Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 249) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 4.815343,540
 2  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Vietnam Hanoi Kinh pop 2 4.7000170
 3  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 4.4550101
 4  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 5  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 6  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.78545,829
 7  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.7020356
 8  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.66701,772
 9  A*24-B*07-DRB1*10-DQB1*05  Mexico Michoacan, Morelia 0.6623150
 10  A*03-B*07-DRB1*10-DQB1*05  Mexico Hidalgo Rural 0.617381
 11  A*23-B*07-DRB1*10-DQB1*05  Mexico Jalisco, Zapopan 0.5952168
 12  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 13  A*03:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 14  A*29:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 15  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.5112185,391
 16  A*02-B*07-C*06-DRB1*10-DQB1*05  Sudan Khartoum 0.510098
 17  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.488211,446
 18  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.477927,978
 19  A*29-B*07-DRB1*10-DQB1*05  Mexico Coahuila Rural 0.4587216
 20  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 21  A*29:01:01:01-B*07:05-C*15:05-E*01:01:01-F*01:01:02-G*01:01-DRB1*10:01-DQA1*01:05-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 22  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 23  A*29-B*07-DRB1*10-DQB1*05  Mexico Chihuahua Chihuahua City 0.4202119
 24  A*01:01:01:01-B*07:02:01-C*07:01:01-DRB1*10:01:01-DQB1*05:02  Russia Bashkortostan, Bashkirs 0.4167120
 25  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 26  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.402799,672
 27  A*03-B*07-DRB1*10-DQB1*05  Mexico Yucatan Rural 0.3731132
 28  A*02:16-B*07:05-C*07:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 29  A*29-B*07-DRB1*10-DQB1*05  Mexico Tabasco Rural 0.3521142
 30  A*01-B*07-DRB1*10-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 31  A*26-B*07-DRB1*10-DQB1*05  Mexico Guerrero state 0.3472144
 32  A*29-B*07-DRB1*10-DQB1*05  Mexico Guerrero state 0.3472144
 33  A*68-B*07-DRB1*10-DQB1*05  Mexico Guerrero state 0.3472144
 34  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.34374,204
 35  A*29-B*07-C*06-DRB1*10-DQB1*05  Albania pop 2 0.3400432
 36  A*29-B*07-C*15:05-DRB1*10:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 37  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*05:05-DQB1*05:01  Brazil Puyanawa 0.3333150
 38  A*03-B*07-DRB1*10-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 39  A*03-B*07-DRB1*10-DQB1*05  Mexico Mexico City Center 0.3247152
 40  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.32305,849
 41  A*29-B*07-DRB1*10-DQB1*05  Mexico Durango, Durango city 0.3226153
 42  A*23:01:01-B*07:20-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 43  A*24-B*07-DRB1*10-DQB1*05  Mexico Durango Rural 0.3058326
 44  A*29:01:01-B*07:02:01-C*15:05:01-DRB1*10:01:01-DQB1*05:02:04  India Karnataka Kannada Speaking 0.2870174
 45  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2760356
 46  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.27112,492
 47  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 48  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 49  A*29:01-B*07:05-C*15:04-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 50  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.24692,492
 51  A*68-B*07-DRB1*10-DQB1*05  Mexico Puebla Rural 0.2398833
 52  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23642,403
 53  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.231128,927
 54  A*02:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.2294218
 55  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.22882,403
 56  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.213770,890
 57  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.2101714
 58  A*29-B*07-DRB1*10-DQB1*05  Mexico Chihuahua Rural 0.2092236
 59  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.20895,849
 60  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.19604,856
 61  A*02-B*07-DRB1*10-DQB1*05  Mexico Zacatecas Rural 0.1859266
 62  A*30:01-B*07:02-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 63  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.18394,204
 64  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 65  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.16512,492
 66  A*33:03-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01-DPB1*17:01  Tanzania Maasai 0.1597336
 67  A*68:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 68  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.15635,829
 69  A*29-B*07-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 70  A*02:01-B*07:02-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 71  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1450356
 72  A*29-B*07-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 73  A*68-B*07-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 74  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 75  A*02:01:01-B*07:02:21-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 76  A*24:02:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 77  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 78  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.134511,446
 79  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.129728,927
 80  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.12722,403
 81  A*03-B*07-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 82  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.11824,204
 83  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India North UCBB 0.10615,849
 84  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10251,463
 85  A*01:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.09715,829
 86  A*02-B*07-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.0924539
 87  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 88  A*24-B*07-DRB1*10-DQB1*05  Mexico Jalisco, Guadalajara city 0.08381,189
 89  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.082211,446
 90  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.07674,204
 91  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.07615,829
 92  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.07562,492
 93  A*02:06-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 94  A*11:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 95  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 96  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 97  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*10:01  Sri Lanka Colombo 0.0700714
 98  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 99  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.06742,403
 100  A*26-B*07-DRB1*10-DQB1*05  Mexico Mexico City North 0.0664751

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 249) records   Pages: 1 2 3 of 3  


   

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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