HLA-B37
HLA-B37 (B37) is an HLA-B serotype. The serotype identifies the more common HLA-B*37 gene products.[1][2] (For terminology help see: HLA-serotype tutorial)
major histocompatibility complex (human), class I, B37 | ||
| Alleles | B*3701 | |
| Structure (See HLA-B) | ||
| Symbol(s) | HLA-B | |
| EBI-HLA | B*3701 | |
| Locus | chr.6 6p21.31 | |
Serotype
| B*37 | B37 | Sample | |
| allele | % | % | size (N) |
| 3701 | 93 | 1721 | |
| 3702 | 25 | 4 |
Alleles
| freq | ||
| ref. | Population | (%) |
| [4] | Central Africa Republic Mbenzele Pygmy | 37.5 |
| [4] | Cameroon Pygmy Baka | 15.0 |
| [4] | Burkina Faso Fulani | 12.2 |
| [4] | India Tamil Nadu Nadar | 9.0 |
| [4] | India Andhra Pradesh Golla | 8.7 |
| [4] | Cameroon Sawa | 7.7 |
| [4] | China Beijing | 4.6 |
| [4] | China Inner Mongolia | 3.9 |
| [4] | India North Hindus | 3.8 |
| [4] | Spain Mallorca and Menorca | 3.3 |
| [4] | France South East | 3.1 |
| [4] | Mexico Mestizos | 2.4 |
| [4] | China Qinghai Hui | 2.3 |
| [4] | Croatia | 2.0 |
| [4] | Italy Sardinia pop3 | 2.0 |
| [4] | Portugal Centre | 2.0 |
| [4] | Russia Arkhangelsk Pomors | 2.0 |
| [4] | Saudi Arabia Guraiat and Hail | 2.0 |
| [4] | Singapore Javanese Indonesians | 2.0 |
| [4] | South Africa Natal Tamil | 2.0 |
| [4] | China Guangzhou Han | 1.9 |
| [4] | China Tibet Autonomous Region Tibetans | 1.9 |
| [4] | Spain Eastern Andalusia | 1.8 |
| [4] | Cape Verde Northwestern Islands | 1.6 |
| [4] | Ireland Northern | 1.6 |
| [4] | China Guangzhou | 1.5 |
| [4] | Guinea Bissau | 1.5 |
| [4] | South Korea pop 3 | 1.4 |
| [4] | Thailand | 1.4 |
| [4] | Wales | 1.4 |
| [4] | Azores Santa Maria and Sao Miguel | 1.3 |
| [4] | Georgia Svaneti Svans | 1.3 |
| [4] | India Jalpaiguri Toto | 1.3 |
| [4] | Japan Central | 1.3 |
| [4] | Japan pop5 | 1.3 |
| [4] | India Mumbai Marathas | 1.2 |
| [4] | Ireland South | 1.2 |
| [4] | USA Caucasian Bethesda | 1.2 |
| [4] | India North Delhi | 1.1 |
| [4] | Senegal Niokholo Mandenka | 1.1 |
| [4] | Cameroon Bakola Pygmy | 1.0 |
| [4] | France Corsica | 1.0 |
| [4] | India West Bhils | 1.0 |
| [4] | Thailand pop3 | 1.0 |
gollark: Well, lucky, I guess, except it's an iPhone so I don't really like it, but it has... good specs and such.
gollark: Unrelatedly, choosing a decent phone these days is hard.
gollark: Continuing on from what I said, though: I've also heard it said that house prices are high because you can borrow lots of money cheaply now because of low interest rates, and because houses are a long-term-ownership thing their demand is more affected by how much you can *borrow* more than how much you *have now*. I have no idea which of these, if any, is accurate.
gollark: Ah.
gollark: Farmers... are workers, though? Do you mean specific workers of some sort?
References
- Ennis PD, Zemmour J, Salter RD, Parham P (1990). "Rapid cloning of HLA-A,B cDNA by using the polymerase chain reaction: frequency and nature of errors produced in amplification". Proc. Natl. Acad. Sci. U.S.A. 87 (7): 2833–7. doi:10.1073/pnas.87.7.2833. PMC 53785. PMID 2320591.
- Marsh, S. G.; Albert, E. D.; Bodmer, W. F.; Bontrop, R. E.; Dupont, B.; Erlich, H. A.; Fernández-Viña, M.; Geraghty, D. E.; Holdsworth, R.; Hurley, C. K.; Lau, M.; Lee, K. W.; Mach, B.; Maiers, M.; Mayr, W. R.; Müller, C. R.; Parham, P.; Petersdorf, E. W.; Sasazuki, T.; Strominger, J. L.; Svejgaard, A.; Terasaki, P. I.; Tiercy, J. M.; Trowsdale, J. (2010). "Nomenclature for factors of the HLA system, 2010". Tissue Antigens. 75 (4): 291–455. doi:10.1111/j.1399-0039.2010.01466.x. PMC 2848993. PMID 20356336.
- derived from IMGT/HLA
- Middleton D, Menchaca L, Rood H, Komerofsky R (2003). "New allele frequency database: http://www.allelefrequencies.net". Tissue Antigens. 61 (5): 403–7. doi:10.1034/j.1399-0039.2003.00062.x. PMID 12753660. External link in
|title=(help)
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.