Rafael Guerrero
Bio
PhD Biology University of Texas at Austin 2013
Area(s) of Expertise
Computational Evolutionary Genetics
Publications
- A polygenic growth score and risk for large for gestational age birth weight , Journal of the Endocrine Society (2026)
- Network ontology transcript annotation identifies genetic signals underlying sex determination , Scientific Reports (2026)
- Predictive Factors for Hypertensive Disorders of Pregnancy in a Pregnancy Cohort at Risk for Gestational Diabetes , Proceedings of IMPRS (2026)
- The geometry of dominance shows broad potential for stable polymorphism under antagonistic pleiotropy , bioRxiv (Cold Spring Harbor Laboratory) (2026)
- A network perspective on the evolution of hybrid incompatibilities , bioRxiv (Cold Spring Harbor Laboratory) (2025)
- Diabetes polygenic risk scores and maternal characteristics in Hoosier Moms Cohort participants , Pregnancy (2025)
- Fetal Polygenic Growth Score and Risk for Large for Gestational Age Birth Weight in Nulliparas: Secondary Analysis of a Prospective Cohort Study , medRxiv (2025)
- Generalisability of Maternal Genetic Risk Score for Birth Weight Across Racial Identity and Ancestry: A Secondary Analysis of a Prospective Cohort Study , BJOG An International Journal of Obstetrics & Gynaecology (2025)
- Genetic associations with placental and pregnancy proteins in maternal serum identify biomarkers for hypertension in pregnancy , American Journal of Obstetrics and Gynecology (2025)
- Gonadal Transcriptome Differences Between the Sexes in Wild Caught Southern Flounder ( Paralichthys lethostigma) During a Critical Development Period , bioRxiv (Cold Spring Harbor Laboratory) (2025)
Grants
Understanding the forces that drive structural changes in the genome remains a key challenge in genetics and evolutionary biology. Since the earliest days of genetics, scientists have understood the vast implications that structural variation has on phenotypes. Chromosomal variation is ubiquitous across nature. It has been shown to play a role in several biological processes and is associated with multiple traits, including number of offspring, disease states, and the regulation of gene expression. Yet, despite this ubiquity and importance, several longstanding questions about the evolution of structural variation remain unanswered. Over the next five years, my lab will advance two parallel and complementary research lines that focus on two major features of the genomic landscape: chromosome inversions and sex chromosomes. First, my group will investigate the evolutionary forces maintaining inversions and the specific mutations within inversions that underlie important phenotypes. To this end, I will create and deploy a full-featured open-source software package that simulates whole chromosomes that carry polymorphic inversions and use it to quantify evolutionary forces acting on inversions in the malaria mosquito Anopheles gambiae. This proposed computational infrastructure will deepen our understanding of the biology of inversions and their role in processes like adaptation and speciation, and will motivate further work by allowing the rapid simulation of genome-scale data with chromosomal variation. A second research line uses comparative and population genomics to test theoretical predictions on the evolution of sex chromosomes, perhaps the most dynamically evolving region of the genome. I will focus on two independently evolved sex-chromosome systems in Solanum (a speciose plant genus of agricultural importance and considerable genomic resources), to study the mode and tempo of sex chromosome divergence. I will produce chromosome-level genome assemblies for two dioecious species (i.e., those with separate male and female individuals), characterize their sex chromosomes, and use a comparative approach to test for gene movement on and off the sex chromosomes. Further, I will search for two key features of the sex-linked regions predicted by theoretical models: an enrichment of sex-biased gene expression and an accumulation of sexually antagonistic polymorphism. My research will leverage the benefits of working with evolutionarily recent sex-chromosome systems, gaining a unique perspective on the origin of sex and the dynamics of sex-linked genomic regions, and learning about the conditions that affect the evolution of recombination suppression, subsequent sex-chromosome divergence, and potential degeneration. By developing computational tools necessary for genomic analysis and by testing core hypotheses of the evolution of large genomic features, this research program will make important strides in our understanding of how and why the structure of the genome evolves.