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K. H. Ackermann , N. Adams , C. Adler , Z. Ahammed , S. Ahmad , C. Allgower , . . . A. N. Zubarev (2001). Elliptic flow in Au + Au collisions at square root(S)NN = 130 GeV. Physical Review Letters, 86, 402–407.
A. N. Agrawal , D. Freedman , Y. C. Cheng , P. Lin , J. R. Shaffer , Q. Sun , . . . GENEVA Consortium. (2012). Measuring alcohol consumption for genomic meta-analyses of alcohol intake: Opportunities and challenges. American Journal of Clinical Nutrition, 95, 539–547.
A. J. Agrawal , D. Grant , A. Littlefield , M. Waldron , M. L. Pergadia , M. T. Lynskey , . . . A. C. Heath (2009). Developing a quantitative measure of alcohol consumption for genomic studies on prospective cohorts. Journal of Studies on Alcohol and Drugs, 70, 157–168.
A. Anastasi (1950). The concept of validity in the interpretation of test scores. Journal of Psychology and Educational Measures, 10, 67–78.
A. Angold , A. Erkanli , E. M. Farmer , J. A. Fairbank , B. J. Burns , G. Keeler , & E. J. Costello (2002). Psychiatric disorder, impairment, and service use in rural African American and White youth. Archives of General Psychiatry, 59, 893–901.
G. W. Beecham , E. R. Martin , Y.-J. Li , M. A. Slifer , J. R. Gilbert , J. L. Haines , & M. A. Pericak-Vance (2009). Genome-wide association study implicates a chromosome 12 risk locus for late-onset Alzheimer disease. American Journal of Human Genetics, 84, 36–43.
M. A. Black (2004). A note on the adaptive control of false discovery rates. J. R. Statist. Soc. B, 66 (2), 297–304.
E. B. Bookman , K. McAllister , E. Gillanders , K. Wanke , D. Balshaw , J. Rutter , . . . L. S. Birnbaum , for the NIH G × E Interplay Workshop participants. (2011). Gene-environment interplay in common complex diseases: Forging an integrative model-recommendations from an NIH workshop. Genetic Epidemiology, doi:10.1002/gepi.20571 (Epub ahead of print).
K. A. Borden , R. T. Brown , P. Jenkins , & S. R. Clingerman (1987). Achievement attributions and depressive symptoms in attention deficit disordered and normal children. Journal of School Psychology, 25, 399–404.
B. J. Casey , C. E. Glatt , N. Tottenham , F. Soliman , K. Bath , D. Amso , . . . F. S. Lee (2009). Brain-derived neurotrophic factor as a model system for examining gene by environment interactions across development. Neuroscience, 164, 108–120.
M. C. Chiang , K. L. McMahon , G. I. de Zubicaray , N. G. Martin , I. Hickie , A. W. Toga , . . . P. M. Thompson (2011). Genetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29. Neuroimage, 54, 2308–2317.
S. W. Cole , J. M. Arevalo , K. Manu , E. H. Telzer , L. Kiang , J. E. Bower , . . . A. J. Fuligni (2011). Antagonistic pleiotropy at the human IL6 promoter confers genetic resilience to the pro-inflammatory effects of adverse social conditions in adolescence. Developmental Psychology, 47, 1173–1180.
M. C. Cornelis , A. Agrawal , J. W. Cole , N. N. Hansel , K. C. Barnes , T. H. Beaty , . . . GENEVA Consortium. (2010). The Gene, Environment Association Studies consortium (GENEVA): Maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions. Genetic Epidemiology, 34, 364–372.
E. J. Costello , A. Angold , B. J. Burns , D. K. Stangl , D. L. Tweed , A. Erkanli , & C. M. Worthman (1996). The Great Smoky Mountains Study of Youth: Goals, designs, methods, and the prevalence of DSM-III-R disorders. Archives of General Psychiatry, 53, 1129–1136.
J. Derringer , R. F. Krueger , M. McGue , & W. G. Iacono (2008). Genetic and environmental contributions to the diversity of substances used in adolescent twins: a longitudinal study of age and sex effects. Addiction, 103, 1744–1751.
E. Costello , E. Farmer , A. Angold , B. J. Burns , & A. Erkanli (1997). Psychiatric disorders among American Indian and White youth in Appalachia: The Great Smoky Mountains Study. American Journal of Public Health, 87, 827–832.
G. Di Chiara , & A. Imperato (1988). Drugs abused by humans preferentially increase synaptic dopamine concentrations in the mesolimbic system of freely moving rats. Proceedings of the National Academy of Sciences USA, 85, 5274–5278.
W. P. Dunlap , J. M. Cortina , J. B. Vaslow , & M. J. Burke (1996). Meta-analysis of experiments with matched groups or repeated measures designs. Psychological Methods, 1, 170–177.
D. M. Dick (2011). Developmental changes in genetic influences on alcohol use and dependence. Child Development Perspectives, 5, 223–230.
D. Fergusson , & L. Horwood (2001). The Christchurch health and development study: Review of findings on child and adolescent mental health. Australian and New Zealand Journal of Psychiatry, 35, 287–296.
R. Fernando , D. Nettleton , B. R. Southey , J. C. M. Dekkers , M. F. Rothschild , & M. Soller (2004). Controlling the proportion of false positives in multiple dependent tests. Genetics, 166, 611–619.
I. Fortier , D. Doiron , J. Little , V. Ferretti , F. L'Heureux , R. P. Stolk , . . . International Harmonization Initiative. (2011). Is rigorous retrospective harmonization possible? Application of the DataSHaPER approach across 53 large studies. International Journal of Epidemiology, 40, 1314–1328.
A. Gnirke , A. Melnikov , J. Maguire , P. Rogov , E. M. LeProust , W. Brockman , . . . C. Nusbaum (2009). Solution hybrid selection with ultra-long oligonucleotides for massively parallel-targeted sequencing. Nature Biotechnology, 27, 182–189.
J. D. Grant , A. Agrawal , K. K. Bucholz , P. A. F. Madden , M. L. Pergadia , . . . A. C. Heath (2009). Alcohol consumption indices of genetic risk for alcohol dependence. Biological Psychiatry, 66, 795–800.
M. Kanehisa , & S. Goto (2000). KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Research, 28, 27–30.
M. Kanehisa , S. Goto , Y. Sato , M. Furumichi , & M. Tanabe (2011). KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Research, 40, D109–D114.
K. Karg , M. Burmeister , K. Shedden , & S. Sen (2011). The serotonin transporter promoter variant (5-HTTLPR), stress, and depression meta-analysis revisited: Evidence of genetic moderation. Archives of General Psychiatry, 68, 444–454.
M. J. Khoury , & S. Wacholder (2009). Invited commentary: From genome-wide association studies to gene-environment-wide interaction studies – Challenges and opportunities. American Journal of Epidemiology, 169, 227–230; discussion 234–225.
E. Korn , J. Troendle , L. M. McShane , & R. Simon (2004). Controlling the number of false discoveries: Application to high-dimensional genomic data. Journal of Statistical Planning and Inference, 124, 379–398.
E. S. Lander , L. M. Linton , B. Birren , C. Nusbaum , M. C. Zody , J. Baldwin , . . . International Human Genome Sequencing Consortium. (2001). Initial sequencing and analysis of the human genome. Nature, 409, 860–921.
P. H. Lee , C. O'Dushlaine , B. Thomas , & S. M. Purcell (2012). INRICH: Interval-based enrichment analysis for genome-wide association studies. Bioinformatics, 28, 1797–1799.
S.-F. Lei , T.-L. Yang , L.-J. Tan , X.-D. Chen , Y. Guo , Y.-F. Guo , . . . H.-W. Deng (2009). Genome-wide association scan for stature in Chinese: evidence for ethnic specific loci. Human Genetics, 125 (1), 1–9.
J. Le Merrer , J. A. Becker , K. Befort , & B. L. Kieffer (2009). Reward processing by the opioid system in the brain. Physiological Reviews, 89, 1379–1412.
J. Liu , Z. Zhang , M. Bando , T. Itoh , M. A. Deardorff , D. Clark , . . . I. D. Krantz (2009). Transcriptional dysregulation in NIPBL and cohesin mutant human cells. PLoS Biol, 7 (5): e1000119. doi:10.1371/journal.pbio.1000119
R. K. Lenroot , & J. N. Giedd (2011). Annual research review: Developmental considerations of gene by environment interactions. Journal of Child Psychology and Psychiatry, 52, 429–441.
J. Z. Liu , A. F. McRae , D. R. Nyholt , S. E. Medland , N. R. Wray , K. M. Brown , . . . S. Macgregor (2010a). A versatile gene-based test for genome-wide association studies. The American Journal of Human Genetics, 87, 139–145.
J. Z. Liu , F. Tozzi , D. M. Waterworth , S. G. Pillai , P. Muglia , L. Middleton , . . . J. Marchini (2010b). Meta-analysis and imputation refines the association of 15q25 with smoking quantity. Nature Genetics, 42, 436–440.
J. A. Luan , M. Y. Wong , N. E. Day , & N. J. Wareham (2001). Sample size determination for studies of gene-environment interaction. International Journal of Epidemiology, 30, 1035.
M. D. Mailman , M. Feolo , Y. Jin , M. Kimura , K. Tryka , R. Bagoutdinov , . . . S. T. Sherry (2007). The NCBI dbGaP database of genotypes and phenotypes. Nature Genetics, 39, 1181–1186.
K. J. McKernan , H. E. Peckham , G. L. Costa , S. F. McLaughlin , Y. Fu , E. F. Tsung , . . . A. P. Blanchard (2009). Sequence and structural variation in a human genome uncovered by short-read, massively parallel ligation sequencing using two-base encoding. Genome Research, 19, 1527–1541.
T. E. Moffitt , A. Caspi , & M. Rutter (2005). Strategy for investigating interactions between measured genes and measured environments. Archives of General Psychiatry, 62, 473–481.
B. M. Neale , & P. C. Sham (2004). The future of association studies: Gene-based analysis and replication. American Journal of Human Genetics, 75, 353–362.
S. B. Ng , E. H. Turner , P. D. Robertson , S. D. Flygare , A. W. Bigham , C Lee , . . . J. Shendure (2009). Targeted capture and massively parallel sequencing of 12 human exomes. Nature, 461, 272–276.
J. L. Pagan , R. J. Rose , R. J. Viken , L. Pulkkinen , J. Kaprio , & D. M. Dick (2006). Genetic and environmental influences on stages of alcohol use across adolescence and into young adulthood. Behavior Genetics, 36, 483–497.
A. L. Price , J. Butler , N. Patterson , C. Capelli , V. L. Pascali , F. Scarnicci , . . . J. N. Hirschhorn (2008). Discerning the ancestry of European Americans in genetic association studies. PLoS Genetics, 4, e236.
R. J. Rose , & D. M. Dick (2010). Commentary on Agrawal et al. (2010): Social environments modulate alcohol use. Addiction, 105, 1854–1855.
G. Schumann , L. J. Coin , A. Lourdusamy , P. Charoen , K. H. Berger , D. Stacey , . . . P. Ellioty (2011). Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption. Proceedings of the National Academy of Sciences, USA, 108, 7119–7124.
E. Simonoff , A. Pickles , J. M. Meyer , J. L. Silberg , H. H. Maes , R. Loeber , . . . L. J. Eaves (1997). The Virginia Twin Study of adolescent behavioral development: Influences of age, sex and impairment on rates of disorder. Archives of General Psychiatry, 54, 801–808.
A. M. Smith , L. E. Heisler , St R. P. Onge , E. Farias-Hesson , I. M. Wallace , J. Bodeau , . . . C. Nislow (2010). Highly multiplexed barcode sequencing: An efficient method for parallel analysis of pooled samples. Nucleic Acids Research, 38, e142.
M. Solinas , S. Yasar , & S. R. Goldberg (2007). Endocannabinoid system involvement in brain reward processes related to drug abuse. Pharmacological Research, 56, 393–405.
J. Storey (2003). The positive false discovery rate: A Bayesian interpretation and the q-value. Annals of Statistics, 31, 2013–2035.
P. F. Sullivan , L. J. Eaves , K. S. Kendler , & M. C. Neale (2001). Genetic case-control association studies in neuropsychiatry. Archives of General Psychiatry, 58, 1015–1024.
M. Sung , A. AErkanli , A. Angold , & E. J. Costello (2004). Effects of age at first substance use and psychiatric comorbidity on the development of substance use disorders. Drug and Alcohol Dependence, 75, 287–299.
R. E. Tarter , & M. Vanyukov (1994). Alcoholism: A developmental disorder. Journal of Consulting and Clinical Psychology, 62 (6), 1096–1107.
D. Thomas (2010). Gene–environment-wide association studies: Emerging approaches. Nature Reviews Genetics, 11, 259–272.
T. E. Thorgeirsson , D. F. Gudbjartsson , I. Surakka , J. M. Vink , N. Amin , F. Geller , . . . K. Stefansson (2010). Sequence variants at CHRNB3-CHRNA6 and CYP2A6 affect smoking behavior. Nature Genetics, 42, 448–453.
C. A. Tsai , H. M. Hsueh , & J. J. Chen (2003). Estimation of false discovery rates in multiple testing: Application to gene microarray data. Biometrics, 59, 1071–1081.
E. J. van den Oord (2002). Association studies in psychiatric genetics: What are we doing? Molecular Psychiatry, 7, 827–828.
E. J. van den Oord , & P. Sullivan (2003). False discoveries and models for gene discovery. Trends in Genetics, 19, 537–542.
M. H. van Ijzendoorn , M. J. Bakermans-Kranenburg , J. Belsky , S. Beach , G. Brody , K. A. Dodge , . . . S. Scott (2011). Gene-by-environment experiments: A new approach to finding the missing heritability. Nature Reviews Genetics, 12, 881.
K. Wang , M. Li , & M. Bucan (2007). Pathway-based approaches for analysis of genomewide association studies. The American Journal of Human Genetics, 81, 1278–1283.
M. Y. Wong , N. E. Day , J. A. Luan , K. P. Chan , & N. J. Wareham (2003). The detection of gene–environment interaction for continuous traits: Should we deal with measurement error by bigger studies or better measurement? International Journal of Epidemiology, 32, 51.
M. Y. Wong , N. E. Day , J. A. Luan , & N. J. Wareham (2004). Estimation of magnitude in gene–environment interactions in the presence of measurement error. Statistics in Medicine, 23, 987–998.