Allele Frequencies in World Populations

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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Displaying 1 to 100 (from 394) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:01:01-DPB1*09:01  Japan Fukuoka 11.000086
 2  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 7.32003,078
 3  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*09:01  Japan Central 6.2000371
 4  DPA1*02:01:01-DPB1*09:01  Russia Tuva pop 2 5.0000169
 5  DPA1*02:01:01-DPB1*09:01  India Bombay 4.200059
 6  A*02-B*35-C*04-DRB1*12-DQB1*03-DPB1*09  Myanmar Kayin 3.409044
 7  A*11-B*15-C*04-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 2.273044
 8  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  South Korea pop 1 2.0000324
 9  DRB1*15:02-DQB1*06:01-DPB1*09:01  South Korea pop 1 2.0000324
 10  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  USA San Diego 1.3020496
 11  DPA1*02:01:01-DPB1*09:01  France Ceph 1.2000124
 12  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  South Korea pop 2 1.2000207
 13  A*02-B*13-C*04-DRB1*12-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 14  A*02-B*13-C*12-DRB1*12-DQB1*05-DPB1*09  Myanmar Kayin 1.136044
 15  A*02-B*38-C*07-DRB1*04-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 16  A*02-B*40-C*03-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 1.136044
 17  A*02-B*52-C*07-DRB1*04-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 18  A*11-B*07-C*03-DRB1*12-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 19  A*24-B*40-C*03-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 1.136044
 20  A*24-B*40-C*04-DRB1*15-DQB1*05-DPB1*09  Myanmar Kayin 1.136044
 21  A*33:03-B*58:01-DRB1*13:02-DPB1*09:01  China Canton Han 1.1000264
 22  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*09:01  China Canton Han 1.1000264
 23  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.7003714
 24  A*66:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*09:01  South Africa Worcester 0.6000159
 25  DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*09:01  Hong Kong Chinese HKBMDR. DQ and DP 0.59001,064
 26  DQB1*02:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.5620496
 27  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*09:01  China Zhejiang Han pop 2 0.5402833
 28  DRB1*07:01:01:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.5370496
 29  DQB1*05:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.4930496
 30  DRB1*03:01:01:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.4810496
 31  A*24:02-B*58:01-C*06:02-DRB1*15:03-DQB1*06:02-DPB1*09:01  Tanzania Maasai 0.4792336
 32  DQB1*03:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.4540496
 33  DRB1*03:01:01:01-DQB1*02:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.4280496
 34  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.37365,266
 35  DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*09:01  Hong Kong Chinese HKBMDR. DQ and DP 0.33601,064
 36  A*02:01-B*40:06-C*15:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.3271570
 37  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*02:02-DPA1*01:03:01-DPB1*09:01  Russia Belgorod region 0.3268153
 38  A*03:01:01-B*44:27:01-C*12:03:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*02:02-DPA1*01:03:01-DPB1*09:01  Russia Belgorod region 0.3268153
 39  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*09:01  Russia Belgorod region 0.3268153
 40  A*03:01:01-B*35:03:01-C*06:02:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*02:01:01-DPB1*09:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 41  A*03:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*09:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 42  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*02:01-DPB1*09:01  China Zhejiang Han pop 2 0.3001833
 43  A*30:01-B*58:01-C*06:02-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*09:01  South Africa Worcester 0.3000159
 44  A*30:02-B*15:02-C*03:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*09:01  South Africa Worcester 0.3000159
 45  A*68:01-B*15:01-C*17:01-DRB1*15:02-DQA1*01:03-DQB1*04:02-DPB1*09:01  South Africa Worcester 0.3000159
 46  DQB1*06:03-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2830496
 47  A*24:02-B*40:06-C*15:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.2801714
 48  DRB1*13:01:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2770496
 49  DRB1*13:01:01-DQB1*06:03-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2770496
 50  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*09:01  USA San Diego 0.2600496
 51  A*01:01-B*18:01-C*15:10-DRB1*07:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  USA San Diego 0.2600496
 52  A*23:01-B*15:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  USA San Diego 0.2600496
 53  A*68:01-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*09:01  USA San Diego 0.2600496
 54  DRB1*12:01:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2380496
 55  DRB1*12:01:01-DQB1*03:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2350496
 56  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.2101714
 57  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.2101714
 58  DQB1*06:09-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 59  DRB1*07:01:01:01-DQB1*02:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 60  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 61  A*25:01:01-B*35:03:01-C*03:03:01-DRB1*13:02:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 62  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 63  A*03:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*09:01  Panama 0.1900462
 64  A*33:30-B*08:14-C*08:02-DRB1*03:01-DQB1*02:01-DPB1*09:01  Panama 0.1900462
 65  DRB1*07:01:01:01-DQB1*03:03-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1890496
 66  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.1869570
 67  DRB1*13:02:01-DQB1*06:09-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1650496
 68  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.16003,078
 69  DRB1*04:04:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1440496
 70  DRB1*13:02:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1420496
 71  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.14093,456,066
 72  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.1402570
 73  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 74  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*09:01  Sri Lanka Colombo 0.1401714
 75  A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 76  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*09:01  Sri Lanka Colombo 0.1401714
 77  A*68:01-B*55:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 78  DRB1*04:04:01-DQB1*03:02-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1380496
 79  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 80  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 81  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 82  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 83  DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*09:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12831,064
 84  DQB1*03:03-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1210496
 85  DRB1*04:01:01-DQB1*03:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 86  DRB1*04:05:01-DQB1*04:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 87  DRB1*04:07:01-DQB1*03:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 88  DRB1*04:38-DQB1*03:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 89  DRB1*08:03:02-DQB1*03:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 90  DRB1*10:01:01-DQB1*05:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 91  DRB1*15:04-DQB1*05:02-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 92  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.10003,078
 93  A*23:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 94  A*01:01-B*40:06-C*15:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.0935570
 95  A*11:01-B*15:02-C*08:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*09:01  United Arab Emirates Pop 1 0.0935570
 96  A*24:03-B*51:06-C*12:04-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.0935570
 97  A*26:01-B*18:01-C*07:04-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPA1*03:03-DPB1*09:01  United Arab Emirates Pop 1 0.0935570
 98  A*32:01-B*40:01-C*03:04-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.0935570
 99  DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07141,064
 100  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714

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 1 to 100 (from 394) records   Pages: 1 2 3 4 of 4  


   

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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