Intelligence, Journal Year: 2024, Volume and Issue: 107, P. 101871 - 101871
Published: Oct. 19, 2024
Language: Английский
Intelligence, Journal Year: 2024, Volume and Issue: 107, P. 101871 - 101871
Published: Oct. 19, 2024
Language: Английский
Behavior Genetics, Journal Year: 2023, Volume and Issue: 54(1), P. 34 - 41
Published: Oct. 6, 2023
Abstract Polygenic scores (PGS) are increasingly being used for prediction of social and behavioral traits, but suffer from many methodological, theoretical, ethical concerns that profoundly limit their value. Primarily, these derived statistical correlations, carrying no inherent biological meaning, thus may capture indirect effects. Further, the performance depends upon diversity reference populations genomic panels which they were derived, consistently underrepresent minoritized populations, leading to poor fit when applied diverse groups. There is also danger eugenic applications information gained scores, general risk misunderstandings could lead stigmatization underrepresented We urge extreme caution in use PGS particularly social/behavioral outcomes fraught misinterpretation, with potential harm groups least likely benefit use.
Language: Английский
Citations
7Current topics in behavioral neurosciences, Journal Year: 2024, Volume and Issue: unknown, P. 87 - 105
Published: Jan. 1, 2024
Language: Английский
Citations
2Sociological Methodology, Journal Year: 2024, Volume and Issue: 54(2), P. 300 - 350
Published: March 21, 2024
Polygenic indices (PGI)-the new recommended label for polygenic scores (PGS) in social science-are genetic summary scales often used to represent an individual's liability a disease, trait, or behavior based on the additive effects of measured variants. Enthusiasm linking data with outcomes and inclusion premade PGIs science datasets have facilitated increased uptake research-a trend that will likely continue. Yet, most scientists lack expertise interpret evaluate research. Here, we provide primer focusing key concepts, unique statistical considerations, best practices calculation, estimation, reporting, interpretation. We summarize our as checklist aid evaluating interpreting studies PGIs. conclude by discussing similarities between standard interpretative considerations.
Language: Английский
Citations
2Educational Psychology Review, Journal Year: 2024, Volume and Issue: 36(4)
Published: Sept. 2, 2024
Abstract Recent advances in genomics make it possible to predict individual differences education from polygenic scores that are person-specific aggregates of inherited DNA differences. Here, we systematically reviewed and meta-analyzed the strength these DNA-based predictions for educational attainment (e.g., years spent full-time education) achievement school grades). For ( k = 20, n 16, N total 314,757), a multilevel meta-analysis showed an association with ρ .27 (95% CI .22 .32). 19, 10, 83,788), was .24 .18 .30). Eurocentric biases were evident only 15% estimates being reported samples non-European ancestry. After accounting sample ancestry, age at assessment, measure, meta-analytic increased .29 .33) .50 .39 .61) achievement, indicative large effect sizes. All associated significant heterogeneity. Our findings suggest sizeable but vary across studies. We outline three steps safeguard potential applications score maximize their benefits personalizing learning, while minimizing bioethical risks perpetuating social, cultural, economic inequalities.
Language: Английский
Citations
2Intelligence, Journal Year: 2024, Volume and Issue: 107, P. 101871 - 101871
Published: Oct. 19, 2024
Language: Английский
Citations
2