15 research outputs found
Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants
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. © 2018 The Author(s).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. © 2018 The Author(s).Peer reviewe
Germline variation at 8q24 and prostate cancer risk in men of European ancestry
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 < 4.28 × 10−15), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95%CI = 3.62–4.40) greater risk compared to the population average. These 12 variants account for ~25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification
A novel immunohistochemistry (IHC) algorithm for assigning cell of origin status in diffuse large B-cell lymphoma (DLBCL) that better predicts survival as compared to the Hans algorithm.
Relationships between chemotherapy, chemotherapy dose intensity and outcomes of follicular lymphoma in the immunochemotherapy era: a report from the University of Iowa/Mayo Clinic Lymphoma Specialized Program of Research Excellence Molecular Epidemiology Resource
Formation and evaluation of the ASCO medical education community of practice (Med Ed CoP).
Background: High quality education is crucial for hematology/oncology (H/O) training and lifelong learning. However, H/O has historically prioritized clinical and research careers over medical education careers. Consequently, few programs support H/O educators. A CoP is a group that shares “a concern or passion for something they do and learn how to do it better as they interact regularly.” We formed the ASCO Med Ed CoP in 2021 to provide a collaborative network and professional development venue for H/O educators. Methods: Following a published framework for developing a global health professions educator community (Establish-Grow-Sustain), we (ASCO Education Scholars Program graduates) developed CoP mission and vision statements and a leadership structure (Establish), formed committees and projects (Grow), and gathered at the ASCO Annual Meeting and via virtual Town Halls (Sustain). In 2023, we collected demographics and evaluated the CoP using a logic model focused on inputs, activities, outputs, and impact. Results: As of December 2023, the CoP includes 238 members from 143 institutions (38 [27%] non-U.S.): 207 (87%) ASCO members; 127 (53%) women, 106 (45%) men, 5 (2%) no response (NR); 111 (47%) White, 88 (37%) Asian/Pacific Islander, 27 (11%) Latinx/Hispanic, 12 (5%) Black/African-American, 8 (3%) Middle Eastern, 1 (0.4%) African, 16 (7%) NR; 146 (61%) hematologist/oncologists, 68 (29%) trainees, 6 (3%) radiation oncologists, 3 (1%) surgical oncologists, and 15 (6%) other professionals. The logic model is displayed (Table). Conclusions: The CoP has had an impact on its members, ASCO, and beyond and continues to grow and sustain itself by recruiting broadly, driving projects forward, and making structural adjustments for long-term sustainability. Upcoming projects include providing more educational resources and measuring outcomes such as changes in members’ knowledge, skills, and attitudes. Membership diversity continues to be a challenge and a priority.Logic model evaluating the ASCO Med Ed CoP.Inputs Activities Outputs ImpactCommittee chairs Leadership meetings 2 ASCO Post articles 3 ASCO Educational Book articles Presentation to American College of Rheumatology about CoP model Model for 11 additional ASCO CoPs Presence in literatureCommittee members Committee meetings 5 committees with projects (e.g. mentorship program) Committee members engaged in projects Med Ed mentors and mentees enrolled in ASCO mentorship programOther members Membership recruitment Town halls Newsletters 238 members 2 town halls 1 newsletter Membership engaged in Med Ed communityASCO annual meeting space Annual meeting events (speakers, Med Ed literature review) 2022 and 2023 events Recurring annual meeting presenceASCO MyConnection website Discussion posts Posted resources 55 posts 7 resources Website accessible to membershipTwitter/X account Social media posts 307 followers 78 posts @OncMedEdCoP<br/
Genetic Modifiers Play a Substantial Role in Diabetes Complicating Cystic Fibrosis
Context: Insulin-requiring diabetes affects 7–15% of teens and young adults, and more than 25% of older adults with cystic fibrosis (CF). Pancreatic exocrine disease caused by CF transmembrane conductance regulator (CFTR) dysfunction underlies the high rate of diabetes in CF patients; however, only a subset develops this complication, indicating that other factors are necessary
Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups