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dc.contributor.author
Pandey, Gayathri
dc.contributor.author
Seay, Michael J.
dc.contributor.author
Meyers, Jacquelyn L.
dc.contributor.author
Chorlian, David B.
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Pandey, Ashwini K.
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Kamarajan, Chella
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Ehrenberg, Morton
dc.contributor.author
Pitti, Daniel
dc.contributor.author
Kinreich, Sivan
dc.contributor.author
Subbie Saenz de Viteri, Stacey
dc.contributor.author
Acion, Laura
dc.contributor.author
Anokhin, Andrey
dc.contributor.author
Bauer, Lance
dc.contributor.author
Chan, Grace
dc.contributor.author
Edenberg, Howard
dc.contributor.author
Hesselbrock, Victor
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Kuperman, Samuel
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McCutcheon, Vivia V.
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Bucholz, Kathleen K.
dc.contributor.author
Schuckit, Marc
dc.contributor.author
Porjesz, Bernice
dc.date.available
2021-10-08T02:16:14Z
dc.date.issued
2020-02
dc.identifier.citation
Pandey, Gayathri; Seay, Michael J.; Meyers, Jacquelyn L.; Chorlian, David B.; Pandey, Ashwini K.; et al.; Density and Dichotomous Family History Measures of Alcohol Use Disorder as Predictors of Behavioral and Neural Phenotypes: A Comparative Study Across Gender and Race/Ethnicity; Wiley Blackwell Publishing, Inc; Alcoholism: Clinical And Experimental Research; 44; 3; 2-2020; 697-710
dc.identifier.issn
0145-6008
dc.identifier.uri
http://hdl.handle.net/11336/143220
dc.description.abstract
Background Family history (FH) is an important risk factor for the development of alcohol use disorder (AUD). A variety of dichotomous and density measures of FH have been used to predict alcohol outcomes; yet, a systematic comparison of these FH measures is lacking. We compared 4 density and 4 commonly used dichotomous FH measures and examined variations by gender and race/ethnicity in their associations with age of onset of regular drinking, parietal P3 amplitude to visual target, and likelihood of developing AUD. Methods Data from the Collaborative Study on the Genetics of Alcoholism (COGA) were utilized to compute the density and dichotomous measures. Only subjects and their family members with DSM-5 AUD diagnostic information obtained through direct interviews using the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) were included in the study. Area under receiver operating characteristic curves were used to compare the diagnostic accuracy of FH measures at classifying DSM-5 AUD diagnosis. Logistic and linear regression models were used to examine associations of FH measures with alcohol outcomes. Results Density measures had greater diagnostic accuracy at classifying AUD diagnosis, whereas dichotomous measures presented diagnostic accuracy closer to random chance. Both dichotomous and density measures were significantly associated with likelihood of AUD, early onset of regular drinking, and low parietal P3 amplitude, but density measures presented consistently more robust associations. Further, variations in these associations were observed such that among males (vs. females) and Whites (vs. Blacks), associations of alcohol outcomes with density (vs. dichotomous) measures were greater in magnitude. Conclusions Density (vs. dichotomous) measures seem to present more robust associations with alcohol outcomes. However, associations of dichotomous and density FH measures with different alcohol outcomes (behavioral vs. neural) varied across gender and race/ethnicity. These findings have great applicability for alcohol research examining FH of AUD.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley Blackwell Publishing, Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ALCOHOL USE DISORDER
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ENDOPHENOTYPE
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FAMILY HISTORY
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P300
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RISK AND DEVELOPMENT
dc.subject.classification
Drogadicción
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Ciencias de la Salud
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Density and Dichotomous Family History Measures of Alcohol Use Disorder as Predictors of Behavioral and Neural Phenotypes: A Comparative Study Across Gender and Race/Ethnicity
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-07T18:28:13Z
dc.journal.volume
44
dc.journal.number
3
dc.journal.pagination
697-710
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Pandey, Gayathri. State University of New York; Estados Unidos
dc.description.fil
Fil: Seay, Michael J.. University of California; Estados Unidos
dc.description.fil
Fil: Meyers, Jacquelyn L.. State University of New York; Estados Unidos
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Fil: Chorlian, David B.. State University of New York; Estados Unidos
dc.description.fil
Fil: Pandey, Ashwini K.. State University of New York; Estados Unidos
dc.description.fil
Fil: Kamarajan, Chella. State University of New York; Estados Unidos
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Fil: Ehrenberg, Morton. State University of New York; Estados Unidos
dc.description.fil
Fil: Pitti, Daniel. State University of New York; Estados Unidos
dc.description.fil
Fil: Kinreich, Sivan. State University of New York; Estados Unidos
dc.description.fil
Fil: Subbie Saenz de Viteri, Stacey. State University of New York; Estados Unidos
dc.description.fil
Fil: Acion, Laura. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. University of Iowa; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
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Fil: Anokhin, Andrey. Washington State University; Estados Unidos
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Fil: Bauer, Lance. University of Connecticut; Estados Unidos
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Fil: Chan, Grace. University of Connecticut; Estados Unidos
dc.description.fil
Fil: Edenberg, Howard. Indiana University. School of Medicine; Estados Unidos
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Fil: Hesselbrock, Victor. University of Connecticut; Estados Unidos
dc.description.fil
Fil: Kuperman, Samuel. University of Iowa; Estados Unidos
dc.description.fil
Fil: McCutcheon, Vivia V.. University of Washington; Estados Unidos
dc.description.fil
Fil: Bucholz, Kathleen K.. University of Washington; Estados Unidos
dc.description.fil
Fil: Schuckit, Marc. University of California at San Diego; Estados Unidos
dc.description.fil
Fil: Porjesz, Bernice. State University of New York; Estados Unidos
dc.journal.title
Alcoholism: Clinical And Experimental Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/acer.14280
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/acer.14280
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