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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 9,701 to 9,800 (from 16,243) records   Pages: 91 92 93 94 95 96 97 98 99 100 of 163  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 9,701  A*11:01-B*50:01-C*06:02-DRB1*01:02-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 9,702  A*11:01-B*50:01-C*06:02-DRB1*03:01  Italy pop 5 0.1000975
 9,703  A*11:01-B*50:01-C*06:02-DRB1*03:01  Poland DKMS 0.011020,653
 9,704  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01504,856
 9,705  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.05122,492
 9,706  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00205,829
 9,707  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03705,849
 9,708  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 9,709  A*11:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 9,710  A*11:01-B*50:01-C*06:02-DRB1*04:02-DQB1*03:02  India West UCBB 0.00865,829
 9,711  A*11:01-B*50:01-C*06:02-DRB1*04:03  Poland DKMS 0.002120,653
 9,712  A*11:01-B*50:01-C*06:02-DRB1*04:03-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 9,713  A*11:01-B*50:01-C*06:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.00925,849
 9,714  A*11:01-B*50:01-C*06:02-DRB1*04:05-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 9,715  A*11:01-B*50:01-C*06:02-DRB1*04:06-DQB1*04:02  India South UCBB 0.013411,446
 9,716  A*11:01-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 9,717  A*11:01-B*50:01-C*06:02-DRB1*07:01  Hong Kong Chinese BMDR 0.01967,595
 9,718  A*11:01-B*50:01-C*06:02-DRB1*07:01  Poland DKMS 0.018620,653
 9,719  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 9,720  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.05182,492
 9,721  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.15001,772
 9,722  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 9,723  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.05895,829
 9,724  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.041711,446
 9,725  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.04764,204
 9,726  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.03135,849
 9,727  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 9,728  A*11:01-B*50:01-C*06:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00335,849
 9,729  A*11:01-B*50:01-C*06:02-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 9,730  A*11:01-B*50:01-C*06:02-DRB1*11:01  Poland DKMS 0.002120,653
 9,731  A*11:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01615,829
 9,732  A*11:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 9,733  A*11:01-B*50:01-C*06:02-DRB1*11:04  Germany DKMS - Greece minority 0.02601,894
 9,734  A*11:01-B*50:01-C*06:02-DRB1*13:01  Germany DKMS - France minority 0.07101,406
 9,735  A*11:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 9,736  A*11:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00765,849
 9,737  A*11:01-B*50:01-C*06:02-DRB1*13:03  Germany DKMS - Greece minority 0.05301,894
 9,738  A*11:01-B*50:01-C*06:02-DRB1*13:03  Poland DKMS 0.002420,653
 9,739  A*11:01-B*50:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.009911,446
 9,740  A*11:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.01101,772
 9,741  A*11:01-B*50:01-C*06:02-DRB1*16:01  Italy pop 5 0.1000975
 9,742  A*11:01-B*50:01-C*06:02-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 9,743  A*11:01-B*50:01-C*15:02-DRB1*10:01-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 9,744  A*11:01-B*50:01-DRB1*01:01  Israel USSR Jews 0.001145,681
 9,745  A*11:01-B*50:01-DRB1*01:02  Israel Poland Jews 0.003313,871
 9,746  A*11:01-B*50:01-DRB1*01:02  Israel USA Jews 0.00776,058
 9,747  A*11:01-B*50:01-DRB1*01:02  Israel USSR Jews 0.000761045,681
 9,748  A*11:01-B*50:01-DRB1*01:02  Israel Argentina Jews 0.01184,307
 9,749  A*11:01-B*50:01-DRB1*03:01  Israel Argentina Jews 0.03394,307
 9,750  A*11:01-B*50:01-DRB1*03:01  Israel Arab pop 2 0.011912,301
 9,751  A*11:01-B*50:01-DRB1*03:01  Israel Ashkenazi Jews pop 3 0.03204,625
 9,752  A*11:01-B*50:01-DRB1*03:01  Israel Morocco Jews 0.002036,718
 9,753  A*11:01-B*50:01-DRB1*03:01  Israel Tunisia Jews 0.00489,070
 9,754  A*11:01-B*50:01-DRB1*03:01  Israel Poland Jews 0.027513,871
 9,755  A*11:01-B*50:01-DRB1*03:01  Israel Iraq Jews 0.003813,270
 9,756  A*11:01-B*50:01-DRB1*03:01  Israel Iran Jews 0.10908,153
 9,757  A*11:01-B*50:01-DRB1*03:01  Israel USA Jews 0.02916,058
 9,758  A*11:01-B*50:01-DRB1*03:01  Israel USSR Jews 0.015045,681
 9,759  A*11:01-B*50:01-DRB1*04:02  Israel Tunisia Jews 0.02039,070
 9,760  A*11:01-B*50:01-DRB1*04:03  Israel Tunisia Jews 0.01809,070
 9,761  A*11:01-B*50:01-DRB1*04:04  Israel Tunisia Jews 0.01809,070
 9,762  A*11:01-B*50:01-DRB1*04:04  Israel USSR Jews 0.000965045,681
 9,763  A*11:01-B*50:01-DRB1*04:05  Israel Morocco Jews 0.003036,718
 9,764  A*11:01-B*50:01-DRB1*04:05  Israel Tunisia Jews 0.01809,070
 9,765  A*11:01-B*50:01-DRB1*04:06  Israel Morocco Jews 0.000923036,718
 9,766  A*11:01-B*50:01-DRB1*04:06  Israel Tunisia Jews 0.02359,070
 9,767  A*11:01-B*50:01-DRB1*04:06  Israel YemenJews 0.005815,542
 9,768  A*11:01-B*50:01-DRB1*04:06  Israel Arab pop 2 0.004712,301
 9,769  A*11:01-B*50:01-DRB1*07:01  Hong Kong Chinese cord blood registry 0.05013,892
 9,770  A*11:01-B*50:01-DRB1*07:01  Israel USSR Jews 0.010945,681
 9,771  A*11:01-B*50:01-DRB1*07:01  Israel Morocco Jews 0.003036,718
 9,772  A*11:01-B*50:01-DRB1*07:01  Israel Tunisia Jews 0.22809,070
 9,773  A*11:01-B*50:01-DRB1*07:01  Israel Iran Jews 0.01978,153
 9,774  A*11:01-B*50:01-DRB1*07:01  Israel Kavkazi Jews 0.09112,840
 9,775  A*11:01-B*50:01-DRB1*07:01  Israel Libya Jews 0.01503,739
 9,776  A*11:01-B*50:01-DRB1*07:01  Israel Poland Jews 0.013313,871
 9,777  A*11:01-B*50:01-DRB1*07:01  Israel Arab pop 2 0.020112,301
 9,778  A*11:01-B*50:01-DRB1*07:01  Israel Druze 0.05965,914
 9,779  A*11:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 9,780  A*11:01-B*50:01-DRB1*07:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 1.666760
 9,781  A*11:01-B*50:01-DRB1*08:04  Israel Arab pop 2 0.004112,301
 9,782  A*11:01-B*50:01-DRB1*10:01  Israel USSR Jews 0.001145,681
 9,783  A*11:01-B*50:01-DRB1*11:01  Israel USSR Jews 0.001045,681
 9,784  A*11:01-B*50:01-DRB1*11:01  Israel Morocco Jews 0.001436,718
 9,785  A*11:01-B*50:01-DRB1*11:04  Israel Libya Jews 0.01203,739
 9,786  A*11:01-B*50:01-DRB1*11:04  Israel Arab pop 2 0.024312,301
 9,787  A*11:01-B*50:01-DRB1*11:04  Israel Druze 0.12505,914
 9,788  A*11:01-B*50:01-DRB1*11:04  Israel USA Jews 0.01696,058
 9,789  A*11:01-B*50:01-DRB1*13:02  Israel USSR Jews 0.001945,681
 9,790  A*11:01-B*50:01-DRB1*13:03  Israel Tunisia Jews 0.00519,070
 9,791  A*11:01-B*50:01-DRB1*14:01  Israel Poland Jews 0.002913,871
 9,792  A*11:01-B*50:01-DRB1*15:02  Israel Arab pop 2 0.022312,301
 9,793  A*11:01-B*50:02-DRB1*04:06  Israel YemenJews 0.003215,542
 9,794  A*11:01-B*50:02-DRB1*04:06  Israel Tunisia Jews 0.02769,070
 9,795  A*11:01-B*50:02-DRB1*04:06  Israel Iraq Jews 0.007513,270
 9,796  A*11:01-B*50:02-DRB1*04:06  Israel Morocco Jews 0.001536,718
 9,797  A*11:01-B*50:02-DRB1*04:06  Israel Libya Jews 2.80003,739
 9,798  A*11:01-B*50:02-DRB1*07:01  Israel Libya Jews 0.20603,739
 9,799  A*11:01-B*50:02-DRB1*11:04  Israel Libya Jews 0.03893,739
 9,800  A*11:01-B*50:02-DRB1*13:02  Israel Libya Jews 0.02843,739

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 9,701 to 9,800 (from 16,243) records   Pages: 91 92 93 94 95 96 97 98 99 100 of 163  


   

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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