Dr. Huo’s research interests focus on the genetic, molecular, and environmental factors underlying etiology, prognosis, and treatment of cancers, particularly as they relate to cancer in underserved populations. His research spans across several areas of cancer epidemiology and clinical epidemiology, including:
1. Genetic epidemiology of breast cancer, particular in women of African ancestry with the use of genome-wide association and whole genome sequencing approach.
2. Environmental and lifestyle factors for breast cancer etiology in African women and risk prediction model building, and strategy for cancer screening.
3. Health disparity in breast cancer outcomes in multiethnic patient cohort study with multi-dimensional data.
4. Investigation of the utilization and effectiveness of cancer treatment in real world using Big data.
5. Prenatal exposure to diethylstilbestrol and clear cell adenocarcinoma of vagina and cervix, as well as other health conditions in later life.
6. Epigenetics and non-coding RNAs, such as microRNAs in relationship to cancer prognosis and survival.
Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study.
Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study. JMIR Cancer. 2024 Jul 18; 10:e55438.
PMID: 39024570
Multi-tissue transcriptome-wide association studies identified 235 genes for intrinsic subtypes of breast cancer.
Multi-tissue transcriptome-wide association studies identified 235 genes for intrinsic subtypes of breast cancer. J Natl Cancer Inst. 2024 Jul 01; 116(7):1105-1115.
PMID: 38400758
Association of ESR1 Germline Variants with TP53 Somatic Variants in Breast Tumors in a Genome-wide Study.
Association of ESR1 Germline Variants with TP53 Somatic Variants in Breast Tumors in a Genome-wide Study. Cancer Res Commun. 2024 Jun 27; 4(6):1597-1608.
PMID: 38836758
Development and validation of a clinical breast cancer tool for accurate prediction of recurrence.
Development and validation of a clinical breast cancer tool for accurate prediction of recurrence. NPJ Breast Cancer. 2024 Jun 15; 10(1):46.
PMID: 38879577
Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants that Confer Risk for Breast Cancer.
Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants that Confer Risk for Breast Cancer. Cancer Res. 2024 Jun 04.
PMID: 38832928
Racial differences in familiarity, interest, and use of integrative medicine among patients with breast cancer.
Racial differences in familiarity, interest, and use of integrative medicine among patients with breast cancer. Breast Cancer Res Treat. 2024 May 15.
PMID: 38748087
Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction.
Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction. Nat Genet. 2024 May; 56(5):819-826.
PMID: 38741014
A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer.
A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer. Am J Hum Genet. 2024 Jun 06; 111(6):1100-1113.
PMID: 38733992
Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes.
Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes. Nat Commun. 2024 May 02; 15(1):3718.
PMID: 38697998
Declination of Treatment, Racial and Ethnic Disparity, and Overall Survival in US Patients With Breast Cancer.
Declination of Treatment, Racial and Ethnic Disparity, and Overall Survival in US Patients With Breast Cancer. JAMA Netw Open. 2024 May 01; 7(5):e249449.
PMID: 38722630
Study section of P01
NIH/NCI
2019
Study section of R01/R21
NIH/NCI
2018 - 2023
Study section of U01, H3Africa
NIH/NHGRI
2017
Study section of P01
NIH/NCI
2017
Runner-up in the Up For A Challenge – Stimulating Innovation in Breast Cancer Genetic Epidemiology
National Cancer Institute
2016
Study section of U54
NIH/NIMHD
2015
Distinguished Investigator Junior Award
University of Chicago
2014
Breast Cancer Research Program study section
U.S. Army Medical Research and Materiel Command
2013 - 2014
Breast Cancer Research Program study section
U.S. Army Medical Research and Materiel Command
2010
Breast Cancer Research Program study section
U.S. Army Medical Research and Materiel Command
2008
Delta Omega
National Honor Society in Public Health
2005
Haenszel Award for Excellence in Research
University of Illinois at Chicago
2005
Student Travel Award
University of Illinois at Chicago
2000