Colorado PROFILES, The Colorado Clinical and Translational Sciences Institute (CCTSI)
Keywords
Last Name
Institution

Contact Us
If you have any questions or feedback please contact us.

Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Marissa Ehringer and Joseph Sakai.

 
Connection Strength
 
 
 
0.961
 
  1. Sakai JT, Crowley TJ, Stallings MC, McQueen M, Hewitt JK, Hopfer C, Hoft NR, Ehringer MA. Test of association between 10 single nucleotide polymorphisms in the oxytocin receptor gene and conduct disorder. Psychiatr Genet. 2012 Apr; 22(2):99-102.
    View in: PubMed
    Score: 0.416
  2. Sakai JT, Stallings MC, Crowley TJ, Gelhorn HL, McQueen MB, Ehringer MA. Test of association between GABRA2 (SNP rs279871) and adolescent conduct/alcohol use disorders utilizing a sample of clinic referred youth with serious substance and conduct problems, controls and available first degree relatives. Drug Alcohol Depend. 2010 Jan 15; 106(2-3):199-203.
    View in: PubMed
    Score: 0.350
  3. Melroy WE, Stephens SH, Sakai JT, Kamens HM, McQueen MB, Corley RP, Stallings MC, Hopfer CJ, Krauter KS, Brown SA, Hewitt JK, Ehringer MA. Examination of genetic variation in GABRA2 with conduct disorder and alcohol abuse and dependence in a longitudinal study. Behav Genet. 2014 Jul; 44(4):356-67.
    View in: PubMed
    Score: 0.120
  4. Sakai JT, Lessem JM, Haberstick BC, Hopfer CJ, Smolen A, Ehringer MA, Timberlake D, Hewitt JK. Case-control and within-family tests for association between 5HTTLPR and conduct problems in a longitudinal adolescent sample. Psychiatr Genet. 2007 Aug; 17(4):207-14.
    View in: PubMed
    Score: 0.075
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.

Copyright © 2024 The Regents of the University of Colorado, a body corporate. All rights reserved. (Harvard PROFILES RNS software version: 2.11.1)