Variable | Regressions of rLRS on the phenotypic variables | Regressions of rLRS on the scores, genotyped individuals only | |||||||||||

All individuals (genotyped and not genotyped) | Genotyped individuals only | ||||||||||||

SE | P | N | β | SE | P | N | Score | SE | P | N | |||

Females | |||||||||||||

BMI | 0.008 | 0.001 | <0.001 | 6,396 | 0.010 | 0.002 | <0.001 | 3,413 | Score of BMI | 0.006 | 0.010 | 0.58 | 3,416 |

EA | −0.057 | 0.003 | <0.001 | 6,403 | −0.055 | 0.004 | <0.001 | 3,410 | Score of EA | −0.033 | 0.010 | 0.002 | 3,416 |

Score of GLU | 0.009 | 0.010 | 0.40 | 3,416 | |||||||||

HGT | −0.006 | 0.001 | <0.001 | 6,411 | −0.009 | 0.002 | <0.001 | 3,416 | Score of HGT | −0.011 | 0.014 | 0.44 | 3,416 |

Score of SCZ | −0.001 | 0.011 | 0.96 | 3,416 | |||||||||

TC | 0.000 | 0.021 | 0.99 | 4,152 | −0.002 | 0.028 | 0.95 | 2,217 | Score of TC | −0.012 | 0.011 | 0.27 | 3,416 |

Score of AAM | 0.018 | 0.011 | 0.08 | 3,416 | |||||||||

Males | |||||||||||||

BMI | 0.006 | 0.002 | <0.001 | 5,431 | 0.010 | 0.003 | <0.001 | 2,571 | Score of BMI | 0.016 | 0.013 | 0.23 | 2,571 |

EA | −0.022 | 0.003 | <0.001 | 5,419 | −0.020 | 0.005 | <0.001 | 2,566 | Score of EA | −0.031 | 0.012 | 0.013 | 2,571 |

Score of GLU | −0.013 | 0.013 | 0.31 | 2,571 | |||||||||

HGT | −0.001 | 0.001 | 0.58 | 5,435 | −0.001 | 0.002 | 0.60 | 2,571 | Score of HGT | −0.005 | 0.018 | 0.78 | 2,571 |

Score of SCZ | 0.009 | 0.013 | 0.53 | 2,571 | |||||||||

TC | −0.027 | 0.026 | 0.290 | 3,078 | −0.020 | 0.036 | 0.58 | 1,441 | Score of TC | −0.003 | 0.013 | 0.80 | 2,571 |

**“**Regression of rLRS on the phenotypic variables” mirrors Table 1 but shows the results both for all individuals (genotyped and not genotyped) and for the genotyped individuals only, and it also reports the*P*values. (The results for all individuals are the same as those reported in Table 1 but with the*P*values.) It shows estimates of the coefficients on the phenotypic variables (and their SEs and*P*values) from separate regressions of rLRS on each phenotypic variable. Each estimate comes from a different regression, and every regression includes birth year dummies and HRS-defined cohort dummies. The HRS does not contain phenotypic variables for GLU, AAM, and SCZ. “Regression of rLRS on the scores” shows the same results as Table 2 but also reports the*P*values. It shows estimates of the coefficients on the polygenic scores (and their SEs and*P*values) from separate regressions of rLRS on the polygenic score of each phenotype. Each estimate comes from a different regression. All regressions included birth year dummies, HRS-defined cohort dummies, and the top 20 principal components of the genetic relatedness matrix. The coefficients can be interpreted as directional selection differentials of the scores, expressed in Haldanes—i.e., each coefficient equals the implied change in the score that will occur due to natural selection in one generation, expressed in SDs of the score.