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*15

Allele reported 157 time(s) and present in 144 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
INDIndia Kerala Hindu Ezhava0.271024See
PAKPakistan Baloch0.189066See
PAKPakistan Brahui0.1830104See
INDIndia Kerala Hindu Namboothiri0.163040See
PAKPakistan Mixed Sindhi0.1550101See
IRNIran pop 40.1476855See
INDIndia Kerala Hindu Nair0.146041See
INDIndia Kerala Malabar Muslim0.132034See
PAKPakistan Kalash0.130069See
TTOTrinidad South Asian0.130087See
VNMVietnam Hanoi0.130050See
SAUSaudi Arabia pop 422.50.1259499See
PAKPakistan Mixed Pathan0.1200100See
ALBAlbanian Kosovo0.1125120See
INDIndia Kerala Syrian Christian0.112031See
ALBAlbania pop 221.00.1115432See
ALBAlbania0.1100160See
MNGMongolia Oold0.1060104See
MKDMacedonia MBMDR - Macedonian Muslims19.70.105376See
ITAItaly North pop 320.00.100097See
INDIndia Kerala Kurichiya0.100010See
LKASri Lanka Colombo Sinhalese0.0990101See
SDNSudan East Rashaida18.50.097227See
INDIndia Kerala Adiya0.095021See
INDIndia Kerala Hindu Pulaya0.094016See
MMRMyanmar Mon15.60.085964See
PAKPakistan Karachi Parsi0.082091See
KURIraq Kurdistan Region15.30.0810209See
MNGMongolia Khalkha0.0800200See
MKDMacedonia pop 40.0760216See
INDIndia North Gujarat14.30.0714338See
BRABrazil Pernambuco Mixed0.0690101See
MKDMacedonia0.0682286See
MKDMacedonia MBMDR - Macedonian12.90.06781283See
GRCGreece pop313.00.0672246See
PERPeru Arequipa Mestizo12.20.0670168See
MMRMyanmar Bamar13.00.065246See
USAUSA South Dakota Lakota Sioux0.0650302See
IRQIraq Erbil12.20.0637372See
TUNTunisia12.00.0620100See
GRCGreece pop 70.060511250See
RUSRussia Murmansk Saomi Mixed0.060070See
PRTAzores Terceira Island0.0580130See
PRTPortugal North pop 20.05681801See
MNGMongolia Tsaatan0.0560144See
MKDMacedonia MBMDR - Albanian10.90.0547128See
ITAItaly Sardinia pop30.0540100See
MMRMyanmar Rakhine8.30.052148See
ARGArgentina La Plata11.00.0520100See
ESPSpain Majorcans Jews0.0500103See
INDIndia Kerala Paniya0.050010See
INDIndia Kerala Malapandaram0.050010See
ROMRomania pop 20.05006936See
VENVenezuela Caracas Mestizo0.050050See
ESPSpain Majorca and Minorca0.049090See
PRTPortugal Center pop 20.0480562See
SRBSerbia pop 39.40.04721992See
RUSRussia Sakhalin Island Nivkhi0.047053See
ESPSpain, Castilla y Leon, Northwest,8.20.04611743See
PAKPakistan Burusho0.046092See
ITAItaly North Pavia pop 30.0458685See
SRBSerbia Vojvodina8.70.0430400See
ROMRomania pop 37.80.04251469See
BRABrazil Curitiba-Parana Mixed0.0424264See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.042096See
HRVCroatia pop 38.30.0417120See
FRAFrance Grenoble8.30.04131000See
VENVenezuela Colonia Tovar0.040786See
ITAItaly East Sicily8.00.040050See
BRABrazil Parana Japanese8.00.0391192See
THAThailand Northeast0.039066See
ENGEngland North West Mixed pop 27.40.0383379See
CHNChina Wuhan7.50.0380121See
ESPSpain Galicia and Murcia7.40.0377473See
GBRUnited Kingdom Central0.0370135See
ARGArgentina Buenos Aires7.40.0370466See
ITAItaly Bergamo5.90.0370101See
RUSRussia Tatars0.0366355See
FRAFrance Lyon7.30.03664813See
FRAFrance Marseille7.20.03591000See
ESPSpain Murcia7.00.0356173See
ESPSpain Ibiza0.035088See
CUBCuba Mixed pop 20.0350189See
MEXMexico Mexico City Mestizo pop 30.0350256See
FRAFrance Bordeaux7.00.0348990See
FRAFrance Grenoble, Nantes and Rennes0.03306094See
CHNChina Shandong Province Linqu County6.50.0330139See
NGANigeria6.60.0330258See
SDNSudan South Nuba6.50.033046See
SRBSerbia0.0320386See
SVNSlovenia pop 36.20.0310130See
CMRCameroon Bakola Pygmy6.00.030450See
FRAFrance Corsica Island0.0300100See
ITAItaly Rome6.00.0300100See
ENGEngland Lancaster5.60.0284545See
BFABurkina Faso Mossi0.028053See
KORSouth Korea pop 10.0280324See
SWESweden pop 45.50.0280966See
MMRMyanmar Chin5.50.027355See
FRAFrance Rennes pop 45.20.02621000See
VENVenezuela Zulia Maracaibo Mixed0.025020See
NORNorway Sami0.0240200See
RUSRussia Moscow0.02402650See
MEXMexico Mestizo pop 40.0238269See
POLPoland pop 34.60.02302907See
INDIndia Kerala Kanikkar0.023022See
ENGEngland London Ashkenazi Jews0.0230500See
WALWales pop 24.60.023039979See
GBRUnited Kingdom South West0.0215163See
GBRUnited Kingdom East0.0215163See
GBRUnited Kingdom North0.0210330See
BFABurkina Faso Rimaibe0.021047See
USAUSA African American Bethesda4.20.0210187See
RUSRussia Arkhangelsk Pomor0.020063See
POLPoland Wroclaw4.00.0200123See
POLPoland Lower Silesia Region4.10.0200123See
ENGEngland Sheffield3.90.01964755See
CZECzech Republic0.0190106See
ENGEngland Newcastle3.70.01862739See
MMRMyanmar Shan3.70.018554See
MMRMyanmar Kayah3.60.018255See
ENGEngland Manchester3.60.01811640See
DEUGermany Essen3.50.0180174See
RWARwanda0.0180280See
NORNorway ethnic Norwegians3.50.01794510See
ENGEngland Leeds3.20.01615024See
NORNorway pop 20.0160576See
MMRMyanmar Kachin3.20.015963See
RUSRussia Northwest pop 33.00.0150100See
ESPSpain Minorca0.015094See
ENGEngland Liverpool2.80.01411343See
CMRCameroon Bamileke 20.014035See
MEXMexico Tapachula, Chiapas Mestizo Population2.80.013972See
POLPoland North2.50.012580See
ITAItaly North Pavia0.012081See
MMRMyanmar Kayin2.30.011444See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.011094See
TTOTrinidad African0.010067See
ESPSpain Majorca0.0100407See
TURTurkey pop 50.0070142See
CHLChile Santiago Mixed1.00.005070See
BELBelgium1.00.005099See
GNQEquatorial Guinea Bioko Island Bubi0.0050100See
GBRUnited Kingdom Orkney0.000088See
INDIndia Kerala Kattunaikka0.000017See
INDIndia Kerala Kuruma0.000015See
BFABurkina Faso Fulani0.000049See
CAFCentral African Republic Mbenzele Pygmy0.00.000036See
CMRCameroon Ewondo0.000038See
CHNChina North Han0.0000105See
CMRCameroon Uldeme0.000035See
CMRCameroon Podokwo0.000043See
SCOScotland Orkney0.00.000099See
RUSRussia Nenet Mixed0.000055See
MYSMalaysia Negeri Sembilan Minangkabau0.000034See
MYSMalaysia Perak Rawa0.000023See

See also higher resolution data of this allele


Allele  Number of Populations 
 C*15:02:02 
 C*15:36 
 C*15:18 
 C*15:114 
 C*15:193 
 C*15:17 11 
 C*15:174 
 C*15:05:04 
 C*15:04:01 
 C*15:04:01:01 
 C*15:65 
 C*15:02:21 
 C*15:130 
 C*15:03 55 
 C*15:102 
 C*15:02:01 71 
 C*15:29 
 C*15:05 179 
 C*15:06:01 
 C*15:02:04 
 C*15:07:01:01 
 C*15:06 60 
 C*15:05:01 23 
 C*15:111 
 C*15:63 
 C*15:48 
 C*15:13:01 
 C*15:41 
 C*15:158 
 C*15:40 
 C*15:39 
 C*15:50 
 C*15:176 
 C*15:02:01:01 
 C*15:25 
 C*15:38 
 C*15:52 
 C*15:19 
 C*15:10:02 
 C*15:185N 
 C*15:201 
 C*15:42 
 C*15:24 
 C*15:64 
 C*15:05:02 20 
 C*15:04 135 
 C*15:23 
 C*15:26 
 C*15:72 
 C*15:45 
 C*15:58 
 C*15:32Q 
 C*15:37 
 C*15:22 
 C*15:15 
 C*15:08 50 
 C*15:02:01:08N 
 C*15:76 
 C*15:68 
 C*15:132 
 C*15:74 
 C*15:21 
 C*15:30 
 C*15:59 
 C*15:13 20 
 C*15:69 
 C*15:02:25 
 C*15:09 63 
 C*15:16 
 C*15:103 
 C*15:27 
 C*15:125 
 C*15:10 31 
 C*15:05:03 
 C*15:11 35 
 C*15:02:05 
 C*15:62 
 C*15:02 231 
 C*15:28 
 C*15:44 
 C*15:07 81 
 C*15:169 
 C*15:12 
 C*15:10:01 
 C*15:02:44 
 C*15:56 
 C*15:02:03 
 C*15:05:01:01 

* 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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