A large-scale study cross-referencing genomic data from multiple sources with primary care health records has identified genetic overlaps in 72 chronic diseases, opening the way for a more holistic approach to researching, treating and preventing multimorbidity.

A U.K. study has uncovered distinctive genetic drivers of type 2 diabetes in South Asians that lead to faster development of complications, the need for earlier insulin replacement therapy and a weaker response to some widely prescribed drugs. That points to the need to refine care pathways. But in addition, the research provides a potent illustration of how the under-representation in genomics databases of people who are not of white European origin can skew results and be a source of discrimination.

Humans love to think of our species as unique. But on a genetic level, such uniqueness is surprisingly hard to find. And while that may be a blow to the ego, it also means that an evolutionary lens is one way to search for insights into human diseases. Animals are “adapted to use the same genes that you and I have, but in very different ways,” Ashley Zehnder told BioWorld. Zehnder is co-founder and CEO of Fauna Bio Inc., which uses comparative genomics to identify gene networks that underlie disease resistance in different animal species.