Line |
Allele |
Population |
% of individuals that have the allele/gene |
Allele Frequency (3 decimals) |
Sample Size |
IPD-KIR Database¹ |
Distribution² |
Notes³ |
1,601 | 2DS4*00101 |  | USA Caucasian NMDP KIR |  | 42.9 | | | 75 | See |  | |
1,602 | 2DS4*00102 |  | China Jiangsu Province Han KIR | | 0.0 | | | 150 | See |  | |
1,603 | 2DS4*00102 |  | Hong Kong Chinese KIR |  | 1.0 | | | 100 | See |  | |
1,604 | 2DS4*00102 |  | Oman KIR | | 0.0 | | | 99 | See |  | |
1,605 | 2DS4*00102 |  | South Africa Xhosa KIR | | 0.0 | | | 50 | See |  | |
1,606 | 2DS4*00103 |  | China Jiangsu Province Han KIR | | 0.0 | | | 150 | See |  | |
1,607 | 2DS4*00103 |  | USA African American KIR pop 2 |  | 1.0 | | | 100 | See |  | |
1,608 | 2DS4*00104 |  | USA African American KIR pop 2 |  | 5.0 | | | 100 | See |  | |
1,609 | 2DS4*003 |  | China Jiangsu Province Han KIR |  | 11.3 | | | 150 | See |  | |
1,610 | 2DS4*003 |  | China Zhejiang Province Han KIR |  | 12.4 | 0.071 |  | 104 | See |  | |
1,611 | 2DS4*003 |  | Ghana Ga-Adangbe KIR |  | | 0.137 |  | 131 | See |  | |
1,612 | 2DS4*003 |  | Hong Kong Chinese KIR |  | 33.0 | | | 100 | See |  | |
1,613 | 2DS4*003 |  | Italy KIR |  | 89.0 | | | 217 | See |  | |
1,614 | 2DS4*003 |  | Japan KIR pop 3 |  | | 0.060 |  | 132 | See |  | |
1,615 | 2DS4*003 |  | Oman KIR |  | 63.6 | | | 99 | See |  | |
1,616 | 2DS4*003 |  | South Africa Xhosa KIR |  | 14.0 | | | 50 | See |  | |
1,617 | 2DS4*003 |  | USA African American KIR pop 2 |  | 24.0 | | | 100 | See |  | |
1,618 | 2DS4*003 |  | USA Caucasian NMDP KIR |  | 48.1 | | | 75 | See |  | |
1,619 | 2DS4*004 |  | China Jiangsu Province Han KIR |  | 16.7 | | | 150 | See |  | |
1,620 | 2DS4*004 |  | China Zhejiang Province Han KIR |  | 12.4 | 0.071 |  | 104 | See |  | |
1,621 | 2DS4*004 |  | Ghana Ga-Adangbe KIR |  | | 0.074 |  | 131 | See |  | |
1,622 | 2DS4*004 |  | Hong Kong Chinese KIR |  | 15.0 | | | 100 | See |  | |
1,623 | 2DS4*004 |  | Japan KIR pop 3 |  | | 0.129 |  | 132 | See |  | |
1,624 | 2DS4*004 |  | Oman KIR |  | 6.1 | | | 99 | See |  | |
1,625 | 2DS4*004 |  | South Africa Xhosa KIR | | 0.0 | | | 50 | See |  | |
1,626 | 2DS4*004 |  | USA African American KIR pop 2 |  | 8.0 | | | 100 | See |  | |
1,627 | 2DS4*004 |  | USA Caucasian NMDP KIR |  | 3.9 | | | 75 | See |  | |
1,628 | 2DS4*006 |  | China Jiangsu Province Han KIR | | 0.0 | | | 150 | See |  | |
1,629 | 2DS4*006 |  | Ghana Ga-Adangbe KIR | | | 0.120 |  | 131 | See |  | |
1,630 | 2DS4*006 |  | Hong Kong Chinese KIR | | 0.0 | | | 100 | See |  | |
1,631 | 2DS4*006 |  | Oman KIR |  | 19.2 | | | 99 | See |  | |
1,632 | 2DS4*006 |  | South Africa Xhosa KIR |  | 18.0 | | | 50 | See |  | |
1,633 | 2DS4*006 |  | USA African American KIR pop 2 |  | 20.0 | | | 100 | See |  | |
1,634 | 2DS4*006 |  | USA Caucasian NMDP KIR |  | 20.8 | | | 75 | See |  | |
1,635 | 2DS4*007 |  | China Jiangsu Province Han KIR |  | 22.7 | | | 150 | See |  | |
1,636 | 2DS4*007 |  | China Zhejiang Province Han KIR |  | 20.0 | 0.114 |  | 104 | See |  | |
1,637 | 2DS4*007 |  | Japan KIR pop 3 |  | | 0.129 |  | 132 | See |  | |
1,638 | 2DS4*007 |  | USA African American KIR pop 2 |  | 10.0 | | | 100 | See |  | |
1,639 | 2DS4*007 |  | USA Caucasian NMDP KIR |  | 24.7 | | | 75 | See |  | |
1,640 | 2DS4*008 |  | China Jiangsu Province Han KIR | | 0.0 | | | 150 | See |  | |
1,641 | 2DS4*009 |  | China Jiangsu Province Han KIR | | 0.0 | | | 150 | See |  | |
1,642 | 2DS4*009 |  | Ghana Ga-Adangbe KIR | | | 0.033 |  | 131 | See |  | |
1,643 | 2DS4*009 |  | USA African American KIR pop 2 |  | 5.0 | | | 100 | See |  | |
1,644 | 2DS4*010 |  | Ghana Ga-Adangbe KIR |  | | 0.008 |  | 131 | See |  | |
1,645 | 2DS4*011 |  | USA African American KIR pop 2 |  | 2.0 | | | 100 | See |  | |
1,646 | 2DS4*012 |  | Ghana Ga-Adangbe KIR |  | | 0.003 |  | 131 | See |  | |
1,647 | 2DS4*012 |  | USA African American KIR pop 2 |  | 1.0 | | | 100 | See |  | |
1,648 | 2DS4*013 |  | USA African American KIR pop 2 |  | 4.0 | | | 100 | See |  | |
1,649 | 2DS5 |  | Argentina KIR |  | 32.3 | | | 102 | See |  | |
1,650 | 2DS5 |  | Borneo Kalimantan KIR |  | 10.0 | | | 48 | See |  | |
1,651 | 2DS5 |  | Brazil Amazon KIR |  | 90.0 | | | 40 | See |  | |
1,652 | 2DS5 |  | Brazil Belem Mixed KIR |  | 54.2 | | | 347 | See |  | |
1,653 | 2DS5 |  | Brazil Curitiba KIR |  | 31.9 | 0.170 |  | 164 | See |  | |
1,654 | 2DS5 |  | Brazil Parana Mixed KIR |  | 34.6 | | | 289 | See |  | |
1,655 | 2DS5 |  | Brazil Porto Alegre Caucasian KIR |  | 29.1 | | | 250 | See |  | |
1,656 | 2DS5 |  | Brazil Rio de Janeiro Mixed KIR |  | 40.4 | | | 166 | See |  | |
1,657 | 2DS5 |  | China Eastern Mainland Han KIR |  | 28.0 | | | 106 | See |  | |
1,658 | 2DS5 |  | China Jiangsu Province Han KIR |  | 30.7 | | | 150 | See |  | |
1,659 | 2DS5 |  | China Shaanxi Province Han KIR |  | 38.5 | | | 104 | See |  | |
1,660 | 2DS5 |  | China Tibet Lhasa KIR |  | 37.0 | | | 102 | See |  | |
1,661 | 2DS5 |  | China Xinjiang Region Urumqi Uygur KIR |  | 42.5 | | | 120 | See |  | |
1,662 | 2DS5 |  | China Yunnan Province Dali Bai KIR |  | 29.0 | | | 100 | See |  | |
1,663 | 2DS5 |  | China Yunnan Province Fengyandong Han KIR |  | 11.8 | | | 93 | See |  | |
1,664 | 2DS5 |  | China Yunnan Province Fugong Nu KIR |  | 16.0 | | | 112 | See |  | |
1,665 | 2DS5 |  | China Yunnan Province Menghai Bulang KIR |  | 40.0 | | | 109 | See |  | |
1,666 | 2DS5 |  | China Yunnan Province Sunan Yugu KIR |  | 29.0 | | | 104 | See |  | |
1,667 | 2DS5 |  | China Yunnan Province Tiandeng Zhuang KIR |  | 16.0 | | | 98 | See |  | |
1,668 | 2DS5 |  | China Zhejiang Province Han KIR |  | 23.0 | | | 104 | See |  | |
1,669 | 2DS5 |  | Comoros Mixed KIR |  | 37.0 | | | 54 | See |  | |
1,670 | 2DS5 |  | Cook Islands KIR |  | 35.0 | | | 48 | See |  | |
1,671 | 2DS5 |  | Costa Rica Guanacaste KIR |  | 41.0 | | | 117 | See |  | |
1,672 | 2DS5 |  | Czech Republic KIR |  | 26.0 | | | 125 | See |  | |
1,673 | 2DS5 |  | East Timor KIR |  | 60.0 | | | 50 | See |  | |
1,674 | 2DS5 |  | England KIR |  | 32.0 | | | 136 | See |  | |
1,675 | 2DS5 |  | England KIR pop 5 |  | 36.3 | | | 584 | See |  | |
1,676 | 2DS5 |  | England Oxfordshire KIR |  | 31.5 | | | 216 | See |  | |
1,677 | 2DS5 |  | England West Midlands Afro Caribbean KIR |  | 30.0 | | | 54 | See |  | |
1,678 | 2DS5 |  | England West Midlands Indian Asian KIR |  | 51.0 | | | 35 | See |  | |
1,679 | 2DS5 |  | England West Midlands KIR |  | 33.0 | | | 126 | See |  | |
1,680 | 2DS5 |  | France Reims KIR |  | 36.3 | | | 102 | See |  | |
1,681 | 2DS5 |  | France Southeast KIR pop 2 |  | 34.0 | | | 38 | See |  | |
1,682 | 2DS5 |  | France West KIR |  | 27.0 | | | 108 | See |  | |
1,683 | 2DS5 |  | Gabon KIR |  | 33.3 | | | 54 | See |  | |
1,684 | 2DS5 |  | Germany Hesse KIR |  | 27.2 | | | 99 | See |  | |
1,685 | 2DS5 |  | Greece KIR |  | 21.0 | | | 233 | See |  | |
1,686 | 2DS5 |  | Guadeloupe Mixed KIR |  | 32.0 | | | 90 | See |  | |
1,687 | 2DS5 |  | Hong Kong Chinese KIR |  | 26.0 | | | 100 | See |  | |
1,688 | 2DS5 |  | India Mumbai Maharashtrian KIR |  | 46.4 | | | 139 | See |  | |
1,689 | 2DS5 |  | India Mumbai Parsi KIR |  | 51.0 | | | 145 | See |  | |
1,690 | 2DS5 |  | India North Hindu KIR |  | 47.2 | | | 72 | See |  | |
1,691 | 2DS5 |  | Indonesia Java KIR |  | 31.0 | | | 45 | See |  | |
1,692 | 2DS5 |  | Indonesia Moluccan Islands KIR |  | 48.0 | | | 63 | See |  | |
1,693 | 2DS5 |  | Indonesia Sulawesi Minahasans KIR |  | 48.0 | | | 60 | See |  | |
1,694 | 2DS5 |  | Indonesia West Sumatra Minangs KIR |  | 29.0 | | | 45 | See |  | |
1,695 | 2DS5 |  | Iran East Azerbaijan Azerbaijani KIR |  | 38.0 | | | 100 | See |  | |
1,696 | 2DS5 |  | Iran East Azerbaijan Azeri KIR |  | 34.5 | | | 84 | See |  | |
1,697 | 2DS5 |  | Iran Fars Persian KIR |  | 25.4 | | | 248 | See |  | |
1,698 | 2DS5 |  | Iran Hormozgan and Balochistan Jonobi KIR |  | 36.0 | | | 100 | See |  | |
1,699 | 2DS5 |  | Iran Khuzestan Arab KIR |  | 35.5 | | | 76 | See |  | |
1,700 | 2DS5 |  | Iran Khuzestan Bakhtiari KIR |  | 38.5 | | | 96 | 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.