# Innovative Statistical Analysis for Genome-Wide Data with Interval-Censored Outcomes of Oral Health in Childhood Cancer Survivors

> **NIH NIH R03** · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · 2021 · $1

## Abstract

Project Summary/Abstract
This application will study the oral sequelae in childhood cancer survivors from the St. Jude Life cohort and Childhood
Cancer Survivor Study cohort. Both disease onset and onset time were collected, but current analyses fail to analyze the
disease onset time due to high rate of missing data. DNA samples were collected and sequenced but not analyzed either.
We propose innovative ways to analyze the disease onset time in the presence of missing data by considering some onset
time as interval-censored, and propose new methods for analyzing interval-censored outcomes with ultrahigh-dimensional
genetic covariates. We will perform both single variant-based and rare variant aggregation-based analysis for the whole
genome sequencing data. We aim to estimate oral disease dynamics and associated risk factors including environmental
factors, genetic factors, and their interaction. Specifically, the aims are: 1). Develop nonparametric and semiparametric
screening methods for ultrahigh-dimensional data with interval-censored outcomes; 2). Develop a penalized regression
method for data with reduced dimensionality from Aim 1; 3). Apply the methods developed in Aim 1 and Aim 2 to the
SJLIFE and CCSS data. We will develop and share multiple user-friendly R codes associated with the new methods. The
main objective of the proposed research is to employ the existing methods and develop new statistical procedures to
perform appropriate analysis on the whole-genome and oral health data for a deeper understanding of the genetic
architecture of tooth development and disease.

## Key facts

- **NIH application ID:** 10144986
- **Project number:** 5R03DE029238-02
- **Recipient organization:** UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
- **Principal Investigator:** Yimei Li
- **Activity code:** R03 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1
- **Award type:** 5
- **Project period:** 2020-05-01 → 2021-05-02

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10144986

## Citation

> US National Institutes of Health, RePORTER application 10144986, Innovative Statistical Analysis for Genome-Wide Data with Interval-Censored Outcomes of Oral Health in Childhood Cancer Survivors (5R03DE029238-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10144986. Licensed CC0.

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