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.

B*40

Allele reported 337 time(s) and present in 329 population(s).

	Phenotype Frequency (%)	Allele Frequency (in_decimals)	Sample Size	IMGT/HLA¹ Database
India Kerala Paniya		0.4500	10	See
India Kerala Malapandaram		0.4500	10	See
Taiwan Aborigine		0.3860	111	See
India Kerala Adiya		0.3340	21	See
Malaysia Sabah Kadazan		0.3330	57	See
Russia Sakhalin Island Nivkhi		0.3120	53	See
India Kerala Kanikkar		0.2950	22	See
India Kerala Hindu Ezhava		0.2500	24	See
India Kerala Hindu Pulaya		0.2500	16	See
Taiwan Hakka pop 2		0.2500	714	See
Taiwan Minnan pop 2		0.2420	7137	See
Taiwan Minnan and Hakka		0.2410	190	See
Venezuela Zulia Maracaibo Mixed		0.2250	20	See
Mongolia Khalkha pop 2		0.2060	202	See
Japan pop 2		0.2010	916	See
India Kerala Hindu Namboothiri		0.2010	40	See
India Kerala Kuruma		0.2000	15	See
Japan Tohoku Region		0.1960	322	See
Taiwan Chinese immigrants from Middle China		0.1880	211	See
India sub-Himalayan West Bengal Kami	33.5	0.1867	158	See
Russia Transbaikal Territory Buryats	33.0	0.1830	150	See
Taiwan Chinese immigrants from South China		0.1830	172	See
Mongolia Oold		0.1830	104	See
Peru Lamas City Lama		0.1810	83	See
Trinidad South Asian		0.1800	87	See
India Kerala Syrian Christian		0.1770	31	See
India Kerala Kattunaikka		0.1760	17	See
Japan Hyogo Osaka and Nagano		0.1750	195	See
Brazil Parana Japanese	32.0	0.1745	192	See
China Guangdong Province	31.8	0.1741	403	See
Mongolia Tsaatan		0.1740	144	See
Japan Kyoto and Osaka		0.1700	165	See
Mexico San Vicente Tancuayalab Teenek/Huastecos		0.1698	53	See
Mexico Huasteca Region Teenek		0.1670	55	See
Pakistan Baloch		0.1620	66	See
China Shanghai		0.1590	26266	See
USA OPTN Asian		0.1590	261	See
China Wuhan	30.8	0.1570	121	See
Pakistan Brahui		0.1540	104	See
Japan pop 11	27.5	0.1485	62	See
Mongolia Khalkha		0.1450	200	See
Norway Sami		0.1430	200	See
South Korea pop 1		0.1420	324	See
Japan Aichi	28.3	0.1410	50	See
Myanmar Mon	26.6	0.1406	64	See
Philippines National Capital Region		0.1370	51	See
China Jiangsu Province		0.1360	20248	See
Myanmar Kachin	25.4	0.1349	63	See
China Harbin Korean		0.1340	201	See
Pakistan Mixed Sindhi		0.1340	101	See
Thailand pop 4		0.1340	16807	See
China Shandong Province	25.9	0.1340	7418	See
China Shaanxi Province Han		0.1330	10000	See
Argentina Salta Wichi pop 2	21.1	0.1320	19	See
Myanmar Bamar	23.9	0.1304	46	See
Taiwan Chinese immigrants from North China		0.1270	152	See
Mexico Sinaloa Capomos Mayo Yoremes		0.1250	60	See
Sri Lanka Colombo Sinhalese		0.1240	101	See
China Shandong Province Linqu County	23.2	0.1236	139	See
Argentina Chiriguano	24.5	0.1230	54	See
India North pop 3		0.1230	587	See
Norway ethnic Norwegians	23.2	0.1224	4510	See
Myanmar Shan	22.2	0.1204	54	See
Czech Republic Romani pop 2	21.7	0.1196	46	See
Spain North Cabuerniga		0.1180	95	See
Mexico Mayan Pop 3		0.1130	66	See
Norway pop 2		0.1130	576	See
Mexico Nahuas		0.1110	72	See
China Yunnan Province Han pop 2		0.1100	129	See
China Harbin Manchu		0.1070	172	See
Peru Arequipa Mestizo	15.5	0.1060	168	See
Macedonia MBMDR - Macedonian Muslims	19.7	0.1053	76	See
Mexico Tapachula, Chiapas Mestizo Population	19.4	0.1040	72	See
India North Gujarat	19.5	0.1036	338	See
India Kerala Malabar Muslim		0.1030	34	See
India Kerala Kurichiya		0.1000	10	See
Mexico Michoacan Tarasco	20.0	0.1000	130	See
Venezuela Colonia Tovar		0.0988	86	See
India Kerala Hindu Nair		0.0980	41	See
China Yunnan Province Naxi		0.0980	118	See
Australia West Caucasian	18.4	0.0970	891	See
Sweden Uppsala	18.3	0.0961	300	See
Malaysia pop 2		0.0960	62	See
Venezuela Valencia and Maracaibo Caracus Mixed		0.0930	96	See
India Bikaner Non-Raikas	17.5	0.0920	127	See
Brazil Parana Oriental	18.1	0.0910	33	See
Germany Essen	17.2	0.0860	174	See
Bolivia La Paz Aymaras		0.0860	87	See
Colombia Barranquilla		0.0850	188	See
Thailand Northeast		0.0840	66	See
Argentina Corrientes	16.1	0.0840	155	See
Colombia Wayu from Guajira Peninsula		0.0833	48	See
Mexico Mexico City Mestizo pop 3		0.0820	256	See
Russia South Ural Bashkir	15.8	0.0820	146	See
England Lancaster	15.6	0.0813	545	See
Bolivia Quechua		0.0797	69	See
Myanmar Kayin	15.9	0.0795	44	See
Russia Chuvash		0.0790	82	See
Thailand Northeast pop 2		0.0790	400	See
USA Caucasian Bethesda	14.7	0.0780	307	See
Colombia Jaidukama		0.0770	39	See
Sweden pop 4	14.8	0.0766	966	See
Brazil REDOME Amazonas		0.0766	24129	See
USA OPTN Hispanic		0.0750	1580	See
Mexico Mestizo pop 4		0.0743	269	See
India Bikaner Raikas	14.3	0.0740	143	See
Myanmar Kayah	14.5	0.0727	55	See
United Kingdom Central		0.0714	135	See
Brazil REDOME Amapa		0.0712	17864	See
Wales pop 2	13.6	0.0710	39979	See
Malaysia pop 3		0.0710	1445	See
USA Caucasian	13.3	0.0688	61655	See
Brazil REDOME Para		0.0684	72637	See
United Kingdom East		0.0683	163	See
Wales	13.7	0.0680	1798	See
Bangladesh Dhaka Bangalee		0.0670	141	See
England Sheffield	12.9	0.0667	4755	See
Austria Cord Bloods		0.0660	1368	See
Germany	12.7	0.0656	11407	See
Brazil REDOME Roraima		0.0652	4140	See
England Leeds	12.6	0.0651	5024	See
Russia Northwest pop 3	12.0	0.0650	100	See
Brazil Para State	12.6	0.0650	5000	See
United Arab Emirates pop 2	12.3	0.0640	373	See
Brazil Parana Mixed race	12.9	0.0640	186	See
Brazil Para Cord Blood Unit	11.9	0.0630	841	See
Spain Catalonia Girona		0.0630	88	See
Argentina Cuyo Region	12.4	0.0630	420	See
Guatemala Mayan		0.0630	132	See
France Reims		0.0630	102	See
Myanmar Rakhine	12.5	0.0625	48	See
England Newcastle	11.9	0.0613	2739	See
Pakistan Mixed Pathan		0.0610	100	See
Russia Northwest pop 2	11.8	0.0610	346	See
Romania pop 3	11.6	0.0604	1469	See
Russia Moscow Pop 2	11.9	0.0604	2000	See
Brazil REDOME Ceara		0.0602	101217	See
Brazil Piaui Mixed		0.0600	21943	See
France Rennes pop 3		0.0600	200	See
Vietnam Hanoi		0.0600	50	See
Venezuela Caracas Mestizo		0.0600	50	See
United Kingdom Orkney		0.0599	88	See
Brazil REDOME Piaui		0.0595	46140	See
Brazil REDOME Paraiba		0.0595	43868	See
Chile Santiago		0.0592	920	See
France Rennes pop 4	11.7	0.0591	1000	See
France Southeast	11.5	0.0590	130	See
Spain Minorca		0.0590	94	See
England Manchester	11.4	0.0587	1640	See
Albanian Kosovo		0.0583	120	See
Turkey pop 2		0.0580	228	See
Morocco		0.0580	96	See
Russia Samara Region		0.0570	2500	See
France Grenoble	11.1	0.0565	1000	See
Brazil REDOME Maranhao		0.0564	10180	See
Brazil Rio Grande do Norte Mestizo		0.0560	12973	See
Russia South Ural Tatar	11.1	0.0560	135	See
Bosnia and Herzegovina		0.0559	134	See
France Lyon	11.0	0.0559	4813	See
England North West Mixed pop 2	10.8	0.0554	379	See
France Grenoble, Nantes and Rennes		0.0550	6094	See
England Liverpool	10.7	0.0550	1343	See
Myanmar Chin	10.9	0.0545	55	See
Brazil REDOME Rio Grande do Norte		0.0544	46603	See
United Kingdom pop 2		0.0540	101	See
Portugal North		0.0540	46	See
Brazil REDOME Mato Grosso do Sul		0.0537	95667	See
France Bordeaux	10.3	0.0536	990	See
Brazil REDOME Acre		0.0530	859	See
Spain Arratia Valley Basque		0.0530	83	See
Cuba Mixed pop 2		0.0530	189	See
Russia Tatars		0.0521	355	See
Argentina La Plata	11.0	0.0520	100	See
Brazil REDOME Santa Catarina		0.0517	106673	See
Brazil Paraná Caucasian	10.1	0.0515	641	See
Brazil Curitiba-Parana Mixed		0.0514	264	See
Brazil Rio Grande do Sul Caucasoid		0.0510	4428	See
Brazil REDOME Rio Grande do Sul		0.0509	241329	See
Brazil Belem Mixed	10.0	0.0500	100	See
Romania pop 2		0.0500	6936	See
Poland pop 3	9.8	0.0499	2907	See
Brazil REDOME Rondonia		0.0494	54396	See
Brazil REDOME Parana		0.0492	341639	See
Argentina Buenos Aires pop 2	9.5	0.0490	1216	See
Argentina Buenos Aires	9.4	0.0490	466	See
Macedonia pop 4		0.0490	216	See
Slovakia pop 2		0.0486	4234	See
Brazil REDOME Alagoas		0.0483	25349	See
Brazil REDOME Mato Grosso		0.0482	34649	See
Brazil REDOME Pernambuco		0.0481	92332	See
Russia Northwest	9.4	0.0481	1011	See
Brazil Parana Caucasian	9.6	0.0480	2775	See
Brazil REDOME Tocantins		0.0480	20692	See
Malaysia Perak and Johor Banjar Bugis Jawa		0.0480	94	See
Russia South Ural Russian	9.7	0.0480	207	See
Ireland South pop 2		0.0477	17624	See
Macedonia MBMDR - Macedonian	9.0	0.0475	1283	See
Brazil REDOME Federal District		0.0475	29549	See
Brazil South Ribeirao Preto		0.0470	184	See
Brazil Rio Grande do Sul Mixed		0.0470	324	See
Brazil Sao Paulo Bauru Mixed		0.0470	3542	See
Slovenia pop 3	9.2	0.0470	130	See
Greece North		0.0470	500	See
Macedonia MBMDR - Albanian	9.4	0.0469	128	See
Russia Moscow		0.0460	2650	See
Macedonia		0.0455	286	See
Brazil South East Cord Blood		0.0454	11409	See
Albania pop 2	8.3	0.0451	432	See
Serbia Vojvodina	9.0	0.0450	400	See
Brazil Pernambuco Mixed		0.0450	101	See
Romania	8.9	0.0450	348	See
Tunisia pop 3		0.0450	104	See
Brazil REDOME Sao Paulo		0.0441	800809	See
Azores		0.0440	1050	See
Brazil REDOME Goias		0.0434	88574	See
Russia North Ossetian	8.7	0.0433	127	See
Brazil REDOME Sergipe		0.0432	7321	See
Brazil REDOME Rio de Janeiro		0.0410	139322	See
Albania		0.0410	160	See
Brazil REDOME Espirito Santo		0.0406	88485	See
France Marseille	8.0	0.0400	1000	See
Brazil Rio Grande do Sul Black		0.0400	248	See
Malaysia Perak Rawa		0.0400	23	See
Portugal Faro		0.0400	1242	See
Brazil Sao Paulo Mixed	0.8	0.0400	239	See
Brazil REDOME Minas Gerais		0.0398	211275	See
Portugal Evora		0.0390	737	See
Croatia pop 2		0.0390	100	See
Portugal Castelo Branco		0.0380	327	See
Armenia living in Lebanon		0.0380	368	See
Spain, Castilla y Leon, Northwest,	7.6	0.0380	1743	See
Brazil REDOME Bahia		0.0378	47399	See
Portugal Coimbra		0.0370	5057	See
Brazil Minas Gerais State Mixed	7.3	0.0370	1000	See
Portugal Vila Real		0.0370	1167	See
Portugal North pop 2		0.0369	1801	See
Iran pop 4		0.0363	855	See
Serbia pop 3	7.0	0.0362	1992	See
Greece pop 7		0.0360	11250	See
Iran Royan Cord Blood Bank	7.0	0.0360	15600	See
Portugal South pop 2		0.0360	1021	See
Brazil Parana Cafuzo	7.2	0.0360	319	See
United Kingdom North		0.0353	330	See
Macedonia pop 3		0.0350	172	See
Portugal Lisbon		0.0350	17420	See
Portugal Santarem		0.0350	3865	See
Portugal Setubal		0.0350	5268	See
Portugal Braga		0.0350	1971	See
Spain Sevilla	6.8	0.0342	278	See
Portugal Aveiro		0.0340	5933	See
Madeira pop 3		0.0340	538	See
Serbia		0.0340	386	See
Bosnia and Herzegovina pop 2	6.7	0.0333	120	See
Portugal Porto		0.0330	7937	See
Portugal Leiria		0.0330	1847	See
Spain Majorca and Minorca		0.0330	90	See
Spain Majorcans Jews		0.0330	103	See
Gaza Palestinians		0.0330	165	See
United Kingdom South West		0.0322	163	See
Madeira pop 2		0.0320	173	See
Italy North Pavia pop 2	6.0	0.0310	2416	See
Spain Majorca		0.0310	407	See
Senegal Dakar	6.3	0.0310	112	See
Algeria pop 2	6.0	0.0304	106	See
Iraq Arabs	6.0	0.0302	149	See
Trinidad African		0.0300	67	See
Tunisia	6.0	0.0300	100	See
Cuba Mixed		0.0300	78	See
Portugal Bragança		0.0300	301	See
Malaysia Sarawak Bidayuh		0.0300	50	See
Portugal Portalegre		0.0300	1254	See
Italy North Pavia pop 3		0.0300	685	See
Malaysia Sarawak Iban		0.0290	51	See
Italy Bergamo	5.0	0.0290	101	See
Iraq Erbil	5.7	0.0283	372	See
Portugal Viseu		0.0280	2915	See
Portugal Viana do Castelo		0.0280	706	See
Czech Republic Kurd	5.4	0.0270	74	See
Portugal Guarda		0.0270	797	See
Azores Terceira Island		0.0270	130	See
Italy		0.0270	159311	See
Portugal Center pop 2		0.0270	562	See
Greece pop3	5.3	0.0268	246	See
Brazil Parana Afro Brazilian	5.2	0.0260	77	See
Iraq Kurdistan Region	5.3	0.0260	209	See
Italy Lombardy	5.0	0.0250	674	See
Tunisia Ghannouch		0.0240	82	See
Spain North Cantabria		0.0240	83	See
Spain Murcia		0.0240	173	See
Spain Ibiza		0.0230	88	See
Iran pop 1		0.0230	64	See
Portugal Beja		0.0230	699	See
Jordan		0.0220	15141	See
Greece Crete		0.0220	135	See
Italy pop 6	3.8	0.0217	184	See
USA African American Bethesda	4.2	0.0210	187	See
Turkey pop 5		0.0210	142	See
USA OPTN Caucasian		0.0210	8525	See
England London Ashkenazi Jews		0.0210	500	See
Italy South Campania Region	3.6	0.0181	1089	See
Israel Jews pop 2	3.6	0.0180	23000	See
Armenia Syunik		0.0170	117	See
Armenia Yerevan		0.0160	445	See
Saudi Arabia pop 2		0.0160	383	See
Pakistan Karachi Parsi		0.0160	91	See
Spain Pas Valley		0.0160	88	See
Spain North	3.0	0.0151	156	See
Saudi Arabia pop 4	3.0	0.0151	499	See
Armenia living in Karabakh		0.0150	445	See
USA OPTN African American		0.0140	1510	See
Armenia Shirak		0.0130	76	See
Russia, South Ural, Chelyabinsk region, Nagaybaks	2.7	0.0130	112	See
South Africa Tswana	2.4	0.0120	41	See
Rwanda		0.0110	280	See
Italy Sardinia pop3		0.0100	100	See
Pakistan Burusho		0.0100	92	See
Malaysia Negeri Sembilan Minangkabau		0.0100	34	See
Italy East Sicily	2.0	0.0100	50	See
Morocco pop 2		0.0090	110	See
Croatia pop 3	1.7	0.0083	120	See
Armenia Ghegharkunik		0.0080	242	See
Armenia living in USA		0.0060	233	See
Armenia living in Iran		0.0060	85	See
Armenia Lori		0.0050	102	See
Mozambique		0.0050	202	See
Italy Rome	1.0	0.0050	100	See
France Corsica Island		0.0050	100	See
Russia Belgorod region	0.7	0.0033	153	See
Saudi Arabia	0.0	0.0000	18	See
China North Han		0.0000	105	See
Morocco Casablanca		0.0000	100	See
Italy North pop 3	0.0	0.0000	97	See
South Africa Natal Zulu	0.0	0.0000	100	See
Pakistan Kalash		0.0000	69	See
Tanzania Dodoma Kongwa		0.0000	212	See
Martinique		0.0000	100	See

See also higher resolution data of this allele

Allele	Number of Populations
B*40:125	2
B*40:06:01:01	9
B*40:136	1
B*40:71	80
B*40:90	5
B*40:33	16
B*40:157	1
B*40:06:01	23
B*40:01	389
B*40:01:05	3
B*40:04:01	4
B*40:05	179
B*40:50	20
B*40:214	1
B*40:377	1
B*40:137	1
B*40:02	373
B*40:65	6
B*40:54	3
B*40:72	3
B*40:02:01	64
B*40:14:03	2
B*40:18	55
B*40:200	1
B*40:134	2
B*40:43	14
B*40:51	84
B*40:87	3
B*40:108	1
B*40:94	6
B*40:56	2
B*40:55	3
B*40:82	2
B*40:241	1
B*40:64	9
B*40:27	112
B*40:95	3
B*40:96	1
B*40:05:01	1
B*40:346	1
B*40:118N	1
B*40:66	2
B*40:356	1
B*40:77	2
B*40:146	1
B*40:203	1
B*40:403	1
B*40:38	15
B*40:60	4
B*40:156	1
B*40:421Q	1
B*40:111	1
B*40:420	1
B*40:06:02	1
B*40:142N	1
B*40:49	10
B*40:78	7
B*40:92	2
B*40:119	1
B*40:08	166
B*40:162	1
B*40:01:01	27
B*40:105	1
B*40:86	2
B*40:158	1
B*40:20	135
B*40:126	5
B*40:44	11
B*40:01:04	2
B*40:07	141
B*40:187	1
B*40:14:01	5
B*40:24	13
B*40:31	20
B*40:347	1
B*40:110	1
B*40:91	2
B*40:32	20
B*40:121	3
B*40:21	17
B*40:59	3
B*40:22N	14
B*40:123	1
B*40:26	98
B*40:25	17
B*40:219	1
B*40:80	6
B*40:290	1
B*40:102	2
B*40:13	109
B*40:69	2
B*40:116	1
B*40:81	2
B*40:120	2
B*40:19	51
B*40:73	4
B*40:85	2
B*40:27:01	3
B*40:37	13
B*40:295	1
B*40:117	2
B*40:01:30	1
B*40:229	3
B*40:148	1
B*40:63	4
B*40:01:02	30
B*40:113	2
B*40:06:01:02	5
B*40:02:14	1
B*40:16	157
B*40:01:03	1
B*40:53	17
B*40:106	1
B*40:46	10
B*40:183	1
B*40:40	105
B*40:127	1
B*40:160	1
B*40:03:01	1
B*40:355	1
B*40:29	12
B*40:35	25
B*40:107	1
B*40:268	1
B*40:10	167
B*40:129	3
B*40:79	6
B*40:97	1
B*40:145	1
B*40:14:02	8
B*40:122	1
B*40:34	13
B*40:433	1
B*40:11:01	3
B*40:197	1
B*40:58	80
B*40:36	15
B*40:98	1
B*40:199	1
B*40:45	8
B*40:89	11
B*40:14	134
B*40:03	183
B*40:84	2
B*40:15	51
B*40:68	2
B*40:172	1
B*40:30	18
B*40:208	1
B*40:273	1
B*40:75	2
B*40:114	2
B*40:52	9
B*40:153	1
B*40:61	2
B*40:93	2
B*40:371	1
B*40:06:04	3
B*40:23	32
B*40:99	4
B*40:88	4
B*40:47	8
B*40:140	1
B*40:132	1
B*40:62	2
B*40:128	2
B*40:222	1
B*40:48	8
B*40:334	1
B*40:385	1
B*40:124	2
B*40:72:01	1
B*40:01:37	1
B*40:09	138
B*40:83	3
B*40:57	4
B*40:130	3
B*40:04	191
B*40:39	12
B*40:28	15
B*40:74	82
B*40:198	1
B*40:72:02	1
B*40:70	13
B*40:11	177
B*40:42	15
B*40:135	1
B*40:287	1
B*40:67	4
B*40:76	3
B*40:06	207
B*40:12	167

* 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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