A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia
CHIP Contributors: Yuan Luo, PhD
The promise of precision medicine lies in data diversity. More than the sheer size of biomedical data, it is the layering of multiple data modalities, offering complementary perspectives, that is thought to enable the identification of patient subgroups with shared pathophysiology. In the present study, we use autism to test this notion. By combining healthcare claims, electronic health records, familial whole-exome sequences and neurodevelopmental gene expression patterns, we identified a subgroup of patients with dyslipidemia-associated autism.
Luo, Y., Eran, A., Palmer, N. et al. A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia. Nat Med 26, 1375–1379 (2020). https://doi.org/10.1038/s41591-020-1007-0