Related Experiment Video
Updated: May 16, 2026

DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
A comparison of deep multiomics profiles across ethnicity, geography, and age
Nasim Barapour1, John Z Cao2, Yue Wu1
1Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA; Stanford Center for Genomics and Personalized Medicine, Stanford, CA 94305, USA; Stanford Cardiovascular Institute, Stanford, CA 94305, USA.
Abstract:
Despite extensive research, molecular differences in human populations and the influence of ancestry, age, geography, and diet are poorly understood. We performed comprehensive multiomics profiling (including genomics, transcriptomics, proteomics, metabolomics, lipidomics, metallomics, glycomics, and microbiomics) on samples from 322 healthy individuals of European, East Asian, and South Asian ancestry across multiple continents. We identified ethnicity-associated molecular features linked to host metabolism, autoimmune disease risk, drug metabolism, and neurodegenerative pathways. We uncovered ancestry- and geography-related molecular changes affecting metabolism, immune function, microbiome composition, and biological aging. Specific genetic variants and gene expression differences were associated with lipid metabolism and immune regulation. Geography influenced biological age: East Asians showed lower biological age in their ancestral regions, whereas individuals of European ancestry exhibited lower biological age in the US/Canada than in Europe. Diet-microbiome metabolism interactions displayed ethnicity-specific patterns, many related to health. This open access resource advances understanding of ethnicity-environment interactions and supports precision medicine.
Related Concept Videos
Genomics
Evolutionary Relationships through Genome Comparisons
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes
Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
DNA Microarrays