Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2007 1
2008 2
2009 1
2010 1
2024 0

Text availability

Article attribute

Article type

Publication date

Search Results

4 results

Results by year

Filters applied: . Clear all
Page 1
Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) sample.
Agrawal A, Hinrichs AL, Dunn G, Bertelsen S, Dick DM, Saccone SF, Saccone NL, Grucza RA, Wang JC, Cloninger CR, Edenberg HJ, Foroud T, Hesselbrock V, Kramer J, Bucholz KK, Kuperman S, Nurnberger JI Jr, Porjesz B, Schuckit MA, Goate AM, Bierut LJ. Agrawal A, et al. Drug Alcohol Depend. 2008 Jan 11;93(1-2):12-20. doi: 10.1016/j.drugalcdep.2007.08.015. Epub 2007 Oct 17. Drug Alcohol Depend. 2008. PMID: 17942244 Free PMC article.
The Gene, Environment Association Studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions.
Cornelis MC, Agrawal A, Cole JW, Hansel NN, Barnes KC, Beaty TH, Bennett SN, Bierut LJ, Boerwinkle E, Doheny KF, Feenstra B, Feingold E, Fornage M, Haiman CA, Harris EL, Hayes MG, Heit JA, Hu FB, Kang JH, Laurie CC, Ling H, Manolio TA, Marazita ML, Mathias RA, Mirel DB, Paschall J, Pasquale LR, Pugh EW, Rice JP, Udren J, van Dam RM, Wang X, Wiggs JL, Williams K, Yu K; GENEVA Consortium. Cornelis MC, et al. Genet Epidemiol. 2010 May;34(4):364-72. doi: 10.1002/gepi.20492. Genet Epidemiol. 2010. PMID: 20091798 Free PMC article.