The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
HLA and Infectious Diseases
Open accessAbstract
SUMMARY: Following their discovery in the early 1970s, classical human leukocyte antigen (HLA) loci have been the prototypical candidates for genetic susceptibility to infectious disease. Indeed, the original hypothesis for the extreme variability observed at HLA loci (H-2 in mice) was the major selective pressure from infectious diseases. Now that both the human genome and the molecular basis of innate and acquired immunity are understood in greater detail, do the classical HLA loci still stand out as major genes that determine susceptibility to infectious disease? This review looks afresh at the evidence supporting a role for classical HLA loci in susceptibility to infectious disease, examines the limitations of data reported to date, and discusses current advances in methodology and technology that will potentially lead to greater understanding of their role in infectious diseases in the future.
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Cites
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
A haplotype map of the human genome
The International HapMap Consortium (2005) · Nature · doi:10.1038/nature04226 · Cited by 5,858
Detecting recent positive selection in the human genome from haplotype structure
Sabeti, P. C., Reich, D. E., Higgins, J. M., Levine, H. Z. P., Richter, D. J., Schaffner, S. F., Gabriel, S. B., Platko, J. V., Patterson, N. J., McDonald, G. J., et al. (2002) · Nature · doi:10.1038/nature01140 · Cited by 2,106
A genome-wide search for human type 1 diabetes susceptibility genes
Davies, J. L., Kawaguchi, Y., Bennett, S. T., Copeman, J. B., Cordell, H. J., Pritchard, L. E., Reed, P. W., Gough, S. C. L., Jenkins, S. C., Palmer, S. M., et al. (1994) · Nature · doi:10.1038/371130a0 · Cited by 1,276
The effects of human population structure on large genetic association studies
Marchini, J., Cardon, L. R., Phillips, M. S., & Donnelly, P. (2004) · Nature Genetics · doi:10.1038/ng1337 · Cited by 869
de Bakker, P. I. W., McVean, G., Sabeti, P. C., Miretti, M. M., Green, T., Marchini, J., Ke, X., Monsuur, A. J., Whittaker, P., Delgado, M., et al. (2006) · Nature Genetics · doi:10.1038/ng1885 · Cited by 766
Global Patterns of Linkage Disequilibrium at the CD4 Locus and Modern Human Origins
Tishkoff, S. A., Dietzsch, E., Speed, W., Pakstis, A. J., Kidd, J. R., Cheung, K., Bonné-Tamir, B., Santachiara-Benerecetti, A. S., Moral, P., Krings, M., et al. (1996) · Science · doi:10.1126/science.271.5254.1380 · Cited by 587 · cited 1×
“Infectious diseases are a major selective pressure (60, 147, 161, 171), and genes involved in the immune response are the most numerous and the most diverse in the human genome (115), reflecting the evolutionary advantages of a diverse immunological response to a wide range of infectious pathogens (14).”
BackgroundHuman CD8+ T-cell differentiation in response to viruses
van Lier, R. A. W., ten Berge, I. J. M., & Gamadia, L. E. (2003) · Nature Reviews Immunology · doi:10.1038/nri1254 · Cited by 297
Miller, E. N., Fadl, M., Mohamed, H. S., Elzein, A., Jamieson, S. E., Cordell, H. J., Peacock, C. S., Fakiola, M., Raju, M., Khalil, E. A., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030071 · Cited by 72
Self-citation
Cited by
COVID-19 infection: the perspectives on immune responses
Shi, Y., Wang, Y., Shao, C., Huang, J., Gan, J., Huang, X., Bucci, E., Piacentini, M., Ippolito, G., & Melino, G. (2020) · Cell Death & Differentiation · doi:10.1038/s41418-020-0530-3 · Cited by 1,594
Pappas, P. G., Alexander, B. D., Andes, D. R., Hadley, S., Kauffman, C. A., Freifeld, A., Anaissie, E. J., Brumble, L. M., Herwaldt, L., Ito, J., et al. (2010) · Clinical Infectious Diseases · doi:10.1086/651262 · Cited by 1,570
Pathogenesis, treatment, and prevention of pneumococcal pneumonia
van der Poll, T., & Opal, S. M. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61114-4 · Cited by 720
Tian, C., Hromatka, B. S., Kiefer, A. K., Eriksson, N., Noble, S. M., Tung, J. Y., & Hinds, D. A. (2017) · Nature Communications · doi:10.1038/s41467-017-00257-5 · Cited by 411
CLINICAL ASPECTS OF UNCOMPLICATED AND SEVERE MALARIA
Bartoloni, A., & Zammarchi, L. (2012) · Mediterranean Journal of Hematology and Infectious Diseases · doi:10.4084/mjhid.2012.026 · Cited by 304
Metadata
- Authors
- Blackwell, J. M., Jamieson, S. E., & Burgner, D.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2009-04
- Volume
- 22
- Issue
- 2
- Pages
- 370-385
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2148568906
- Cited by
- 505
- References
- 11
- FWCI
- 19.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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