The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The X chromosome and sex-specific effects in infectious disease susceptibility
Open accessAbstract
The X chromosome and X-linked variants have largely been ignored in genome-wide and candidate association studies of infectious diseases due to the complexity of statistical analysis of the X chromosome. This exclusion is significant, since the X chromosome contains a high density of immune-related genes and regulatory elements that are extensively involved in both the innate and adaptive immune responses. Many diseases present with a clear sex bias, and apart from the influence of sex hormones and socioeconomic and behavioural factors, the X chromosome, X-linked genes and X chromosome inactivation mechanisms contribute to this difference. Females are functional mosaics for X-linked genes due to X chromosome inactivation and this, combined with other X chromosome inactivation mechanisms such as genes that escape silencing and skewed inactivation, could contribute to an immunological advantage for females in many infections. In this review, we discuss the involvement of the X chromosome and X inactivation in immunity and address its role in sexual dimorphism of infectious diseases using tuberculosis susceptibility as an example, in which male sex bias is clear, yet not fully explored.
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Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898
Sex differences in immune responses
Klein, S. L., & Flanagan, K. L. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.90 · Cited by 6,370
Gene Action in the X-chromosome of the Mouse (Mus musculus L.)
LYON, M. F. (1961) · Nature · doi:10.1038/190372a0 · Cited by 3,978
Howie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928
The Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling
Houben, R. M. G. J., & Dodd, P. J. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002152 · Cited by 2,054
Arnold, A. P., & Chen, X. (2009) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2008.11.001 · Cited by 587
Nonrandom X-inactivation patterns in normal females: lyonization ratios vary with age
Busque, L., Mio, R., Mattioli, J., Brais, E., Blais, N., Lalonde, Y., Maragh, M., & Gilliland, D. (1996) · Blood · doi:10.1182/blood.v88.1.59.59 · Cited by 543
Geographic Patterns of Genome Admixture in Latin American Mestizos
Wang, S., Ray, N., Rojas, W., Parra, M. V., Bedoya, G., Gallo, C., Poletti, G., Mazzotti, G., Hill, K., Hurtado, A. M., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000037 · Cited by 453
Neutrophil-mediated innate immune resistance to mycobacteria
Martineau, A. R., Newton, S. M., Wilkinson, K. A., Kampmann, B., Hall, B. M., Nawroly, N., Packe, G. E., Davidson, R. N., Griffiths, C. J., & Wilkinson, R. J. (2007) · Journal of Clinical Investigation · doi:10.1172/jci31097 · Cited by 394
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Sex disparities matter in cancer development and therapy
Haupt, S., Caramia, F., Klein, S. L., Rubin, J. B., & Haupt, Y. (2021) · Nature Reviews Cancer · doi:10.1038/s41568-021-00348-y · Cited by 331
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Let’s talk about sex characteristics—as a risk factor for invasive fungal diseases.
Egger, M., Hoenigl, M., Thompson, G. R., Carvalho, A., & Jenks, J. D. (2022) · Mycoses · doi:10.1111/myc.13449 · Cited by 82
Green, M. S., Nitzan, D., Schwartz, N., Niv, Y., & Peer, V. (2021) · PLOS ONE · doi:10.1371/journal.pone.0250523 · Cited by 52
Metadata
- Authors
- Schurz, H., Salie, M., Tromp, G., Hoal, E. G., Kinnear, C. J., & Möller, M.
- Venue
- Human Genomics
- Published
- 2019-01-08
- Volume
- 13
- Issue
- 1
- Pages
- 2-2
- ISSN
- 1473-9542 (ISSN-L)
- 1479-7364
- OpenAlex
- W2909484927
- Cited by
- 405
- References
- 12
- FWCI
- 35.62
- Type
- journal article
- Language
- en
- Open access
- gold
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- Schurz, H., Salie, M., Tromp, G., Hoal, E. G., Kinnear, C. J., & Möller, M. (2019). The X chromosome and sex-specific effects in infectious disease susceptibility. Human Genomics. https://doi.org/10.1186/s40246-018-0185-z
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