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Items: 24

1.

An Exome-Wide Sequencing Study of the GOLDN Cohort Reveals Novel Associations of Coding Variants and Fasting Plasma Lipids.

Geng X, Irvin MR, Hidalgo B, Aslibekyan S, Srinivasasainagendra V, An P, Frazier-Wood AC, Tiwari HK, Dave T, Ryan K, Ordovas JM, Straka RJ, Feitosa MF, Hopkins PN, Borecki I, Province MA, Mitchell BD, Arnett DK, Zhi D.

Front Genet. 2019 Feb 26;10:158. doi: 10.3389/fgene.2019.00158. eCollection 2019.

2.

A PheWAS study of a large observational epidemiological cohort of African Americans from the REGARDS study.

Zhao X, Geng X, Srinivasasainagendra V, Chaudhary N, Judd S, Wadley V, GutiƩrrez OM, Wang H, Lange EM, Lange LA, Woo D, Unverzagt FW, Safford M, Cushman M, Limdi N, Quarells R, Arnett DK, Irvin MR, Zhi D.

BMC Med Genomics. 2019 Jan 31;12(Suppl 1):26. doi: 10.1186/s12920-018-0462-7.

3.

Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry.

Irvin MR, Sitlani CM, Noordam R, Avery CL, Bis JC, Floyd JS, Li J, Limdi NA, Srinivasasainagendra V, Stewart J, de Mutsert R, Mook-Kanamori DO, Lipovich L, Kleinbrink EL, Smith A, Bartz TM, Whitsel EA, Uitterlinden AG, Wiggins KL, Wilson JG, Zhi D, Stricker BH, Rotter JI, Arnett DK, Psaty BM, Lange LA.

Pharmacogenomics J. 2019 Feb;19(1):97-108. doi: 10.1038/s41397-018-0021-9. Epub 2018 Jun 1.

4.

Metabolic and inflammatory biomarkers are associated with epigenetic aging acceleration estimates in the GOLDN study.

Irvin MR, Aslibekyan S, Do A, Zhi D, Hidalgo B, Claas SA, Srinivasasainagendra V, Horvath S, Tiwari HK, Absher DM, Arnett DK.

Clin Epigenetics. 2018 Apr 18;10:56. doi: 10.1186/s13148-018-0481-4. eCollection 2018.

5.

An exome-wide sequencing study of lipid response to high-fat meal and fenofibrate in Caucasians from the GOLDN cohort.

Geng X, Irvin MR, Hidalgo B, Aslibekyan S, Srinivasasainagendra V, An P, Frazier-Wood AC, Tiwari HK, Dave T, Ryan K, Ordovas JM, Straka RJ, Feitosa MF, Hopkins PN, Borecki I, Province MA, Mitchell BD, Arnett DK, Zhi D.

J Lipid Res. 2018 Apr;59(4):722-729. doi: 10.1194/jlr.P080333. Epub 2018 Feb 20.

6.

APOL1, CDKN2A/CDKN2B, and HDAC9 polymorphisms and small vessel ischemic stroke.

Akinyemi R, Tiwari HK, Arnett DK, Ovbiagele B, Irvin MR, Wahab K, Sarfo F, Srinivasasainagendra V, Adeoye A, Perry RT, Akpalu A, Jenkins C, Arulogun O, Gebregziabher M, Owolabi L, Obiako R, Sanya E, Komolafe M, Fawale M, Adebayo P, Osaigbovo G, Sunmonu T, Olowoyo P, Chukwuonye I, Obiabo Y, Onoja A, Akinyemi J, Ogbole G, Melikam S, Saulson R, Owolabi M; SIREN Investigators.

Acta Neurol Scand. 2018 Jan;137(1):133-141. doi: 10.1111/ane.12847. Epub 2017 Oct 3.

7.

Interleukin-6 (IL-6) rs1800796 and cyclin dependent kinase inhibitor (CDKN2A/CDKN2B) rs2383207 are associated with ischemic stroke in indigenous West African Men.

Akinyemi R, Arnett DK, Tiwari HK, Ovbiagele B, Sarfo F, Srinivasasainagendra V, Irvin MR, Adeoye A, Perry RT, Akpalu A, Jenkins C, Owolabi L, Obiako R, Wahab K, Sanya E, Komolafe M, Fawale M, Adebayo P, Osaigbovo G, Sunmonu T, Olowoyo P, Chukwuonye I, Obiabo Y, Akpa O, Melikam S, Saulson R, Kalaria R, Ogunniyi A, Owolabi M; SIREN Investigators.

J Neurol Sci. 2017 Aug 15;379:229-235. doi: 10.1016/j.jns.2017.05.046. Epub 2017 May 23.

8.

Whole exome analyses to examine the impact of rare variants on left ventricular traits in African American participants from the HyperGEN and GENOA studies.

Do AN, Zhao W, Srinivasasainagendra V, Aslibekyan S, Tiwari HK, Limdi N, Shah SJ, Zhi D, Broeckel U, Gu CC, Rao DC, Schwander K, Smith JA, Kardia SLR, Arnett DK, Irvin MR.

J Hypertens Manag. 2017;3(1). pii: 025. doi: 10.23937/2474-3690/1510025. Epub 2017 Jul 20.

9.

A genome-wide study of lipid response to fenofibrate in Caucasians: a combined analysis of the GOLDN and ACCORD studies.

Irvin MR, Rotroff DM, Aslibekyan S, Zhi D, Hidalgo B, Motsinger-Reif A, Marvel S, Srinivasasainagendra V, Claas SA, Buse JB, Straka RJ, Ordovas JM, Borecki IB, Guo X, Chen IY, Rotter JI, Wagner MJ, Arnett DK.

Pharmacogenet Genomics. 2016 Jul;26(7):324-33. doi: 10.1097/FPC.0000000000000219.

10.

Mitochondrial DNA Polymerase POLG1 Disease Mutations and Germline Variants Promote Tumorigenic Properties.

Singh B, Owens KM, Bajpai P, Desouki MM, Srinivasasainagendra V, Tiwari HK, Singh KK.

PLoS One. 2015 Oct 15;10(10):e0139846. doi: 10.1371/journal.pone.0139846. eCollection 2015.

11.

Serum urate gene associations with incident gout, measured in the Framingham Heart Study, are modified by renal disease and not by body mass index.

Reynolds RJ, Vazquez AI, Srinivasasainagendra V, Klimentidis YC, Bridges SL Jr, Allison DB, Singh JA.

Rheumatol Int. 2016 Feb;36(2):263-70. doi: 10.1007/s00296-015-3364-4. Epub 2015 Oct 1.

12.

A statistical framework for testing the causal effects of fetal drive.

Liu N, Archer E, Srinivasasainagendra V, Allison DB.

Front Genet. 2015 Jan 13;5:464. doi: 10.3389/fgene.2014.00464. eCollection 2014.

13.

Differential Gene Expression Landscape of Co-Existing Cervical Pre-Cancer Lesions Using RNA-seq.

Royse KE, Zhi D, Conner MG, Clodfelder-Miller B, Srinivasasainagendra V, Vaughan LK, Skibola CF, Crossman DK, Levy S, Shrestha S.

Front Oncol. 2014 Nov 26;4:339. doi: 10.3389/fonc.2014.00339. eCollection 2014.

14.

Lineage-specific splicing of a brain-enriched alternative exon promotes glioblastoma progression.

Ferrarese R, Harsh GR 4th, Yadav AK, Bug E, Maticzka D, Reichardt W, Dombrowski SM, Miller TE, Masilamani AP, Dai F, Kim H, Hadler M, Scholtens DM, Yu IL, Beck J, Srinivasasainagendra V, Costa F, Baxan N, Pfeifer D, von Elverfeldt D, Backofen R, Weyerbrock A, Duarte CW, He X, Prinz M, Chandler JP, Vogel H, Chakravarti A, Rich JN, Carro MS, Bredel M.

J Clin Invest. 2014 Jul;124(7):2861-76. doi: 10.1172/JCI68836. Epub 2014 May 27.

15.

Where in the genome are we? A cautionary tale of database use in genomics research.

Vaughan LK, Srinivasasainagendra V.

Front Genet. 2013 Mar 21;4:38. doi: 10.3389/fgene.2013.00038. eCollection 2013.

16.

Detecting transcription of ribosomal protein pseudogenes in diverse human tissues from RNA-seq data.

Tonner P, Srinivasasainagendra V, Zhang S, Zhi D.

BMC Genomics. 2012 Aug 21;13:412. doi: 10.1186/1471-2164-13-412.

17.

Comprehensive comparative analysis and identification of RNA-binding protein domains: multi-class classification and feature selection.

Jahandideh S, Srinivasasainagendra V, Zhi D.

J Theor Biol. 2012 Nov 7;312:65-75. doi: 10.1016/j.jtbi.2012.07.013. Epub 2012 Aug 3.

18.

Whole-exome sequencing and an iPSC-derived cardiomyocyte model provides a powerful platform for gene discovery in left ventricular hypertrophy.

Zhi D, Irvin MR, Gu CC, Stoddard AJ, Lorier R, Matter A, Rao DC, Srinivasasainagendra V, Tiwari HK, Turner A, Broeckel U, Arnett DK.

Front Genet. 2012 May 28;3:92. doi: 10.3389/fgene.2012.00092. eCollection 2012.

19.

Assessing changes in relapse rates in multiple sclerosis.

Inusah S, Sormani MP, Cofield SS, Aban IB, Musani SK, Srinivasasainagendra V, Cutter GR.

Mult Scler. 2010 Dec;16(12):1414-21. doi: 10.1177/1352458510379246. Epub 2010 Sep 1. Review.

PMID:
20810517
20.

Cross-chip probe matching tool: A web-based tool for linking microarray probes within and across plant species.

Ghanekar R, Srinivasasainagendra V, Page GP.

Int J Plant Genomics. 2008;2008:451327. doi: 10.1155/2008/451327. Epub 2008 Oct 21.

21.

CressExpress: a tool for large-scale mining of expression data from Arabidopsis.

Srinivasasainagendra V, Page GP, Mehta T, Coulibaly I, Loraine AE.

Plant Physiol. 2008 Jul;147(3):1004-16. doi: 10.1104/pp.107.115535. Epub 2008 May 8.

22.

An adaptive alpha spending algorithm improves the power of statistical inference in microarray data analysis.

Brand JP, Chen L, Cui X, Bartolucci AA, Page GP, Kim K, Barnes S, Srinivasasainagendra V, Beasley MT, Allison DB.

Bioinformation. 2007 Apr 10;1(10):384-9.

23.

Transcriptional coordination of the metabolic network in Arabidopsis.

Wei H, Persson S, Mehta T, Srinivasasainagendra V, Chen L, Page GP, Somerville C, Loraine A.

Plant Physiol. 2006 Oct;142(2):762-74. Epub 2006 Aug 18.

24.

HDBStat!: a platform-independent software suite for statistical analysis of high dimensional biology data.

Trivedi P, Edwards JW, Wang J, Gadbury GL, Srinivasasainagendra V, Zakharkin SO, Kim K, Mehta T, Brand JP, Patki A, Page GP, Allison DB.

BMC Bioinformatics. 2005 Apr 6;6:86.

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