Presentation for teaching faculty about resources, data, issues, and strategies for including personal genomics in the classroom, within the context of precision medicine as an overarching theme.
Personal Genomes: what can I do with my data?Melanie Swan
Biology evolved to be just good enough to survive and genomics provides the critical next-generation toolkit for its greater exploitation. Genomics is already starting to be medically actionable and is likely to become increasingly useful over time. This presentation discusses how your genetic information is already useful today,
Personal Genomes: what can I do with my data?Melanie Swan
Biology evolved to be just good enough to survive and genomics provides the critical next-generation toolkit for its greater exploitation. Genomics is already starting to be medically actionable and is likely to become increasingly useful over time. This presentation discusses how your genetic information is already useful today,
Slides contain information about why bioinformatics appeared,
who bioinformaticians are, what they do, what kind of cool applications and challenges in bioinformatics there are.
Slides were prepared for the Bioinformatics seminar 2016, Institute of Computer Science, University of Tartu.
Introduction to Gene Mining Part A: BLASTn-off!adcobb
In this lesson, students will learn to use bioinformatics portals and tools to mine plant versions of human genes. Student handout and teacher resource materials are available at www.Araport.org, Teaching Resources (Community tab). Suitable for grades 9-12 or first year undergraduate students.
Introduction to Gene Mining: Part B: How similar are plant and animal version...adcobb
In this lesson, students will navigate BLASTp and www.Araport.org to determine whether plant and animal versions of genes and proteins are homologous. Student handout and teacher resources are available at www.Araport.org, teacher resources page (under Community). Suitable for grades 9-12 or first year undergraduate students.
Slides for the afternoon session on "Introduction to Bioinformatics", delivered at the James Hutton Institute, 29th, 20th May and 5th June 2014, by Leighton Pritchard and Peter Cock.
Slides cover introductory guidance and links to resources, theory and use of BLAST tools, and a workshop featuring some common tools and tasks.
Short tutorials on how to use the web-based tool DAVID - Database for Annotation, Visualization and Integrated Discovery) - http://david.abcc.ncifcrf.gov/
DAVID provides a comprehensive set of functional annotation tools for investigators to understand biological meaning behind large list of genes.
Making the most of phenotypes in ontology-based biomedical knowledge discoveryMichel Dumontier
A phenotype is an observable characteristic of an individually and typically pertains to its morphology, function, and behavior. Phenotypes, whether observed at the bench or the bedside, are increasingly being used to gain insight into the diagnosis, mechanism, and treatment of disease. A key aspect of these approaches involve comparing phenotypes that are defined in multiple terminologies that often cater to altogether different organisms, such as mice and humans. In this seminar, I will discuss computational approaches for harmonizing and utilizing phenotypes for translational research. We will examine case studies which involve the computation of semantic similarity including the use of phenotypes to inform clinical diagnosis of rare diseases, to identify human drug targets using mice knock-out models, and to explore phenotype-based approaches for drug repositioning .
Illuminating the Druggable Genome with Knowledge Engineering and Machine Lear...Jeremy Yang
Talk given at 14th Annual New Mexico BioInformatics, Science and Technology (NMBIST) Symposium, entitled Integrative Omics, on March 14-15, 2019. Most slides c/o IDG KMC PI Tudor Oprea, MD, PhD.
DIYgenomics: An Open Platform for Democratizing the GenomeMelanie Swan
Redesigning biology may be man's ultimate artistic and scientific exploit. The first steps are reading and writing genetic data with DNA sequencing and synthetic biology. Already human genome sequencing costs have declined such that individuals worldwide are accessing their own genomic data, and can explore it through open-source science communities such as DIYgenomics.
Univ of Miami CTSI: Citizen science seminar; Oct 2014Richard Bookman
The University of Miami's Clinical & Translational Science Institute runs a seminar course for MS students.
This talk surveys 8 citizen science projects, reviews NIH's current activities, and identifies issues for attention, particularly with ethical, legal and social implications.
Slides contain information about why bioinformatics appeared,
who bioinformaticians are, what they do, what kind of cool applications and challenges in bioinformatics there are.
Slides were prepared for the Bioinformatics seminar 2016, Institute of Computer Science, University of Tartu.
Introduction to Gene Mining Part A: BLASTn-off!adcobb
In this lesson, students will learn to use bioinformatics portals and tools to mine plant versions of human genes. Student handout and teacher resource materials are available at www.Araport.org, Teaching Resources (Community tab). Suitable for grades 9-12 or first year undergraduate students.
Introduction to Gene Mining: Part B: How similar are plant and animal version...adcobb
In this lesson, students will navigate BLASTp and www.Araport.org to determine whether plant and animal versions of genes and proteins are homologous. Student handout and teacher resources are available at www.Araport.org, teacher resources page (under Community). Suitable for grades 9-12 or first year undergraduate students.
Slides for the afternoon session on "Introduction to Bioinformatics", delivered at the James Hutton Institute, 29th, 20th May and 5th June 2014, by Leighton Pritchard and Peter Cock.
Slides cover introductory guidance and links to resources, theory and use of BLAST tools, and a workshop featuring some common tools and tasks.
Short tutorials on how to use the web-based tool DAVID - Database for Annotation, Visualization and Integrated Discovery) - http://david.abcc.ncifcrf.gov/
DAVID provides a comprehensive set of functional annotation tools for investigators to understand biological meaning behind large list of genes.
Making the most of phenotypes in ontology-based biomedical knowledge discoveryMichel Dumontier
A phenotype is an observable characteristic of an individually and typically pertains to its morphology, function, and behavior. Phenotypes, whether observed at the bench or the bedside, are increasingly being used to gain insight into the diagnosis, mechanism, and treatment of disease. A key aspect of these approaches involve comparing phenotypes that are defined in multiple terminologies that often cater to altogether different organisms, such as mice and humans. In this seminar, I will discuss computational approaches for harmonizing and utilizing phenotypes for translational research. We will examine case studies which involve the computation of semantic similarity including the use of phenotypes to inform clinical diagnosis of rare diseases, to identify human drug targets using mice knock-out models, and to explore phenotype-based approaches for drug repositioning .
Illuminating the Druggable Genome with Knowledge Engineering and Machine Lear...Jeremy Yang
Talk given at 14th Annual New Mexico BioInformatics, Science and Technology (NMBIST) Symposium, entitled Integrative Omics, on March 14-15, 2019. Most slides c/o IDG KMC PI Tudor Oprea, MD, PhD.
DIYgenomics: An Open Platform for Democratizing the GenomeMelanie Swan
Redesigning biology may be man's ultimate artistic and scientific exploit. The first steps are reading and writing genetic data with DNA sequencing and synthetic biology. Already human genome sequencing costs have declined such that individuals worldwide are accessing their own genomic data, and can explore it through open-source science communities such as DIYgenomics.
Univ of Miami CTSI: Citizen science seminar; Oct 2014Richard Bookman
The University of Miami's Clinical & Translational Science Institute runs a seminar course for MS students.
This talk surveys 8 citizen science projects, reviews NIH's current activities, and identifies issues for attention, particularly with ethical, legal and social implications.
2016 Data Commons and Data Science Workshop June 7th and June 8th 2016. Genomic Data Commons, FAIR, NCI and making data more findable, publicly accessible, interoperable (machine readable), reusable and support recognition and attribution
MseqDR consortium: a grass-roots effort to establish a global resource aimed ...Human Variome Project
The success of whole exome sequencing (WES) for highly heterogeneous disorders, such as mitochondrial disease, is limited by substantial technical and bioinformatics challenges to correctly identify and prioritize the extensive number of sequence variants present in each patient. The likelihood of success can be greatly improved if a large cohort of patient data is assembled in which sequence variants can be systematically analysed, annotated, and interpreted relative to known phenotype. This effort has engaged and united more than 100 international mitochondrial clinicians, researchers, and bioinformaticians in the Mitochondrial Disease Sequence Data Resource (MSeqDR) consortium that formed in June 2012 to identify and prioritize the specific WES data analysis needs of the global mitochondrial disease community. Through regular web-based meetings, we have familiarized ourselves with existing strengths and gaps facing integration of MSeqDR with public resources, as well as the major practical, technical, and ethical challenges that must be overcome to create a sustainable data resource. We have now moved forward toward our common goal by establishing a central data resource (http://mseqdr.org/) that has both public access and secure web-based features that allow the coherent compilation, organization, annotation, and analysis of WES and mtDNA genome data sets generated in both clinical- and research-based settings of suspected mitochondrial disease patients. The most important aims of the MSeqDR consortium are summarized in the MSeqDR portal within the Consortium overview sections. Consortium participants are organized in 3 working groups that include (1) Technology and Bioinformatics; (2) Phenotyping, databasing, IRB concerns and access; and (3) Mitochondrial DNA specific concerns. The online MSeqDR resource is organized into discrete sections to facilitate data deposition and common reannotation, data visualization, data set mining, and access management. With the support of the United Mitochondrial Disease Foundation (UMDF) and the NINDS/NICHD U54 supported North American Mitochondrial Disease Consortium (NAMDC), the MSeqDR prototype has been built. Current major components include common data upload and reannotation using a novel HBCR based annotation tool that has also been made publicly available through the website, MSeqDR GBrowse that allows ready visualization of all public and MSeqDR specific data including labspecific aggregate data visualization tracks, MSeqDR-LSDB instance of nearly 1250 mitochondrial disease and mitochodnrial localized genes that is based on the Locus Specific Database model, exome data set mining in individuals or families using the GEM.app tool, and Account & Access Management. Within MSeqDR GBrowse it is now possible to explore data derived from MitoMap, HmtDB, ClinVar, UCSC-NumtS, ENCODE, 1000 genomes, and many other resources that bioinformaticians recruited to the project are organizing.
Justify Your Conclusions
Hiv Aids Conclusions
Essay on Hypothesis and Conclusion
Sampling Methods Essay
Conclusion Of Solar Energy
Titanium Essay
Research Methods Essay
Dental Hygienist Conclusion
Conclusion Of Globalization
US Federal Cancer Moonshot- One Year LaterJerry Lee
Presentation from former Cancer Moonshot Data and Technology Track Co-chairs Jerry S.H. Lee, PhD (NCI, former OVP) and Dimitri Kusnezov, PhD (DOE) to update on efforts that will help realize the Data/Tech Track's vision of a national learning healthcare system for cancer. These include NCI/DOE pilots, DOE/VA pilot, NCI GDC, DoD/VA/NCI APOLLO, NCI/GSK ATOM, and BloodPAC.
Keynote at NVIDIA GPU Technology Conference in D.C.Jerry Lee
Presentation at NVIDIA GPU Technology Conference in D.C. on how the Cancer Moonshot Task Force under Vice President Biden is using AI to help end cancer as we know it. Dr. Lee will discuss global efforts to empower A.I. and deep learning for oncology with larger and more accessible datasets.
searching tips and tools, recommendations, getting the most from databases, finding RCTs, EBP, evidence based practice, hospital library, DeepWeb, Grey Literature, Altmetrics,
An Introduction to Bioinformatics
Drexel University INFO648-900-200915
A Presentation of Health Informatics Group 5
Cecilia Vernes
Joel Abueg
Kadodjomon Yeo
Sharon McDowell Hall
Terrence Hughes
Searching for Clinical Trials using clinicaltrials.gov and specialized search
engines
Rob Camp goes through various online tools and search engines which enable
patients to search for clinical trials. Rob’s background includes serving as
Executive Director of the EATG (European AIDS Treatment Group), the creation
of an HIV organisation in Barcelona, the creation of national groups in Spain
and other countries (organising seminars on how to create organisations in EU
Eastern States, Southern States), leading projects supported by the European
Commission department for Public Health (DG SANCO), working on funding for
NGOs. Rob is currently working half time in the US as liaison between patient
organisations and the FDA, and spends the rest of his time in Europe. Rob
speaks English and Spanish
Presented at ASIS&T 2009 in the student awards section. The presentation contains an overview of my dissertation proposal, as 2009 winner of the Thomson Reuters Information Science Doctoral Dissertation Proposal Scholarship, administered by the ASIS&T Information Science Education Committee
Brisbane Health-y Data: Supplementary materials on consent formsARDC
Additional material from Sarah Olesen, presenter at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Open human genome data - presentation at the annual TKT/CLIDP doctoral programme symposium 2016 "Open up! – Open Data and Open Access" of the University of Turku.
Presentation on knowledge synthesis methodologies with a focus on engineering, for University of Michigan, October 25, 2023. Overview of the broader context, then focuses in on systematic reviews and tech mining.
PF Anderson presents for OLLI-UM on February 25, 2021. Graphic Medicine describes the genre of comics and graphic novels around healthcare, as told from personal and professional perspectives. Many think of comics as for children, but that could be risky with some of these! The personal experiences described can be tender or gritty, and touch on topics such as specific conditions, social justice, dying, lived experiences, resilience. Visual aspects of storytelling take advantage of new literacies, offering insights not possible through other mediums.
Brief lightning talk for UofM THL, repeated for MLA Research Caucus on January 27, 2021. On the subject of using systematic review search skills in combination with non-systematic review research methodologies.
As part of the #GraphicMedLibs panel for the August 5, 2020 NNLM NER webinar on Graphic Medicine, PF Anderson discussed awareness of #OwnVoices issues in both comics creation and collections, along with strategies and tools to utilize the #OwnVoices movement in the creation of community and awareness of social justice themes in #GraphicMedicine. This presentation represents the work of PF Anderson (UM-THL) with collaborators Claire Myers (UMSI), Gina Genova (UMSI), Susan Brown (Ypsilanti District Library), and David Carter (UM-AAEL).
"Research core facilities are centralized shared research resources that provide access to instruments, technologies, services, as well as expert consultation..." That sounds a lot like a library to me. What would look different about libraries if we thought of them as a research core facility?
This was a presentation for a research lab at the University of Michigan, May 28, 2019.
A storytelling workshop collaboration with Melissa Cunningham (Office of Patient Experience), Alex Fox (School of Public Health), and Patricia F. Anderson (Taubman Health Sciences Library). The focus of the workshop was on tools and strategies for telling patient and healthcare stories.
Slide deck for the Dent 610 graduate level course on research methods, 2018 version; collaboratively developed by Mark MacEachern, Patricia F. Anderson, and Tyler Nix.
Presented at Meaningful Play 2018, East Lansing, Michigan. Please note, the website for the game (http://aberrantry.com/) is in development at this time. The game code is in GitHub, & a download link is available at the website.
A design thinking approach to rapidly developing comics concepts. Workshop presentation by PF Anderson, University of Michigan. Developed for the Office of Health Equity and Inclusion.
Using design thinking strategies to help bootstrap developing a comic concept. A workshop presentation by PF Anderson for Enriching Scholarship, 2018, at the University of Michigan.
Tips and tricks for writing abstracts for science research articles to maximise citations and impact. Presented at the University of Michigan in May 2018.
A basic introduction to rapid reviews, created for a graduate student workshop, March 2018, presented by PF Anderson from the University of Michigan. Includes links to more resources, standards and guidelines, tools, software, and more.
A strategic approach to crafting abstracts for life sciences research publications to maximize their discovery in search engines as well as utility and citability for audiences beyond other researchers. This workshop was designed for the University of Michigan North Campus Research Center community.
A session for the Dent 610 course at the University of Michigan, on research methods and processes. Specific focus of this session on systematic review methods and processes, especially through database searching.
A presentation by Dr. David Cheney for the Investing in Abilities 2017 lecture series, on emerging technologies and tech strategies for empowerment, especially focused on using education to crowdsource solutions to interesting problems and develop compassion and a sense of humanity.
A presentation by Dr. Michelle A. Meade for the Investing in Abilities 2017 lecture series, on emerging technologies and tech strategies for empowerment.
Slides for a lightning round talk presented at Comics and Medicine, Seattle, also known as Graphic Medicine Conference, 2017. The project presented was by PF Anderson, Elise Wescom, Kai Donovan, and Ruth Carlos, and originally published in the December 2016 issue of the Journal of the American College of Radiology (JACR).
A poster by Kai Donovan, Elise Wescom, Mark Chaffee, Jean Song, Breanna Hamm, and Chase Masters for the 2017 Annual Meeting of the Medical Library Association.
More from University of Michigan Taubman Health Sciences Library (20)
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Pubrica’s team of researchers and writers create scientific and medical research articles, which may be important resources for authors and practitioners. Pubrica medical writers assist you in creating and revising the introduction by alerting the reader to gaps in the chosen study subject. Our professionals understand the order in which the hypothesis topic is followed by the broad subject, the issue, and the backdrop.
https://pubrica.com/academy/case-study-or-series/how-many-patients-does-case-series-should-have-in-comparison-to-case-reports/
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
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India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
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Growing Prevalence of Lifestyle Diseases
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One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfSachin Sharma
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This includes tasks like:
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Administering medications and treatments.
Performing procedures as directed by doctors.
Assisting with daily living activities (bathing, feeding).
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Objective: Promote healthy behaviors and educate children, families, and communities about preventive healthcare.
This includes tasks like:
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Providing education on nutrition, hygiene, and development.
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Objective: Stay up-to-date on the latest advancements in pediatric healthcare through continuing education and research.
Objective: Contribute to improving the quality of care for children by participating in research initiatives.
This includes tasks like:
Attending workshops and conferences on pediatric nursing.
Participating in clinical trials related to child health.
Implementing evidence-based practices into their daily routines.
By fulfilling these objectives, pediatric nurses play a crucial role in ensuring the optimal health and well-being of children throughout all stages of their development.
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
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Enriching Scholarship Personal Genomics presentation
1. Personal Genomics For
Teaching Genetic Concepts,
Information, & Resources
PF Anderson, Emerging Technologies Informationist,
Taubman Health Sciences Library, University of Michigan
May 3, 2017
2. Abstract
Precision medicine is a hot new buzzword, radically changing how we look at and use
data and information sources in life sciences research and healthcare. While there are a
lot of different potential data sources to integrate in precision medicine, one of the most
popular is genomic data, and personal genomics is a relatively easy way to start
exploring this space. Have you wanted to use personal genomics in exercises with your
students, but thought it would be too expensive or time-consuming to be practical? Not
necessarily. In this session, you’ll discover personal genomics resources and strategies
for using them, from data to analysis, from easy to expert.
3. Genomics in precision medicine
TRACO 2016
1) Exposome
2) Genome
3) Metabolome
4) Epigenome
5) Transcriptome
6) Microbiome
7) Clinical Information
8) Epidemiological data
<https://youtu.be/3IDpbTveeTo?t=6m28s>
TRACO 2016: Precision Medicine and Nanotechnology. Curtis C. Harris, M.D., NCI, NIH and Marina
Dobrovolskaia, MD, NCI, NIH; Monday, November 28, 2016, 4:00:00 PM
4. Genomics in precision medicine
Amongst the most prominent parameters
of disease are an individual’s:
1. Genome
2. Transcriptome
3. Proteome
4. Metabolome
5. Lipidome
6. Epigenome
Toward Precision Medicine: Building a
Knowledge Network for Biomedical
Research and a New Taxonomy of Disease
<https://www.nap.edu/catalog/13284/tow
ard-precision-medicine-building-a-knowle
dge-network-for-biomedical-research>
“But the prospect of applying this concept
broadly has been dramatically improved by
the recent development of large-scale
biologic databases (such as the human
genome sequence), powerful methods for
characterizing patients (such as proteomics,
metabolomics, genomics, diverse cellular
assays, and even mobile health technology),
and computational tools for analyzing large
sets of data.” F. Collins, NEJM 2015 Feb 26;
372(9): 793–795.
<https://www.ncbi.nlm.nih.gov/pmc/articles/
PMC5101938/>
Image: The Genomics Era: the Future of Genetics in Medicine
<https://www.futurelearn.com/courses/the-genomics-era/0/steps/4923>
5. Personal genomics
in self-tracking
150 of the Best Self-Quantification
Tools (Apps, Sites and Trackers)
Quantified Self / Biohacking Tools
and Resources
https://www.quantifiedbob.com/se
lf-tracking-tools-and-resources/
Images: 150 of the Best Self-Quantification
Tools (Apps, Sites and Trackers). Rezzan
Hussey November 26, 2015.
<http://www.artofwellbeing.com/2015/11/26/self-
quantification/#DNA_microbiome_and_nutritiona
l_testing> | Wikimedia:
File:QuantimetricSelfSensingPrototypeMann199
6inset.jpg
<https://commons.wikimedia.org/wiki/File:Quanti
metricSelfSensingPrototypeMann1996inset.jpg>
6. My personal genomics story
in 25 words or less
BEFORE
● Doctor(s): Tell me where it hurts.
● Me: EVERYWHERE. And ...
● Doctor(s): How long have you hurt?
● Me: 20 years? Forever?
● Doctor(s): It’s probably in your head.
AFTER
What worked? gluten-free diet + new vitamins + exercise
<http://www.slideshare.net/perplexity/celiac-hidden-stories-invisible-disabilities>
Image:
<http://commons.wikimedia.org/wiki/File:Whites%E2%80%99_Physiological_manikin..JPG>
7. What’s YOUR personal genomics story?
1) Curious?
2) I’ve taken a spit test
3) I’m a committed
amateur
4) I’m a professional
geek about this
5) I want to explore this
for teaching
6) Something else
entirely
8. What’s the plan
What is personal genomics (PGen)?
PGen services
How it works
What it can (and can’t do)
Analogies
Risks
Ethics and stuff
Working with data (+ free tools)
Teaching examples
10. What is personal genomics?
Individual vs. population
<http://www.nature.com/gim/journal/v11/n
8/full/gim200978a.html>
Genetics (heredity) vs genomics (functions &
interactions)
<http://www.who.int/genomics/geneticsVSg
enomics/en/>
Image credits: <https://openclipart.org/detail/181150/shadow-of-person-standing-leg-cross-and-put-hands-in-the-pockets> |
<https://openclipart.org/detail/46141/group-of-people>
14. And then there’s UM’s “Genes for Good” (FREE!)
● NOTE: Free, but not fast.
● “Genes for Good is a research study
conducted at the University of
Michigan.
● The major goal of the study is to
engage tens of thousands of
individuals in genetic research.
● The primary tool to accomplish this is
the Genes for Good Facebook App.”
<https://genesforgood.sph.umich.edu/> |
<https://genesforgood.sph.umich.edu/face
book_app>
17. 23andMe (and the FDA)
THEN: NOW:
Images: NATURE > Regulation: The FDA is overcautious on consumer genomics
<http://www.nature.com/news/regulation-the-fda-is-overcautious-on-consumer-genomics-1.14527> NYTimes > F.D.A. Will Allow 23andMe to Sell Genetic Tests for Disease
Risk to Consumers <https://www.nytimes.com/2017/04/06/health/fda-genetic-tests-23andme.html>
18. What personal
genomics CAN’T
do
“*Our tests can be used to determine carrier
status in adults from saliva collected using an
FDA-cleared collection device (Oragene DX model
OGD.500.001), but cannotdetermine if you
have two copies of the genetic variant. Each test
is most relevant for people of certain ethnicities.
The tests are notintended to diagnose a
disease, or tell you anything about your risk for
developing a disease in the future. On their own,
carrier status tests are notintended to tell you
anything about the health of your fetus, or your
newborn child’s risk of developing a particular
disease later in life.” 23andMe,
<https://customercare.23andme.com/hc/en-us/a
rticles/212194308-Health-Reports-and-Ethnicity>
19. Why not?
Personal genomics tends to “cherry pick” genes to
examines throughout the entire “orchard” of the
genome.
Clinical genomics take more of an “apple
harvesting” comprehensive deep dive into the
products of a single “tree.”
Image credits: <https://commons.wikimedia.org/wiki/File:Cherry_picking_201127_(5991855207).jpg> |
<https://commons.wikimedia.org/wiki/File:Apple_Harvest_by_Camille_Pissarro.jpg>
21. Our genes are like a score …
They tell us what notes are intended.
Image credits: <https://commons.wikimedia.org/wiki/File:Codons_aminoacids_table.png> |
<https://commons.wikimedia.org/wiki/File:Johann_Sebastian_Bach_-_BWV_Anh._117a_-_Polonaise_in_F_major.pdf>
22. … but they can’t tell us how good the piano is,
or how recently it was tuned, …
Image credits: <https://commons.wikimedia.org/wiki/File:The_Honky_Tonk_Blues_-_geograph.org.uk_-_1625960.jpg> |
<https://commons.wikimedia.org/wiki/File:Steinway_%26_Sons_concert_grand_piano,_model_D-274,_manufactured_at_Steinway%27s_factory_in_Hambu
rg,_Germany.png>
23. … or who is playing, or where, or …
Image credits: <https://commons.wikimedia.org/wiki/File:Student_of_House_of_Piano_Music_Academy.JPG> | Hans Bernhard (Schnobby): Oscar Peterson
Plays Piano <https://commons.wikimedia.org/wiki/Oscar_Peterson#/media/File:Oscar_Peterson_1.JPG> |
<https://commons.wikimedia.org/wiki/File:Arthur_Rubinstein_1906.jpg>
25. You get clues, to take to a detective
Clues or hints to health puzzles or
mysteries
Image credits: <https://commons.wikimedia.org/wiki/Sherlock_Holmes#/media/File:Basil_Rathbone_Sherlock_Holmes.jpeg> |
<https://commons.wikimedia.org/wiki/File:Cluedo_Game_Board.jpeg>
26. Finding Your Detectives!
Family Physicians:
<http://familydoctor.org/familydoctor/en.html>
Genetic Counselors: <http://www.nsgc.org/>
Genetics Home Reference <https://ghr.nlm.nih.gov/>
And (with caution) patient or public forums like
Patients Like Me and 23andMe, as well as
disease-specific patient forums.
27. Are there any
risks?
Image credits: <https://openclipart.org/detail/10970/prohibition1> | <https://openclipart.org/detail/10972/prohibition2> |
<https://openclipart.org/detail/10974/prohibition3> | <https://openclipart.org/detail/10976/prohibition4> | <https://openclipart.org/detail/10978/fire-forbidden-sign> |
<https://openclipart.org/detail/10980/prohibition6> | <https://openclipart.org/detail/10982/prohibition7> | <https://openclipart.org/detail/10984/prohibition8>
28. Risks of personal genomics
Finding out something you don’t want to
know
Misunderstanding / misinterpreting what
you find out
Other people finding out something you
don’t want them to know (employers,
insurance, friends, family)
Discovering relatives you don’t know about
Being discovered BY relatives you don’t
know about
Genetics, a double-edged sword
<https://raceandtechnology.wordpress.com/2014/
12/10/genetics-a-double-edged-sword-2/>
GINA - Genetic Information Nondiscrimination Act
<https://www.eeoc.gov/laws/types/genetic.cfm>
29. Risks of personal genomics
● Artificial Insemination Nightmare Revealed by DNA Test
<http://www.yourgeneticgenealogist.com/2014/01/artificial-insemin
ation.html>
● From dream to nightmare: when your sperm donor has secrets
<https://www.theguardian.com/science/2016/aug/29/sperm-donor-
deceivers-dream-turns-nightmare>
● How personal genomics spells the end of donor anonymity
<http://www.bionews.org.uk/page_645114.asp>
● I Got My Personal Genome Mapped and It Was Bullshit
<https://www.vice.com/en_us/article/personal-genomics-companies
-23andme>
● Who’s Your Daddy?
<http://www.slate.com/articles/health_and_science/science/2013/0
5/paternity_testing_personal_genomics_companies_will_reveal_dn
a_secrets.html>
...
Image: Denmark can into mutant sperm donations <https://commons.wikimedia.org/wiki/File:Denmark_can_into_mutant_sperm_donations.png>
31. Open access sources of genomic data
● “To find out what's genetically wrong
with me, click over to SNPedia where
I have posted the results of my
23andMe genotype screening tests
for all to see.”
<http://reason.com/blog/2017/04/06
/fda-loosens-its-shackles-on-23andm
e-pers>
● OpenSNP <https://opensnp.org/>
○ Me (yes, REALLY!):
<https://opensnp.org/users/14
17>
32. Open access sources of genomic data
● 69 Genomes Data:
<http://www.completegenomics.com/publ
ic-data/69-genomes/>
● ENSEMBL: Homo sapiens:
<http://www.ensembl.org/Homo_sapiens/I
nfo/Index>
● Genome Databases & Browsers:
<http://www.genenames.org/useful/geno
me-databases-and-browsers>
● Google Genomics
<https://cloud.google.com/genomics/>
● IGSR and the 1000 Genomes Project
<http://www.internationalgenome.org/>
33. Open access sources of genomic data
● Leiden Open (source) Variation Database.
<http://www.lovd.nl/3.0/home>
● NCI Genomic Data Commons
<https://gdc.cancer.gov/>
● Open Personal Genomics Consortium
<http://www.openpgx.org/>
● Personal Genome Project:
<http://www.personalgenomes.org/>
● More (open access data and open sources
bioinformatics tools)
https://www.one-tab.com/page/fbvZfZuyT
zq_XnKUWkOq8g
45. 23andMe: 3rd Party Tools
23and You: <http://www.23andyou.com/3rdparty>
ISOGG: Autosomal DNA Tools: <http://isogg.org/wiki/Autosomal_DNA_tools>
A few of my (FREE) favorites:
● GEDmatch: <http://gedmatch.com/>
● Genetic Genie: <http://geneticgenie.org/>
● Promethease: <http://snpedia.com/index.php/Promethease>
● David Pike's DNA Comparison Utilities:
<http://www.math.mun.ca/~dapike/FF23utils/>
● Interpretome: <http://esquilax.stanford.edu/>
Not free:
● Strategene <http://go.strategene.org/genetic-analysis/>
46. Talking with
your doctor(s)
about your
results
(i.e. ethics and stuff)
Images: <https://openclipart.org/detail/262573/doctor-holding-clipboard> |
<https://openclipart.org/detail/261044/doctor-holding-clipboard>
47. Doctors can react in different ways …
OMG, it’s a real genetic test!
Wow! Let’s change all your
meds!
OMG, it’s a
personal
genomic
test. Not
another
one! I
don’t have
time for
this.
OMG, it’s a real genetic
test! Wow! Let’s
change all your meds!
OMG, it’s a personal genomic
test. Not another one! I don’t
have time for this.
Image credits:
<https://openclipart.org/detail/242102/surprised> |
<https://openclipart.org/detail/213625/facepalm-as-
gesture>
48. Best is
something
like this —>
Not this —> OMG! (too much
action, too little data)
Or this —> OMG! (not enough
action, not enough conversation
about why it’s important)
Hmmmm. Well, this is interesting,
and while it really doesn’t tell us
anything definitive yet, it does
suggest some areas we might
want to explore. Let’s talk more.
Would you be willing to have some
more tests? Or see a genetic
counselor? I’m thinking of …
Image credits:
<https://openclipart.org/detail/242102/surprised> |
<https://openclipart.org/detail/245805/Doctors-and-
nurses-and-hospital-staff> |
<https://openclipart.org/detail/213625/facepalm-as-
gesture>
49. More
information &
resources
● DIYgenomics: <http://www.diygenomics.org/index.php>
● DNA.Land: <https://dna.land/>
● Genetics Home Reference (NIH):
<https://ghr.nlm.nih.gov/>
● GeneKnot: <https://geneknot.com/>
● Genomes Unzipped: <http://genomesunzipped.org/>
● Infinome: <https://www.infino.me/welcome>
● Patients Like Me: <https://www.patientslikeme.com/>
● Your Genome: <http://www.yourgenome.org/>
53. Teaching Examples
● BYU: PWS168 Personal Genomics (John Chaston)
● Carnegie Mellon: Human Genetics and Personal Genomics (Javier Lopez and
Linda Visomirski-Robic) (Press)
● Cornell: Personal Genomics and Medicine -- Why Should You Care About
What's in Your Genes? (Press)
● Drury U.: Advanced Molecular Genetics 322 (Roger J. Young)
● Duke U.: N562 Applied Genomics and Personalized Medicine in Clinical Care
● Duke U.: N563 Trends in Genetics and Genomics for Health Care and Society
(Jennifer R. Dungan, Allison Vorderstrasse, Sara H. Katsanis)
● Georgetown U.: GNMX201: Personalized Genomics: An Exploration into the
Heritable Elements of Disease (About, Press)
● John Hopkins: Computational Personal Genomics. BME 580.689 (Steven
Salzberg)
● MIT: Personal Genomics and Medicine: What's in Your Genome?
Image: Berlin Naturkundemuseum DNA <https://commons.wikimedia.org/wiki/File:Berlin_Naturkundemuseum_DNA.jpg>
54. Teaching Examples
● Penn State: Genes and Human Biology, Behavior, and Evolution, Anthropology
297A (David Puts, Mark Shriver)
● Stanford U.: Personal Genomics and Your Health (XGEN205)
● UCLA: MGMT 275 Current Topics In Emerging Technologies: Healthcare
Technology (Roy Doumani, Jennifer McCaney)
● U. Illinois-UC: The Molecular Me (Jeff Moore)
● U. Iowa: Who are you? Revelations from The Personal Genome G4G (Bryant
Alexander)
● U. Michigan: HBHE 669: Genetics, Health Behavior, & Health Education (Scott
Roberts)
● U. Minnesota: “LL X028 - Genomes: Understanding Your Body's Ancestry”
(David Matthes)
● U. New Hampshire: GEN 714 (M1) - Personal Genomics (Sarah Prescott)
● Vanderbilt: School of Medicine course lets students test own DNA (Ellen
Wright-Clayton, MD, JD, Dan Roden, MD)
Image: MTHFR
<https://commons.wikimedia.org/wiki/Fil
e:MTHFR.jpg>
55. Issues Teaching with Personal Genomics
COST (& Time):
“McAllister's seminar is open to students from
all areas of study, and submitting a test to
23andMe is optional. He uses his seminar
budget to pay for the $199 DNA kits, so
there's no added course fee. Over the course
of the semester, students also take part in class
discussions on the societal impact of
commercial genetics testing, write blog posts
on the course webpage, and learn how to
analyze their genetic data beyond the reports
provided by 23andMe.”
<http://www.iowalum.com/magazine/nov16/fi
ndingthemselves.cfm>
56. Issues Teaching with Personal Genomics
LEGAL:
● CON: “The University’s original plan was to allow students to elect to receive the
results of their tests as part of the program. Two weeks ago, however, the California
Department of Public Health (CDPH) ruled that if Berkeley wanted to return
personalized genetic data to some of its freshmen, the testing must be conducted at
the direction of a physician and performed by a licensed clinical laboratory.”
● PRO: “If personal genomics is ever to live up to its name, at some point we must allow
individuals – including the future leaders of our society, as embodied by Berkeley’s
incoming freshmen – to decide for themselves whether and how to participate. To do
otherwise, and to continue to aggressively criticize and thereby discourage personal
genomics innovation in our zeal to render it a riskless enterprise, would be a
mistake.”
○ <https://www.genomicslawreport.com/index.php/2010/09/08/getting-serious-
about-personal-genomics-risks/>
Image: Gender equality icon
<https://openclipart.org/detail/244113/ge
nder-equality-icon-2>
57. Issues Teaching with Personal Genomics
● “Stanford and Berkeley faced the same essential ethical dilemmas
in creating their programs: avoiding coercion, protecting students'
privacy and adequately preparing students to interpret the results
of their tests. But the two universities took markedly different
approaches to designing and executing their respective projects.”
<https://www.scientificamerican.com/article/exposing-the-student
-body/>
○ Outsourcing vs. testing on campus
○ Consulting with campus bioethics committee/IRB/etc.
■ What is asked for
■ What happens with information
■ How students are asked to respond to the info
○ Privacy concerns
○ Student reactions & nature of population
Image: COI
<https://commons.wikimedia.org/wiki/Fil
e:UserpageCOI.svg>
58. More Teaching Examples & Resources
● Higher ed
○ 23andMe: A Fresh Take on Genetics for Freshmen
<https://blog.23andme.com/education/a-fresh-take-on-genetics-for-freshman/>
● Any educational level
○ Genetics Lesson Plans
<http://www.teach-nology.com/teachers/lesson_plans/science/biology/genetics/>
○ PBS: The Ethical Considerations of Personal Genomics
<https://dptv.pbslearningmedia.org/resource/cygc12.sci.life.gen.lpethics/the-ethical-considerations-
of-personal-genomics/>
● General resources
○ 23andMe for Education <https://education.23andme.org/>
○ Genetics Home Reference <https://ghr.nlm.nih.gov/>
○ NIH: Genetics, Education, & Discovery <https://geneed.nlm.nih.gov/topic_subtopic.php?tid=35> |
Teacher Resources <https://geneed.nlm.nih.gov/specialty.php?spageID=2>
○ Personal Genetics Education Project <https://pged.org/> | Lesson Plans
<https://pged.org/lesson-plans/>
○ Smithsonian Institution: Genome Educator Guide:
<https://naturalhistory.si.edu/exhibits/genome/Genome-Educator-Guide.pdf>
○ Virtual Genome Project: Lesson Plans: <http://people.ibest.uidaho.edu/~etop/vgp/lessonPlans.html>
Image:
<https://commons.wikimedia.org/wi
ki/File:Brokechromo.jpg>