Using genomics to predict disease risk

Genetic datasets do not reflect the diversity of the world’s population. Alicia Martin is working to correct this through data-driven social justice.

By using genetic data on multiple traits from people of non-European ancestry, scientists have improved the accuracy of polygenic scores in predicting disease risk for all. 

A study analyzing genetic data from nearly 400,000 people shows how rare variants can point to core biological mechanisms underlying common disease

The test marks one of the first clinical uses of polygenic scores and stems from Broad research that began four years ago.

The largest psychiatric genetics study ever done in Africa is increasing the diversity of data on mental illness, training a new generation of geneticists, and chipping away at the genetic underpinnings of schizophrenia and bipolar disorder.