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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,433) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Khabarovsk Evenki 26.000025
 2  DRB1*09:01:02-DQB1*03:03  Samoa 25.900029
 3  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Dudinka Nganasan 25.000024
 4  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia North East Kamchatka Koryak 22.300092
 5  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Negidal 20.000035
 6  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Gvaysugi Udege 19.000025
 7  DRB1*09:01-DQB1*03:03  Taiwan pop 2 16.3000364
 8  DRB1*09:01-DQB1*03:03  Sweden Northern Sami 16.0000154
 9  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Ulchi 15.800073
 10  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Chukchi 14.700059
 11  DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh 14.1000103
 12  DRB1*09:01-DQB1*03:03  Japan Hokkaido Ainu 14.000050
 13  DRB1*09:01:02-DQB1*03:03  China Inner Mongolia Autonomous Region Northeast 12.3990496
 14  DRB1*09:01-DQB1*03:03  Japan Central 12.3000371
 15  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  China Urumqi Han 11.900059
 16  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  Japan pop 2 10.8000916
 17  DRB1*09:01-DQA1*03:01-DQB1*03:03:02  Canada British Columbia Athabaskan 10.500062
 18  DRB1*09:01:02-DQB1*03:03:02  China Shandong Province Han 9.700098
 19  DRB1*09:01-DQB1*03:03  USA Asian pop 2 9.66401,772
 20  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Irkutsk Tofalar 9.300043
 21  DRB1*09:01-DQA1*03:02-DQB1*03:03:02  South Korea pop 5 9.1000467
 22  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 8.5301833
 23  DRB1*09:01-DQA1*03:02-DQB1*03:03  South Korea pop 1 8.3000324
 24  DRB1*09:01-DQB1*03:03  USA Alaska Yupik 7.7000252
 25  DRB1*09:01-DQB1*03:03  Sweden Southern Sami 7.6000130
 26  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  China Canton Han 6.8000264
 27  DRB1*09:01:02-DQB1*03:03  Philippines 6.700034
 28  DRB1*09:01-DQB1*03:03  Vietnam HoaBinh Muong 6.700083
 29  DRB1*09:01:02-DQB1*03:03  Papua New Guinea Lowland 5.600047
 30  A*02-B*35-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 5.491087
 31  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Khanty Mansi 5.100068
 32  DRB1*09:01:02-DQB1*03:03-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 5.0170496
 33  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  China Urumqi Kazak 4.800042
 34  DRB1*09:01:02-DQB1*03:03:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 35  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Tuva Todja 4.500022
 36  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Chukotka Peninsula Eskimo 4.400080
 37  DRB1*09:01-DQB1*03:03-DPB1*05:01  South Korea pop 1 4.4000324
 38  A*24:02-B*40:02-DRB1*09:01-DQB1*03:03  USA Alaska Yupik 4.3000252
 39  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Polygus Evenk 4.300035
 40  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*05:01  South Korea pop 1 4.2000324
 41  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 3.974199,672
 42  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*02:01  South Korea pop 11 3.9000149
 43  DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02-DPB1*05:01  South Korea pop 2 3.7000207
 44  DRB1*09:01:02-DQB1*03:03:02  China Yunnan Province Lahu 3.600070
 45  A*02:01-B*40:01-C*03:04-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 3.507211,499
 46  A*02-B*39-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 3.448087
 47  DRB1*09:01:02-DQA1*03-DQB1*03:03  China Urumqi Uyghur 3.400057
 48  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
 49  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*05:01  South Korea pop 11 3.3000149
 50  DRB1*09:01:02-DQB1*03:03-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 3.1810496
 51  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 3.132643,540
 52  A*02-B*39-DRB1*09:01:02-DQB1*03:03  Peru Lamas City Lama 3.000083
 53  DRB1*09:01-DQA1*03:01-DQB1*03:03  Mongolia Tarialan Khoton 3.000085
 54  DRB1*09:01:02-DQA1*03:01/03:02/03:03-DQB1*03:03:02  Russia Siberia Lower Yenisey Ket 2.900017
 55  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*02:01  South Korea pop 1 2.9000324
 56  DRB1*09:01-DQB1*03:03-DPB1*02:01  Mongolia Tarialan Khoton 2.900085
 57  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.8540101
 58  DRB1*09:01-DQB1*03:03-DPB1*02:01  South Korea pop 1 2.8000324
 59  DRB1*09:01:02-DQB1*03:03:02-DPB1*05:01  China Yunnan Province Bai 2.7000128
 60  DRB1*09:01:02-DQB1*03:03  Malaysia 2.600074
 61  DRB1*09:01:02-DQB1*03:03:02-DPB1*05:01  China Lijiang Naxi 2.6000100
 62  A*02:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 2.5440194
 63  DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02-DPB1*02:01  South Korea pop 2 2.5000207
 64  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  China Canton Han 2.5000264
 65  DRB1*09:01:02-DQA1*02:01-DQB1*03:03  China Urumqi Kazak 2.400042
 66  A*02:06-B*40:02-DRB1*09:01-DQB1*03:03  USA Alaska Yupik 2.3000252
 67  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Tuva pop3 2.300044
 68  DRB1*09:01:02-DQA1*03-DQB1*03:03:02  Russia Siberia Sulamai Ket 2.300022
 69  B*40:06-DRB1*09:01-DQB1*03:03  South Korea pop 3 2.2000485
 70  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia Quechua 2.100069
 71  A*68-B*35-DRB1*09:01-DQB1*03:03  Bolivia Quechua 2.100069
 72  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:02  China Canton Han 2.1000264
 73  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 2.0960101
 74  A*24-B*35-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 2.038087
 75  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 2.0000170
 76  DRB1*09:01:02-DQA1*03-DQB1*03:03  Russia Siberia Kushun Buryat 2.000025
 77  DRB1*09:01-DQA1*03:01-DQB1*03:03  Russia Northwest Slavic 2.0000200
 78  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.9200833
 79  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Vietnam Hanoi Kinh pop 2 1.8000170
 80  A*24-B*15-DRB1*09:01:02-DQB1*03:03  Peru Lamas City Lama 1.800083
 81  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
 82  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*13:01  China Canton Han 1.7000264
 83  A*02-B*15-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 1.689087
 84  A*02-B*48-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 1.688087
 85  DRB1*09:01:02-DQB1*03:03-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 1.6270496
 86  DRB1*09:01-DQA1*03:01-DQB1*03:03  USA San Francisco Caucasian 1.6000220
 87  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 1.5525833
 88  A*11:01-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 1.5464194
 89  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 1.54401,772
 90  DRB1*09:01-DQB1*03:03-DMB*01:01  Ecuadorean Amerindians 1.531275
 91  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 1.4850101
 92  A*02-B*15-DRB1*09:01-DQB1*03:03  Bolivia Quechua 1.450069
 93  A*02:01-B*51:01-DRB1*09:01:02-DQB1*03:03  USA South Dakota Lakota Sioux 1.4000302
 94  DRB1*09:01:02-DQA1*03:01/03:02-DQB1*03:03  England pop 6 1.4000177
 95  DRB1*09:01-DRB4*01:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  USA San Francisco Caucasian 1.4000220
 96  DRB1*09:01-DRB4*01:01-DQA1*03:01-DQB1*03:03-DPB1*04:01  USA San Francisco Caucasian 1.4000220
 97  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
 98  B*15:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.3000485
 99  DRB1*09:01:02-DQB1*03:03  Indonesia Nusa Tenggara Islands 1.300049
 100  DRB1*09:01-DQB1*03:03  Georgia Caucasus Tbilisi 1.2605119

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 1,433) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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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