Blood type distribution by country

Last updated

This list concerns blood type distribution between countries and regions. Blood type (also called a blood group) is a classification of blood, based on the presence and absence of antibodies and inherited antigenic substances on the surface of red blood cells (RBCs). These antigens may be proteins, carbohydrates, glycoproteins, or glycolipids, depending on the blood group system.

Contents

ABO and Rh distribution by country

ABO and Rh blood type distribution by country & dependency (population averages)
Country/DependencyPopulation [1] O+A+B+AB+O−A−B−AB−
Flag of Albania.svg  Albania [2] 3,074,57934.1%31.2%14.5%5.2%6.0%5.5%2.6%0.9%
Flag of Algeria.svg  Algeria [3] 43,576,69140.0%30.0%15.0%4.25%6.6%2.3%1.1%0.75%
Flag of Argentina.svg  Argentina [4] 45,479,11848.9%31.54%8.0%2.45%4.9%3.16%0.8%0.25%
Flag of Armenia.svg  Armenia [5] 3,021,32429.0%46.3%12.0%5.6%2.0%3.7%1.0%0.4%
Flag of Australia (converted).svg  Australia [6] 25,466,45938.0%32.0%12.0%4.0%7.0%6.0%2.0%1.0%
Flag of Austria.svg  Austria [7] 8,859,44930.0%37.0%12.0%5.0%6.0%7.0%2.0%0.45%
Flag of Azerbaijan.svg  Azerbaijan 10,205,81029.8%30.0%21.1%9.0%3.3%3.4%2.4%1.0%
Flag of Bahrain.svg  Bahrain 1,505,00348.48%19.35%22.61%3.67%3.27%1.33%1.04%0.25%
Flag of Bangladesh.svg  Bangladesh [8] 164,098,81829.21%26.3%33.12%9.59%0.53%0.48%0.6%0.17%
Flag of Belarus.svg  Belarus 9,441,84232.3%30.6%15.3%6.8%5.7%5.4%2.7%1.2%
Flag of Belgium (civil).svg  Belgium [9] 11,720,71638.0%34.0%8.5%4.0%7.0%6.0%1.5%1.0%
Flag of Bhutan.svg  Bhutan [ citation needed ]857,42338.15%29.27%23.86%8.41%0.06%0.04%0.04%0.01%
Bandera de Bolivia (Estado).svg  Bolivia 11,639,90951.53%29.45%10.11%1.15%4.39%2.73%0.54%0.1%
Flag of Bosnia and Herzegovina.svg  Bosnia and Herzegovina 3,835,58631.0%36.0%12.0%6.0%5.0%7.0%2.0%1.0%
Flag of Brazil.svg  Brazil [10] 211,715,97336.0%34.0%8.0%2.5%9.0%8.0%2.0%0.5%
Flag of Bulgaria.svg  Bulgaria 6,966,89928.0%37.4%12.8%6.8%5.0%6.6%2.2%1.2%
Flag of Burkina Faso.svg  Burkina Faso [11] 21,382,65939.94%20.79%26.34%5.17%3.36%1.75%2.22%0.43%
Flag of Cambodia.svg  Cambodia 16,926,98446.7%27.2%18.5%4.9%1.3%0.8%0.5%0.1%
Flag of Cameroon.svg  Cameroon [12] 27,744,98946.83%24.15%21.06%4.29%1.79%0.92%0.8%0.16%
Flag of Canada (Pantone).svg  Canada [13] 37,694,08539.0%36.0%7.6%2.5%7.0%6.0%1.4%0.5%
Flag of Chile.svg  Chile [14] 18,186,77056.62%27.16%8.78%1.90%3.29%1.63%0.49%0.13%
Flag of Colombia.svg  Colombia [15] 49,084,84156.3%26.11%7.28%1.47%5.13%2.7%0.7%0.31%
Flag of Costa Rica.svg  Costa Rica [16] 5,097,98849.7%28.5%12.4%3.0%3.4%1.9%0.9%0.2%
Flag of Croatia.svg  Croatia 4,227,74629.0%36.0%15.0%5.0%5.0%6.0%3.0%1.0%
Flag of Cuba.svg  Cuba 11,059,06245.8%33.5%10.2%2.9%3.6%2.8%1.0%0.2%
Flag of Cyprus.svg  Cyprus [17] 1,266,67635.22%40.35%11.11%4.72%3.85%3.48%0.87%0.40%
Flag of the Czech Republic.svg  Czech Republic [18] 10,702,49827.0%36.0%15.0%7.0%5.0%6.0%3.0%1.0%
Flag of the Democratic Republic of the Congo.svg  Democratic Republic of the Congo 101,780,26359.5%21.3%15.2%2.4%1.0%0.3%0.2%0.1%
Flag of Denmark.svg  Denmark [19] 5,869,41035.0%37.0%8.0%4.0%6.0%7.0%2.0%1.0%
Flag of the Dominican Republic.svg  Dominican Republic 10,499,70746.2%26.4%16.9%3.1%3.7%2.1%1.4%0.2%
Flag of Ecuador.svg  Ecuador 16,904,86775.0%14.0%7.1%0.5%2.38%0.7%0.3%0.02%
Flag of Egypt.svg  Egypt [20] 104,124,44031.94%35.12%23.12%9.74%n/an/an/an/a
Flag of El Salvador.svg  El Salvador [21] 6,481,10262.0%23.0%11.0%1.0%1.0%1.0%0.7%0.3%
Flag of Estonia.svg  Estonia [22] 1,228,62429.5%30.8%20.7%6.3%4.3%4.5%3.0%0.9%
Flag of Ethiopia.svg  Ethiopia 108,113,15039.0%28.0%21.0%5.0%3.0%2.0%1.0%1.0%
Flag of Fiji.svg  Fiji 935,97443.0%33.3%16.5%4.8%1.0%0.7%0.5%0.2%
Flag of Finland.svg  Finland [23] 5,571,66528.0%35.0%16.0%7.0%5.0%6.0%2.0%1.0%
Flag of France.svg  France [24] 67,848,15636.5%38.2%7.7%2.5%6.5%6.8%1.4%0.4%
Flag of Gabon.svg  Gabon [25] 2,284,91257.55%20.52%17.19%2.54%1.35%0.48%0.41%0.06%
Flag of Georgia.svg  Georgia [26] 4,933,67434.8%32.3%11.9%6.0%6.2%5.7%2.1%1.0%
Flag of Germany.svg  Germany [27] 80,159,66235.0%37.0%9.0%4.0%6.0%6.0%2.0%1.0%
Flag of Ghana.svg  Ghana 29,340,24853.8%17.6%18.3%2.8%4.5%1.3%1.3%0.2%
Flag of Greece.svg  Greece 10,607,05137.8%32.2%11.0%4.0%6.6%5.7%2.0%0.7%
Flag of Guinea.svg  Guinea 12,527,44046.88%21.64%22.86%4.52%2.0%0.9%1.0%0.2%
Flag of Honduras.svg  Honduras 9,235,34057.5%27.0%7.8%2.5%2.7%1.7%0.6%0.2%
Flag of Hong Kong.svg  Hong Kong 7,249,90741.5%26.13%25.34%6.35%0.32%0.17%0.14%0.05%
Flag of Hungary.svg  Hungary 9,771,82727.0%33.0%16.0%8.0%5.0%7.0%3.0%1.0%
Flag of Iceland.svg  Iceland [28] 350,73446.8%27.2%9.0%2.0%8.2%4.8%1.6%0.4%
Flag of India.svg  India [29] 1,339,330,51432.53%21.80%32.10%7.70%2.03%1.36%2.00%0.48%
Flag of Indonesia.svg  Indonesia 267,026,36636.82%25.87%28.85%7.96%0.18%0.13%0.15%0.04%
Flag of Iran.svg  Iran 84,923,31433.5%27.0%22.2%7.0%4.0%3.0%2.5%0.8%
Flag of Iraq.svg  Iraq 38,872,65532.1%25.0%25.6%7.4%3.6%2.7%2.7%0.9%
Flag of Ireland.svg  Ireland [30] 5,176,56947.0%26.0%9.0%2.0%8.0%5.0%2.0%1.0%
Flag of Israel.svg  Israel [31] 8,675,47532.0%34.0%17.0%7.0%3.0%4.0%2.0%1.0%
Flag of Italy.svg  Italy 62,402,65939.0%36.0%7.5%2.5%7.0%6.0%1.5%0.5%
Flag of Cote d'Ivoire.svg  Ivory Coast [32] 28,088,45547.24%20.19%21.7%3.82%3.73%1.54%1.48%0.3%
Flag of Jamaica.svg  Jamaica [33] 2,808,57047.0%23.0%20.0%3.0%3.5%2.0%1.0%0.5%
Flag of Japan.svg  Japan [34] 125,507,47229.9%39.8%19.9%9.9%0.15%0.2%0.1%0.05%
Flag of Jordan.svg  Jordan [35] 10,909,56733.03%32.86%16.56%6.28%4.4%3.97%2.06%0.84%
Flag of Kazakhstan.svg  Kazakhstan 19,091,94930.7%29.8%24.2%8.3%2.3%2.2%1.8%0.7%
Flag of Kenya.svg  Kenya 53,527,93645.6%25.2%21.28%4.2%1.8%1.0%0.9%0.02%
Flag of Laos.svg  Laos [36] 7,574,35637.52%19.73%35.36%6.85%0.2%0.1%0.2%0.05%
Flag of Latvia.svg  Latvia 1,881,23230.6%31.0%17.0%6.0%5.4%6.0%3.0%1.0%
Flag of Lebanon.svg  Lebanon 5,469,61238.4%32.3%9.5%3.2%7.7%6.5%1.7%0.7%
Flag of Libya.svg  Libya 6,890,53542.64%28.86%11.19%4.5%6.26%4.24%1.64%0.67%
Flag of Liechtenstein.svg  Liechtenstein 39,13734.0%37.0%10.0%4.0%6.0%6.5%1.8%0.7%
Flag of Lithuania.svg  Lithuania 2,731,46436.0%33.0%11.0%4.0%7.0%6.0%2.0%1.0%
Flag of Luxembourg.svg  Luxembourg [37] 628,38135.0%37.0%9.0%4.0%6.0%6.0%2.0%1.0%
Flag of Macau.svg  Macao 614,45841.5%26.1%25.4%6.3%0.33%0.17%0.15%0.05%
Flag of Malaysia.svg  Malaysia 32,652,08334.32%30.35%27.37%7.46%0.17%0.15%0.14%0.04%
Flag of Malta.svg  Malta 457,26738.0%41.0%7.0%3.0%5.0%4.5%1.0%0.5%
Flag of Mauritania.svg  Mauritania [38] 4,005,47546.3%26.68%17.47%3.85%2.8%1.6%1.1%0.2%
Flag of Mauritius.svg  Mauritius 1,379,36538.3%26.0%25.0%6.7%1.7%1.0%1.0%0.3%
Flag of Mexico.svg  Mexico [39] 128,649,56559.09%26.23%8.53%1.73%2.73%1.21%0.40%0.08%
Flag of Moldova.svg  Moldova [40] 3,364,49628.5%31.8%17.6%7.0%5.0%6.0%3.0%1.1%
Flag of Mongolia.svg  Mongolia [41] 3,198,91338.45%22.89%29.93%7.83%0.35%0.21%0.27%0.07%
Flag of Morocco.svg  Morocco 35,561,65442.3%40.8%14.0%4.0%4.5%3.1%1.5%0.4%
Flag of Myanmar.svg  Myanmar 56,590,07135.7%23.8%32.7%6.95%0.3%0.2%0.3%0.05%
Flag of Namibia.svg  Namibia [42] 2,678,19150.58%20.49%20.21%1.02%4.22%1.71%1.69%0.08%
Flag of Nepal.svg    Nepal 30,327,87735.2%36.3%27.1%2.6%0.3%0.2%0.2%0.1%
Flag of the Netherlands.svg  Netherlands [43] 17,280,39738.2%36.6%7.7%2.5%6.8%6.4%1.3%0.5%
Flag of New Zealand.svg  New Zealand [44] 4,925,47738.0%32.0%9.0%3.0%9.0%6.0%2.0%1.0%
Flag of Nicaragua.svg  Nicaragua [45] 6,243,93162.0%20.0%11.0%4.0%1.0%1.0%0.7%0.3%
Flag of Nigeria.svg  Nigeria [46] 219,463,86250.23%21.61%19.59%3.47%2.7%1.16%1.05%0.19%
Flag of North Korea.svg  North Korea 25,643,46627.15%31.08%30.15%11.32%0.08%0.1%0.1%0.03%
Flag of North Macedonia.svg  North Macedonia 2,125,97130.0%34.0%15.0%6.0%5.0%6.0%3.0%1.0%
Flag of Norway.svg  Norway [47] 5,467,43933.2%41.6%6.8%3.4%5.8%7.4%1.2%0.6%
Flag of Pakistan.svg  Pakistan [ citation needed ]238,181,03430.04%21.53%30.24%8.83%3.1%2.22%3.13%0.91%
Flag of Papua New Guinea.svg  Papua New Guinea 7,259,45648.0%37.2%9.6%2.8%1.0%0.8%0.4%0.2%
Flag of Paraguay.svg  Paraguay [48] 7,272,63956.07%28.32%4.72%1.38%5.89%2.97%0.49%0.15%
Flag of Peru.svg  Peru [49] 31,914,98970.0%18.4%7.8%1.6%1.4%0.5%0.28%0.02%
Flag of the Philippines.svg  Philippines [50] 109,180,81545.9%22.9%24.9%5.97%0.1%0.1%0.1%0.03%
Flag of Poland.svg  Poland [51] 38,282,32531.0%32.0%15.0%7.0%6.0%6.0%2.0%1.0%
Flag of Portugal.svg  Portugal [52] 10,302,67436.2%39.8%6.6%2.9%6.1%6.8%1.1%0.5%
Flag of the People's Republic of China.svg  People's Republic of China [53] 1,397,897,72034.2%28.0%27.8%8.9%0.3%0.4%0.3%0.1%
Flag of the Republic of China.svg  Taiwan 23,603,04943.9%25.9%23.9%6.0%0.17%0.1%0.01%0.02%
Flag of Romania.svg  Romania [54] 21,230,36228.0%37.0%14.0%7.0%5.0%6.0%2.0%1.0%
Flag of Russia.svg  Russia [55] 145,478,09736.0%31.0%19.0%2.1%6.0%4.0%1.0%0.9%
Flag of Saudi Arabia.svg  Saudi Arabia [56] 34,173,49847.8%23.9%17.0%4.0%4.0%2.0%1.0%0.3%
Flag of Serbia.svg  Serbia 7,012,16531.92%35.28%12.6%4.2%6.08%6.72%2.4%0.8%
Flag of Singapore.svg  Singapore [57] 6,209,66044.7%23.9%24.5%5.6%0.6%0.3%0.3%0.1%
Flag of Slovakia.svg  Slovakia [58] 5,440,60227.2%35.7%15.3%6.8%4.8%6.3%2.7%1.2%
Flag of Slovenia.svg  Slovenia 2,102,67831.0%33.0%12.0%6.0%7.0%7.0%3.0%1.0%
Flag of Somalia.svg  Somalia [59] 12,094,64052.8%19.36%12.32%3.52%7.2%2.64%1.68%0.48%
Flag of South Africa.svg  South Africa [60] 56,463,61739.0%32.0%12.0%3.0%6.0%5.0%2.0%1.0%
Flag of South Korea.svg  South Korea [61] 51,835,11026.8%34.4%24.0%14.4%0.1%0.1%0.1%0.1%
Flag of Sri Lanka.svg  Sri Lanka [62] 23,044,12343.42%21.0%25.78%5.13%2.12%1.04%1.25%0.26%
Flag of Spain.svg  Spain [63] 50,015,79235.0%36.0%8.0%2.5%9.0%7.0%2.0%0.5%
Flag of Sudan.svg  Sudan 45,561,55648.0%27.7%15.2%2.8%3.5%1.8%0.8%0.2%
Flag of Sweden.svg  Sweden [64] 10,202,49132.0%37.0%10.0%5.0%6.0%7.0%2.0%1.0%
Flag of Switzerland (Pantone).svg   Switzerland [65] 8,403,99435.0%38.0%8.0%4.0%6.0%7.0%1.0%1.0%
Flag of Syria.svg  Syria 19,398,44843.0%30.0%14.0%3.7%5.0%3.0%1.0%0.3%
Flag of Thailand.svg  Thailand 68,977,40040.8%16.9%36.8%4.97%0.2%0.1%0.2%0.03%
Flag of Tunisia.svg  Tunisia [66] 11,811,33541.86%28.21%16.38%4.55%4.14%2.79%1.62%0.45%
Flag of Turkey.svg  Turkey [67] 82,017,51429.8%37.8%14.2%7.2%3.9%4.7%1.6%0.8%
Flag of Uganda.svg  Uganda [68] 44,712,14349.29%24.11%20.29%4.41%1.01%0.49%0.41%0.09%
Flag of Ukraine.svg  Ukraine 43,922,93932.0%34.0%15.0%5.0%5.0%6.0%2.0%1.0%
Flag of the United Arab Emirates.svg  United Arab Emirates 9,992,08344.1%21.9%20.9%4.3%4.3%2.1%2.0%0.4%
Flag of the United Kingdom.svg  United Kingdom [69] 66,971,39535%30%8%2%13%8%2%1%
Flag of the United States.svg  United States [70] 334,998,39837.4%35.7%8.5%3.4%6.6%6.3%1.5%0.6%
Flag of Uzbekistan.svg  Uzbekistan [71] 30,842,79629.42%30.93%24.98%9.27%1.68%1.77%1.42%0.53%
Flag of Venezuela.svg  Venezuela [72] 28,644,60358.3%28.2%5.6%1.9%3.7%1.8%0.4%0.1%
Flag of Vietnam.svg  Vietnam 98,721,27541.7%21.9%30.8%4.98%0.3%0.1%0.2%0.02%
Flag of Yemen.svg  Yemen 29,884,40547.84%27.5%15.32%2.14%3.66%2.1%1.17%0.16%
Flag of Zimbabwe.svg  Zimbabwe 14,546,31463.3%18.5%14.6%0.99%1.7%0.5%0.4%0.01%
World 7,772,850,80539.81%27.40%20.86%5.65%2.68%2.10%1.14%0.37%

  50.0% and above  40.0–49.9%  30.0–39.9%  20.0–29.9%  10.0–19.9%  5.0–9.9%

Ethnic distribution of ABO (without Rh) blood types [73]
(This table has more entries than the table above but does not distinguish between Rh types.)
People groupO (%)A (%)B (%)AB (%)
Australian Aboriginals 613900
Abyssinians 4327255
Ainu (Japan)17323218
Albanians 3843136
Great Andamanese 960239
Arabs 3431296
Armenians 3150136
Asian Americans 4028275
Austrians 3644136
Bantus 4630195
Basques 514441
Belgians 474283
Bororo (Brazil) 100000
Brazilians 474193
Bulgarians 3244158
Bamar people 3624337
Buryats (Siberia)3321388
Bushmen 563492
Chinese-Canton 4623256
Chinese-Ningbo 3532259
Chinese-Yangzhou 31322710
Chinese-Peking 29273213
Chuvash 3029337
Croats 4234177
Czechs 3044189
Danes 4144114
Dutch 454393
Egyptians 3336248
English 474193
Inuit (Alaska)3844135
Inuit (Greenland)5436238
Estonians 3436238
Fijians 4434176
Finns 3441187
French 434773
Georgians 4637124
Germans 4143115
Greeks 4038149
Romani People (Hungary)29273510
Hawaiians 376121
Hindus (Bombay)5518261
Hungarians 3643198
Icelanders 5632103
Indians (India)4342114
Native Americans (US) 791641
Irish 5235103
Italians (Milan)4641113
Japanese 30382210
Jews (Germany)4241125
Jews (Poland)4240135
Kalmuks 26234111
Kikuyu (Kenya)6019201
Koreans 28323110
Sami people 296344
Latvians 3237247
Lithuanians 4034206
Malays 6218200
Māori 465410
Mayans 98111
Moros 6416200
Navajo Indians 732700
Nicobarese 749151
Norwegians 395084
Papuans (New Guinea)4127239
Persians 3833227
Peruvian Indians100000
Filipinos 4522276
Poles 3339209
Portuguese 355384
Romanians 3343168
Russians 3336238
Sardinians 5026195
Scots 5134123
Serbians 3842165
Shompen Nicobarese100000
Slovaks 4237165
South Africans 4540114
Spanish 3847105
Sudanese 6216210
Swedish 3645127
Swiss 385093
Tatars 28302913
Thais 3221369
Turks 4333196
Ukrainians 3740186
African Americans 4927204
White Americans 4540114
Vietnamese 4222305

Blood group B has its highest frequency in the Middle East, where it ranks as the largest share of the population. In Southeast Asia its share of the population is lowest, especially in Indonesia, secondarily in East Asia, Northern Asia and neighboring Central Asia, and its incidence diminishes both towards the east and the west, falling to single-digit percentages in Netherlands, Norway, Portugal and Switzerland. [74] [75] It is believed to have been entirely absent from Native American and Australian Aboriginal populations prior to the arrival of Europeans in those areas. [75] [76]

Blood group A is associated with high frequencies in Europe, especially in Scandinavia and Central Europe, although its highest frequencies occur in some Australian Aboriginal populations and the Blackfoot Indians of Montana, US. [77] [78]

Maps of ABO alleles among native populations

In the ABO blood group system, there are three alleles: i, IA, and IB. As both IA and IB are dominant over i, only ii people have type O blood. Individuals with IAIA or IAi have type A blood, and individuals with IBIB or IBi have type B. Those with IAIB have type AB.

See also

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The ABO blood group system is used to denote the presence of one, both, or neither of the A and B antigens on erythrocytes. For human blood transfusions, it is the most important of the 44 different blood type classification systems currently recognized by the International Society of Blood Transfusions (ISBT) as of December 2022. A mismatch in this, or any other serotype, can cause a potentially fatal adverse reaction after a transfusion, or an unwanted immune response to an organ transplant. The associated anti-A and anti-B antibodies are usually IgM antibodies, produced in the first years of life by sensitization to environmental substances such as food, bacteria, and viruses.

<span class="mw-page-title-main">Cross-matching</span> Testing before a blood transfusion

Cross-matching or crossmatching is a test performed before a blood transfusion as part of blood compatibility testing. Normally, this involves adding the recipient's blood plasma to a sample of the donor's red blood cells. If the blood is incompatible, the antibodies in the recipient's plasma will bind to antigens on the donor red blood cells. This antibody-antigen reaction can be detected through visible clumping or destruction of the red blood cells, or by reaction with anti-human globulin. Along with blood typing of the donor and recipient and screening for unexpected blood group antibodies, cross-matching is one of a series of steps in pre-transfusion testing. In some circumstances, an electronic cross-match can be performed by comparing records of the recipient's ABO and Rh blood type against that of the donor sample. In emergencies, blood may be issued before cross-matching is complete. Cross-matching is also used to determine compatibility between a donor and recipient in organ transplantation.

In ABO hemolytic disease of the newborn maternal IgG antibodies with specificity for the ABO blood group system pass through the placenta to the fetal circulation where they can cause hemolysis of fetal red blood cells which can lead to fetal anemia and HDN. In contrast to Rh disease, about half of the cases of ABO HDN occur in a firstborn baby and ABO HDN does not become more severe after further pregnancies.

Hemolytic disease of the newborn (anti-Kell1) is the second most common cause of severe hemolytic disease of the newborn (HDN) after Rh disease. Anti-Kell1 is becoming relatively more important as prevention of Rh disease is also becoming more effective.

Hemolytic disease of the newborn (anti-Rhc) can range from a mild to a severe disease. It is the third most common cause of severe HDN. Rh disease is the most common and hemolytic disease of the newborn (anti-Kell) is the second most common cause of severe HDN. It occurs more commonly in women who are Rh D negative.

The term human blood group systems is defined by the International Society of Blood Transfusion (ISBT) as systems in the human species where cell-surface antigens—in particular, those on blood cells—are "controlled at a single gene locus or by two or more very closely linked homologous genes with little or no observable recombination between them", and include the common ABO and Rh (Rhesus) antigen systems, as well as many others; 44 human systems are identified as of December 2022.

The Kell antigen system is a human blood group system, that is, a group of antigens on the human red blood cell surface which are important determinants of blood type and are targets for autoimmune or alloimmune diseases which destroy red blood cells. The Kell antigens are K, k, Kpa, Kpb, Jsa and Jsb. The Kell antigens are peptides found within the Kell protein, a 93-kilodalton transmembrane zinc-dependent endopeptidase which is responsible for cleaving endothelin-3.

<span class="mw-page-title-main">Rh blood group system</span> Human blood group system involving 49 blood antigens

The Rh blood group system is a human blood group system. It contains proteins on the surface of red blood cells. After the ABO blood group system, it is the most likely to be involved in transfusion reactions. The Rh blood group system consisted of 49 defined blood group antigens in 2005. As of 2023, there are over 50 antigens among which the five antigens D, C, c, E, and e are the most important. There is no d antigen. Rh(D) status of an individual is normally described with a positive (+) or negative (−) suffix after the ABO type. The terms Rh factor, Rh positive, and Rh negative refer to the Rh(D) antigen only. Antibodies to Rh antigens can be involved in hemolytic transfusion reactions and antibodies to the Rh(D) and Rh antigens confer significant risk of hemolytic disease of the newborn.

Animal erythrocytes have cell surface antigens that undergo polymorphism and give rise to blood types. Antigens from the human ABO blood group system are also found in apes and Old World monkeys, and the types trace back to the origin of humanoids. Other animal blood sometimes agglutinates with human blood group reagents, but the structure of the blood group antigens in animals is not always identical to those typically found in humans. The classification of most animal blood groups therefore uses different blood typing systems to those used for classification of human blood.

<span class="mw-page-title-main">Packed red blood cells</span> Red blood cells separated for blood transfusion

Packed red blood cells, also known as packed cells, are red blood cells that have been separated for blood transfusion. The packed cells are typically used in anemia that is either causing symptoms or when the hemoglobin is less than usually 70–80 g/L. In adults, one unit brings up hemoglobin levels by about 10 g/L. Repeated transfusions may be required in people receiving cancer chemotherapy or who have hemoglobin disorders. Cross-matching is typically required before the blood is given. It is given by injection into a vein.

Hemolytic disease of the newborn (anti-RhE) is caused by the anti-RhE antibody of the Rh blood group system. The anti-RhE antibody can be naturally occurring, or arise following immune sensitization after a blood transfusion or pregnancy.

<span class="mw-page-title-main">RHAG</span> Protein-coding gene in the species Homo sapiens

Rh-associated glycoprotein (RHAG) is an ammonia transporter protein that in humans is encoded by the RHAG gene. RHAG has also recently been designated CD241. Mutations in the RHAG gene can cause stomatocytosis.

This page is currently under construction.

<span class="mw-page-title-main">RHD (gene)</span> Protein-coding gene in the species Homo sapiens

Rh blood group, D antigen also known as Rh polypeptide 1 (RhPI) or cluster of differentiation 240D (CD240D) is a protein that in humans is encoded by the RHD gene.

<span class="mw-page-title-main">Blood compatibility testing</span> Testing to identify incompatibilities between blood types

Blood compatibility testing is conducted in a medical laboratory to identify potential incompatibilities between blood group systems in blood transfusion. It is also used to diagnose and prevent some complications of pregnancy that can occur when the baby has a different blood group from the mother. Blood compatibility testing includes blood typing, which detects the antigens on red blood cells that determine a person's blood type; testing for unexpected antibodies against blood group antigens ; and, in the case of blood transfusions, mixing the recipient's plasma with the donor's red blood cells to detect incompatibilities (crossmatching). Routine blood typing involves determining the ABO and RhD type, and involves both identification of ABO antigens on red blood cells and identification of ABO antibodies in the plasma. Other blood group antigens may be tested for in specific clinical situations.

The Lan blood group system is a human blood group defined by the presence or absence of the Lan antigen on a person's red blood cells. More than 99.9% of people are positive for the Lan antigen. Individuals with the rare Lan-negative blood type, which is a recessive trait, can produce an anti-Lan antibody when exposed to Lan-positive blood. Anti-Lan antibodies may cause transfusion reactions on subsequent exposures to Lan-positive blood, and have also been implicated in mild cases of hemolytic disease of the newborn. However, the clinical significance of the antibody is variable. The antigen was first described in 1961, and Lan was officially designated a blood group in 2012.

<span class="mw-page-title-main">Monocyte monolayer assay</span> Laboratory test for clinically significant alloantibodies

The monocyte monolayer assay (MMA) is used to determine the clinical significance of alloantibodies produced by blood transfusion recipients. The assay is used to assess the potential for intravascular hemolysis when incompatible cellular blood products are transfused to the anemic patient. When donor cells possess substances that are not produced by the recipient, the recipient's immune system produces antibodies against the substance; these are called alloantibodies. Specific white blood cells, called monocytes, are tasked with ingesting foreign material and become activated during certain inflammatory events. These activated monocytes come in contact with antibody-sensitized red blood cells (RBC) and may or may not exhibit phagocytosis (ingestion) and destroy the donor red blood cells. If monocytes destroy the RBC, the antibody attached to those RBC is considered clinically significant.

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