Medical Genetics Commons^™

Fairs - A Framework For Evaluating The Inclusion Of Sex In Clinical Algorithms, Katherine E Goodman, Jennifer Blumenthal-Barby, Rita F Redberg, Diane E Hoffmann

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.

Genome-Wide Association Study Reveals Shared And Distinct Genetic Architecture Of Fatty Acids And Oxylipins In The Hispanic Community Health Study/Study Of Latinos, Carolina G Downie, Heather M Highland, Mona Alotaibi, Barrett M Welch, Annie Green Howard, Susan Cheng, Nick Miller, Mohit Jain, Robert C Kaplan, Adam G Lilly, Tao Long, Tamar Sofer, Bharat Thyagarajan, Bing Yu, Kari E North, Christy L Avery

Faculty, Staff and Student Publications

Bioactive fatty acid-derived oxylipin molecules play key roles mediating inflammation and oxidative stress. Circulating levels of fatty acids and oxylipins are influenced by environmental and genetic factors; characterizing the genetic architecture of bioactive lipids could yield new insights into underlying biology. We performed a genome-wide association study (GWAS) of 81 fatty acids and oxylipins in 11,584 Hispanic Community Health Study/Study of Latinos (HCHS/SOL) participants with genetic and lipidomic data measured at study baseline (58.6% female, mean age = 46.1 years (standard deviation 13.8)). Additionally, given the effects of central obesity on inflammation, we examined interactions with waist circumference using two-degree-of-freedom …

A Caution Against Customized Ai In Healthcare, Kristin M Kostick-Quenet

Center for Medical Ethics and Health Policy Staff Publications

This article critiques the shift towards personalized AI in healthcare and other high-stakes domains, cautioning that without careful deliberation, customized AI systems can compromise the diversity and reach of human knowledge by restricting exposure to critical information that may conflict with users' preferences and biases. Customized AI should be applied with caution and intention where access to a wide and diverse range of perspectives is essential for impartial, informed decision making.

Adolescent And Caregiver Preparation For Legal Changes At Age 18, Blanca Sanchez-Fournier, Jordyn Babla, Mary Majumder, Beth H Garland, Constance M Wiemann, Albert C Hergenroeder

Center for Medical Ethics and Health Policy Staff Publications

Background: Most adolescents with special healthcare needs (ASHCN) will assume legal responsibility for making decisions about their medical treatment at age 18. Simultaneously, parents or other legal representatives (Caregivers) will lose ASHCN medical record access. This study examined ASHCN and Caregiver knowledge of, satisfaction with, and suggestions for improvement in preparing for these changes.

Methods: Eighty-three dyads (18-year-old ASHCN and Caregivers) completed an assessment to evaluate their knowledge about changes in responsibility for decision making with a focus on consent, satisfaction with the preparation received, and recommendations for improved preparation. Descriptive statistics and mean comparisons were used. Responses to open-ended …

Impact Of Personalized Risk Scores On Shared Decision Making In Left Ventricular Assist Device Implantation: Findings From A Qualitative Study, Holland Kaplan, Kristin Kostick-Quenet, Benjamin Lang, Robert J Volk, Jennifer Blumenthal-Barby

Center for Medical Ethics and Health Policy Staff Publications

Objective: To assess stakeholders' perspectives on integrating personalized risk scores (PRS) into left ventricular assist device (LVAD) implantation decisions and how these perspectives might impact shared decision making (SDM).

Methods: We conducted 40 in-depth interviews with physicians, nurse coordinators, patients, and caregivers about integrating PRS into LVAD implantation decisions. A codebook was developed to identify thematic patterns, and quotations were consolidated for analysis. We used Thematic Content Analysis in MAXQDA software to identify themes by abstracting relevant quotes.

Results: Clinicians had varying preferences regarding PRS integration into LVAD decision making, while patients and caregivers preferred real-time discussions about PRS with …

Deep Brain Stimulation For Childhood Treatment-Resistant Obsessive-Compulsive Disorder: Mental Health Clinician Views On Candidacy Factors, Ilona Cenolli, Tiffany A Campbell, Natalie Dorfman, Meghan Hurley, Jared N Smith, Kristin Kostick-Quenet, Eric A Storch, Jennifer Blumenthal-Barby, Gabriel Lázaro-Muñoz

Center for Medical Ethics and Health Policy Staff Publications

Introduction: Deep brain stimulation (DBS) is approved under a humanitarian device exemption to manage treatment-resistant obsessive-compulsive disorder (TR-OCD) in adults. It is possible that DBS may be trialed or used clinically off-label in children and adolescents with TR-OCD in the future. DBS is already used to manage treatment-resistant childhood dystonia. Evidence suggests it is a safe and effective intervention for certain types of dystonia. Important questions remain unanswered about the use of DBS in children and adolescents with TR-OCD, including whether mental health clinicians would refer pediatric patients for DBS, and who would be a good candidate for DBS.

Objectives: …

A Hybrid Cloud Data Lake Architecture Supporting The Integration Of Clinical And Genomics Data, Apollo Mcowiti, Heidi Dowst, Fei Zheng, Susan Hilsenbeck, Christopher Amos

Center for Medical Ethics and Health Policy Staff Publications

Objective: Cancer centers must quickly integrate clinical genomics data from different vendors for oncology operations and research. Clinical data warehouse architectures are costly to construct and brittle, and they are not readily amenable to the rapid changes in oncology research. We introduce a cost-effective hybrid cloud Data Lake architecture for storing clinical genomic data from different vendors, aiding both clinical and research workflows.

Methods: We created a Data Lake architecture based on the zone architecture, with four layers: ingestion, storage, transformation, and interaction. The layers are implemented with a hybrid cloud architecture. Rich metadata created from patient and genomic data …

A Landscape Analysis Of Psychedelic Retreat Organizations Advertising Online, Logan Neitzke-Spruill, Caroline S Beit, Jill Oliver Robinson, Nikita Singh, Srijith Kambala, Rishi Ramesh, Amy L Mcguire

Center for Medical Ethics and Health Policy Staff Publications

Research into psychedelics' clinical potential has corresponded to a growth in public interest and adult use. One common pathway to accessing psychedelics is through psychedelic retreats. While individual retreats have been characterized in the anthropological literature, no systematic evaluation of the psychedelic retreat industry exists. Assessing the characteristics of the psychedelic retreat industry is critical to understanding the associated ethical, legal, and social implications and ensuring consumer safety. To this end, we conducted a landscape analysis of online, publicly available information to capture and characterize a broad range of organizations offering psychedelic retreats and marketing to English-speaking consumers. From July …

Patient-Centric Federated Learning: Automating Meaningful Consent To Health Data Sharing With Smart Contracts, Kristin M Kostick-Quenet, Marcelo Corrales Compagnucci, Mateo Aboy, Timo Minssen

Center for Medical Ethics and Health Policy Staff Publications

Federated Learning (FL) promises to enhance data-driven health research by enabling collaborative machine learning across distributed datasets without direct data exchange. However, current FL implementations primarily reflect the data-sharing interests of institutional controllers rather than those of individual patients whose data are at stake. Existing consent mechanisms-like broad consent under HIPAA or explicit consent under the GDPR-fail to provide patients with control over how their data is used. This article explores the integration of smart contracts (SCs) into FL as a mechanism for automating, enforcing, and documenting consent in data transactions. SCs, encoded in decentralized ledger technologies, can ensure that …

Ethical, Legal, And Social Issues In Metaverse-Enabled Healthcare, Kristin M Kostick-Quenet, Vasiliki Rahimzadeh

Center for Medical Ethics and Health Policy Staff Publications

Metaverse is heralded by some as the next iteration of the internet. It offers three-dimensional, immersive virtual spaces, where users, represented as avatars, can synchronously work, play, interact, and transact. Initially developed within the realm of massive multiplayer online role-playing games, the metaverse now extends into sectors such as music, entertainment, retail, real estate, and, more recently, healthcare. Users engage in the metaverse using augmented reality or virtual reality (AR/VR) headsets that interoperate with other sensory devices to integrate biofeedback and multimodal data streams.1 In this article, the authors offer a conceptual synthesis and anticipatory policy analysis grounded in …

When Families Bridge The Research-Clinical Divide: An Exploration Of Values Regarding Cascade Screening In Genomic Research, Katherine E Bonini, Lauren R Desrosiers-Battu, Ann Katherine M Foreman, Nuriye N Sahin-Hodoglugil, Mary A Majumder, Candice R Finnila, Stephanie A Kraft, Laura M Amendola, Eimear E Kenny, Stephanie M Fullerton, Sara L Ackerman, Benjamin S Wilfond, Amy L Mcguire, Hadley Stevens Smith

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Genetic results are important for both patients and their biological relatives. However, cascade screening (CS) uptake is low, especially when testing occurs through research programs and not clinical care. Ethical guidance is needed for CS implementation when individuals receive clinical genetic results through research.

Methods: We conducted focus groups with 3 groups of individuals in the Clinical Sequencing Evidence-Generating Research Consortium: clinicians, patient representatives, and scholars of the ethical, legal, and social implications of genomics. We used inductive thematic and comparative analyses to analyze data within and across the groups.

Results: All participants (n = 27) agreed that …

Advancing Medical Applications Of Cancer Nanotechnology: Highlighting Two Decades Of The Nci's Nanotechnology Characterization Laboratory Service To The Research Community, Rachael M Crist, Yechezkel Barenholz, Ahuva Cern, Kate N Clark, Pieter R Cullis, Cheryl Dean, Neil Desai, Mauro Ferrari, Matthieu Germain, Carmen A Giacomantonio, Emma Grabarnik, Piotr Grodzinski, Atara Hod, Barry E Kennedy, Ruvanthi N Kularatne, Glen S Kwon, Emmanuel Loeb, Erin B Noftall, Len Pagliaro, Morteza Rasoulianboroujeni, Alexander Roth, Darren Rowles, Kulbir Singh, Nicole F Steinmetz, Zhanna Yehtina, Yao Zhang, Daniel Zilbersheid, Jeffrey D Clogston, Stephan T Stern, Marina A Dobrovolskaia

Center for Medical Ethics and Health Policy Staff Publications

The Nanotechnology Characterization Laboratory (NCL) is a US federally funded resource providing characterization and expertise to the cancer nanomedicine research community. Founded as a formal partnership among the US National Cancer Institute (NCI), the US Food and Drug Administration (FDA), and the US National Institute of Standards and Technology (NIST), the NCL has spent two decades developing a one-of-a-kind service with broad multidisciplinary expertise to meet the needs of a rapidly evolving drug development field. To mark the 20th anniversary of the lab's founding, the NCL hosted a symposium to highlight the achievements of the cancer nanomedicine field, showcase novel, …

Methadone For Critically Ill Patients Under Mechanical Ventilation In The Intensive Care Unit: A Systematic Review, Sérgio Martins Pereira, Megan Abbott, João Francisco Figueiredo Marcondes Ferraz, Akash Goel, Andrea Rigamonti, Charmaine De Castro, Lisa Burry, Airton Leonardo De Oliveira Manoel, Michael Chaim Sklar

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Pain may pose significant challenges in the intensive care unit, especially in mechanically ventilated patients. Methadone has recently emerged as an alternative option for eliciting acute analgesia. In this systematic review, we evaluated the use of methadone in mechanically ventilated patients in the intensive care unit.

Source: We searched MEDLINE, EMBASE, Wiley's Cochrane Library, CINAHL, PubMed (non-MEDLINE), Scopus, and LILACS databases from inception to January 24th, 2025. Eligible studies included randomized controlled trials and observational studies that compared the use of methadone to the standard of care or to other analgosedation strategies in mechanically ventilated patients in the intensive …

Health Equity Innovation In Precision Medicine: Data Stewardship And Agency To Expand Representation In Clinicogenomics, Patrick J Silva, Vasiliki Rahimzadeh, Reid Powell, Junaid Husain, Scott Grossman, Adam Hansen, Jennifer Hinkel, Rafael Rosengarten, Marcia G Ory, Kenneth S Ramos

Center for Medical Ethics and Health Policy Staff Publications

Most forms of clinical research examine a very minute cross section of the patient journey. Much of the knowledge and evidence base driving current genomic medicine practice entails blind spots arising from underrepresentation and lack of research participation in clinicogenomic databases. The flaws are perpetuated in AI models and clinical practice guidelines that reflect the lack of diversity in data being used. Participation in clinical research and biobanks is impeded in many populations due to a variety of factors that include knowledge, trust, healthcare access, administrative barriers, and technology gaps. A recent symposium brought industry, clinical, and research participants in …

What Patients And Caregivers Want To Know When Consenting To The Use Of Digital Behavioral Markers, Anika Sonig, Christine Deeney, Meghan E Hurley, Eric A Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

Center for Medical Ethics and Health Policy Staff Publications

Artificial intelligence (AI)-based computational tools for deriving digital behavioral markers are increasingly able to automatically detect clinically relevant patterns in mood and behavior through algorithmic analysis of continuously and passively collected data. The integration of these technologies into clinical care is imminent, most notably in clinical psychology and psychiatry but also other disciplines (e.g., cardiology, neurology, neurosurgery, pain management). Meanwhile, ethical guidelines for implementation are lacking, as are insights into what patients and caregivers want and need to know about these technologies to ensure acceptability and informed consent. In this work, we present qualitative findings from interviews with 40 adolescent …

Incorporating An Analytical Approach To Ethical Reasoning Into An Ethics Case Conference For Residents, Holland Kaplan, Alyssa Kahl, Jonathan Lim

Center for Medical Ethics and Health Policy Staff Publications

Educating residents to apply ethical principles in clinical practice is critical in achieving standards in professionalism. We implemented biweekly ethics morning report case conferences incorporating a validated analytical tool in medical ethics, the Four-Box Method, from July 2022 to June 2023 in our internal medicine residency program. In 24 ethics morning reports, over 73% of participants reported that the intervention helped them achieve each of three learning objectives in ethics education. Ninety-two percent of cases addressed > 1 ethical issue. Our intervention may be easily integrated into the morning report conference structure as an educational tool in medical ethics across internal …

Association Of Common And Rare Variants With Alzheimer’S Disease In More Than 13,000 Diverse Individuals With Whole-Genome Sequencing From The Alzheimer’S Disease Sequencing Project, Wan-Ping Lee, Seung Hoan Choi, Margaret G Shea, Po-Liang Cheng, Beth A Dombroski, Achilleas N Pitsillides, Nancy L Heard-Costa, Hui Wang, Katia Bulekova, Amanda B Kuzma, Yuk Yee Leung, John J Farrell, Honghuang Lin, Brian W Kunkle, Adam Naj, Elizabeth E Blue, Frederick Nusetor, Dongyu Wang, Eric Boerwinkle, William S Bush, Xiaoling Zhang, Philip L De Jager, Josée Dupuis, Lindsay A Farrer, Myriam Fornage, Eden Martin, Margaret Pericak-Vance, Sudha Seshadri, Ellen M Wijsman, Li-San Wang, Alzheimer's Disease Sequencing Project;, Gerard D Schellenberg, Anita L Destefano, Jonathan L Haines, Gina M Peloso

Faculty, Staff and Student Publications

INTRODUCTION: Alzheimer's disease (AD) is a common disorder of the elderly that is both highly heritable and genetically heterogeneous.

METHODS: We investigated the association of AD with both common variants and aggregates of rare coding and non-coding variants in 13,371 individuals of diverse ancestry with whole genome sequencing (WGS) data.

RESULTS: Pooled-population analyses of all individuals identified genetic variants at apolipoprotein E (APOE) and BIN1 associated with AD (p < 5 × 10

DISCUSSION: We observed that complementary pooled-population and subgroup-specific analyses offered unique insights into the genetic architecture of AD.

HIGHLIGHTS: We determine the association of genetic variants with Alzheimer's disease (AD) using …

Artificial Intelligence And Machine Learning In Cancer Pain: A Systematic Review, Vivian Salama, Brandon Godinich, Yimin Geng, Laia Humbert-Vidan, Laura Maule, Kareem A Wahid, Mohamed A Naser, Renjie He, Abdallah S R Mohamed, Clifton D Fuller, Amy C Moreno

Faculty, Staff and Student Publications

Background/objectives: Pain is a challenging multifaceted symptom reported by most cancer patients. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and pain management in cancer.

Methods: A comprehensive search of Ovid MEDLINE, EMBASE and Web of Science databases was conducted using terms: "Cancer," "Pain," "Pain Management," "Analgesics," "Artificial Intelligence," "Machine Learning," and "Neural Networks" published up to September 7, 2023. AI/ML models, their validation and performance were summarized. Quality assessment was conducted using PROBAST risk-of-bias andadherence to TRIPOD guidelines.

Results: Forty four studies from 2006 to 2023 were included. Nineteen studies used …

Association Of Common And Rare Variants With Alzheimer’S Disease In More Than 13,000 Diverse Individuals With Whole-Genome Sequencing From The Alzheimer’S Disease Sequencing Project, Wan-Ping Lee, Seung Hoan Choi, Margaret G Shea, Po-Liang Cheng, Beth A Dombroski, Achilleas N Pitsillides, Nancy L Heard-Costa, Hui Wang, Katia Bulekova, Amanda B Kuzma, Yuk Yee Leung, John J Farrell, Honghuang Lin, Brian W Kunkle, Adam Naj, Elizabeth E Blue, Frederick Nusetor, Dongyu Wang, Eric Boerwinkle, William S Bush, Xiaoling Zhang, Philip L De Jager, Josée Dupuis, Lindsay A Farrer, Myriam Fornage, Eden Martin, Margaret Pericak-Vance, Sudha Seshadri, Ellen M Wijsman, Li-San Wang, Alzheimer's Disease Sequencing Project, Gerard D Schellenberg, Anita L Destefano, Jonathan L Haines, Gina M Peloso

Center for Medical Ethics and Health Policy Staff Publications

Introduction: Alzheimer's disease (AD) is a common disorder of the elderly that is both highly heritable and genetically heterogeneous.

Methods: We investigated the association of AD with both common variants and aggregates of rare coding and non-coding variants in 13,371 individuals of diverse ancestry with whole genome sequencing (WGS) data.

Results: Pooled-population analyses of all individuals identified genetic variants at apolipoprotein E (APOE) and BIN1 associated with AD (p < 5 × 10-8). Subgroup-specific analyses identified a haplotype on chromosome 14 including PSEN1 associated with AD in Hispanics, further supported by aggregate testing of rare coding and non-coding variants in the region. Common variants in LINC00320 were observed associated with AD in Black individuals (p = 1.9 × 10-9). Finally, we observed rare non-coding variants in the promoter of TOMM40 distinct of APOE in pooled-population analyses (p = 7.2 × 10-8).

Discussion: We observed that complementary pooled-population and subgroup-specific analyses offered unique insights into the genetic architecture of AD.

Highlights: We determine the association of genetic variants with Alzheimer's disease (AD) using …

Update On Recommendations For Cancer Screening And Surveillance In Children With Genomic Instability Disorders, Yoshiko Nakano, Roland P Kuiper, Kim E Nichols, Christopher C Porter, Harry Lesmana, Julia Meade, Christian P Kratz, Lucy A Godley, Luke D Maese, Maria Isabel Achatz, Payal P Khincha, Sharon A Savage, Andrea S Doria, Mary-Louise C Greer, Vivian Y Chang, Lisa L Wang, Sharon E Plon, Michael F Walsh

Center for Medical Ethics and Health Policy Staff Publications

Genomic instability disorders are characterized by DNA or chromosomal instability, resulting in various clinical manifestations, including developmental anomalies, immunodeficiency, and increased risk of developing cancers beginning in childhood. Many of these genomic instability disorders also present with exquisite sensitivity to anticancer treatments such as ionizing radiation and chemotherapy, which may further increase the risk of second cancers. In July 2023, the American Association for Cancer Research held the second Childhood Cancer Predisposition Workshop, where multidisciplinary international experts discussed, reviewed, and updated recommendations for children with cancer predisposition syndromes. This article discusses childhood cancer risks and surveillance recommendations for the group …

Measuring Perceived Utility Of Genomic Sequencing: Development And Validation Of The Genetic Utility (Gene-U) Scale For Adult Screening, Hadley Stevens Smith, Caryn Kseniya Rubanovich, Jill Oliver Robinson, Ariel N Levchenko, Sarah A Classen, Janet Malek, Adam H Buchanan, Barbara Biesecker, Kyle B Brothers, Benjamin S Wilfond, Christine Rini, Cinnamon S Bloss, Amy L Mcguire, Sara J Knight

Center for Medical Ethics and Health Policy Staff Publications

Purpose: As population-based screening programs to identify genetic conditions in adults using genomic sequencing (GS) are increasingly available, validated patient-centered outcome measures are needed to understand participants' experience. We aimed to develop and validate an instrument to assess the perceived utility of GS in the context of adult screening.

Methods: Informed by a 5-domain conceptual model, we used a 5-step approach to instrument development and validation: (1) item writing, (2) cognitive testing, (3) pilot testing and item reduction, (4) psychometric testing, and (5) evaluation of construct validity. Adults undergoing risk-based or population-based GS who had received GS results as part …

How Do Parents Decide On Genetic Testing In Pediatrics? A Systematic Review, Hadley Stevens Smith, Bethany Zettler, Casie A Genetti, Madison R Hickingbotham, Tanner F Coleman, Matthew Lebo, Anna Nagy, Hana Zouk, Lisa Mahanta, Kurt D Christensen, Stacey Pereira, Nidhi D Shah, Nina B Gold, Sheyenne Walmsley, Sarita Edwards, Ramin Homayouni, Graham P Krasan, Hakon Hakonarson, Carol R Horowitz, Bruce D Gelb, Bruce R Korf, Amy L Mcguire, Ingrid A Holm, Robert C Green

Center for Medical Ethics and Health Policy Staff Publications

Efforts to implement and evaluate genome sequencing (GS) as a screening tool for newborns and infants are expanding worldwide. The first iteration of the BabySeq Project (2015-2019), a randomized controlled trial of newborn sequencing, produced novel evidence on medical, behavioral, and economic outcomes. The second iteration of BabySeq, which began participant recruitment in January 2023, examines GS outcomes in a larger, more diverse cohort of more than 500 infants up to one year of age recruited from pediatric clinics at several sites across the United States. The trial aims for families who self-identify as Black/African American or Hispanic/Latino to make …

Advances In Biomedical Research And Treatments: What Is Acceptable?, Michael L. Clancy, Khalid M. Iskandarani, Mitchell C. Mccrea

Journal of Health Ethics

This study investigated the technology acceptance (TA) of twenty-first century biomedical treatments by adults in the United States. A new TA instrument was created, using five distinct levels: (1) Healing and Prevention, (2) Replacement Organs, (3) Enhancements-Medical, (4) Enhancements-Discretionary, and (5) Transhumans. An on-line survey produced 353 usable responses, which showed distinct patterns for each of five biomedical treatment levels. There was clear support for Levels 1–3, but very strong opposition to Levels 4–5. The TA finding draws the line between which human interventions are acceptable versus others that should be prohibited through public policies and medical guidelines.

Methods For Pragmatic Randomized Clinical Trials Of Pain Therapies: Immpact Statement, David Hohenschurz-Schmidt, Dan Cherkin, Andrew S C Rice, Robert H Dworkin, Dennis C Turk, Michael P Mcdermott, Matthew J Bair, Lynn L Debar, Robert R Edwards, Scott R Evans, John T Farrar, Robert D Kerns, Michael C Rowbotham, Ajay D Wasan, Penney Cowan, Mckenzie Ferguson, Roy Freeman, Jennifer S Gewandter, Ian Gilron, Hanna Grol-Prokopczyk, Smriti Iyengar, Cornelia Kamp, Barbara I Karp, Bethea A Kleykamp, John D Loeser, Sean Mackey, Richard Malamut, Ewan Mcnicol, Kushang V Patel, Kenneth Schmader, Lee Simon, Deborah J Steiner, Christin Veasley, Jan Vollert

Faculty, Staff and Student Publications

Pragmatic, randomized, controlled trials hold the potential to directly inform clinical decision making and health policy regarding the treatment of people experiencing pain. Pragmatic trials are designed to replicate or are embedded within routine clinical care and are increasingly valued to bridge the gap between trial research and clinical practice, especially in multidimensional conditions, such as pain and in nonpharmacological intervention research. To maximize the potential of pragmatic trials in pain research, the careful consideration of each methodological decision is required. Trials aligned with routine practice pose several challenges, such as determining and enrolling appropriate study participants, deciding on the …

Qualitative Investigation Of School Experiences In Children With Osteogenesis Imperfecta, Julia M Morales, Andrew D Wiese, Whitney S Shepherd, Gianna M Colombo, Selena Guo, Justin Qian, W Conor Rork, Hannah Cho, Kristin M Kostick-Quenet, Dianne Nguyen, Erin M Carter, Michelle L Fynan, Members Of The Bbdc, Chaya N Murali, Marie-Eve Robinson, Sophie C Schneider, Brendan Lee, V Reid Sutton, Eric A Storch

Center for Medical Ethics and Health Policy Staff Publications

Osteogenesis imperfecta (OI) is a rare genetic chronic condition leading to fragile bones and frequent bone fractures with wide-reaching health implications. Current literature suggests that children with chronic diseases face unique challenges at school, yet research regarding educational concerns among those with OI is limited. The present study involved qualitative analysis of semi-structured interviews with 10 children with OI and 12 caregivers of a child with OI. Children and caregivers participated in the interviews individually; they were not dyads of participants. Half of the caregivers who participated had OI themselves. The interviews were coded, and six themes were identified: (1) …

Psychosocial Outcomes Of Pain And Pain Management In Adults With Osteogenesis Imperfecta: A Qualitative Study, Whitney S Shepherd, Andrew D Wiese, Hannah E Cho, W Conor Rork, M Usman Baig, Kristin M Kostick, Dianne Nguyen, Erin M Carter, Members Of The Bbdc, Chaya N Murali, Marie-Eve Robinson, Sophie C Schneider, Brendan Lee, V Reid Sutton, Eric A Storch

Faculty, Staff and Students Publications

Objectives

Osteogenesis imperfecta (OI) is a genetic disorder characterized by bone fragility and fractures, short stature, dental abnormalities, hearing loss, scoliosis, and chronic pain. Despite a growing literature on the functional outcomes of OI, limited research has explicitly examined the psychosocial outcomes of pain within OI.

Methods

Adults with OI (N=15) were interviewed to understand pain-related experiences through a thematic analysis of semi-structured interview data. Research team members, genetic research experts, and OI clinicians developed an interview guide focused on topics related to pain and mental health challenges. Participants’ transcripts were coded by two independent coders; codes were then merged …

Psychiatric Polygenic Risk Scores: Experience, Hope For Utility, And Concerns Among Child And Adolescent Psychiatrists, Amanda R Merner, Page M Trotter, Lauren A Ginn, Jason Bach, Katherine J Freedberg, Takahiro Soda, Eric A Storch, Stacey Pereira, Gabriel Lázaro-Muñoz

Center for Medical Ethics and Health Policy Staff Publications

Recent advances in psychiatric genetics have enabled the use of polygenic risk scores (PRS) to estimate genetic risk for psychiatric disorders. However, the potential use of PRS in child and adolescent psychiatry has raised concerns. This study provides an in-depth examination of attitudes among child and adolescent psychiatrists (CAP) regarding the use of PRS in psychiatry. We conducted semi-structured interviews with U.S.-based CAP (n=29) who possess expertise in genetics. The majority of CAP indicated that PRS have limited clinical utility in their current form and are not ready for clinical implementation. Most clinicians stated that nothing would motivate them to …

Large-Scale Genotype Prediction From Rna Sequence Data Necessitates A New Ethical And Policy Framework, Mary A Majumder, Jeffrey T Leek, Kasper D Hansen, Afrooz Razi, Amy L Mcguire

Center for Medical Ethics and Health Policy Staff Publications

Genotype prediction from RNA-seq data has become widespread. RNA-seq data, unlike DNA-seq data, are available as raw reads for many projects, with related protocols and consent terms typically inaccessible. However, there is a lack of clarity in current policy and inconsistency in practice with regard to the handling of these data. Here, we call for a framework for management of RNA-seq data and the predicted genotypes that includes registered access for RNA-seq data, controlled access for predicted genotypes, and a code of conduct for data access and use, as well as enhanced downstream protections.

Personal But Necessarily Predictive? Developing A Bioethics Research Agenda For Ai-Enabled Decision-Making Tools, Vasiliki Rahimzadeh

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.

Post-Trial Responsibilities In Pragmatic Clinical Trials: Fulfilling The Promise Of Research To Drive Real-World Change, Stephanie R Morain, P Pearl O'Rourke, Joseph Ali, Vasiliki Rahimzadeh, Devon K Check, Hayden B Bosworth, Jeremy Sugarman

Center for Medical Ethics and Health Policy Staff Publications

While considerable scholarship has explored responsibilities owed to research participants at the conclusion of explanatory clinical trials, no guidance exists regarding responsibilities owed at the conclusion of a pragmatic clinical trial (PCT). Yet post-trial responsibilities in PCTs present distinct considerations from those emphasized in existing guidance and prior scholarship. Among these considerations include the responsibilities of the healthcare delivery systems in which PCTs are embedded, and decisions about implementation for interventions that demonstrate meaningful benefit following their integration into usual care settings-or deimplementation for those that fail to do so. In this article, we present an overview of prior scholarship …