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Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision

Description: Genomic Data Sharing by Jennifer B. Mccormick, Jyotishman Pathak Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine provides a comprehensive overview of current and emerging issues in genomic data sharing. In this book, international leaders in genomic data examine these issues in-depth, offering practical case studies that highlight key successes, challenges and opportunities. Sections discuss the eMERGE Network, Undiagnosed Disease Network, Vanderbilt Biobank, Marshfield Clinic Biobank, Minnesota Authorization, Rochester Epidemiology Project, NIH sponsored biobanks, GINA, and Global Alliance for Genomics and Health (GA4GH). In addition to these perspectives from the frontlines, the book also provides succinct overviews of ethical, legal, social and IT challenges.Clinician investigators, clinicians affiliated with academic medical centers, policymakers and regulators will also gain insights that will allow them to navigate the increasingly complex ethical, social and clinical landscape of genomic data sharing. Author Biography Dr. McCormick is an interdisciplinary academic having completed a doctorate degree in molecular and cellular biology, postdoctoral fellowship in biological chemistry, masters degree in public policy, and NIH Center of Excellence in ELSI Research fellowship. She conducts empirical studies examining the policy implications and ethical challenges of translating research into clinical care and public health. Much of her work focuses on the ethical, legal, political, and social implications of medical record and genomic data sharing, the challenges to protecting participants privacy and confidentiality in the era of big data, and the ethical complexities presented by translating genomic research findings into clinical and public health domains. She has also been involved in initiatives aimed at enhancing human participation in research and promoting professionalism and social responsibility in biomedical research. She lectures frequently on topics related to research and translational research ethics, translational genomics, and social responsibility and policy. She has published on topics related to research ethics consultation, genetic and genomic research and biobanking, human research participant engagement and protection, and challenges in translational research. Beyond Sputnik: US Science Policy in the 21st Century (Neal, Smith, and McCormick) is considered one of the first general textbooks on national science policy and is used in science policy training and fellowship programs. Dr. Pathak is the Frances & John L. Loeb Professor of Medical Informatics and the Chief of Division of Health Informatics at Weill Cornell Medicine, Cornell University, New York. Prior to joining Weill Cornell, he was the Professor of Biomedical Informatics at Mayo Clinic in Rochester, Minnesota (2007-2015) where he led two major NIH/HHS funded initiatives—the Electronic Medical Records and Genomics (eMERGE) and Strategic Health IT Research Project (SHARP) projects—which have pioneered techniques for high-throughput phenotyping from the electronic medical record. His research interests and expertise lie in developing and applying informatics methods for data mining and phenotype extraction from electronic medical records (EMRs), and their applications in pharmacogenomics, comparative effectiveness research, and population health research, particularly focusing on mental health disorders. Throughout his career, he has led and collaborated across multiple investigators in several NIH/DHHS consortiums, including, most recently at Mayo, as the Co-PI of eMERGE and PI of PCORI Learning Health Systems Clinical Data Research Network, and currently at Weill Cornell, as the Co-PI for the PCORI New York City Clinical Data Research Network (NYC-CDRN) and the PI for NIH Big Data to Knowledge (BD2K) R25 Training and Education Program on Biomedical Informatics (BD2BMI). Details ISBN 0128198036 ISBN-13 9780128198032 Title Genomic Data Sharing Author Jennifer B. Mccormick, Jyotishman Pathak Format Paperback Year 2022 Pages 230 Publisher Elsevier Science Publishing Co Inc GE_Item_ID:139388477; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9780128198032

Book Title: Genomic Data Sharing

Number of Pages: 360 Pages

Language: English

Publication Name: Genomic Data Sharing : Case Studies, Challenges, and Opportunities for Precision Medicine

Publisher: Elsevier Science & Technology

Publication Year: 2022

Subject: Life Sciences / Genetics & Genomics, Genetics

Type: Textbook

Item Length: 9.2 in

Subject Area: Science, Medical

Author: Jyotishman Pathak

Item Width: 7.5 in

Format: Trade Paperback

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