Acute Lung Injury (ALI) is a common complication of sepsis and trauma and is associated with mortality rates of over 20%. Candidate gene studies suggest a role for common genetic variation in determining host susceptibility to ALI in critically ill patients. However, variants studied to date account for only a small proportion of the variability in risk of an individual to develop ALI after exposure to apparently similar risk factors such as sepsis or traumatic injury. We hypothesize that additional common genetic variants associated with increased risk for ALI can be discovered in a large group of patients at-risk for ALI using a genome- wide association study (GWAS). We propose to capitalize on existing genomic DNA samples and associated rich phenotypic data collected as part of the ARDSnet consortium clinical trials in this genome-wide search for ALI risk alleles. We will leverage well-phenotyped samples collected as part of studies performed by members of the iSPAAR (identification of SNPs Predisposing to Altered ALI Risk) consortium to provide an unprecedented sample size for a genetic study in the critically ill. Through the following specific aims we will provide new insight on ALI pathogenesis and identify novel markers of risk for ALI that can be tested in future studies for utility in risk stratification and identification of subjects at high-risk for poor outcomes that might benefit most from new therapeutic interventions. We will also generate an invaluable new resource for the study of genetics underlying risk for ALI that will facilitate many future studies that were previously unfeasible given the lack of adequate samples sizes and dense genotypic information. Taken together, these contributions will represent a rapid major advancement in the field of ALI pathogenesis and prediction.

Public Health Relevance

The proposed studies are highly relevant to human health. We will investigate the genetic factors that modify an individual's susceptibility to acute lung injury (ALI), which affects more than 200,000 patients per year in the U.S. and is associated with mortality of 20-25%. Our studies will identify new genes that contribute to the onset or severity of ALI, and these genes could become new targets for treatment and risk stratification. We are using the power of genetic investigation to move towards a personalized approach to the care of critically ill patients.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
High Impact Research and Research Infrastructure Programs (RC2)
Project #
1RC2HL101779-01
Application #
7855586
Study Section
Special Emphasis Panel (ZHL1-CSR-A (O2))
Program Officer
Harabin, Andrea L
Project Start
2009-09-30
Project End
2011-08-31
Budget Start
2009-09-30
Budget End
2010-08-31
Support Year
1
Fiscal Year
2009
Total Cost
$3,103,446
Indirect Cost
Name
University of Washington
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Hernandez-Pacheco, Natalia; Guillen-Guio, Beatriz; Acosta-Herrera, Marialbert et al. (2018) A vascular endothelial growth factor receptor gene variant is associated with susceptibility to acute respiratory distress syndrome. Intensive Care Med Exp 6:16
Reilly, John P; Wang, Fan; Jones, Tiffanie K et al. (2018) Plasma angiopoietin-2 as a potential causal marker in sepsis-associated ARDS development: evidence from Mendelian randomization and mediation analysis. Intensive Care Med 44:1849-1858
Bhatraju, Pavan K; Mukherjee, Paramita; Robinson-Cohen, Cassianne et al. (2016) Acute kidney injury subphenotypes based on creatinine trajectory identifies patients at increased risk of death. Crit Care 20:372
Yu, Bing; Pulit, Sara L; Hwang, Shih-Jen et al. (2016) Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk. Circ Cardiovasc Genet 9:64-70
Auer, Paul L; Nalls, Mike; Meschia, James F et al. (2015) Rare and Coding Region Genetic Variants Associated With Risk of Ischemic Stroke: The NHLBI Exome Sequence Project. JAMA Neurol 72:781-8
Norton, Nadine; Li, Duanxiang; Rampersaud, Evadnie et al. (2013) Exome sequencing and genome-wide linkage analysis in 17 families illustrate the complex contribution of TTN truncating variants to dilated cardiomyopathy. Circ Cardiovasc Genet 6:144-53
Bejan, Cosmin Adrian; Xia, Fei; Vanderwende, Lucy et al. (2012) Pneumonia identification using statistical feature selection. J Am Med Inform Assoc 19:817-23
O'Mahony, D Shane; Glavan, Bradford J; Holden, Tarah D et al. (2012) Inflammation and immune-related candidate gene associations with acute lung injury susceptibility and severity: a validation study. PLoS One 7:e51104
Bejan, Cosmin A; Vanderwende, Lucy; Wurfel, Mark M et al. (2012) Assessing pneumonia identification from time-ordered narrative reports. AMIA Annu Symp Proc 2012:1119-28
Lee, Seunggeun; Emond, Mary J; Bamshad, Michael J et al. (2012) Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. Am J Hum Genet 91:224-37

Showing the most recent 10 out of 11 publications