# Genetic variation impacting the airway smooth muscle in children with asthma

> **NIH NIH R00** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2021 · $248,959

## Abstract

PROJECT SUMMARY
Albuterol is the most commonly prescribed medication in the world for short-term relief of asthma symptoms,
and functions to control these symptoms through relaxation of the airway smooth muscle. Response to
albuterol varies widely between individuals and by race/ethnicity. Genome wide association studies (GWAS)
have uncovered many loci associated with the genetic factors of asthma risk and the pharmacogenomics of
albuterol response. However, these loci reside primarily in uncharacterized noncoding genomic regions, and
the genetic basis of asthma and albuterol response remains largely unknown. I hypothesize that rare, population-
specific variants inside gene regulatory elements active in airway smooth muscle cells contribute to racial/ethnic
and interindividual differences in asthma severity and albuterol response. In order to test this hypothesis, I will
build on my functional genomics training and add to them novel skills I will develop in the training phase of this
proposal in cellular reprograming, CRISPR/Cas9 genome editing and quantitative trait loci (QTL) analysis. With
these new skills, I will utilize functional genomic technologies of RNA-seq, ChIP-seq and ATAC-seq to
characterize the gene expression and gene regulatory elements active in primary bronchial smooth muscle cells
(BSMCs), generate a robust protocol for creation of induced pluripotent stem cell (iPSC) derived BSMCs, and
characterize their gene regulatory environment relative to primary BSMCs (Aim K1). This aim will provide an
encyclopedia of active genes, pathways and regulatory elements in a critical cell type relevant to asthma and
albuterol response. Through this aim, I will also provide the asthma research community with a well characterized
protocol to create patient-specific, iPSC-derived BSMCs (iBSMCs) which could be used for individual genetic and
drug assays. I will also identify variants that alter regulatory element activity and gene expression through
differential enhancer assays and CRISPR/Cas9 genome editing followed by RNA-seq and ATAC-seq (Aim K2).
In the independent phase of this project, I will create iBSMC lines from 100 asthmatic patients with deep genetic
and phenotypic data relating to lung function and albuterol response. I will then use these iBSMC lines to carry
out expression QTL and chromatin accessibility QTL mapping to identify genetic variants that alter gene
expression and enhancer activity, contributing to asthma severity and albuterol response (Aim R1). Finally, I
will functionally characterize these genomic variants for their general and ethnic-specific alterations to the gene
regulatory environment through CRISPR/Cas9 genome editing of patient-specific iBSMCs and followed by RNA-
seq and ATAC-seq (Aim K2). This study will advance our understanding of asthma and albuterol response by
creating a functional annotation in a critical cell type and providing a model for carrying out functional
experiments in cell lines derived fro...

## Key facts

- **NIH application ID:** 10063886
- **Project number:** 5R00HL135403-04
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Walter Eckalbar
- **Activity code:** R00 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $248,959
- **Award type:** 5
- **Project period:** 2017-09-01 → 2022-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10063886

## Citation

> US National Institutes of Health, RePORTER application 10063886, Genetic variation impacting the airway smooth muscle in children with asthma (5R00HL135403-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10063886. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*