Statistical and database support for the Seattle Primary Infection Program The need for biostatistics and other quantitative support is part of most medical research and as such, the SeaPIP Projects will utilize the resources of the Biostatistics Core on some level in nearly every type of research conducted. Recent advances in data collection and measurement instruments result in more and more complex data types, such as viral and cellular genomics, viral dynamics, and sophisticated measures of immune responses: all areas that would benefit from input and collaboration with statisticians. By including MSlevel biostatisticians for routine analyses and PhD-level biostatisticians for collaboration on more advanced analyses, the SeaPIP Biostatistics Core is well equipped to handle these complex new problems, in addition to providing standard and necessary classical biostatistics support. In addition, given the diversity of projects requiring Biostatistical support, the Core can provide the infrastructure needed to integrate the disparate statistical and scientific activities of the Program Project as a whole, and identify opportunities for inter-project hypothesis generation and exploratory analyses. The Biostatistics Core will use MS-level SAS programmers and statisticians across all three projects which will provide efficiency and breadth of experience to the Program overall. Furthermore, Drs. Holte and Hughes will have regular interactions to discuss Program statistical activities so that each Project can benefit from statistical scientific insights gained in the analysis from all three Projects in the Program. Finally, the most successful collaborations between statisticians and clinical and laboratory researchers is achieved when the same researchers work together over long periods of time. Dr. Holte has many years of experience in collaborating with the SeaPIP investigators, so that she is well equipped to continue to support the quantitative needs of this scientific program.

National Institute of Health (NIH)
National Institute of Allergy and Infectious Diseases (NIAID)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZCA1-GRB-T)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Washington
United States
Zip Code
Stekler, Joanne D; McKernan, Jennifer; Milne, Ross et al. (2015) Lack of resistance to integrase inhibitors among antiretroviral-naive subjects with primary HIV-1 infection, 2007-2013. Antivir Ther 20:77-80
Liu, Yi; Rao, Ushnal; McClure, Jan et al. (2014) Impact of mutations in highly conserved amino acids of the HIV-1 Gag-p24 and Env-gp120 proteins on viral replication in different genetic backgrounds. PLoS One 9:e94240
Kulkarni, Viraj; Valentin, Antonio; Rosati, Margherita et al. (2014) Altered response hierarchy and increased T-cell breadth upon HIV-1 conserved element DNA vaccination in macaques. PLoS One 9:e86254
Sunshine, Justine; Kim, Moon; Carlson, Jonathan M et al. (2014) Increased sequence coverage through combined targeting of variant and conserved epitopes correlates with control of HIV replication. J Virol 88:1354-65
Kahle, Erin; Campbell, Mary; Lingappa, Jairam et al. (2014) HIV-1 subtype C is not associated with higher risk of heterosexual HIV-1 transmission: a multinational study among HIV-1 serodiscordant couples. AIDS 28:235-43
Melhem, Nada M; Smith, Kellie N; Huang, Xiao-Li et al. (2014) The impact of viral evolution and frequency of variant epitopes on primary and memory human immunodeficiency virus type 1-specific CD8? T cell responses. Virology 450-451:34-48
Kulkarni, Viraj; Valentin, Antonio; Rosati, Margherita et al. (2014) HIV-1 conserved elements p24CE DNA vaccine induces humoral immune responses with broad epitope recognition in macaques. PLoS One 9:e111085
Grant, Igor; Franklin Jr, Donald R; Deutsch, Reena et al. (2014) Asymptomatic HIV-associated neurocognitive impairment increases risk for symptomatic decline. Neurology 82:2055-62
Herbeck, Joshua T; Mittler, John E; Gottlieb, Geoffrey S et al. (2014) An HIV epidemic model based on viral load dynamics: value in assessing empirical trends in HIV virulence and community viral load. PLoS Comput Biol 10:e1003673
Rolland, Morgane; Manocheewa, Siriphan; Swain, J Victor et al. (2013) HIV-1 conserved-element vaccines: relationship between sequence conservation and replicative capacity. J Virol 87:5461-7

Showing the most recent 10 out of 77 publications