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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Cystic fibrosis (CF), an autosomal recessive disorder, significantly affects the function of exocrine glands. This genetically inherited disease is characterized by the production of thick and sticky mucus, which can severely affect various organs and systems in the body.
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Single-Cell Mapping of Genetic Risk Across Ten Respiratory Diseases.

Miao Zhou1,2,3, Chao Xue1,2

  • 1Medical College, Jiaying University, Meizhou 514031, China.

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|December 30, 2025
PubMed
Summary

Genetic risk variants for respiratory diseases like asthma and COVID-19 are linked to specific lung cell types. Alveolar type II cells are key hubs, but distinct cell states drive varied disease susceptibilities.

Keywords:
GWASalveolar cellsgenetic susceptibilityimmune heterogeneitylungrespiratory diseasessingle-cell transcriptomics

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Area of Science:

  • Pulmonary Medicine
  • Genetics
  • Computational Biology

Background:

  • Understanding genetic contributions to respiratory diseases requires linking genome-wide association study (GWAS) signals to specific lung cell types.
  • The human lung comprises diverse cell types and states, each potentially playing a role in disease susceptibility.

Purpose of the Study:

  • To systematically map genetic risk variants from ten major respiratory diseases to specific cell types and states within the human lung.
  • To identify shared and disease-specific cellular mechanisms underlying respiratory disease pathogenesis.

Main Methods:

  • Integration of GWAS summary statistics for ten respiratory diseases with a large-scale single-cell transcriptomic dataset (>523,000 cells) from the Human Lung Cell Atlas.
  • Application of the single-cell Disease Relevance Score (scDRS) framework to identify cell type and state-specific genetic associations.
  • Subclustering of cell types to explore heterogeneity and distinct transcriptional programs related to disease susceptibility.

Main Results:

  • Alveolar type II (AT2) cells were identified as a central susceptibility hub for asthma, COPD, and COVID-19.
  • Disease-specific risk enrichment was observed in subpopulations, including CCL3+ alveolar macrophages for COVID-19 and adventitial fibroblasts for asthma.
  • Subclustering revealed significant heterogeneity within AT2 cells, showing divergent susceptibility patterns for asthma versus COVID-19 based on distinct transcriptional states.

Conclusions:

  • The study provides a systematic single-cell framework for connecting genetic risk to the cellular architecture of the human lung.
  • Identified shared and disease-specific cellular mechanisms contribute to respiratory disease susceptibility.
  • Cellular heterogeneity and distinct transcriptional programs within cell types are critical for understanding differential disease associations.