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Line	Allele	Population	% of individuals that have the allele	Allele Frequency	Sample Size	Location
1	A*01:01	India Delhi pop 2	20.0	0.1050	90	28_36_N_77_13_E
2	A*01:02	India Delhi pop 2	6.7	0.0330	90	28_36_N_77_13_E
3	A*02:01	India Delhi pop 2	3.3	0.0170	90	28_36_N_77_13_E
4	A*02:02	India Delhi pop 2	3.3	0.0170	90	28_36_N_77_13_E
5	A*02:03	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
6	A*02:05	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
7	A*02:06	India Delhi pop 2	14.4	0.0770	90	28_36_N_77_13_E
8	A*02:11	India Delhi pop 2	3.3	0.0170	90	28_36_N_77_13_E
9	A*02:17	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
10	A*03:01	India Delhi pop 2	13.3	0.0720	90	28_36_N_77_13_E
11	A*03:02	India Delhi pop 2	4.4	0.0220	90	28_36_N_77_13_E
12	A*11:01	India Delhi pop 2	18.9	0.0940	90	28_36_N_77_13_E
13	A*23:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
14	A*24:02	India Delhi pop 2	2.2	0.0170	90	28_36_N_77_13_E
15	A*24:03	India Delhi pop 2	5.6	0.0270	90	28_36_N_77_13_E
16	A*24:06	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
17	A*24:07	India Delhi pop 2	3.3	0.0170	90	28_36_N_77_13_E
18	A*24:10	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
19	A*26:01	India Delhi pop 2	2.2	0.0170	90	28_36_N_77_13_E
20	A*26:03	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
21	A*29:01	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
22	A*29:02	India Delhi pop 2	5.6	0.0270	90	28_36_N_77_13_E
23	A*30:01	India Delhi pop 2	6.7	0.0330	90	28_36_N_77_13_E
24	A*31	India Delhi pop 2	12.2	0.0600	90	28_36_N_77_13_E
25	A*32:01	India Delhi pop 2	5.6	0.0270	90	28_36_N_77_13_E
26	A*33:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
27	A*34:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
28	A*43:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
29	A*66:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
30	A*68:01	India Delhi pop 2	18.9	0.0940	90	28_36_N_77_13_E
31	A*69:01	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
32	B*07:02	India Delhi pop 2	6.6	0.0330	90	28_36_N_77_13_E
33	B*07:05	India Delhi pop 2	4.4	0.0220	90	28_36_N_77_13_E
34	B*08:01	India Delhi pop 2	3.3	0.0160	90	28_36_N_77_13_E
35	B*08:03	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
36	B*13:01	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
37	B*13:02	India Delhi pop 2	4.4	0.0220	90	28_36_N_77_13_E
38	B*15:01	India Delhi pop 2	3.3	0.0160	90	28_36_N_77_13_E
39	B*15:02	India Delhi pop 2	3.3	0.0160	90	28_36_N_77_13_E
40	B*15:05	India Delhi pop 2	3.3	0.0160	90	28_36_N_77_13_E
41	B*15:08	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
42	B*15:17	India Delhi pop 2	2.2	0.0160	90	28_36_N_77_13_E
43	B*15:18	India Delhi pop 2	3.3	0.0160	90	28_36_N_77_13_E
44	B*15:29	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
45	B*18:01	India Delhi pop 2	5.5	0.0330	90	28_36_N_77_13_E
46	B*18:02	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
47	B*27:03	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
48	B*27:05	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
49	B*27:07	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
50	B*35:01	India Delhi pop 2	7.7	0.0440	90	28_36_N_77_13_E
51	B*35:02	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
52	B*35:03	India Delhi pop 2	13.2	0.0660	90	28_36_N_77_13_E
53	B*35:05	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
54	B*35:08	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
55	B*35:13	India Delhi pop 2	3.3	0.0160	90	28_36_N_77_13_E
56	B*37:01	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
57	B*38:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
58	B*39:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
59	B*40:01	India Delhi pop 2	3.3	0.0160	90	28_36_N_77_13_E
60	B*40:02	India Delhi pop 2	2.2	0.0110	90	28_36_N_77_13_E
61	B*40:05	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
62	B*40:06	India Delhi pop 2	13.2	0.0660	90	28_36_N_77_13_E
63	B*41:02	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
64	B*42:01	India Delhi pop 2	4.4	0.0220	90	28_36_N_77_13_E
65	B*44:02	India Delhi pop 2	1.1	0.0110	90	28_36_N_77_13_E
66	B*44:03	India Delhi pop 2	9.9	0.0550	90	28_36_N_77_13_E
67	B*47:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
68	B*48:01	India Delhi pop 2	4.4	0.0220	90	28_36_N_77_13_E
69	B*50:01	India Delhi pop 2	7.7	0.0380	90	28_36_N_77_13_E
70	B*51:01	India Delhi pop 2	12.1	0.0600	90	28_36_N_77_13_E
71	B*52:01	India Delhi pop 2	8.8	0.0490	90	28_36_N_77_13_E
72	B*53:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
73	B*55:01	India Delhi pop 2	6.6	0.0330	90	28_36_N_77_13_E
74	B*56:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
75	B*57:01	India Delhi pop 2	9.9	0.0490	90	28_36_N_77_13_E
76	B*58:01	India Delhi pop 2	15.4	0.0880	90	28_36_N_77_13_E
77	B*78:02	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
78	B*81:01	India Delhi pop 2	1.1	0.0050	90	28_36_N_77_13_E
79	C*01:02	India Delhi pop 2	6.2	0.0310	90	28_36_N_77_13_E
80	C*02:02	India Delhi pop 2	2.5	0.0120	90	28_36_N_77_13_E
81	C*03:02	India Delhi pop 2	16.0	0.0800	90	28_36_N_77_13_E
82	C*03:03	India Delhi pop 2	1.2	0.0060	90	28_36_N_77_13_E
83	C*03:04	India Delhi pop 2	3.7	0.0190	90	28_36_N_77_13_E
84	C*04:01	India Delhi pop 2	22.2	0.1170	90	28_36_N_77_13_E
85	C*05:01	India Delhi pop 2	2.5	0.0120	90	28_36_N_77_13_E
86	C*06:02	India Delhi pop 2	22.2	0.1360	90	28_36_N_77_13_E
87	C*07:01	India Delhi pop 2	14.8	0.0800	90	28_36_N_77_13_E
88	C*07:02	India Delhi pop 2	14.8	0.0990	90	28_36_N_77_13_E
89	C*07:04	India Delhi pop 2	6.2	0.0310	90	28_36_N_77_13_E
90	C*08:01	India Delhi pop 2	2.5	0.0120	90	28_36_N_77_13_E
91	C*08:03	India Delhi pop 2	1.2	0.0060	90	28_36_N_77_13_E
92	C*12:02	India Delhi pop 2	13.6	0.0800	90	28_36_N_77_13_E
93	C*12:03	India Delhi pop 2	16.0	0.0800	90	28_36_N_77_13_E
94	C*14:02	India Delhi pop 2	2.5	0.0120	90	28_36_N_77_13_E
95	C*14:03	India Delhi pop 2	1.2	0.0060	90	28_36_N_77_13_E
96	C*15:02	India Delhi pop 2	11.1	0.0620	90	28_36_N_77_13_E
97	C*15:03	India Delhi pop 2	7.4	0.0370	90	28_36_N_77_13_E
98	C*15:04	India Delhi pop 2	2.5	0.0120	90	28_36_N_77_13_E
99	C*15:05	India Delhi pop 2	3.7	0.0190	90	28_36_N_77_13_E
100	C*16:01	India Delhi pop 2	1.2	0.0060	90	28_36_N_77_13_E
101	C*16:02	India Delhi pop 2	4.9	0.0250	90	28_36_N_77_13_E
102	C*17:01	India Delhi pop 2	1.2	0.0060	90	28_36_N_77_13_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.
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