Genetic Associations with Mathematics Tracking and Persistence in Secondary School
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Study (n=3000): High polygenic scores boost advanced math placement + persistence. Top 2% score students still underenroll in highest math. SES advantaged schools 2x better at supporting both high/low score students.
new working paper published in a journal affiliated with Cold Spring's Harbor Lab suggests a polygenic score can help predict who gets across the finish line in college.
"....Maximizing the flow of students through the science, technology, engineering, and math (STEM) pipeline is important to promoting human capital development and reducing economic inequality1. A critical juncture in the STEM pipeline is the highly-cumulative sequence of secondary school math courses2-5. Students from disadvantaged schools are less likely to complete advanced math courses, but debate continues about why6,7. Here, we address this question using student polygenic scores, which are DNA-based indicators of propensity to succeed in education8. We integrated genetic and official school transcript data from over 3,000 European-ancestry students from U.S. high schools. We used polygenic scores as a molecular tracer to understand how the flow of students through the high school math pipeline differs in socioeconomically advantaged versus disadvantaged schools. Students with higher education polygenic scores were tracked to more advanced math already at the beginning of high school and persisted in math for more years. Molecular tracer analyses revealed that the dynamics of the math pipeline differed by school advantage. Compared to disadvantaged schools, advantaged schools tracked more students with high polygenic scores into advanced math classes at the start of high school, and they buffered students with low polygenic scores from dropping out of math. Across all schools, even students with exceptional polygenic scores (top 2%) were unlikely to take the most advanced math classes, suggesting substantial room for improvement in the development of potential STEM talent.These results link new molecular genetic discoveries to a common target of educational-policy reforms.
K. Paige Harden, Benjamin Domingue, Daniel Belsky, Jason Boardman, Robert Crosnoe, Margherita Malanchini, Michel Nivard, Elliot Tucker-Drob, Kathleen Mullan Harris, "Genetic Associations with Mathematics Tracking and Persistence in Secondary School,"bioRxiv, April 5, 2019, https://www.biorxiv.org/content/biorxiv/early/2019/04/05/598532.full.pdf



