The Allele Frequency Net Database [Search HLA Haplotype Frequencies]

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A	B	C	DRB1	DPA1	DPB1	DQA1	DQB1

Population: Country: Source of dataset :
Region: Ethnic Origin: Type of study : Sort by:
Sample Size: Sample Year: Loci Tested:

Displaying 101 to 200 (from 2,566) records

Pages:

1 2 3 4 5 6 7 8 9 10 of 26

Line	Haplotype		Frequency (%)	Sample Size
101	DRB104:03-DQA103*-DQB103:02	Russia Siberia Khabarovsk Evenki	6.0000	25
102	DRB104:08-DQA103*-DQB103:02	Russia Siberia Khabarovsk Evenki	6.0000	25
103	DRB104:07-DQA103*-DQB103:02	Argentina Gran Chaco Eastern Toba	5.9000	135
104	DRB104:11-DQA103*-DQB103:02	Argentina Gran Chaco Eastern Toba	5.9000	135
105	A02-B51-DRB104:04-DQA103*-DQB103:02	Colombia Jaidukama	5.8000	39
106	*DQA103*-DQB103:02	Gambia	5.8000	146
107	*DQA103*-DQB103:02	China, Xinjiang Uyghur Autonomous Region Kazakh	5.7700	52
108	*DQA103*-DQB103:02	China, Xinjiang Uyghur Autonomous Region Han	5.7100	70
109	DRB104:01-DQA103*-DQB103:01	Russia Siberia Polygus Evenk	5.7000	35
110	DRB104:03-DQA103*-DQB103:02	Russia Siberia Negidal	5.7000	35
111	DRB104:04-DQA103*-DQB103:02	Russia Siberia Negidal	5.7000	35
112	DRB109:01:02-DQA103*-DQB103:01	Russia Siberia Polygus Evenk	5.7000	35
113	DRB109:01-DQA103*:03-DQB102	Congo Kinshasa Bantu	5.6000	90
114	*DQA103*-DQB103:02	Israel Ethiopian Jews	5.5000	122
115	DRB104:03-DQA103*:01-DQB103:03	Iran Kurd	5.5000	100
116	DRB104-DQA103*:01-DQB103:02	Belarus Vitebsk Region	5.5000	70
117	DRB104:03-DQA103*-DQB103:01	Russia Siberia North East Kamchatka Koryak	5.4000	92
118	DRB104:04-DQA103*:01-DQB103:02	Mexico Guanajuato and Jalisco Mestizo	5.4000	101
119	DRB104:05-DQA103*:03-DQB104:01-DPB1*05:01	South Korea pop 1	5.4000	324
120	DRB104:06-DQA103*:01-DQB103:02	South Korea pop 1	5.4000	324
121	DRB104:07-DQA103*-DQB103:02	Argentina Gran Chaco Western Toba Pilaga	5.3000	19
122	DRB104:01-DQA103*:01-DQB103:01	Spain Las Alpujarras	5.2900	85
123	DRB104:01-DQA103*:02-DQB103:01	USA European American	5.2900	1,899
124	DRB104:04-DQA103*-DQB103:02	Argentina Gran Chaco Eastern Toba	5.2000	135
125	DRB104:03/04:04/04:06/04:07/04:08-DQA103*:01/03:02-DQB103:02	England pop 6	5.1000	177
126	DRB104:05-DQA103*:01-DQB104:01	China Urumqi Han	5.1000	59
127	DRB109:01:02-DQA103*-DQB103:03	Russia Siberia Khanty Mansi	5.1000	68
128	DRB109:01-DQA103*:01-DQB103:01	India Northeast Lachung	5.1000	58
129	*DQA103*-DQB103:03:02	Russia Tuva pop 2	5.0000	169
130	DRB104:02-DQA103*:01-DQB103:03	Iran Kurd	5.0000	100
131	*DQA103*-DQB103:02	China, Xinjiang Uyghur Autonomous Region Uyghur	4.9300	71
132	DRB104:03-DQA103*-DQB103:02	Russia Siberia North East Kamchatka Koryak	4.9000	92
133	DRB104:05-DQA103*:01-DQB103:02	Italy Sardinia Carbonia	4.9000	91
134	B39-C07-DRB104-DQA103*-DQB103	Mexico Tapachula, Chiapas Mestizo Population	4.8611	72
135	*DQA103*-DQB103:03	China, Xinjiang Uyghur Autonomous Region Kazakh	4.8100	52
136	DRB104:01-DQA103*-DQB103:01	Russia Siberia Gvaysugi Udege	4.8000	25
137	DRB109:01:02-DQA103*:01-DQB103:03	China Urumqi Kazak	4.8000	42
138	DRB114:02-DQA103*-DQB103:02	Russia Siberia Gvaysugi Udege	4.8000	25
139	A02:04-B39:05-C07:02-DRB104:11-*DQA103*:01:01-DQB103:02-DPA101-DPB114:01	Venezuela Sierra de Perija Yucpa	4.7000	73
140	DRB104:01-DQA103*-DQB103:01/03:09	Russia Siberia Irkutsk Tofalar	4.7000	43
141	DRB104:05-DQA103*:01-DQB104:01	Mongolia Tarialan Khoton	4.7000	85
142	DRB104-DQA103*:01-DQB103:02	Italy pop 2	4.7000	53
143	DRB104:02-DQA103*:01-DQB103:02	Italy Sardinia Lanusei	4.6000	87
144	DRB104:03-DQA103*:01-DQB103:03	Iran Yazd Zoroastrian	4.6000	65
145	DRB104:05-DQA103*:01-DQB103:02	Italy Sardinia Cagliari	4.6000	87
146	A02:06-B35:01-C07:02-DRB104:11-*DQA103*:01-DQB103:02-DPA101:03-DPB104:02	Mexico Chiapas Lacandon Mayans	4.5872	218
147	DRB104:01-DQA103*-DQB103:01/03:09	Russia Tuva pop3	4.5000	44
148	DRB104:03-DQA103*-DQB103:02	Russia Tuva pop3	4.5000	44
149	DRB104:07-DQA103*:01-DQB103:02	Mexico Nuevo Leon Mestizo	4.5000	40
150	DRB104-DQA103*:01-DQB103:02	Russia Mari	4.5000	202
151	DRB109:01:02-DQA103*-DQB103:03	Russia Tuva Todja	4.5000	22
152	*DQA103*-DQB103:02	Russia Tuva pop 2	4.4000	169
153	DRB104:06-DQA103*:01-DQB103:02-DPB1*02:01	South Korea pop 11	4.4000	149
154	DRB109:01:02-DQA103*-DQB103:03:02	Russia Siberia Chukotka Peninsula Eskimo	4.4000	80
155	DRB112:01/12:06-DQA103*-DQB103:01/03:09	Russia Siberia Khanty Mansi	4.4000	68
156	DRB109:01:02-DQA103*-DQB103:03:02	Russia Siberia Polygus Evenk	4.3000	35
157	DRB112:01-DQA103*-DQB103:01	Russia Siberia Polygus Evenk	4.3000	35
158	*DQA103*-DQB103:01	China, Xinjiang Uyghur Autonomous Region Han	4.2900	70
159	DRB104:01-DQA103*:01-DQB103:02	USA European American	4.2200	1,899
160	DRB104:01-DQA103*:01-DQB103:02	Slovenia pop 2	4.2000	140
161	DRB104:02-DQA103*-DQB103:02	Algeria pop 2	4.2000	106
162	DRB104:06-DQA103*:01-DQB103:02	China Urumqi Han	4.2000	59
163	DRB109:01-DQA103*:02-DQB103:03-DPB1*05:01	South Korea pop 1	4.2000	324
164	A02-B35-C04-DRB104-*DQA103*-DQB103	Mexico Tapachula, Chiapas Mestizo Population	4.1667	72
165	B40-C03-DRB104-DQA103*-DQB103	Mexico Tapachula, Chiapas Mestizo Population	4.1667	72
166	A24:02-B35:12-C04:01-DRB104:11-*DQA103*:01-DQB103:02-DPA101:03-DPB104:02	Mexico Chiapas Lacandon Mayans	4.1284	218
167	A68:01-B39:05-C07:02-DRB104:11-*DQA103*:01-DQB103:02-DPA101:03-DPB104:02	Mexico Chiapas Lacandon Mayans	4.1284	218
168	A68:01-B40:08-C03:04-DRB104:07-*DQA103*:01-DQB103:02-DPA101:03-DPB104:02	Mexico Chiapas Lacandon Mayans	4.1284	218
169	A02-B39-DRB104:11-DQA103*-DQB103:02	Mexico Mazatecan	4.1000	89
170	*DQA103*-DQB103:01	Belgium pop 2	4.1000	715
171	DRB104:01-DQA103*-DQB103:01/03:09	Russia Siberia Ulchi	4.1000	73
172	DRB104:04-DQA103*:01-DQB103:02	Mexico Highlands Mestizos	4.1000	160
173	DRB108:02-DQA103*-DQB103:02	Russia Siberia Ulchi	4.1000	73
174	DRB104:01-DQA103*:01/03:02-DQB103:01	England pop 6	4.0000	177
175	DRB104:01-DQA103*:01-DQB103:02	Russia Northwest Slavic	4.0000	200
176	DRB104:04-DQA103*-DQB103:02	Russia Siberia Kushun Buryat	4.0000	25
177	DRB104:05-DQA103*:03-DQB104:01-DPB1*05:01	South Korea pop 11	4.0000	149
178	DRB104:06-DQA103*:01:01-DQB103:02	South Korea pop 5	4.0000	467
179	DRB104:10-DQA103*:01-DQB104:02	Canada British Columbia Athabaskan	4.0000	62
180	DRB111:01-DQA103*:01-DQB105:01	India Northeast Rajbanshi	4.0000	98
181	DRB104:01-DQA103*:01-DQB103:02	USA San Francisco Caucasian	3.9000	220
182	DRB108-DQA103*:01-DQB103:01	India Northeast Mech	3.9000	63
183	DRB109:01-DQA103*:02-DQB103:03-DPB1*02:01	South Korea pop 11	3.9000	149
184	DRB104:04-DQA103*:01-DQB103:02	USA European American	3.8700	1,899
185	*DQA103*-DQB103:01	China, Xinjiang Uyghur Autonomous Region Kazakh	3.8500	52
186	A02-B40-DRB104:04-DQA103*-DQB103:02	Colombia Jaidukama	3.8000	39
187	A24-B39-DRB104:07-DQA103*-DQB103:02	Colombia Jaidukama	3.8000	39
188	A24-B40-DRB104:07-DQA103*-DQB103:02	Colombia Jaidukama	3.8000	39
189	*DQA103*-DQB104:02	Papua New Guinea Highland pop2	3.8000	28
190	DRB104:03-DQA103*:01-DQB103:02	Italy Sardinia Sorgono	3.8000	93
191	DRB104:03-DQA103*:01-DQB103:04	Italy Sardinia Sorgono	3.8000	93
192	DRB104:05-DQA103*:01-DQB103:02	Italy Sardinia Oristano	3.8000	91
193	DRB104:05-DQA103*:01-DQB103:02	Morocco Souss Region	3.8000	98
194	DRB104:07-DQA103*:01-DQB103:01	Iran Yazd Zoroastrian	3.8000	65
195	DRB114:02-DQA103*-DQB103:01	Russia Siberia North East Kamchatka Koryak	3.8000	92
196	A68:03-B35:12-C07:02-DRB104:07-*DQA103*:01-DQB103:02	Mexico Tixcacaltuyub Maya	3.7313	67
197	DRB104-DQA103*:01-DQB103:03	Mexico Guadalajara Mestizo	3.7000	54
198	DRB109:01:02-DQA103*:02-DQB103:03:02-DPB1*05:01	South Korea pop 2	3.7000	207
199	*DQA103*:03-DQB104:01-DPA102:02-DPB105:01	Hong Kong Chinese HKBMDR. DQ and DP	3.6809	1,064
200	DRB108:02-DQA103*:01-DQB103:02	China Urumqi Kazak	3.6000	42

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).

Displaying 101 to 200 (from 2,566) records

Pages:

1 2 3 4 5 6 7 8 9 10 of 26

©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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