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Archive for the ‘Next Generation Sequencing (NGS)’ Category

Roche is developing a high-throughput low cost sequencer for NGS, How NGS Will Revolutionize Reproductive Diagnostics: November Meeting, Boston MA, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Roche is developing a high-throughput low cost sequencer for NGS

Reporter: Stephen J. Williams, PhD

 

Reported from Diagnostic World News

Long-Read Sequencing in the Age of Genomic Medicine

 

 

By Aaron Krol

December 16, 2015 | This September, Pacific Biosciences announced the creation of the Sequel, a DNA sequencer half the cost and seven times as powerful as its previous RS II instrument. PacBio, with its unique long-read sequencing technology, had already secured a place in high-end research labs, producing finished, highly accurate genomes and helping to explore the genetic “dark matter” that other next-generation sequencing (NGS) instruments miss. Now, in partnership with Roche Diagnostics, PacBio is repositioning itself as a company that can serve hospitals as well.

“Pseudogenes, large structural variants, validation, repeat disorders, polymorphic regions of the genome―all those are categories where you practically need PacBio,” says Bobby Sebra, Director of Technology Development at the Icahn School of Medicine at Mount Sinai. “Those are gaps in the system right now for short-read NGS.”

Mount Sinai’s genetic testing lab owns three RS II sequencers, running almost around the clock, and was the first lab to announce it had bought a Sequel just weeks after the new instruments were launched. (It arrived earlier this month and has been successfully tested.) Sebra’s group uses these sequencers to read parts of the genome that, thanks to their structural complexity, can only be assembled from long, continuous DNA reads.

There are a surprising number of these blind spots in the human genome. “HLA is a huge one,” Sebra says, referring to a highly variable region of the genome involved in the immune system. “It impacts everything from immune response, to pharmacogenomics, to transplant medicine. It’s a pretty important and really hard-to-genotype locus.”

Nonetheless, few clinical organizations are studying PacBio or other long-read technologies. PacBio’s instruments, even the Sequel, come with a relatively high price tag, and research on their value in treating patients is still tentative. Mount Sinai’s confidence in the technology is surely at least partly due to the influence of Sebra―an employee of PacBio for five years before coming to New York―and Genetics Department Chair Eric Schadt, at one time PacBio’s Chief Scientific Officer.

Even here, the sequencers typically can’t be used to help treat patients, as the instruments are sold for research use only. Mount Sinai is still working on a limited number of tests to submit as diagnostics to New York State regulators.

Physician Use

Roche Diagnostics, which invested $75 million in the development of the Sequel, wants to change that. The company is planning to release its own, modified version of the instrument in the second half of 2016, specifically for diagnostic use. Roche will initially promote the device for clinical studies, and eventually seek FDA clearance to sell it for routine diagnosis of patients.

In an email to Diagnostics World, Paul Schaffer, Lifecycle Leader for Roche’s sequencing platforms division, wrote that the new device will feature an integrated software pipeline to interpret test results, in support of assays that Roche will design and validate for clinical indications. The instrument will also have at least minor hardware modifications, like near field communication designed to track Roche-branded reagents used during sequencing.

This new version of the Sequel will probably not be the first instrument clinical labs turn to when they decide to start running NGS. Short-read sequencers are sure to outcompete the Roche machine on price, and can offer a pretty useful range of assays, from co-diagnostics in cancer to carrier testing for rare genetic diseases. But Roche can clear away some of the biggest barriers to entry for hospitals that want to pursue long-read sequencing.

Today, institutions like Mount Sinai that use PacBio typically have to write a lot of their own software to interpret the data that comes off the machines. Off-the-shelf analysis, with readable diagnostic reports for doctors, will make it easier for hospitals with less research focus to get on board. To this end, Roche acquired Bina, an NGS analysis company that handles structural variants and other PacBio specialties, in late 2014.

The next question will be whether Roche can design a suite of tests that clinical labs will want to run. Long-read sequencing is beloved by researchers because it can capture nearly complete genomes, finding the correct order and orientation of DNA reads. “The long-read technologies like PacBio’s are going to be, in the future, the showcase that ties it all together,” Sebra says. “You need those long reads as scaffolds to bring it together.”

But that envisions a future in which doctors will want to sequence their patients’ entire genomes. When it comes to specific medical tests, targeting just a small part of the genome connected to disease, Roche will have to content itself with some niche applications where PacBio stands out.

Early Applications

“At this time we are not releasing details regarding the specific assays under development,” Schaffer told Diagnostics World in his email. “However, virology and genetics are a key focus, as they align with other high-priority Roche Diagnostics products.”

Genetic disease is the obvious place to go with any sequencing technology. Rare hereditary disorders are much easier to understand on a genetic level than conditions like diabetes or heart disease; typically, the pathology can be traced back to a single mutation, making it easy to interpret test results.

Some of these mutations are simply intractable for short-read sequencers. A whole class of diseases, the PolyQ disorders and other repeat disorders, develop when a patient has too many copies of a single, repetitive sequence in a gene region. The gene Huntingtin, for example, contains a long stretch of the DNA code CAG; people born with 40 or more CAG repeats in a row will develop Huntington’s disease as they reach early adulthood.

These disorders would be a prime target for Roche’s sequencer. The Sequel’s long reads, spanning thousands of DNA letters at a stretch, can capture the entire repeat region of Huntingtin at a stretch, unlike short-read sequencers that would tend to produce a garbled mess of CAG reads impossible to count or put in order.

Nonetheless, the length of reads is not the only obstacle to understanding these very obstinate diseases. “The entire category of PolyQ disorders, and Fragile X and Huntington’s, is really important,” says Sebra. “But to be frank, they’re the most challenging even with PacBio.” He suggests that, even without venturing into the darkest realms of the genome, a long-read sequencer might actually be useful for diagnosing many of the same genetic diseases routinely covered by other instruments.

That’s because, even when the gene region involved in a disease is well known, there’s rarely only one way for it to go awry. “An example of that is Gaucher’s disease, in a gene called GBA,” Sebra says. “In that gene, there are hundreds of known mutations, some of which you can absolutely genotype using short reads. But others, you would need to phase the entire block to really understand.” Long-read sequencing, which is better at distinguishing maternal from paternal DNA and highlighting complex rearrangements within a gene, can offer a more thorough look at diseases with many genetic permutations, especially when tracking inheritance through a family.

“You can think of long-read sequencing as a really nice way to supplement some of the inherited panels or carrier screening panels,” Sebra says. “You can also use PacBio to verify variants that are called with short-read sequencing.”

Virology is, perhaps, a more surprising focus for Roche. Diagnosing a viral (or bacterial, or fungal) infection with NGS only requires finding a DNA read unique to a particular species or strain, something short-read sequencers are perfectly capable of.

But Mount Sinai, which has used PacBio in pathogen surveillance projects, has seen advantages to getting the full, completely assembled genomes of the organisms it’s tracking. With bacteria, for instance, key genes that confer resistance to antibiotics might be found either in the native genome, or inside plasmids, small packets of DNA that different species of bacteria freely pass between each other. If your sequencer can assemble these plasmids in one piece, it’s easier to tell when there’s a risk of antibiotic resistance spreading through the hospital, jumping from one infectious species to another.

Viruses don’t share their genetic material so freely, but a similar logic can still apply to viral infections, even in a single person. “A virus is really a mixture of different quasi-species,” says Sebra, so a patient with HIV or influenza likely has a whole constellation of subtly different viruses circulating in their body. A test that assembles whole viral genomes—which, given their tiny size, PacBio can often do in a single read—could give physicians a more comprehensive view of what they’re dealing with, and highlight any quasi-species that affect the course of treatment or how the virus is likely to spread.

The Broader View

These applications are well suited to the diagnostic instrument Roche is building. A test panel for rare genetic diseases can offer clear-cut answers, pointing physicians to any specific variants linked to a disorder, and offering follow-up information on the evidence that backs up that call.

That kind of report fits well into the workflows of smaller hospital labs, and is relatively painless to submit to the FDA for approval. It doesn’t require geneticists to puzzle over ambiguous results. As Schaffer says of his company’s overall NGS efforts, “In the past two years, Roche has been actively engaged in more than 25 partnerships, collaborations and acquisitions with the goal of enabling us to achieve our vision of sample in to results out.”

But some of the biggest ways medicine could benefit from long-read sequencing will continue to require the personal touch of labs like Mount Sinai’s.

Take cancer, for example, a field in which complex gene fusions and genetic rearrangements have been studied for decades. Tumors contain multitudes of cells with unique patchworks of mutations, and while long-read sequencing can pick up structural variants that may play a role in prognosis and treatment, many of these variants are rarely seen, little documented, and hard to boil down into a physician-friendly answer.

An ideal way to unravel a unique cancer case would be to sequence the RNA molecules produced in the tumor, creating an atlas of the “transcriptome” that shows which genes are hyperactive, which are being silenced, and which have been fused together. “When you run something like IsoSeq on PacBio and you can see truly the whole transcriptome, you’re going to figure out all possible fusions, all possible splicing events, and the true atlas of reads,” says Sebra. “Cancer is so diverse that it’s important to do that on an individual level.”

Occasionally, looking at the whole transcriptome, and seeing how a mutation in one gene affects an entire network of related genes, can reveal an unexpected treatment option―repurposing a drug usually reserved for other cancer types. But that takes a level of attention and expertise that is hard to condense into a mass-market assay.

And, Sebra suggests, there’s another reason for medical centers not to lean too heavily on off-the-shelf tests from vendors like Roche.

Devoted as he is to his onetime employer, Sebra is also a fan of other technologies now emerging to capture some of the same long-range, structural information on the genome. “You’ve now got 10X Genomics, BioNano, and Oxford Nanopore,” he says. “Often, any two or even three of those technologies, when you merge them together, can get you a much more comprehensive story, sometimes faster and sometimes cheaper.” At Mount Sinai, for example, combining BioNano and PacBio data has produced a whole human genome much more comprehensive than either platform can achieve on its own.

The same is almost certainly true of complex cases like cancer. Yet, while companies like Roche might succeed in bringing NGS diagnostics to a much larger number of patients, they have few incentives to make their assays work with competing technologies the way a research-heavy institute like Mount Sinai does.

“It actually drives the commercialization of software packages against the ability to integrate the data,” Sebra says.

Still, he’s hopeful that the Sequel can lead the industry to pay more attention to long-read sequencing in the clinic. “The RS II does a great job of long-read sequencing, but the throughput for the Sequel is so much higher that you can start to achieve large genomes faster,” he says. “It makes it more accessible for people who don’t own the RS II to get going.” And while the need for highly specialized genetics labs won’t be falling off anytime soon, most patients don’t have the luxury of being treated in a hospital with the resources of Mount Sinai. NGS companies increasingly see physicians as some of their most important customers, and as our doctors start checking into the health of our genomes, it would be a shame if ubiquitous short-read sequencing left them with blind spots.

Source: http://diagnosticsworldnews.com/2015/12/16/long-read-sequencing-age-genomic-medicine.aspx

 

 

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Next-generation genetic sequencing found right diagnosis for Australian ‘Mystery Boy’

 

Reporter: Aviva Lev-Ari, PhD, RN

Mystery Boy Brandon Keesing was incorrectly diagnosed with a degenerative muscular disease until revolutionary genetic sequencing gave him life-changing news.

Originally thought that Keesing has a mitochondrial disease, doctors had been wrong all along. Revolutionary advances in genetic sequencing proved he did not have mitochondrial disease at all. “In recent years the capacity to read the genetic code of every single gene — all 20,000 of them in the human body — has reached a point where it is now efficient, accurate, cost-effective to be able to do this,” he says.

 

The new technique is called “next generation sequencing” — and where previously it took weeks or months to analyse the code of a single gene, today laboratory computers can decode all 20,000 genes in one go.

 

Almost immediately Westmead Children’s Hospital researchers could pinpoint which one of Brandon’s genes had a mutation. Professor Christodoulou illustrates how the technique works on a chart. “So here in the unaffected individual we have an ‘A’. Here in the affected individual we have a ‘G’. And that’s precisely where the mistake is,” he says.

 

Doctors using next generation sequencing discovered in fact that Brandon had congenital myasthenia — a different genetic disease which also affects the muscles. But although incurable, it is not usually fatal and can be treated with medication.

 

“The name of the gene that we found the mistakes in is called COLQ, and it has a completely different role,” Professor Christodoulou says. “It has nothing to do with mitochondrial energy production. “What it is involved in is co-ordinating the communication of nerve cells with the muscle, so that the muscle, when it receives an impulse from a nerve cell, it contracts and relaxes appropriately.

 

“So the problem with the COLQ mistakes is that this process couldn’t be co-ordinated properly. And that’s what actually led to his progressive problems.”

 

Finding that one gene in 20,000 has transformed Brandon’s life. A simple drug quickly restored some of his muscle strength. As quickly as he had deteriorated as a toddler, he suddenly began making huge strides.

“We noticed it straight away. By the end of that week he got up off that bed and he walked,” she says, wiping away tears. “That was unreal. I’ll never forget that day. I was so happy for him and … I just knew from that he was going to grow, he was going to enjoy his life that much more than what he had before. And he has.”

 

Professor Christodoulou says it was a very gratifying outcome for doctors.

Sourced through Scoop.it from: www.abc.net.au

See on Scoop.itCardiovascular and vascular imaging

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How NGS Will Revolutionize Reproductive Diagnostics: November Meeting, Boston MA, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)
Reproductive Genetic Dx | Nov. 18-19 | Boston, MA
Reporter: Stephen J. Williams, Ph.D.
Reproductive Genetic Diagnostics
Advances in Carrier Screening, Preimplantation Diagnostics, and POC Testing
November 18-19, 2015  |  Boston, MA
healthtech.com/reproductive-genetic-diagnosticsMount Sinai Hospital’s Dr. Tanmoy Mukherjee to Present at Reproductive Genetic Diagnostics ConferenceTanmoy MukherjeePodcastNumerical Chromosomal Abnormalities after PGS and D&C
Tanmoy Mukherjee, M.D., Assistant Clinical Professor, Obstetrics, Gynecology and Reproductive Science, Mount Sinai Hospital
This review provides an analysis of the most commonly identified numerical chromosome abnormalities following PGS and first trimester D&C samples in an infertile population utilizing ART. Although monosomies comprised >50% of all cytogenetic anomalies identified following PGS, there were very few identified in the post D&C samples. This suggests that while monosomies occur frequently in the IVF population, they commonly do not implant.

In a CHI podcast, Dr. Mukherjee discusses the current challenges facing reproductive specialists in regards to genetic diagnosis of recurrent pregnancy loss, as well as how NGS is affecting this type of testing > Listen to Podcast

Register  SAVE up to $200, Register by October 9

Learn More  |  Present a Poster  |  Sponsorship & Exhibit Information  |  View Brochure

CONFERENCE-AT-A-GLANCE

ADVANCES IN NGS AND OTHER TECHNOLOGIES

Keynote Presentation: Current and Expanding Invitations for Preimplantation Genetic Diagnosis (PGD)
Joe Leigh Simpson, MD, President for Research and Global Programs, March of Dimes Foundation

Next-Generation Sequencing: Its Role in Reproductive Medicine
Brynn Levy, Professor of Pathology & Cell Biology, CUMC; Director, Clinical Cytogenetics Laboratory, Co-Director, Division of Personalized Genomic Medicine, College of Physicians and Surgeons, Columbia University Medical Center, and the New York Presbyterian Hospital

CCS without WGA
Nathan Treff, Director, Molecular Biology Research, Reproductive Medicine Associates of New Jersey, Associate Professor, Department of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers-Robert Wood Johnson Medical School, Adjunct Faculty Member, Department of Genetics, Rutgers-The State University of New Jersey

Concurrent PGD for Single Gene Disorders and Aneuploidy on a Single Trophectoderm Biopsy
Rebekah S. Zimmerman, Ph.D., FACMG, Director, Clinical Genetics, Foundation for Embryonic Competence

Live Birth of Two Healthy Babies with Monogenic Diseases and Chromosome Abnormality Simultaneously Avoided by MALBAC-based Combined PGD and PGS
Xiaoliang Sunney Xie, Ph.D., Mallinckrodt Professor of Chemistry and Chemical Biology, Department of Chemistry and Chemical Biology, Harvard University

Good Start GeneticsAnalytical Validation of a Novel NGS-Based Pre-implantation Genetic Screening Technology
Mark Umbarger, Ph.D., Director, Research and Development, Good Start Genetics


CLINICAL APPLICATIONS FOR ADVANCED TESTING TECHNOLOGIES

Expanded Carrier Screening for Monogenic Disorders
Peter Benn, Professor, Department of Genetics and Genome Sciences, University of Connecticut Health Center

Oocyte Mitochondrial Function and Testing: Implications for Assisted Reproduction
Emre Seli, MD, Yale School of Medicine

Preventing the Transmission of Mitochondrial Diseases through Germline Genome Editing
Alejandro Ocampo, Ph.D., Research Associate, Gene Expression Laboratory – Belmonte, Salk Institute for Biological Studies

Silicon BiosystemsRecovery and Analysis of Single (Fetal) Cells: DEPArray Based Strategy to Examine CPM and POC
Farideh Bischoff, Ph.D., Executive Director, Scientific Affairs, Silicon Biosystems, Inc.

> Sponsored Presentation (Opportunities Available)

Numerical Chromosomal Abnormalities after PGS and D&C
Tanmoy Mukherjee, M.D., Assistant Clinical Professor, Obstetrics, Gynecology and Reproductive Science, Mount Sinai Hospital

EMBRYO PREPARATION, ASSESSMENT, AND TREATMENT

Guidelines and Standards for Embryo Preparation: Embryo Culture, Growth and Biopsy Guidelines for Successful Genetic Diagnosis
Michael A. Lee, MS, TS, ELD (ABB), Director, Laboratories, Fertility Solutions

Current Status of Time-Lapse Imaging for Embryo Assessment and Selection in Clinical IVF
Catherine Racowsky, Professor, Department of Obstetrics, Gynecology & Reproductive Biology, Harvard Medical School; Director, IVF Laboratory, Brigham & Women’s Hospital

The Curious Case of Fresh versus Frozen Transfer
Denny Sakkas, Ph.D., Scientific Director, Boston IVF

Why Does IVF Fail? Finding a Single Euploid Embryo is Harder than You Think
Jamie Grifo, M.D., Ph.D., Program Director, New York University Fertility Center; Professor, New York University Langone Medical Center

BEST PRACTICES AND ETHICS

Genetic Counseling Bridges the Gap between Complex Genetic Information and Patient Care
MaryAnn W. Campion, Ed.D., MS, CGC; Director, Master’s Program in Genetic Counseling; Assistant Dean, Graduate Medical Sciences; Assistant Professor, Obstetrics and Gynecology, Boston University School of Medicine

Ethical Issues of Next-Generation Sequencing and Beyond
Eugene Pergament, M.D., Ph.D., FACMG, Professor, Obstetrics and Gynecology, Northwestern; Attending, Northwestern University Medical School Memorial Hospital

Closing Panel: The Future of Reproductive Genetic Diagnostics: Is Reproductive Technology Straining the Seams of Ethics?
Moderator:
Mache Seibel, M.D., Professor, OB/GYN, University of Massachusetts Medical School; Editor, My Menopause Magazine; Author, The Estrogen Window
Panelists:
Rebekah S. Zimmerman, Ph.D., FACMG, Director, Clinical Genetics, Foundation for Embryonic Competence
Denny Sakkas, Ph.D., Scientific Director, Boston IVF
Michael A. Lee, MS, TS, ELD (ABB), Director of Laboratories, Fertility Solutions
Nicholas Collins, MS, CGC, Manager, Reproductive Health Specialists, Counsyl

Arrive Early and Attend Advances in Prenatal Molecular Diagnostics – Register for Both Events and SAVE!

Prenatal Molecular Dx | Nov. 16-18 | Boston, MA

CHI, 250 First Avenue, Suite 300, Needham, MA, 02494, Tel: 781-972-5400 | Fax: 781-972-5425

 

 

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 Sequencing yourself! and Learn more on Genome Sequencing on Tuesday, November 17, 2015 from 8am-5pm in the Joseph B. Martin Conference Center of the Harvard New Research Building at Harvard Medical School, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Sequencing yourself! and Learn more on Genome Sequencing on Tuesday, November 17, 2015 from 8am-5pm in the Joseph B. Martin Conference Center of the Harvard New Research Building at Harvard Medical School

Reporter: Aviva Lev-Ari, PhD, RN

Become one of the first humans to have your entire genome sequenced, while participating in an interactive set of presentations and debates about the promise and limitations of genome sequencing from some of the world’s leading genomic scientists.

The UYG Boston is an invitation-only, interactive symposium in which approximately 60 leaders from the Boston business and academic communities will have the opportunity to undergo whole genome sequencing, and to explore their own genome as part of an all-day educational conference with exciting presentations, debates and comments from some of the most thought-provoking leaders in the field of sequencing, informatics and genomic medicine.

Co-sponsors:

  • Brigham Genome Medicine, Brigham and Women’s Hospital
  • Partners Personalized Medicine and Laboratory for Molecular Medicine
  • Precision Medicine Program at Brigham and Women’s Hospital
  • Department of Pathology at Brigham and Women’s Hospital
  • Analytic and Translational Genetics Unit, Massachusetts General Hospital
  • The Broad Institute of Harvard and MIT
  • Department of Pathology at Massachusetts General Hospital
  • Division of Genetics, Department of Medicine, Brigham and Women’s Hospital

http://uygboston.uygsymposium.com/

 

Draft Agenda for UYG Agenda, November 17, 2015, NRB Rotunda Room

Registration is still open at this link: http://uygboston.uygsymposium.com

Breakfast and Registration

7:30-8:30

Module 1: Understanding the Basics of Genetics and Genomics

 

Moderator: __________________________________

8:30 am -9:55 am

(10) Robert Green: Welcome and Introductory Remarks

(20) Stacey Gabriel: Technical Overview of Sequencing, Alignment and Variant Calling

(20) Heidi Rehm: Variant Classification and Lab Reporting: the Good, the Bad and the VUS

(20) Daniel MacArthur: Using Large Datasets to Explore Penetrance

(15) Questions and Discussion

Coffee Break

9:55 am – 10:10 am

Module 2: Sequencing and Informatics in Clinical Care

 

Moderator: __________________________________

10:10 am-11:30 noon

(20) Dick Maas: Sequencing in Undiagnosed Cases

(20) Kricket Seidman: Sequencing in the Care of Specific Diseases (Cardiomyopathy)

(20) Zak Kohane: Sequencing and Informatics

(20) Discussion

Luncheon: Understand Your Genome®

11:30 noon – 1:00 pm

Pechet Room

Lunch for those who have been sequenced or wish to learn to use the MyGenome web portal with the demo genome (seating is limited to 40 WGS attendees + 10 additional attendees):

(30) Erica Ramos: Clinical Whole Genome Sequencing in a Healthy Population

(30) Erica Ramos: MyGenome Web Portal Revealed

(30) Erica Ramos and Genetic Counselors: Holding and Exploring Your Own Genome

Lunch served separately for those who do not wish to explore MyGenome Web App

Module 3: Sequencing in Research: from Discovery to Patient Care

 

Moderator: __________________________________

1:00 pm – 2:40 pm

(10) Jeff Flier: Afternoon welcome and remarks

(20) Sek Kathiresan: Developing Medicines that Mimic Natural Genomic Successes

(20) Calum MacRae: Global Phenotyping and the Clinic of the Future

(10) Heidi Rehm: ClinGen and Matchmaker Exchange

(20) Robert Green: Clinical Outcomes Research in Sequencing

(20) Discussion

Module 4: Academic Medical Centers and Personalized/Precision Medicine

 

Moderator: __________________________________

2:40- 3:35

(15) Betsy Nabel: Direct-to Consumer Sequencing and the Academic Medical Center

(20) Jeff Golden: Precision Medicine, Regulation and Reimbursement

(20) Discussion

Afternoon Break

3:35-3:50

Module 5: Debate on the Benefits, Harms and Costs of Sequencing Health Individuals by Individual Speakers with the Entire Panel of Speakers and the Attendees

3:50-4:55

Five Minute Pro or Con by Each Speaker and Select Audience Members, Followed by Debate

 

“DNA Team” Captains: “There is Benefit” Jeff Golden/Jeff Flier

“RNA Team” Captains: “There is No Benefit” Sek Kathiresan/Betsy Nabel

Closing Remarks

4:55 – 5:00

(5) Robert Green

Wine and Cheese Reception for Speakers and Attendees

5:00-6:00


Registration

– See more at: http://personalizedmedicine.partners.org/education/personalized-medicine-conference/program.aspx#sthash.cnydkNG1.dpuf

Fee:

Register by July 15th to attend for $3,100!
After July 15th registration will be $3,500.

Pricing includes:

$2,900 TruGenome™ Predisposition Screen plus a conference registration fee

When:

November 17, 2015
General Session: 8am – 5pm
Reception: 5pm – 7pm

Where:

The Joseph B. Martin Conference Center
Harvard Medical School
77 Avenue Louis Pasteur
Boston, MA 02115

Confirmed Speakers

  • George Church, PhD,
    Harvard Medical School
  • Stacey Gabriel, PhD
    The Broad Institute
  • Jeff Golden, MD
    Brigham and Women’s Hospital
  • Robert Green, MD, MPH
    Brigham and Women’s Hospital
  • Sek Kathiresan, MD
    Massachusetts General Hospital
  • Zak Kohane, MD, PhD
    Harvard Medical School
  • Richard Maas, MD, PhD
    Brigham and Women’s Hospital
  • Daniel MacArthur, PhD
    Massachusetts General Hospital
  • Calum MacRae, MD
    Brigham and Women’s Hospital
  • Betsy Nabel, MD
    Brigham and Women’s Hospital
  • Heidi Rehm, PhD
    Laboratory of Molecular Medicine
  • Christine Seidman, MD
    Brigham and Women’s Hospital

SOURCE

From: Robert Green <rcgreen@genetics.med.harvard.edu>

Date: Tuesday, July 7, 2015 at 1:46 PM

Subject: Learn about genome sequencing by sequencing yourself!

Robert C. Green, MD, MPH

Director, G2P Research Program

Associate Director for Research, Partners Center for Personalized Genetic Medicine

Division of Genetics, Department of Medicine

Brigham and Women’s Hospital and Harvard Medical School

EC Alumnae Building, Suite 301, 41 Avenue Louis Pasteur, Boston, MA 02115                                    

(office) 617-264-5834, (fax) 617-264-3018, (cell) 617-966-3216

(email) rcgreen@genetics.med.harvard.edu 

(web) www.genomes2people.org

Dear Colleagues:

We are inviting you, as one of a small group of forward looking thought leaders, to attend an exciting educational and experiential event: the Boston “Understand your Genome” conference. This conference will take place the day before this year’s Partners Personalized Medicine Conference at Harvard Medical School and will have two components.

First, a panel of world-renowned speakers will discuss the current progress and promise of genomic medicine, and debate the controversial issues surrounding the sequencing of healthy individuals for prediction and prevention.

Second, the conference will provide you with the option to become one of the first people on the planet to have your whole genome sequenced at a CLIA facility where a report will be generated by a board certified molecular geneticist on 1,691 genes with well-established associations to 1,232 Mendelian conditions, and 11 genes associated with responses to 16 different medications.

This conference is a non-profit educational event that is sponsored by the Division of Genetics, in the Department of Medicine at Brigham and Women’s Hospital with co-sponsorship by Partners Personalized Medicine and the Laboratory for Molecular Medicine, the Precision Medicine Program at Brigham and Women’s Hospital, the Department of Pathology at Brigham and Women’s Hospital, the Analytic and Translational Genetics Unit at Massachusetts General Hospital, the Department of Pathology at Massachusetts General Hospital and the Broad Institute. Together, we have assembled a remarkable panel of speakers for the first component of the program.

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LIVE Plenary Session 2015 BioIT, April 21, 2015, 4:00 – 5:00PM – Cambridge HealthTech Institute’s 14th Annual Meeting BioIT World – Conference & Expo ’15, April 21 – 23, 2015 @Seaport World Trade Center, Boston, MA, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

LIVE Plenary Session 2015 BioIT, April 21, 2015, 4:00 – 5:00PM – Cambridge HealthTech Institute’s 14th Annual Meeting BioIT World – Conference & Expo ’15, April 21 – 23, 2015 @Seaport World Trade Center, Boston, MA

Dr. Aviva Lev-Ari will be in attendance on April 21, 22, 23

 

Leaders in Pharmaceutical Business Intelligence (LPBI) are Covering the Event in REALTIME using Social Media

http://pharmaceuticalintelligence.com

#biotech

#investment

@MassBio

@BostonBizJournl

@BioWorld

@BiotechNews

@bioitworld

Tuesday, April 21, 2015 * 4:00 – 5:00 pm

4:00 Event Chairperson’s Opening Remarks

Cindy Crowninshield, RDN, LDN, Senior Conference Director, Cambridge Healthtech Institute

IT and Pharmaceutical 3000 delegates, commitment to support the conversation.

EMC2

4:05 Plenary Session

Introduction

Sanjay Joshi, CTO – Life Sciences, Emerging Technologies Division, EMC

Ten Rules to win a Nobel Prize

  • Negative results vs Positive results
  • Randomized Clinical Trials — the era is OVER
  • Experimental Design: New approaches
  • The Case of Junk DNA: Size does not matter
  • Human Microbiome: Metabolic Reconstruction for Metagenomic Data and its Application to
  • Methylation vs. Mutation: Human Hypomethylation in the Human Germline Associates wiht selective Structural Mutability in the hUman Genome
  • Rare Variants Synthetic Genomic-Wide Association
  • PLOS – most downloaded apper: COrollary 6: “Why most published research findings are false”

4:15 The Vision for Data at the NIH

Philip Bourne

Philip E. Bourne, Ph.D., Associate Director for Data Science (ADDS), National Institutes of Health; Founding Editor in Chief, PLOS

Biomedical research and resultant health outcomes are increasingly defined by how we effectively use an ever increasing amount of digital data. This has become a focus at NIH as part of what we term the digital enterprise. That enterprise is based on community engagement, policies that make sense and a workable infrastructure all of which embraces both the public and private sector, the need to train the next generation of data scientists and is motivated by new research possibilities using data at different scales. Our progress and how this community can engage will be discussed. Biographical Profile

  • DATA and NIH:
  • Ten simple rules to write a Grant
  • Ten simple rules to get published – How to get a Nobel Prize?
  • Digital enterprise – an ecosystem – efficient system to capture outcomes from the multiple projects funded
  • The Second Machine Age by Erik Brynjolfsson @MIT
  • BOLD – DIgitization of Basic and Clinical Research and EMRs:
  1. 6Ds of exponational growth – context of HealthCare: Diception, Disruption, Demonitazation Dematerialization Democratization
  2. SAS Analytics – 3rd Sage Bionetworks Commens Congress: Democratization will follow The Story of Meredith
  3. How DREAM Challenge Recognition Can Help
  4. Embrace Disruptions @NIH
  5. Raise standards for preclinical cancer research – 47/53 “landmark” publications could not be replicated [Begley, Ellis Nature, 483, 2012]
  6. $1 Billion budget of NIH — Research can’t be reproduced/replicate
  7. Precision Medicine Initiative — emerged pn 1/30/2015 President Initiative, Speech.Announcement of 250 million dollars to start Precision Medicine
  8. Francis Colin: Precision Medicine can be bigger than the Human Genome: 1 million volunteers, numerous existing cohorts,  – share genomic data, lifestyle information, biological samples, all linked to their electronic health records
  9. OUTcome Sought after:
  • pharmacogenomics
  • matching conditions wiht therapies derived from the cohort data
  • tiny implentable chips for data collection in vivo.
  • altering drug doses based on data collected from cohort from invivo
  1. data Science: The Big Dadta 2K Program in Central to the Mission: NIIH Data Initiative
  2. Elements of the Digital Enterprise: Policies, COmmunities, Infrastructure: Research Cycle: Sustainability efficiency
  3. NIH – ENIGMA — 12 Centers of Excellence
  • MRI Images & GWAS – 30,000 people – 300 researcher around the World — Translation spectrum is covered
  • Collaboration: Dat acomes fro ENIGMA Consortium
  •  – accessibility to data
  •  – standards for SW developemnt
  • Genotype and Phynotype : Brain
  • Data Discovery Index Coordinstion COnsortium (DDICC)
  • Training awards
  • WOrkshops to inform future funding
  • softward indexing and discoverability — Gaming
  1. COMMUNITIES 2015 Activities: Math, CS, Statistics
  2. IDEAS lab with NSF
  3. Competition with international funders
  4. Softward carprntry, hackathons, PiDay
  5. work without borders: GA4GH, RDA, FORCE11
  6. SOcieties of the Modern Age, How to enable this age
  7. POLICIES
  • Genomics data sharing policies
  • Data sharing plans on all research award not only for >$500,000
  • Data Sharing plans Machine readable on all research awards
  • data sharing plan enformats
  1. Data Citations – Policies
  • PubMed – Machine readable citation allowed, CItation Network – Data Citiation
  • Paper are cited no  one read it — a Reference to  DB
  • work into NLM/NCBI workflow
  • Example formats for human readable data citation
  1. Data Discovery: Software and Data
  2. Standards – Announcing Development standards

ECOSYSTEM – Infrastructure The Commons

  1. Digital Objects (with UIDs)
  2. Search across all objects
  3. Computing platform – Public Cloud Platform, SUper computing, Other Platforms
  4. Business Model – no mapping of supply and demand of the dat as a Resource
  5. Driving Competition – Common Compliance – Data Rich Computing poor, Data poor Computing rich
  6. BROKER concept — aggregate across  users for most efficient use of NIH Funds – Grant run out — continue to measure use of data models if it sits in the common vs atrophy on PI desktop

INFRASTRUCTURE

  1. Training, Collborations, Efficienncy and sustainability
  2. Problem: Lack of Biomedical Data Science Specialists
  3. Career path workshops – NIH Workforcce Development Center
  4. Community -sources cataloging and indexing of training opportunities

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Illumina Says 228,000 Human Genomes Will Be Sequenced in 2014

Reporter: Aviva Lev-Ari, PhD, RN

 

 

 

 

 

 

Henry Ford kept lowering the price of cars, and more people kept buying them. The San Diego–based gene sequencing company Illumina has been doing something similar with the tools needed to interpret the human genetic code.

 

A record 228,000 human genomes will be completely sequenced this year by researchers around the globe, said Francis de Souza, president of Illumina, the maker of machines for DNA sequencing, during MIT Technology Review’s EmTech conference in Cambridge, Massachusetts.

De Souza said Illumina’s estimates suggest that the number will continue to double about every 12 months, reaching 1.6 million genomes by 2017, as the technology shifts from a phase of collapsing prices to expanding use in medicine.

 

The price of sequencing a single genome has dropped from the $3 billion spent by the original Human Genome Project 13 years ago to as little as $1,000, he said.

 

During an interview, De Souza questioned whether the price would keep falling at that rate. “It’s not clear you can get another order of magnitude out of this,” he said. Instead, he said, his company’s focus is now on making DNA studies more widespread in hospitals, police labs, and other industries.

 

“The bottleneck now is not the cost—it’s going from a sample to an answer,” De Souza said. “People are saying the price is not the issue.”

Illumina’s sequencing machines, which cost as much as $1 million each, are unmatched in their speed and accuracy. But the company’s growth has rested sometimes precariously on two curves. One has been the collapsing price of sequencing. The other is the soaring demand from genome scientists and funding agencies.

 

During the EmTech conference, De Souza said Illumina’s success was due to a “hard pivot” the company made in 2006, when it got into the DNA sequencing business by acquiring Solexa, a U.K. startup, and bet its fortunes “on a technology with no sales, that no one knew if it would work.”

 

That bet succeeded spectacularly, with Illumina machines now accounting for more than 90 percent of all DNA data produced. Last year, Illumina sold $1.4 billion worth of equipment, chemicals, and tests, about 25 percent more than the year before.

 

But De Souza says Illumina is now pivoting again. This time, its big bet is that DNA sequencing will become routine in medicine, not just in research labs. To make sure that happens, he said, the company is investing in simplifying its technology, winning FDA approval for more diagnostic tests doctors could order directly, developing ways to store DNA data in the cloud, and even launching a DNA app store. “The big pivot now is to the clinic. Getting there will change everything that we do,” he said.

 

For now, most DNA sequencing is still done by science labs. Of the 228,000 genomes Illumina estimates will be sequenced this year, more than 80 percent are part of scientific research projects, De Souza said. Those include a plan that the U.K.’s government is undertaking to decode 100,000 genomes over several years.

Source: www.technologyreview.com

See on Scoop.itCardiovascular Disease: PHARMACO-THERAPY

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Reporter: Prabodh Kandala, PhD

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Word Cloud By Danielle Smolyar

A typical cancer cell has thousands of mutations scattered throughout its genome and hundreds of mutated genes. However, only a handful of those genes, known as drivers, are responsible for cancerous traits such as uncontrolled growth. Cancer biologists have largely ignored the other mutations, believing they had little or no impact on cancer progression.

But a new study from MIT, Harvard University, the Broad Institute and Brigham and Women’s Hospital reveals, for the first time, that these so-called passenger mutations are not just along for the ride. When enough of them accumulate, they can slow or even halt tumor growth.

The findings, reported in this week’sProceedings of the National Academy of Sciences, suggest that cancer should be viewed as an evolutionary process whose course is determined by a delicate balance between driver-propelled growth and the gradual buildup of passenger mutations that are damaging to cancer, says Leonid Mirny, an associate professor of physics and health sciences and technology at MIT and senior author of the paper.

Furthermore, drugs that tip the balance in favor of the passenger mutations could offer a new way to treat cancer, the researchers say, beating it with its own weapon — mutations. Although the influence of a single passenger mutation is minuscule, “collectively they can have a profound effect,” Mirny says. “If a drug can make them a little bit more deleterious, it’s still a tiny effect for each passenger, but collectively this can build up.”

Lead author of the paper is Christopher McFarland, a graduate student at Harvard. Other authors are Kirill Korolev, a Pappalardo postdoctoral fellow at MIT, Gregory Kryukov, a senior computational biologist at the Broad Institute, and Shamil Sunyaev, an associate professor at Brigham and Women’s.

Power struggle

Cancer can take years or even decades to develop, as cells gradually accumulate the necessary driver mutations. Those mutations usually stimulate oncogenes such as Ras, which promotes cell growth, or turn off tumor-suppressing genes such as p53, which normally restrains growth.

Passenger mutations that arise randomly alongside drivers were believed to be fairly benign: In natural populations, selection weeds out deleterious mutations. However, Mirny and his colleagues suspected that the evolutionary process in cancer can proceed differently, allowing mutations with only a slightly harmful effect to accumulate.

To test this theory, the researchers created a computer model that simulates cancer growth as an evolutionary process during which a cell acquires random mutations. These simulations followed millions of cells: every cell division, mutation and cell death.

They found that during the long periods between acquisition of driver mutations, many passenger mutations arose. When one of the cancerous cells gains a new driver mutation, that cell and its progeny take over the entire population, bringing along all of the original cell’s baggage of passenger mutations. “Those mutations otherwise would never spread in the population,” Mirny says. “They essentially hitchhike on the driver.”

This process repeats five to 10 times during cancer development; each time, a new wave of damaging passengers is accumulated. If enough deleterious passengers are present, their cumulative effects can slow tumor growth, the simulations found. Tumors may become dormant, or even regress, but growth can start up again if new driver mutations are acquired. This matches the cancer growth patterns often seen in human patients.

“Cancer may not be a sequence of inevitable accumulation of driver events, but may be actually a delicate balance between drivers and passengers,” Mirny says. “Spontaneous remissions or remissions triggered by drugs may actually be mediated by the load of deleterious passenger mutations.”

When they analyzed passenger mutations found in genomic data taken from cancer patients, the researchers found the same pattern predicted by their model — accumulation of large quantities of slightly deleterious mutations.

Tipping the balance

In computer simulations, the researchers tested the possibility of treating tumors by boosting the impact of deleterious mutations. In their original simulation, each deleterious passenger mutation reduced the cell’s fitness by about 0.1 percent. When that was increased to 0.3 percent, tumors shrank under the load of their own mutations.

The same effect could be achieved in real tumors with drugs that interfere with proteins known as chaperones, Mirny suggests. After proteins are synthesized, they need to be folded into the correct shape, and chaperones help with that process. In cancerous cells, chaperones help proteins fold into the correct shape even when they are mutated, helping to suppress the effects of deleterious mutations.

Several potential drugs that inhibit chaperone proteins are now in clinical trials to treat cancer, although researchers had believed that they acted by suppressing the effects of driver mutations, not by enhancing the effects of passengers.

In current studies, the researchers are comparing cancer cell lines that have identical driver mutations but a different load of passenger mutations, to see which grow faster. They are also injecting the cancer cell lines into mice to see which are likeliest to metastasize.

Ref:

Massachusetts Institute of Technology (2013, February 4). Some cancer mutations slow tumor growth. ScienceDaily. Retrieved February 4, 2013, from http://www.sciencedaily.com­/releases/2013/02/130204154011.htm

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