Table S1.
Summary statistics for the phenotypic variables
Phenotype | Comment | Unit | All individuals (genotyped and not genotyped) | Genotyped individuals only | ||||
N | Mean | SD | N | Mean | SD | |||
Females | ||||||||
Birth year | — | Year | 6,414 | 1,941.21 | 6.41 | 3,416 | 1,941.35 | 6.40 |
LRS | Number of children ever given birth to | Children | 6,414 | 2.57 | 1.63 | 3,416 | 2.58 | 1.58 |
BMI | Mean across waves of female BMI residualized on birth year dummies, plus mean female BMI across all waves and females | BMI points | 6,396 | 27.01 | 5.73 | 3,413 | 27.18 | 5.56 |
EA | — | Years of education | 6,403 | 12.98 | 2.38 | 3,410 | 13.12 | 2.33 |
HGT | Mean across waves of female HGT residualized on birth year dummies, plus mean female HGT across all waves and females | Centimeters | 6,411 | 162.95 | 6.36 | 3,416 | 163.14 | 6.25 |
TC | Indicator variable for a self-reported health problem with high cholesterol in 1992 | 1 = yes | 4,152 | 0.25 | 0.43 | 2,217 | 0.25 | 0.44 |
Childlessness | Indicator variable for a childless individual (LRS = 0) | 1 = childless | 6,414 | 0.10 | 0.31 | 3,416 | 0.10 | 0.31 |
Males | ||||||||
Birth year | — | Year | 5,436 | 1,940.83 | 6.50 | 2,571 | 1,941.07 | 6.50 |
LRS | Number of children ever fathered | Children | 5,435 | 2.45 | 1.60 | 2,571 | 2.47 | 1.57 |
BMI | Mean across waves of male BMI residualized on birth year dummies, plus mean male BMI across all waves and males | BMI points | 5,432 | 27.81 | 4.53 | 2,571 | 27.79 | 4.49 |
EA | — | Years of education | 5,420 | 13.27 | 2.82 | 2,566 | 13.49 | 2.70 |
HGT | Mean across waves of male HGT residualized on birth year dummies, plus mean male HGT across all waves and males | Centimeters | 5,436 | 178.07 | 6.63 | 2,571 | 178.18 | 6.48 |
TC | Indicator variable for a self-reported health problem with high cholesterol in 1992 | 1 = yes | 3,078 | 0.24 | 0.42 | 1,441 | 0.27 | 0.44 |
Childlessness | Indicator variable for a childless individual (LRS = 0) | 1 = childless | 5,435 | 0.12 | 0.32 | 2,571 | 0.11 | 0.31 |
This table shows the summary statistics for the study sample. For the main analyses, I use rLRS, not LRS. The phenotypic variable for TC is an indicator for a self-reported health problem with high cholesterol, and not plasma concentrations of TC as in the GWAS of TC. The HRS does not contain phenotypic variables for GLU, AAM, and SCZ.