Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 655) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*01:01-DQB1*05:03:01  Papua New Guinea Highland pop2 32.000028
 2  DRB1*14:01-DQA1*01:01-DQB1*05:03:01  Canada British Columbia Athabaskan 16.900062
 3  DQA1*01:01-DQB1*05:03:01  India Bombay 9.700059
 4  DRB1*14:01-DQB1*05:03:01  Papua New Guinea East New Britain Tolai 7.600048
 5  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*14:04-DQB1*05:03:01-DPB1*04:02  China Yunnan Province Lisu 6.7000111
 6  DRB1*14:04-DQB1*05:03:01-DPB1*04:02  China Lijiang Naxi 5.3000100
 7  DQA1*01:01-DQB1*05:03:01  France Ceph 4.4000124
 8  DRB1*14:01-DQA1*01:01-DQB1*05:03:01  Russia Siberia Chukotka Peninsula Eskimo 4.400080
 9  DQA1*01:01-DQB1*05:03:01  Israel Arab 4.2000109
 10  DQA1*01:03-DQB1*05:03:01  Papua New Guinea Highland pop2 3.800028
 11  DRB1*12:02:01-DQB1*05:03:01  China Yunnan Province Lahu 3.600070
 12  DQA1*01:01-DQB1*05:03:01  Israel Yemenite Jews 3.400076
 13  DRB1*14:04-DQB1*05:03:01-DPB1*05:01  China Yunnan Province Bai 3.1000128
 14  DRB1*14:05-DQA1*01:04:01-DQB1*05:03:01  South Korea pop 5 3.1000467
 15  DQA1*01:01-DQB1*05:03:01  Russia Tuva pop 2 3.0000169
 16  DRB1*14:05-DQA1*01:04-DQB1*05:03:01-DPB1*05:01  South Korea pop 2 3.0000207
 17  DRB1*14:04-DQB1*05:03:01  China Yunnan Province Lahu 2.700070
 18  DRB1*14:18-DQB1*05:03:01  China Yunnan Province Lahu 2.700070
 19  DRB1*15:01:01-DQB1*05:03:01  China Yunnan Province Lahu 2.700070
 20  DQA1*01:01-DQB1*05:03:01  Israel Libyan Jews 2.6000119
 21  DRB1*14:01-DQA1*01:01-DQB1*05:03:01  Russia Siberia Chukotka Peninsula Chukchi 2.600059
 22  DQA1*01:01-DQB1*05:03:01  Israel Iranian Jews 2.5000101
 23  DQA1*01:01-DQB1*05:03:01  Japan Fukuoka 2.300086
 24  DRB1*08:03:02-DQB1*05:03:01-DPB1*05:01  China Yunnan Province Bai 2.0000128
 25  DRB1*14:01:01-DQB1*05:03:01  China Inner Mongolia Region Ewenki 1.900094
 26  DRB1*14:01:01-DQB1*05:03:01-DPB1*05:01  China Lijiang Naxi 1.8000100
 27  DRB1*14:01-DQA1*01:04-DQB1*05:03:01  Russia Northwest Slavic 1.5000200
 28  DRB1*14:01-DQA1*01:04:01-DQB1*05:03:01  South Korea pop 5 1.4000467
 29  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 1.2640356
 30  DRB1*14:01-DQA1*01:04-DQB1*05:03:01  Cameroon Yaounde 1.200092
 31  DRB1*14:02-DQA1*01:01-DQB1*05:03:01  Russia Siberia Chukotka Peninsula Eskimo 1.200080
 32  A*24:02:01-B*27:07:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 1.1490174
 33  DQA1*01:01-DQB1*05:03:01  Uganda Baganda 1.100047
 34  A*02:11:01-B*51:01:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.8620174
 35  A*68:01:02-B*58:01:01-C*07:18:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 36  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.5837521
 37  A*11:01:01-B*07:05:01-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.5750174
 38  A*11:01:01-B*08:01:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.5750174
 39  A*02:11:01-B*35:01:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 40  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*15:02:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 41  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.5208192
 42  A*02:03:01-B*51:01:01-C*07:02:01-DRB1*09:01:02-DQB1*05:03:01  Vietnam Kinh 0.4950101
 43  A*02:07:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01  Vietnam Kinh 0.4950101
 44  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*14:05:01-DQB1*05:03:01  Vietnam Kinh 0.4950101
 45  A*24:03:01-B*15:12-C*07:06-DRB1*07:01:01-DQB1*05:03:01  Vietnam Kinh 0.4950101
 46  A*33:03:01-B*44:03:02-C*03:03:01-DRB1*14:18-DQB1*05:03:01  Vietnam Kinh 0.4950101
 47  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.4210356
 48  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.4210356
 49  A*33:03:01-B*55:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.4210356
 50  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:04:02-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Russian Federation Vologda Region 0.4202119
 51  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*16:01:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 52  A*31:01:02-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*02:01:02-DPB1*47:01:01  Russian Federation Vologda Region 0.4202119
 53  A*24:02:01:01-B*48:01:01-C*03:03:01-DRB1*14:01-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 54  A*68:01:02:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 55  A*68:01:02:02-B*51:01:01:01-C*07:04:01-DRB1*14:04:01-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 56  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 57  A*23:01:01-B*50:02-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.3891521
 58  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 59  A*02:01:01-B*15:03-C*04:01:01-DRB1*14:54:01-DQA1*02:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 60  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 61  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 62  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*14:04:01-DQB1*05:03:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 63  A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 64  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 65  A*24:02:01-B*49:01:01-C*12:03:01-DRB1*14:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 66  A*26:01:01-B*50:01:01-C*12:03:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 67  A*29:02:01-B*39:10:01-C*12:03:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 68  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*271:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 69  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*07:01:01-DQB1*05:03:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 70  A*29:02:01-B*35:01:01-C*16:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3105405
 71  A*01:01:01-B*40:01:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 72  A*01:01:01-B*55:01:01-C*12:02:02-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 73  A*02:01:01-B*51:06:01-C*14:02:01-DRB1*14:54:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 74  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*14:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 75  A*02:06:01-B*55:01:01-C*03:03:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 76  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*10:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 77  A*02:11:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 78  A*03:01:01-B*15:05:01-C*03:03:01-DRB1*11:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 79  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 80  A*03:01:01-B*40:06:01-C*12:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 81  A*11:01:01-B*07:05:01-C*07:02:01-DRB1*14:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 82  A*11:01:01-B*35:01:01-C*04:03:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 83  A*11:01:01-B*40:06:01-C*12:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 84  A*24:02:01-B*40:06:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 85  A*24:07:01-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 86  A*26:01:01-B*35:03:01-C*14:02:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 87  A*29:01:01-B*49:01:01-C*07:01:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 88  A*31:01:02-B*15:05:01-C*07:01:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 89  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 90  A*31:01:02-B*40:01:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 91  A*32:01:01-B*15:02:01-C*08:01:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 92  A*32:01:01-B*18:01:01-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 93  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 94  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 95  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 96  A*68:01:02-B*35:03:01-C*12:03:01-DRB1*04:03:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 97  A*02:11:01-B*35:01:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.2810356
 98  A*02:11:01-B*55:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.2810356
 99  A*03:01:01-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.2810356
 100  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*14:15-DQB1*05:03:01  India Kerala Malayalam speaking 0.2810356

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 655) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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