HCA Data Explorer

Asian Immune Diversity Atlas (AIDA): Single-cell analysis of human diversity in circulating immune cells (Japan cells)

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Updated October 24, 2024

Lack of diversity and proportionate representation in genomics datasets and databases contributes to inequity in healthcare outcomes globally. The relationships of human diversity with biological and biomedical phenotypes are pervasive, yet remain understudied, particularly in a single-cell genomics context. Here we present the Asian Immune Diversity Atlas (AIDA), a multi-national single-cell RNA-sequencing (scRNA-seq) healthy reference atlas of human immune cells. AIDA comprises 1,265,624 circulating immune cells from 619 healthy donors and 6 controls, spanning 7 population groups across 5 countries. AIDA is one of the largest healthy blood datasets in terms of number of cells, and also the most diverse in terms of number of population groups. Though population groups are frequently compared at the continental level, we identified a pervasive impact of sub-continental diversity on cellular and molecular properties of immune cells. These included cell populations and genes implicated in disease risk and pathogenesis as well as those relevant for diagnostics. We identified numerous examples where the effects of age and sex were modulated by self-reported ethnicity. We also detected age, sex, and self-reported ethnicity differences at the resolution of cell neighbourhoods, highlighting finer-grained distinctions than were apparent at cell-type level. We discovered functional genetic variants influencing cell type-specific gene expression, including context-dependent effects, which were under-represented in analyses of non-Asian population groups, and which helped contextualise disease-associated variants. We validated our findings using multiple independent datasets and cohorts. AIDA provides fundamental insights into the relationships of human diversity with immune cell phenotypes, enables analyses of multi-ancestry disease datasets, and facilitates the development of precision medicine efforts in Asia and beyond.

Chung-Chau HonRIKEN Center for Integrative Medical Scienceschungchau.hon@riken.jp
Jay W ShinRIKEN Center for Integrative Medical Sciences
Shyam PrabhakarGenome Institute of Singapore, A*STAR
Woong-Yang ParkSamsung Genome Institute
Chung-Chau Hon (Principal Investigator)1
Jay W Shin (Principal Investigator)1
Piero Carninci (Principal Investigator)1
Kazuhiko Yamamoto (Principal Investigator)1
Shyam Prabhakar (Principal Investigator)2
Woong-Yang Park (Principal Investigator)3
Deepa Rajagopalan (Experimental Scientist)2
Nirmala Arul Rayan (Experimental Scientist)2
Shvetha Sankaran (Experimental Scientist)2
Mai Abe (Experimental Scientist)1
Seiko Furukawa (Experimental Scientist)1
Gyo Inoue (Experimental Scientist)1
Keiko Myouzen (Experimental Scientist)1
Akari Suzuki (Experimental Scientist)1
Yoshinari Ando (Experimental Scientist)1
Miki Kojima (Experimental Scientist)1
Tsukasa Kouno (Experimental Scientist)1
Le Min Tan (Experimental Scientist)2
Eliora Violain Buyamin (Computational Scientist)2
Kian Hong Kock (Computational Scientist)2
Quy Xiao Xuan Lin (Computational Scientist)2
Jonathan Moody (Computational Scientist)1
Radhika Sonthalia (Computational Scientist)2
1RIKEN Center for Integrative Medical Sciences
2Genome Institute of Singapore, A*STAR
3Samsung Genome Institute
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/35d5b057-3daf-4ccd-8112-196194598893

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://cellxgene.cziscience.com/collections/ced320a1-29f3-47c1-a735-513c7084d5082.https://github.com/prabhakarlab/AIDA_Phase1/
None

Atlas

Genetic DiversityGDN v1.0

Analysis Portals

None

Project Label

AIDA_DataFreeze_v2_JP

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

blood

Organ Part

Unspecified

Selected Cell Types

peripheral blood mononuclear cell

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

10x 5' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

AIDA_ManagedAccess_ImputedGenotypes_October2022_JP

File Format

3 file formats

Cell Count Estimate

302.3k

Donor Count

153
fastq.gz604 file(s)vcf.gz1 file(s)xlsx1 file(s)