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Items: 1 to 20 of 32

1.

A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples.

Chou WC, Zheng HF, Cheng CH, Yan H, Wang L, Han F, Richards JB, Karasik D, Kiel DP, Hsu YH.

Sci Rep. 2016 Dec 22;6:39313. doi: 10.1038/srep39313.

2.

GESDB: a platform of simulation resources for genetic epidemiology studies.

Yao PJ, Chung RH.

Database (Oxford). 2016 May 30;2016. pii: baw082. doi: 10.1093/database/baw082. Print 2016.

3.

Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?

Simonds NI, Ghazarian AA, Pimentel CB, Schully SD, Ellison GL, Gillanders EM, Mechanic LE.

Genet Epidemiol. 2016 Jul;40(5):356-65. doi: 10.1002/gepi.21967. Epub 2016 Apr 7. Review.

4.

Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.

Boonstra PS, Mukherjee B, Gruber SB, Ahn J, Schmit SL, Chatterjee N.

Am J Epidemiol. 2016 Feb 1;183(3):237-47. doi: 10.1093/aje/kwv198. Epub 2016 Jan 10.

5.

RDoC and translational perspectives on the genetics of trauma-related psychiatric disorders.

Montalvo-Ortiz JL, Gelernter J, Hudziak J, Kaufman J.

Am J Med Genet B Neuropsychiatr Genet. 2016 Jan;171B(1):81-91. doi: 10.1002/ajmg.b.32395. Epub 2015 Nov 22. Review.

6.

Likelihood-based complex trait association testing for arbitrary depth sequencing data.

Yan S, Yuan S, Xu Z, Zhang B, Zhang B, Kang G, Byrnes A, Li Y.

Bioinformatics. 2015 Sep 15;31(18):2955-62. doi: 10.1093/bioinformatics/btv307. Epub 2015 May 14.

7.

Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only.

Zhao LP, Fan W, Goodman G, Radich J, Martin P.

Genet Epidemiol. 2015 Jul;39(5):334-46. doi: 10.1002/gepi.21890. Epub 2015 Feb 18.

8.

The mathematical limits of genetic prediction for complex chronic disease.

Keyes KM, Smith GD, Koenen KC, Galea S.

J Epidemiol Community Health. 2015 Jun;69(6):574-9. doi: 10.1136/jech-2014-204983. Epub 2015 Feb 3.

9.

Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression.

Zhao G, Marceau R, Zhang D, Tzeng JY.

Genetics. 2015 Mar;199(3):695-710. doi: 10.1534/genetics.114.171686. Epub 2015 Jan 12.

10.

Complete effect-profile assessment in association studies with multiple genetic and multiple environmental factors.

Wang Z, Maity A, Luo Y, Neely ML, Tzeng JY.

Genet Epidemiol. 2015 Feb;39(2):122-33. doi: 10.1002/gepi.21877. Epub 2014 Dec 23.

11.

Genetic simulation tools for post-genome wide association studies of complex diseases.

Chen HS, Hutter CM, Mechanic LE, Amos CI, Bafna V, Hauser ER, Hernandez RD, Li C, Liberles DA, McAllister K, Moore JH, Paltoo DN, Papanicolaou GJ, Peng B, Ritchie MD, Rosenfeld G, Witte JS, Gillanders EM, Feuer EJ.

Genet Epidemiol. 2015 Jan;39(1):11-19. doi: 10.1002/gepi.21870. Epub 2014 Nov 4.

12.

The next generation of large-scale epidemiologic research: implications for training cancer epidemiologists.

Spitz MR, Lam TK, Schully SD, Khoury MJ.

Am J Epidemiol. 2014 Nov 15;180(10):964-7. doi: 10.1093/aje/kwu256. Epub 2014 Sep 18. Review.

13.

Functional logistic regression approach to detecting gene by longitudinal environmental exposure interaction in a case-control study.

Wei P, Tang H, Li D.

Genet Epidemiol. 2014 Nov;38(7):638-51. doi: 10.1002/gepi.21852. Epub 2014 Sep 12.

14.

Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data.

Lange K, Papp JC, Sinsheimer JS, Sobel EM.

Annu Rev Stat Appl. 2014 Jan 1;1(1):279-300.

15.

Defining nephrotic syndrome from an integrative genomics perspective.

Sampson MG, Hodgin JB, Kretzler M.

Pediatr Nephrol. 2015 Jan;30(1):51-63; quiz 59. doi: 10.1007/s00467-014-2857-9. Epub 2014 Jun 3. Review.

16.

A one-degree-of-freedom test for supra-multiplicativity of SNP effects.

Herold C, Ramirez A, Drichel D, Lacour A, Vaitsiakhovich T, Nöthen MM, Jessen F, Maier W, Becker T.

PLoS One. 2013 Oct 30;8(10):e78038. doi: 10.1371/journal.pone.0078038. eCollection 2013. Erratum in: PLoS One. 2014;9(11):e114890.

17.

Irritable bowel syndrome-diarrhea: characterization of genotype by exome sequencing, and phenotypes of bile acid synthesis and colonic transit.

Camilleri M, Klee EW, Shin A, Carlson P, Li Y, Grover M, Zinsmeister AR.

Am J Physiol Gastrointest Liver Physiol. 2014 Jan 1;306(1):G13-26. doi: 10.1152/ajpgi.00294.2013. Epub 2013 Nov 7.

18.

Functional linear models for association analysis of quantitative traits.

Fan R, Wang Y, Mills JL, Wilson AF, Bailey-Wilson JE, Xiong M.

Genet Epidemiol. 2013 Nov;37(7):726-42. doi: 10.1002/gepi.21757.

19.

Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.

Hutter CM, Mechanic LE, Chatterjee N, Kraft P, Gillanders EM; NCI Gene-Environment Think Tank.

Genet Epidemiol. 2013 Nov;37(7):643-57. doi: 10.1002/gepi.21756. Epub 2013 Oct 5.

20.

Re-ranking sequencing variants in the post-GWAS era for accurate causal variant identification.

Faye LL, Machiela MJ, Kraft P, Bull SB, Sun L.

PLoS Genet. 2013;9(8):e1003609. doi: 10.1371/journal.pgen.1003609. Epub 2013 Aug 8.

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