A Multidimensional Precision Medicine Approach Identifies an Autism Subtype Characterized by Dyslipidemia

Overview

Journal Nat Med

Specialties General Medicine
Molecular Biology

Date 2020 Aug 12

PMID 32778826

Citations 29

Authors

Yuan Luo

Alal Eran

Nathan Palmer

Paul Avillach

Ami Levy-Moonshine

Peter Szolovits

Isaac S Kohane

Affiliations

Soon will be listed here.

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.

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