| Line |
Allele |
Population |
% of individuals that have the allele/gene |
Allele Frequency (3 decimals) |
Sample Size |
IPD-KIR Database¹ |
Distribution² |
Notes³ |
| 3,201 | 3DL1 |  | Brazil Bahia Ilhéus KIR |  | 96.1 | 0.802 |  | 102 | See |  | |
| 3,202 | 3DL1 |  | Brazil Belem Mixed KIR |  | 93.0 | | | 347 | See |  | |
| 3,203 | 3DL1 |  | Brazil Belo Horizonte Caucasian KIR |  | 95.6 | | | 90 | See |  | |
| 3,204 | 3DL1 |  | Brazil Curitiba Japanese KIR |  | 94.1 | | | 51 | See |  | |
| 3,205 | 3DL1 |  | Brazil Curitiba KIR |  | 92.7 | 0.730 |  | 164 | See |  | |
| 3,206 | 3DL1 |  | Brazil Guarani Kaiowá KIR |  | 81.0 | | | 96 | See |  | |
| 3,207 | 3DL1 |  | Brazil Guarani MByá KIR |  | 74.0 | | | 81 | See |  | |
| 3,208 | 3DL1 |  | Brazil Guarani Ñandeva KIR |  | 86.0 | | | 50 | See |  | |
| 3,209 | 3DL1 |  | Brazil Kaingang KIR |  | 78.0 | | | 100 | See |  | |
| 3,210 | 3DL1 |  | Brazil Mato Grosso do Sul Campo Grande KIR |  | 88.2 | | | 206 | See |  | |
| 3,211 | 3DL1 |  | Brazil Parana Japanese KIR |  | 96.7 | | | 214 | See |  | |
| 3,212 | 3DL1 |  | Brazil Paraná Maringa KIR |  | 96.9 | | | 130 | See |  | |
| 3,213 | 3DL1 |  | Brazil Parana Mixed KIR |  | 94.1 | | | 289 | See |  | |
| 3,214 | 3DL1 |  | Brazil Parana Mixed KIR pop 2 |  | 91.9 | | | 172 | See |  | |
| 3,215 | 3DL1 |  | Brazil Porto Alegre Caucasian KIR |  | 97.6 | | | 250 | See |  | |
| 3,216 | 3DL1 |  | Brazil Porto Alegre Caucasian KIR pop 2 |  | 94.4 | | | 216 | See |  | |
| 3,217 | 3DL1 |  | Brazil Porto Alegre Caucasian KIR pop 3 |  | 92.4 | | | 278 | See |  | |
| 3,218 | 3DL1 |  | Brazil Rio de Janeiro Caucasian pop 2 KIR |  | 97.3 | | | 98 | See |  | |
| 3,219 | 3DL1 |  | Brazil Rio de Janeiro Mixed KIR |  | 96.4 | | | 166 | See |  | |
| 3,220 | 3DL1 |  | Brazil Rondonia Karitiana KIR |  | 81.8 | | | 55 | See |  | |
| 3,221 | 3DL1 |  | Brazil Rondonia Porto Velho KIR |  | 93.9 | | | 377 | See |  | |
| 3,222 | 3DL1 |  | Brazil Rondonia Surui KIR |  | 91.3 | | | 46 | See |  | |
| 3,223 | 3DL1 |  | Brazil Sao Paulo KIR |  | 94.0 | | | 289 | See |  | |
| 3,224 | 3DL1 |  | Brazil Southeast Caucasian KIR |  | 87.3 | | | 55 | See |  | |
| 3,225 | 3DL1 |  | Brazil Western Amazon Ticuna KIR |  | 93.8 | | | 65 | See |  | |
| 3,226 | 3DL1 |  | Bulgaria KIR |  | 91.0 | | | 54 | See |  | |
| 3,227 | 3DL1 |  | Cambodia KIR |  | 95.2 | | | 22 | See |  | |
| 3,228 | 3DL1 |  | Canada Iranian KIR |  | 91.2 | | | 68 | See |  | |
| 3,229 | 3DL1 |  | Central African Republic Bagandu Biaka KIR |  | 100.0 | | | 69 | See |  | |
| 3,230 | 3DL1 |  | Chile Talca KIR |  | 86.7 | | | 90 | See |  | |
| 3,231 | 3DL1 |  | China Eastern Mainland Han KIR |  | 94.0 | | | 106 | See |  | |
| 3,232 | 3DL1 |  | China Guangdong Han KIR |  | 97.2 | | | 107 | See |  | |
| 3,233 | 3DL1 |  | China Hubei Province Tujia KIR |  | 98.0 | | | 124 | See |  | |
| 3,234 | 3DL1 |  | China Hunan Han KIR |  | 96.7 | | | 448 | See |  | |
| 3,235 | 3DL1 |  | China Inner Mongolia Han KIR |  | 95.2 | | | 104 | See |  | |
| 3,236 | 3DL1 |  | China Inner Mongolia Mongol KIR |  | 95.6 | | | 160 | See |  | |
| 3,237 | 3DL1 |  | China Inner Mongolia Province KIR pop 2 |  | 93.0 | 0.740 |  | 87 | See |  | |
| 3,238 | 3DL1 |  | China Jiangsu Province Han KIR |  | 93.3 | | | 150 | See |  | |
| 3,239 | 3DL1 |  | China Jiangsu Province Han KIR pop2 |  | 91.7 | | | 60 | See |  | |
| 3,240 | 3DL1 |  | China Mongolia Province KIR |  | 95.6 | | | 90 | See |  | |
| 3,241 | 3DL1 |  | China Nanjing KIR |  | 95.0 | | | 238 | See |  | |
| 3,242 | 3DL1 |  | China Shaanxi Province Han KIR |  | 96.2 | | | 104 | See |  | |
| 3,243 | 3DL1 |  | China Shenzhen Han KIR pop 2 |  | 96.2 | | | 503 | See |  | |
| 3,244 | 3DL1 |  | China Tibet Lhasa KIR |  | 88.0 | | | 102 | See |  | |
| 3,245 | 3DL1 |  | China Xinjiang Region Urumqi Uygur KIR |  | 93.3 | | | 120 | See |  | |
| 3,246 | 3DL1 |  | China Yunnan Han KIR |  | 95.5 | | | 404 | See |  | |
| 3,247 | 3DL1 |  | China Yunnan Province Dali Bai KIR |  | 95.0 | | | 100 | See |  | |
| 3,248 | 3DL1 |  | China Yunnan Province Drung KIR |  | 98.0 | | | 152 | See |  | |
| 3,249 | 3DL1 |  | China Yunnan Province Fengyandong Han KIR |  | 96.8 | | | 93 | See |  | |
| 3,250 | 3DL1 |  | China Yunnan Province Fugong Nu KIR |  | 98.0 | | | 112 | See |  | |
| 3,251 | 3DL1 |  | China Yunnan Province Menghai Bulang KIR |  | 82.0 | | | 109 | See |  | |
| 3,252 | 3DL1 |  | China Yunnan Province Sunan Yugu KIR |  | 94.0 | | | 104 | See |  | |
| 3,253 | 3DL1 |  | China Yunnan Province Tiandeng Zhuang KIR |  | 94.0 | | | 98 | See |  | |
| 3,254 | 3DL1 |  | China Zhejiang Han KIR |  | 94.1 | | | 273 | See |  | |
| 3,255 | 3DL1 |  | China Zhejiang Province Han KIR |  | 94.2 | | | 104 | See |  | |
| 3,256 | 3DL1 |  | Comoros Mixed KIR |  | 98.0 | | | 54 | See |  | |
| 3,257 | 3DL1 |  | Congo Kinshasa Ituri Forest Mbuti KIR |  | 97.2 | | | 38 | See |  | |
| 3,258 | 3DL1 |  | Cook Islands KIR |  | 90.0 | | | 48 | See |  | |
| 3,259 | 3DL1 |  | Costa Rica Guanacaste KIR |  | 97.0 | | | 117 | See |  | |
| 3,260 | 3DL1 |  | Croatia KIR |  | 96.0 | | | 125 | See |  | |
| 3,261 | 3DL1 |  | Croatia KIR pop 2 |  | 92.0 | | | 111 | See |  | |
| 3,262 | 3DL1 |  | Croatia KIR pop 3 |  | 96.0 | | | 121 | See |  | |
| 3,263 | 3DL1 |  | Cuba Caucasian KIR |  | 91.4 | | | 70 | See |  | |
| 3,264 | 3DL1 |  | Czech Republic KIR |  | 94.0 | | | 125 | See |  | |
| 3,265 | 3DL1 |  | Denmark Copenhagen KIR |  | 98.0 | | | 50 | See |  | |
| 3,266 | 3DL1 |  | East Timor KIR |  | 74.0 | | | 50 | See |  | |
| 3,267 | 3DL1 |  | England KIR |  | 97.0 | | | 136 | See |  | |
| 3,268 | 3DL1 |  | England KIR pop 3 |  | 91.0 | | | 334 | See |  | |
| 3,269 | 3DL1 |  | England KIR pop 4 |  | 96.0 | | | 99 | See |  | |
| 3,270 | 3DL1 |  | England KIR pop 5 |  | 94.4 | | | 584 | See |  | |
| 3,271 | 3DL1 |  | England Oxfordshire KIR |  | 93.5 | | | 216 | See |  | |
| 3,272 | 3DL1 |  | England West Midlands Afro Caribbean KIR |  | 98.0 | | | 54 | See |  | |
| 3,273 | 3DL1 |  | England West Midlands Indian Asian KIR |  | 91.0 | | | 35 | See |  | |
| 3,274 | 3DL1 |  | England West Midlands KIR |  | 94.0 | | | 126 | See |  | |
| 3,275 | 3DL1 |  | Equatorial Guinea Bioko Island Bubi KIR |  | 99.0 | | | 95 | See |  | |
| 3,276 | 3DL1 |  | Finland Helsinki KIR |  | 93.1 | | | 101 | See |  | |
| 3,277 | 3DL1 |  | Finland KIR |  | 90.9 | | | 35 | See |  | |
| 3,278 | 3DL1 |  | France Reims KIR |  | 93.1 | | | 102 | See |  | |
| 3,279 | 3DL1 |  | France Southeast KIR |  | 98.4 | | | 130 | See |  | |
| 3,280 | 3DL1 |  | France Southeast KIR pop 2 |  | 89.0 | | | 38 | See |  | |
| 3,281 | 3DL1 |  | France West KIR |  | 96.0 | | | 108 | See |  | |
| 3,282 | 3DL1 |  | Gabon KIR |  | 100.0 | | | 54 | See |  | |
| 3,283 | 3DL1 |  | Georgia KIR |  | 93.6 | | | 188 | See |  | |
| 3,284 | 3DL1 |  | Germany Hesse KIR |  | 90.9 | | | 99 | See |  | |
| 3,285 | 3DL1 |  | Germany KIR |  | 96.0 | | | 100 | See |  | |
| 3,286 | 3DL1 |  | Ghana KIR |  | 100.0 | | | 41 | See |  | |
| 3,287 | 3DL1 |  | Greece KIR |  | 90.0 | | | 233 | See |  | |
| 3,288 | 3DL1 |  | Guadeloupe Mixed KIR |  | 99.0 | | | 90 | See |  | |
| 3,289 | 3DL1 |  | Hong Kong Chinese KIR |  | 94.0 | | | 100 | See |  | |
| 3,290 | 3DL1 |  | India Madurai Piramalai Kallar Dravidian KIR |  | 93.0 | | | 100 | See |  | |
| 3,291 | 3DL1 |  | India Maharashtra Pune Western KIR |  | 86.5 | | | 104 | See |  | |
| 3,292 | 3DL1 |  | India Mumbai Maharashtrian KIR |  | 91.4 | | | 139 | See |  | |
| 3,293 | 3DL1 |  | India Mumbai Parsi KIR |  | 87.4 | | | 145 | See |  | |
| 3,294 | 3DL1 |  | India North Hindu KIR |  | 87.5 | | | 72 | See |  | |
| 3,295 | 3DL1 |  | India North KIR |  | 81.6 | | | 512 | See |  | |
| 3,296 | 3DL1 |  | India North pop 2 KIR |  | 84.0 | | | 100 | See |  | |
| 3,297 | 3DL1 |  | India Northeast Assam Kharachi |  | 90.7 | | | 108 | See |  | |
| 3,298 | 3DL1 |  | India Northeast Assam Adivasi |  | 98.0 | | | 101 | See |  | |
| 3,299 | 3DL1 |  | India Northeast Assam Ahom |  | 96.1 | | | 104 | See |  | |
| 3,300 | 3DL1 |  | India Northeast Assam KIR |  | 88.7 | | | 177 | 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.