Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Lessons from single cell omics: admixed American ancestry and sex confer cardiometabolic disease risk in Mexicans.

Genome medicine - 28 Mar 2026

Kar Asha, Lee Seung Hyuk T, Alvarez Marcus, Rajkumar Sandhya, Das Sankha Subhra, Ochoa-Guzmán Ana, Muñoz-Hernandez Linda Liliana, Guillen-Quintero Daniela Mariel, Herrera-Hernandez Miguel, Cruz-Bautista Ivette, Heinonen Sini, Saarinen Tuure, Juuti Anne, Laakso Markku, Pietiläinen Kirsi H, Balliu Brunilda, Aguilar-Salinas Carlos, Tusié-Luna Maria Teresa, Pajukanta Päivi

Abstract excerpt

BACKGROUND: Subcutaneous adipose tissue (SAT), the key human fat depot for cardiometabolic health, exhibits high cellular heterogeneity. However, the contributions of contexts and cardiometabolic diseases (CMDs) to this heterogeneity are poorly understood, especially in admixed populations. Despite the substantially increased risk of obesity and obesity-related CMDs in Mexicans, cell-type-level mechanisms behind...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adipocytes

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cardiovascular Diseases

Share to Metabolic Diseases

Share to Mexico

Share to Quantitative Trait Loci

Share to Sex Factors

Share to Single-Cell Analysis

Share to Subcutaneous Fat

Source

Open in PubMed Open full text

Identifiers

PMID: 41896987
DOI: 10.1186/s13073-026-01633-x
PMCID: PMC13151335

Genes

ACSL1
CYP26B1
DGAT2
GPAM
GPR180
LPL

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Lessons from single cell omics: admixed American ancestry and sex confer cardiometabolic disease risk in Mexicans.PMID 41896987Read ↗

Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated aging.Semantic proximity Read ↗

Integrative functional genomics and fine-mapping identify regulatory mechanisms of multivariate obesity GWAS and its cardiometabolic implications.Semantic proximity Read ↗

Integration of single cell omics with biobank data discovers<i>trans</i>effects of<i>SREBF1</i>abdominal obesity risk variants on adipocyte expression of more than 100 genesSemantic proximity Read ↗

Cell-Type Heterogeneity in Adipose Tissue Is Associated with Complex Traits and Reveals Disease-Relevant Cell-Specific eQTLsSemantic proximity Read ↗

Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits.Semantic proximity Read ↗

Cell-type heterogeneity in adipose tissue is associated with complex traits and reveals disease-relevant cell-specific eQTLsSemantic proximity Read ↗

Decoding the genetic crosstalk network for cardiometabolic diseases and metabolic traitsSemantic proximity Read ↗

Metabolic disease-relevant stimuli unmask context-dependent genetic regulation of cardiometabolic loci in human adipocytesSemantic proximity Read ↗

Single nucleus RNA-sequencing integrated into risk variant colocalization discovers 17 cell-type-specific abdominal obesity genes for metabolic dysfunction-associated steatotic liver disease.Semantic proximity Read ↗

Genetically regulated gene expression underlies lipid traits in Hispanic cohortsSemantic proximity Read ↗

Genetically regulated gene expression underlies lipid traits in Hispanic cohortsSemantic proximity Read ↗

Population-scale skeletal muscle single-nucleus multi-omic profiling reveals extensive context specific genetic regulationSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.