NIH UNITE program aims to end structural racism in biomedical research
Even though today is April Fool’s Day, I am seriously excited about highlighting progress in areas that influence the genomics research enterprise — from efforts to end structural racism in biomedical research, to science education and outreach, to data science policy and strategy. But before you get to those stories, I have a couple of important reminders.
As mentioned in last month’s issue of The Genomics Landscape, Dan Kastner M.D., Ph.D., has announced that he plans to step down as NHGRI Scientific Director to focus on his research and clinical activities. NHGRI is now accepting applications for this critically important leadership position. Review of applications will begin May 15; however, applications will be accepted until the position is filled.
Also mentioned in last month’s issue of The Genomics Landscape, the NHGRI Genomic Data Science Working Group of the National Advisory Council for Human Genome Research will host a virtual Machine Learning in Genomics: Tools, Resources, Clinical Applications, and Ethics Workshop on April 13-14. Registration is still open on the workshop webpage on genome.gov.
All the best,
In this issue
- NIH UNITE program aims to end structural racism in biomedical research
- DNA Day goes global
- NHGRI publishes educational resource on genomic data science
- NHGRI researchers and collaborators issue polygenic risk score reporting guidelines
- NHGRI issues guidance for sharing quality metadata and phenotypic data from research studies
- NHGRI to formulate more robust trans-institute data science strategy
- Dan Kastner receives AMA Government Service Award
Provide a conceptual research framing that consistently examines the role of both genomic and non-genomic contributors to health and disease — routinely considering the importance of social and environmental factors that influence human health (and the interactions among those components and genomics) will be important for the comprehensive understanding of most human diseases.
There’s strong evidence that human health is affected by both genomic and non-genomic factors — trying to understand what these factors are and how they interact can be fascinating. This holds for both ‘simple’ genomic conditions as well as multifactorial conditions (though I don’t think there’s always such a clear dividing line between the two!). For me, the more I study genomics, the more I appreciate how each supposed answer leads to more questions. For example, people in a family may have the same genetic condition, but each person may be affected differently, and trying to dissect these differences is important and challenging. One thing I enjoy about this area is that studying rare genomic conditions can provide insights into more complex disease processes, where the causes are often a truly complicated mix of different, interacting factors. The current era is particularly exciting because we have many more tools (and datasets) for our investigations, including related to common and difficult health problems.
Benjamin Solomon, M.D. (NHGRI Clinical Director)
Seminar Series: Bold Predictions for Human Genomics by 2030
Session 3: April 12, 2021, 3 p.m. to 4:30 p.m.
Prediction: The general features of the epigenetic landscape and transcriptional output will be routinely incorporated into predictive models of the impact of genotype on phenotype.
Speakers:
- Tom Gingeras, Ph.D., Cold Spring Harbor Laboratory
- Tuuli Lappalainen, Ph.D., New York Genome Center
Moderator:
- Paul Liu, M.D., Ph.D., NHGRI
About The Genomics Landscape
A monthly update from the NHGRI Director on activities and accomplishments from the institute and the field of genomics.
Last updated: April 1, 2021