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*07

Allele reported 156 time(s) and present in 154 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
POLPoland North66.20.418680See
MMRMyanmar Rakhine68.80.385448See
GBRUnited Kingdom Orkney0.380788See
SCOScotland Orkney64.40.378099See
ENGEngland Lancaster60.30.3699545See
GBRUnited Kingdom South West0.3681163See
GBRUnited Kingdom North0.3664330See
MMRMyanmar Kachin55.60.365163See
ENGEngland Liverpool58.10.35271343See
WALWales pop 258.00.352039979See
INDIndia Kerala Kurichiya0.350010See
ENGEngland Leeds57.50.34805024See
MEXMexico Tapachula, Chiapas Mestizo Population52.80.347272See
ENGEngland Newcastle57.30.34652739See
ENGEngland Sheffield57.10.34504755See
NORNorway ethnic Norwegians57.10.34454510See
ENGEngland Manchester57.00.34421640See
BELBelgium65.70.340099See
CHESwitzerland Geneva0.336080See
GBRUnited Kingdom Central0.3333135See
NORNorway Sami0.3300200See
ITAItaly East Sicily48.00.320050See
ITAItaly Rome54.00.3200100See
SWESweden pop 453.80.3194966See
INDIndia Kerala Hindu Nair0.318041See
ARGArgentina La Plata54.00.3160100See
GBRUnited Kingdom East0.3160163See
PAKPakistan Burusho0.311092See
MYSMalaysia Negeri Sembilan Minangkabau0.310034See
NORNorway pop 20.3080576See
SDNSudan East Rashaida51.90.306427See
FRAFrance Rennes pop 453.60.30291000See
CMRCameroon Bamileke 20.300035See
FRAFrance Grenoble, Nantes and Rennes0.29506094See
AUTAustria Cord Bloods0.29031368See
CAFCentral African Republic Mbenzele Pygmy49.50.289336See
MMRMyanmar Mon53.10.289164See
POLPoland Lower Silesia Region43.10.2890123See
SVNSlovenia pop 348.50.2820130See
MKDMacedonia0.2797286See
FRAFrance Corsica Island0.2790100See
POLPoland Wroclaw48.00.2790123See
ROMRomania pop 349.00.27781469See
SDNSudan South Nuba47.80.277546See
ESPSpain Minorca0.277094See
ESPSpain Gipuzkoa Basque0.2770100See
ENGEngland North West Mixed pop 253.00.2770379See
BRABrazil Curitiba-Parana Mixed0.2746264See
FRAFrance Grenoble49.60.27211000See
MMRMyanmar Bamar45.70.271746See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.271094See
THAThailand Northeast0.271066See
POLPoland pop 353.90.26972907See
MKDMacedonia MBMDR - Macedonian45.10.26581283See
ESPSpain Majorca0.2650407See
RUSRussia Northwest pop 348.00.2650100See
CMRCameroon Ewondo0.263038See
MEXMexico Mexico City Mestizo pop 30.2620256See
ROMRomania pop 20.26006936See
ESPSpain Murcia45.00.2583173See
FRAFrance Bordeaux47.70.2581990See
RUSRussia Moscow0.25702650See
FRAFrance Lyon47.40.25684813See
FRAFrance Marseille46.20.25071000See
RWARwanda0.2500280See
LKASri Lanka Colombo Sinhalese0.2500101See
MMRMyanmar Shan44.40.250054See
USAUSA African American Bethesda42.60.2500187See
VENVenezuela Zulia San Jose de Heras Mixed0.250020See
ESPSpain Galicia and Murcia43.60.2490473See
SAUSaudi Arabia pop 444.10.2487499See
SRBSerbia pop 344.00.24841992See
RUSRussia Tatars0.2478355See
PAKPakistan Mixed Sindhi0.2430101See
MKDMacedonia pop 40.2430216See
SRBSerbia Vojvodina42.70.2420400See
ITAItaly North Pavia0.241081See
MYSMalaysia Perak Rawa0.240023See
MKDMacedonia MBMDR - Albanian40.60.2383128See
PRTPortugal North pop 20.23821801See
MEXMexico Mestizo pop 40.2381269See
ALBAlbanian Kosovo0.2375120See
ITAItaly South Campania Region41.70.23641089See
ESPSpain, Castilla y Leon, Northwest,40.50.23631743See
ARGArgentina Buenos Aires40.80.2360466See
ITAItaly North pop 346.70.232097See
MKDMacedonia MBMDR - Macedonian Muslims38.20.230376See
TTOTrinidad South Asian0.230087See
TTOTrinidad African0.230067See
PRTPortugal Center pop 20.2290562See
INDIndia Kerala Hindu Ezhava0.229024See
ITAItaly North Pavia pop 30.2224685See
PRTAzores Terceira Island0.2210130See
HRVCroatia pop 344.20.2208120See
ALBAlbania pop 236.90.2166432See
SRBSerbia0.2160386See
GNQEquatorial Guinea Bioko Island Bubi0.2150100See
INDIndia North Gujarat40.00.2143338See
INDIndia Kerala Hindu Namboothiri0.213040See
ALBAlbania0.2100160See
VENVenezuela Caracas Mestizo0.210050See
BRABrazil Pernambuco Mixed0.2030101See
JPNJapan Hyogo40.60.203032See
ITAItaly Sardinia pop30.1940100See
ESPSpain Majorca and Minorca0.193090See
GRCGreece pop 70.191911250See
IRNIran pop 40.1916855See
KURIraq Kurdistan Region33.50.1890209See
ITAItaly Bergamo36.60.1880101See
INDIndia Kerala Hindu Pulaya0.188016See
ESPSpain Ibiza0.184088See
GRCGreece pop332.90.1808246See
BRABrazil Parana Japanese32.00.1719192See
CMRCameroon Uldeme0.171035See
JPNJapan Aichi30.60.171050See
TUNTunisia33.00.1710100See
NGANigeria32.20.1705258See
VNMVietnam Hanoi0.170050See
DZAAlgeria pop 231.00.1693106See
VENVenezuela Colonia Tovar0.168686See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.167096See
IRNIran Tehran0.1660120See
MNGMongolia Khalkha0.1650200See
ESPSpain Majorcans Jews0.1640103See
MMRMyanmar Chin29.10.163655See
MMRMyanmar Kayah29.10.163655See
INDIndia North pop 20.162072See
PAKPakistan Mixed Pathan0.1600100See
PAKPakistan Brahui0.1590104See
ESPSpain Catalonia Girona0.155088See
CUBCuba Mixed pop 20.1550189See
IRQIraq Erbil29.30.1529372See
PAKPakistan Kalash0.152069See
CMRCameroon Podokwo0.151043See
INDIndia Kerala Malabar Muslim0.147034See
INDIndia Kerala Syrian Christian0.145031See
INDIndia Kerala Adiya0.143021See
VENVenezuela Zulia Maracaibo Mixed0.125020See
JPNJapan pop 20.1220916See
SDNSudan Central Shaigiya Mixed22.20.117936See
MMRMyanmar Kayin20.50.113644See
PERPeru Arequipa Mestizo20.90.1110168See
SENSenegal Niokholo Mandenka0.1080165See
MNGMongolia Oold0.1060104See
CHNChina Shandong Province Linqu County18.70.0983139See
MNGMongolia Tsaatan0.0970144See
CMRCameroon Bakola Pygmy18.00.094450See
INDIndia Kerala Kanikkar0.091022See
INDIndia Kerala Kuruma0.067015See
RUSRussia Sakhalin Island Nivkhi0.057053See
INDIndia Kerala Paniya0.050010See
INDIndia Kerala Kattunaikka0.029017See
CHLChile Santiago Mixed3.00.015170See
CHNChina North Han0.0000105See
INDIndia Kerala Malapandaram0.000010See

See also higher resolution data of this allele


Allele  Number of Populations 
 C*07:01:06 
 C*07:43 13 
 C*07:156 
 C*07:98N 
 C*07:287 
 C*07:376 
 C*07:86 
 C*07:168 
 C*07:207 
 C*07:463 
 C*07:241 
 C*07:256 
 C*07:209 
 C*07:511 
 C*07:61N 
 C*07:384 
 C*07:526 
 C*07:689 
 C*07:73 
 C*07:556 
 C*07:309 
 C*07:397 
 C*07:400 
 C*07:545 
 C*07:27 37 
 C*07:248 
 C*07:630 
 C*07:147 
 C*07:60 
 C*07:16 28 
 C*07:58 
 C*07:90 
 C*07:32N 
 C*07:135 
 C*07:08 48 
 C*07:116 
 C*07:391 
 C*07:42 
 C*07:71 
 C*07:121Q 
 C*07:257:01 
 C*07:330 
 C*07:555 
 C*07:222 
 C*07:139 
 C*07:663Q 
 C*07:169 
 C*07:41 
 C*07:18:01 
 C*07:72 
 C*07:216 
 C*07:131 
 C*07:161 
 C*07:172:02 
 C*07:68 
 C*07:462 
 C*07:50 
 C*07:02:08 
 C*07:04:02 
 C*07:56:02 
 C*07:04 199 
 C*07:112 
 C*07:02:13 
 C*07:02:04 
 C*07:31 
 C*07:92 
 C*07:143 
 C*07:65 
 C*07:631 
 C*07:01:16 
 C*07:250 
 C*07:54 
 C*07:408 
 C*07:146 
 C*07:512 
 C*07:93 
 C*07:409 
 C*07:26:01 
 C*07:104N 
 C*07:64 
 C*07:36 
 C*07:552 
 C*07:374 
 C*07:679 
 C*07:05 84 
 C*07:29:01 
 C*07:02:01:01 31 
 C*07:53 
 C*07:141 
 C*07:214 
 C*07:487 
 C*07:02:11 
 C*07:262 
 C*07:550 
 C*07:137 
 C*07:712 
 C*07:130 
 C*07:136 
 C*07:108 
 C*07:37 
 C*07:29 30 
 C*07:513Q 
 C*07:02 255 
 C*07:77 
 C*07:354 
 C*07:386 
 C*07:165 
 C*07:02:06 
 C*07:205 
 C*07:132 
 C*07:52 
 C*07:503 
 C*07:51 
 C*07:392 
 C*07:249 
 C*07:371 
 C*07:238 
 C*07:755 
 C*07:142 
 C*07:240 
 C*07:360 
 C*07:627 
 C*07:163 
 C*07:28 
 C*07:178 
 C*07:19 23 
 C*07:133 
 C*07:314 
 C*07:437N 
 C*07:17 29 
 C*07:124 
 C*07:62 
 C*07:257 
 C*07:319 
 C*07:76 
 C*07:25 10 
 C*07:466 
 C*07:564 
 C*07:381 
 C*07:63 
 C*07:411 
 C*07:89 
 C*07:174 
 C*07:01:02 41 
 C*07:188 
 C*07:95 
 C*07:704 
 C*07:654 
 C*07:46 
 C*07:87 
 C*07:199 
 C*07:540 
 C*07:699 
 C*07:02:02 
 C*07:652 
 C*07:519 
 C*07:03 57 
 C*07:292 
 C*07:179 
 C*07:94 
 C*07:02:01:02 
 C*07:109 
 C*07:14 39 
 C*07:66 
 C*07:105 
 C*07:173 
 C*07:440 
 C*07:97 
 C*07:39 
 C*07:101 
 C*07:148 
 C*07:185 
 C*07:80 
 C*07:311 
 C*07:99 
 C*07:224 
 C*07:78 
 C*07:242 
 C*07:20 
 C*07:103 
 C*07:129 
 C*07:548 
 C*07:162 
 C*07:01:09 
 C*07:164N 
 C*07:406 
 C*07:710 
 C*07:79 
 C*07:151 
 C*07:269 
 C*07:02:18 
 C*07:247 
 C*07:683 
 C*07:01:11 
 C*07:681 
 C*07:55N 
 C*07:01:05 
 C*07:47 
 C*07:158 
 C*07:110 
 C*07:509 
 C*07:38 
 C*07:01:03 
 C*07:49 
 C*07:15 20 
 C*07:33N 
 C*07:504 
 C*07:725 
 C*07:529 
 C*07:278 
 C*07:06:01 
 C*07:01 237 
 C*07:02:03 
 C*07:152N 
 C*07:524 
 C*07:204 
 C*07:150Q 
 C*07:88 
 C*07:02:36 
 C*07:22 27 
 C*07:523 
 C*07:154 
 C*07:553 
 C*07:442 
 C*07:243 
 C*07:01:10 
 C*07:346 
 C*07:719 
 C*07:177 
 C*07:296 
 C*07:04:01 38 
 C*07:27:02 
 C*07:85 
 C*07:118 
 C*07:672N 
 C*07:551N 
 C*07:192 
 C*07:527 
 C*07:56 14 
 C*07:518 
 C*07:18 24 
 C*07:187 
 C*07:02:01:03 
 C*07:84 
 C*07:107 
 C*07:140 
 C*07:322 
 C*07:175 
 C*07:31:01 
 C*07:114 
 C*07:633N 
 C*07:24 22 
 C*07:10 37 
 C*07:698 
 C*07:06 49 
 C*07:01:01 64 
 C*07:255 
 C*07:370 
 C*07:595 
 C*07:75 
 C*07:26 27 
 C*07:120 
 C*07:126 
 C*07:491 
 C*07:11 35 
 C*07:02:01 35 
 C*07:09 40 
 C*07:96 
 C*07:273 
 C*07:182 
 C*07:517 
 C*07:102 
 C*07:340 
 C*07:303 
 C*07:637 
 C*07:07 71 
 C*07:02:52 
 C*07:01:07 
 C*07:312 
 C*07:67 
 C*07:308 
 C*07:181 
 C*07:113 
 C*07:69 
 C*07:578 
 C*07:04:03 
 C*07:483N 
 C*07:48 
 C*07:117 
 C*07:294 
 C*07:74 
 C*07:328 
 C*07:212 
 C*07:276 
 C*07:402 
 C*07:30 
 C*07:508 
 C*07:283 
 C*07:02:10 
 C*07:56:01 
 C*07:57 
 C*07:258 
 C*07:02:09 
 C*07:525 
 C*07:59 
 C*07:138 
 C*07:157 
 C*07:13 41 
 C*07:145 
 C*07:252 
 C*07:40 
 C*07:01:08 
 C*07:02:07 
 C*07:127 
 C*07:02:05 
 C*07:547 
 C*07:82 
 C*07:171 
 C*07:528 
 C*07:456 
 C*07:653 
 C*07:01:04 
 C*07:119 
 C*07:757 
 C*07:342 
 C*07:554 
 C*07:70 
 C*07:27:01 
 C*07:134 
 C*07:44 
 C*07:91 
 C*07:170 
 C*07:155 
 C*07:83 
 C*07:176 
 C*07:21 14 
 C*07:122 
 C*07:218 
 C*07:23 
 C*07:12 30 
 C*07:507N 
 C*07:81 
 C*07:352 
 C*07:106 
 C*07:17:01 
 C*07:399 
 C*07:35 
 C*07:100 
 C*07:223 
 C*07:01:13 
 C*07:45 
 C*07:123 
 C*07:172 
 C*07:01:18 
 C*07:270 
 C*07:02:12 
 C*07:379 
 C*07:723 
 C*07:514 
 C*07:522 
 C*07:180 
 C*07:634 

* 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.

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