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Items: 16

1.

Evaluation of a bayesian model integration-based method for censored data.

Hou L, Wang K, Bartlett CW.

Hum Hered. 2012;74(1):1-11. doi: 10.1159/000342707. Epub 2012 Sep 26.

2.

Understanding the potential role of statins in pneumonia and sepsis.

Yende S, Milbrandt EB, Kellum JA, Kong L, Delude RL, Weissfeld LA, Angus DC.

Crit Care Med. 2011 Aug;39(8):1871-8. doi: 10.1097/CCM.0b013e31821b8290.

3.

The effects of age on inflammatory and coagulation-fibrinolysis response in patients hospitalized for pneumonia.

Kale S, Yende S, Kong L, Perkins A, Kellum JA, Newman AB, Vallejo AN, Angus DC; GenIMS Investigators.

PLoS One. 2010 Nov 4;5(11):e13852. doi: 10.1371/journal.pone.0013852.

4.

The influence of pre-existing diabetes mellitus on the host immune response and outcome of pneumonia: analysis of two multicentre cohort studies.

Yende S, van der Poll T, Lee M, Huang DT, Newman AB, Kong L, Kellum JA, Harris TB, Bauer D, Satterfield S, Angus DC; GenIMS and Health ABC study.

Thorax. 2010 Oct;65(10):870-7. doi: 10.1136/thx.2010.136317.

5.

A Variance-Component Framework for Pedigree Analysis of Continuous and Categorical Outcomes.

Epstein MP, Hunter JE, Allen EG, Sherman SL, Lin X, Boehnke M.

Stat Biosci. 2009 Nov;1(2):181-198.

6.

Acute kidney injury in non-severe pneumonia is associated with an increased immune response and lower survival.

Murugan R, Karajala-Subramanyam V, Lee M, Yende S, Kong L, Carter M, Angus DC, Kellum JA; Genetic and Inflammatory Markers of Sepsis (GenIMS) Investigators.

Kidney Int. 2010 Mar;77(6):527-35. doi: 10.1038/ki.2009.502. Epub 2009 Dec 23.

7.
8.

Variance-components methods for linkage and association analysis of ordinal traits in general pedigrees.

Diao G, Lin DY.

Genet Epidemiol. 2010 Apr;34(3):232-7. doi: 10.1002/gepi.20453.

9.

Prevalence and significance of coagulation abnormalities in community-acquired pneumonia.

Milbrandt EB, Reade MC, Lee M, Shook SL, Angus DC, Kong L, Carter M, Yealy DM, Kellum JA; GenIMS Investigators.

Mol Med. 2009 Nov-Dec;15(11-12):438-45. doi: 10.2119/molmed.2009.00091. Epub 2009 Sep 8.

10.

Differences in immune response may explain lower survival among older men with pneumonia.

Reade MC, Yende S, D'Angelo G, Kong L, Kellum JA, Barnato AE, Milbrandt EB, Dooley C, Mayr FB, Weissfeld L, Angus DC; Genetic and Inflammatory Markers of Sepsis Investigators.

Crit Care Med. 2009 May;37(5):1655-62. doi: 10.1097/CCM.0b013e31819da853.

11.
12.

Inflammatory markers at hospital discharge predict subsequent mortality after pneumonia and sepsis.

Yende S, D'Angelo G, Kellum JA, Weissfeld L, Fine J, Welch RD, Kong L, Carter M, Angus DC; GenIMS Investigators.

Am J Respir Crit Care Med. 2008 Jun 1;177(11):1242-7. doi: 10.1164/rccm.200712-1777OC. Epub 2008 Mar 27.

13.

Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study.

Kellum JA, Kong L, Fink MP, Weissfeld LA, Yealy DM, Pinsky MR, Fine J, Krichevsky A, Delude RL, Angus DC; GenIMS Investigators.

Arch Intern Med. 2007 Aug 13-27;167(15):1655-63.

14.

Quantitative trait linkage analysis using Gaussian copulas.

Li M, Boehnke M, Abecasis GR, Song PX.

Genetics. 2006 Aug;173(4):2317-27. Epub 2006 Jun 4.

15.

A simple linear regression method for quantitative trait loci linkage analysis with censored observations.

Anderson CA, McRae AF, Visscher PM.

Genetics. 2006 Jul;173(3):1735-45. Epub 2006 Apr 19.

16.

A powerful and robust method for mapping quantitative trait loci in general pedigrees.

Diao G, Lin DY.

Am J Hum Genet. 2005 Jul;77(1):97-111. Epub 2005 May 25.

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