Getting Serious About Personal Genomics’ Risks

After several months of public drama, the University of California, Berkeley’s ambitious program to introduce its incoming freshmen to personalized medicine reached its denouement in late August.

As part of its program, Berkeley offered students the option to participate in genetic testing for three common genetic variants relevant to the body’s ability to metabolize milk products, alcohol and folic acid. 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. The significant logistical burden and cost of complying with the CDPH’s ruling forced Berkeley to modify its program. While some aspects of the program will go forward, no student will be able to access any personalized genetic information.

(CDPH’s ruling was unexpected. Berkeley’s Dean of Biological Sciences, Mark Schlissel, noted that the department’s ruling “relies on an interpretation of legal statutes that is entirely different from the interpretation of the same statutes by UC’s top lawyers.” The ruling itself has potentially significant implications for genetic research across the country, although that topic is the subject for a future post.)

The focus of this post is the rapid mobilization of critics of the Berkeley program and the power of public controversy to spur regulatory action and, ultimately, to force the University to adopt a fundamentally different approach to personal genomics education than originally intended. This in spite of a detailed internal review process that consumed substantial resources and required Berkeley’s Institutional Review Board (IRB) to approve the project. Examining how and why this happened is instructive for evaluating the future prospects of personal genomics research and innovation.


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The Havasupai Indians and the Challenge of Informed Consent for Genomic Research

Pulitzer Prize-winning journalist Amy Harmon, of The New York Times, reports that a long-running dispute between Arizona State University (ASU) and the Havasupai Indians over the allegedly improper research use of DNA from members of the tribe has been settled.

The research began two decades ago, ostensibly to search for a genetic variant that might be contributing to the increasing rate of diabetes in the tribe. The diabetes research proved unfruitful, but the blood donated by the Havasupai tribe members, and the DNA extracted from it, led to a number of follow-on research projects, grants and publications. It was that research – including searching tribe members’ DNA for variants linked to schizophrenia, and inferring the likely ancestral origins of the tribe’s founders – that led to lawsuits, millions in legal fees and, ultimately, the settlement.

Implications of the Havasupai Settlement. Harmon’s article provides a concise background to the dispute, and briefly describes the $700,000 settlement between ASU and the tribe to “remedy the wrong that was done.” Harmon and unnamed “legal experts” suggest that the settlement is significant because “it implied that the rights of research subjects can be violated when they are not fully informed about how their DNA might be used.”

In some respects, this is a trivial conclusion. One of the most important and well-known elements of the Common Rule – the regulatory regime that governs federally-funded human subjects research – is that researchers must seek, and participants provide, informed consent. Participants that are uninformed cannot provide valid consent and, thus, their rights as subjects are violated. In that respect, at least, the Havasupai case tells us nothing new. (I have not seen the settlement, but I doubt that it will (a) be made public or (b) contain an express admission of guilt from ASU, both factors that will limit its relevance to future similar scenarios.)


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The Unexpected Impact of Genetics on the Business World

Recent advances in genetic science are remarkable. In 2003 the first full human genome was sequenced after 13 years of work at a cost of over $3 billion. Today, the cost to sequence any individual’s entire genome is approaching $1,000. Genetic tests for specific genes linked to cancer and other diseases exist today and many more are being developed. We hear of a new era of “personalized medicine” in which drugs and therapies will be prescribed based on the individual patient’s specific genes.

All of this may seem to have little direct relevance to companies outside of biotechnology. However, the development of genetic knowledge and technology already has spawned new laws, regulations and patent uncertainties that impact almost all businesses in some way.

Privacy and Nondiscrimination. The federal Genetic Information Nondiscrimination Act of 2008 (GINA) represents the most comprehensive effort to date to regulate the use of genetic information. GINA initially only prohibited health insurers and group health plans from using genetic information to deny coverage or set payment rates. Another section, which just became effective in November 2009, affects all private and public employers with more than 15 employees.


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Filed under General Interest, Genomic Policymaking, Genomics & Society, Myriad Gene Patent Litigation, Patents & IP

The Texas Newborn Bloodspot Saga has Reached a Sad – and Preventable – Conclusion

Contributed by Ann Waldo, Senior Counsel at Genetic Alliance.

In late February, the state of Texas incinerated 5.3 million newborn bloodspots.

The background – the Genomics Law Report has had several posts (here and here) about the ongoing situation involving 5.3 million newborn bloodspots in a state biorepository in Texas. Often referred to as “residual” bloodspots, these are the tiny dried bloodspots left over after states conduct mandatory screening for specified diseases. State practices regarding retention of the residual bloodspots vary widely, with some destroying them promptly and others storing them indefinitely. Where post-screening use of the bloodspots occurs, the most common use is for quality assurance and quality control of the screening tests. Some states also permit the release of small sets of bloodspots for research.

Any such research must be done in compliance with the federal Common Rule applicable to clinical research and HIPAA, the federal medical privacy law. To simplify these laws’ complex requirements – what researchers must do depends on whether the samples or information will be made available in an identifiable or de-identified form. If a researcher receives identifiable information, then informed consents, privacy authorizations, and Institutional Review Board (IRB) reviews are mandatory. If the researcher receives only de-identified samples or information, no parental consent or privacy authorizations are required, although some states, including Texas, still insist on IRB review.


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Newborn Blood Spot Litigation: 70 Days to Destroy 5+ Million Samples

Burned holeSometime in the next few months, Texas will destroy more than 5 million blood samples collected from newborn babies across the state over the past seven years. The lawsuit that led to this result—agreed to as part of a settlement reached between the state and a civil rights group representing a group of parents—illustrates a number of interesting points about the law and litigation of genetics issues.

As we discussed in A Closer Look at Biobanking of Newborn Blood Spots, states collect blood samples from most infants born in the United States each year, with the goal of detecting and treating a variety of potentially serious conditions. The Texas Department of State Health Services (DSHS) has been collecting newborn blood samples from babies born within the state since the 1960s. Texas currently tests for conditions including cystic fibrosis, endocrine disorders, fatty acid disorders, and others—28 disorders in all (pdf). At least some of the samples are apparently subjected to genetic testing for hemoglobinopathy, phenylketonuria, and galactosemia.


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Genomic Research Goes DTC

The first generation of Direct-to-Consumer genetic testing and sequencing was populated by companies such as 23andMe, Navigenics and deCODEme that offered genotyping for a limited set of conditions, focusing primarily on genealogy and monogenic traits. 

As the cost of generating genetic data continued to decline new companies brought new commercial offerings to the table, including whole-genome sequencing from Knome and, more recently, Illumina, and an increasing focus on the genetics underlying complex diseases and traits.

Recruiting Customers as Research Subjects

Even more recently a new dimension to the field of DTC genetics has emerged: Direct-to-Consumer research.  In May of 2008 23andMe’s founders laid out their vision for customer-driven research23andWe, as the company’s research arm is known, launched its first significant project in March of this year when, aided by financial support from Sergey Brin, the co-founder of Google and the husband of 23andMe co-founder Anne Wojcicki, 23andMe announced a large-scale study aimed at the genetic bases of Parkinson’s disease.  The study aims to recruit 10,000 patients with Parkinson’s disease to enroll.  Participants in the study will receive 23andMe’s services for $25, a steep discount from the going rate of $399.

researchAnd on Tuesday, 23andMe announced what it is terming the “Research Revolution, a community outreach program that empowers people to drive the direction of genetic research.”  In some ways this Research Revolution is genomic research meets American Idol, with the general public invited to vote by participating in the project and choosing from a list of 10 diseases to support.  (Participation costs $99 for a stripped-down version of 23andMe’s service that does not include several key features, including ancestry information, carrier testing and access to the underlying raw genetic data).


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