Astral Codex Ten Podcast Highlights From The Comments On Missing Heritability
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Jul 7, 2025 Dive into the fascinating world of gene-environment interactions and their role in estimating heritability, especially in socioeconomic contexts. Discover the advantages of long-read sequencing technologies and how they surpass traditional methods. Explore how genetics intertwine with behaviors like BMI and crime, laden with biases and complexities. Reflect on the evolution of the nature versus nurture debate, enriched by personal stories and historical insights. This discussion truly sheds light on the intricacies of genetics and its societal implications!
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GxE Interactions Explain Missing Heritability
- Gene-environment (GxE) interactions may explain much of the missing heritability gap in twin vs. molecular studies.
- Twin studies count some GxE as genetic, but molecular GWAS models count these as environmental effects, creating discrepancies.
Polygenic Scores Risk Stratification Bias
- Applying polygenic scores trained in one ancestry population to others can create misleading claims about innate abilities.
- Population stratification and genetic architecture differences distort cross-ancestry polygenic score predictions.
Complexity Behind Gene-Trait Relations
- Complex gene-to-trait relationships resemble complicated computer code rather than simple linear effects.
- Evidence of minimal non-linear interaction effects comes from simplistic models missing vast genetic complexity.