Line |
Allele |
Population |
% of individuals that have the allele/gene |
Allele Frequency (3 decimals) |
Sample Size |
IPD-KIR Database¹ |
Distribution² |
Notes³ |
5,401 | 3DL3 |  | Brazil Amazon KIR |  | 100.0 | | | 40 | See |  | |
5,402 | 3DL3 |  | Brazil Bahia Ilhéus KIR |  | 100.0 | 1.000 |  | 102 | See |  | |
5,403 | 3DL3 |  | Brazil Belem Mixed KIR |  | 99.0 | | | 347 | See |  | |
5,404 | 3DL3 |  | Brazil Belo Horizonte Caucasian KIR |  | 100.0 | | | 90 | See |  | |
5,405 | 3DL3 |  | Brazil Curitiba Japanese KIR |  | 100.0 | | | 51 | See |  | |
5,406 | 3DL3 |  | Brazil Curitiba KIR |  | 100.0 | 1.000 |  | 164 | See |  | |
5,407 | 3DL3 |  | Brazil Guarani Kaiowá KIR |  | 100.0 | | | 96 | See |  | |
5,408 | 3DL3 |  | Brazil Guarani MByá KIR |  | 100.0 | | | 81 | See |  | |
5,409 | 3DL3 |  | Brazil Guarani Ñandeva KIR |  | 100.0 | | | 50 | See |  | |
5,410 | 3DL3 |  | Brazil Kaingang KIR |  | 100.0 | | | 100 | See |  | |
5,411 | 3DL3 |  | Brazil Mato Grosso do Sul Campo Grande KIR |  | 100.0 | | | 206 | See |  | |
5,412 | 3DL3 |  | Brazil Parana Japanese KIR |  | 100.0 | | | 214 | See |  | |
5,413 | 3DL3 |  | Brazil Paraná Maringa KIR |  | 100.0 | | | 130 | See |  | |
5,414 | 3DL3 |  | Brazil Parana Mixed KIR |  | 100.0 | | | 289 | See |  | |
5,415 | 3DL3 |  | Brazil Parana Mixed KIR pop 2 |  | 100.0 | | | 172 | See |  | |
5,416 | 3DL3 |  | Brazil Porto Alegre Caucasian KIR |  | 100.0 | | | 250 | See |  | |
5,417 | 3DL3 |  | Brazil Porto Alegre Caucasian KIR pop 2 |  | 100.0 | | | 216 | See |  | |
5,418 | 3DL3 |  | Brazil Porto Alegre Caucasian KIR pop 3 |  | 100.0 | | | 278 | See |  | |
5,419 | 3DL3 |  | Brazil Rio de Janeiro Caucasian pop 2 KIR |  | 100.0 | | | 98 | See |  | |
5,420 | 3DL3 |  | Brazil Rio de Janeiro Mixed KIR |  | 99.4 | | | 166 | See |  | |
5,421 | 3DL3 |  | Brazil Rondonia Porto Velho KIR |  | 100.0 | | | 377 | See |  | |
5,422 | 3DL3 |  | Brazil Sao Paulo KIR |  | 100.0 | | | 289 | See |  | |
5,423 | 3DL3 |  | Canada Iranian KIR |  | 100.0 | | | 68 | See |  | |
5,424 | 3DL3 |  | Chile Talca KIR |  | 100.0 | | | 90 | See |  | |
5,425 | 3DL3 |  | China Eastern Mainland Han KIR |  | 100.0 | | | 106 | See |  | |
5,426 | 3DL3 |  | China Guangdong Han KIR |  | 100.0 | | | 107 | See |  | |
5,427 | 3DL3 |  | China Hubei Province Tujia KIR |  | 100.0 | | | 124 | See |  | |
5,428 | 3DL3 |  | China Hunan Han KIR |  | 100.0 | | | 448 | See |  | |
5,429 | 3DL3 |  | China Inner Mongolia Han KIR |  | 100.0 | | | 104 | See |  | |
5,430 | 3DL3 |  | China Inner Mongolia Mongol KIR |  | 100.0 | | | 160 | See |  | |
5,431 | 3DL3 |  | China Inner Mongolia Province KIR pop 2 |  | 100.0 | 1.000 |  | 87 | See |  | |
5,432 | 3DL3 |  | China Jiangsu Province Han KIR |  | 100.0 | | | 150 | See |  | |
5,433 | 3DL3 |  | China Jiangsu Province Han KIR pop2 |  | 100.0 | | | 60 | See |  | |
5,434 | 3DL3 |  | China Mongolia Province KIR |  | 100.0 | | | 90 | See |  | |
5,435 | 3DL3 |  | China Shaanxi Province Han KIR |  | 100.0 | | | 104 | See |  | |
5,436 | 3DL3 |  | China Shenzhen Han KIR pop 2 |  | 100.0 | | | 503 | See |  | |
5,437 | 3DL3 |  | China Tibet Lhasa KIR |  | 100.0 | | | 102 | See |  | |
5,438 | 3DL3 |  | China Xinjiang Region Urumqi Uygur KIR |  | 100.0 | | | 120 | See |  | |
5,439 | 3DL3 |  | China Yunnan Han KIR |  | 100.0 | | | 404 | See |  | |
5,440 | 3DL3 |  | China Yunnan Province Dali Bai KIR |  | 100.0 | | | 100 | See |  | |
5,441 | 3DL3 |  | China Yunnan Province Drung KIR |  | 100.0 | | | 152 | See |  | |
5,442 | 3DL3 |  | China Yunnan Province Fengyandong Han KIR |  | 100.0 | | | 93 | See |  | |
5,443 | 3DL3 |  | China Yunnan Province Fugong Nu KIR |  | 100.0 | | | 112 | See |  | |
5,444 | 3DL3 |  | China Yunnan Province Menghai Bulang KIR |  | 100.0 | | | 109 | See |  | |
5,445 | 3DL3 |  | China Yunnan Province Sunan Yugu KIR |  | 100.0 | | | 104 | See |  | |
5,446 | 3DL3 |  | China Yunnan Province Tiandeng Zhuang KIR |  | 100.0 | | | 98 | See |  | |
5,447 | 3DL3 |  | China Zhejiang Han KIR |  | 100.0 | | | 273 | See |  | |
5,448 | 3DL3 |  | China Zhejiang Province Han KIR |  | 100.0 | | | 104 | See |  | |
5,449 | 3DL3 |  | Comoros Mixed KIR |  | 100.0 | | | 54 | See |  | |
5,450 | 3DL3 |  | Cook Islands KIR |  | 100.0 | | | 48 | See |  | |
5,451 | 3DL3 |  | Costa Rica Guanacaste KIR |  | 100.0 | | | 117 | See |  | |
5,452 | 3DL3 |  | Croatia KIR |  | 100.0 | | | 125 | See |  | |
5,453 | 3DL3 |  | Croatia KIR pop 2 |  | 100.0 | | | 111 | See |  | |
5,454 | 3DL3 |  | Croatia KIR pop 3 |  | 100.0 | | | 121 | See |  | |
5,455 | 3DL3 |  | Cuba Caucasian KIR |  | 100.0 | | | 70 | See |  | |
5,456 | 3DL3 |  | Czech Republic KIR |  | 100.0 | | | 125 | See |  | |
5,457 | 3DL3 |  | East Timor KIR |  | 100.0 | | | 50 | See |  | |
5,458 | 3DL3 |  | England KIR pop 3 |  | 100.0 | | | 334 | See |  | |
5,459 | 3DL3 |  | England KIR pop 4 |  | 100.0 | | | 99 | See |  | |
5,460 | 3DL3 |  | England KIR pop 5 |  | 100.0 | | | 584 | See |  | |
5,461 | 3DL3 |  | England Oxfordshire KIR |  | 100.0 | | | 216 | See |  | |
5,462 | 3DL3 |  | Equatorial Guinea Bioko Island Bubi KIR |  | 100.0 | | | 95 | See |  | |
5,463 | 3DL3 |  | Finland Helsinki KIR |  | 100.0 | | | 101 | See |  | |
5,464 | 3DL3 |  | France Reims KIR |  | 100.0 | | | 102 | See |  | |
5,465 | 3DL3 |  | France Southeast KIR |  | 100.0 | | | 130 | See |  | |
5,466 | 3DL3 |  | France Southeast KIR pop 2 |  | 100.0 | | | 38 | See |  | |
5,467 | 3DL3 |  | France West KIR |  | 100.0 | | | 108 | See |  | |
5,468 | 3DL3 |  | Gabon KIR |  | 100.0 | | | 54 | See |  | |
5,469 | 3DL3 |  | Georgia KIR |  | 99.5 | | | 188 | See |  | |
5,470 | 3DL3 |  | Ghana KIR |  | 100.0 | | | 41 | See |  | |
5,471 | 3DL3 |  | Greece KIR |  | 100.0 | | | 233 | See |  | |
5,472 | 3DL3 |  | Guadeloupe Mixed KIR |  | 100.0 | | | 90 | See |  | |
5,473 | 3DL3 |  | Hong Kong Chinese KIR |  | 100.0 | | | 100 | See |  | |
5,474 | 3DL3 |  | India Madurai Piramalai Kallar Dravidian KIR |  | 100.0 | | | 100 | See |  | |
5,475 | 3DL3 |  | India Maharashtra Pune Western KIR |  | 100.0 | | | 104 | See |  | |
5,476 | 3DL3 |  | India Mumbai Maharashtrian KIR |  | 100.0 | | | 139 | See |  | |
5,477 | 3DL3 |  | India Mumbai Parsi KIR |  | 100.0 | | | 145 | See |  | |
5,478 | 3DL3 |  | India North Hindu KIR |  | 100.0 | | | 72 | See |  | |
5,479 | 3DL3 |  | India North KIR |  | 100.0 | | | 512 | See |  | |
5,480 | 3DL3 |  | India North pop 2 KIR |  | 100.0 | | | 100 | See |  | |
5,481 | 3DL3 |  | India Northeast Assam Kharachi |  | 100.0 | | | 108 | See |  | |
5,482 | 3DL3 |  | India Northeast Assam Adivasi |  | 100.0 | | | 101 | See |  | |
5,483 | 3DL3 |  | India Northeast Assam Ahom |  | 100.0 | | | 104 | See |  | |
5,484 | 3DL3 |  | India Tamil Nadu Kanikar KIR |  | 100.0 | | | 35 | See |  | |
5,485 | 3DL3 |  | India Tamil Nadu Mollukurumba KIR |  | 100.0 | | | 41 | See |  | |
5,486 | 3DL3 |  | India Tamil Nadu Paravar KIR |  | 100.0 | | | 77 | See |  | |
5,487 | 3DL3 |  | India West Bengal Rabha KIR |  | 100.0 | | | 50 | See |  | |
5,488 | 3DL3 |  | India West Bengal Rajbanshi KIR |  | 100.0 | | | 75 | See |  | |
5,489 | 3DL3 |  | India Western KIR |  | 100.0 | | | 161 | See |  | |
5,490 | 3DL3 |  | Indonesia Java KIR |  | 100.0 | | | 45 | See |  | |
5,491 | 3DL3 |  | Indonesia Moluccan Islands KIR |  | 100.0 | | | 63 | See |  | |
5,492 | 3DL3 |  | Indonesia Sulawesi Minahasans KIR |  | 100.0 | | | 60 | See |  | |
5,493 | 3DL3 |  | Indonesia West Sumatra Minangs KIR |  | 100.0 | | | 45 | See |  | |
5,494 | 3DL3 |  | Iran East Azerbaijan Azerbaijani KIR |  | 100.0 | | | 100 | See |  | |
5,495 | 3DL3 |  | Iran East Azerbaijan Azeri KIR |  | 100.0 | | | 84 | See |  | |
5,496 | 3DL3 |  | Iran Fars Persian KIR |  | 100.0 | | | 248 | See |  | |
5,497 | 3DL3 |  | Iran Hormozgan and Balochistan Jonobi KIR |  | 100.0 | | | 100 | See |  | |
5,498 | 3DL3 |  | Iran Khuzestan Arab KIR |  | 100.0 | | | 76 | See |  | |
5,499 | 3DL3 |  | Iran Khuzestan Bakhtiari KIR |  | 100.0 | | | 96 | See |  | |
5,500 | 3DL3 |  | Iran KIR |  | 100.0 | | | 200 | 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.