Tesfaye B. Mersha, PhD

Academic Affiliations

Associate Professor, UC Department of Pediatrics

Phone 513-803-2766

Fax 513-636-1657

Email tesfaye.mersha@cchmc.org

Clinical

Allergy and allergy related disorders

Research

Quantitative and statistical genetics and genomics; genetic linkage, association and admixture analysis; expression analysis; network and pathway analysis; gene ontology and functional commonalities analysis

 Visit Dr Mersha's external lab website.

 Visit Dr. Mersha's lab at Cincinnati Children's.

Dr. Mersha is currently an associate professor at the Cincinnati Children’s Hospital Medical Center and University of Cincinnati, where he leads the Population Genetics, Ancestry, and Bioinformatics (pGAB) Laboratory. Dr. Mersha’s research combines quantitative, ancestry and statistical genomics to unravel genetic and non-genetic contributions to complex diseases and racial disparities in human populations, particularly asthma and asthma-related allergic disorders. Much of his research is at the interface of genetic ancestry, statistics, bioinformatics, and functional genomics, and he is interested in cross-line disciplines to unravel the interplay between genome and envirome underlying asthma risk. Dr. Mersha’s laboratory carries out both 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 complex biomedical traits, including asthma. He is a recognized expert in the field of genetic ancestry, race, admixture mapping and mining functional genomic databases related to complex diseases.

Dr. Mersha’s team contributions include the development of: 1) AncestrySNPminer, the first web-based bioinformatics tool designed to retrieve ancestry-informative markers (AIMs) with divergent allele frequency/selection pressure from the genomic databases (Cincinnati Children's Hospital Medical Center Technology disclosure #: 2011-1105). As of March 15, 2018, over 18,506 registered users world-wide have freely accessed this tool; 2) GENEASE, an integrative omics tool used to filter functionally important variants from publicly available ‘omics’ databases such as ENCODE, GTEx, and Epigenome Roadmap; 3) SAGE, a shared ancestry genetic etiology miner tool among complex diseases and multiple racial ancestry populations; 4) AdmixPower, a power and sample size estimation for mapping genetic loci in admixed populations.

Dr. Mersha has received multiple awards and honors including 1) 2017 Faculty Research Achievement Award from Cincinnati Children’s Hospital Medical Center, 2) 2017 African Professionals Network (APNET) Business & Professional Achievement Award, and 3) Keystone Symposia Early Career Investigator Award. Dr. Mersha has been invited to speak at national and international conferences, and moderated a panel on use of ancestry, race and ethnicity in biomedical research at a recent NIH conference. In 2017, he was invited to speak at the NHLBI funded PRIDE meeting on the topic of “My Road to Success.” Dr. Mersha organized and led an “Omics” workshop at the 2017 AAAAI annual conference entitled: “Omics-based bioinformatics/system biology approach to allergic disorders”. Dr. Mersha is a Program Faculty member of the Immunology Graduate Program, Biomedical Informatics (BMI) Graduate Program Faculty, Medical Scientist Training Program (MSTP) Faculty, and Systems Biology Program Faculty, and offer lectures to graduate students at the University of Cincinnati and Xavier University.

A major focus of Dr. Mersha's laboratory has been ancestry analysis, gene-environment interactions and functional genomics of asthma and asthma-related allergic disorders. Specific ongoing research projects include the following: 1) admixture mapping to localize asthma liability genes in admixed population; 2) interaction of asthma risk variants and environmental exposures that shape racial disparities; 3) identifying genetic/regulatory networks to identify potential functional variants associated with asthma and atopic dermatitis using whole transcriptome RNA-seq profiling; 4) investigating the role of microbiome and epigenome on asthma pathogenesis among immigrants; 5) developing web-based bioinformatics tools designed to leverage and integrate multiple omics from public databases (e.g., ENCODE, Epigenome Roadmap, GTEx, GEO and 1000 Genomes Project). His career goals are to develop a program that will lead to an in-depth understanding of the complex interplay between genomic variations and environmental exposure risk factors in the etiology of complex diseases, including asthma. His ultimate goal is to translate these findings into the clinic through collaborations with clinicians.

BS: Alemaya University, Ethiopia, 1992.

MS: Alemaya University, Ethiopia, 1996.

PhD: University of Göttingen, Germany, 2004.

View PubMed Publications

Mersha TB. Mapping asthma-associated variants in admixed populations. Front Genet. 2015 Sep 29;6:292.

Ghosh D, Ding L, Sivaprasad U, Geh E, Biagini Myers J, Bernstein JA, Khurana Hershey GK, Mersha TB. Multiple Transcriptome Data Analysis Reveals Biologically Relevant Atopic Dermatitis Signature Genes and Pathways. PLoS One. 2015 Dec 30;10(12):e0144316.

Mersha TB, Abebe T. Self-reported race/ethnicity in the age of genomic research: its potential impact on understanding health disparities. Hum Genomics. 2015 Jan 7;9:1.

Ding L, Abebe T, Beyene J, Wilke RA, Goldberg A, Woo JG, Martin LJ, Rothenberg ME, Rao M, Hershey GK, Chakraborty R, Mersha TB. Rank-based genome-wide analysis reveals the association of Ryanodine receptor-2 gene variants with childhood asthma among human populations. Hum Genomics. 2013 Jul 5;7:16.

Amirisetty S, Hershey GK, Baye TM. AncestrySNPminer: A bioinformatics tool to retrieve and develop ancestry informative SNP panels. Genomics. 2012 Jul;100(1):57-63.

Baye TM, Butsch Kovacic M, Biagini Myers JM, Martin LJ, Lindsey M, Patterson TL, He H, Ericksen MB, Gupta J, Tsoras AM, Lindsley A, Rothenberg ME, Wills-Karp M, Eissa NT, Borish L, Hershey GK. Differences in Candidate Gene Association between European Ancestry and African American Asthmatic Children. PLoS One. 2011 Feb 28;6(2):e16522.

Baye TM, Abebe T, Wilke RA. Genotype-environment interaction and its translational implications. Personalized Medicine. 2011;8:59-70.

Baye TM, Wilke RA. Mapping genes that predict treatment outcome in admixed populations. Pharmacogenomics J. 2010 Dec;10(6):465-77.

Baye TM, Martin LJ, Khurana Hershey GK. Application of genetic/genomic approaches to allergic disorders. J Allergy Clin Immunol. 2010 Sep;126(3):425-36; quiz 437-8.

Baye TM, Wilke RA, Olivier M. Genomic and geographic distribution of private SNPs and pathways in human populations. Per Med. 2009 Nov 1;6(6):623-641.