The Allele Frequency Net Database [Search KIR Allele Frequencies]

KIR » Allele/Gene Frequency Search

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Line	Allele	Population	% of individuals that have the allele	Allele Frequency	Sample Size	Location
1	2DL1	Argentina Buenos Aires KIR	96.1		365	34_38_S_58_27_W
2	2DL1	Argentina Chaco Region Wichi KIR	84.0		82	24_0_S_61_0_W
3	2DL1	Argentina Chiriguano KIR	90.7		54	23_8_S_64_3_W
4	2DL1	Argentina KIR	97.0		102	34_36_S_58_22_W
5	2DL1	Argentina Salta Wichi KIR	84.2		19	23_8_S_64_2_W
6	2DL1	Australia Queensland Brisbane KIR	100.0		106	27_28_S_153_1_E
7	2DL1	Australia South Aborigine KIR	72.0		67	33_55_S_151_12_E
8	2DL1	Australia West Caucasian KIR	84.0		50	31_57_S_115_51_E
9	2DL1	Belgium KIR	87.8		148	50_0_N_5_0_E
10	2DL1	Belgium KIR pop 2	99.0		100	51_2_N_3_3_E
11	2DL1	Borneo Kalimantan KIR	83.0		48	2_13_S_113_55_E
12	2DL1	Brazil Amazon KIR	93.0		40	6_49_S_35_45_W
13	2DL1	Brazil Bahia Ilhéus KIR	98.0	0.860	102	14_47_S_39_2_W
14	2DL1	Brazil Belem Mixed KIR	96.3		347	1_27_S_48_30_W
15	2DL1	Brazil Belo Horizonte Caucasian KIR	96.7		90	19_55_S_43_55_W
16	2DL1	Brazil Curitiba Japanese KIR	98.0		51	25_25_S_49_16_W
17	2DL1	Brazil Curitiba KIR	97.4	0.840	164	25_25_S_49_16_W
18	2DL1	Brazil Guarani Kaiowá KIR	98.0		96	23_6_S_55_12_W
19	2DL1	Brazil Guarani MByá KIR	84.0		81	25_18_S_52_32_W
20	2DL1	Brazil Guarani Ñandeva KIR	98.0		50	23_48_S_54_30_W
21	2DL1	Brazil Kaingang KIR	87.0		100	25_18_S_52_32_W
22	2DL1	Brazil Mato Grosso do Sul Campo Grande KIR	98.0		206	20_27_S_54_36_W
23	2DL1	Brazil Parana Japanese KIR	99.5		214	22_26_S_48_54_W
24	2DL1	Brazil Paraná Maringa KIR	96.2		130	23_25_S_51_56_W
25	2DL1	Brazil Parana Mixed KIR	97.2		289	24_0_S_51_0_W
26	2DL1	Brazil Parana Mixed KIR pop 2	98.8		172	24_0_S_51_0_W
27	2DL1	Brazil Porto Alegre Caucasian KIR	97.6		250	30_1_S_51_13_W
28	2DL1	Brazil Porto Alegre Caucasian KIR pop 2	95.8		216	30_1_S_51_13_W
29	2DL1	Brazil Porto Alegre Caucasian KIR pop 3	98.2		278	30_1_S_51_13_W
30	2DL1	Brazil Rio de Janeiro Caucasian pop 2 KIR	96.0		98	22_54_S_43_11_W
31	2DL1	Brazil Rio de Janeiro Mixed KIR	97.0		166	22_53_S_43_17_W
32	2DL1	Brazil Rondonia Karitiana KIR	85.5		55	9_0_S_65_0_W
33	2DL1	Brazil Rondonia Porto Velho KIR	95.2		377	8_45_S_63_54_W
34	2DL1	Brazil Rondonia Surui KIR	97.8		46	9_0_S_62_0_W
35	2DL1	Brazil Sao Paulo KIR	97.0		289	20_58_S_49_7_W
36	2DL1	Brazil Southeast Caucasian KIR	100.0		55	23_0_S_48_0_W
37	2DL1	Brazil Western Amazon Ticuna KIR	93.8		65	3_15_S_68_35_W
38	2DL1	Bulgaria KIR	91.0		54	42_42_N_23_20_E
39	2DL1	Cambodia KIR	90.9		22	11_33_N_104_55_E
40	2DL1	Canada Iranian KIR	95.6		68	49_15_N_123_6_W
41	2DL1	Central African Republic Bagandu Biaka KIR	97.1		69	5_0_N_15_0_E
42	2DL1	Chile Talca KIR	100.0		90	34_52_S_71_40_W
43	2DL1	China Eastern Mainland Han KIR	99.0		106	29_0_N_120_0_E
44	2DL1	China Guangdong Han KIR	100.0		107	23_56_N_114_53_E
45	2DL1	China Hubei Province Tujia KIR	64.0		124	30_17_N_109_28_E
46	2DL1	China Hunan Han KIR	99.6		448	28_7_N_111_26_E
47	2DL1	China Inner Mongolia Han KIR	100.0		104	42_53_N_113_34_E
48	2DL1	China Inner Mongolia Mongol KIR	98.8		160	42_53_N_113_34_E
49	2DL1	China Inner Mongolia Province KIR pop 2	84.0	0.600	87	44_0_N_113_0_E
50	2DL1	China Jiangsu Province Han KIR	100.0		150	31_18_N_120_36_E
51	2DL1	China Jiangsu Province Han KIR pop2	100.0		60	33_0_N_120_0_E
52	2DL1	China Mongolia Province KIR	93.3		90	43_37_N_122_15_E
53	2DL1	China Nanjing KIR	96.6		238	32_3_N_118_46_E
54	2DL1	China Shaanxi Province Han KIR	94.2		104	35_36_N_108_24_E
55	2DL1	China Shenzhen Han KIR pop 2	99.2		503	22_33_N_114_3_E
56	2DL1	China Tibet Lhasa KIR	100.0		102	29_39_N_91_6_E
57	2DL1	China Xinjiang Region Urumqi Uygur KIR	91.7		120	43_49_N_87_36_E
58	2DL1	China Yunnan Han KIR	99.5		404	25_2_N_102_42_E
59	2DL1	China Yunnan Province Dali Bai KIR	100.0		100	25_36_N_100_16_E
60	2DL1	China Yunnan Province Drung KIR	100.0		152	25_3_N_101_52_E
61	2DL1	China Yunnan Province Fengyandong Han KIR	98.9		93	24_3_N_105_4_E
62	2DL1	China Yunnan Province Fugong Nu KIR	100.0		112	25_54_N_98_52_E
63	2DL1	China Yunnan Province Menghai Bulang KIR	98.0		109	21_58_N_100_28_E
64	2DL1	China Yunnan Province Sunan Yugu KIR	95.0		104	38_50_N_99_37_E
65	2DL1	China Yunnan Province Tiandeng Zhuang KIR	100.0		98	22_51_N_107_23_E
66	2DL1	China Zhejiang Han KIR	99.3		273	29_12_N_120_30_E
67	2DL1	China Zhejiang Province Han KIR	99.0		104	30_15_N_120_10_E
68	2DL1	Comoros Mixed KIR	100.0		54	11_41_S_43_16_E
69	2DL1	Congo Kinshasa Ituri Forest Mbuti KIR	94.4		38	3_0_N_26_0_E
70	2DL1	Cook Islands KIR	92.0		48	21_12_S_159_46_W
71	2DL1	Costa Rica Guanacaste KIR	96.0		117	9_56_N_84_5_W
72	2DL1	Croatia KIR	95.0		125	45_48_N_15_58_E
73	2DL1	Croatia KIR pop 2	96.0		111	45_48_N_15_58_E
74	2DL1	Croatia KIR pop 3	95.0		121	45_48_N_15_57_E
75	2DL1	Cuba Caucasian KIR	97.1		70	23_7_N_82_22_W
76	2DL1	Czech Republic KIR	95.0		125	50_5_N_14_25_E
77	2DL1	Denmark Copenhagen KIR	98.0		50	55_40_N_12_34_E
78	2DL1	East Timor KIR	96.0		50	8_34_S_125_34_E
79	2DL1	England KIR	91.0		136	51_0_N_0_0_W
80	2DL1	England KIR pop 3	97.0		334	51_45_N_1_15_W
81	2DL1	England KIR pop 4	99.0		99	51_30_N_0_7_W
82	2DL1	England KIR pop 5	96.2		584	50_49_N_1_5_W
83	2DL1	England Oxfordshire KIR	97.2		216	51_45_N_1_15_W
84	2DL1	England West Midlands Afro Caribbean KIR	91.0		54	52_29_N_1_54_W
85	2DL1	England West Midlands Indian Asian KIR	86.0		35	52_29_N_1_54_W
86	2DL1	England West Midlands KIR	93.0		126	52_55_N_1_54_W
87	2DL1	Equatorial Guinea Bioko Island Bubi KIR	95.8		95	1_55_N_10_6_E
88	2DL1	Finland Helsinki KIR	100.0		101	60_0_N_25_0_E
89	2DL1	Finland KIR	100.0		35	63_48_N_26_24_E
90	2DL1	France Reims KIR	97.0		102	49_15_N_4_2_E
91	2DL1	France Southeast KIR pop 2	100.0		38	43_17_N_5_22_E
92	2DL1	France West KIR	97.0		108	47_0_N_2_0_E
93	2DL1	Gabon KIR	100.0		54	1_38_S_13_35_E
94	2DL1	Georgia KIR	94.1		188	41_43_N_44_47_E
95	2DL1	Germany Hesse KIR	90.9		99	50_39_N_8_35_E
96	2DL1	Germany KIR	91.0		100	52_22_N_9_44_E
97	2DL1	Ghana KIR	92.7		41	5_33_N_0_15_W
98	2DL1	Greece KIR	89.0		233	37_58_N_23_43_E
99	2DL1	Guadeloupe Mixed KIR	100.0		90	15_59_N_61_43_W
100	2DL1	Hong Kong Chinese KIR	99.0		100	22_0_N_114_0_E
101	2DL1	India Madurai Piramalai Kallar Dravidian KIR	99.0		100	9_6_N_78_1_E
102	2DL1	India Maharashtra Pune Western KIR	98.1		104	18_31_N_73_51_E
103	2DL1	India Mumbai Maharashtrian KIR	97.8		139	18_58_N_72_49_E
104	2DL1	India Mumbai Parsi KIR	99.3		145	18_58_N_72_49_E
105	2DL1	India North Hindu KIR	87.5		72	25_0_N_74_0_E
106	2DL1	India North KIR	85.7		512	26_52_N_80_58_E
107	2DL1	India North pop 2 KIR	92.0		100	26_51_N_80_55_E
108	2DL1	India Northeast Assam Kharachi	97.2		108	21_8_N_72_55_E
109	2DL1	India Northeast Assam Adivasi	95.0		101	21_8_N_72_55_E
110	2DL1	India Northeast Assam Ahom	97.1		104	21_8_N_72_55_E
111	2DL1	India Northeast Assam KIR	90.4		177	26_29_N_91_40_E
112	2DL1	India Tamil Nadu Kanikar KIR	97.0		35	13_9_N_80_27_E
113	2DL1	India Tamil Nadu Mollukurumba KIR	95.0		41	13_9_N_80_27_E
114	2DL1	India Tamil Nadu Paravar KIR	97.0		77	13_9_N_80_27_E
115	2DL1	India West Bengal Rabha KIR	96.0		50	26_19_N_89_40_E
116	2DL1	India West Bengal Rajbanshi KIR	92.0		75	22_33_N_88_22_E
117	2DL1	India Western KIR	94.4		161	19_0_N_72_50_E
118	2DL1	Indonesia Java KIR	87.0		45	7_30_S_111_15_E
119	2DL1	Indonesia Moluccan Islands KIR	95.0		63	0_30_N_127_35_E
120	2DL1	Indonesia Sulawesi Minahasans KIR	95.0		60	4_10_S_120_0_E
121	2DL1	Indonesia West Sumatra Minangs KIR	93.0		45	0_36_S_99_51_E
122	2DL1	Iran East Azerbaijan Azerbaijani KIR	99.0		100	38_4_N_46_17_E
123	2DL1	Iran East Azerbaijan Azeri KIR	98.0		84	38_4_N_46_18_E
124	2DL1	Iran Fars Persian KIR	98.0		248	29_36_N_52_31_E
125	2DL1	Iran Hormozgan and Balochistan Jonobi KIR	97.0		100	27_11_N_56_16_E
126	2DL1	Iran Khuzestan Arab KIR	100.0		76	31_18_N_48_42_E
127	2DL1	Iran Khuzestan Bakhtiari KIR	93.8		96	31_18_N_48_42_E
128	2DL1	Iran KIR	96.5		200	35_41_N_51_25_E
129	2DL1	Iran Lur KIR	98.0		100	33_30_N_48_40_E
130	2DL1	Iran Northern KIR	94.0		100	35_41_N_51_25_E
131	2DL1	Iran Shiraz KIR	99.6		273	29_35_N_52_34_E
132	2DL1	Iran Tehran KIR	95.0		100	35_42_N_51_25_E
133	2DL1	Ireland KIR	98.9		94	53_20_N_6_15_W
134	2DL1	Ireland KIR pop 2	95.8		240	52_26_N_8_26_W
135	2DL1	Ireland Northern KIR	96.0		200	54_40_N_6_45_W
136	2DL1	Ireland Northern KIR pop2	97.9		154	54_40_N_6_45_W
137	2DL1	Israel Ethiopian Jews KIR	90.3		31	31_47_N_35_13_E
138	2DL1	Israel North Druze KIR	96.5		116	31_47_N_35_13_E
139	2DL1	Italy KIR	95.0		217	44_30_N_11_21_E
140	2DL1	Italy Lombardy KIR	100.0		50	45_0_N_9_0_E
141	2DL1	Italy Sardinia Cagliari KIR	95.0		181	39_13_N_9_6_E
142	2DL1	Italy West Sicily KIR	96.7		60	38_0_N_13_18_E
143	2DL1	Ivory Coast Abidjan KIR	80.0		25	5_20_N_4_1_W
144	2DL1	Japan KIR	100.0		50	35_41_N_139_46_E
145	2DL1	Japan KIR pop 2	100.0		41	35_41_N_139_46_E
146	2DL1	Japan KIR pop 3	100.0		132	35_41_N_139_46_E
147	2DL1	Japan KIR pop 4	100.0		49	35_42_N_139_42_E
148	2DL1	Japan Kyoto KIR	98.8		240	35_1_N_135_46_E
149	2DL1	Japan Tokyo KIR	99.6		239	35_41_N_139_46_E
150	2DL1	Jordan Palestine KIR	83.0		105	31_35_N_36_20_E
151	2DL1	Korea pop 2 KIR	100.0		159	37_33_N_126_57_E
152	2DL1	Latvia KIR	98.0		100	57_0_N_25_0_E
153	2DL1	Lebanon KIR	99.2		120	33_54_N_35_32_E
154	2DL1	Macedonia KIR	94.9		214	42_0_N_21_0_E
155	2DL1	Macedonia Romani KIR	96.1		103	41_59_N_21_25_E
156	2DL1	Malaysia Peninsular KIR	96.7		120	6_5_N_102_17_E
157	2DL1	Martinique Mixed KIR	100.0		60	14_40_N_61_0_W
158	2DL1	Mexico Huichol KIR	100.0		73	21_44_N_105_13_W
159	2DL1	Mexico Mestizo Guerrero KIR	97.0		120	17_33_N_99_29_W
160	2DL1	Mexico Mestizo Highlands KIR	97.3		257	19_26_N_99_8_W
161	2DL1	Mexico Mestizo Jalisco KIR	100.0		100	20_40_N_103_21_W
162	2DL1	Mexico Mestizo Jalisco pop 2 KIR	98.0		124	20_37_N_103_20_W
163	2DL1	Mexico Mestizo KIR	94.4		54	19_25_N_99_7_W
164	2DL1	Mexico Mestizo KIR pop 2	96.3		300	24_29_N_102_18_W
165	2DL1	Mexico Mexico City Mestizo KIR	100.0		86	19_25_N_99_7_W
166	2DL1	Mexico Purepecha KIR	100.0		53	19_46_N_101_11_W
167	2DL1	Mexico Sierra Madre Pima KIR	87.9		99	31_19_N_112_55_W
168	2DL1	Mexico Tarahumara KIR	100.0		65	27_30_N_107_45_W
169	2DL1	Mexico Torreon Mestizos KIR	98.8	0.988	166	25_32_N_103_25_W
170	2DL1	Mexico Veracruz Mestizo KIR	92.2		51	19_26_N_96_22_W
171	2DL1	Mexico West Mestizo KIR	96.8		124	29_5_N_110_57_W
172	2DL1	Mexico Yucatan Maya KIR	94.0		50	20_58_N_89_37_W
173	2DL1	Morocco Chaouya KIR	95.5		67	33_4_N_7_37_W
174	2DL1	Nigeria Benin Yoruba KIR	100.0		75	9_0_N_8_5_E
175	2DL1	Nigeria Enugu Ibo KIR	95.7		48	7_0_N_5_0_E
176	2DL1	Nigeria Zaria Hausa KIR	100.0		37	11_4_N_7_42_E
177	2DL1	Norway KIR	97.0		368	59_56_N_10_45_E
178	2DL1	Oman KIR	98.0		99	22_0_N_56_0_E
179	2DL1	Pakistan Karachi KIR	90.0		78	24_51_N_67_0_E
180	2DL1	Panama KIR	98.3		116	8_58_N_79_32_W
181	2DL1	Papua New Guinea Irian Jaya KIR	86.0		50	1_0_S_133_0_E
182	2DL1	Papua New Guinea Nasioi KIR	90.9		22	5_0_S_152_0_E
183	2DL1	Poland KIR	96.4		690	53_25_N_14_35_E
184	2DL1	Poland KIR pop2	98.3		60	51_7_N_17_2_E
185	2DL1	Portugal Azores Terceira Island KIR	92.9		127	38_39_N_27_13_W
186	2DL1	Portugal KIR	100.0		65	38_46_N_9_11_W
187	2DL1	Reunion Mixed KIR	96.0		101	21_6_S_55_31_E
188	2DL1	Romania KIR	93.5		123	44_25_N_26_6_E
189	2DL1	Russia Adygei KIR	100.0		54	45_0_N_39_0_E
190	2DL1	Russia Chechens KIR	97.9		48	45_0_N_46_0_E
191	2DL1	Russia Moscow KIR	97.6		84	55_39_N_37_29_E
192	2DL1	Russia Northwest pop 3 KIR	96.0		100	59_58_N_30_18_E
193	2DL1	Russia Siberia Yakut KIR	98.0		51	74_0_N_105_0_E
194	2DL1	Russia Vologda KIR	93.5		47	59_13_N_39_54_E
195	2DL1	Samoa KIR	98.0		50	13_50_S_171_45_W
196	2DL1	Saudi Arabia KIR	96.3		162	24_42_N_46_43_E
197	2DL1	Saudi Arabia KIR pop 2	98.0		148	24_43_N_46_48_E
198	2DL1	Saudi Arabia KIR pop 3	82.0		65	25_0_N_45_0_E
199	2DL1	Saudi Arabia Riyadh KIR	98.0		152	24_38_N_46_43_E
200	2DL1	Scotland Orkney KIR	96.7		90	59_0_N_3_0_W
201	2DL1	Senegal KIR	100.0		118	14_0_N_16_0_W
202	2DL1	Serbia Vojvodina KIR	97.8	0.850	134	45_15_N_19_51_E
203	2DL1	Singapore Chinese KIR	100.0		47	1_22_N_103_48_E
204	2DL1	Singapore Chinese KIR pop 2	96.2		210	1_22_N_103_48_E
205	2DL1	Singapore Indians KIR	81.3		80	1_22_N_103_48_E
206	2DL1	Singapore Malays KIR	90.0		80	1_22_N_103_48_E
207	2DL1	Slovenia KIR	98.5		130	46_15_N_15_1_E
208	2DL1	Solomon Islands KIR	97.5		40	9_28_S_159_49_E
209	2DL1	South Africa Black African KIR	99.4		167	26_8_S_28_3_E
210	2DL1	South Africa Carletonville Gauteng KIR	100.0		81	26_21_S_27_23_E
211	2DL1	South Africa Caucasian KIR	99.0		97	26_8_S_28_3_E
212	2DL1	South Africa Indian KIR	94.0		50	26_8_S_28_3_E
213	2DL1	South Africa Mixed Ancestry KIR	96.0		50	26_20_S_28_3_E
214	2DL1	South Africa San KIR	95.6		91	34_21_S_18_28_E
215	2DL1	South Africa Xhosa KIR	96.0		50	34_0_S_19_0_E
216	2DL1	South Korea KIR	99.4		154	37_0_N_126_0_E
217	2DL1	Spain Avilés KIR	95.0		339	43_9_N_5_55_W
218	2DL1	Spain Basque KIR	99.0		71	43_15_N_2_55_W
219	2DL1	Spain Cantabria KIR	98.3		230	43_28_N_3_48_W
220	2DL1	Spain Granada KIR	94.0		100	37_10_N_3_36_W
221	2DL1	Spain Madrid KIR	93.1		131	40_24_N_3_41_W
222	2DL1	Spain Murcia KIR	99.0		200	38_0_N_1_6_W
223	2DL1	Spain Sevilla KIR	95.3		278	37_22_N_5_58_W
224	2DL1	Sweden KIR	98.0		102	59_19_N_18_4_E
225	2DL1	Sweden Vasterbotten KIR	98.0		150	59_21_N_18_4_E
226	2DL1	Taiwan Ami KIR	92.3		40	24_0_N_121_0_E
227	2DL1	Taiwan Hakka KIR	100.0		40	23_46_N_121_0_E
228	2DL1	Taiwan Han KIR pop 2	100.0		59	23_46_N_121_0_E
229	2DL1	Taiwan Han KIR pop 3	97.9		48	23_46_N_121_0_E
230	2DL1	Taiwan Han KIR pop 4	100.0		97	23_46_N_121_0_E
231	2DL1	Taiwan KIR	65.6		96	23_46_N_121_0_E
232	2DL1	Taiwan Taroko Atayal KIR	100.0		42	23_46_N_121_0_E
233	2DL1	Thailand Bangkok KIR	97.0		119	13_45_N_100_29_E
234	2DL1	Thailand Bangkok KIR pop 2	97.0		100	13_45_N_100_29_E
235	2DL1	Thailand Bangkok KIR pop 3	96.0		150	13_45_N_100_31_E
236	2DL1	Thailand North East KIR	95.3		235	16_28_N_102_49_E
237	2DL1	Tokelau KIR	89.0		47	9_10_S_171_50_W
238	2DL1	Tonga KIR	100.0		49	21_8_S_175_12_W
239	2DL1	Trinidad Africans KIR	79.0		62	10_40_N_61_31_W
240	2DL1	Trinidad South Asians KIR	82.0		108	10_40_N_61_31_W
241	2DL1	Tunisia KIR	99.1		114	34_7_N_9_33_E
242	2DL1	Turkey KIR pop 2	98.1		154	41_1_N_28_59_E
243	2DL1	Turkey KIR pop 3	100.0		187	40_54_N_29_5_E
244	2DL1	Turkey South KIR	97.0		200	37_21_N_34_36_E
245	2DL1	Uganda Kampala KIR	99.0		492	0_18_N_32_34_E
246	2DL1	Uruguay Mixed KIR	95.1		41	34_53_S_56_10_W
247	2DL1	USA California African American KIR	98.3		58	34_3_N_118_15_W
248	2DL1	USA California Asian American KIR	96.7		150	34_3_N_118_15_W
249	2DL1	USA California Caucasians KIR	96.9		195	34_3_N_118_15_W
250	2DL1	USA California Hispanic KIR	98.4		128	34_3_N_118_15_W
251	2DL1	USA Caucasian KIR	95.3		255	38_53_N_77_2_W
252	2DL1	USA Eastern KIR	97.0		213	39_0_N_76_42_W
253	2DL1	USA Springfield Puerto Rican KIR	82.4		74	42_6_N_72_32_W
254	2DL1	Uzbekistan KIR	100.0		67	41_16_N_69_13_E
255	2DL1	Venezuela Bari KIR	88.8		80	10_0_N_72_57_W
256	2DL1	Venezuela Mestizo KIR	97.1		205	10_30_N_66_55_W
257	2DL1	Venezuela Warao KIR	95.5		89	8_30_N_67_10_W
258	2DL1	Venezuela Yucpa KIR	70.5		61	10_0_N_72_57_W
259	2DL1	Vietnam Hanoi KIR pop 2	98.6		140	21_1_N_105_45_E
260	2DL1	Vietnam Hanoi KIR	98.0		59	21_2_N_105_51_E
261	2DL1	Yemen Jews KIR	97.7		43	15_21_N_44_12_E
262	2DL1	Zimbabwe Harare KIR	99.0		97	19_8_S_29_53_E
263	2DL1*001	China Zhejiang Province Han KIR pop 2		0.186	162	38_41_N_96_30_E
264	2DL1*001	Ghana Ga-Adangbe KIR		0.008	131	5_45_N_0_12_E
265	2DL1*001	India North Hindu KIR	3.4		72	25_0_N_74_0_E
266	2DL1*001	Ireland Northern KIR pop2	6.4		154	54_40_N_6_45_W
267	2DL1*001	Mexico Huichol KIR		0.000	73	21_44_N_105_13_W
268	2DL1*001	Mexico Mexico City Mestizo KIR		0.009	86	19_25_N_99_7_W
269	2DL1*001	Mexico Purepecha KIR		0.017	53	19_46_N_101_11_W
270	2DL1*001	Mexico Tarahumara KIR		0.015	65	27_30_N_107_45_W
271	2DL1*001	USA African American KIR pop 2	2.0		100	38_53_N_77_2_W
272	2DL1*001	USA Caucasian NMDP KIR	6.6		75	47_30_N_120_30_W
273	2DL1*002	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
274	2DL1*002	Ghana Ga-Adangbe KIR		0.014	131	5_45_N_0_12_E
275	2DL1*002	India North Hindu KIR	21.9		72	25_0_N_74_0_E
276	2DL1*002	Ireland Northern KIR pop2	39.3		154	54_40_N_6_45_W
277	2DL1*002	Japan KIR pop 3		0.065	132	35_41_N_139_46_E
278	2DL1*002	Mexico Huichol KIR		0.025	73	21_44_N_105_13_W
279	2DL1*002	Mexico Mexico City Mestizo KIR		0.168	86	19_25_N_99_7_W
280	2DL1*002	Mexico Purepecha KIR		0.052	53	19_46_N_101_11_W
281	2DL1*002	Mexico Tarahumara KIR		0.000	65	27_30_N_107_45_W
282	2DL1*002	USA African American KIR pop 2	13.0		100	38_53_N_77_2_W
283	2DL1*002	USA Caucasian NMDP KIR	45.3		75	47_30_N_120_30_W
284	2DL1*00201	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
285	2DL1*0020101	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
286	2DL1*0020102	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
287	2DL1*0020103	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
288	2DL1*003	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
289	2DL1*003	India North Hindu KIR	80.8		72	25_0_N_74_0_E
290	2DL1*003	Mexico Huichol KIR		0.924	73	21_44_N_105_13_W
291	2DL1*003	Mexico Mexico City Mestizo KIR		0.729	86	19_25_N_99_7_W
292	2DL1*003	Mexico Purepecha KIR		0.879	53	19_46_N_101_11_W
293	2DL1*003	Mexico Tarahumara KIR		0.985	65	27_30_N_107_45_W
294	2DL1*00301	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
295	2DL1*00301	Ireland Northern KIR pop2	0.0		154	54_40_N_6_45_W
296	2DL1*00301	USA African American KIR pop 2	0.0		100	38_53_N_77_2_W
297	2DL1*00302	China Zhejiang Province Han KIR pop 2		0.785	162	38_41_N_96_30_E
298	2DL1*00302	Ghana Ga-Adangbe KIR		0.361	131	5_45_N_0_12_E
299	2DL1*00302	Ireland Northern KIR pop2	66.4		154	54_40_N_6_45_W
300	2DL1*00302	Japan KIR pop 3		0.897	132	35_41_N_139_46_E
301	2DL1*00302	USA African American KIR pop 2	68.0		100	38_53_N_77_2_W
302	2DL1*00302	USA Caucasian NMDP KIR	68.0		75	47_30_N_120_30_W
303	2DL1*0030201	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
304	2DL1*0030202	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
305	2DL1*0030203	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
306	2DL1*0030204	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
307	2DL1*0030205	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
308	2DL1*0030206	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
309	2DL1*0030207	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
310	2DL1*0030208	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
311	2DL1*0030209	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
312	2DL1*0030210	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
313	2DL1*00303	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
314	2DL1*00303	Ghana Ga-Adangbe KIR		0.057	131	5_45_N_0_12_E
315	2DL1*00303	Ireland Northern KIR pop2	0.0		154	54_40_N_6_45_W
316	2DL1*00303	USA African American KIR pop 2	8.0		100	38_53_N_77_2_W
317	2DL1*004	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
318	2DL1*004	India North Hindu KIR	8.4		72	25_0_N_74_0_E
319	2DL1*004	Japan KIR pop 3		0.009	132	35_41_N_139_46_E
320	2DL1*004	Mexico Huichol KIR		0.051	73	21_44_N_105_13_W
321	2DL1*004	Mexico Mexico City Mestizo KIR		0.093	86	19_25_N_99_7_W
322	2DL1*004	Mexico Purepecha KIR		0.052	53	19_46_N_101_11_W
323	2DL1*004	Mexico Tarahumara KIR		0.000	65	27_30_N_107_45_W
324	2DL1*00401	China Zhejiang Province Han KIR pop 2		0.029	162	38_41_N_96_30_E
325	2DL1*00401	Ghana Ga-Adangbe KIR		0.098	131	5_45_N_0_12_E
326	2DL1*00401	Ireland Northern KIR pop2	25.7		154	54_40_N_6_45_W
327	2DL1*00401	USA Caucasian NMDP KIR	22.7		75	47_30_N_120_30_W
328	2DL1*0040101	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
329	2DL1*0040101	USA African American KIR pop 2	14.0		100	38_53_N_77_2_W
330	2DL1*0040102	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
331	2DL1*0040102	USA African American KIR pop 2	9.0		100	38_53_N_77_2_W
332	2DL1*00402	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
333	2DL1*00402	Ireland Northern KIR pop2	2.9		154	54_40_N_6_45_W
334	2DL1*00402	USA African American KIR pop 2	0.0		100	38_53_N_77_2_W
335	2DL1*00403	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
336	2DL1*00403	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
337	2DL1*005	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
338	2DL1*005	India North Hindu KIR	43.8		72	25_0_N_74_0_E
339	2DL1*005	Ireland Northern KIR pop2	0.0		154	54_40_N_6_45_W
340	2DL1*005	Mexico Huichol KIR		0.000	73	21_44_N_105_13_W
341	2DL1*005	Mexico Mexico City Mestizo KIR		0.000	86	19_25_N_99_7_W
342	2DL1*005	Mexico Purepecha KIR		0.000	53	19_46_N_101_11_W
343	2DL1*005	Mexico Tarahumara KIR		0.000	65	27_30_N_107_45_W
344	2DL1*005	USA African American KIR pop 2	0.0		100	38_53_N_77_2_W
345	2DL1*006	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
346	2DL1*006	Ghana Ga-Adangbe KIR		0.057	131	5_45_N_0_12_E
347	2DL1*006	Ireland Northern KIR pop2	0.0		154	54_40_N_6_45_W
348	2DL1*006	USA African American KIR pop 2	11.0		100	38_53_N_77_2_W
349	2DL1*007	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
350	2DL1*007	Ghana Ga-Adangbe KIR		0.046	131	5_45_N_0_12_E
351	2DL1*007	Ireland Northern KIR pop2	0.7		154	54_40_N_6_45_W
352	2DL1*007	USA African American KIR pop 2	7.0		100	38_53_N_77_2_W
353	2DL1*008	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
354	2DL1*008	Ireland Northern KIR pop2	2.1		154	54_40_N_6_45_W
355	2DL1*008	USA African American KIR pop 2	0.0		100	38_53_N_77_2_W
356	2DL1*009	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
357	2DL1*009	Ireland Northern KIR pop2	0.0		154	54_40_N_6_45_W
358	2DL1*009	USA African American KIR pop 2	0.0		100	38_53_N_77_2_W
359	2DL1*010	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
360	2DL1*010	Ghana Ga-Adangbe KIR		0.049	131	5_45_N_0_12_E
361	2DL1*010	Ireland Northern KIR pop2	0.0		154	54_40_N_6_45_W
362	2DL1*010	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
363	2DL1*011	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
364	2DL1*01101	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
365	2DL1*01101	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
366	2DL1*01102	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
367	2DL1*01102	Ghana Ga-Adangbe KIR		0.041	131	5_45_N_0_12_E
368	2DL1*01102	USA African American KIR pop 2	2.0		100	38_53_N_77_2_W
369	2DL1*012	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
370	2DL1*012	USA African American KIR pop 2	5.0		100	38_53_N_77_2_W
371	2DL1*01201	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
372	2DL1*01201	Ghana Ga-Adangbe KIR		0.016	131	5_45_N_0_12_E
373	2DL1*01202	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
374	2DL1*01202	Ghana Ga-Adangbe KIR		0.033	131	5_45_N_0_12_E
375	2DL1*013N	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
376	2DL1*013N	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
377	2DL1*014	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
378	2DL1*014	USA African American KIR pop 2	3.0		100	38_53_N_77_2_W
379	2DL1*015	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
380	2DL1*015	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
381	2DL1*016	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
382	2DL1*016	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
383	2DL1*017	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
384	2DL1*017	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
385	2DL1*018	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
386	2DL1*018	USA African American KIR pop 2	1.0		100	38_53_N_77_2_W
387	2DL1*019	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
388	2DL1*019	USA African American KIR pop 2	2.0		100	38_53_N_77_2_W
389	2DL1*020	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
390	2DL1*020	Ghana Ga-Adangbe KIR		0.003	131	5_45_N_0_12_E
391	2DL1*021	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
392	2DL1*022	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
393	2DL1*023	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
394	2DL1*024	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E
395	2DL1*025	China Zhejiang Province Han KIR pop 2		0.000	162	38_41_N_96_30_E

©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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