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The overall genotype call rate was 95.5% and when possible, missing data (mostly due to missing DNA samples) were inferred from the genotypes of parents/offspring.
A further 2,036 were excluded due to missing data, mostly socioeconomic status.
Not all mother-offspring pairs were included in analyses because of missing data, mostly outcome data.
All other items had fewer missing data, mostly between 0 and 4 among both mothers and fathers.
The number of participants was somewhat smaller (n = 704) for this analysis due to missing data (mostly BMI measurements).
Missing data mostly ranged from n = 1 to 7 and was greatest for participant reported doctor's age n = 249 and participant use of strategies for taking their medications n = 252.
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The success of such a simple algorithm suggests that the data set as a whole is substantially redundant, and that the missing data are mostly well-determined by data from related experiments.
Children with missing data (n=161; mostly missing data on BP) were also excluded.
Complementary sensitivity analyses with multiple imputation enabled us to handle missing data, due mostly to attrition.
These missing data points have mostly been replaced with estimated genotypes through statistical imputation.
Given the design of the trial, it is anticipated that missing data will be mostly negligible.
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