Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 70 (from 70) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*48:01-DRB1*04:03  Taiwan Tsou 2.900051
 2  A*24:02-B*48:01-DRB1*04:03  New Zealand Polynesians with Full Ancestry 2.381021
 3  A*24:02-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 2.2300105
 4  A*24:02-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 2.2000105
 5  A*24:02-B*48:01-DRB1*04:03  New Zealand Polynesians with Admixed History 1.852027
 6  A*02:01-B*48:01-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.5400105
 7  A*31:01-B*48:01-C*15:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 8  A*24:02-B*48:01-C*08:03-DRB1*04:03  Russia Bering Island Aleuts 0.9615104
 9  A*24:25-B*48:01-DRB1*04:03  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 10  A*68:01:02-B*48:01:01-C*08:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 11  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQB1*03:02  USA NMDP Hawaiian or other Pacific Islander 0.189011,499
 12  A*02:01-B*48:01-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.18804,625
 13  A*02:01-B*48:01-DRB1*04:03  Israel USSR Jews 0.186045,681
 14  A*02:01-B*48:01-DRB1*04:03  Israel Argentina Jews 0.18504,307
 15  A*02:01-B*48:01-DRB1*04:03  Israel Poland Jews 0.175013,871
 16  A*02:06-B*48:01-C*08:22-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.1689296
 17  A*02:02-B*48:01-DRB1*04:03-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 18  A*26:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 19  A*02:06-B*48:01-DRB1*04:03  Israel Poland Jews 0.082913,871
 20  A*02:06-B*48:01-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.06494,625
 21  A*02:06-B*48:01-DRB1*04:03  Israel USSR Jews 0.041945,681
 22  A*02:06-B*48:01-DRB1*04:03  Israel Argentina Jews 0.04164,307
 23  A*02:06-B*48:01-DRB1*04:03  Israel USA Jews 0.04116,058
 24  A*02:06-B*48:01-C*12:03-DRB1*04:03-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 25  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 26  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 27  A*31:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 28  A*24:02-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.026018,604
 29  A*26:01-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.026018,604
 30  A*02:01-B*48:01-DRB1*04:03  Israel USA Jews 0.02316,058
 31  A*11:01-B*48:01-C*08:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.01725,829
 32  A*02:06-B*48:01-C*08:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.01715,849
 33  A*01:01-B*48:01-DRB1*04:03  Israel USA Jews 0.01666,058
 34  A*68:01-B*48:01-C*08:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.01315,849
 35  A*01:01-B*48:01-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.01294,625
 36  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQB1*03:02  India North UCBB 0.01255,849
 37  A*02:16-B*48:01-DRB1*04:03  Israel Argentina Jews 0.01234,307
 38  A*02:06-B*48:01-C*08:03-DRB1*04:03  Poland DKMS 0.012020,653
 39  A*11:01-B*48:01-C*08:01-DRB1*04:03-DQB1*04:02  India Central UCBB 0.01194,204
 40  A*02:06-B*48:01-DRB1*04:03  Israel Tunisia Jews 0.01109,070
 41  A*11:01-B*48:01-C*08:01-DRB1*04:03  Hong Kong Chinese BMDR 0.01057,595
 42  A*02:01-B*48:01-DRB1*04:03  Israel Georgia Jews 0.01044,471
 43  A*11:01-B*48:01-DRB1*04:03  Israel USA Jews 0.01046,058
 44  A*01:01-B*48:01-DRB1*04:03  Israel USSR Jews 0.010145,681
 45  A*02:01-B*48:01-C*08:01-DRB1*04:03  Hong Kong Chinese BMDR 0.01017,595
 46  A*11:01-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.010018,604
 47  A*26:02-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.010018,604
 48  A*31:08-B*48:01-DRB1*04:03  Israel USA Jews 0.00966,058
 49  A*24:02:01-B*48:01:01-C*08:22-DRB1*04:03:01-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 50  A*31:08-B*48:01-DRB1*04:03  Israel USSR Jews 0.008645,681
 51  A*24:02:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00815,266
 52  A*29:01-B*48:01-DRB1*04:03  Israel Poland Jews 0.007313,871
 53  A*32:01-B*48:01-DRB1*04:03  Israel USA Jews 0.00736,058
 54  A*02:05-B*48:01-DRB1*04:03  Israel Poland Jews 0.007213,871
 55  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.006423,595
 56  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00595,266
 57  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 58  A*24:07-B*48:01-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.00544,625
 59  A*24:26-B*48:01-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.00544,625
 60  A*11:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00505,266
 61  A*24:02-B*48:01-C*03:03-DRB1*04:03  Japan pop 16 0.005018,604
 62  A*24:02-B*48:01-C*08:03-DRB1*04:03  Japan pop 16 0.005018,604
 63  A*02:06:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*03:04:01  Poland BMR 0.004223,595
 64  A*02:02-B*48:01-DRB1*04:03  Israel Tunisia Jews 0.00339,070
 65  A*24:02-B*48:01-C*08:03-DRB1*04:03  Poland DKMS 0.002220,653
 66  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*04:03:01-DQB1*02:02:01  Poland BMR 0.002123,595
 67  A*01:17-B*48:01-DRB1*04:03  Israel Poland Jews 0.001813,871
 68  A*01:36-B*48:01-DRB1*04:03  Israel Poland Jews 0.001813,871
 69  A*02:06-B*48:01-DRB1*04:03  Israel Morocco Jews 0.001436,718
 70  A*30:01-B*48:01-C*08:03-DRB1*04:03  Poland DKMS 0.000200020,653

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).




   

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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