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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 90 (from 90) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002323,595
 2  A*01:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 3  A*01:01-B*39:01-C*12:04-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00075302,492
 4  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 5  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.11531,734
 6  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002023,595
 7  A*02:01-B*39:01-C*07:02-DRB1*04:04  Germany DKMS - China minority 0.03901,282
 8  A*02:01-B*39:01-C*07:02-DRB1*04:04  Hong Kong Chinese BMDR 0.03267,595
 9  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.16191,075
 10  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.13411,075
 11  A*02:01-B*39:01-C*12:03-DRB1*04:04  Germany DKMS - Greece minority 0.03201,894
 12  A*02:01-B*39:01-C*12:03-DRB1*04:04  Germany DKMS - Austria minority 0.02901,698
 13  A*02:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 14  A*02:01-B*39:01-DRB1*04:04  Hong Kong Chinese cord blood registry 0.01283,892
 15  A*02:01-B*39:01-DRB1*04:04  Israel USSR Jews 0.018345,681
 16  A*02:01-B*39:01-DRB1*04:04  Israel Argentina Jews 0.08484,307
 17  A*02:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 18  A*02:01-B*39:01-DRB1*04:04-DQB1*03:02  USA South Dakota Lakota Sioux 5.1000302
 19  A*02:06-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 20  A*02:06-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.001111,446
 21  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06851,510
 22  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 23  A*03:01-B*39:01-C*07:02-DRB1*04:04  Germany DKMS - France minority 0.03601,406
 24  A*03:01-B*39:01-C*07:02-DRB1*04:04  Poland DKMS 0.002520,653
 25  A*03:01-B*39:01-C*12:03-DRB1*04:04  Germany DKMS - Croatia minority 0.04902,057
 26  A*03:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 27  A*03:01-B*39:01-DRB1*04:04  Israel USSR Jews 0.002645,681
 28  A*03:02-B*39:01-DRB1*04:04  Israel USSR Jews 0.008745,681
 29  A*03:02-B*39:01-DRB1*04:04  Israel Argentina Jews 0.01754,307
 30  A*11:01:01-B*39:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 31  A*11:01-B*39:01-C*07:02-DRB1*04:04  Germany DKMS - France minority 0.03601,406
 32  A*11:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.02201,772
 33  A*11:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 34  A*11:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.019311,446
 35  A*11:01-B*39:01-DRB1*04:04  Israel USSR Jews 0.003445,681
 36  A*24:02:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.52751,510
 37  A*24:02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*24:02:01-B*39:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 39  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 40  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 41  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*06:03:01  Poland BMR 0.002123,595
 42  A*24:02-B*39:01-C*07:02-DRB1*04:04  Poland DKMS 0.014420,653
 43  A*24:02-B*39:01-C*07:02-DRB1*04:04  Russia Bering Island Aleuts 3.8462104
 44  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 1.27031,075
 45  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*03:01  Russia Karelia 0.10431,075
 46  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.36131,075
 47  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.12171,075
 48  A*24:02-B*39:01-C*12:03-DRB1*04:04  Germany DKMS - Croatia minority 0.02902,057
 49  A*24:02-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.017911,446
 50  A*24:02-B*39:01-DRB1*04:04  Israel USSR Jews 0.021245,681
 51  A*24:02-B*39:01-DRB1*04:04  Israel Arab pop 2 0.004112,301
 52  A*24:02-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 53  A*24:04-B*39:01-DRB1*04:04  Israel USSR Jews 0.002545,681
 54  A*24:07-B*39:01-DRB1*04:04  Israel USSR Jews 0.000547045,681
 55  A*24:26-B*39:01-DRB1*04:04  Israel USSR Jews 0.000547045,681
 56  A*26:01-B*39:01-C*07:02-DRB1*04:04  Germany DKMS - Netherlands minority 0.03601,374
 57  A*26:01-B*39:01-C*12:03-DRB1*04:04  Poland DKMS 0.002820,653
 58  A*26:01-B*39:01-C*12:03-DRB1*04:04-DQB1*05:02  Italy pop 5 0.1400975
 59  A*26:01-B*39:01-DRB1*04:04  Israel Argentina Jews 0.02464,307
 60  A*30:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 61  A*30:01-B*39:01-C*12:03-DRB1*04:04  Poland DKMS 0.002320,653
 62  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 63  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*02:01:01  Poland BMR 0.002123,595
 64  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 65  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.007223,595
 66  A*31:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.06022,492
 67  A*31:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.059411,446
 68  A*31:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 69  A*31:01-B*39:01-DRB1*04:04  Israel Argentina Jews 0.02314,307
 70  A*31:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 71  A*31:08-B*39:01-DRB1*04:04  Israel Argentina Jews 0.01304,307
 72  A*31:08-B*39:01-DRB1*04:04  Israel USSR Jews 0.081145,681
 73  A*32:01-B*39:01-C*12:03-DRB1*04:04  Germany DKMS - Austria minority 0.02901,698
 74  A*32:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.003511,446
 75  A*33:03-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 76  A*36-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 77  A*68:01-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 78  A*68:01-B*39:01-C*03:04-DRB1*04:04-DQB1*04:03  Colombia North Chimila Amerindians 1.063847
 79  A*68:01-B*39:01-C*07:02-DRB1*04:04  Germany DKMS - Romania minority 0.08101,234
 80  A*68:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 81  A*68:01-B*39:01-C*12:03-DRB1*04:04  Germany DKMS - Croatia minority 0.02402,057
 82  A*68:01-B*39:01-C*12:03-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 83  A*68:01-B*39:01-DRB1*04:04  Israel USSR Jews 0.002245,681
 84  A*68:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 85  A*68:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 86  A*68:02-B*39:01-DRB1*04:04  Israel USSR Jews 0.006145,681
 87  A*68:16-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 88  B*39:01-DRB1*04:04  Italy pop 5 0.0500975
 89  B*39:01-DRB1*04:04  Taiwan Ami 5.200098
 90  B*39:01-DRB1*04:04  Taiwan Puyuma 1.000050

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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