HLA-B42

HLA-B42 (B42) is an HLA-B serotype. The serotype identifies the HLA-B*4201 and *4202 gene products.[1] HLA-B*4201 is common in Central Africa. (For terminology help see: HLA-serotype tutorial)

major histocompatibility complex (human), class I, B42
Alleles B*4201
B*4202
Structure (See HLA-B)
Symbol(s) HLA-B
EBI-HLA B*4201
EBI-HLA B*4202
Locus chr.6 6p21.31

Serotype

B42 serotype recognition of Some HLA B*42 allele-group gene products[2]
B*42B42 otherSample
allele%%size (N)
42019321015
42029580

Serological typing for B*4201 and B*4202 is relatively efficient.

B*4201 allele frequencies

HLA B*4201 frequencies
freq
ref.Population(%)
[3]Zambia Lusaka14.8
[3]Mali Bandiagara13.8
[3]Burkina Faso Mossi13.2
[3]South African Natal Zulu12.0
[3]Burkina Faso Rimaibe9.6
[3]South Africa Tswana8.5
[3]Kenya Luo7.7
[3]Kenya7.3
[3]Kenya Nandi6.9
[3]Zimbabwe Harare Shona6.9
[3]Saudi Arabia5.6
[3]Cameroon Yaounde4.9
[3]Cameroon Beti4.0
[3]Cameroon Bamileke3.9
[3]Cameroon Sawa3.8
[3]Ivory Coast Akan Adiopodoume3.4
[3]Israel Gaza Palestinians2.4
[3]India North Delhi2.2
[3]Senegal Niokholo Mandenka1.6
[3]Mbenzele Pygmy (C. Afr. Rep.)1.5
[3]Iran Baloch1.5
[3]Pakistan Baloch1.5
[3]Sudanese1.5
[3]Tunisia1.5
[3]Pakistan Brahui1.4
[3]Cameroon Bamileke1.3
[3]Oman1.3
[3]Sudanese1.3
[3]Tunisia Tunis1.1
[3]Zimbabwe Harare Shona1.1
[3]Cameroon Bakola Pygmy1.0
[3]Pakistan Pathan1.0
[3]Portugal Centre1.0
[3]Saudi Arabia Guraiat and Hail1.0
[3]Morocco Casablanca0.9
[3]Senegal Dakar0.9
[3]Uganda Kampala0.9
[3]Cape Verde Southeastern Islands0.8
[3]Guinea Bissau0.8
[3]United Arab Emerates0.8
[3]Morocco Nador Metalsa Class I0.7
[3]Pakistan Karachi Parsi0.6
[3]Spain Majorca0.6
[3]China Yunnan Han pop20.5
[3]England Newcastle0.5
[3]Israel Arab Druse0.5
[3]Israel Jews0.5
[3]Italy Rome0.5
[3]Guadalajara Mestizos (2) (Mexico)0.5
[3]Morocco0.5
[3]Pakistan Sindhi0.5
[3]Senegal Niokholo Mandenka0.5
[3]Singapore Riau Malay0.5
gollark: Technically only PD, but whatever.
gollark: I use PID control in a bunch of flight control code for Minecraft. It works quite well.
gollark: I mean, you'd have to program it to or train it on those, but it isn't impossible.
gollark: Good, because neural networks are excellent at that.
gollark: But right now, at least, it isn't very capable of generally intelligent stuff, which is probably for the best.

References

  1. 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.
  2. derived from IMGT/HLA
  3. 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)
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