Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 1,076) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:01-DQA1*03-DQB1*03:03:02  Equatorial Guinea Bioko Island Bubi 27.5000100
 2  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Dudinka Nganasan 25.000024
 3  DQA1*03-DQB1*03:03:02  Cameroon Saa 24.1000172
 4  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia North East Kamchatka Koryak 22.300092
 5  DQA1*03-DQB1*03:03:02  Ecuador Cayapa 21.1000183
 6  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Gvaysugi Udege 19.000025
 7  DQA1*03-DQB1*03:03:02  Japan Fukuoka 17.400086
 8  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Chukchi 14.700059
 9  DRB1*09:01-DQA1*03:01-DQB1*03:03:02  Canada British Columbia Athabaskan 10.500062
 10  DRB1*09:01:02-DQB1*03:03:02  China Shandong Province Han 9.700098
 11  DRB1*09:01-DQA1*03:02-DQB1*03:03:02  South Korea pop 5 9.1000467
 12  DRB1*13:01-DQA1*03:02-DQB1*03:03:02  Cameroon Yaounde 7.900092
 13  DQA1*02:01-DQB1*03:03:02  France Ceph 5.6000124
 14  DQA1*03-DQB1*03:03:02  Russia Tuva pop 2 5.0000169
 15  DRB1*09:01:02-DQB1*03:03:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 16  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Eskimo 4.400080
 17  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 4.300035
 18  DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02-DPB1*05:01  South Korea pop 2 3.7000207
 19  DRB1*09:01:02-DQB1*03:03:02  China Yunnan Province Lahu 3.600070
 20  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 3.37431,734
 21  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 3.1035186
 22  DQA1*02:01-DQB1*03:03:02  India Bombay 3.000059
 23  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Lower Yenisey Ket 2.900017
 24  DRB1*15:01-DQA1*01:01-DQB1*03:03:02  Russia Siberia Polygus Evenk 2.900035
 25  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.8540101
 26  DRB1*09:01:02-DQB1*03:03:02-DPB1*05:01  China Yunnan Province Bai 2.7000128
 27  DRB1*09:01:02-DQB1*03:03:02-DPB1*05:01  China Lijiang Naxi 2.6000100
 28  DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02-DPB1*02:01  South Korea pop 2 2.5000207
 29  DRB1*04:01-DQA1*03-DQB1*03:03:02  Russia Siberia Gvaysugi Udege 2.400025
 30  A*66:01:01-B*58:02:01-C*06:02:01-DRB1*08:07-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 31  DRB1*07:01:01-DQB1*03:03:02  India Mumbai Maratha 2.320091
 32  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Sulamai Ket 2.300022
 33  DRB1*04:01-DQA1*03-DQB1*03:03:02  Russia Siberia North East Kamchatka Koryak 2.200092
 34  DQA1*02:01-DQB1*03:03:02  Russia Tuva pop 2 2.1000169
 35  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.0960101
 36  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 2.0680356
 37  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 2.0110174
 38  DRB1*07:01:01-DQB1*03:03:02  China Shandong Province Han 2.000098
 39  DRB1*14:02-DQA1*04:01-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Eskimo 1.900080
 40  A*01:01-B*57:01:01-C*06:02-DRB1*07:01:01-DQB1*03:03:02  England North West 1.8000298
 41  DRB1*04:05:01-DQB1*03:03:02  China Yunnan Province Lahu 1.800070
 42  A*11:01:01-B*51-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02-DPB1*04:01:01  China Yunnan Province Lisu 1.7000111
 43  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 1.4850101
 44  A*32:01:01-B*57:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 45  DRB1*04:01-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 46  DRB1*04:01-DQA1*04:01-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 47  DRB1*12:01-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 48  DRB1*12:01-DQA1*05:01-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 49  DRB1*14:03-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 1.400035
 50  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 1.31081,734
 51  DRB1*13:04-DQA1*03-DQB1*03:03:02  Equatorial Guinea Bioko Island Bubi 1.3000100
 52  DRB1*04:01-DQA1*03-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Eskimo 1.200080
 53  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 1.1600215
 54  DQA1*03-DQB1*03:03:02  Uganda Baganda 1.100047
 55  DRB1*14:02-DQA1*05:01-DQB1*03:03:02  Russia Siberia North East Kamchatka Koryak 1.100092
 56  A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 1.0944186
 57  A*02:01-B*57:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.8772130
 58  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 59  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.81601,734
 60  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.795623,595
 61  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.731523,595
 62  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.70431,510
 63  A*24:02:01-B*40:06:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.69911,734
 64  A*01:01:01-B*41:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02-DPB1*04:02:01  Saudi Arabia pop 6 (G) 0.643328,927
 65  A*11:01:01-B*40:02:01-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 66  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5980186
 67  A*01:01:01-B*14:02:01-C*06:02:01-DRB1*08:04:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 68  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 69  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 70  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*04:02:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Parda 0.5882170
 71  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*08:04:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*02:01:19  Brazil Rio de Janeiro Parda 0.5882170
 72  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 73  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 74  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.57681,734
 75  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.5750174
 76  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.54461,734
 77  A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.54331,510
 78  A*11:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5376186
 79  A*02:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*03:03:02:01  Russia Bashkortostan, Tatars 0.5208192
 80  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 81  A*02:01:01-B*40:01:02-C*04:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 82  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 83  A*02:01:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 84  A*02:07:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 85  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*04:06:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 86  A*11:04-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 87  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 88  A*24:20-B*48:01:01-C*08:03:01-DRB1*15:02:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 89  A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 90  A*29:01:01-B*55:02:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 91  A*33:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 92  A*33:03:01-B*15:13:01-C*03:02:02-DRB1*10:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 93  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.47111,734
 94  A*11:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.4550356
 95  A*01:01-B*57:01-C*07:01-E*01:01:01-F*01:01:01-G*01:06-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 96  A*02:06-B*57:01-C*06:02-E*01:01:01-F*01:01:01-G*01:06-DRB1*14:01-DQA1*01:04-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 97  A*03:02-B*50:01-C*14:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*03:02-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 98  A*24:02-B*18:01-C*07:01-E*01:01:01-F*01:01:01-G*01:04-DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 99  A*29:02-B*45:01-C*06:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 100  A*33:01-B*14:02-C*08:02-E*01:01:01-F*01:01:02-G*01:03-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130

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 1,076) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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