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Connection

Michael Stallings to Diseases in Twins

This is a "connection" page, showing publications Michael Stallings has written about Diseases in Twins.

 
Connection Strength
 
 
 
2.587
 
  1. Huggett SB, Keyes M, Iacono WG, McGue M, Corley RP, Hewitt JK, Stallings MC. Age of initiation and transition times to tobacco dependence: Early onset and rapid escalated use increase risk for dependence severity. Drug Alcohol Depend. 2019 09 01; 202:104-110.
    View in: PubMed
    Score: 0.612
  2. Munn-Chernoff MA, McQueen MB, Stetler GL, Haberstick BC, Rhee SH, Sobik LE, Corley RP, Smolen A, Hewitt JK, Stallings MC. Examining associations between disordered eating and serotonin transporter gene polymorphisms. Int J Eat Disord. 2012 May; 45(4):556-61.
    View in: PubMed
    Score: 0.366
  3. Button TM, Hewitt JK, Rhee SH, Corley RP, Stallings MC. The moderating effect of religiosity on the genetic variance of problem alcohol use. Alcohol Clin Exp Res. 2010 Sep 01; 34(9):1619-24.
    View in: PubMed
    Score: 0.327
  4. Button TM, Hewitt JK, Rhee SH, Young SE, Corley RP, Stallings MC. Examination of the causes of covariation between conduct disorder symptoms and vulnerability to drug dependence. Twin Res Hum Genet. 2006 Feb; 9(1):38-45.
    View in: PubMed
    Score: 0.242
  5. Rhee SH, Hewitt JK, Young SE, Corley RP, Crowley TJ, Stallings MC. Genetic and environmental influences on substance initiation, use, and problem use in adolescents. Arch Gen Psychiatry. 2003 Dec; 60(12):1256-64.
    View in: PubMed
    Score: 0.208
  6. Stallings MC, Hewitt JK, Beresford T, Heath AC, Eaves LJ. A twin study of drinking and smoking onset and latencies from first use to regular use. Behav Genet. 1999 Nov; 29(6):409-21.
    View in: PubMed
    Score: 0.157
  7. Huggett SB, Hatoum AS, Hewitt JK, Stallings MC. The Speed of Progression to Tobacco and Alcohol Dependence: A Twin Study. Behav Genet. 2018 03; 48(2):109-124.
    View in: PubMed
    Score: 0.139
  8. Huibregtse BM, Corley RP, Wadsworth SJ, Vandever JM, DeFries JC, Stallings MC. A Longitudinal Adoption Study of Substance Use Behavior in Adolescence. Twin Res Hum Genet. 2016 08; 19(4):330-40.
    View in: PubMed
    Score: 0.123
  9. Haberstick BC, Zeiger JS, Corley RP, Hopfer CJ, Stallings MC, Rhee SH, Hewitt JK. Common and drug-specific genetic influences on subjective effects to alcohol, tobacco and marijuana use. Addiction. 2011 Jan; 106(1):215-24.
    View in: PubMed
    Score: 0.084
  10. Gelhorn H, Hartman C, Sakai J, Mikulich-Gilbertson S, Stallings M, Young S, Rhee S, Corley R, Hewitt J, Hopfer C, Crowley T. An item response theory analysis of DSM-IV conduct disorder. J Am Acad Child Adolesc Psychiatry. 2009 Jan; 48(1):42-50.
    View in: PubMed
    Score: 0.074
  11. Button TM, Stallings MC, Rhee SH, Corley RP, Boardman JD, Hewitt JK. Perceived peer delinquency and the genetic predisposition for substance dependence vulnerability. Drug Alcohol Depend. 2009 Feb 01; 100(1-2):1-8.
    View in: PubMed
    Score: 0.073
  12. Gelhorn H, Stallings M, Young S, Corley R, Rhee SH, Christian H, Hewitt J. Common and specific genetic influences on aggressive and nonaggressive conduct disorder domains. J Am Acad Child Adolesc Psychiatry. 2006 May; 45(5):570-577.
    View in: PubMed
    Score: 0.061
  13. Siewert EA, Stallings MC, Hewitt JK. Factor structure and concurrent validity of the Drug Use Screening Inventory in a community adolescent sample. Addict Behav. 2004 May; 29(3):627-38.
    View in: PubMed
    Score: 0.053
  14. Siewert EA, Stallings MC, Hewitt JK. Genetic and environmental analysis of behavioral risk factors for adolescent drug use in a community twin sample. Twin Res. 2003 Dec; 6(6):490-6.
    View in: PubMed
    Score: 0.052
  15. Hopfer CJ, Lessem JM, Hartman CA, Stallings MC, Cherny SS, Corley RP, Hewitt JK, Krauter KS, Mikulich-Gilbertson SK, Rhee SH, Smolen A, Young SE, Crowley TJ. A genome-wide scan for loci influencing adolescent cannabis dependence symptoms: evidence for linkage on chromosomes 3 and 9. Drug Alcohol Depend. 2007 Jun 15; 89(1):34-41.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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