Line |
Allele |
Population |
% of individuals that have the allele/gene |
Allele Frequency (3 decimals) |
Sample Size |
IPD-KIR Database¹ |
Distribution² |
Notes³ |
5,701 | 3DL3*056 |  | Ghana Ga-Adangbe KIR | | | 0.003 |  | 131 | See |  | |
5,702 | 3DP1 |  | Argentina Buenos Aires KIR |  | 100.0 | | | 365 | See |  | |
5,703 | 3DP1 |  | Argentina Chaco Region Wichi KIR |  | 100.0 | | | 82 | See |  | |
5,704 | 3DP1 |  | Argentina Chiriguano KIR |  | 100.0 | | | 54 | See |  | |
5,705 | 3DP1 |  | Argentina KIR |  | 100.0 | | | 102 | See |  | |
5,706 | 3DP1 |  | Argentina Salta Wichi KIR |  | 100.0 | | | 19 | See |  | |
5,707 | 3DP1 |  | Australia Queensland Brisbane KIR |  | 100.0 | | | 106 | See |  | |
5,708 | 3DP1 |  | Belgium KIR pop 2 |  | 100.0 | | | 100 | See |  | |
5,709 | 3DP1 |  | Borneo Kalimantan KIR |  | 100.0 | | | 48 | See |  | |
5,710 | 3DP1 |  | Brazil Bahia Ilhéus KIR |  | 100.0 | 1.000 |  | 102 | See |  | |
5,711 | 3DP1 |  | Brazil Belo Horizonte Caucasian KIR |  | 100.0 | | | 90 | See |  | |
5,712 | 3DP1 |  | Brazil Guarani Kaiowá KIR |  | 100.0 | | | 96 | See |  | |
5,713 | 3DP1 |  | Brazil Guarani MByá KIR |  | 100.0 | | | 81 | See |  | |
5,714 | 3DP1 |  | Brazil Guarani Ñandeva KIR |  | 100.0 | | | 50 | See |  | |
5,715 | 3DP1 |  | Brazil Kaingang KIR |  | 100.0 | | | 100 | See |  | |
5,716 | 3DP1 |  | Brazil Mato Grosso do Sul Campo Grande KIR |  | 100.0 | | | 206 | See |  | |
5,717 | 3DP1 |  | Brazil Paraná Maringa KIR |  | 100.0 | | | 130 | See |  | |
5,718 | 3DP1 |  | Brazil Parana Mixed KIR |  | 100.0 | | | 289 | See |  | |
5,719 | 3DP1 |  | Brazil Porto Alegre Caucasian KIR pop 3 |  | 100.0 | | | 278 | See |  | |
5,720 | 3DP1 |  | Brazil Rio de Janeiro Caucasian pop 2 KIR |  | 100.0 | | | 98 | See |  | |
5,721 | 3DP1 |  | Brazil Rio de Janeiro Mixed KIR |  | 100.0 | | | 166 | See |  | |
5,722 | 3DP1 |  | Brazil Rondonia Porto Velho KIR |  | 100.0 | | | 377 | See |  | |
5,723 | 3DP1 |  | Brazil Sao Paulo KIR |  | 100.0 | | | 289 | See |  | |
5,724 | 3DP1 |  | Canada Iranian KIR |  | 95.6 | | | 68 | See |  | |
5,725 | 3DP1 |  | Chile Talca KIR |  | 100.0 | | | 90 | See |  | |
5,726 | 3DP1 |  | China Eastern Mainland Han KIR |  | 100.0 | | | 106 | See |  | |
5,727 | 3DP1 |  | China Guangdong Han KIR |  | 100.0 | | | 107 | See |  | |
5,728 | 3DP1 |  | China Hubei Province Tujia KIR |  | 100.0 | | | 124 | See |  | |
5,729 | 3DP1 |  | China Hunan Han KIR |  | 100.0 | | | 448 | See |  | |
5,730 | 3DP1 |  | China Inner Mongolia Han KIR |  | 100.0 | | | 104 | See |  | |
5,731 | 3DP1 |  | China Inner Mongolia Mongol KIR |  | 100.0 | | | 160 | See |  | |
5,732 | 3DP1 |  | China Inner Mongolia Province KIR pop 2 |  | 100.0 | 1.000 |  | 87 | See |  | |
5,733 | 3DP1 |  | China Jiangsu Province Han KIR |  | 100.0 | | | 150 | See |  | |
5,734 | 3DP1 |  | China Jiangsu Province Han KIR pop2 |  | 88.3 | | | 60 | See |  | |
5,735 | 3DP1 |  | China Mongolia Province KIR |  | 94.4 | | | 90 | See |  | |
5,736 | 3DP1 |  | China Shaanxi Province Han KIR |  | 100.0 | | | 104 | See |  | |
5,737 | 3DP1 |  | China Shenzhen Han KIR pop 2 |  | 100.0 | | | 503 | See |  | |
5,738 | 3DP1 |  | China Tibet Lhasa KIR |  | 99.0 | | | 102 | See |  | |
5,739 | 3DP1 |  | China Xinjiang Region Urumqi Uygur KIR |  | 100.0 | | | 120 | See |  | |
5,740 | 3DP1 |  | China Yunnan Han KIR |  | 99.5 | | | 404 | See |  | |
5,741 | 3DP1 |  | China Yunnan Province Dali Bai KIR |  | 100.0 | | | 100 | See |  | |
5,742 | 3DP1 |  | China Yunnan Province Drung KIR |  | 100.0 | | | 152 | See |  | |
5,743 | 3DP1 |  | China Yunnan Province Fengyandong Han KIR |  | 100.0 | | | 93 | See |  | |
5,744 | 3DP1 |  | China Yunnan Province Fugong Nu KIR |  | 100.0 | | | 112 | See |  | |
5,745 | 3DP1 |  | China Yunnan Province Menghai Bulang KIR |  | 100.0 | | | 109 | See |  | |
5,746 | 3DP1 |  | China Yunnan Province Sunan Yugu KIR |  | 99.0 | | | 104 | See |  | |
5,747 | 3DP1 |  | China Yunnan Province Tiandeng Zhuang KIR |  | 100.0 | | | 98 | See |  | |
5,748 | 3DP1 |  | China Zhejiang Han KIR |  | 100.0 | | | 273 | See |  | |
5,749 | 3DP1 |  | Comoros Mixed KIR |  | 100.0 | | | 54 | See |  | |
5,750 | 3DP1 |  | Cook Islands KIR |  | 94.0 | | | 48 | See |  | |
5,751 | 3DP1 |  | Croatia KIR |  | 100.0 | | | 125 | See |  | |
5,752 | 3DP1 |  | Croatia KIR pop 2 |  | 100.0 | | | 111 | See |  | |
5,753 | 3DP1 |  | Croatia KIR pop 3 |  | 100.0 | | | 121 | See |  | |
5,754 | 3DP1 |  | Cuba Caucasian KIR |  | 100.0 | | | 70 | See |  | |
5,755 | 3DP1 |  | Czech Republic KIR |  | 100.0 | | | 125 | See |  | |
5,756 | 3DP1 |  | East Timor KIR |  | 100.0 | | | 50 | See |  | |
5,757 | 3DP1 |  | England KIR pop 4 |  | 100.0 | | | 99 | See |  | |
5,758 | 3DP1 |  | England KIR pop 5 |  | 100.0 | | | 584 | See |  | |
5,759 | 3DP1 |  | Equatorial Guinea Bioko Island Bubi KIR |  | 99.0 | | | 95 | See |  | |
5,760 | 3DP1 |  | Finland Helsinki KIR |  | 100.0 | | | 101 | See |  | |
5,761 | 3DP1 |  | France Reims KIR |  | 100.0 | | | 102 | See |  | |
5,762 | 3DP1 |  | France Southeast KIR |  | 100.0 | | | 130 | See |  | |
5,763 | 3DP1 |  | France Southeast KIR pop 2 |  | 100.0 | | | 38 | See |  | |
5,764 | 3DP1 |  | France West KIR |  | 97.0 | | | 108 | See |  | |
5,765 | 3DP1 |  | Gabon KIR |  | 100.0 | | | 54 | See |  | |
5,766 | 3DP1 |  | Ghana KIR |  | 100.0 | | | 41 | See |  | |
5,767 | 3DP1 |  | Guadeloupe Mixed KIR |  | 100.0 | | | 90 | See |  | |
5,768 | 3DP1 |  | Hong Kong Chinese KIR |  | 100.0 | | | 100 | See |  | |
5,769 | 3DP1 |  | India Madurai Piramalai Kallar Dravidian KIR |  | 86.0 | | | 100 | See |  | |
5,770 | 3DP1 |  | India North KIR |  | 92.6 | | | 512 | See |  | |
5,771 | 3DP1 |  | India Northeast Assam Kharachi |  | 100.0 | | | 108 | See |  | |
5,772 | 3DP1 |  | India Northeast Assam Adivasi |  | 100.0 | | | 101 | See |  | |
5,773 | 3DP1 |  | India Northeast Assam Ahom |  | 100.0 | | | 104 | See |  | |
5,774 | 3DP1 |  | India Tamil Nadu Kanikar KIR |  | 100.0 | | | 35 | See |  | |
5,775 | 3DP1 |  | India Tamil Nadu Mollukurumba KIR |  | 100.0 | | | 41 | See |  | |
5,776 | 3DP1 |  | India Tamil Nadu Paravar KIR |  | 100.0 | | | 77 | See |  | |
5,777 | 3DP1 |  | India West Bengal Rabha KIR |  | 100.0 | | | 50 | See |  | |
5,778 | 3DP1 |  | India West Bengal Rajbanshi KIR |  | 100.0 | | | 75 | See |  | |
5,779 | 3DP1 |  | India Western KIR |  | 99.4 | | | 161 | See |  | |
5,780 | 3DP1 |  | Indonesia Java KIR |  | 100.0 | | | 45 | See |  | |
5,781 | 3DP1 |  | Indonesia Moluccan Islands KIR |  | 100.0 | | | 63 | See |  | |
5,782 | 3DP1 |  | Indonesia Sulawesi Minahasans KIR |  | 100.0 | | | 60 | See |  | |
5,783 | 3DP1 |  | Indonesia West Sumatra Minangs KIR |  | 100.0 | | | 45 | See |  | |
5,784 | 3DP1 |  | Iran East Azerbaijan Azerbaijani KIR |  | 100.0 | | | 100 | See |  | |
5,785 | 3DP1 |  | Iran East Azerbaijan Azeri KIR |  | 100.0 | | | 84 | See |  | |
5,786 | 3DP1 |  | Iran Fars Persian KIR |  | 100.0 | | | 248 | See |  | |
5,787 | 3DP1 |  | Iran Hormozgan and Balochistan Jonobi KIR |  | 100.0 | | | 100 | See |  | |
5,788 | 3DP1 |  | Iran Khuzestan Arab KIR |  | 100.0 | | | 76 | See |  | |
5,789 | 3DP1 |  | Iran Khuzestan Bakhtiari KIR |  | 100.0 | | | 96 | See |  | |
5,790 | 3DP1 |  | Iran KIR |  | 100.0 | | | 200 | See |  | |
5,791 | 3DP1 |  | Iran Northern KIR |  | 100.0 | | | 100 | See |  | |
5,792 | 3DP1 |  | Iran Tehran KIR |  | 100.0 | | | 100 | See |  | |
5,793 | 3DP1 |  | Ireland KIR pop 2 |  | 100.0 | | | 240 | See |  | |
5,794 | 3DP1 |  | Ireland Northern KIR |  | 100.0 | | | 200 | See |  | |
5,795 | 3DP1 |  | Ireland Northern KIR pop2 |  | 100.0 | | | 154 | See |  | |
5,796 | 3DP1 |  | Italy Lombardy KIR |  | 100.0 | | | 50 | See |  | |
5,797 | 3DP1 |  | Japan KIR pop 2 |  | 100.0 | | | 41 | See |  | |
5,798 | 3DP1 |  | Japan KIR pop 3 |  | 100.0 | | | 132 | See |  | |
5,799 | 3DP1 |  | Korea pop 2 KIR |  | 100.0 | | | 159 | See |  | |
5,800 | 3DP1 |  | Macedonia KIR |  | 99.5 | | | 214 | See |  | |
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in three decimal format.
* % of individuals that have the allele: Percentage of individuals who have the allele or gene in the population (Individuals / n).
¹ IPD-KIR Database - For more details of the allele.
² Distribution - Graphical display of the distribution of the allele.
³ Notes - See notes for ambiguous combinations of alleles.