The Allele Frequency Net Database [Search HLA Haplotype Frequencies]

HLA > Haplotype Frequency Search

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A	B	C	DRB1	DPA1	DPB1	DQA1	DQB1

Population: Country: Source of dataset :
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Sample Size: Sample Year: Loci Tested:

Displaying 101 to 200 (from 1,385) records

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Line	Haplotype		Frequency (%)	Sample Size
101	DRB113:02-DQA101:02*-DQB106:04	Japan pop 2	4.8000	916
102	DRB115:01-DQA101:02*-DQB106:02/06:11	Russia Siberia Ulchi	4.8000	73
103	DRB113:02-DQA101:02*-DQB106:04-DPB1*04:01	South Korea pop 2	4.7000	207
104	DRB115-DQA101:02*-DQB106:02	Italy pop 2	4.7000	53
105	DRB116-DQA101:02*-DQB105:02	Italy pop 2	4.7000	53
106	DRB113:02-DQA101:02*-DQB106:05/06:09	Russia Tuva Todja	4.6000	22
107	DRB115:01-DQA101:02*-DQB106:02	Mexico Nuevo Leon Mestizo	4.5000	40
108	DRB116-DQA101:02*-DQB105:02/05:04	Belarus Vitebsk Region	4.5000	70
109	*DQA101:02*-DQB106:09	Gambia	4.4000	146
110	*DQA101:02*-DQB106:09	Uganda Baganda	4.3000	47
111	DRB113-DQA101:02*-DQB106:04	Croatia Gorski Kotar Region	4.3000	63
112	DRB115:01-DQA101:02*-DQB106:02	China Urumqi Uyghur	4.3000	57
113	DRB115:01-DQA101:02*-DQB106:02/06:11	Russia Siberia Negidal	4.3000	35
114	DRB116-DQA101:02*-DQB105:02	Croatia Gorski Kotar Region	4.3000	63
115	*DQA101:02*-DQB106:09	China, Xinjiang Uyghur Autonomous Region Han	4.2900	70
116	*DQA101:02*-DQB106:01	India Bombay	4.2000	59
117	*DQA101:02*-DQB106:02	India Bombay	4.2000	59
118	DRB115:01-DQA101:02*-DQB106:02	China Urumqi Han	4.2000	59
119	*DQA101:02*-DQB105:02	Tunisia	4.1000	100
120	*DQA101:02*-DQB106:04	Tunisia	4.1000	100
121	*DQA101:02*-DQB106:04	Japan Fukuoka	4.1000	86
122	*DQA101:02*-DQB106:09	Russia Tuva pop 2	4.1000	169
123	DRB113:02-DQA101:02*-DQB106:05/06:09	Russia Siberia Kushun Buryat	4.0000	25
124	DRB115:01-DQA101:02*-DQB106:02	Italy Sardinia Cagliari	4.0000	87
125	*DQA101:02*-DQB105:02-DPA102:02-DPB105:01	Hong Kong Chinese HKBMDR. DQ and DP	3.9985	1,064
126	*DQA101:02*-DQB105:01	China, Xinjiang Uyghur Autonomous Region Kazakh	3.8500	52
127	*DQA101:02*-DQB106:03	Uganda Baganda	3.8000	47
128	*DQA101:02*-DQB106:09	China, Xinjiang Uyghur Autonomous Region Hui	3.7500	40
129	DRB113:02-DQA101:02*-DQB106:04-DPB1*04:01	South Korea pop 1	3.7000	324
130	DRB113:02-DQA101:02*-DQB106:05	South Korea pop 1	3.7000	324
131	DRB113:02-DQA101:02*:01-DQB106:09	South Korea pop 5	3.6000	467
132	DRB113:02-DQA101:02*-DQB106:04	Turkey pop 1	3.6000	250
133	DRB115:03-DQA101:02*-DQB106:03	Ethiopia Oromo	3.6000	83
134	DRB115:03-DQA101:02*-DQB106:03	Ethiopia Amhara	3.6000	98
135	*DQA101:02*-DQB106:01	China, Xinjiang Uyghur Autonomous Region Han	3.5700	70
136	DRB113:02-DQA101:02*-DQB106:04	Spain Las Alpujarras	3.5300	85
137	*DQA101:02*-DQB106:02	China, Xinjiang Uyghur Autonomous Region Uyghur	3.5200	71
138	*DQA101:02*-DQB106:09	Cameroon Saa	3.5000	172
139	DRB116-DQA101:02*-DQB105:02/05:04	Russia Smolensk	3.5000	156
140	DRB113:02-DQA101:02*-DQB106:04	USA European American	3.4000	1,899
141	DRB113:02-DQA101:02*-DQB106:09	Congo Kinshasa Bantu	3.4000	90
142	DRB115:01-DQA101:02*-DQB106:02-DPB1*05:01	South Korea pop 1	3.4000	324
143	DRB116:02-DQA101:02*-DQB105:02	China Urumqi Han	3.4000	59
144	*DQA101:02*-DQB106:04	Israel Arab	3.3000	109
145	DRB115:01-DQA101:02*-DQB106:02	Greece pop3	3.3000	246
146	DRB116-DQA101:02*-DQB105:02	Czech Republic pop 3	3.3000	180
147	DRB115:01-DQA101:02*-DQB106:01	India Northeast Rastogi	3.2000	196
148	A33:03-B44:03-C14:03-DRB113:02-*DQA101:02*-DQB106:04-DPA101:03-DPB104:01	Japan pop 17	3.1300	3,078
149	A02:01-B53:01-C04:01-DRB113:02-*DQA101:02*-DQB106:04	Brazil Puyanawa	3.0000	150
150	*DQA101:02*-DQB106:05:01	Israel Iranian Jews	3.0000	101
151	DRB113:02-DQA101:02*-DQB106:04	Russia Northwest Slavic	3.0000	200
152	DRB113:02-DQA101:02*-DQB106:04	Greece pop3	3.0000	246
153	DRB113:02-DQA101:02*-DQB106:04	USA San Francisco Caucasian	3.0000	220
154	DRB113:02-DQA101:02*-DQB106:09	Tunisia	3.0000	100
155	DRB115:01-DQA101:02*-DQB106:02	Ethiopia Oromo	3.0000	83
156	DRB115:01-DQA101:02*-DQB106:02	Mexico Guanajuato and Jalisco Mestizo	3.0000	101
157	DRB116:01-DQA101:02*-DQB105:02	Russia Northwest Slavic	3.0000	200
158	DRB113:02-DQA101:02*-DQB106:05/06:09	Russia Siberia Khanty Mansi	2.9000	68
159	DRB113-DQA101:02*-DQB106:02	Russia Vologda	2.9000	121
160	DRB115:01:01/15:01:02-DQA101:02*:01/01:02:02-DQB106:02/06:11:01	Russia Siberia Lower Yenisey Ket	2.9000	17
161	*DQA101:02*-DQB106:09	China, Xinjiang Uyghur Autonomous Region Kazakh	2.8800	52
162	*DQA101:02*-DQB105:02	China, Xinjiang Uyghur Autonomous Region Han	2.8600	70
163	DRB111:01-DQA101:02*-DQB106:02	Cameroon Yaounde	2.8000	92
164	DRB113:02-DQA101:02*-DQB106:04	Australia New South Wales Aborigine	2.8000	177
165	DRB113-DQA101:02*-DQB106:04	Czech Republic pop 3	2.8000	180
166	DRB116:01-DQA101:02*-DQB105:02	Algeria pop 2	2.8000	106
167	DRB116-DQA101:02*-DQB105:02/05:04	Russia Kostroma Region	2.8000	126
168	A02-B40-DRB115:01-DQA101:02*-DQB106:02	Russia Tuva	2.7000	190
169	DRB115:01-DQA101:02*-DQB106:02-DPB1*02:01	South Korea pop 2	2.7000	207
170	*DQA101:02*-DQB105:02	Papua New Guinea Highland pop2	2.6000	28
171	*DQA101:02*-DQB106:04	Israel Libyan Jews	2.6000	119
172	DRB103:01-DQA101:02*-DQB102:01	India Northeast Lachung	2.6000	58
173	DRB113:02-DQA101:02*-DQB106:04	Morocco Souss Region	2.6000	98
174	DRB113:02-DQA101:02*-DQB106:04-DPB1*04:01	South Korea pop 11	2.6000	149
175	DRB113:02-DQA101:02*-DQB106:05	Morocco Souss Region	2.6000	98
176	DRB115-DQA101:02*:01-DQB106:02	Iran	2.6000	58
177	DRB116:02-DQA101:02*-DQB105:02-DPB1*05:01	China Canton Han	2.6000	264
178	*DQA101:02*-DQB105:01	China, Xinjiang Uyghur Autonomous Region Hui	2.5000	40
179	DRB112:02-DQA101:02*-DQB106:02	Equatorial Guinea Bioko Island Bubi	2.5000	100
180	DRB113:02-DQA101:02*-DQB105:01	Equatorial Guinea Bioko Island Bubi	2.5000	100
181	DRB113:02-DQA101:02*-DQB106:04	England pop 6	2.5000	177
182	DRB113:02-DQA101:02*-DQB106:04	Tunisia	2.5000	100
183	DRB113-DQA101:02*-DQB106:02	Ukraine Lvov	2.5000	102
184	DRB116:02-DQA101:02*-DQB105:02	Equatorial Guinea Bioko Island Bubi	2.5000	100
185	*DQA101:02*-DQB106:04	France Ceph	2.4000	124
186	DRB103:01-DQA101:02*-DQB102:01	India Northeast Mech	2.4000	63
187	DRB115:01-DQA101:02*-DQB106:01	India Uttar Pradesh	2.4000	202
188	DRB115:01-DQA101:02*-DQB106:02	China Urumqi Kazak	2.4000	42
189	DRB115:01-DQA101:02*-DQB106:02-DPB1*02:01	South Korea pop 1	2.4000	324
190	A24:02-B35:01-C03:03-DRB112:02-*DQA101:02*-DQB105:02	Brazil Puyanawa	2.3333	150
191	*DQA101:02*-DQB106:02	Israel Arab	2.3000	109
192	DRB113:02-DQA101:02*-DQB106:05/06:09	Russia Siberia Irkutsk Tofalar	2.3000	43
193	DRB113:02-DQA101:02*-DQB106:05/06:09	Russia Tuva pop3	2.3000	44
194	DRB115:01-DQA101:02*-DQB106:02	Italy Sardinia Lanusei	2.3000	87
195	DRB115:01-DQA101:02*-DQB106:02-DPB1*05:01	South Korea pop 11	2.3000	149
196	DRB113:02-DQA101:02*-DQB106:05-DPB1*02:01	South Korea pop 1	2.2000	324
197	DRB113-DQA101:02*-DQB106:02	Ukraine Khmelnytskyi	2.2000	138
198	DRB115:01-DQA101:02*-DQB105:02	Greece pop3	2.2000	246
199	*DQA101:02*-DQB105:02	China, Xinjiang Uyghur Autonomous Region Uyghur	2.1100	71
200	A29:02-B44:03:01-C16:01-DRB115:01:01-*DQA101:02*-DQB106:02	Morocco Atlantic Coast Chaouya	2.1000	98

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 1,385) records

Pages:

1 2 3 4 5 6 7 8 9 10 of 14

©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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