The Allele Frequency Net Database [Search KIR Allele Frequencies]

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Line	Allele	Population	% of individuals that have the allele	Allele Frequency	Sample Size	Location
1	2DL4	Argentina Buenos Aires KIR	100.0		365	34_38_S_58_27_W
2	2DL4	Argentina Chaco Region Wichi KIR	100.0		82	24_0_S_61_0_W
3	2DL4	Argentina Chiriguano KIR	100.0		54	23_8_S_64_3_W
4	2DL4	Argentina KIR	100.0		102	34_36_S_58_22_W
5	2DL4	Argentina Salta Wichi KIR	100.0		19	23_8_S_64_2_W
6	2DL4	Australia Queensland Brisbane KIR	100.0		106	27_28_S_153_1_E
7	2DL4	Australia West Caucasian KIR	100.0		50	31_57_S_115_51_E
8	2DL4	Belgium KIR pop 2	100.0		100	51_2_N_3_3_E
9	2DL4	Borneo Kalimantan KIR	100.0		48	2_13_S_113_55_E
10	2DL4	Brazil Amazon KIR	100.0		40	6_49_S_35_45_W
11	2DL4	Brazil Bahia Ilhéus KIR	100.0	1.000	102	14_47_S_39_2_W
12	2DL4	Brazil Belo Horizonte Caucasian KIR	100.0		90	19_55_S_43_55_W
13	2DL4	Brazil Curitiba Japanese KIR	100.0		51	25_25_S_49_16_W
14	2DL4	Brazil Curitiba KIR	100.0	1.000	164	25_25_S_49_16_W
15	2DL4	Brazil Guarani Kaiowá KIR	100.0		96	23_6_S_55_12_W
16	2DL4	Brazil Guarani MByá KIR	100.0		81	25_18_S_52_32_W
17	2DL4	Brazil Guarani Ñandeva KIR	100.0		50	23_48_S_54_30_W
18	2DL4	Brazil Kaingang KIR	100.0		100	25_18_S_52_32_W
19	2DL4	Brazil Mato Grosso do Sul Campo Grande KIR	100.0		206	20_27_S_54_36_W
20	2DL4	Brazil Parana Japanese KIR	100.0		214	22_26_S_48_54_W
21	2DL4	Brazil Paraná Maringa KIR	100.0		130	23_25_S_51_56_W
22	2DL4	Brazil Parana Mixed KIR	100.0		289	24_0_S_51_0_W
23	2DL4	Brazil Parana Mixed KIR pop 2	100.0		172	24_0_S_51_0_W
24	2DL4	Brazil Porto Alegre Caucasian KIR	100.0		250	30_1_S_51_13_W
25	2DL4	Brazil Porto Alegre Caucasian KIR pop 2	100.0		216	30_1_S_51_13_W
26	2DL4	Brazil Porto Alegre Caucasian KIR pop 3	100.0		278	30_1_S_51_13_W
27	2DL4	Brazil Rio de Janeiro Caucasian pop 2 KIR	100.0		98	22_54_S_43_11_W
28	2DL4	Brazil Rondonia Porto Velho KIR	100.0		377	8_45_S_63_54_W
29	2DL4	Brazil Sao Paulo KIR	100.0		289	20_58_S_49_7_W
30	2DL4	Brazil Southeast Caucasian KIR	100.0		55	23_0_S_48_0_W
31	2DL4	Canada Iranian KIR	100.0		68	49_15_N_123_6_W
32	2DL4	Chile Talca KIR	100.0		90	34_52_S_71_40_W
33	2DL4	China Eastern Mainland Han KIR	100.0		106	29_0_N_120_0_E
34	2DL4	China Guangdong Han KIR	100.0		107	23_56_N_114_53_E
35	2DL4	China Hubei Province Tujia KIR	100.0		124	30_17_N_109_28_E
36	2DL4	China Hunan Han KIR	100.0		448	28_7_N_111_26_E
37	2DL4	China Inner Mongolia Han KIR	100.0		104	42_53_N_113_34_E
38	2DL4	China Inner Mongolia Mongol KIR	100.0		160	42_53_N_113_34_E
39	2DL4	China Inner Mongolia Province KIR pop 2	100.0	1.000	87	44_0_N_113_0_E
40	2DL4	China Jiangsu Province Han KIR	100.0		150	31_18_N_120_36_E
41	2DL4	China Nanjing KIR	100.0		238	32_3_N_118_46_E
42	2DL4	China Shaanxi Province Han KIR	100.0		104	35_36_N_108_24_E
43	2DL4	China Shenzhen Han KIR pop 2	100.0		503	22_33_N_114_3_E
44	2DL4	China Tibet Lhasa KIR	100.0		102	29_39_N_91_6_E
45	2DL4	China Xinjiang Region Urumqi Uygur KIR	100.0		120	43_49_N_87_36_E
46	2DL4	China Yunnan Han KIR	100.0		404	25_2_N_102_42_E
47	2DL4	China Yunnan Province Dali Bai KIR	100.0		100	25_36_N_100_16_E
48	2DL4	China Yunnan Province Drung KIR	100.0		152	25_3_N_101_52_E
49	2DL4	China Yunnan Province Fengyandong Han KIR	100.0		93	24_3_N_105_4_E
50	2DL4	China Yunnan Province Fugong Nu KIR	100.0		112	25_54_N_98_52_E
51	2DL4	China Yunnan Province Menghai Bulang KIR	100.0		109	21_58_N_100_28_E
52	2DL4	China Yunnan Province Tiandeng Zhuang KIR	100.0		98	22_51_N_107_23_E
53	2DL4	China Zhejiang Han KIR	100.0		273	29_12_N_120_30_E
54	2DL4	China Zhejiang Province Han KIR	100.0		104	30_15_N_120_10_E
55	2DL4	Comoros Mixed KIR	100.0		54	11_41_S_43_16_E
56	2DL4	Cook Islands KIR	100.0		48	21_12_S_159_46_W
57	2DL4	Costa Rica Guanacaste KIR	100.0		117	9_56_N_84_5_W
58	2DL4	Croatia KIR	100.0		125	45_48_N_15_58_E
59	2DL4	Croatia KIR pop 2	100.0		111	45_48_N_15_58_E
60	2DL4	Croatia KIR pop 3	100.0		121	45_48_N_15_57_E
61	2DL4	Cuba Caucasian KIR	100.0		70	23_7_N_82_22_W
62	2DL4	Cuban Mixed race KIR	100.0		42	23_8_N_82_23_W
63	2DL4	Czech Republic KIR	100.0		125	50_5_N_14_25_E
64	2DL4	East Timor KIR	100.0		50	8_34_S_125_34_E
65	2DL4	England KIR	100.0		136	51_0_N_0_0_W
66	2DL4	England KIR pop 3	100.0		334	51_45_N_1_15_W
67	2DL4	England KIR pop 4	100.0		99	51_30_N_0_7_W
68	2DL4	England KIR pop 5	100.0		584	50_49_N_1_5_W
69	2DL4	England Oxfordshire KIR	100.0		216	51_45_N_1_15_W
70	2DL4	Finland Helsinki KIR	100.0		101	60_0_N_25_0_E
71	2DL4	France Reims KIR	100.0		102	49_15_N_4_2_E
72	2DL4	France Southeast KIR	100.0		130	46_0_N_5_0_E
73	2DL4	France Southeast KIR pop 2	100.0		38	43_17_N_5_22_E
74	2DL4	France West KIR	100.0		108	47_0_N_2_0_E
75	2DL4	Gabon KIR	100.0		54	1_38_S_13_35_E
76	2DL4	Germany Hesse KIR	100.0		99	50_39_N_8_35_E
77	2DL4	Ghana KIR	100.0		41	5_33_N_0_15_W
78	2DL4	Greece KIR	100.0		233	37_58_N_23_43_E
79	2DL4	Guadeloupe Mixed KIR	100.0		90	15_59_N_61_43_W
80	2DL4	Hong Kong Chinese KIR	100.0		100	22_0_N_114_0_E
81	2DL4	India Maharashtra Pune Western KIR	100.0		104	18_31_N_73_51_E
82	2DL4	India Mumbai Maharashtrian KIR	100.0		139	18_58_N_72_49_E
83	2DL4	India Mumbai Parsi KIR	100.0		145	18_58_N_72_49_E
84	2DL4	India North Hindu KIR	100.0		72	25_0_N_74_0_E
85	2DL4	India North KIR	100.0		512	26_52_N_80_58_E
86	2DL4	India North pop 2 KIR	100.0		100	26_51_N_80_55_E
87	2DL4	India Northeast Assam Kharachi	100.0		108	21_8_N_72_55_E
88	2DL4	India Northeast Assam Adivasi	100.0		101	21_8_N_72_55_E
89	2DL4	India Northeast Assam Ahom	100.0		104	21_8_N_72_55_E
90	2DL4	India Tamil Nadu Kanikar KIR	100.0		35	13_9_N_80_27_E
91	2DL4	India Tamil Nadu Mollukurumba KIR	100.0		41	13_9_N_80_27_E
92	2DL4	India Tamil Nadu Paravar KIR	100.0		77	13_9_N_80_27_E
93	2DL4	India West Bengal Rabha KIR	100.0		50	26_19_N_89_40_E
94	2DL4	India West Bengal Rajbanshi KIR	100.0		75	22_33_N_88_22_E
95	2DL4	India Western KIR	100.0		161	19_0_N_72_50_E
96	2DL4	Indonesia Java KIR	100.0		45	7_30_S_111_15_E
97	2DL4	Indonesia Moluccan Islands KIR	100.0		63	0_30_N_127_35_E
98	2DL4	Indonesia Sulawesi Minahasans KIR	100.0		60	4_10_S_120_0_E
99	2DL4	Indonesia West Sumatra Minangs KIR	100.0		45	0_36_S_99_51_E
100	2DL4	Iran East Azerbaijan Azerbaijani KIR	100.0		100	38_4_N_46_17_E
101	2DL4	Iran East Azerbaijan Azeri KIR	100.0		84	38_4_N_46_18_E
102	2DL4	Iran Fars Persian KIR	100.0		248	29_36_N_52_31_E
103	2DL4	Iran Hormozgan and Balochistan Jonobi KIR	100.0		100	27_11_N_56_16_E
104	2DL4	Iran Khuzestan Arab KIR	100.0		76	31_18_N_48_42_E
105	2DL4	Iran Khuzestan Bakhtiari KIR	100.0		96	31_18_N_48_42_E
106	2DL4	Iran KIR	100.0		200	35_41_N_51_25_E
107	2DL4	Iran Lur KIR	100.0		100	33_30_N_48_40_E
108	2DL4	Iran Northern KIR	100.0		100	35_41_N_51_25_E
109	2DL4	Iran Tehran KIR	100.0		100	35_42_N_51_25_E
110	2DL4	Ireland KIR pop 2	100.0		240	52_26_N_8_26_W
111	2DL4	Ireland Northern KIR	100.0		200	54_40_N_6_45_W
112	2DL4	Ireland Northern KIR pop2	100.0		154	54_40_N_6_45_W
113	2DL4	Italy KIR	100.0		217	44_30_N_11_21_E
114	2DL4	Italy Lombardy KIR	100.0		50	45_0_N_9_0_E
115	2DL4	Italy Sardinia Cagliari KIR	100.0		181	39_13_N_9_6_E
116	2DL4	Italy West Sicily KIR	100.0		60	38_0_N_13_18_E
117	2DL4	Japan KIR	100.0		50	35_41_N_139_46_E
118	2DL4	Japan KIR pop 2	100.0		41	35_41_N_139_46_E
119	2DL4	Japan KIR pop 3	100.0		132	35_41_N_139_46_E
120	2DL4	Japan Kyoto KIR	100.0		240	35_1_N_135_46_E
121	2DL4	Japan Tokyo KIR	100.0		239	35_41_N_139_46_E
122	2DL4	Jordan Palestine KIR	100.0		105	31_35_N_36_20_E
123	2DL4	Korea pop 2 KIR	100.0		159	37_33_N_126_57_E
124	2DL4	Latvia KIR	100.0		100	57_0_N_25_0_E
125	2DL4	Lebanon KIR	100.0		120	33_54_N_35_32_E
126	2DL4	Macedonia KIR	100.0		214	42_0_N_21_0_E
127	2DL4	Macedonia Romani KIR	100.0		103	41_59_N_21_25_E
128	2DL4	Malaysia Peninsular KIR	100.0		120	6_5_N_102_17_E
129	2DL4	Martinique Mixed KIR	100.0		60	14_40_N_61_0_W
130	2DL4	Mexico Huichol KIR	100.0		73	21_44_N_105_13_W
131	2DL4	Mexico Mestizo Guerrero KIR	100.0		120	17_33_N_99_29_W
132	2DL4	Mexico Mestizo Highlands KIR	100.0		257	19_26_N_99_8_W
133	2DL4	Mexico Mestizo Jalisco KIR	100.0		100	20_40_N_103_21_W
134	2DL4	Mexico Mestizo Jalisco pop 2 KIR	100.0		124	20_37_N_103_20_W
135	2DL4	Mexico Mestizo KIR	100.0		54	19_25_N_99_7_W
136	2DL4	Mexico Mestizo KIR pop 2	100.0		300	24_29_N_102_18_W
137	2DL4	Mexico Mexico City Mestizo KIR	100.0		86	19_25_N_99_7_W
138	2DL4	Mexico Purepecha KIR	100.0		53	19_46_N_101_11_W
139	2DL4	Mexico Tarahumara KIR	100.0		65	27_30_N_107_45_W
140	2DL4	Mexico Torreon Mestizos KIR	100.0	1.000	166	25_32_N_103_25_W
141	2DL4	Mexico Veracruz Mestizo KIR	100.0		51	19_26_N_96_22_W
142	2DL4	Mexico West Mestizo KIR	100.0		124	29_5_N_110_57_W
143	2DL4	Morocco Chaouya KIR	100.0		67	33_4_N_7_37_W
144	2DL4	Norway KIR	100.0		368	59_56_N_10_45_E
145	2DL4	Oman KIR	100.0		99	22_0_N_56_0_E
146	2DL4	Panama KIR	100.0		116	8_58_N_79_32_W
147	2DL4	Papua New Guinea Irian Jaya KIR	100.0		50	1_0_S_133_0_E
148	2DL4	Portugal Azores Terceira Island KIR	100.0		127	38_39_N_27_13_W
149	2DL4	Portugal KIR	100.0		65	38_46_N_9_11_W
150	2DL4	Reunion Mixed KIR	100.0		101	21_6_S_55_31_E
151	2DL4	Romania KIR	100.0		123	44_25_N_26_6_E
152	2DL4	Russia Chechens KIR	100.0		48	45_0_N_46_0_E
153	2DL4	Russia Moscow KIR	100.0		84	55_39_N_37_29_E
154	2DL4	Russia Northwest pop 3 KIR	100.0		100	59_58_N_30_18_E
155	2DL4	Samoa KIR	100.0		50	13_50_S_171_45_W
156	2DL4	Saudi Arabia KIR	100.0		162	24_42_N_46_43_E
157	2DL4	Saudi Arabia KIR pop 2	100.0		148	24_43_N_46_48_E
158	2DL4	Saudi Arabia KIR pop 3	100.0		65	25_0_N_45_0_E
159	2DL4	Saudi Arabia Riyadh KIR	100.0		152	24_38_N_46_43_E
160	2DL4	Scotland Orkney KIR	100.0		90	59_0_N_3_0_W
161	2DL4	Senegal KIR	100.0		118	14_0_N_16_0_W
162	2DL4	Serbia Vojvodina KIR	100.0	1.000	134	45_15_N_19_51_E
163	2DL4	Singapore Chinese KIR	100.0		47	1_22_N_103_48_E
164	2DL4	Singapore Chinese KIR pop 2	100.0		210	1_22_N_103_48_E
165	2DL4	Singapore Indians KIR	100.0		80	1_22_N_103_48_E
166	2DL4	Singapore Malays KIR	100.0		80	1_22_N_103_48_E
167	2DL4	Slovenia KIR	100.0		130	46_15_N_15_1_E
168	2DL4	South Africa Black African KIR	100.0		167	26_8_S_28_3_E
169	2DL4	South Africa Carletonville Gauteng KIR	100.0		81	26_21_S_27_23_E
170	2DL4	South Africa Caucasian KIR	100.0		97	26_8_S_28_3_E
171	2DL4	South Africa Mixed Ancestry KIR	100.0		50	26_20_S_28_3_E
172	2DL4	South Africa San KIR	100.0		91	34_21_S_18_28_E
173	2DL4	South Africa Xhosa KIR	100.0		50	34_0_S_19_0_E
174	2DL4	South Korea KIR	100.0		154	37_0_N_126_0_E
175	2DL4	Spain Avilés KIR	100.0		339	43_9_N_5_55_W
176	2DL4	Spain Basque KIR	100.0		71	43_15_N_2_55_W
177	2DL4	Spain Granada KIR	100.0		100	37_10_N_3_36_W
178	2DL4	Spain Madrid KIR	100.0		131	40_24_N_3_41_W
179	2DL4	Spain Murcia KIR	100.0		200	38_0_N_1_6_W
180	2DL4	Spain Sevilla KIR	100.0		278	37_22_N_5_58_W
181	2DL4	Sweden Vasterbotten KIR	100.0		150	59_21_N_18_4_E
182	2DL4	Taiwan Han KIR pop 4	100.0		97	23_46_N_121_0_E
183	2DL4	Thailand Bangkok KIR	100.0		119	13_45_N_100_29_E
184	2DL4	Thailand Bangkok KIR pop 2	100.0		100	13_45_N_100_29_E
185	2DL4	Thailand Bangkok KIR pop 3	100.0		150	13_45_N_100_31_E
186	2DL4	Thailand North East KIR	100.0		235	16_28_N_102_49_E
187	2DL4	Tokelau KIR	100.0		47	9_10_S_171_50_W
188	2DL4	Tonga KIR	100.0		49	21_8_S_175_12_W
189	2DL4	Trinidad Africans KIR	100.0		62	10_40_N_61_31_W
190	2DL4	Tunisia KIR	100.0		114	34_7_N_9_33_E
191	2DL4	Turkey KIR pop 2	100.0		154	41_1_N_28_59_E
192	2DL4	Turkey KIR pop 3	100.0		187	40_54_N_29_5_E
193	2DL4	Uruguay Mixed KIR	100.0		41	34_53_S_56_10_W
194	2DL4	USA California African American KIR	100.0		58	34_3_N_118_15_W
195	2DL4	USA California Asian American KIR	100.0		150	34_3_N_118_15_W
196	2DL4	USA California Caucasians KIR	100.0		195	34_3_N_118_15_W
197	2DL4	USA California Hispanic KIR	100.0		128	34_3_N_118_15_W
198	2DL4	USA Caucasian KIR	100.0		255	38_53_N_77_2_W
199	2DL4	USA Eastern KIR	100.0		213	39_0_N_76_42_W
200	2DL4	USA Springfield Puerto Rican KIR	100.0		74	42_6_N_72_32_W
201	2DL4	Uzbekistan KIR	100.0		67	41_16_N_69_13_E
202	2DL4	Venezuela Bari KIR	100.0		80	10_0_N_72_57_W
203	2DL4	Venezuela Mestizo KIR	100.0		205	10_30_N_66_55_W
204	2DL4	Venezuela Warao KIR	100.0		89	8_30_N_67_10_W
205	2DL4	Venezuela Yucpa KIR	100.0		61	10_0_N_72_57_W
206	2DL4	Vietnam Hanoi KIR pop 2	100.0		140	21_1_N_105_45_E
207	2DL4	Zimbabwe Harare KIR	100.0		97	19_8_S_29_53_E
208	2DL4	Poland KIR	99.7		690	53_25_N_14_35_E
209	2DL4	Spain Cantabria KIR	99.6		230	43_28_N_3_48_W
210	2DL4	Georgia KIR	99.5		188	41_43_N_44_47_E
211	2DL4	Brazil Rio de Janeiro Mixed KIR	99.4		166	22_53_S_43_17_W
212	2DL4	China Yunnan Province Sunan Yugu KIR	99.0		104	38_50_N_99_37_E
213	2DL4	Equatorial Guinea Bioko Island Bubi KIR	99.0		95	1_55_N_10_6_E
214	2DL4	Pakistan Karachi KIR	99.0		78	24_51_N_67_0_E
215	2DL4	Sweden KIR	99.0		102	59_19_N_18_4_E
216	2DL4	Trinidad South Asians KIR	99.0		108	10_40_N_61_31_W
217	2DL4	Turkey South KIR	99.0		200	37_21_N_34_36_E
218	2DL4	China Mongolia Province KIR	98.9		90	43_37_N_122_15_E
219	2DL4	China Jiangsu Province Han KIR pop2	98.3		60	33_0_N_120_0_E
220	2DL4	South Africa Indian KIR	98.0		50	26_8_S_28_3_E
221	2DL4	Brazil Belem Mixed KIR	97.4		347	1_27_S_48_30_W
222	2DL4	India Madurai Piramalai Kallar Dravidian KIR	97.0		100	9_6_N_78_1_E
223	2DL4	Solomon Islands KIR	95.0		40	9_28_S_159_49_E

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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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