NIH to Hold Conference on Family History

People who have family members with certain diseases are more likely to develop those diseases themselves. Indeed, many common disorders, including cancer, diabetes, heart disease and stroke, have genetic, environmental, behavioral and lifestyle causes that are shared between family members and together contribute to an individual’s risk for developing disease.

A family health history is a written or graphic record of these factors and includes information on diseases and health conditions of biological relatives, the age at diagnosis, and the age and cause of death of deceased family members. Family health history information collected from patients has long been used by healthcare providers in the U.S. as a risk assessment tool, and has gained renewed attention with efforts in personalized medicine. Americans recognize the importance of family history to health. A recent survey found an overwhelming 96% of respondents believe their family history is important for their own health; nevertheless, only 30% have actively collected health information from their relatives to develop a family history [1].

Despite the widespread and longstanding use of family health history, important questions regarding the effectiveness of family history information for disease prediction and improvement of health outcomes remain.

Francis Collins Nominated to Head NIH

Last week, President Barack Obama nominated physician and geneticist Francis Collins as the next Director of the National Institutes of Health (NIH) [1]. From 1993 — 2008, Dr. Collins was the first Director of the NIH’s National Human Genome Research Institute (NHGRI). He led the U.S. government’s Human Genome Project, which decoded the DNA sequence of 20,000 — 25,000 genes.

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In the past, Collins’ research laboratory at the University of Michigan has identified a number of important genes, including those responsible for neurofibromatosis, cystic fibrosis, Huntington’s disease and genes for adult onset (type 2) diabetes. More recently, Collins has been a proponent of personalized medicine or genomic medicine, which leverages specific genetic knowledge for the delivery of effective healthcare. Medscape interviewed him about genomic research and personalized medicine two years ago, where he said that incorporating individualized medicine into the mainstream will necessitate a change in healthcare economics. As NIH Director he will undoubtedly have a voice in the ongoing healthcare reform debate in Washington.

In his announcement on Wednesday, President Obama said [1]:

The National Institutes of Health stands as a model when it comes to science and research. My administration is committed to promoting scientific integrity and pioneering scientific research and I am confident that Dr. Francis Collins will lead the NIH to achieve these goals. Dr. Collins is one of the top scientists in the world, and his groundbreaking work has changed the very ways we consider our health and examine disease. I look forward to working with him in the months and years ahead.

Sharing Genes on the Social Web: PatientsLikeMe ALS Genetics Search Engine

This article was written by Hope Leman.

This is the kind of story that gets me out of bed before I go to work in a few hours at our small medical library and to try to get the news out of what should be a fascinating development in search, Health 2.0, Science 2.0 and public discussion of patient empowerment and in neurologic science generally. I have been sent through my connections at AltSearchEngines and Next Generation Science a link to the Marketwire press release “PatientsLikeMe Launches Genetics Search Engine for ALS Patients“.

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I spent many hours in the amyotrophic lateral sclerosis community of Patients Like Me in 2007 — 2008 and still visit it occasionally. It is a remarkable instance of a close-knit group of people united by the personal tragedy of either having Lou Gehrig’s Disease (ALS) or caring for and/or about someone with it. The founders of Patients Like Me (PLM), Jamie and Ben Heywood, have since created similar online patient communities for Parkinson’s Disease, Multiple Sclerosis and so on.

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I briefly met Ben Heywood at a recent Health 2.0 conference. Both he and Jamie are frequent speakers at Health 2.0 and Web 2.0-related gatherings and have been the subject of books and documentaries. The documentary So Much So Fast shows the courageous struggle their brother Stephen made against the ravages of ALS. The solidarity and love his family showed in that struggle is one of the most moving films ever made and should be viewed by literally anyone in the health sciences, encompassing as it does the minutiae of confronting ever growing disability and the quest to obtain accurate medical information in the Internet Age. The Heywood brothers have accomplished remarkable things across a variety of fields, notably in prodding the research establish to fast track research in ALS and to engage in far more transparent practices. They and men like Augie Nieto are the kind of people that leave one feeling that individuals can make a difference even in the face of such frightening specters as a diagnosis of ALS.

But I do have my qualms and concerns about some of the PLM initiatives. Even when papers about it appear in the standard medical literature in PubMed, the authors of the papers are usually affiliated in some way with PLM. It would be nice if there were at least a few by neurologists who have no relationship at all to PLM that reported on advances made as a result of the data acquired from the self-reports that PLM members upload to PLM databases.

The search engine is simply called the Genetics Search Engine, although it covers only ALS and thus is likely to create some branding confusion.

The PLM blog post announcing the launch of the new search engine states: “Today, we’re announcing the launch of our Genetics Search Engine for people with ALS. Imagine finding other patients just like you, down to the genetic level. Patients in our ALS community can now do that. (For patients who don’t see their genetic mutation right now, that’s alright. They can be the first with that genetic mutation to join our community and share information about the disease.) What does sharing genetics mean for research? By capturing data on familial ALS patients’ known genetics, such as the A4V or D90A mutations in superoxide dismutase 1 (SOD1) and the P56S mutation in vesicle-associated membrane protein-associated protein B (VAPB), we can learn more about the cause and effects of every kind of ALS and better our chances of advancing research and finding new treatments. Our goal in launching the Genetics Search Engine (and other upgrades like it) is to help patients find others just like them and enhance our understanding of the phenotype of each genetic mutation (i.e., different causes of ALS have faster or slower disease progression).”

This brings up some interesting issues:

  • As noted, there is the matter of branding. The wording “… other upgrades like it” suggests that this is the first of what may become a series of search engines for genetic mutations. That is an intriguing development and illustrates the genuine knack for marketing and technological innovation that has always made PLM a leader in the patient social networking space even as other such communities (such as Trusera) with much less drive to actually contribute to the medical science related to the travails of members have struggled to attract and retain users.

  • The Genetics Search Engine does not appear particularly innovative or interesting vis-a-vis search technology. It seems, indeed, to be fairly unspectacular and rudimentary in that respect. But it is certainly more handsome and engaging than ALSOD: the Amyotrophic Lateral Sclerosis Online Database, which covers only SOD1 mutations and is designed for medical professionals, not patients and the general public.

  • The wording “Imagine finding other patients just like you, down to the genetic level” is quite fascinating. ALS is a rare disorder and now patients can find in that small group an even smaller group and, now, so can researchers. This has all kinds of implications for organizing patients into lobbying groups for research into that particular mutation. That might actually advance research, given that the intense study of one gene or one mutation could benefit the entire ALS population. Alternatively, it could hinder advancement if a vocal group successfully wins earmarks for what turn out to be blind alleys. In any case, it is a brave new world in which people can form political, emotional and social bonds on the basis of genetic mutations. This is a good thing for public education in medical matters and public discussion of important scientific and bioethical matters.

  • The development of the search engine and what becomes of the data is something that all those intrigued by the era of personalized medicine will watch with intense interest. Some argue that such data will prove of limited utility for decades and that it is cruel and deceptive to suggest to patients that hours spent mastering the arcana of genetics will improve their short-term prospects and day-to-day quality of life. Indeed, part of the marketing muddle is that the press release does not make the distinction clear between familial ALS and the sporadic type, the former being much rarer. Jamie Heywood is quoted as saying:

    Beyond the research implications of what this means today, if you’re a patient with familial ALS, you can now use this information to make better decisions about your healthcare and learn from the experiences of others like you.

    But that group is a small subset of the greater ALS patient population as a whole and the press release makes it sound like the Genetics Search Engine is a potential boon for all ALS patients. It could be, but that isn’t made clear.

But one should not complain too much given the obvious solace and genuine enjoyment members find in PLM and the impressive amount of useful information exchanged there on matters of nutrition, respiratory care, assistive technology and such, necessary in the care of patients with this illness. The fact that PLM has 3,400 members worldwide alone is impressive given that there only an estimated 30,000 people with the disease in the U.S. in any given year.

It will be interesting to see what public comment discussion is engendered by this development vis-a-vis patient education and genomics, and the ethical and health information management issues raised by patients taking an ever more intense interest in the building blocks of their very beings and expecting frontline clinicians to treat them by utilizing such data.

This not just an ALS story. This is a new era in medicine.

About the author: Hope Leman writes about Health 2.0 and the e-patient movement at Significant Science. She is also a writer for AltSearchEngines, which covers hundreds of alternative / niche search engines. Hope is a research information technologist for a health network in Oregon and is also Web administrator of the grants and scholarship listing service ScanGrants.

Gene Expression Can Predict the Survival of Lymphoma Patients

ResearchBlogging.orgA study published last week in the New England Journal of Medicine identified sets of genes in diffuse large B-cell lymphoma that influence the effectiveness of chemotherapy [1]. Researchers found that the tumor microenvironment, consisting of non-cancerous immune and structural cells along with tumor cells, has a significant influence on a patient’s response to treatment.

The Cancer Genome Atlas Reports Molecular Characterization of Brain Tumors

A large-scale, multi-dimensional analysis of the genomic characteristics of glioblastoma, the most common primary brain tumor in adults, provides new insights into the roles of several genes and defines core biological pathways altered in tumor development [1]. The new Cancer Genome Atlas study, published in the September 4th advanced online edition of the journal Nature, also reveals a link between the DNA repair enzyme MGMT and a hypermutation phenotype, and has potential implications for the diagnosis and treatment of glioblastoma.

Glioblastoma is the most common and aggressive type of brain cancer. Patients newly diagnosed with glioblastoma have a median survival of approximately one year with generally poor response to therapy [2]. Gene expression profiling studies suggest multiple subtypes of glioblastoma that, when fully defined, may allow for more personalized therapeutic approaches [3-4].