Our Genomes, Our Selves?
The initial draft sequence of the human genome, published in 2001, promised to usher the world towards personalized medicine, in which a patient’s genome is used to diagnose, treat, and prevent illness. Almost twenty years later, many clinically actionable mutations have been identified and are incorporated into treatment, and medical genomics offers exciting opportunities for data-driven discoveries about the genomic underpinnings of health. As increasingly large genomic datasets merged with medical records become available to researchers and the public turns to direct-to-consumer companies for genomic analysis, challenging humanistic issues surrounding privacy, preexisting conditions, ancestry, and kinship abound. As a human population geneticist, I study the evolutionary forces that produce and maintain genetic variation in our species. I’ll describe a series of fundamental challenges for interpreting results from direct-to-consumer genetic testing and for making personalized medicine a reality for all.
Learning Materials
By and featuring Dr. Ramachandran
- Publication: Support from the relationship of genetic and geographic distance in human populations for a serial founder effect originating in Africa, 2005
- Publication: Localization of adaptive variants in human genomes using averaged one-dependence estimation, 2018
- Publication: Missing compared to what? Revisiting heritability, genes and culture, 2018
- Interview: The Future Depends on Young Scientists – The Atlantic, 2012
- Article: Machine learning spots natural selection at work in human genome, 2018
- Podcast appearance: Decreasing genetic diversity with distance from Africa – The Insight, Via Podcast Addict, 2020
Related Readings
- Book: The Social Life of DNA: Race, Reparations, and Reconciliation After the Genome, 2016
- Book: Fatal Invention: How Science, Politics, and Big Business Re-create Race in the Twenty-first Century, 2012
- Book: Superior: The Return of Race Science, 2019
- Book: She Has Her Mother’s Laugh: The Powers, Perversions, and Potential of Heredity, 2018
Learn more about the Race and Technology Research Lecture Series >
Speaker Details
Sohini Ramachandran has been a faculty member at Brown University since 2010, and is currently Director of Brown University’s Data Science Initiative and Center for Computational Molecular Biology. Research in the Ramachandran lab addresses problems in population genetics and evolutionary theory, generally using humans as a study system. Sohini’s work uses mathematical modeling, applied statistical methods, and computer simulations to make inferences from genetic data. Her lab answer questions like: what loci are under strong adaptive selection in the human genome? are there genetic pathways we can identify that underlie common diseases such as diabetes? does genetic variation account for some ethnic disparities in disease incidence and outcome? what features of human demographic history can we infer from genetic data alone? In additional to being funded by the National Institutes of Health, Sohini has been a Sloan Research Fellow, Pew Scholar in the Biomedical Sciences, and an NSF CAREER awardee.
- Date:
- Speakers:
- Dr. Sohini Ramachandran
- Affiliation:
- Director of Brown University's Data Science Initiative and Center for Computational Molecular Biology
Series: Race and Technology: A Research Lecture Series
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Beyond the Technology: The Need for Identity-Inclusive Computing Education
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Intersectional Tech: Black Praxis in Digital Gaming
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Our Genomes, Our Selves?
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The New Jim Code: Reimagining the Default Settings of Technology & Society
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Computing Technology as Racial Infrastructure: A History of the Present & Blueprint for Black Future(s)
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The Vanishing Indian Speaks Back: Race, Genomics, and Indigenous Rights
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Racist Tropes and Labor Discipline: How Tech Inherits and Reproduces Global Imaginaries of Race and Work
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