| Literature DB >> 21472046 |
Sarah E Ali-Khan, Abdallah S Daar.
Abstract
Admixture mapping is a whole genome association strategy that takes advantage of population history-or genetic ancestry-to map genes for complex diseases. However, because it uses racial/ethnic groupings to examine differential disease risk, admixture mapping raises ethical and social concerns. While there has been much theoretical commentary regarding the ethical and social implications of population-based genetic research, empirical data from stakeholders most closely involved with these studies is limited. One of the first admixture mapping studies carried out was a scan for Multiple Sclerosis (MS) risk factors in an African-American population. Applying qualitative research methods, we used this example to explore developing views, experiences and perceptions of the ethical and social implications of admixture mapping and other population-based research-their value, risks and benefits, and the future prospects of the field. Additionally, we sought to understand how social and ethical risks might be mitigated, and the benefits of this research optimized. We draw on in-depth, one-on-one interviews with leading population geneticists, genome scientists, bioethicists, and African-Americans with MS. Here we present our findings from this unique group of key informants and stakeholders.Entities:
Keywords: Admixture mapping; African-Americans; Ancestry; Multiple sclerosis; Population-based genetic research; Race
Year: 2010 PMID: 21472046 PMCID: PMC3051047 DOI: 10.1007/s11568-010-9145-y
Source DB: PubMed Journal: Hugo J ISSN: 1877-6558
What is admixture mapping?
| Genetic admixture occurs when two or more populations that have been separated over long periods of history—often by geography—come into contact and intermix. For example, the genomes of many African-Americans, as members of one recently admixed population in the Americas, are a mosaic of variable proportions of what can be classified as European and West African ancestry (Reich et al. |
The African-American multiple sclerosis admixture mapping study
MS was an ideal disease in which to test the proof of concept for admixture mapping (Reich et al. To actualize the MS project (Reich et al. |
Recommendations from our analysis for moving beyond frameworks based on race, in population-based genetic studies
| Study framework and design |
| Consider study designs and groupings that do not rely on race/ethnicity; for example, genotype, disease subtype corrected for genetic ancestry etc., as appropriate to the research question. |
| Do not use race/ethnicity as an explanation for biological outcomes; endeavour to identify the ultimate determinants—genetic, environmental, behavioural etc—of the complex disease or trait in question. |
| Design inter-disciplinary studies to investigate the full-spectrum of determinants of complex phenotype— environmental, behavioural and genetic- and the interactions among them. |
| Where applicable, extend the breadth and depth of human genomic variation studies, encompassing systematic sampling across socio-political boundaries, within and across socially-identified groups. |
| Research interpretation, communication and follow-up |
| Avoid objectifying race/ethnicity in interpreting admixture mapping and other population-based studies. For example, in reporting admixture mapping make it clear that the detected risk alleles occur across ‘racial’/ethnic boundaries; and emphasize that population history, rather than genetic differences between groups, is being used to localize variants more efficiently. |
| Critically examine assumptions about race and ethnicity, including both overt and implicit messages, when designing, interpreting and communicating studies. |
| Take into account historical and socio-cultural perspectives on human difference/race/ethnicity. |
| Provide a population history and bio-geographic ancestry-based framework for population-based genetic studies. |
| Conduct follow-up studies in multiple populations to validate results from population-specific investigations, and to fully understand how the variant(s) influence the complex trait in question. |
| Education, training and outreach |
| Include on research teams individuals with expertise in (1) historical and socio-cultural perspectives on human difference/race/ethnicity; (2) effective engagement of non-scientist audiences. |
| Promote the social awareness of geneticists and the media, and greater engagement between these groups. |
| Encourage the genetic literacy of research communities and the public—with relevant stakeholders including social scientists, bioethicists, the media, and the public themselves involved, in addition to geneticists. |
| Create opportunities for open public discourse about the nature of human genomic variation, social identity and health disparities. |