Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 1 to 74 (from 74) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*37-DRB1*08-DQB1*04  Mexico Colima, Colima city 1.639361
 2  A*24:02-B*37:01-C*06:02-DRB1*08:01  Russia Bering Island Aleuts 1.4423104
 3  A*02-B*37-DRB1*08-DQB1*04  Mexico Colima Rural 1.136443
 4  A*02-B*37-DRB1*08-DQB1*04  Mexico Nayarit, Tepic 0.515597
 5  A*25-B*37-C*06-DRB1*08-DQB1*04  Sudan Khartoum 0.510098
 6  A*02-B*37-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 0.2907171
 7  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*08:06-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 8  A*02:01-B*37:01-C*06:02-DRB1*08:01  Germany DKMS - Austria minority 0.14701,698
 9  A*02-B*37-DRB1*08-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 10  A*24-B*37-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.1433348
 11  A*01-B*37-DRB1*08  Albania pop 2 0.1200432
 12  A*24:02-B*37:01-C*06:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.08601,159
 13  A*02-B*37-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 0.08381,189
 14  A*23-B*37-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 15  A*01:01-B*37:01-C*06:02-DRB1*08:03-DQB1*03:01  India Tamil Nadu 0.06092,492
 16  A*26:01-B*37:01-C*06:02-DRB1*08:01  Germany DKMS - Austria minority 0.05901,698
 17  A*24:02-B*37:01-C*06:02-DRB1*08:01  Germany DKMS - Spain minority 0.04501,107
 18  A*68:01-B*37:01-C*06:02-DRB1*08:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 19  A*03:02-B*37:01-DRB1*08:01  Israel USA Jews 0.04106,058
 20  A*01:01-B*37:01-C*06:02-DRB1*08:03  Germany DKMS - China minority 0.03901,282
 21  A*01:01-B*37:01-C*06:02-DRB1*08:01  Germany DKMS - Greece minority 0.03701,894
 22  A*29:02-B*37:01-C*06:02-DRB1*08:01  Germany DKMS - France minority 0.03601,406
 23  A*24:02-B*37:01-C*06:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*01:01-B*37:01-DRB1*08:01  Israel Druze 0.03385,914
 25  A*01:01-B*37:01-DRB1*08:04  Israel Druze 0.03385,914
 26  A*02-B*37-C*06-DRB1*08-DQA1*05-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 27  A*23-B*37-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.02511,994
 28  A*01-B*37-DRB1*08  Brazil Para State 0.02125,000
 29  A*33:03-B*37:01-C*06:02-DRB1*08:02-DQB1*04:02  India East UCBB 0.02082,403
 30  A*01-B*37-C*06-DRB1*08-DQB1*04-DPB1*03  Norway ethnic Norwegians 0.02004,510
 31  A*02-B*37-C*06-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.02004,510
 32  A*01-B*37-DRB1*08  Brazil South East Cord Blood 0.018011,409
 33  A*03:01-B*37:01-DRB1*08:04  Israel Arab pop 2 0.016312,301
 34  A*24:02-B*37:01-C*06:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01413,456,066
 35  A*02-B*37-DRB1*08  Brazil South East Cord Blood 0.013011,409
 36  A*74-B*37-DRB1*08  Brazil South East Cord Blood 0.012011,409
 37  A*01:01-B*37:01-DRB1*08:01  Israel Poland Jews 0.011713,871
 38  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.011523,595
 39  A*23:01-B*37:01-DRB1*08:01  Israel Ashkenazi Jews pop 3 0.01044,625
 40  A*24:02-B*37:01-C*06:02-DRB1*08:01  Poland DKMS 0.010420,653
 41  A*01:01-B*37:01-C*06:02-DRB1*08:03  Japan pop 16 0.010018,604
 42  A*23-B*37-C*06-DRB1*08-DQB1*04-DPB1*02  Norway ethnic Norwegians 0.01004,510
 43  A*02:01-B*37:01-C*06:02-DRB1*08:03-DQB1*03:01  India South UCBB 0.008711,446
 44  A*03:02-B*37:01-C*06:02-DRB1*08:03-DQB1*03:01  India West UCBB 0.00865,829
 45  A*01:01-B*37:01-DRB1*08:04  Israel Arab pop 2 0.008212,301
 46  A*01:03-B*37:01-DRB1*08:04  Israel Ethiopia Jews 0.00795,928
 47  A*24:02-B*37:01-C*06:02-DRB1*08:03  Poland DKMS 0.006920,653
 48  A*01:01-B*37:01-C*06:02-DRB1*08:01  Poland DKMS 0.006520,653
 49  A*01:01-B*37:01-DRB1*08:01  Israel USSR Jews 0.006145,681
 50  A*03:02-B*37:01-DRB1*08:01  Israel USSR Jews 0.005545,681
 51  A*01:01-B*37:01-C*06:02-DRB1*08:03-DQB1*03:01  India South UCBB 0.004611,446
 52  A*11:01-B*37:01-C*06:02-DRB1*08:02-DQB1*03:01  India South UCBB 0.004411,446
 53  A*11:01-B*37:01-C*06:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.004411,446
 54  A*30:01:01-B*37:01:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.004223,595
 55  A*03:01-B*37:01-DRB1*08:01  Israel USA Jews 0.00416,058
 56  A*23:01-B*37:01-DRB1*08:04  Israel Arab pop 2 0.004012,301
 57  A*80-B*37-DRB1*08  Brazil South East Cord Blood 0.004011,409
 58  A*11:01-B*37:01-DRB1*08:01  Israel Poland Jews 0.003613,871
 59  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.003123,595
 60  A*03:02-B*37:01-DRB1*08:01  Israel Poland Jews 0.003113,871
 61  A*25:01-B*37:01-C*06:02-DRB1*08:01  Poland DKMS 0.002520,653
 62  A*01:01-B*37:01-DRB1*08:01  Israel Morocco Jews 0.002536,718
 63  A*25:01:01-B*37:01:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002423,595
 64  A*02:01-B*37:01-C*02:02-DRB1*08:03  Poland DKMS 0.002420,653
 65  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 66  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*08:03:02-DQB1*03:01:01  Poland BMR 0.002123,595
 67  A*02:01:01-B*37:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 68  A*03:01-B*37:01-DRB1*08:01  Israel USSR Jews 0.002045,681
 69  A*31:08-B*37:01-DRB1*08:01  Israel USSR Jews 0.001545,681
 70  A*25:01-B*37:01-DRB1*08:01  Israel USSR Jews 0.001245,681
 71  A*02:01-B*37:01-DRB1*08:01  Israel USSR Jews 0.001145,681
 72  A*32:01-B*37:01-DRB1*08:01  Israel USSR Jews 0.001145,681
 73  A*24:02-B*37:01-DRB1*08:01  Israel USSR Jews 0.000998045,681
 74  A*31:01-B*37:01-DRB1*08:01  Israel USSR Jews 0.000903045,681

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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