A cost-benefit analysis of the marginal cost of IVF-based embryo selection for intelligence and other traits with 2016–2017 state-of-the-art
With genetic predictors of a phenotypic trait, it is possible to select embryos during an in vitro fertilization process to increase or decrease that trait. Extending the work of Shulman & Bostrom2014/Hsu2014, I consider the case of human intelligence using SNP-based genetic prediction, finding:
a meta-analysis of GCTA results indicates that SNPs can explain >33% of variance in current intelligence scores, and >44% with better-quality phenotype testing
this sets an upper bound on the effectiveness of SNP-based selection: a gain of 9 IQ points when selecting the top embryo out of 10
the best 2016 polygenic score could achieve a gain of ~3 IQ points when selecting out of 10
the marginal cost of embryo selection (assuming IVF is already being done) is modest, at $1,875.95$1,5002016 + $250.13$2002016 per embryo, with the sequencing cost projected to drop rapidly
a model of the IVF process, incorporating number of extracted eggs, losses to abnormalities & vitrification & failed implantation & miscarriages from 2 real IVF patient populations, estimates feasible gains of 0.39 & 0.68 IQ points
embryo selection is currently unprofitable (mean: −$447.73$3582016) in the USA under the lowest estimate of the value of an IQ point, but profitable under the highest (mean: $7,791.44$6,2302016). The main constraints on selection profitability is the polygenic score; under the highest value, the NPVEVPI of a perfect SNP predictor is $30.02$242016b and the EVSI per education/SNP sample is $88.79$712016k
under the worst-case estimate, selection can be made profitable with a better polygenic score, which would require n > 237,300 using education phenotype data (and much less using fluid intelligence measures)
selection can be made more effective by selecting on multiple phenotype traits: considering an example using 7 traits (IQ/height/BMI/diabetes/ADHD/bipolar/schizophrenia), there is a factor gain over IQ alone; the outperformance of multiple selection remains after adjusting for genetic correlations & polygenic scores and using a broader set of 16 traits.