Todd Skaar
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Genomic Medicine: Translating Genetic Discoveries into Clinical Care
Dr. Todd Skaar is an internationally recognized leader in the field of pharmacogenomics. Dr. Skaar and his research team study ways to improve the success of cancer treatment drug therapies. His work focuses on the impact of genomic variability in how these drugs interact with each other and in the body. Better understanding these drug interactions can improve outcomes and reduce hospitalizations. Dr. Skaar’s competitive translational research was awarded an NIH-funded Maximizing Investigators’ Research Award (MIRA).
Dr. Skaar serves as the leader of the Pharmacogenomics (PGx) Implementation Team working under the larger Precision Health Initiative (PHI) inaugural project awarded in 2016. PGx, which utilizes a patient’s genetics to guide selection and dosing of appropriate medications, has the potential to enhance medication efficacy and minimize toxicity. Dr. Skaar’s team has successfully implemented PGx testing in cardiology, oncology, psychiatry, neurology, and in various transplant disciplines.
Dr. Skaar is passionate about mentoring and encouraging young researchers. Trainees have emerged as leaders in translational medicine, as faculty at academic institutions, as scientists working in the pharmaceutical and biotechnology industries, and as regulators at the U.S. Food and Drug Administration and National Institutes of Health. Dr. Skaar exemplifies a translational scientist through his research, collaborations, mentorship of trainees, and through his positive impact on human health.
Dr. Skaar's translation of research into improved health outcomes for patients taking medications is another excellent example of how IUPUI's faculty members are TRANSLATING their RESEARCH INTO PRACTICE.
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Recent Submissions
Item Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for Codeine Therapy in the Context of Cytochrome P450 2D6 (CYP2D6) Genotype(Wiley, 2012-02) Crews, K.R.; Gaedigk, A.; Dunnenberger, H.M.; Klein, T.E.; Shen, D.D.; Callaghan, J.T.; Kharasch, E.D.; Skaar, T.C.Codeine is bioactivated to morphine, a strong opioid agonist, by the hepatic cytochrome P450 2D6 (CYP2D6); hence, the efficacy and safety of codeine as an analgesic are governed by CYP2D6 polymorphisms. Codeine has little therapeutic effect in patients who are CYP2D6 poor metabolizers, whereas the risk of morphine toxicity is higher in ultrarapid metabolizers. The purpose of this guideline (periodically updated at http://www.pharmgkb.org) is to provide information relating to the interpretation of CYP2D6 genotype test results to guide the dosing of codeine.Item Rifampin Regulation of Drug Transporters Gene Expression and the Association of MicroRNAs in Human Hepatocytes(Frontiers Media, 2016-04-26) Benson, Eric A.; Eadon, Michael T.; Desta, Zeruesenay; Liu, Yunlong; Lin, Hai; Burgess, Kimberly S.; Segar, Matthew W.; Gaedigk, Andrea; Skaar, Todd C.; Medicine, School of MedicineMembrane drug transporters contribute to the disposition of many drugs. In human liver, drug transport is controlled by two main superfamilies of transporters, the solute carrier transporters (SLC) and the ATP Binding Cassette transporters (ABC). Altered expression of these transporters due to drug-drug interactions can contribute to differences in drug exposure and possibly effect. In this study, we determined the effect of rifampin on gene expression of hundreds of membrane transporters along with all clinically relevant drug transporters. Methods: In this study, primary human hepatocytes (n = 7 donors) were cultured and treated for 24 h with rifampin and vehicle control. RNA was isolated from the hepatocytes, mRNA expression was measured by RNA-seq, and miRNA expression was analyzed by Taqman OpenArray. The effect of rifampin on the expression of selected transporters was also tested in kidney cell lines. The impact of rifampin on the expression of 410 transporter genes from 19 different transporter gene families was compared with vehicle control. Results: Expression patterns of 12 clinically relevant drug transporter genes were changed by rifampin (FDR < 0.05). For example, the expressions of ABCC2, ABCB1, and ABCC3 were increased 1.9-, 1.7-, and 1.2-fold, respectively. The effects of rifampin on four uptake drug transporters (SLCO1B3, SLC47A1, SLC29A1, SLC22A9) were negatively correlated with the rifampin effects on specific microRNA expression (SLCO1B3/miR-92a, SLC47A1/miR-95, SLC29A1/miR-30d#, and SLC22A9/miR-20; r < -0.79; p < 0.05). Seven hepatic drug transporter genes (SLC22A1, SLC22A5, SLC15A1, SLC29A1, SLCO4C1, ABCC2, and ABCC4), whose expression was altered by rifampin in hepatocytes, were also present in a renal proximal tubular cell line, but in renal cells rifampin did not alter their gene expression. PXR expression was very low in the kidney cells; this may explain why rifampin induces gene expression in a tissue-specific manner. Conclusion: Rifampin alters the expression of many of the clinically relevant hepatic drug transporters, which may provide a rational basis for understanding rifampin-induced drug-drug interactions reported in vivo. The relevance of its effect on many other transporters remains to be studied.Item Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes(Springer Nature, 2018-02-26) Numanagić, Ibrahim; Malikić, Salem; Ford, Michael; Qin, Xiang; Toji, Lorraine; Radovich, Milan; Skaar, Todd C.; Pratt, Victoria M.; Berger, Bonnie; Scherer, Steve; Sahinalp, S. Cenk; Medicine, School of MedicineHigh-throughput sequencing provides the means to determine the allelic decomposition for any gene of interest-the number of copies and the exact sequence content of each copy of a gene. Although many clinically and functionally important genes are highly polymorphic and have undergone structural alterations, no high-throughput sequencing data analysis tool has yet been designed to effectively solve the full allelic decomposition problem. Here we introduce a combinatorial optimization framework that successfully resolves this challenging problem, including for genes with structural alterations. We provide an associated computational tool Aldy that performs allelic decomposition of highly polymorphic, multi-copy genes through using whole or targeted genome sequencing data. For a large diverse sequencing data set, Aldy identifies multiple rare and novel alleles for several important pharmacogenes, significantly improving upon the accuracy and utility of current genotyping assays. As more data sets become available, we expect Aldy to become an essential component of genotyping toolkits.Item High-Throughput Assays to Assess the Functional Impact of Genetic Variants: A Road Towards Genomic-Driven Medicine(Wiley, 2017-03) Ipe, J.; Swart, M.; Burgess, K.S.; Skaar, T.C.; Medicine, School of MedicineItem Considerations for the Utility of the CPIC Guideline for CYP2D6 Genotype and Codeine Therapy(Oxford University Press, 2015-05) Crews, Kristine R.; Caudle, Kelly E.; Dunnenberger, Henry M.; Sadhasivam, Senthilkumar; Skaar, Todd C.Item A SNP in Steroid Receptor Coactivator-1 Disrupts a GSK3β Phosphorylation Site and Is Associated with Altered Tamoxifen Response in Bone(Oxford University Press, 2012-02) Hartmaier, R.J.; Richter, A.S.; Gillihan, R.M.; Sallit, J.Z.; McGuire, S.E.; Wang, J.; Lee, A.V.; Osborne, C.K.; O'Malley, B.W.; Brown, P.H.; Xu, J.; Skaar, T.C.; Philips, S.; Rae, J.M.; Azzouz, F.; Li, L.; Hayden, J.; Henry, N.L.; Nguyen, A.T.; Stearns, V.; Hayes, D.F.; Flockhart, D.A.; Oesterreich, S.The coregulator steroid receptor coactivator (SRC)-1 increases transcriptional activity of the estrogen receptor (ER) in a number of tissues including bone. Mice deficient in SRC-1 are osteopenic and display skeletal resistance to estrogen treatment. SRC-1 is also known to modulate effects of selective ER modulators like tamoxifen. We hypothesized that single nucleotide polymorphisms (SNP) in SRC-1 may impact estrogen and/or tamoxifen action. Because the only nonsynonymous SNP in SRC-1 (rs1804645; P1272S) is located in an activation domain, it was examined for effects on estrogen and tamoxifen action. SRC-1 P1272S showed a decreased ability to coactivate ER compared with wild-type SRC-1 in multiple cell lines. Paradoxically, SRC-1 P1272S had an increased protein half-life. The Pro to Ser change disrupts a putative glycogen synthase 3 (GSK3)β phosphorylation site that was confirmed by in vitro kinase assays. Finally, knockdown of GSK3β increased SRC-1 protein levels, mimicking the loss of phosphorylation at P1272S. These findings are similar to the GSK3β-mediated phospho-ubiquitin clock previously described for the related coregulator SRC-3. To assess the potential clinical significance of this SNP, we examined whether there was an association between SRC-1 P1272S and selective ER modulators response in bone. SRC-1 P1272S was associated with a decrease in hip and lumbar bone mineral density in women receiving tamoxifen treatment, supporting our in vitro findings for decreased ER coactivation. In summary, we have identified a functional genetic variant of SRC-1 with decreased activity, resulting, at least in part, from the loss of a GSK3β phosphorylation site, which was also associated with decreased bone mineral density in tamoxifen-treated women.Item Alt Event Finder: a tool for extracting alternative splicing events from RNA-seq data.(BMC, 2012) Zhou, Ao; Breese, Marcus R.; Hao, Yangyang; Edenberg, Howard J.; Li, Lang; Skaar, Todd C.; Liu, YunlongBACKGROUND: Alternative splicing increases proteome diversity by expressing multiple gene isoforms that often differ in function. Identifying alternative splicing events from RNA-seq experiments is important for understanding the diversity of transcripts and for investigating the regulation of splicing. RESULTS: We developed Alt Event Finder, a tool for identifying novel splicing events by using transcript annotation derived from genome-guided construction tools, such as Cufflinks and Scripture. With a proper combination of alignment and transcript reconstruction tools, Alt Event Finder is capable of identifying novel splicing events in the human genome. We further applied Alt Event Finder on a set of RNA-seq data from rat liver tissues, and identified dozens of novel cassette exon events whose splicing patterns changed after extensive alcohol exposure. CONCLUSIONS: Alt Event Finder is capable of identifying de novo splicing events from data-driven transcript annotation, and is a useful tool for studying splicing regulation.Item The impact of glucocorticoid polymorphisms on markers of neonatal respiratory disease after antenatal betamethasone administration.(Elsevier, 2013-03) Haas, David M.; Dantzer, Jessica; Lehmann, Amalia S.; Philips, Santosh; Skaar, Todd C.; McCormick, Catherine L.; Hebbring, Scott J.; Jung, Jeesun; Li, LangOBJECTIVE: We previously demonstrated that maternal and fetal genotypes are associated independently with neonatal respiratory distress syndrome. The objective of the current study was to determine the impact of maternal and fetal single-nucleotide polymorphisms (SNPs) in key betamethasone pathways on respiratory outcomes that serve as markers for severity of disease. STUDY DESIGN: DNA was obtained from women who were given betamethasone and from their infants. Samples were genotyped for 73 exploratory drug metabolism and glucocorticoid pathway SNPs. Clinical variables and neonatal outcomes were obtained. Logistic regression analysis that controlled for relevant clinical variables to determine SNP impact on bronchopulmonary dysplasia (BPD), the need for respiratory support, and surfactant therapy use was performed. RESULTS: Data from 109 women who delivered 117 infants were analyzed: 14.5% of the infants experienced BPD; 70.8% of the infants needed some respiratory support after birth, and 27.5% of the infants needed surfactant therapy. In a multivariable regression analysis, gestational age at delivery was associated with most neonatal respiratory outcomes (P ≤ .01), and chorioamnionitis was associated with BPD (P < .03). The following genotypes were associated with respiratory severity outcomes: BPD-fetal Importin 13 gene (IPO13; rs4448553; odds ratio [OR], 0.01; 95% confidence interval [CI], 0.00-0.92); surfactant use-maternal IPO13 (rs2428953 and 2486014; OR, 13.8; 95% CI, 1.80-105.5; and OR, 35.5; 95% CI, 1.71-736.6, respectively). CONCLUSION: Several discrete maternal and fetal SNPs in the IPO13 family may be associated with neonatal respiratory outcomes after maternal antenatal corticosteroid treatment for anticipated preterm birth.Item Clinical benefit of a precision medicine based approach for guiding treatment of refractory cancers(Impact Journals, 2016-08-30) Radovich, Milan; Kiel, Patrick J.; Nance, Stacy M.; Niland, Erin E.; Parsley, Megan E.; Ferguson, Meagan E.; Jiang, Guanglong; Ammakkanavar, Natraj R.; Einhorn, Lawrence H.; Cheng, Liang; Nassiri, Mehdi; Davidson, Darrell D.; Rushing, Daniel A.; Loehrer, Patrick J.; Pili, Roberto; Hanna, Nasser; Callaghan, J. Thomas; Skaar, Todd C.; Helft, Paul R.; Shahda, Safi; O’Neil, Bert H.; Schneider, Bryan P.; Medicine, School of MedicinePatients and methods: Patients with metastatic solid tumors who had progressed on at least one line of standard of care therapy were referred to the Indiana University Health Precision Genomics Program. Tumor samples were submitted for DNA & RNA next-generation sequencing, fluorescence in situ hybridization, and immunohistochemistry for actionable targets. A multi-disciplinary tumor board reviewed all results. For each patient, the ratio of progression-free survival (PFS) of the genomically guided line of therapy divided by the PFS of their prior line was calculated. Patients whose PFS ratio was ≥ 1.3 were deemed to have a meaningful improvement in PFS. Results: From April 2014-October 2015, 168 patients were evaluated and 101 patients achieved adequate clinical follow-up for analysis. 19 of 44 (43.2%) patients treated with genomically guided therapy attained a PFS ratio ≥ 1.3 vs. 3 of 57 (5.3%) treated with non-genomically guided therapy (p < 0.0001). Similarly, overall PFS ratios (irrespective of cutoff) were higher for patients with genomically guided therapy vs non-genomically guided therapy (p = 0.05). Further, patients treated with genomically guided therapy had a superior median PFS compared to those treated with non-genomically guided therapy (86 days vs. 49 days, p = 0.005, H.R. = 0.55, 95% C.I.:0.37-0.84). Conclusion: Patients with refractory metastatic cancer who receive genomically guided therapy have improved PFS ratios and longer median PFS compared to patients who do not receive genomically guided therapy.Item Association of Variants in Candidate Genes with Lipid Profiles in Women with Early Breast Cancer on Adjuvant Aromatase Inhibitor Therapy(American Association for Cancer Research, 2016-03-15) Santa-Maria, Cesar A.; Blackford, Amanda; Nguyen, Anne T.; Skaar, Todd C.; Philips, Santosh; Oesterreich, Steffi; Rae, James M.; Desta, Zeruesenay; Robarge, Jason; Henry, Norah Lynn; Storniolo, Anna M.; Hayes, Daniel F.; Blumenthal, Roger S.; Ouyang, Pamela; Post, Wendy S.; Flockhart, David A.; Stearns, Vered; Medicine, School of MedicinePurpose: Aromatase inhibitors can exert unfavorable effects on lipid profiles; however, previous studies have reported inconsistent results. We describe the association of single-nucleotide polymorphisms (SNP) in candidate genes with lipid profiles in women treated with adjuvant aromatase inhibitors. Experimental design: We conducted a prospective observational study to test the associations between SNPs in candidate genes in estrogen signaling and aromatase inhibitor metabolism pathways with fasting lipid profiles during the first 3 months of aromatase inhibitor therapy in postmenopausal women with early breast cancer randomized to adjuvant letrozole or exemestane. We performed genetic association analysis and multivariable linear regressions using dominant, recessive, and additive models. Results: A total of 303 women had complete genetic and lipid data and were evaluable for analysis. In letrozole-treated patients, SNPs in CYP19A1, including rs4646, rs10046, rs700518, rs749292, rs2289106, rs3759811, and rs4775936 were significantly associated with decreases in triglycerides by 20.2 mg/dL and 39.3 mg/dL (P < 0.00053), respectively, and with variable changes in high-density lipoprotein (HDL-C) from decreases by 4.2 mg/dL to increases by 9.8 mg/dL (P < 0.00053). Conclusions: Variants in CYP19A1 are associated with decreases in triglycerides and variable changes in HDL-C in postmenopausal women on adjuvant aromatase inhibitors. Future studies are needed to validate these findings, and to identify breast cancer survivors who are at higher risk for cardiovascular disease with aromatase inhibitor therapy.