ROGER PIQUE-REGI, PH.D. ACADEMIC AFFILIATIONS Associate Professor Center for Molecular Medicine and Genetics, Wayne State University Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Wayne State University School of Medicine and the Perinatology Research Branch, NICHD/NIH/DHHS EDUCATION AND TRAINING Ph.D. Electrical Engineering University of Southern California Los Angeles, California B.S-M.S. Telecommunications Engineering Universitat Politecnica de Catalunya Barcelona, Catalonia Postdoctoral Fellowship – Genetics University of Chicago Chicago, Illinois RESEARCH ACCOMPLISHMENTS Authored and co-authored more than 45 articles in the areas of genomics, genetics, and computational biology. Characterized the molecular common pathway of labor, and term and preterm parturition at single cell resolution. Determined that co-expression of the ACE2 and TMPRSS2 transcripts is negligible in the placenta and chorioamniotic membranes, showing why vertical transmission of SARS-CoV-2 is rare. Developed useful tools to analyze genomic datasets such as transcription factor footprints (CENTIPEDE), eQTL fine mapping (torus), copy number detection (GADA), and allele specific expression (QuASAR). Genes with gene-by-environment interactions affecting their transcription are also more likely to be associated with complex traits. AWARDS AND RECOGNITIONS 2003 “La Caixa” Fellowship for doctoral studies in United States , Fundacio La Caixa 2007 Best Paper Award finalist at ICASSP, IEEE 2009 “Chicago Fellows” postdoctoral scholarship , The University of Chicago 2011 Young Investigator Award, International Congress of Human Genetics (ASHG), Montreal 2012 Top Ten Papers in Regulatory and Systems Genomics 2011, ISCB/RECOMB 2013 Top Ten Papers in Regulatory and Systems Genomics 2012, ISCB/RECOMB 2017 Outstanding Graduate Mentor Award in the Health Sciences, Wayne State University 2019 Research Excellence Award, Wayne State University School of Medicine’s College Teaching Award RESEARCH INTERESTS Analysis of functional genomics data (ATAC-seq, RNA-seq) both bulk and at single cell resolution. Development of computational tools and statistical genetics models. Molecular mechanisms regulating gene transcription, chromatin accessibility, and transcription factor binding. Genetics of molecular traits and gene-by-environment interactions. Precision medicine for preterm birth and pregnancy complications. GRANTS R01- GM109215 “Functional Characterization of the Genetic and Environmental Determinants of Complex Traits” NIH-NIGMS (2014—Present) SELECT PUBLICATIONS Pique-Regi R, Romero R, Tarca AL, Luca F, Xu Y, Alazizi A, Leng Y, Hsu CD, Gomez-Lopez N. Does the human placenta express the canonical cell entry mediators for SARS-CoV-2? Elife. 2020 Jul 14; 9:e58716. PMID: 32662421 Hukku A, Quick C, Luca F, Pique-Regi R, Wen X. BAGSE: a Bayesian hierarchical model approach for gene set enrichment analysis. Bioinformatics. 2020 Mar 1; 36:1689-1695. PMID: 31702789 Tarca AL, Romero R, Pique-Regi R, Pacora P, Done B, Kacerovsky M, Bhatti G, Jaiman S, Hassan SS, Hsu CD, Gomez-Lopez N. Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy. BMC Med Genomics. 2020 Feb 12; 13:25. PMID: 32050959 Pique-Regi R, Romero R, Tarca AL, Sendler ED, Xu Y, Garcia-Flores V, Leng Y, Luca F, Hassan SS, Gomez-Lopez N. Single cell transcriptional signatures of the human placenta in term and preterm parturition. Elife. 2019 Dec 12; 8:e52004. PMID: 31829938 Findley AS, Richards AL, Petrini C, Alazizi A, Doman E, Shanku AG, Davis GO, Hauff N, Sorokin Y, Wen X, Pique-Regi R, Luca F. Interpreting coronary artery disease risk through gene-environment interactions in gene regulation. Genetics. 2019 Oct; 213:651-663. PMID: 31492806 Kalita CA, Brown CD, Freiman A, Isherwood J, Wen X, Pique-Regi R, Luca F. High-throughput characterization of genetic effects on DNA-protein binding and gene transcription. Genome Res. 2018 Nov; 28:1701-1708. PMID: 30254052 Burl RB, Ramseyer VD, Rondini EA, Pique-Regi R, Lee YH, Granneman JG. Deconstructing adipogenesis induced by β3-adrenergic receptor activation with single-cell expression profiling. Cell Metab. 2018 Aug 7; 28:300-309.e4. PMID: 29937373 Moyerbrailean GA, Richards AL, Kurtz D, Kalita CA, Davis GO, Harvey CT, Alazizi A, Watza D, Sorokin Y, Hauff N, Zhou X, Wen X, Pique-Regi R*, Luca F. High-throughput allele-specific expression across 250 environmental conditions. Genome Res. 2016 Dec; 26:1627-1638. PMID: 27934696 Moyerbrailean GA, Kalita CA, Harvey CT, Wen X, Luca F, Pique-Regi R*. Which Genetics Variants in DNase-Seq Footprints Are More Likely to Alter Binding? PLoS Genet. 2016 Feb 22; 12:e1005875. PMID: 26901046 Wen X, Luca F, Pique-Regi R*. Cross-population joint analysis of eQTLs: fine mapping and functional annotation. PLoS Genet. 2015 Apr 23; 11:e1005176. PMID: 25906321 Pique-Regi R*, Degner JF, Pai AA, Gaffney DJ, Gilad Y, Pritchard JK. Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data. Genome Res. 2011 Mar; 21:447-55. PMID: 21106904 GOOGLE SCHOLAR PROFILE