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).

	Phenotype Frequency (%)	Allele Frequency (in_decimals)	Sample Size	IMGT/HLA¹ Database
Myanmar Kayin	79.5	0.5227	44	See
Myanmar Kayah	70.9	0.4545	55	See
India Kerala Kattunaikka		0.4120	17	See
Peru Arequipa Mestizo	60.1	0.3740	168	See
Malaysia Negeri Sembilan Minangkabau		0.3400	34	See
Cameroon Podokwo		0.3260	43	See
Nigeria	50.0	0.3101	258	See
India Kerala Kuruma		0.3000	15	See
Sudan South Nuba	50.0	0.2928	46	See
India Kerala Malabar Muslim		0.2790	34	See
India North pop 2		0.2650	72	See
Burkina Faso Rimaibe		0.2550	47	See
Argentina La Plata	43.0	0.2400	100	See
Pakistan Brahui		0.2310	104	See
Cameroon Bamileke 2		0.2290	35	See
Brazil Pernambuco Mixed		0.2280	101	See
Burkina Faso Mossi		0.2260	53	See
India Kerala Syrian Christian		0.2260	31	See
Pakistan Baloch		0.2200	66	See
Malaysia Perak Rawa		0.2200	23	See
Rwanda		0.2190	280	See
Mexico Tapachula, Chiapas Mestizo Population	36.1	0.2153	72	See
Malaysia Perak and Johor Banjar Bugis Jawa		0.2130	94	See
India Kerala Hindu Namboothiri		0.2130	40	See
Italy East Sicily	40.0	0.2100	50	See
Trinidad African		0.2100	67	See
Italy North Pavia		0.2040	81	See
Romania pop 3	36.3	0.1994	1469	See
England London Ashkenazi Jews		0.1990	500	See
France Corsica Island		0.1980	100	See
USA African American Bethesda	35.1	0.1970	187	See
Mexico Mexico City Mestizo pop 3		0.1910	256	See
Russia Murmansk Saomi Mixed		0.1900	70	See
India Kerala Hindu Pulaya		0.1880	16	See
Cameroon Uldeme		0.1860	35	See
Myanmar Shan	35.2	0.1852	54	See
Macedonia		0.1836	286	See
India Kerala Kanikkar		0.1820	22	See
Pakistan Karachi Parsi		0.1810	91	See
Italy South Campania Region	32.9	0.1808	1089	See
Greece pop 7		0.1768	11250	See
Italy Sardinia pop3		0.1750	100	See
Cuba Mixed pop 2		0.1730	189	See
Turkey pop 5		0.1730	142	See
Macedonia MBMDR - Albanian	32.0	0.1719	128	See
Italy North Pavia pop 3		0.1715	685	See
Brazil Curitiba-Parana Mixed		0.1674	264	See
Pakistan Mixed Pathan		0.1650	100	See
Greece pop3	30.1	0.1639	246	See
Myanmar Bamar	28.3	0.1630	46	See
Iraq Kurdistan Region	30.1	0.1600	209	See
Macedonia pop 4		0.1600	216	See
Portugal North pop 2		0.1593	1801	See
Italy Bergamo	31.7	0.1590	101	See
Argentina Buenos Aires	27.7	0.1590	466	See
Spain Majorca and Minorca		0.1590	90	See
Mexico Mestizo pop 4		0.1587	269	See
Russia Tatars		0.1577	355	See
China Yunnan Province Nu		0.1570	107	See
Albania		0.1550	160	See
Azores Terceira Island		0.1550	130	See
Albania pop 2	27.4	0.1529	432	See
Iraq Erbil	29.3	0.1529	372	See
Spain Galicia and Murcia	28.1	0.1520	473	See
Macedonia MBMDR - Macedonian Muslims	27.6	0.1513	76	See
Macedonia MBMDR - Macedonian	27.6	0.1512	1283	See
Romania pop 2		0.1500	6936	See
India Kerala Kurichiya		0.1500	10	See
Italy Rome	27.0	0.1500	100	See
India Kerala Malapandaram		0.1500	10	See
Venezuela Zulia San Jose de Heras Mixed		0.1500	20	See
Spain Ibiza		0.1490	88	See
India Kerala Hindu Ezhava		0.1460	24	See
Venezuela Valencia and Maracaibo Caracus Mixed		0.1460	96	See
Spain Murcia	27.0	0.1456	173	See
Myanmar Chin	25.5	0.1455	55	See
Slovenia pop 3	26.9	0.1450	130	See
Serbia		0.1440	386	See
India Kerala Adiya		0.1430	21	See
Poland Lower Silesia Region	26.0	0.1420	123	See
Poland Wroclaw	26.0	0.1400	123	See
Trinidad South Asian		0.1400	87	See
Venezuela Colonia Tovar		0.1395	86	See
Iran pop 4		0.1388	855	See
Spain, Castilla y Leon, Northwest,	25.1	0.1371	1743	See
Serbia pop 3	26.4	0.1352	1992	See
France Marseille	26.8	0.1342	1000	See
Pakistan Burusho		0.1330	92	See
Thailand Northeast		0.1310	66	See
Pakistan Kalash		0.1300	69	See
Russia Northwest pop 3	24.0	0.1300	100	See
Sri Lanka Colombo Sinhalese		0.1290	101	See
Poland pop 3	25.7	0.1287	2907	See
Russia Moscow		0.1280	2650	See
France Lyon	25.3	0.1265	4813	See
Austria Cord Bloods		0.1252	1368	See
Myanmar Rakhine	25.0	0.1250	48	See
Serbia Vojvodina	23.5	0.1220	400	See
Croatia pop 3	24.2	0.1208	120	See
Russia Arkhangelsk Pomor		0.1200	63	See
Thailand Northeast pop 2		0.1200	400	See
France Bordeaux	23.9	0.1198	990	See
Belgium	23.2	0.1190	99	See
Cameroon Ewondo		0.1180	38	See
France Grenoble	23.6	0.1180	1000	See
France Grenoble, Nantes and Rennes		0.1160	6094	See
Tunisia	22.0	0.1160	100	See
Poland North	21.3	0.1128	80	See
Algeria pop 2	21.0	0.1111	106	See
Equatorial Guinea Bioko Island Bubi		0.1100	100	See
Venezuela Caracas Mestizo		0.1100	50	See
Myanmar Mon	21.9	0.1094	64	See
England North West Mixed pop 2	21.4	0.1082	379	See
Spain Minorca		0.1080	94	See
Pakistan Mixed Sindhi		0.1070	101	See
Saudi Arabia pop 4	18.7	0.1056	499	See
Norway pop 2		0.1010	576	See
Sweden pop 4	18.8	0.1009	966	See
Venezuela Zulia Maracaibo Mixed		0.1000	20	See
Spain Majorcans Jews		0.1000	103	See
Albanian Kosovo		0.1000	120	See
France Rennes pop 4	19.8	0.0991	1000	See
Spain Catalonia Girona		0.0980	88	See
Norway Sami		0.0950	200	See
England Lancaster	18.0	0.0944	545	See
England Sheffield	17.6	0.0922	4755	See
Sudan Khartoum		0.0918	98	See
England Liverpool	17.4	0.0911	1343	See
Spain Gipuzkoa Basque		0.0910	100	See
England Newcastle	16.8	0.0878	2739	See
Norway ethnic Norwegians	16.6	0.0872	4510	See
Cameroon Bakola Pygmy	16.0	0.0834	50	See
Russia Nenet Mixed		0.0830	55	See
England Leeds	15.8	0.0823	5024	See
China Yunnan Province Lisu		0.0820	111	See
United Kingdom Central		0.0815	135	See
Wales pop 2	15.5	0.0810	39979	See
England Manchester	15.0	0.0780	1640	See
Mongolia Oold		0.0770	104	See
United Kingdom South West		0.0767	163	See
China Wuhan	14.2	0.0750	121	See
India Kerala Hindu Nair		0.0730	41	See
Sudan Central Shaigiya Mixed	13.9	0.0721	36	See
India North Gujarat	14.3	0.0714	338	See
China Shandong Province Linqu County	13.7	0.0710	139	See
Burkina Faso Fulani		0.0710	49	See
Vietnam Hanoi		0.0700	50	See
United Kingdom North		0.0691	330	See
Mongolia Tsaatan		0.0690	144	See
Scotland Orkney	12.5	0.0630	99	See
Spain Majorca		0.0600	407	See
Mongolia Khalkha		0.0600	200	See
United Kingdom East		0.0583	163	See
Sudan East Rashaida	11.1	0.0571	27	See
Japan Hyogo	9.4	0.0470	32	See
Brazil Parana Japanese	9.0	0.0469	192	See
Japan Aichi	8.3	0.0430	50	See
Russia Sakhalin Island Nivkhi		0.0380	53	See
United Kingdom Orkney		0.0341	88	See
Japan pop 2		0.0320	916	See
Myanmar Kachin	6.3	0.0317	63	See
Russia Bashkortostan, Tatars	0.5	0.0026	192	See
China North Han		0.0000	105	See
India Kerala Paniya		0.0000	10	See

See also higher resolution data of this allele

Allele	Number of Populations
C*04:54	3
C*04:133	1
C*04:78	2
C*04:207	1
C*04:65	1
C*04:01:03	2
C*04:75	1
C*04:26	7
C*04:55	2
C*04:118	1
C*04:201	1
C*04:227	1
C*04:64	1
C*04:30	3
C*04:16	8
C*04:04	94
C*04:01:82	1
C*04:114	1
C*04:86	1
C*04:34	3
C*04:199	1
C*04:240	1
C*04:349N	1
C*04:209	1
C*04:245	1
C*04:289	5
C*04:35	3
C*04:01:16	1
C*04:96	1
C*04:360	1
C*04:01:42	1
C*04:186	1
C*04:50	2
C*04:17	3
C*04:46	4
C*04:95N	1
C*04:246	1
C*04:72	1
C*04:51	1
C*04:62	1
C*04:219	1
C*04:293	1
C*04:132	1
C*04:124	1
C*04:49	3
C*04:01	256
C*04:73	1
C*04:47	2
C*04:52	4
C*04:63	1
C*04:226	1
C*04:03	165
C*04:61	1
C*04:120	1
C*04:71	1
C*04:301	1
C*04:113	2
C*04:53	1
C*04:267	1
C*04:276	1
C*04:01:02	9
C*04:23	4
C*04:13	17
C*04:195	1
C*04:110	1
C*04:06	75
C*04:31	3
C*04:206	1
C*04:177	2
C*04:87	1
C*04:70	1
C*04:01:30	1
C*04:32	5
C*04:15:02	1
C*04:107	2
C*04:15:01	2
C*04:143	2
C*04:33	7
C*04:228	1
C*04:12	9
C*04:36	3
C*04:01:33	1
C*04:340	1
C*04:11	16
C*04:04:02	5
C*04:104	1
C*04:20	3
C*04:10	39
C*04:168	1
C*04:140	1
C*04:218	1
C*04:343	1
C*04:14	12
C*04:24	8
C*04:37	6
C*04:142	1
C*04:131	1
C*04:146	1
C*04:103:01	1
C*04:40	1
C*04:25	4
C*04:01:01	37
C*04:15	19
C*04:48	2
C*04:56	1
C*04:225N	1
C*04:01:01:05	3
C*04:223	1
C*04:66	1
C*04:217N	1
C*04:244	1
C*04:07	82
C*04:313	1
C*04:06:01	1
C*04:09N	13
C*04:98:01	1
C*04:28	2
C*04:45	2
C*04:103	1
C*04:04:01	7
C*04:03:01	11
C*04:01:01:02	3
C*04:44	1
C*04:198	1
C*04:08	25
C*04:166	1
C*04:01:04	1
C*04:82	6
C*04:139	1
C*04:39	2
C*04:169	1
C*04:05	27
C*04:83	1
C*04:01:15	1
C*04:01:09	1
C*04:92	1
C*04:67	1
C*04:77	2
C*04:344	1
C*04:90	1
C*04:01:08	1
C*04:38	1
C*04:122	1
C*04:01:52	1
C*04:01:43	1
C*04:261	1
C*04:178	1
C*04:42	3
C*04:41	1
C*04:200	1
C*04:01:01:01	33
C*04:18	4
C*04:339	1
C*04:01:25	1
C*04:108	1
C*04:43	2
C*04:102	1
C*04:93N	1
C*04:58	2
C*04:27	8
C*04:07:01	1
C*04:03:01:01	1
C*04:19	4
C*04:29	11

* 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.

©2024 Allele Frequencies Website.

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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