Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 532) records   Pages: 1 2 3 4 5 6 of 6  

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*03:01-B*07:02-DRB1*10:01  Malaysia Kedah Kensiu 4.760021
 3  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  Vietnam Hanoi Kinh pop 2 4.7000170
 4  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 4.4550101
 5  B*07-DRB1*10  Georgia Kurds 3.600030
 6  A*29:01-B*07:05-DRB1*10:01  Israel Kavkazi Jews 3.16002,840
 7  B*07:05-DRB1*10:01  Taiwan Hakka 2.700055
 8  A*29:01-B*07:05-DRB1*10:01  Israel Iraq Jews 2.410013,270
 9  A*29:01-B*07:05-DRB1*10:01  Israel Bukhara Jews 2.39002,317
 10  A*24:07-B*07:02-DRB1*10:01  Malaysia Patani 2.000025
 11  A*03:02-B*07:05-DRB1*10:01  Malaysia Mandailing 1.851927
 12  A*03:01-B*07:02-DRB1*10:01  Azores Oriental Islands 1.300043
 13  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 14  A*29-B*07-DRB1*10  India sub-Himalayan West Bengal Kami 0.9400158
 15  B*07-DRB1*10  Macedonia 0.8741286
 16  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
 17  A*29:01-B*07:05-DRB1*10:01  Israel Iran Jews 0.80208,153
 18  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India West UCBB 0.78545,829
 19  A*29:01-B*07:02-DRB1*10:01  Israel Georgia Jews 0.77204,471
 20  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
 21  A*29:01-B*07:05-C*15:05-DRB1*10:01  Hong Kong Chinese BMDR 0.68357,595
 22  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.66701,772
 23  A*29:01-B*07:05-DRB1*10:01  Hong Kong Chinese cord blood registry 0.66683,892
 24  A*24-B*07-DRB1*10-DQB1*05  Mexico Michoacan, Morelia 0.6623150
 25  A*03-B*07-DRB1*10-DQB1*05  Mexico Hidalgo Rural 0.617381
 26  A*23-B*07-DRB1*10-DQB1*05  Mexico Jalisco, Zapopan 0.5952168
 27  A*29:01-B*07:05-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.57104,625
 28  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
 29  A*02-B*07-DRB1*10  Macedonia 0.5245286
 30  A*03:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 31  A*29:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 32  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
 33  A*02-B*07-C*06-DRB1*10-DQB1*05  Sudan Khartoum 0.510098
 34  A*02-B*07-C*06-DRB1*10-DQB1*06  Sudan Khartoum 0.510098
 35  A*29-B*07-DRB1*10:01  USA NMDP Asian and Pacific Islander 0.5000359,423
 36  A*29:01-B*07:05-DRB1*10:01  Israel YemenJews 0.495015,542
 37  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India South UCBB 0.488211,446
 38  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.477927,978
 39  A*29-B*07-DRB1*10-DQB1*05  Mexico Coahuila Rural 0.4587216
 40  A*29:01-B*07:02-DRB1*10:01  Israel USSR Jews 0.448045,681
 41  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 42  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
 43  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
 44  A*29-B*07-DRB1*10-DQB1*05  Mexico Chihuahua Chihuahua City 0.4202119
 45  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
 46  A*29:01-B*07:02-DRB1*10:01  Israel Druze 0.41005,914
 47  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 48  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.402799,672
 49  A*29-B*07-C*15-DRB1*10  Iran pop 4 0.4000855
 50  A*01-B*07-C*06-DRB1*10  Macedonia MBMDR - Albanian 0.3906128
 51  A*03-B*07-DRB1*10-DQB1*05  Mexico Yucatan Rural 0.3731132
 52  A*02:16-B*07:05-C*07:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.3690271
 53  A*29:01-B*07:02-DRB1*10:01  Israel USA Jews 0.36506,058
 54  A*29:01-B*07:02-DRB1*10:01  Israel Argentina Jews 0.36004,307
 55  A*29-B*07-DRB1*10-DQB1*05  Mexico Tabasco Rural 0.3521142
 56  A*01-B*07-DRB1*10-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 57  A*02-B*07-C*15-DRB1*10  Macedonia 0.3497286
 58  A*29-B*07-C*15-DRB1*10  Macedonia 0.3497286
 59  A*29-B*07-DRB1*10  Macedonia 0.3497286
 60  A*26-B*07-DRB1*10-DQB1*05  Mexico Guerrero state 0.3472144
 61  A*29-B*07-DRB1*10-DQB1*05  Mexico Guerrero state 0.3472144
 62  A*68-B*07-DRB1*10-DQB1*05  Mexico Guerrero state 0.3472144
 63  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Central UCBB 0.34374,204
 64  A*29-B*07-C*06-DRB1*10-DQB1*05  Albania pop 2 0.3400432
 65  A*29-B*07-C*15:05-DRB1*10:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 66  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*05:05-DQB1*05:01  Brazil Puyanawa 0.3333150
 67  A*03-B*07-DRB1*10-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 68  A*29:01-B*07:02-DRB1*10:01  Israel Poland Jews 0.327013,871
 69  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 70  A*03-B*07-DRB1*10-DQB1*05  Mexico Mexico City Center 0.3247152
 71  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India North UCBB 0.32305,849
 72  A*29-B*07-DRB1*10-DQB1*05  Mexico Durango, Durango city 0.3226153
 73  A*29:01-B*07:05-DRB1*10:01  Israel Arab pop 2 0.313012,301
 74  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
 75  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.31035,266
 76  A*24-B*07-DRB1*10-DQB1*05  Mexico Durango Rural 0.3058326
 77  A*03:01-B*07:02-C*07:02-DRB1*10:01  Italy pop 5 0.3000975
 78  A*29-B*07-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 79  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
 80  A*29:02-B*07:05-DRB1*10:01  Israel Tunisia Jews 0.28409,070
 81  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
 82  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.27112,492
 83  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
 84  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
 85  A*29:01-B*07:05-DRB1*10:01  Israel Georgia Jews 0.26804,471
 86  A*29:01-B*07:05-C*15:04-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 87  A*29:01-B*07:05-DRB1*10:01  Israel Poland Jews 0.261013,871
 88  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.24692,492
 89  A*68-B*07-DRB1*10-DQB1*05  Mexico Puebla Rural 0.2398833
 90  A*03:01-B*07:02-C*07:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.23642,403
 91  A*02-B*07-DRB1*10  Brazil Para Cord Blood Unit 0.2362841
 92  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
 93  A*29-B*07-DRB1*10  Albania pop 2 0.2300432
 94  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
 95  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India East UCBB 0.22882,403
 96  A*02-B*07-DRB1*10  Italy Lombardy 0.2200674
 97  A*03-B*07-DRB1*10  Russia Moscow Pop 2 0.22002,000
 98  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
 99  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
 100  A*29-B*07-DRB1*10  Iran pop 4 0.2101855

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 532) records   Pages: 1 2 3 4 5 6 of 6  


   

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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