My career in genetics and research began with an interest in understanding the interplay between biology and the environmental conditions that contribute to disease. Over time, I’ve broadened my research interests to include genomics, genetic ancestry, racial disparities, personalized medicine and bioinformatics.
One of my areas of expertise is multi-omics (genomics, epigenomics, transcriptomics, microbiome, proteomics and metabolomics). For more than 11 years, I’ve worked to integrate multi-omics with statistical genetics and bioinformatics methods to uncover the molecular architecture of medical conditions, such as asthma and asthma-related allergic diseases.
My lab performs a variety of computational and applied data analysis projects, including the development of statistical and genome informatics tools that enable multiethnic admixture, genome-wide association and omics integration studies of biomedical traits. Our goal is to develop an in-depth understanding of the intricate interactions between genomic variations and environmental exposure in the etiology of complex diseases — and then translate these findings into clinical practice through collaborations with clinicians.
Some of our previous and ongoing research efforts include:
My colleagues and I have made several significant contributions to the field of genetic research. For example, in 2018, we filed a patent for our invention, “Methods for Diagnosing and Managing Treatment of Atopic Dermatitis.” Additionally, our web-based bioinformatics tool called AncestrySNPminer was the first of its kind; it retrieves ancestry-informative markers (AIMs) with divergent allele frequency/selection pressure from genomic databases. Other novel bioinformatics tools we’ve developed include GENEASE, SAGE, AdmixPower, MI-MAAP, PAMAM and AllergyGenDB.
Our work has been published in many peer-reviewed medical journals, including The Journal of Allergy and Clinical Immunology, Scientific Report (Nature research journal), Genetics (Genetics Society of America), Frontiers in Immunology, PLOS ONE, Bioinformatics, Frontiers in Genetics and BMC Genomics. My article, Genome-wide Analysis Revealed Sex-Specific Gene Expression in Asthmatics, was not only published by Human Molecular Genetics on August 1, 2019, it was also featured as that issue’s cover art and is available to read on the Cincinnati Children’s Research Horizons science blog.
I’ve received numerous invitations to serve on grant reviewing panels, give seminars and lead workshops at national and international meetings and academic institutions. These include an appointment to serve on the National Institutes of Health (NIH) Genetics of Health and Disease (GHD) Study Section; moderating panels on the use of ancestry, race and ethnicity in biomedical research at the NIH conference and the Missouri State University Public Affairs Meeting; and speaking at the NIH on the topic of “My Road to Success in Science.”
My awards and honors include a Faculty Research Achievement Award from Cincinnati Children’s; the African Professionals Network (APNET) Business and Professional Achievement Award; a Keystone Symposia Early Career Investigator Award; and Best Poster at the American Academy of Allergy, Asthma & Immunology (AAAAI) annual meeting.
BS: Alemaya University, Ethiopia, 1992.
MS: Alemaya University, Ethiopia, 1996.
PhD: University of Göttingen, Germany, 2004.
Allergy and allergy related disorders
Quantitative and statistical genetics and genomics; genetic linkage, association and admixture analysis; expression analysis; network and pathway analysis; gene ontology and functional commonalities analysis
Asthma, Global Health
Genome-wide analysis revealed sex-specific gene expression in asthmatics. Human Molecular Genetics. 2019; 28:2600-2614.
Airway Transcriptome Networks Identify Susceptibility to Frequent Asthma Exacerbations in Children. Journal of Allergy and Clinical Immunology. 2023.
Leveraging genetic ancestry to study severe asthma exacerbations in an admixed population. Thorax. 2023; 78:220-221.
Racial Fairness in Precision Medicine: Pediatric Asthma Prediction Algorithms. American Journal of Health Promotion. 2023; 37:239-242.
Airway transcriptome networks identify susceptibility to frequent asthma exacerbations in children. Journal of Allergy and Clinical Immunology. 2023; 151.
Multilevel Analysis of Racial and Ethnic Disparities in COVID-19 Hospitalization among Children with Allergies. Annals of the American Thoracic Society. 2023.
Development and validation of an RNA-seq-based transcriptomic risk score for asthma. Scientific Reports. 2022; 12.
Understanding racial disparities in childhood asthma using individual- and neighborhood-level risk factors. Journal of Allergy and Clinical Immunology. 2022; 150:1427-1436.e5.
Urinary volatile organic compound metabolites and reduced lung function in U.S. adults. Respiratory Medicine. 2022; 205.
Blood volatile organic compounds associated with non-reversible and reversible airflow obstruction in US adults. European Respiratory Journal. 2022; 60.
Tesfaye B. Mersha, PhD, Robert S. Kahn, MD, MPH9/28/2021
Tesfaye B. Mersha, PhD3/10/2021
Tesfaye B. Mersha, PhD, Andrew F. Beck, MD, MPH5/8/2020
Tesfaye B. Mersha, PhD8/26/2019