Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 1,716) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:01-B*07:05-DRB1*14:01  Israel Bukhara Jews 5.33002,317
 2  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 4.815343,540
 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  A*29:01-B*35-C*04  Pakistan Karachi Parsi 4.300091
 6  A*29:01-B*35-DRB1*11  Pakistan Karachi Parsi 3.800091
 7  A*29:01-B*07:05-DRB1*10:01  Israel Kavkazi Jews 3.16002,840
 8  A*29:01-B*07:05-DRB1*14:01  Israel Kavkazi Jews 3.14002,840
 9  A*29:01-B*08:01-DRB1*03:01-DQB1*02:01  Chile Mapuche 3.080066
 10  A*29:01-B*07:05  Taiwan Hakka 2.700055
 11  A*29:01-C*15:05  Taiwan Hakka 2.700055
 12  A*29:01-B*07:05-DRB1*10:01  Israel Iraq Jews 2.410013,270
 13  A*29:01-B*07:05-DRB1*10:01  Israel Bukhara Jews 2.39002,317
 14  A*29:01-B*15:03-C*02:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 2.0000150
 15  A*29:01-B*44:03:01  Tunisia 2.0000100
 16  A*29:01-B*07:05-DRB1*14:04  Israel Bukhara Jews 1.59002,317
 17  A*29:01:01-B*07:02:01  Mexico Guadalajara Mestizo pop 2 1.5000103
 18  A*29:01:01-B*44:03:02  Mexico Guadalajara Mestizo pop 2 1.5000103
 19  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 1.4850101
 20  A*29:01-B*51:01-DRB1*16:01  Azores Oriental Islands 1.300043
 21  A*29:01-B*07:05  USA Asian pop 2 1.16001,772
 22  A*29:01-B*15:03-DRB1*04:04  Israel Ethiopia Jews 1.16005,928
 23  A*29:01-B*07:02-DRB1*11:04  Israel Druze 1.15005,914
 24  A*29:01-B*07:02-DRB1*14:04  Israel Druze 1.14005,914
 25  A*29:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 26  A*29:01-B*07:05  Hong Kong Chinese 1.1000569
 27  A*29:01-B*58:01-DRB1*08:01-DQB1*04:01  Iran Tabriz Azeris 1.030997
 28  A*29:01:01:01-B*35:02-DRB1*04:07:01  Portugal Center 1.000050
 29  A*29:01-B*07:05  Singapore Chinese 1.0000149
 30  A*29:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 31  A*29:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 32  A*29:01-B*51:06-DRB1*11:01-DQB1*02:01  Iran Yazd 0.892956
 33  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
 34  A*29:01-B*44:02-DRB1*07:01  Israel Druze 0.85305,914
 35  A*29:01-B*14:02-DRB1*07:01  Israel USA Jews 0.80306,058
 36  A*29:01-B*07:05-DRB1*10:01  Israel Iran Jews 0.80208,153
 37  A*29:01-B*14:02-DRB1*07:01  Israel Argentina Jews 0.79504,307
 38  A*29:01-G*01:01  Ecuador Amerindians 0.793763
 39  A*29:01-B*08:01-C*04:01-DRB1*04:01-DQB1*06:02  Iran Gorgan 0.780064
 40  A*29:01-B*13:01-C*06:02-DRB1*11:01-DQB1*03:01  Iran Gorgan 0.780064
 41  A*29:01-B*13:01-C*06:02-DRB1*14:05-DQB1*03:01  Iran Gorgan 0.780064
 42  A*29:01-B*14:02-DRB1*07:01  Israel Ashkenazi Jews pop 3 0.78004,625
 43  A*29:01-B*15:02-C*15:02-DRB1*15:01-DQB1*05:01  Iran Gorgan 0.780064
 44  A*29:01-B*15:10-C*08:01-DRB1*13:01-DQB1*03:02  Iran Gorgan 0.780064
 45  A*29:01-B*39:01-C*12:03-DRB1*07:01-DQB1*02:01  Iran Gorgan 0.780064
 46  A*29:01-B*51:06-C*06:02-DRB1*04:01-DQB1*03:02  Iran Gorgan 0.780064
 47  A*29:01-B*54:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 0.780064
 48  A*29:01-B*07:02-DRB1*10:01  Israel Georgia Jews 0.77204,471
 49  A*29:01-B*07:05-DRB1*11:04  Israel Bukhara Jews 0.77002,317
 50  A*29:01-B*39:09-DRB1*15:17N-DQB1*03:01  Chile Mapuche 0.770066
 51  A*29:01-B*44:03-DRB1*04:07-DQB1*03:02  Chile Mapuche 0.770066
 52  A*29:01-B*49:01-DRB1*13:03  Israel Kavkazi Jews 0.76502,840
 53  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
 54  A*29:01-B*07:05-DRB1*16:01  Israel Iraq Jews 0.697013,270
 55  A*29:01:01-B*44:08-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 56  A*29:01:01-B*78:01:01-C*16:01:01-DRB1*07:01:01-DQB1*03:03:03  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 57  A*29:01-B*07:05-C*15:05-DRB1*10:01  Hong Kong Chinese BMDR 0.68357,595
 58  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.66701,772
 59  A*29:01-B*07:05-DRB1*10:01  Hong Kong Chinese cord blood registry 0.66683,892
 60  A*29:01-B*81:01-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*03:19  Brazil Puyanawa 0.6667150
 61  A*29:01-B*44:03-DRB1*07:01  Israel USA Jews 0.65306,058
 62  A*29:01-B*14:02-DRB1*07:01  Israel Poland Jews 0.617013,871
 63  A*29:01-B*08:01-C*02:02-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  South Africa Worcester 0.6000159
 64  A*29:01-B*07:02-DRB1*15:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 65  A*29:01-B*44:02-DRB1*01:01-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 66  A*29:01-B*44:02-DRB1*07:08-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 67  A*29:01-B*07:05-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.57104,625
 68  A*29:01-B*08:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 69  A*29:01-B*38:01-DRB1*14:01-DQB1*05:03  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 70  A*29:01-B*44:02-DRB1*12:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 71  A*29:01-B*44:02-DRB1*15:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 72  A*29:01-B*45:01-DRB1*09:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 73  A*29:01-B*58:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 74  A*29:01-B*41:01-DRB1*04:05  Israel Iraq Jews 0.548013,270
 75  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
 76  A*29:01-B*07:02-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 77  A*29:01-B*15:10-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 78  A*29:01-B*35:01-DRB1*11:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 79  A*29:01-B*51:01-DRB1*10:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 80  A*29:01-B*51:06-DRB1*13:02-DQB1*03:05  Iran Tabriz Azeris 0.515597
 81  A*29:01-B*07:05-DRB1*04:03  Israel Iraq Jews 0.513013,270
 82  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
 83  A*29:01-B*44:03-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*55:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 84  A*29:01-B*49:01-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 85  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*11:01:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 86  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*13:12:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 87  A*29:01:01-B*55:02:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 88  A*29:01-B*07:05-DRB1*10:01  Israel YemenJews 0.495015,542
 89  A*29:01:01-B*51:08-C*04:01:01-DRB1*13:03:01  Costa Rica African -Caribbean (G) 0.4902102
 90  A*29:01-B*15:01-C*03:03-DRB1*13:01  Russia Bering Island Aleuts 0.4808104
 91  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.477927,978
 92  A*29:01-B*14:02-DRB1*07:01  Israel USSR Jews 0.466045,681
 93  A*29:01-B*44:03-DRB1*07:01  Israel Argentina Jews 0.45404,307
 94  A*29:01-B*07:02-DRB1*10:01  Israel USSR Jews 0.448045,681
 95  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
 96  A*29:01-B*73:01-DRB1*11:04  Israel Kavkazi Jews 0.42202,840
 97  A*29:01-B*50:01-DRB1*07:01  Israel Druze 0.41805,914
 98  A*29:01:01:01-B*49:01:01-C*07:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 99  A*29:01-B*07:02-DRB1*10:01  Israel Druze 0.41005,914
 100  A*29:01-B*51:01-DRB1*07:01  Israel Bukhara Jews 0.41002,317

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 1,716) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 18  


   

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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