This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The completion of the human genome sequence provides a new opportunity to associate genetic markers with disease. Traditionally based on family studies, future genetic research will tackle the diseases involving multiple genes and environmental factors using epidemiology. Such studies will dramatically improve patient care through identification of patients that will be responsive to certain therapies, providing early disease screening opportunities based on patient predisposition, and development of new diagnostic tests and therapies. These studies require access to DNA samples and associated patent information for large and heterogeneous populations. The purpose of this study is to provide an epidemiological approach to association of genes with specific diseases and to explore the genetic basis for therapeutic susceptibility and efficacy. The study seeks to obtain information necessary for the large-scale collection of patient blood samples at Northwestern-affiliated hospitals and longitudinally associate them with medical records in a prospective manner. To accomplish this, NUgene will develop a centralized genomic DNA sample collection and storage system that anonymizes blood samples, and regularly updates phenotypic data from medical records through a double-blinded computer system. To minimize possible privacy concerns, we will employ an anonymizing process that automatically removes patient identifiers before information is transferred to the NUgene database. NUgene will recruit study participants consenting to collection of a single blood sample and access to their electronic medical information at enrollment and at periodic intervals to update the participant's health status.
| Sherenian, Michael G; Singh, Anne M; Arguelles, Lester et al. (2018) Association of food allergy and decreased lung function in children and young adults with asthma. Ann Allergy Asthma Immunol 121:588-593.e1 |
| Baron, Kelly Glazer; Reid, Kathryn J; Malkani, Roneil G et al. (2017) Sleep Variability Among Older Adults With Insomnia: Associations With Sleep Quality and Cardiometabolic Disease Risk. Behav Sleep Med 15:144-157 |
| Gupta, Ruchi S; Walkner, Madeline M; Greenhawt, Matthew et al. (2016) Food Allergy Sensitization and Presentation in Siblings of Food Allergic Children. J Allergy Clin Immunol Pract 4:956-62 |
| Raghanti, Mary Ann; Edler, Melissa K; Stephenson, Alexa R et al. (2016) Human-specific increase of dopaminergic innervation in a striatal region associated with speech and language: A comparative analysis of the primate basal ganglia. J Comp Neurol 524:2117-29 |
| Slama, Laurence; Jacobson, Lisa P; Li, Xiuhong et al. (2016) Longitudinal Changes Over 10 Years in Free Testosterone Among HIV-Infected and HIV-Uninfected Men. J Acquir Immune Defic Syndr 71:57-64 |
| Makhija, Melanie M; Robison, Rachel G; Caruso, Deanna et al. (2016) Patterns of allergen sensitization and self-reported allergic disease in parents of food allergic children. Ann Allergy Asthma Immunol 117:382-386.e1 |
| Ye, Wen; Rosenthal, Philip; Magee, John C et al. (2015) Factors Determining ?-Bilirubin Levels in Infants With Biliary Atresia. J Pediatr Gastroenterol Nutr 60:659-63 |
| Arroyo-Ávila, Mariangelí; Santiago-Casas, Yesenia; McGwin Jr, Gerald et al. (2015) Clinical associations of anti-Smith antibodies in PROFILE: a multi-ethnic lupus cohort. Clin Rheumatol 34:1217-23 |
| Lertratanakul, Apinya; Wu, Peggy; Dyer, Alan R et al. (2014) Risk factors in the progression of subclinical atherosclerosis in women with systemic lupus erythematosus. Arthritis Care Res (Hoboken) 66:1177-85 |
| Nodzenski, Michael; Muehlbauer, Michael J; Bain, James R et al. (2014) Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data. Bioinformatics 30:3287-8 |
Showing the most recent 10 out of 189 publications
