Allele Frequencies in World Populations

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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 4,390) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*38:02  Taiwan Tao 11.000050
 2  B*38:02-C*07:02  Taiwan Tao 11.000050
 3  B*38:02-DRB1*15:02:01  Taiwan Tao 11.000050
 4  A*34-B*38-DRB1*15:02  Malaysia Sabah Kadazan 10.500057
 5  A*11-B*38-DRB1*15:02  Malaysia Sabah Kadazan 8.800057
 6  A*26-B*38  Mongolia Tarialan Khoton 8.700085
 7  A*26-B*38-C*12  England London Ashkenazi Jews 8.1000500
 8  A*26:01-B*38:01-DRB1*04:02  Israel Poland Jews 6.770013,871
 9  B*38:02-C*07:02  USA Asian 6.6000358
 10  A*26:01-B*38:01-DRB1*04:02  Israel USA Jews 6.37006,058
 11  A*26:01-B*38:01-DRB1*04:02  Israel Ashkenazi Jews 6.06004,625
 12  B*38:02-C*07:02  Philippines Ivatan 6.000050
 13  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Campeche, Campeche city 5.882434
 14  A*03-B*38  Pakistan Kalash 5.700069
 15  A*03-B*38-C*07:02  Pakistan Kalash 5.700069
 16  B*38:02-C*07:02  Taiwan Minnan pop 1 5.4000102
 17  A*11-B*38-C*07-DRB1*12  Myanmar Kachin 5.381063
 18  A*24-B*38-DRB1*15:02  Malaysia Sabah Kadazan 5.300057
 19  A*26:01-B*38:01-DRB1*04:02  Israel Argentina Jews 5.19004,307
 20  B*38:02-DRB1*15:02:01  Philippines Ivatan 5.000050
 21  A*02:03-B*38:02  Taiwan Minnan pop 1 4.9000102
 22  A*11-B*38-C*07-DRB1*15  Myanmar Kayah 4.545055
 23  A*24-B*38-C*03  Malaysia Perak Rawa 4.400023
 24  A*24-B*38-DRB1*16-DQB1*03:01  Mexico Tamaulipas, Ciudad Victoria 4.347823
 25  A*03-B*38-DRB1*14  Pakistan Kalash 4.300069
 26  A*24-B*38-C*06-DRB1*11-DQB1*03  Spain Majorcans Jews 4.3000103
 27  A*26:01-B*38:01-DRB1*04:02  Israel USSR Jews 4.160045,681
 28  A*34-B*38-C*07  Malaysia Kelantan pop 1 4.000025
 29  A*30:01-B*38:01-DRB1*11:04  Israel Bukhara Jews 3.92002,317
 30  A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 3.71191350,614
 31  A*02:03-B*38:02  Hong Kong Chinese 3.6000569
 32  B*38:02-C*07:02  Taiwan Hakka 3.600055
 33  B*38:02-C*07:02  USA Asian pop 2 3.57601,772
 34  A*24:07-B*38:02-DRB1*11:05  Malaysia Kelantan 3.571428
 35  A*02:03-B*38:02-C*07:02  China Canton Han 3.5000264
 36  A*02:03-B*38:02  Singapore Chinese 3.4000149
 37  A*02-B*38-C*12-DRB1*11-DQB1*03  Spain Majorca 3.4000407
 38  A*02-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Tlajomulco 3.333330
 39  A*02:03:01-B*38:02:01-C*07:02  China Guizhou Province Bouyei 3.3000109
 40  A*02-B*38-C*07-DRB1*15  Myanmar Bamar 3.191047
 41  B*38-C*12  Macedonia 3.1469286
 42  A*02-B*38-C*07-DRB1*15  Myanmar Rakhine 3.125048
 43  B*38-C*12  Costa Rica Central Valley Mestizo 3.1000130
 44  A*26:01-B*38:01-DRB1*16:01  Israel Georgia Jews 3.02004,471
 45  A*24:02-B*38:02  Philippines Ivatan 3.000050
 46  B*38:01-C*12:03  Tunisia 3.0000100
 47  A*32-B*38-DRB1*07-DQB1*03:01  Mexico Campeche, Campeche city 2.941234
 48  A*24-B*38-DRB1*15  Malaysia pop 3 2.90001,445
 49  B*38:02-C*07:02  Taiwan Siraya 2.900051
 50  A*02:03-B*38:02-DRB1*15:01  China Guangxi Region Maonan 2.8000108
 51  A*11-B*38-DRB1*08:03:02  China Yunnan Province Naxi pop 2 2.700096
 52  A*02:03-B*38:02-C*07:02  China Southwest Dai 2.6000124
 53  A*24-B*38-C*12-DRB1*13-DQB1*06  Spain Majorcans Jews 2.6000103
 54  B*38:01-C*12:03  USA Caucasian pop 2 2.5000265
 55  B*38:02-DRB1*08:03:02  Taiwan Minnan pop 1 2.5000102
 56  B*38:02-DRB1*16:02:01  Taiwan Minnan pop 1 2.5000102
 57  A*01-B*38-DRB1*11-DQB1*03:01  Mexico Campeche state 2.469181
 58  A*02:03-B*38:02-DRB1*16:02  China Southwest Dai 2.4000124
 59  A*11:01-B*38:02-C*07:02  USA Asian 2.4000358
 60  A*11:01-B*38:02-C*07:02-DRB1*15:02  China Yunnan Bulang 2.4000116
 61  A*26:01-B*38:01-DRB1*14:01  Israel Morocco Jews 2.400036,718
 62  A*26-B*38  Mongolia Ulaanbaatar Khalkha 2.400041
 63  A*24:07-B*38:02-DRB1*15:01  Malaysia Kedah Kensiu 2.380021
 64  A*11:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 2.35302450,614
 65  A*02-B*38  Iran pop 1 2.300064
 66  B*38:02-C*07:02-DRB1*15:02  China Southwest Dai 2.3000124
 67  A*11-B*38-C*07-DRB1*15  Myanmar Kayin 2.273044
 68  A*11-B*38-C*07-DRB1*15-DQB1*05-DPB1*02  Myanmar Kayin 2.273044
 69  A*11:01-B*38:02  USA Asian 2.2000358
 70  B*38:02-C*07:02-DRB1*16:02  China Southwest Dai 2.2000124
 71  A*26:01-B*38:01-DRB1*14:01  Israel Georgia Jews 2.14004,471
 72  A*30:02-B*38:01-DRB1*14:01  Israel Bukhara Jews 2.13002,317
 73  A*02-B*38-C*07-DRB1*15-DQB1*05-DPB1*04  Myanmar Bamar 2.128047
 74  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Chimila Amerindians 2.127747
 75  A*24-B*38-C*07-DRB1*12  Myanmar Kachin 2.121063
 76  A*24:02-B*38:02  USA Asian 2.1000358
 77  A*31-B*38-DRB1*04:11-DQB1*04:02  Wayu from Guajira Peninsula (Colombia) 2.080048
 78  A*02:03-B*38:02-DRB1*03:01  Malaysia Patani 2.000025
 79  A*03-B*38-C*12  England London Ashkenazi Jews 2.0000500
 80  A*34-B*38-DRB1*15:02  Malaysia Sarawak Bidayuh 2.000050
 81  A*26:01-B*38:01-DRB1*04:02  Israel Morocco Jews 1.990036,718
 82  A*34:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 1.9890250,614
 83  A*26:01-B*38:01-DRB1*13:02  Israel Iran Jews 1.98008,153
 84  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Wiwa El Encanto 1.923152
 85  A*26-B*38-DRB1*13-DQB1*06  Mexico Mexico City South 1.923152
 86  A*26-B*38-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 1.9048103
 87  A*02:03-B*38:02  USA Asian 1.9000358
 88  A*26-B*38  Russia South Ural Russian 1.9000207
 89  A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03  Spain Murcia 1.9000173
 90  A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 91  B*38:01-C*12:03  USA Hispanic pop 2 1.85601,999
 92  A*11-B*38-C*07-DRB1*15  Myanmar Shan 1.852054
 93  A*11:01-B*38:02-DRB1*15:03  Malaysia Mandailing 1.851927
 94  A*24:10-B*38:02-DRB1*04:06  Malaysia Mandailing 1.851927
 95  A*24-B*38-C*07-DRB1*15  Myanmar Kachin 1.848063
 96  A*02:03-B*38:02  Taiwan Hakka 1.800055
 97  A*02:03-B*38:02  Taiwan Pazeh 1.800055
 98  A*33-B*38-DRB1*11:04-DQB1*03:01  Peru Lamas City Lama 1.800083
 99  B*38:01-C*12:03  Italy pop 5 1.7600975
 100  A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 1.7544130

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 4,390) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  


   

Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations.
Gonzalez-Galarza FF, Takeshita LY, Santos EJ, Kempson F, Maia MH, Silva AL, Silva AL, Ghattaoraya GS, Alfirevic A, Jones AR and Middleton D Nucleic Acid Research 2015, 39, 28, D784-8.
Liverpool, U.K.

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