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Items: 12

1.

Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction.

Fu MR, Conley YP, Axelrod D, Guth AA, Yu G, Fletcher J, Zagzag D.

Breast. 2016 Oct;29:231-40. doi: 10.1016/j.breast.2016.06.023. Epub 2016 Jul 22.

PMID:
27460425
2.

Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level.

Jeng XJ, Daye ZJ, Lu W, Tzeng JY.

PLoS Comput Biol. 2016 Jun 29;12(6):e1004993. doi: 10.1371/journal.pcbi.1004993. eCollection 2016 Jun 29.

3.

Monoacylglycerol lipase (MGLL) polymorphism rs604300 interacts with childhood adversity to predict cannabis dependence symptoms and amygdala habituation: Evidence from an endocannabinoid system-level analysis.

Carey CE, Agrawal A, Zhang B, Conley ED, Degenhardt L, Heath AC, Li D, Lynskey MT, Martin NG, Montgomery GW, Wang T, Bierut LJ, Hariri AR, Nelson EC, Bogdan R.

J Abnorm Psychol. 2015 Nov;124(4):860-77. doi: 10.1037/abn0000079.

4.

Assessing the Probability that a Finding Is Genuine for Large-Scale Genetic Association Studies.

Kuo CL, Vsevolozhskaya OA, Zaykin DV.

PLoS One. 2015 May 8;10(5):e0124107. doi: 10.1371/journal.pone.0124107. eCollection 2015 May 8.

5.

Combined analysis with copy number variation identifies risk loci in lung cancer.

Li X, Chen X, Hu G, Liu Y, Zhang Z, Wang P, Zhou Y, Yi X, Zhang J, Zhu Y, Wei Z, Yuan F, Zhao G, Zhu J, Hu L, Kong X.

Biomed Res Int. 2014;2014:469103. doi: 10.1155/2014/469103. Epub 2014 Jul 1.

6.

Genetic variants in MUC4 gene are associated with lung cancer risk in a Chinese population.

Zhang Z, Wang J, He J, Zheng Z, Zeng X, Zhang C, Ye J, Zhang Y, Zhong N, Lu W.

PLoS One. 2013 Oct 21;8(10):e77723. doi: 10.1371/journal.pone.0077723. eCollection 2013 Oct 21.

7.

Gene discovery through imaging genetics: identification of two novel genes associated with schizophrenia.

Potkin SG, Turner JA, Fallon JA, Lakatos A, Keator DB, Guffanti G, Macciardi F.

Mol Psychiatry. 2009 Apr;14(4):416-28. doi: 10.1038/mp.2008.127. Epub 2008 Dec 9.

8.

Molecular genetics of addiction and related heritable phenotypes: genome-wide association approaches identify "connectivity constellation" and drug target genes with pleiotropic effects.

Uhl GR, Drgon T, Johnson C, Li CY, Contoreggi C, Hess J, Naiman D, Liu QR.

Ann N Y Acad Sci. 2008 Oct;1141:318-81. doi: 10.1196/annals.1441.018. Review.

9.

Association of interacting genes in the toll-like receptor signaling pathway and the antibody response to pertussis vaccination.

Kimman TG, Banus S, Reijmerink N, Reimerink J, Stelma FF, Koppelman GH, Thijs C, Postma DS, Kerkhof M.

PLoS One. 2008;3(11):e3665. doi: 10.1371/journal.pone.0003665. Epub 2008 Nov 6.

10.

Identification of mitochondrial disease genes through integrative analysis of multiple datasets.

Aiyar RS, Gagneur J, Steinmetz LM.

Methods. 2008 Dec;46(4):248-55. doi: 10.1016/j.ymeth.2008.10.002. Epub 2008 Oct 16.

11.

Molecular genetics of successful smoking cessation: convergent genome-wide association study results.

Uhl GR, Liu QR, Drgon T, Johnson C, Walther D, Rose JE, David SP, Niaura R, Lerman C.

Arch Gen Psychiatry. 2008 Jun;65(6):683-93. doi: 10.1001/archpsyc.65.6.683.

12.

An ensemble learning approach jointly modeling main and interaction effects in genetic association studies.

Zhang Z, Zhang S, Wong MY, Wareham NJ, Sha Q.

Genet Epidemiol. 2008 May;32(4):285-300. doi: 10.1002/gepi.20304.

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