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Items: 1 to 20 of 139

1.

ForestPMPlot: A Flexible Tool for Visualizing Heterogeneity between Studies in Meta-analysis.

Kang EY, Park Y, Li X, Segrè AV, Han B, Eskin E.

G3 (Bethesda). 2016 May 18. pii: g3.116.029439. doi: 10.1534/g3.116.029439. [Epub ahead of print]

2.

Characterization of Expression Quantitative Trait Loci in Pedigrees from Colombia and Costa Rica Ascertained for Bipolar Disorder.

Peterson CB, Service SK, Jasinska AJ, Gao F, Zelaya I, Teshiba TM, Bearden CE, Cantor RM, Reus VI, Macaya G, López-Jaramillo C, Bogomolov M, Benjamini Y, Eskin E, Coppola G, Freimer NB, Sabatti C.

PLoS Genet. 2016 May 13;12(5):e1006046. doi: 10.1371/journal.pgen.1006046. eCollection 2016 May.

3.

The Hybrid Mouse Diversity Panel: A Resource for Systems Genetics Analyses of Metabolic and Cardiovascular Traits.

Lusis AJ, Seldin M, Allayee H, Bennett BJ, Civelek M, Davis RC, Eskin E, Farber C, Hui ST, Mehrabian M, Norheim F, Pan C, Parks B, Rau C, Smith DJ, Vallim T, Wang Y, Wang J.

J Lipid Res. 2016 Apr 19. pii: jlr.R066944. [Epub ahead of print]

4.

Multiple testing correction in linear mixed models.

Joo JW, Hormozdiari F, Han B, Eskin E.

Genome Biol. 2016 Apr 1;17(1):62. doi: 10.1186/s13059-016-0903-6.

5.

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies.

Rahmani E, Zaitlen N, Baran Y, Eng C, Hu D, Galanter J, Oh S, Burchard EG, Eskin E, Zou J, Halperin E.

Nat Methods. 2016 May;13(5):443-5. doi: 10.1038/nmeth.3809. Epub 2016 Mar 28.

PMID:
27018579
6.

Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models.

Sul JH, Bilow M, Yang WY, Kostem E, Furlotte N, He D, Eskin E.

PLoS Genet. 2016 Mar 4;12(3):e1005849. doi: 10.1371/journal.pgen.1005849. eCollection 2016 Mar.

7.

Correction: Genetic Architecture of Atherosclerosis in Mice: A Systems Genetics Analysis of Common Inbred Strains.

Bennett BJ, Davis RC, Civelek M, Orozco L, Wu J, Qi H, Pan C, Sevag Packard RR, Eskin E, Yan M, Kirchgessner T, Wang Z, Li X, Gregory JC, Hazen SL, Gargalovic PS, Lusis AJ.

PLoS Genet. 2016 Mar 2;12(3):e1005913. doi: 10.1371/journal.pgen.1005913. eCollection 2016 Mar.

8.

A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping.

Han B, Duong D, Sul JH, de Bakker PI, Eskin E, Raychaudhuri S.

Hum Mol Genet. 2016 Feb 21. pii: ddw049. [Epub ahead of print]

PMID:
26908615
9.

Genetic Architecture of Atherosclerosis in Mice: A Systems Genetics Analysis of Common Inbred Strains.

Bennett BJ, Davis RC, Civelek M, Orozco L, Wu J, Qi H, Pan C, Packard RR, Eskin E, Yan M, Kirchgessner T, Wang Z, Li X, Gregory JC, Hazen SL, Gargalovic PS, Lusis AJ.

PLoS Genet. 2015 Dec 22;11(12):e1005711. doi: 10.1371/journal.pgen.1005711. eCollection 2015 Dec. Erratum in: PLoS Genet. 2016 Mar;12(3):e1005913.

10.

The Genetic Architecture of Hearing Impairment in Mice: Evidence for Frequency-Specific Genetic Determinants.

Crow AL, Ohmen J, Wang J, Lavinsky J, Hartiala J, Li Q, Li X, Salehide P, Eskin E, Pan C, Lusis AJ, Allayee H, Friedman RA.

G3 (Bethesda). 2015 Sep 4;5(11):2329-39. doi: 10.1534/g3.115.021592.

11.

Genetic and environmental control of host-gut microbiota interactions.

Org E, Parks BW, Joo JW, Emert B, Schwartzman W, Kang EY, Mehrabian M, Pan C, Knight R, Gunsalus R, Drake TA, Eskin E, Lusis AJ.

Genome Res. 2015 Oct;25(10):1558-69. doi: 10.1101/gr.194118.115. Epub 2015 Aug 10.

12.

High-Density Genotypes of Inbred Mouse Strains: Improved Power and Precision of Association Mapping.

Rau CD, Parks B, Wang Y, Eskin E, Simecek P, Churchill GA, Lusis AJ.

G3 (Bethesda). 2015 Jul 28;5(10):2021-6. doi: 10.1534/g3.115.020784.

13.

Quantitative analysis of 3-dimensional facial soft tissue photographic images: technical methods and clinical application.

Nanda V, Gutman B, Bar E, Alghamdi S, Tetradis S, Lusis AJ, Eskin E, Moon W.

Prog Orthod. 2015;16:21. doi: 10.1186/s40510-015-0082-0. Epub 2015 Jul 2.

14.

Identification of causal genes for complex traits.

Hormozdiari F, Kichaev G, Yang WY, Pasaniuc B, Eskin E.

Bioinformatics. 2015 Jun 15;31(12):i206-13. doi: 10.1093/bioinformatics/btv240.

15.

Correction: Genome-Wide Association Study Identifies Nox3 as a Critical Gene for Susceptibility to Noise-Induced Hearing Loss.

Lavinsky J, Crow AL, Pan C, Wang J, Aaron KA, Ho MK, Li Q, Salehide P, Myint A, Monges-Hernadez M, Eskin E, Allayee H, Lusis AJ, Friedman RA.

PLoS Genet. 2015 Jun 11;11(6):e1005293. doi: 10.1371/journal.pgen.1005293. eCollection 2015 Jun. No abstract available.

16.

The Genetic Landscape of Hematopoietic Stem Cell Frequency in Mice.

Zhou X, Crow AL, Hartiala J, Spindler TJ, Ghazalpour A, Barsky LW, Bennett BJ, Parks BW, Eskin E, Jain R, Epstein JA, Lusis AJ, Adams GB, Allayee H.

Stem Cell Reports. 2015 Jul 14;5(1):125-38. doi: 10.1016/j.stemcr.2015.05.008. Epub 2015 Jun 4.

17.

Accurate and fast multiple-testing correction in eQTL studies.

Sul JH, Raj T, de Jong S, de Bakker PI, Raychaudhuri S, Ophoff RA, Stranger BE, Eskin E, Han B.

Am J Hum Genet. 2015 Jun 4;96(6):857-68. doi: 10.1016/j.ajhg.2015.04.012. Epub 2015 May 28.

18.

Genome-wide association study identifies nox3 as a critical gene for susceptibility to noise-induced hearing loss.

Lavinsky J, Crow AL, Pan C, Wang J, Aaron KA, Ho MK, Li Q, Salehide P, Myint A, Monges-Hernadez M, Eskin E, Allayee H, Lusis AJ, Friedman RA.

PLoS Genet. 2015 Apr 16;11(4):e1005094. doi: 10.1371/journal.pgen.1005094. eCollection 2015 Apr. Erratum in: PLoS Genet. 2015 Jun;11(6):e1005293.

19.

Gene-Gene Interactions Detection Using a Two-stage Model.

Wang Z, Sul JH, Snir S, Lozano JA, Eskin E.

J Comput Biol. 2015 Jun;22(6):563-76. doi: 10.1089/cmb.2014.0163. Epub 2015 Apr 14.

PMID:
25871811
20.

Efficient multiple-trait association and estimation of genetic correlation using the matrix-variate linear mixed model.

Furlotte NA, Eskin E.

Genetics. 2015 May;200(1):59-68. doi: 10.1534/genetics.114.171447. Epub 2015 Feb 27.

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