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Items: 19

1.

The genetic prehistory of the Andean highlands 7000 years BP though European contact.

Lindo J, Haas R, Hofman C, Apata M, Moraga M, Verdugo RA, Watson JT, Viviano Llave C, Witonsky D, Beall C, Warinner C, Novembre J, Aldenderfer M, Di Rienzo A.

Sci Adv. 2018 Nov 8;4(11):eaau4921. doi: 10.1126/sciadv.aau4921. eCollection 2018 Nov.

2.

Killer cell immunoglobulin-like receptor genotypes in a Chilean population from Talca.

Castro-Santos P, Verdugo RA, Díaz-Peña R.

Hum Immunol. 2018 Sep;79(9):651-652. doi: 10.1016/j.humimm.2018.06.007. Epub 2018 Jun 28.

PMID:
29964090
3.

Genomic insights into the origin and diversification of late maritime hunter-gatherers from the Chilean Patagonia.

de la Fuente C, Ávila-Arcos MC, Galimany J, Carpenter ML, Homburger JR, Blanco A, Contreras P, Cruz Dávalos D, Reyes O, San Roman M, Moreno-Estrada A, Campos PF, Eng C, Huntsman S, Burchard EG, Malaspinas AS, Bustamante CD, Willerslev E, Llop E, Verdugo RA, Moraga M.

Proc Natl Acad Sci U S A. 2018 Apr 24;115(17):E4006-E4012. doi: 10.1073/pnas.1715688115. Epub 2018 Apr 9.

4.

Dexamethasone and Monophosphoryl Lipid A Induce a Distinctive Profile on Monocyte-Derived Dendritic Cells through Transcriptional Modulation of Genes Associated With Essential Processes of the Immune Response.

García-González PA, Schinnerling K, Sepúlveda-Gutiérrez A, Maggi J, Mehdi AM, Nel HJ, Pesce B, Larrondo ML, Aravena O, Molina MC, Catalán D, Thomas R, Verdugo RA, Aguillón JC.

Front Immunol. 2017 Oct 23;8:1350. doi: 10.3389/fimmu.2017.01350. eCollection 2017.

5.

Visualization of Results from Systems Genetics Studies in Chromosomal Context.

Oróstica KY, Verdugo RA.

Methods Mol Biol. 2017;1488:283-297.

PMID:
27933530
6.

Treatment with Dexamethasone and Monophosphoryl Lipid A Removes Disease-Associated Transcriptional Signatures in Monocyte-Derived Dendritic Cells from Rheumatoid Arthritis Patients and Confers Tolerogenic Features.

García-González PA, Schinnerling K, Sepúlveda-Gutiérrez A, Maggi J, Hoyos L, Morales RA, Mehdi AM, Nel HJ, Soto L, Pesce B, Molina MC, Cuchacovich M, Larrondo ML, Neira Ó, Catalán DF, Hilkens CM, Thomas R, Verdugo RA, Aguillón JC.

Front Immunol. 2016 Oct 25;7:458. eCollection 2016.

7.

chromPlot: visualization of genomic data in chromosomal context.

Oróstica KY, Verdugo RA.

Bioinformatics. 2016 Aug 1;32(15):2366-8. doi: 10.1093/bioinformatics/btw137. Epub 2016 Mar 9.

PMID:
27153580
8.

Overlapping mouse subcongenic strains successfully separate two linked body fat QTL on distal MMU 2.

Gularte-Mérida R, Farber CR, Verdugo RA, Islas-Trejo A, Famula TR, Warden CH, Medrano JF.

BMC Genomics. 2015 Jan 23;16:16. doi: 10.1186/s12864-014-1191-8.

9.

Graphical modeling of gene expression in monocytes suggests molecular mechanisms explaining increased atherosclerosis in smokers.

Verdugo RA, Zeller T, Rotival M, Wild PS, Münzel T, Lackner KJ, Weidmann H, Ninio E, Trégouët DA, Cambien F, Blankenberg S, Tiret L.

PLoS One. 2013;8(1):e50888. doi: 10.1371/journal.pone.0050888. Epub 2013 Jan 23.

10.

Using bioinformatics and systems genetics to dissect HDL-cholesterol genetics in an MRL/MpJ x SM/J intercross.

Leduc MS, Blair RH, Verdugo RA, Tsaih SW, Walsh K, Churchill GA, Paigen B.

J Lipid Res. 2012 Jun;53(6):1163-75. doi: 10.1194/jlr.M025833. Epub 2012 Apr 11.

11.

Integration of QTL and bioinformatic tools to identify candidate genes for triglycerides in mice.

Leduc MS, Hageman RS, Verdugo RA, Tsaih SW, Walsh K, Churchill GA, Paigen B.

J Lipid Res. 2011 Sep;52(9):1672-82. doi: 10.1194/jlr.M011130. Epub 2011 May 26.

12.

Genetic analysis of complex traits in the emerging Collaborative Cross.

Aylor DL, Valdar W, Foulds-Mathes W, Buus RJ, Verdugo RA, Baric RS, Ferris MT, Frelinger JA, Heise M, Frieman MB, Gralinski LE, Bell TA, Didion JD, Hua K, Nehrenberg DL, Powell CL, Steigerwalt J, Xie Y, Kelada SN, Collins FS, Yang IV, Schwartz DA, Branstetter LA, Chesler EJ, Miller DR, Spence J, Liu EY, McMillan L, Sarkar A, Wang J, Wang W, Zhang Q, Broman KW, Korstanje R, Durrant C, Mott R, Iraqi FA, Pomp D, Threadgill D, de Villena FP, Churchill GA.

Genome Res. 2011 Aug;21(8):1213-22. doi: 10.1101/gr.111310.110. Epub 2011 Mar 15.

13.

Identification of genetic determinants of IGF-1 levels and longevity among mouse inbred strains.

Leduc MS, Hageman RS, Meng Q, Verdugo RA, Tsaih SW, Churchill GA, Paigen B, Yuan R.

Aging Cell. 2010 Oct;9(5):823-36. doi: 10.1111/j.1474-9726.2010.00612.x.

14.

Serious limitations of the QTL/microarray approach for QTL gene discovery.

Verdugo RA, Farber CR, Warden CH, Medrano JF.

BMC Biol. 2010 Jul 12;8:96. doi: 10.1186/1741-7007-8-96.

15.

Segregation analysis of a sex ratio distortion locus in congenic mice.

Casellas J, Farber CR, Verdugo RA, Medrano JF.

J Hered. 2010 May-Jun;101(3):351-9. doi: 10.1093/jhered/esp118. Epub 2009 Dec 23.

16.

Importance of randomization in microarray experimental designs with Illumina platforms.

Verdugo RA, Deschepper CF, Muñoz G, Pomp D, Churchill GA.

Nucleic Acids Res. 2009 Sep;37(17):5610-8. doi: 10.1093/nar/gkp573. Epub 2009 Jul 17.

17.
18.

Overexpression of Scg5 increases enzymatic activity of PCSK2 and is inversely correlated with body weight in congenic mice.

Farber CR, Chitwood J, Lee SN, Verdugo RA, Islas-Trejo A, Rincon G, Lindberg I, Medrano JF.

BMC Genet. 2008 Apr 25;9:34. doi: 10.1186/1471-2156-9-34.

19.

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