Monday, September 21, 2015

Rapporteur Notes (9/17): Social Uses of DNA

The goal of this class was to discuss the broader issues related to how DNA plays out in not only the scientific setting, but also the larger social arena and the accompanying cultural ramifications. We began by analyzing genetic ancestry testing by looking in depth at four companies offering these types of tests to a consumer market. We then moved on to the topic of predictive genomics and personalized medicine and what this told us about the role of race in the new genomics era.

We began our discussion of genetic ancestry testing with a basic overview of the two main types of tests, mtDNA and y chromosome. Mitochondrial DNA (mtDNA) is passed down to an individual from their mother and tests of this portion of the DNA therefore give us information about the maternal lineage. Y chromosome testing, on the other hand, can only be done in males (as they are the only ones with Y chromosomes) and will show only the paternal lineage. In order to gain better incite into this culture of genetic ancestry testing, we analyzed four of the major companies offering these products in an attempt to answer the following questions:
            What are they selling?
            What do they claim to tell you about your genetic ancestry/health?
            How does the test actually function?
            What is the test actually giving consumers?
            What do they do with your data?
            Would you recommend actually doing the test? For whom? Why or why not?
The analysis of National Geographic genetic ancestry testing centered mainly on the company’s given reason for involvement with testing. The company emphasized that the purpose of the project was to establish the migratory patterns of early humans, framing participation as being both a contribution to science and a chance to learn more about your own history. It states that it stands apart from its competitors as a result of this scientific basis and emphasizes a social network of interacting with people who you might not be related to in any close genetic way, reflecting the belief that the project is more about the collective than an individual’s personal genealogy. This collective interest means that an individual cannot receive information about his or her own more recent genealogy by using this test. Further, while the DNA is not tied to any identifying information, the information is available to any previously approved researcher working on the tracking project. The whole scientific guise of using personal information was a bit unsettling when it came to deciding whether or not to recommend this to others. Had they come straight out with the fact that the information was needed for research our willingness to recommend may have been higher.
Family Tree DNA was notable for the variety of options it provided as well as a highly questionable clause in their privacy statement. The company offers different levels of thoroughness in their testing at different price points, meaning that the consumer must pay into how much information they’d like to get. The company also advertised that they had the largest database of samples and, similar to National Geographic, encouraged networking and the connection of genetic results with socially recognized kinship groups through their Family Surname Project. Our primary reason for not recommending the company, along with the high cost, was that the privacy policy seemed to make very personal information very possibly available to anyone who wanted to access it. The policy has a beneficiary clause that states that, should the test taker pass away without a named beneficiary, Family Tree DNA retains any records and DNA related to that individual. The company also utilizes a release form that must be signed in order for an individual to connect with others that match their genealogy in some way, thereby withholding what many likely see as a main purpose of the website if that person does not release their data to the company.
AncestryDNA by far went the most in depth into the process they use to run and analyze the data their clients provide. The company uses autosomal testing and a reference panel of 3000 people who have been defined as representative of their race based on the fact that they have lived in one of 26 different regions for a very long time. They then test an individual’s sample for 700,000 different markers and compare these to the reference panel. Each marker, they explain, has a different frequency in each population and they make an estimate for a sample that is their “best guess of the percentage for each population.” While they seem trustworthy for going in depth with their methodology, we found this information gave us more ways to discredit the validity of the results. The confidence intervals they provide with each result have a possibility of including 0%, for example, meaning that the individual might not have any of that ethnicity at all, despite being told that they may. The 26 regions drawn for the reference panel also seemed very arbitrary and drawn along political boundaries and the methodology of family living history as a determinant of how representative an individual might be was concerning.
Finally, the company 23 and Me gave insight into the possible repercussions of attempting to make health claims based on genetic testing. The company came under FDA scrutiny for including claims about disease risk in the results of an individual’s genetic ancestry testing. These claims are only outlawed in the United States, however, so an individual accessing the services from another country could still receive this information, and clients that had previously been given this information will still have access to it. The health claims made seemed to localize disease within the person to make them responsible for their own illness, regardless of any environmental factors that may have been involved.
As a wrap up to this section of our discussion, we looked at the implications of these genetic ancestry tests. These tests play a major role in reshaping personal identities and communities. Many African Americans, for example, cannot trace their history through record because of slavery and the violence it inflicted on families. For this community, genetic ancestry testing is a way to recover history that has been lost. Native Americans may use DNA to determine tribal membership. Along with this membership comes rights, issues of governance, cultural and political authority, and healthcare from the government. Membership in this community is much more than being able to check the box on the census form. We also see some of the dangers of commercialization – with companies that are so non-transparent, what are their goals and motives?

In order to deal with the meaning of race in an era of predictive genomics and personalized medicine, we first noted that race was at least previously accepted as a social construction. Race itself still has very real ramifications, but these are the result of sociocultural influences rather than biological fact. We also noted that there exists more genetic variation within racial groups than between the groups themselves.
            The meaning of race in the genomics era seems to be a good intention gone wrong. The politics of inclusion we see today want to recognize difference in order to be inclusive of that difference by broadening research subjects. While we aren’t using race as a means of justifying slavery and making people feel inferior, it is problematic that race has become a way of pinpointing people for testing and treatment. Certain aspects of genetics are good, we said, such as the discovery of a gene associated with sickle cell disease. The problem arises when sickle cell becomes a ‘black disease’ in looking for cures and treatments. In becoming a racialized disease, we see a shift in mentality that says it’s not just a person that has a gene that makes them sick, but instead it is the entire racial population that deals with this. We enter a reductionist viewpoint in which risky behavior, lack of resources, and unhealthy lifestyle choices are replaced solely by race as the main risk factor for disease. In order to try and understand this shift toward the detrimental use of race in genetics we looked back to the Human Genome Project, whose initial message was that all of our DNA is mostly the same. Research, however, has shifted to detail how we differ from one another. We know we’re similar to bananas and fruit flies but we don’t place much emphasis on research here. Why do we emphasize certain kinships and not others?
            While we had noted that the outputs of research were problematic, we took a step back and realized that indeed the inputs to research brought their own baggage. First, there are ways in which race is being used to quantify differences genetically. Second, in recruiting, storing, recording, and sorting DNA, scientists use socialized and historical categories to label and name the DNA samples. Scientists build off of United States Census data, where everyone is already well organized and highly categorized. Sorting data through these given categories, however, presents us with somewhat of a loop. We come to conclusions that fall into the categories we have already set.

We discussed how the world of science itself makes it difficult to break out of this cycle of racialized research. In the world of science, anything that is not biological or genetic is not considered valid. While some things are actually genetically linked, others are entirely socially constructed. As a result of the value place on genetics however, scientists have no interest in looking into the possible social behaviors that may influence disease.

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