title: Clinical features of registry-ascertained alcohol use disorders that reflect familial risk.
abstract: Alcohol Use Disorder (AUD) is clinically heterogeneous. Using a large epidemiological sample ascertained via public registries, is it possible to identify clinical and historical features of AUD that reflect familial risk?
  
  
  
  Using registration in national medical, legal or pharmacy registries, we identified four kinds of relative pairs (n=683,223) starting with a proband with AUD: cousins, half-siblings, full-siblings and monozygotic cotwins. Using linear hazard regression, we examined the interaction between five clinical/historical features of AUD in the proband and risk for AUD in these relatives.
  
  
  
  Increased risk for AUD in relatives was predicted by the proband's early age at first registration, total number of registrations, recurrence, history of drug abuse and ascertainment in the medical versus the legal or pharmacy registry. In multivariate models, age at first registration, number of registrations, recurrence and history of drug abuse remained significant and in aggregate strongly predicted the risk for AUD in relatives. The risk for AUD in siblings of AUD probands in the highest decile of genetic risk predicted by these four indices was more than twice as great as that predicted in siblings of probands in the lowest risk decile.
  
  
  
  In an epidemiological sample, familial risk for AUD can be assessed by simple clinical and historical variables.
authors.affiliation: Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond VA, USA; Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: Kenneth.Kendler@vcuhealth.org.
authors.forename: Kenneth S
authors.initials: KS
authors.lastname: Kendler
authors.affiliation: Center for Primary Health Care Research, Lund University, Malmö, Sweden. Electronic address: Henrik.Ohlsson@med.lu.se.
authors.forename: Henrik
authors.initials: H
authors.lastname: Ohlsson
authors.affiliation: Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond VA, USA. Electronic address: Alexis.Edwards@vcuhealth.org.
authors.forename: Alexis C
authors.initials: AC
authors.lastname: Edwards
authors.affiliation: Alcohol Research Group, Public Health Institute, Emeryville, CA, USA. Electronic address: KKarrikerjaffe@arg.org.
authors.forename: Katherine J
authors.initials: KJ
authors.lastname: Karriker-Jaffe
authors.affiliation: Center for Primary Health Care Research, Lund University, Malmö, Sweden. Electronic address: Jan.Sundquist@med.lu.se.
authors.forename: Jan
authors.initials: J
authors.lastname: Sundquist
authors.affiliation: Center for Primary Health Care Research, Lund University, Malmö, Sweden. Electronic address: Kristina.Sundquist@med.lu.se.
authors.forename: Kristina
authors.initials: K
authors.lastname: Sundquist
mesh_terms: D000328:Adult; D017668:Age of Onset; D019973:Alcohol-Related Disorders / Q000175:diagnosis* / Q000453:epidemiology* / Q000235:genetics*; D003430:Cross-Sectional Studies; D004200:Diseases in Twins / Q000175:diagnosis / Q000453:epidemiology* / Q000235:genetics*; D005260:Female; D005838:Genotype; D006801:Humans; D008297:Male; D008875:Middle Aged; D012042:Registries; D012306:Risk; D013548:Sweden; D014430:Twins, Monozygotic / Q000235:genetics / Q000706:statistics & numerical data
keywords: Age at onset; Alcohol use disorder; Familial risk; Number of registrations