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*Date of birth (or year, or range)
 
*Date of birth (or year, or range)
 
*Cohort
 
*Cohort
*Height, weight, BMI, for drinking (a single beer has different effects on a 200 lb man versus a 100 lb woman)
   
*Genetic principle components (alternatively could use empirical kinships in rare-metal-worker)
 
*Genetic principle components (alternatively could use empirical kinships in rare-metal-worker)
 
*Adolescence versus adulthood (e.g., < 21 years of age versus >=21)
 
*Adolescence versus adulthood (e.g., < 21 years of age versus >=21)
 
*Date of assessment (e.g., the calendar year of the assessment)?
 
*Date of assessment (e.g., the calendar year of the assessment)?
*Current versus former smoker/drinker?
+
*Current versus former smoker for smoking phenotypes. This would be a binary covariate.
 +
*Current versus former drinker for drinking phenotypes. This would be a binary covariate.
 +
*For the drinking phenotype, consider Height, weight, and/or BMI (the idea is that a similar amount of alcohol has different effects on a 200 lb person versus a 100 lb person)
    
=== Interactions ===
 
=== Interactions ===
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