# Novel Methods for Analysis of Genetic and Epigenetic Studies of Childhood Asthma

> **NIH NIH K01** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2020 · $33,445

## Abstract

PROJECT SUMMARY
Title: Novel Methods for Analysis of Genetic and Epigenetic Studies of Childhood Asthma
Candidate: Dr. Qi Yan is a junior biostatistician and statistical geneticist. He obtained his Ph.D. degree at the
University of Alabama at Birmingham (2014). His main scientific interests lie in development and application of
statistical and computational methods for analysis of high-throughput genetic and epigenetic data. He is author
and co-author of 15 manuscripts, 11 of which are in the field of statistical genetics.
Environment: Children's Hospital of Pittsburgh (CHP) of UPMC, affiliated with the University of Pittsburgh,
School of Medicine, is a leading pediatric center for clinical care, research, and education excellence. Dr. Yan
works in the new Rangos Research Center, comprised of 10 floors of state-of-the-art laboratories, offices, and
conference facilities. In addition to superb mentoring by Dr. Daniel E. Weeks, Dr. Juan C. Celedón and Dr. Wei
Chen, institutional commitment includes dedicated office space and resource allocation; shared personnel
including clinicians and biologists, database manager, and laboratory staff; and guaranteed salary support until
June 2017.
Research: SIGNIFICANCE: The proposed project will develop novel statistical approaches for genetic and
epigenetic analysis and the developed approaches should identify novel susceptibility genes and help
researchers better understand the pathogenesis of childhood asthma in Puerto Ricans (PRs). The developed
methods can be widely applied to other complex diseases with similar datasets. INNOVATION: The novel
statistical approaches will be developed for integrative analysis of genetic and epigenetic data. AIMS: The goal
of this proposal is to develop and apply sophisticated statistical approaches to identify genetic and epigenetic
effects on childhood asthma in an integrative manner. APPROACH: In Aim1, we will develop novel statistical
approaches for testing overall genetic and epigenetic effects on childhood asthma related phenotypes in PRs.
In Aim2, we will develop novel statistical approaches for testing mediated genetic and epigenetic effects on
childhood asthma related phenotypes in PRs. In Aim3, We will develop novel statistical methods for
considering tissue or/and familial correlations when applying integrative analyses to PR childhood asthma
samples.

## Key facts

- **NIH application ID:** 9910441
- **Project number:** 5K01HL138098-03
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Qi Yan
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $33,445
- **Award type:** 5
- **Project period:** 2018-04-15 → 2020-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9910441

## Citation

> US National Institutes of Health, RePORTER application 9910441, Novel Methods for Analysis of Genetic and Epigenetic Studies of Childhood Asthma (5K01HL138098-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9910441. Licensed CC0.

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