Allele Frequencies in World Populations

HLA Database » Allele Report

The list below shows all populations in AFND that contains the allele at this level. If an allele has an entry with a higher resolution this will be shown at the end.

   

C*04

Allele reported 165 time(s) and present in 163 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
MMRMyanmar Kayin79.50.522744See
MMRMyanmar Kayah70.90.454555See
INDIndia Kerala Kattunaikka0.412017See
PERPeru Arequipa Mestizo60.10.3740168See
MYSMalaysia Negeri Sembilan Minangkabau0.340034See
CMRCameroon Podokwo0.326043See
NGANigeria50.00.3101258See
INDIndia Kerala Kuruma0.300015See
SDNSudan South Nuba50.00.292846See
INDIndia Kerala Malabar Muslim0.279034See
INDIndia North pop 20.265072See
BFABurkina Faso Rimaibe0.255047See
ARGArgentina La Plata43.00.2400100See
PAKPakistan Brahui0.2310104See
CMRCameroon Bamileke 20.229035See
BRABrazil Pernambuco Mixed0.2280101See
BFABurkina Faso Mossi0.226053See
INDIndia Kerala Syrian Christian0.226031See
PAKPakistan Baloch0.220066See
MYSMalaysia Perak Rawa0.220023See
RWARwanda0.2190280See
MEXMexico Tapachula, Chiapas Mestizo Population36.10.215372See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.213094See
INDIndia Kerala Hindu Namboothiri0.213040See
TTOTrinidad African0.210067See
ITAItaly East Sicily40.00.210050See
ITAItaly North Pavia0.204081See
ROMRomania pop 336.30.19941469See
ENGEngland London Ashkenazi Jews0.1990500See
FRAFrance Corsica Island0.1980100See
USAUSA African American Bethesda35.10.1970187See
MEXMexico Mexico City Mestizo pop 30.1910256See
RUSRussia Murmansk Saomi Mixed0.190070See
INDIndia Kerala Hindu Pulaya0.188016See
CMRCameroon Uldeme0.186035See
MMRMyanmar Shan35.20.185254See
MKDMacedonia0.1836286See
INDIndia Kerala Kanikkar0.182022See
PAKPakistan Karachi Parsi0.181091See
ITAItaly South Campania Region32.90.18081089See
GRCGreece pop 70.176811250See
ITAItaly Sardinia pop30.1750100See
TURTurkey pop 50.1730142See
CUBCuba Mixed pop 20.1730189See
MKDMacedonia MBMDR - Albanian32.00.1719128See
ITAItaly North Pavia pop 30.1715685See
BRABrazil Curitiba-Parana Mixed0.1674264See
PAKPakistan Mixed Pathan0.1650100See
GRCGreece pop330.10.1639246See
MMRMyanmar Bamar28.30.163046See
MKDMacedonia pop 40.1600216See
KURIraq Kurdistan Region30.10.1600209See
PRTPortugal North pop 20.15931801See
ARGArgentina Buenos Aires27.70.1590466See
ITAItaly Bergamo31.70.1590101See
ESPSpain Majorca and Minorca0.159090See
MEXMexico Mestizo pop 40.1587269See
RUSRussia Tatars0.1577355See
CHNChina Yunnan Province Nu0.1570107See
ALBAlbania0.1550160See
PRTAzores Terceira Island0.1550130See
ALBAlbania pop 227.40.1529432See
IRQIraq Erbil29.30.1529372See
ESPSpain Galicia and Murcia28.10.1520473See
MKDMacedonia MBMDR - Macedonian Muslims27.60.151376See
MKDMacedonia MBMDR - Macedonian27.60.15121283See
ROMRomania pop 20.15006936See
VENVenezuela Zulia San Jose de Heras Mixed0.150020See
ITAItaly Rome27.00.1500100See
INDIndia Kerala Kurichiya0.150010See
INDIndia Kerala Malapandaram0.150010See
ESPSpain Ibiza0.149088See
INDIndia Kerala Hindu Ezhava0.146024See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.146096See
ESPSpain Murcia27.00.1456173See
MMRMyanmar Chin25.50.145555See
SVNSlovenia pop 326.90.1450130See
SRBSerbia0.1440386See
INDIndia Kerala Adiya0.143021See
POLPoland Lower Silesia Region26.00.1420123See
TTOTrinidad South Asian0.140087See
POLPoland Wroclaw26.00.1400123See
VENVenezuela Colonia Tovar0.139586See
IRNIran pop 40.1388855See
ESPSpain, Castilla y Leon, Northwest,25.10.13711743See
SRBSerbia pop 326.40.13521992See
FRAFrance Marseille26.80.13421000See
PAKPakistan Burusho0.133092See
THAThailand Northeast0.131066See
PAKPakistan Kalash0.130069See
RUSRussia Northwest pop 324.00.1300100See
LKASri Lanka Colombo Sinhalese0.1290101See
POLPoland pop 325.70.12872907See
RUSRussia Moscow0.12802650See
FRAFrance Lyon25.30.12654813See
AUTAustria Cord Bloods0.12521368See
MMRMyanmar Rakhine25.00.125048See
SRBSerbia Vojvodina23.50.1220400See
HRVCroatia pop 324.20.1208120See
THAThailand Northeast pop 20.1200400See
RUSRussia Arkhangelsk Pomor0.120063See
FRAFrance Bordeaux23.90.1198990See
BELBelgium23.20.119099See
FRAFrance Grenoble23.60.11801000See
CMRCameroon Ewondo0.118038See
FRAFrance Grenoble, Nantes and Rennes0.11606094See
TUNTunisia22.00.1160100See
POLPoland North21.30.112880See
DZAAlgeria pop 221.00.1111106See
GNQEquatorial Guinea Bioko Island Bubi0.1100100See
VENVenezuela Caracas Mestizo0.110050See
MMRMyanmar Mon21.90.109464See
ENGEngland North West Mixed pop 221.40.1082379See
ESPSpain Minorca0.108094See
PAKPakistan Mixed Sindhi0.1070101See
SAUSaudi Arabia pop 418.70.1056499See
NORNorway pop 20.1010576See
SWESweden pop 418.80.1009966See
ALBAlbanian Kosovo0.1000120See
VENVenezuela Zulia Maracaibo Mixed0.100020See
ESPSpain Majorcans Jews0.1000103See
FRAFrance Rennes pop 419.80.09911000See
ESPSpain Catalonia Girona0.098088See
NORNorway Sami0.0950200See
ENGEngland Lancaster18.00.0944545See
ENGEngland Sheffield17.60.09224755See
SDNSudan Khartoum0.091898See
ENGEngland Liverpool17.40.09111343See
ESPSpain Gipuzkoa Basque0.0910100See
ENGEngland Newcastle16.80.08782739See
NORNorway ethnic Norwegians16.60.08724510See
CMRCameroon Bakola Pygmy16.00.083450See
RUSRussia Nenet Mixed0.083055See
ENGEngland Leeds15.80.08235024See
CHNChina Yunnan Province Lisu0.0820111See
GBRUnited Kingdom Central0.0815135See
WALWales pop 215.50.081039979See
ENGEngland Manchester15.00.07801640See
MNGMongolia Oold0.0770104See
GBRUnited Kingdom South West0.0767163See
CHNChina Wuhan14.20.0750121See
INDIndia Kerala Hindu Nair0.073041See
SDNSudan Central Shaigiya Mixed13.90.072136See
INDIndia North Gujarat14.30.0714338See
BFABurkina Faso Fulani0.071049See
CHNChina Shandong Province Linqu County13.70.0710139See
VNMVietnam Hanoi0.070050See
GBRUnited Kingdom North0.0691330See
MNGMongolia Tsaatan0.0690144See
SCOScotland Orkney12.50.063099See
ESPSpain Majorca0.0600407See
MNGMongolia Khalkha0.0600200See
GBRUnited Kingdom East0.0583163See
SDNSudan East Rashaida11.10.057127See
JPNJapan Hyogo9.40.047032See
BRABrazil Parana Japanese9.00.0469192See
JPNJapan Aichi8.30.043050See
RUSRussia Sakhalin Island Nivkhi0.038053See
GBRUnited Kingdom Orkney0.034188See
JPNJapan pop 20.0320916See
MMRMyanmar Kachin6.30.031763See
RUSRussia Bashkortostan, Tatars0.50.0026192See
CHNChina North Han0.0000105See
INDIndia Kerala Paniya0.000010See

See also higher resolution data of this allele


Allele  Number of Populations 
 C*04:54 
 C*04:133 
 C*04:78 
 C*04:65 
 C*04:01:03 
 C*04:75 
 C*04:26 
 C*04:55 
 C*04:118 
 C*04:201 
 C*04:227 
 C*04:64 
 C*04:30 
 C*04:16 
 C*04:04 94 
 C*04:01:82 
 C*04:114 
 C*04:86 
 C*04:34 
 C*04:199 
 C*04:240 
 C*04:349N 
 C*04:209 
 C*04:245 
 C*04:35 
 C*04:01:16 
 C*04:96 
 C*04:360 
 C*04:186 
 C*04:50 
 C*04:17 
 C*04:46 
 C*04:95N 
 C*04:246 
 C*04:72 
 C*04:51 
 C*04:62 
 C*04:219 
 C*04:293 
 C*04:132 
 C*04:124 
 C*04:49 
 C*04:01 248 
 C*04:73 
 C*04:47 
 C*04:52 
 C*04:63 
 C*04:226 
 C*04:03 157 
 C*04:61 
 C*04:120 
 C*04:71 
 C*04:301 
 C*04:113 
 C*04:53 
 C*04:267 
 C*04:276 
 C*04:01:02 
 C*04:23 
 C*04:13 17 
 C*04:110 
 C*04:06 71 
 C*04:31 
 C*04:206 
 C*04:177 
 C*04:70 
 C*04:32 
 C*04:15:02 
 C*04:107 
 C*04:15:01 
 C*04:143 
 C*04:33 
 C*04:228 
 C*04:12 
 C*04:36 
 C*04:01:33 
 C*04:340 
 C*04:11 15 
 C*04:04:02 
 C*04:104 
 C*04:20 
 C*04:10 33 
 C*04:218 
 C*04:343 
 C*04:14 12 
 C*04:24 
 C*04:37 
 C*04:142 
 C*04:131 
 C*04:146 
 C*04:40 
 C*04:25 
 C*04:01:01 37 
 C*04:15 19 
 C*04:48 
 C*04:56 
 C*04:225N 
 C*04:01:01:05 
 C*04:223 
 C*04:66 
 C*04:217N 
 C*04:244 
 C*04:07 80 
 C*04:313 
 C*04:06:01 
 C*04:09N 13 
 C*04:98:01 
 C*04:28 
 C*04:45 
 C*04:04:01 
 C*04:03:01 11 
 C*04:01:01:02 
 C*04:44 
 C*04:198 
 C*04:08 25 
 C*04:166 
 C*04:01:04 
 C*04:82 
 C*04:139 
 C*04:39 
 C*04:05 27 
 C*04:83 
 C*04:01:09 
 C*04:92 
 C*04:67 
 C*04:77 
 C*04:344 
 C*04:90 
 C*04:01:08 
 C*04:38 
 C*04:01:43 
 C*04:261 
 C*04:178 
 C*04:42 
 C*04:41 
 C*04:200 
 C*04:01:01:01 32 
 C*04:18 
 C*04:108 
 C*04:43 
 C*04:102 
 C*04:93N 
 C*04:58 
 C*04:27 
 C*04:07:01 
 C*04:19 
 C*04:29 10 

* This list corresponds to those alleles that have been reported in AFND only (i.e. only positive findings).


Notes:

* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
   Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* Phenotype Frequency: Percentage of individuals who have the allele or gene (Individuals / n).
* Allele Frequencies shown in green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.

¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional