A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia

Yuan Luo, Alal Eran, Nathan Palmer, Paul Avillach, Ami Levy-Moonshine, Peter Szolovits, Isaac S. Kohane*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1375-1379
Number of pages5
JournalNature Medicine
Volume26
Issue number9
DOIs
StatePublished - Sep 1 2020

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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