurian, Christina, Regensteiner, Judith G, Yonkers, Kimberly, and Jagsi, Reshma

Subjects
Health Services and Systems, Health Sciences, Mental Health, Clinical Research, Biomedical Research, Caregivers, Faculty, Medical, Female, Financing, Organized, Humans, Interviews as Topic, Male, Physicians, Pregnancy, Program Evaluation, Qualitative Research, Research Personnel, Research Support as Topic, Social Stigma, Social Support, United States, stigma, caregiving, physician-scientist, academic medicine, career development, Medical and Health Sciences, Public Health, Biomedical and clinical sciences, Health sciences
Abstract

Background: Research is needed to improve understanding of work-life integration issues in academic medicine and to guide the implementation of the Doris Duke Charitable Foundation's Fund to Retain Clinical Scientists (FRCS), a national initiative offering financial support to physician-scientists facing caregiving challenges. Materials and Methods: In 2018, as part of a prospective program evaluation, the authors conducted a qualitative study to examine FRCS program participants' initial impressions, solicit descriptions of their career and caregiving experiences, and inquire how such factors might influence their professional advancement. The authors invited all 33 awardees who had been granted FRCS funding in the first year of the program to participate in the study, of whom 28 agreed to complete an interview. Analysts evaluated de-identified transcripts and explicated the data using a thematic analysis approach. Results: While participants described aspects of a culture that harbor stigma against caregivers and impede satisfactory work-life integration, they also perceived an optimistic cultural shift taking place as a result of programs like the FRCS. Their comments indicated that the FRCS has the potential to influence culture if institutional leadership simultaneously fosters a community that validates individuals both as caregivers and as scientists. Conclusions: Insights garnered from this qualitative study suggest that there is a pressing need for institutional leaders to implement programs that can foster awareness and normalization of caregiving challenges. In addition to providing funding and other tangible resources, interventions should strive to reinforce a broader culture that affirms the presence of work-life integration challenges and openly embraces solutions.

Published
2020

6. Patient Feedback on the Effectiveness of Auricular Acupuncture on Pain in Routine Clinical Care

Author

Zeliadt, Steven B, Thomas, Eva R, Olson, Juli, Coggeshall, Scott, Giannitrapani, Karleen, Ackland, Princess E, Reddy, Kavitha P, Federman, Daniel G, Drake, David F, Kligler, Benjamin, and Taylor, Stephanie L

Subjects
Health Sciences, Traditional, Complementary and Integrative Medicine, Mind and Body, Pain Research, Chronic Pain, Complementary and Integrative Health, Clinical Research, Good Health and Well Being, Acupuncture, Ear, Adolescent, Adult, Aged, Aged, 80 and over, Analgesics, Opioid, Cohort Studies, Comorbidity, Cross-Sectional Studies, Female, Health Status, Humans, Male, Mental Health, Middle Aged, Pain Measurement, Retrospective Studies, Socioeconomic Factors, United States, United States Department of Veterans Affairs, Veterans, Veterans Health, Young Adult, pain management, acupuncture therapy, auricular acupuncture, nonpharmacological, veterans, Public Health and Health Services, Applied Economics, Health Policy & Services, Applied economics, Health services and systems, Policy and administration
Abstract

ObjectivesVeterans Health Administration (VHA) launched a national initiative to train providers in a specific, protocolized auricular acupuncture treatment (also called Battlefield Acupuncture or BFA) as a nonpharmacological approach to pain management. This evaluation assessed the real-world effectiveness of BFA on immediate pain relief and identified subgroups of patients for whom BFA is most effective.Research designIn a cross-sectional cohort study, electronic medical record data for 11,406 Veterans treated with BFA at 57 VHA medical centers between October 2016 and September 2018 was analyzed. The multivariate analysis incorporated data on pain history, change in pain level on an 11-point scale, complications, and demographic information.MethodsA total of 11,406 Veterans were treated with BFA at 57 VHA medical centers between October 2016 and September 2018 and had effectiveness data recorded in their electronic medical record.ResultsMore than 3 quarters experienced immediate decreases in pain following administration of BFA, with nearly 60% reported experiencing a minimal clinically important difference in pain intensity. The average decrease in pain intensity was -2.5 points (SD=2.2) at the initial BFA treatment, and -2.2 points (SD=2.0) at subsequent treatments. BFA was effective across a wide range of Veterans with many having preexisting chronic pain, or physical, or psychological comorbid conditions. Veterans with opioid use in the year before BFA experienced less improvement, with pain intensity scores improving more among Veterans who had not recently used opioids.ConclusionVHA's rapid expansion of training providers to offer BFA as a nonpharmacological approach to pain management has benefited many Veterans.

Published
2020

7. The Most Valuable Resource Is Time: Insights From a Novel National Program to Improve Retention of Physician-Scientists With Caregiving Responsibilities.

Author

Jones, Rochelle D, Miller, Jacquelyn, Vitous, C Ann, Krenz, Chris, Brady, Kathleen T, Brown, Ann J, Daumit, Gail L, Drake, Amelia F, Fraser, Victoria J, Hartmann, Katherine E, Hochman, Judith S, Girdler, Susan, Libby, Anne M, Mangurian, Christina, Regensteiner, Judith G, Yonkers, Kimberly, and Jagsi, Reshma

Subjects
Health Services and Systems, Health Sciences, Clinical Research, Adult, Biomedical Research, Career Choice, Education, Medical, Faculty, Medical, Female, Financing, Organized, Humans, Male, Middle Aged, Physicians, Program Development, Prospective Studies, Research Personnel, Clinical Sciences, Curriculum and Pedagogy, General & Internal Medicine, Curriculum and pedagogy, Health services and systems
Abstract

PurposeTo enhance understanding of challenges related to work-life integration in academic medicine and to inform the ongoing implementation of an existing program and the development of other interventions to promote success of physician-scientists.MethodThis study is part of a prospective analysis of the effects of the Fund to Retain Clinical Scientists (FRCS), a national program launched by the Doris Duke Charitable Foundation at 10 U.S. institutions, which provides financial support to physician-scientists facing caregiving challenges. In early 2018, 28 of 33 program awardees participated in semistructured interviews. Questions were about challenges faced by physician-scientists as caregivers and their early perceptions of the FRCS. Multiple analysts reviewed deidentified transcripts, iteratively revised the coding scheme, and interpreted the data using qualitative thematic analysis.ResultsParticipants' rich descriptions illuminated 5 interconnected themes: (1) Time is a critical and limited resource, (2) timing is key, (3) limited time resources and timing conflicts may have a particularly adverse effect on women's careers, (4) flexible funds enable reclamation and repurposing of time resources, and (5) FRCS leaders should be cognizant of time and timing conflicts when developing program-related offerings.ConclusionsPrograms such as the FRCS are instrumental in supporting individuals to delegate time-consuming tasks and to control how they spend their valuable time. Qualitative analysis suggests that access to and command of valuable time resources are crucial to career advancement, research productivity, and work-life flexibility, especially during critical time points along the physician-scientist trajectory.

Published
2019

8. An Innovative Program to Support Gender Equity and Success in Academic Medicine: Early Experiences From the Doris Duke Charitable Foundation's Fund to Retain Clinical Scientists.

Author

Jagsi, Reshma, Jones, Rochelle D, Griffith, Kent A, Brady, Kathleen T, Brown, Ann J, Davis, Randal D, Drake, Amelia F, Ford, Daniel, Fraser, Victoria J, Hartmann, Katherine E, Hochman, Judith S, Girdler, Susan, Libby, Anne M, Mangurian, Christina, Regensteiner, Judith G, Yonkers, Kimberly, Escobar-Alvarez, Sindy, and Myers, Elizabeth R

Subjects
Biomedical Research, Female, Foundations, Humans, Male, Research Personnel, Research Support as Topic, Sexism, United States, Clinical Sciences, Public Health and Health Services
Published
2018

9. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Author

Schumacher, Fredrick R, Al Olama, Ali Amin, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Saunders, Edward J, Dadaev, Tokhir, Leongamornlert, Daniel, Anokian, Ezequiel, Cieza-Borrella, Clara, Goh, Chee, Brook, Mark N, Sheng, Xin, Fachal, Laura, Dennis, Joe, Tyrer, Jonathan, Muir, Kenneth, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail P, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Håkansson, Niclas, West, Catharine ML, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei A, Giovannucci, Edward, Andriole, Gerald L, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Beane Freeman, Laura E, Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Travis, Ruth C, Key, Tim J, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C, Rosenstein, Barry S, Kerns, Sarah L, Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, FitzGerald, Liesel M, Kibel, Adam S, Drake, Bettina F, Vega, Ana, Gómez-Caamaño, Antonio, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L, Stampfer, Meir, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Stanford, Janet L, and Cybulski, Cezary

Subjects
Cancer, Aging, Prostate Cancer, Genetics, Urologic Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Risk, Profile Study, Australian Prostate Cancer BioResource, IMPACT Study, Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium, PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Cancer of the Prostate in Sweden, Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci, Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 × 10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa1.

Published
2018

10. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author

Dadaev, Tokhir, Saunders, Edward J, Newcombe, Paul J, Anokian, Ezequiel, Leongamornlert, Daniel A, Brook, Mark N, Cieza-Borrella, Clara, Mijuskovic, Martina, Wakerell, Sarah, Olama, Ali Amin Al, Schumacher, Fredrick R, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Goh, Chee, Sheng, Xin, Zhang, Zhuo, Muir, Kenneth, Govindasami, Koveela, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Hakansson, Niclas, West, Catharine, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei, Giovannucci, Edward, Andriole, Gerald, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Freeman, Laura E Beane, Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Travis, Ruth C, Key, Tim J, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C, Rosenstein, Barry, Kerns, Sarah, Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, FitzGerald, Liesel M, Kibel, Adam S, Drake, Bettina F, Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L, Stampfer, Meir, Park, Jong Y, and Sellers, Thomas A

Subjects
Genetics, Aging, Urologic Diseases, Prostate Cancer, Prevention, Human Genome, Cancer, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Algorithms, Bayes Theorem, Black People, Chromosome Mapping, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Molecular Sequence Annotation, Multivariate Analysis, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Risk, White People, PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium
Abstract

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.

Published
2018

11. Two Novel Susceptibility Loci for Prostate Cancer in Men of African Ancestry

Author

Conti, David V, Wang, Kan, Sheng, Xin, Bensen, Jeannette T, Hazelett, Dennis J, Cook, Michael B, Ingles, Sue A, Kittles, Rick A, Strom, Sara S, Rybicki, Benjamin A, Nemesure, Barbara, Isaacs, William B, Stanford, Janet L, Zheng, Wei, Sanderson, Maureen, John, Esther M, Park, Jong Y, Xu, Jianfeng, Stevens, Victoria L, Berndt, Sonja I, Huff, Chad D, Wang, Zhaoming, Yeboah, Edward D, Tettey, Yao, Biritwum, Richard B, Adjei, Andrew A, Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Sellers, Thomas A, Yamoah, Kosj, Murphy, Adam B, Crawford, Dana C, Gapstur, Susan M, Bush, William S, Aldrich, Melinda C, Cussenot, Olivier, Petrovics, Gyorgy, Cullen, Jennifer, Neslund-Dudas, Christine, Stern, Mariana C, Jarai, Zsofia-Kote, Govindasami, Koveela, Chokkalingam, Anand P, Hsing, Ann W, Goodman, Phyllis J, Hoffmann, Thomas, Drake, Bettina F, Hu, Jennifer J, Clark, Peter E, Van Den Eeden, Stephen K, Blanchet, Pascal, Fowke, Jay H, Casey, Graham, Hennis, Anselm JM, Han, Ying, Lubwama, Alexander, Thompson, Ian M, Leach, Robin, Easton, Douglas F, Schumacher, Fredrick, Van den Berg, David J, Gundell, Susan M, Stram, Alex, Wan, Peggy, Xia, Lucy, Pooler, Loreall C, Mohler, James L, Fontham, Elizabeth TH, Smith, Gary J, Taylor, Jack A, Srivastava, Shiv, Eeles, Rosalind A, Carpten, John, Kibel, Adam S, Multigner, Luc, Parent, Marie-Elise, Menegaux, Florence, Cancel-Tassin, Geraldine, Klein, Eric A, Brureau, Laurent, Stram, Daniel O, Watya, Stephen, Chanock, Stephen J, Witte, John S, Blot, William J, Henderson, Brian E, and Haiman, Christopher A

Subjects
Aging, Human Genome, Cancer, Prevention, Prostate Cancer, Biotechnology, Clinical Research, Genetics, Urologic Diseases, 2.1 Biological and endogenous factors, Aetiology, Blacks, Case-Control Studies, Checkpoint Kinase 2, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 22, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Insulin Receptor Substrate Proteins, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, PRACTICAL/ELLIPSE Consortium, Black People, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Prostate cancer incidence is 1.6-fold higher in African Americans than in other populations. The risk factors that drive this disparity are unknown and potentially consist of social, environmental, and genetic influences. To investigate the genetic basis of prostate cancer in men of African ancestry, we performed a genome-wide association meta-analysis using two-sided statistical tests in 10 202 case subjects and 10 810 control subjects. We identified novel signals on chromosomes 13q34 and 22q12, with the risk-associated alleles found only in men of African ancestry (13q34: rs75823044, risk allele frequency = 2.2%, odds ratio [OR] = 1.55, 95% confidence interval [CI] = 1.37 to 1.76, P = 6.10 × 10-12; 22q12.1: rs78554043, risk allele frequency = 1.5%, OR = 1.62, 95% CI = 1.39 to 1.89, P = 7.50 × 10-10). At 13q34, the signal is located 5' of the gene IRS2 and 3' of a long noncoding RNA, while at 22q12 the candidate functional allele is a missense variant in the CHEK2 gene. These findings provide further support for the role of ancestry-specific germline variation in contributing to population differences in prostate cancer risk.

Published
2017

12. Patient Feedback on the Effectiveness of Auricular Acupuncture on Pain in Routine Clinical Care: The Experience of 11,406 Veterans

Author

Zeliadt, Steven B, Thomas, Eva R, Olson, Juli, Coggeshall, Scott, Giannitrapani, Karleen, Ackland, Princess E, Reddy, Kavitha P, Federman, Daniel G, Drake, David F, Kligler, Benjamin, and Taylor, Stephanie L

Subjects
Adult, Male, Adolescent, Health Status, Veterans Health, Opioid, Comorbidity, Cohort Studies, Young Adult, nonpharmacological, Clinical Research, Complementary and Integrative Health, 80 and over, Humans, veterans, acupuncture therapy, Pain Measurement, Retrospective Studies, Aged, Analgesics, auricular acupuncture, Pain Research, Acupuncture, Ear, Middle Aged, United States, United States Department of Veterans Affairs, Cross-Sectional Studies, Mental Health, Good Health and Well Being, Socioeconomic Factors, pain management, Applied Economics, Public Health and Health Services, Health Policy & Services, Female, Chronic Pain, Mind and Body
Abstract

ObjectivesVeterans Health Administration (VHA) launched a national initiative to train providers in a specific, protocolized auricular acupuncture treatment (also called Battlefield Acupuncture or BFA) as a nonpharmacological approach to pain management. This evaluation assessed the real-world effectiveness of BFA on immediate pain relief and identified subgroups of patients for whom BFA is most effective.Research designIn a cross-sectional cohort study, electronic medical record data for 11,406 Veterans treated with BFA at 57 VHA medical centers between October 2016 and September 2018 was analyzed. The multivariate analysis incorporated data on pain history, change in pain level on an 11-point scale, complications, and demographic information.MethodsA total of 11,406 Veterans were treated with BFA at 57 VHA medical centers between October 2016 and September 2018 and had effectiveness data recorded in their electronic medical record.ResultsMore than 3 quarters experienced immediate decreases in pain following administration of BFA, with nearly 60% reported experiencing a minimal clinically important difference in pain intensity. The average decrease in pain intensity was -2.5 points (SD=2.2) at the initial BFA treatment, and -2.2 points (SD=2.0) at subsequent treatments. BFA was effective across a wide range of Veterans with many having preexisting chronic pain, or physical, or psychological comorbid conditions. Veterans with opioid use in the year before BFA experienced less improvement, with pain intensity scores improving more among Veterans who had not recently used opioids.ConclusionVHA's rapid expansion of training providers to offer BFA as a nonpharmacological approach to pain management has benefited many Veterans.

Published
2020

13. Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Author

Matejcic, Marco, Saunders, Edward J., Dadaev, Tokhir, Brook, Mark N., Wang, Kan, Sheng, Xin, Olama, Ali Amin Al, Schumacher, Fredrick R., Ingles, Sue A., Govindasami, Koveela, Benlloch, Sara, Berndt, Sonja I., Albanes, Demetrius, Koutros, Stella, Muir, Kenneth, Stevens, Victoria L., Gapstur, Susan M., Tangen, Catherine M., Batra, Jyotsna, Clements, Judith, Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Wolk, Alicja, West, Catharine, Mucci, Lorelei, Kraft, Peter, Cancel-Tassin, Géraldine, Sorensen, Karina D., Maehle, Lovise, Grindedal, Eli M., Strom, Sara S., Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Rosenstein, Barry, Lu, Yong-Jie, Giles, Graham G., Kibel, Adam S., Vega, Ana, Bensen, Jeanette T., Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanford, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Brenner, Hermann, Maier, Christiane, Kim, Jeri, Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Gago-Dominguez, Manuela, Roobol, Monique J., Menegaux, Florence, Khaw, Kay-Tee, Cannon-Albright, Lisa A., Pandha, Hardev, Thibodeau, Stephen N., Schaid, Daniel J., Henderson, Brian E., Stern, Mariana C., Thwaites, Alison, Guy, Michelle, Whitmore, Ian, Morgan, Angela, Fisher, Cyril, Hazel, Steve, Livni, Naomi, Cook, Margaret, Fachal, Laura, Weinstein, Stephanie, Beane Freeman, Laura E., Hoover, Robert N., Machiela, Mitchell J., Lophatananon, Artitaya, Carter, Brian D., Goodman, Phyllis J., Moya, Leire, Srinivasan, Srilakshmi, Kedda, Mary-Anne, Yeadon, Trina, Eckert, Allison, Eklund, Martin, Cavalli-Bjoerkman, Carin, Dunning, Alison M., Sipeky, Csilla, Hakansson, Niclas, Elliott, Rebecca, Ranu, Hardeep, Giovannucci, Edward, Turman, Constance, Hunter, David J., Cussenot, Olivier, Orntoft, Torben Falck, Lane, Athene, Lewis, Sarah J., Davis, Michael, Key, Tim J., Brown, Paul, Kulkarni, Girish S., Zlotta, Alexandre R., Fleshner, Neil E., Finelli, Antonio, Mao, Xueying, Marzec, Jacek, MacInnis, Robert J., Milne, Roger, Hopper, John L., Aguado, Miguel, Bustamante, Mariona, Castaño-Vinyals, Gemma, Gracia-Lavedan, Esther, Cecchini, Lluís, Stampfer, Meir, Ma, Jing, Sellers, Thomas A., Geybels, Milan S., Park, Hyun, Zachariah, Babu, Kolb, Suzanne, Wokolorczyk, Dominika, Lubinski, Jan, Kluzniak, Wojciech, Nielsen, Sune F., Weisher, Maren, Cuk, Katarina, Vogel, Walther, Luedeke, Manuel, Logothetis, Christopher J. J., Paulo, Paula, Cardoso, Marta, Maia, Sofia, Silva, Maria P., Steele, Linda, Ding, Yuan Chun, De Meerleer, Gert, De Langhe, Sofie, Thierens, Hubert, Lim, Jasmine, Tan, Meng H., Ong, Aik T., Lin, Daniel W., Kachakova, Darina, Mitkova, Atanaska, Mitev, Vanio, Parliament, Matthew, Jenster, Guido, Bangma, Christopher, Schroder, F. H., Truong, Thérèse, Koudou, Yves Akoli, Michael, Agnieszka, Kierzek, Andrzej, Karlsson, Ami, Broms, Michael, Wu, Huihai, Aukim-Hastie, Claire, Tillmans, Lori, Riska, Shaun, McDonnell, Shannon K., Dearnaley, David, Spurdle, Amanda, Gardiner, Robert, Hayes, Vanessa, Butler, Lisa, Taylor, Renea, Papargiris, Melissa, Saunders, Pamela, Kujala, Paula, Talala, Kirsi, Taari, Kimmo, Bentzen, Søren, Hicks, Belynda, Vogt, Aurelie, Hutchinson, Amy, Cox, Angela, George, Anne, Toi, Ants, Evans, Andrew, van der Kwast, Theodorus H., Imai, Takashi, Saito, Shiro, Zhao, Shan-Chao, Ren, Guoping, Zhang, Yangling, Yu, Yongwei, Wu, Yudong, Wu, Ji, Zhou, Bo, Pedersen, John, Lobato-Busto, Ramón, Ruiz-Dominguez, José Manuel, Mengual, Lourdes, Alcaraz, Antonio, Pow-Sang, Julio, Herkommer, Kathleen, Vlahova, Aleksandrina, Dikov, Tihomir, Christova, Svetlana, Carracedo, Angel, Tretarre, Brigitte, Rebillard, Xavier, Mulot, Claire, Adolfsson, Jan, Stattin, Par, Johansson, Jan-Erik, Martin, Richard M., Thompson, Ian M., Chambers, Suzanne, Aitken, Joanne, Horvath, Lisa, Haynes, Anne-Maree, Tilley, Wayne, Risbridger, Gail, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Tammela, Teuvo L. J., Murtola, Teemu, Auvinen, Anssi, Burnet, Neil, Barnett, Gill, Andriole, Gerald, Klim, Aleksandra, Drake, Bettina F., Borre, Michael, Kerns, Sarah, Ostrer, Harry, Zhang, Hong-Wei, Cao, Guangwen, Lin, Ji, Ling, Jin, Li, Meiling, Feng, Ninghan, Li, Jie, He, Weiyang, Guo, Xin, Sun, Zan, Wang, Guomin, Guo, Jianming, Southey, Melissa C., Fitzgerald, Liesel M., Marsden, Gemma, Gómez-Caamaño, Antonio, Carballo, Ana, Peleteiro, Paula, Calvo, Patricia, Szulkin, Robert, Llorca, Javier, Dierssen-Sotos, Trinidad, Gómez Acebo, Inés, Lin, Hui-Yi, Ostrander, Elaine A., Bisbjerg, Rasmus, Klarskov, Peter, Røder, Martin Andreas, Iversen, Peter, Holleczek, Bernd, Stegmaier, Christa, Schnoeller, Thomas, Bohnert, Philipp, John, Esther M., Ost, Piet, Teo, Soo-Hwang, Gamulin, Marija, Kulis, Tomislav, Kastelan, Zeljko, Slavov, Chavdar, Popov, Elenko, Van den Broeck, Thomas, Joniau, Steven, Larkin, Samantha, Castelao, Jose Esteban, Martinez, Maria Elena, van Schaik, Ron H. N., Xu, Jianfeng, Lindström, Sara, Riboli, Elio, Berry, Clare, Siddiq, Afshan, Canzian, Federico, Kolonel, Laurence N., Le Marchand, Loic, Freedman, Matthew, Cenee, Sylvie, Sanchez, Marie, Wiklund, Fredrik, Chanock, Stephen J., Easton, Douglas F., Eeles, Rosalind A., Kote-Jarai, Zsofia, Conti, David V., Haiman, Christopher A., Universidad de Cantabria, De Meerleer, Gert, Keck School of Medicine [Los Angeles], University of Southern California (USC), The institute of cancer research [London], Department of Clinical Neurosciences [Cambridge], University of Cambridge [UK] (CAM), Centre for Cancer Genetic Epidemiology [Cambridge], Department of Oncology-University of Cambridge [UK] (CAM), Case Western Reserve University [Cleveland], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Warwick Medical School, University of Warwick [Coventry], University of Manchester [Manchester], Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology [Brisbane] (QUT), Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], University College of London [London] (UCL), University of Turku, University of Tampere [Finland], The Institute of Environmental Medicine [Stockholm] (IMM), Manchester Academic Health Science Centre (MAHSC), Harvard School of Public Health, Harvard T.H. Chan School of Public Health, Université Pierre et Marie Curie - Paris 6 (UPMC), Aarhus University Hospital, Aarhus University [Aarhus], Oslo University Hospital [Oslo], The University of Texas M.D. Anderson Cancer Center [Houston], Addenbrooke's Hospital, Cambridge University NHS Trust, University of Oxford [Oxford], School of Social and Community Medicine [Bristol], University of Bristol [Bristol], Icahn School of Medicine at Mount Sinai [New York] (MSSM), Centre for Molecular Oncology and Imaging, Centre for Molecular Oncology and Imaging, Barts Cancer Institute, Queen Mary University of London (QMUL), University of Melbourne, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), CIBER de Enfermedades Raras (CIBERER), Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona] (UPF)-Catalunya ministerio de salud, CIBER de Epidemiología y Salud Pública (CIBERESP), IMIM-Hospital del Mar, Generalitat de Catalunya, Universitat Pompeu Fabra [Barcelona] (UPF), University of Washington [Seattle], German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), National Center for Tumor Diseases [Dresden] (NCT), Technische Universität Dresden = Dresden University of Technology (TU Dresden)-German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ)-Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Universität Ulm - Ulm University [Ulm, Allemagne], Instituto de Ciências Biomédicas de Abel Salazar (ICBAS), Universidade do Porto, Universiteit Gent = Ghent University [Belgium] (UGENT), University of Malaya [Kuala Lumpur, Malaisie], Universitaetsklinikum Hamburg-Eppendorf = University Medical Center Hamburg-Eppendorf [Hamburg] (UKE), University of Alberta, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), University of California [San Diego] (UC San Diego), University of California, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université Paris-Saclay, University of Utah School of Medicine [Salt Lake City], University of Surrey (UNIS), Mayo Clinic [Rochester], Royal Marsden NHS Foundation Trust, Dadaev, Tokhir [0000-0002-8268-0438], Brook, Mark N [0000-0002-8969-2378], Wang, Kan [0000-0002-0640-6058], Olama, Ali Amin Al [0000-0002-7178-3431], Schumacher, Fredrick R [0000-0002-3073-7463], Muir, Kenneth [0000-0001-6429-988X], Batra, Jyotsna [0000-0003-4646-6247], Pashayan, Nora [0000-0003-0843-2468], Schleutker, Johanna [0000-0002-1863-0305], Wolk, Alicja [0000-0001-7387-6845], Cancel-Tassin, Géraldine [0000-0002-9583-6382], Sorensen, Karina D [0000-0002-4902-5490], Lessel, Davor [0000-0003-4496-244X], Roobol, Monique J [0000-0001-6967-1708], Chanock, Stephen J [0000-0002-2324-3393], Easton, Douglas F [0000-0003-2444-3247], Eeles, Rosalind A [0000-0002-3698-6241], Apollo - University of Cambridge Repository, University of Cambridge [UK] (CAM)-Department of Oncology, University of Oxford, Universidade do Porto = University of Porto, Universiteit Gent = Ghent University (UGENT), University of Malaya = Universiti Malaya [Kuala Lumpur, Malaisie] (UM), University of California (UC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Gestionnaire, Hal Sorbonne Université, Urology, University Management, Clinicum, and HUS Abdominal Center

Subjects
0301 basic medicine, Oncology, Male, [SDV]Life Sciences [q-bio], LOCI, General Physics and Astronomy, Genome-wide association study, PROGRESSION, [SDV.GEN] Life Sciences [q-bio]/Genetics, MYC, SUSCEPTIBILITY, UP-REGULATION, Prostate cancer, Risk Factors, Genotype, Urologi och njurmedicin, Medicine, lcsh:Science, Pròstata -- Càncer, education.field_of_study, RARE VARIANT, Multidisciplinary, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Manchester Cancer Research Centre, LONG NONCODING RNA, Chromosome Mapping, Men, 3. Good health, [SDV] Life Sciences [q-bio], Multidisciplinary Sciences, Science & Technology - Other Topics, Disease Susceptibility, Risk assessment, Chromosomes, Human, Pair 8, Genetic Markers, medicine.medical_specialty, Science, 3122 Cancers, Population, [SDV.CAN]Life Sciences [q-bio]/Cancer, Risk Assessment, Article, General Biochemistry, Genetics and Molecular Biology, White People, 03 medical and health sciences, [SDV.CAN] Life Sciences [q-bio]/Cancer, SDG 3 - Good Health and Well-being, Internal medicine, Genetics, Urology and Nephrology, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, Author Correction, METAANALYSIS, [SDV.GEN]Life Sciences [q-bio]/Genetics, Cancer och onkologi, Science & Technology, Càncer de pròstata, business.industry, ResearchInstitutes_Networks_Beacons/mcrc, Case-control study, Cancer, Prostatic Neoplasms, General Chemistry, 3126 Surgery, anesthesiology, intensive care, radiology, medicine.disease, 030104 developmental biology, Homes, Haplotypes, Cancer and Oncology, Case-Control Studies, lcsh:Q, Population Risk, business, Genètica, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p, Chromosome 8q24 is known to be a major susceptibility region for prostate cancer risk. Here the authors analyze genetic data across the 8q24 region from 71,535 prostate cancer patients identifying 12 risk loci, three previously unreported, highlighting the contribution of germline variation at this locus.

Published
2018
Full Text
View/download PDF

14. EVALUATING COMMUNITY ENGAGEMENT IN RESEARCH: QUANTITATIVE MEASURE DEVELOPMENT

Author

Goodman, Melody S., Sanders Thompson, Vetta L., Johnson, Cassandra Arroyo, Gennarelli, Renee, Drake, Bettina F., Bajwa, Pravleen, Witherspoon, Maranda, and Bowen, Deborah

Subjects
Adult, Male, Research Design, Stakeholder Participation, Research, Surveys and Questionnaires, Community Participation, Humans, Female, Middle Aged, behavioral disciplines and activities, Article, Aged
Abstract

Although the importance of community engagement in research has been previously established, there are few evidence-based approaches for measuring the level of community engagement in research projects. A quantitative community engagement measure was developed, aligned with 11 engagement principles (EPs) previously established in the literature. The measure has 96 Likert response items; 3–5 quality items and 3–5 quantity items measure each EP. Cronbach’s alpha is used to examine the internal consistency of items that measure a single EP. Every EP item group had a Cronbach’s alpha > .85, which indicates strong internal consistency for all question groups across both scales (quality and quantity). This information determines the level of community engagement, which can be correlated with other research outcomes.

Published
2016

15. Breast Cancer Presentation in an Urban Health Care Safety Net System

Author

Fayanju, Oluwadamilola M., Jeffe, Donna B., Tappenden, Jennifer R., Beers, Courtney E., Drake, Bettina F., Gao, Feng, and Margenthaler, Julie A.

Subjects
Adult, Delayed Diagnosis, Missouri, Primary Health Care, Incidence, Urban Health Services, Humans, Breast Neoplasms, Female, Middle Aged, Referral and Consultation, Article
Abstract

We examined the Safety-Net referral process for breast diseases to identify factors contributing to delays within it. Each record was mapped to a time line beginning with first abnormality and concluding with definitive diagnosis/treatment. The median interval between first sign and definitive diagnosis/treatment was 93 days. Need for repeat imaging and missed visits prolonged the interval. System- and patient-specific factors were associated with delayed diagnosis/ treatment in breast patients referred through the Safety-Net specialty clinic.

Published
2012

16. Activation of CNS Inflammatory Pathways by Interferon-alpha: Relationship to Monoamines and Depression

Author

Raison, Charles L., Borisov, Andrey S., Majer, Matthias, Drake, Daniel F., Pagnoni, Giuseppe, Woolwine, Bobbi J., Vogt, Gerald J, Massung, Breanne, and Miller, Andrew H.

Subjects
Adult, Central Nervous System, Inflammation, Male, Psychiatric Status Rating Scales, Depressive Disorder, Corticotropin-Releasing Hormone, Interferon-alpha, Antiviral Agents, Article, Neural Pathways, Ribavirin, Cytokines, Humans, Biogenic Monoamines, Female, Longitudinal Studies, Biomarkers
Abstract

Interferon (IFN)-alpha has been used to study the effects of innate immune cytokines on the brain and behavior in humans. The degree to which peripheral administration of IFN-alpha accesses the brain and is associated with a central nervous system (CNS) inflammatory response is unknown. Moreover, the relationship among IFN-alpha-associated CNS inflammatory responses, neurotransmitter metabolism, and behavior has yet to be established.Twenty-four patients with hepatitis C underwent lumbar puncture and blood sampling after approximately 12 weeks of either no treatment (n = 12) or treatment with pegylated IFN-alpha 2b (n = 12). Cerebrospinal fluid (CSF) and blood samples were analyzed for proinflammatory cytokines and their receptors as well as the chemokine, monocyte chemoattractant protein-1 (MCP-1), and IFN-alpha. Cerebrospinal fluid samples were additionally analyzed for monoamine metabolites and corticotropin releasing hormone. Depressive symptoms were assessed using the Montgomery Asberg Depression Rating Scale.Interferon-alpha was detected in the CSF of all IFN-alpha-treated patients and only one control subject. Despite no increases in plasma IL-6, IFN-alpha-treated patients exhibited significant elevations in CSF IL-6 and MCP-1, both of which were highly correlated with CSF IFN-alpha concentrations. Of the immunologic and neurotransmitter variables, log-transformed CSF concentrations of the serotonin metabolite, 5-hydroxyindoleacetic acid (5-HIAA), were the strongest predictor of depressive symptoms. Log-transformed CSF concentrations of IL-6, but not IFN-alpha or MCP-1, were negatively correlated with log-transformed CSF 5-HIAA (r(2) = -.25, p.05).These data indicate that a peripherally administered cytokine can activate a CNS inflammatory response in humans that interacts with monoamine (serotonin) metabolism, which is associated with depression.

Published
2008

17. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

Author

Conti, David V, Darst, Burcu F, Moss, Lilit C, Saunders, Edward J, Sheng, Xin, Chou, Alisha, Schumacher, Fredrick R, Olama, Ali Amin Al, Benlloch, Sara, Dadaev, Tokhir, Brook, Mark N, Sahimi, Ali, Hoffmann, Thomas J, Takahashi, Atushi, Matsuda, Koichi, Momozawa, Yukihide, Fujita, Masashi, Muir, Kenneth, Lophatananon, Artitaya, Wan, Peggy, Le Marchand, Loic, Wilkens, Lynne R, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, Cybulski, Cezary, Wokołorczyk, Dominika, Lubiński, Jan, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Nordestgaard, Børge G, Nielsen, Sune F, Weischer, Maren, Bojesen, Stig E, Røder, Martin Andreas, Iversen, Peter, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Horvath, Lisa, Clements, Judith A, Tilley, Wayne, Risbridger, Gail P, Gronberg, Henrik, Aly, Markus, Szulkin, Robert, Eklund, Martin, Nordström, Tobias, Pashayan, Nora, Dunning, Alison M, Ghoussaini, Maya, Travis, Ruth C, Key, Tim J, Riboli, Elio, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Albanes, Demetrius, Weinstein, Stephanie J, Mucci, Lorelei A, Giovannucci, Edward, Lindstrom, Sara, Kraft, Peter, Hunter, David J, Penney, Kathryn L, Turman, Constance, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Parent, Marie-Élise, Stanford, Janet L, Ostrander, Elaine A, Geybels, Milan S, Koutros, Stella, Freeman, Laura E Beane, Stampfer, Meir, Wolk, Alicja, Håkansson, Niclas, Andriole, Gerald L, Hoover, Robert N, Machiela, Mitchell J, Sørensen, Karina Dalsgaard, Borre, Michael, Blot, William J, Zheng, Wei, Yeboah, Edward D, Mensah, James E, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Wu, Yudong, Zhao, Shan-Chao, Sun, Zan, Thibodeau, Stephen N, McDonnell, Shannon K, Schaid, Daniel J, West, Catharine ML, Burnet, Neil, Barnett, Gill, Maier, Christiane, Schnoeller, Thomas, Luedeke, Manuel, Kibel, Adam S, Drake, Bettina F, Cussenot, Olivier, Cancel-Tassin, Géraldine, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, John, Esther M, Grindedal, Eli Marie, Maehle, Lovise, Khaw, Kay-Tee, Ingles, Sue A, Stern, Mariana C, Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Rosenstein, Barry S, Kerns, Sarah L, Ostrer, Harry, Teixeira, Manuel R, Paulo, Paula, Brandão, Andreia, Watya, Stephen, Lubwama, Alexander, Bensen, Jeannette T, Fontham, Elizabeth TH, Mohler, James, Taylor, Jack A, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Cannon-Albright, Lisa, Teerlink, Craig C, Huff, Chad D, Strom, Sara S, Multigner, Luc, Blanchet, Pascal, Brureau, Laurent, Kaneva, Radka, Slavov, Chavdar, Mitev, Vanio, Leach, Robin J, Weaver, Brandi, Brenner, Hermann, Cuk, Katarina, Holleczek, Bernd, Saum, Kai-Uwe, Klein, Eric A, Hsing, Ann W, Kittles, Rick A, Murphy, Adam B, Logothetis, Christopher J, Kim, Jeri, Neuhausen, Susan L, Steele, Linda, Ding, Yuan Chun, Isaacs, William B, Nemesure, Barbara, Hennis, Anselm JM, Carpten, John, Pandha, Hardev, Michael, Agnieszka, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Xu, Jianfeng, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Newcomb, Lisa F, Lin, Daniel W, Fowke, Jay H, Neslund-Dudas, Christine, Rybicki, Benjamin A, Gamulin, Marija, Lessel, Davor, Kulis, Tomislav, Usmani, Nawaid, Singhal, Sandeep, Parliament, Matthew, Claessens, Frank, Joniau, Steven, Van Den Broeck, Thomas, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Larkin, Samantha, Townsend, Paul A, Aukim-Hastie, Claire, Bush, William S, Aldrich, Melinda C, Crawford, Dana C, Srivastava, Shiv, Cullen, Jennifer C, Petrovics, Gyorgy, Casey, Graham, Roobol, Monique J, Jenster, Guido, Van Schaik, Ron HN, Hu, Jennifer J, Sanderson, Maureen, Varma, Rohit, McKean-Cowdin, Roberta, Torres, Mina, Mancuso, Nicholas, Berndt, Sonja I, Van Den Eeden, Stephen K, Easton, Douglas F, Chanock, Stephen J, Cook, Michael B, Wiklund, Fredrik, Nakagawa, Hidewaki, Witte, John S, Eeles, Rosalind A, Kote-Jarai, Zsofia, and Haiman, Christopher A

Subjects
Male, Genetic Loci, Risk Factors, Racial Groups, Odds Ratio, Humans, Prostatic Neoplasms, Genetic Predisposition to Disease, Molecular Sequence Annotation, Neoplasm Invasiveness, Middle Aged, 3. Good health, Genome-Wide Association Study
Abstract

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.

18. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author

Dadaev, Tokhir, Saunders, Edward J, Newcombe, Paul J, Anokian, Ezequiel, Leongamornlert, Daniel A, Brook, Mark N, Cieza-Borrella, Clara, Mijuskovic, Martina, Wakerell, Sarah, Olama, Ali Amin Al, Schumacher, Fredrick R, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Goh, Chee, Sheng, Xin, Zhang, Zhuo, Muir, Kenneth, Govindasami, Koveela, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Hakansson, Niclas, West, Catharine, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei, Giovannucci, Edward, Andriole, Gerald, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Freeman, Laura E Beane, Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Travis, Ruth C, Key, Tim J, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C, Rosenstein, Barry, Kerns, Sarah, Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, FitzGerald, Liesel M, Kibel, Adam S, Drake, Bettina F, Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L, Stampfer, Meir, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Stanford, Janet L, Cybulski, Cezary, Wokolorczyk, Dominika, Lubinski, Jan, Ostrander, Elaine A, Geybels, Milan S, Nordestgaard, Børge G, Nielsen, Sune F, Weisher, Maren, Bisbjerg, Rasmus, Røder, Martin Andreas, Iversen, Peter, Brenner, Hermann, Cuk, Katarina, Holleczek, Bernd, Maier, Christiane, Luedeke, Manuel, Schnoeller, Thomas, Kim, Jeri, Logothetis, Christopher J, John, Esther M, Teixeira, Manuel R, Paulo, Paula, Cardoso, Marta, Neuhausen, Susan L, Steele, Linda, Ding, Yuan Chun, De Ruyck, Kim, De Meerleer, Gert, Ost, Piet, Razack, Azad, Lim, Jasmine, Teo, Soo-Hwang, Lin, Daniel W, Newcomb, Lisa F, Lessel, Davor, Gamulin, Marija, Kulis, Tomislav, Kaneva, Radka, Usmani, Nawaid, Slavov, Chavdar, Mitev, Vanio, Parliament, Matthew, Singhal, Sandeep, Claessens, Frank, Joniau, Steven, Van Den Broeck, Thomas, Larkin, Samantha, Townsend, Paul A, Aukim-Hastie, Claire, Gago-Dominguez, Manuela, Castelao, Jose Esteban, Martinez, Maria Elena, Roobol, Monique J, Jenster, Guido, Van Schaik, Ron HN, Menegaux, Florence, Truong, Thérèse, Koudou, Yves Akoli, Xu, Jianfeng, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Michael, Agnieszka, Kierzek, Andrzej, Thibodeau, Stephen N, McDonnell, Shannon K, Schaid, Daniel J, Lindstrom, Sara, Turman, Constance, Ma, Jing, Hunter, David J, Riboli, Elio, Siddiq, Afshan, Canzian, Federico, Kolonel, Laurence N, Le Marchand, Loic, Hoover, Robert N, Machiela, Mitchell J, Kraft, Peter, PRACTICAL (Prostate Cancer Association Group To Investigate Cancer-Associated Alterations In The Genome) Consortium, Freedman, Matthew, Wiklund, Fredrik, Chanock, Stephen, Henderson, Brian E, Easton, Douglas F, Haiman, Christopher A, Eeles, Rosalind A, Conti, David V, and Kote-Jarai, Zsofia

Subjects
Male, Risk, Quantitative Trait Loci, Black People, Chromosome Mapping, Prostatic Neoplasms, Bayes Theorem, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, White People, 3. Good health, Multivariate Analysis, Humans, Genetic Predisposition to Disease, Algorithms, Genome-Wide Association Study
Abstract

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.

19. Mutants of the tumour suppressor p53 L1 loop as second-site suppressors for restoring DNA binding to oncogenic p53 mutations: structural and biochemical insights

Author

Hellen Houlleberghs, Tam T. T. Bui, Penka V. Nikolova, Alex F. Drake, Kate Maclagan, Ester Akanho, Franca Fraternali, Assia Merabet, Bruno Pagano, Merabet, A., Houlleberghs, H., Maclagan, K., Akanho, E., Bui, T. T. T., Pagano, Bruno, Drake, A. F., Fraternali, F., and Nikolova, P. V.

Subjects
MECHANISM, Protein Conformation, Mutant, Mutation, Missense, Cancer therapy, CANCER MUTATIONS, Cell Cycle Proteins, Molecular Dynamics Simulation, Biology, Biochemistry, law.invention, chemistry.chemical_compound, law, Neoplasms, Humans, CORE DOMAIN, CRYSTAL-STRUCTURE, Molecular Biology, Gene, ENHANCED STABILITY, Oncogene Proteins, Double mutant, Protein Stability, Gadd45, Nuclear Proteins, IN-VITRO, DNA, Cell Biology, RESCUE, Molecular biology, chemistry, MOLECULAR-DYNAMICS, Mutagenesis, Site-Directed, DESIGNED PEPTIDE, Suppressor, Protein folding, THERMODYNAMIC STABILITY, Tumor Suppressor Protein p53, Protein Binding
Abstract

To assess the potential of mutations from the L1 loop of the tumour suppressor p53 as second-site suppressors, the effect of H115N and S116M on the p53 ‘hot spot’ mutations has been investigated using the double-mutant approach. The effects of these two mutants on the p53 hot spots in terms of thermal stability and DNA binding were evaluated. The results show that: (i) the p53 mutants H115N and S116M are thermally more stable than wild-type p53; (ii) H115N but not S116M is capable of rescuing the DNA binding of one of the most frequent p53 mutants in cancer, R248Q, as shown by binding of R248Q/H115N to gadd45 (the promoter of a gene involved in cell-cycle arrest); (iii) the double mutant R248Q/H115N is more stable than wild-type p53; (iv) the effect of H115N as a second-site suppressor to restore DNA-binding activity is specific to R248Q, but not to R248W; (v) molecular-dynamics simulations indicate that R248Q/H115N has a conformation similar to wild-type p53, which is distinct from that of R248Q. These findings could be exploited in designing strategies for cancer therapy to identify molecules that could mimic the effect of H115N in restoring function to oncogenic p53 mutants.

Published
2010
Full Text
View/download PDF

20. Structure and Stability Insights into Tumour Suppressor p53 Evolutionary Related Proteins

Author

Ester Akanho, Franca Fraternali, Penka V. Nikolova, Tam T. T. Bui, Alex F. Drake, Bruno Pagano, Pierre Martinez, Abdullah Jama, Pagano, Bruno, Jama, A., Martinez, P., Akanho, E., Bui, T. T. T., Drake, A. F., Fraternali, F., and Nikolova, P. V.

Subjects
Genetics, Multidisciplinary, Alternative splicing, lcsh:R, Molecular Sequence Data, lcsh:Medicine, Genomics, Computational biology, Biology, Protein superfamily, DNA-binding protein, Homology (biology), Protein Structure, Secondary, Protein Structure, Tertiary, Evolution, Molecular, Protein structure, Molecular evolution, Humans, lcsh:Q, Amino Acid Sequence, Tumor Suppressor Protein p53, lcsh:Science, Protein secondary structure, Protein Processing, Post-Translational, Research Article
Abstract

The p53 family of genes and their protein products, namely, p53, p63 and p73, have over one billion years of evolutionary history. Advances in computational biology and genomics are enabling studies of the complexities of the molecular evolution of p53 protein family to decipher the underpinnings of key biological conditions spanning from cancer through to various metabolic and developmental disorders and facilitate the design of personalised medicines. However, a complete understanding of the inherent nature of the thermodynamic and structural stability of the p53 protein family is still lacking. This is due, to a degree, to the lack of comprehensive structural information for a large number of homologous proteins and to an incomplete knowledge of the intrinsic factors responsible for their stability and how these might influence function. Here we investigate the thermal stability, secondary structure and folding properties of the DNA-binding domains (DBDs) of a range of proteins from the p53 family using biophysical methods. While the N- and the C-terminal domains of the p53 family show sequence diversity and are normally targets for post-translational modifications and alternative splicing, the central DBD is highly conserved. Together with data obtained from Molecular Dynamics simulations in solution and with structure based homology modelling, our results provide further insights into the molecular properties of evolutionary related p53 proteins. We identify some marked structural differences within the p53 family, which could account for the divergence in biological functions as well as the subtleties manifested in the oligomerization properties of this family.

Published
2013

Catalog

Books, media, physical & digital resources
See catalog results