Evidence map›Paper›PMID 41896987›Full record

ArticleGenome medicine2026

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

Asha Kar, Seung Hyuk T Lee, Marcus Alvarez, Sandhya Rajkumar, Sankha Subhra Das, Ana Ochoa-Guzmán, Linda Liliana Muñoz-Hernandez, Daniela Mariel Guillen-Quintero, Miguel Herrera-Hernandez, Ivette Cruz-Bautista and 9 more

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Asha KarDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Seung Hyuk T LeeDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Marcus AlvarezDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Sandhya RajkumarDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Sankha Subhra DasDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Ana Ochoa-GuzmánUnidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Linda Liliana Muñoz-HernandezUnidad de Investigación de Enfermedades Metabólicas of the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Daniela Mariel Guillen-QuinteroUnidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Miguel Herrera-HernandezSurgery Direction of the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Ivette Cruz-BautistaUnidad de Investigación de Enfermedades Metabólicas of the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Sini HeinonenObesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Tuure SaarinenDepartment of Abdominal Surgery, Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Anne JuutiDepartment of Abdominal Surgery, Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Markku LaaksoInstitute of Clinical Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Kirsi H PietiläinenObesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Brunilda BalliuDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Carlos Aguilar-SalinasUnidad de Investigación de Enfermedades Metabólicas of the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Maria Teresa Tusié-LunaUnidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas UNAM/Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Päivi PajukantaDepartment of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. ppajukanta@mednet.ucla.edu.

Funding

Multimodal omics approach to identify health to cardiometabolic disease transitionsR01HL170604 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Paivi Pajukanta · 2023 to 2026
$2.8M
Methods for Genomic Analysis in Heterogeneous TissuesR01HG010505 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HALPERIN, ERAN · 2019 to 2022
$2.6M
Genetics of adipose cell-type expression and cardiometabolic traitsR01DK132775 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MOHLKE, KAREN L., PAJUKANTA, PAIVI · 2022 to 2025
$2.4M
Academy of Finland 272376Academy of Finland 314457Academy of Finland 338417NHGRI NIH HHS R01 HG010505NHGRI NIH HHS R01HG010505NHLBI NIH HHS R01 HL170604NHLBI NIH HHS R01HL170604NIDDK NIH HHS R01 DK132775NIDDK NIH HHS R01DK132775Novo Nordisk Foundation NNF10OC1013354
6 · The paper itself

Abstract

backgroundSubcutaneous 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 their elevated CMD risk have remained elusive.

methodsTo investigate how cell-type and subcell-type level profiles of SAT are impacted by sex, admixed American ancestry, CMD traits, and cell-type level cis regulation in Mexicans, we generated a Mexican SAT single nucleus RNA sequencing cohort (n = 49). We performed cell-type level differential expression testing, weighted gene co-expression analysis, and cis-expression quantitative trait locus (eQTL) mappings. We then integrated genome-wide association study (GWAS) and Mexican population level data to assess partitioned polygenic risk for lipid outcomes and colocalization between SAT cell-type level cis-eQTL variants and lipid GWAS variants.

resultsFirst, we discovered and validated a sex-associated adipocyte subtype, overlapping an adipocyte co-expression network with 132 adipocyte function centered genes, including key triglyceride biosynthesis genes, GPAM, DGAT2, ACSL1, and LPL, that are differentially expressed (DE) by sex. The cis regional variants of these network genes DE by sex confer a significant sex-specific polygenic risk to serum triglycerides, a clinically important atherogenic lipid trait. We also found significant enrichment of progesterone receptor binding at these variant sites, contributing to the sex-specific findings. Second, we identified 34 colocalized genes for three lipid traits, of which 25 (74%) genes have not been identified in previous European colocalization studies using SAT bulk tissue. Among the discovered 25 lipid GWAS genes, 12 are regulated by Mexican enriched and seven by European enriched cis-eQTL variants, thus mechanistically elucidating the genetic dyslipidemia susceptibility at the cell-type level in both Europeans and Mexicans. The identified 12 lipid GWAS genes regulated by a Mexican enriched variant include an important adipogenesis gene, CYP26B1, and a regulator of adipocyte browning and beiging, GPR180.

conclusionsWe identify sex- and ancestry-stratified genes and variants contributing to the risk of adverse cardiometabolic outcomes and improve understanding of the complex cell-type level biological mechanisms underlying CMDs in Mexicans.

Indexed as

Cardiovascular DiseasesMetabolic DiseasesAdipocytesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMexicoNorth American PeoplePolymorphism, Single NucleotideQuantitative Trait LociSex FactorsSingle-Cell AnalysisSubcutaneous FatCardiometabolic diseasesColocalization of cell-type level cis-eQTL and GWAS signalsMexicansPolygenic riskSingle cell RNA-sequencingSubcutaneous adipose tissue

Identifiers

PMID41896987
PMCPMC13151335

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.