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Home	Populations	HLA	KIR	Other polymorphisms	HLA-ADR	KDDB

MIC » MIC Allele Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find MIC allele / gene frequencies that match your criteria. Remember at least one option must be selected.

Locus:  All loci MICA MICB Starting Allele:  A4 A5 A5.1 A6 A9 A9.1 A10 MICA*001 MICA*002 MICA*002:01 MICA*002:02 MICA*002:03 MICA*002:04 MICA*004 MICA*005 MICA*006 MICA*007 MICA*007:01 MICA*007:02 MICA*007:03 MICA*007:04 MICA*007:05 MICA*007:06 MICA*008 MICA*008:01 MICA*008:01:01 MICA*008:01:02 MICA*008:02 MICA*008:03 MICA*008:04 MICA*008:05 MICA*009 MICA*009:01 MICA*009:02 MICA*010 MICA*010:01 MICA*010:02 MICA*011 MICA*012 MICA*012:01 MICA*012:02 MICA*012:03 MICA*012:04 MICA*013 MICA*014 MICA*015 MICA*016 MICA*017 MICA*018 MICA*018:01 MICA*018:02 MICA*019 MICA*020 MICA*022 MICA*023 MICA*024 MICA*025 MICA*026 MICA*027 MICA*028 MICA*029 MICA*030 MICA*031 MICA*032 MICA*033 MICA*034 MICA*035 MICA*036 MICA*037 MICA*038 MICA*039 MICA*040 MICA*041 MICA*042 MICA*043 MICA*044 MICA*045 MICA*046 MICA*047 MICA*048 MICA*049 MICA*050 MICA*051 MICA*052 MICA*053 MICA*054 MICA*055 MICA*056 MICA*057 MICA*058 MICA*059 MICA*060 MICA*061 MICA*062 MICA*063N MICA*064N MICA*065 MICA*066 MICA*067 MICA*068 MICA*069 MICA*070 MICA*072 MICA*073 MICA*074 MICA*075 MICA*076 MICA*077 MICA*078 MICA*079 MICA*080 MICA*081 MICA*082 MICA*083 MICA*084 MICA*085 MICB*001 MICB*002 MICB*002:01 MICB*002:01:01 MICB*002:01:02 MICB*003 MICB*004 MICB*004:01 MICB*004:01:01 MICB*004:01:02 MICB*005 MICB*005:01 MICB*005:02 MICB*005:02:01 MICB*005:02:02 MICB*005:02:03 MICB*005:02:04 MICB*005:03 MICB*005:04 MICB*005:05 MICB*005:06 MICB*005:07 MICB*005:08 MICB*006 MICB*007 MICB*008 MICB*009N MICB*010 MICB*011 MICB*012 MICB*013 MICB*014 MICB*015 MICB*016 MICB*018 MICB*019 MICB*020 MICB*021N MICB*022 MICB*023 MICB*024 MICB*025 MICB*026 MICB*027 MICB*028 MICB*029 MICB*030 Ending Allele:  A4 A5 A5.1 A6 A9 A9.1 A10 MICA*001 MICA*002 MICA*002:01 MICA*002:02 MICA*002:03 MICA*002:04 MICA*004 MICA*005 MICA*006 MICA*007 MICA*007:01 MICA*007:02 MICA*007:03 MICA*007:04 MICA*007:05 MICA*007:06 MICA*008 MICA*008:01 MICA*008:01:01 MICA*008:01:02 MICA*008:02 MICA*008:03 MICA*008:04 MICA*008:05 MICA*009 MICA*009:01 MICA*009:02 MICA*010 MICA*010:01 MICA*010:02 MICA*011 MICA*012 MICA*012:01 MICA*012:02 MICA*012:03 MICA*012:04 MICA*013 MICA*014 MICA*015 MICA*016 MICA*017 MICA*018 MICA*018:01 MICA*018:02 MICA*019 MICA*020 MICA*022 MICA*023 MICA*024 MICA*025 MICA*026 MICA*027 MICA*028 MICA*029 MICA*030 MICA*031 MICA*032 MICA*033 MICA*034 MICA*035 MICA*036 MICA*037 MICA*038 MICA*039 MICA*040 MICA*041 MICA*042 MICA*043 MICA*044 MICA*045 MICA*046 MICA*047 MICA*048 MICA*049 MICA*050 MICA*051 MICA*052 MICA*053 MICA*054 MICA*055 MICA*056 MICA*057 MICA*058 MICA*059 MICA*060 MICA*061 MICA*062 MICA*063N MICA*064N MICA*065 MICA*066 MICA*067 MICA*068 MICA*069 MICA*070 MICA*072 MICA*073 MICA*074 MICA*075 MICA*076 MICA*077 MICA*078 MICA*079 MICA*080 MICA*081 MICA*082 MICA*083 MICA*084 MICA*085 MICB*001 MICB*002 MICB*002:01 MICB*002:01:01 MICB*002:01:02 MICB*003 MICB*004 MICB*004:01 MICB*004:01:01 MICB*004:01:02 MICB*005 MICB*005:01 MICB*005:02 MICB*005:02:01 MICB*005:02:02 MICB*005:02:03 MICB*005:02:04 MICB*005:03 MICB*005:04 MICB*005:05 MICB*005:06 MICB*005:07 MICB*005:08 MICB*006 MICB*007 MICB*008 MICB*009N MICB*010 MICB*011 MICB*012 MICB*013 MICB*014 MICB*015 MICB*016 MICB*018 MICB*019 MICB*020 MICB*021N MICB*022 MICB*023 MICB*024 MICB*025 MICB*026 MICB*027 MICB*028 MICB*029 MICB*030    (A4, A5, A5.1, etc. refer to data on frequencies of microsatellites)
Select specific alleles    (If you want to pick specific alleles, make sure your alleles are within the Start-End range above)
Clear Select your alleles   Clear All   Hide A4 A5 A5.1 A6 A9 A9.1 A10 MICA*001 MICA*002 MICA*002:01 MICA*002:02 MICA*002:03 MICA*002:04 MICA*004 MICA*005 MICA*006 MICA*007 MICA*007:01 MICA*007:02 MICA*007:03 MICA*007:04 MICA*007:05 MICA*007:06 MICA*008 MICA*008:01 MICA*008:01:01 MICA*008:01:02 MICA*008:02 MICA*008:03 MICA*008:04 MICA*008:05 MICA*009 MICA*009:01 MICA*009:02 MICA*010 MICA*010:01 MICA*010:02 MICA*011 MICA*012 MICA*012:01 MICA*012:02 MICA*012:03 MICA*012:04 MICA*013 MICA*014 MICA*015 MICA*016 MICA*017 MICA*018 MICA*018:01 MICA*018:02 MICA*019 MICA*020 MICA*022 MICA*023 MICA*024 MICA*025 MICA*026 MICA*027 MICA*028 MICA*029 MICA*030 MICA*031 MICA*032 MICA*033 MICA*034 MICA*035 MICA*036 MICA*037 MICA*038 MICA*039 MICA*040 MICA*041 MICA*042 MICA*043 MICA*044 MICA*045 MICA*046 MICA*047 MICA*048 MICA*049 MICA*050 MICA*051 MICA*052 MICA*053 MICA*054 MICA*055 MICA*056 MICA*057 MICA*058 MICA*059 MICA*060 MICA*061 MICA*062 MICA*063N MICA*064N MICA*065 MICA*066 MICA*067 MICA*068 MICA*069 MICA*070 MICA*072 MICA*073 MICA*074 MICA*075 MICA*076 MICA*077 MICA*078 MICA*079 MICA*080 MICA*081 MICA*082 MICA*083 MICA*084 MICA*085 MICB*001 MICB*002 MICB*002:01 MICB*002:01:01 MICB*002:01:02 MICB*003 MICB*004 MICB*004:01 MICB*004:01:01 MICB*004:01:02 MICB*005 MICB*005:01 MICB*005:02 MICB*005:02:01 MICB*005:02:02 MICB*005:02:03 MICB*005:02:04 MICB*005:03 MICB*005:04 MICB*005:05 MICB*005:06 MICB*005:07 MICB*005:08 MICB*006 MICB*007 MICB*008 MICB*009N MICB*010 MICB*011 MICB*012 MICB*013 MICB*014 MICB*015 MICB*016 MICB*018 MICB*019 MICB*020 MICB*021N MICB*022 MICB*023 MICB*024 MICB*025 MICB*026 MICB*027 MICB*028 MICB*029 MICB*030
Population:  All populations Argentina Formosa Toba MIC (n=94) Argentina Formosa Wichi MIC (n=42) Brazil Limao Verde and Corrego Reserve Terena MIC (n=60) Brazil Mato Grosso do Sul Kaiowa MIC (n=174) Brazil Mato Grosso do Sul Nandeva MIC (n=89) Brazil Parana Guarani M'byá MIC (n=100) Brazil Parana Japanese MIC (n=190) Brazil Parana Kaingang MIC (n=245) Brazil Parana Mixed MIC (n=201) Brazil Sao Paulo Mixed MIC (n=200) China Baotou Han MIC (n=104) China Guangxi Zhuang MIC (n=209) China Guangzhou Han MIC (n=106) China Hui MIC (n=44) China Hunan Province Han MIC (n=85) China North Han MIC (n=32) China Shanghai Han MIC (n=183) China Sichuan Province Han MIC (n=200) China Uygur MIC (n=49) China Xinjiang Province Uygur MIC (n=66) China Yunnan Province Dai MIC (n=41) China Zhangjiajie Tujias MIC (n=187) China Zhejiang Han MIC (n=400) China Zhejiang Province Han MIC (n=100) England Bedfordshire MIC (n=354) England MIC (n=118) England Northwest MIC (n=250) Germany MIC (n=154) Greece Athens MIC (n=27) Iran Tehran MIC (n=18) Italy MIC (n=101) Italy MIC pop 2 (n=98) Italy Perugia MIC (n=158) Italy Rome MIC (n=26) Japan MIC (n=130) Japan MIC pop 2 (n=152) Japan MIC pop 3 (n=114) Japan Tokyo MIC (n=352) Kazakhstan MIC (n=38) Latvia MIC (n=108) Morocco Nador Metalsa MIC (n=82) Nigeria South Efik MIC (n=32) Nigeria South Igbo MIC (n=46) Nigeria South Yoruba MIC (n=74) Saudi Arabia Riyadh MIC (n=18) Slovenia MIC (n=70) South Korea MIC (n=199) South Korea Seoul MIC (n=139) Spain Majorca Chueta MIC (n=95) Spain Majorca MIC (n=165) Spain Malaga MIC (n=241) Spain MIC (n=116) Spain MIC pop 2 (n=342) Spain Murcia MIC (n=154) Sweden MIC (n=503) Thailand North East MIC (n=255) Thailand North East MIC pop 2 (n=100) Turkey MIC (n=65) USA African American MIC (n=201) USA African American MIC pop 2 (n=39) USA Boston African American MIC (n=60) USA Caucasian MIC (n=103) USA Caucasian MIC pop2 (n=242) Wales MIC (n=166) Country:  All countries Argentina Brazil China England Germany Greece Iran Italy Japan Kazakhstan Korea, South Latvia Morocco Nigeria Saudi Arabia Slovenia South Africa Spain Sweden Thailand Turkey United States Wales Source of dataset:  All Sources Literature Proceedings of IHWs Unpublished
Region:  All regions Central Asia Europe North Africa North America North-East Asia South and Central America South-East Asia Sub-Saharan Africa Western Asia Ethnic Origin:  All ethnicities Amerindian Arab Asian Black Caucasoid Mixed Oriental    Type of study:  All Studies Anthropology Study Blood Donor Bone Marrow Registry Controls for Disease Study Other Sort by:  Allele/Gene Allele/Gene, Highest to Lowest Frequency Population Population, Highest to Lowest Frequency
Sample Size:  = <> < > <= >= All 50 100 500 1000 5000     Sample Year:  = <> < > <= >= All years 1995 1996 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2011 2012 2013 2014 2017     Level of resolution :  = <> < > <= >= All 0 1 2 3  (Click here for further details)
Show frequencies: All Only positives Only negatives

Displaying 301 to 400 (from 423) records

Pages:

1 2 3 4 5 of 5

Line	Allele	Population		% of individuals that have the allele		Allele Frequency (3_decimals)		Sample Size	IMGT/HLA Database¹	Distribution²	MIC-HLA Associations³
301	MICA*018		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
302	MICA*018		Brazil Mato Grosso do Sul Nandeva MIC			0.057		89	See
303	MICA*018		Brazil Parana Guarani M'byá MIC			0.000		100	See
304	MICA*018		Brazil Parana Kaingang MIC			0.000		245	See
305	MICA*018		China Baotou Han MIC			0.005		104	See
306	MICA*018		Morocco Nador Metalsa MIC			0.024		82	See
307	MICA*018		Spain Majorca Chueta MIC			0.042		95	See
308	MICA*018		Spain Majorca MIC			0.051		165	See
309	MICA*018		Spain Murcia MIC			0.025		154	See
310	MICA*018		Thailand North East MIC			0.061		255	See
311	MICA*019		Argentina Formosa Toba MIC			0.000		94	See
312	MICA*019		Argentina Formosa Wichi MIC			0.000		42	See
313	MICA*019		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
314	MICA*019		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
315	MICA*019		Brazil Mato Grosso do Sul Nandeva MIC			0.006		89	See
316	MICA*019		Brazil Parana Guarani M'byá MIC			0.000		100	See
317	MICA*019		Brazil Parana Kaingang MIC			0.000		245	See
318	MICA*019		China Baotou Han MIC			0.039		104	See
319	MICA*019		China Guangxi Zhuang MIC			0.103		209	See
320	MICA*019		Japan MIC			0.035		130	See
321	MICA*019		Morocco Nador Metalsa MIC			0.012		82	See
322	MICA*019		Spain Majorca Chueta MIC			0.021		95	See
323	MICA*019		Spain Majorca MIC			0.018		165	See
324	MICA*019		Thailand North East MIC			0.153		255	See
325	MICA*020		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
326	MICA*020		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
327	MICA*020		Brazil Parana Guarani M'byá MIC			0.005		100	See
328	MICA*020		Brazil Parana Kaingang MIC			0.165		245	See
329	MICA*020		Thailand North East MIC			0.004		255	See
330	MICA*023		Spain Murcia MIC			0.012		154	See
331	MICA*024		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
332	MICA*024		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
333	MICA*024		Brazil Parana Guarani M'byá MIC			0.000		100	See
334	MICA*024		Brazil Parana Kaingang MIC			0.000		245	See
335	MICA*026		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
336	MICA*026		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
337	MICA*026		Brazil Parana Guarani M'byá MIC			0.000		100	See
338	MICA*026		Brazil Parana Kaingang MIC			0.000		245	See
339	MICA*026		Thailand North East MIC			0.014		255	See
340	MICA*027		Argentina Formosa Toba MIC			0.309		94	See
341	MICA*027		Argentina Formosa Wichi MIC			0.310		42	See
342	MICA*027		Brazil Limao Verde and Corrego Reserve Terena MIC			0.352		60	See
343	MICA*027		Brazil Mato Grosso do Sul Kaiowa MIC			0.112		174	See
344	MICA*027		Brazil Mato Grosso do Sul Nandeva MIC			0.136		89	See
345	MICA*027		Brazil Parana Guarani M'byá MIC			0.395		100	See
346	MICA*027		Brazil Parana Kaingang MIC			0.008		245	See
347	MICA*027		China Baotou Han MIC			0.053		104	See
348	MICA*027		China Guangxi Zhuang MIC			0.019		209	See
349	MICA*027		Morocco Nador Metalsa MIC			0.006		82	See
350	MICA*027		Spain Murcia MIC			0.025		154	See
351	MICA*029		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
352	MICA*029		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
353	MICA*029		Brazil Parana Guarani M'byá MIC			0.000		100	See
354	MICA*029		Brazil Parana Kaingang MIC			0.000		245	See
355	MICA*030		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
356	MICA*030		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
357	MICA*030		Brazil Parana Guarani M'byá MIC			0.000		100	See
358	MICA*030		Brazil Parana Kaingang MIC			0.000		245	See
359	MICA*030		Spain Murcia MIC			0.012		154	See
360	MICA*033		China Baotou Han MIC			0.005		104	See
361	MICA*033		China Guangxi Zhuang MIC			0.007		209	See
362	MICA*033		Spain Murcia MIC			0.012		154	See
363	MICA*035		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
364	MICA*035		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
365	MICA*035		Brazil Parana Guarani M'byá MIC			0.000		100	See
366	MICA*035		Brazil Parana Kaingang MIC			0.000		245	See
367	MICA*035		Morocco Nador Metalsa MIC			0.006		82	See
368	MICA*041		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
369	MICA*041		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
370	MICA*041		Brazil Parana Guarani M'byá MIC			0.000		100	See
371	MICA*041		Brazil Parana Kaingang MIC			0.000		245	See
372	MICA*041		Nigeria South Efik MIC			0.031		32	See
373	MICA*041		Nigeria South Igbo MIC			0.098		46	See
374	MICA*041		Nigeria South Yoruba MIC			0.020		74	See
375	MICA*041		USA African American MIC pop 2			0.013		39	See
376	MICA*041		USA Boston African American MIC			0.158		60	See
377	MICA*043		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
378	MICA*043		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
379	MICA*043		Brazil Parana Guarani M'byá MIC			0.000		100	See
380	MICA*043		Brazil Parana Kaingang MIC			0.000		245	See
381	MICA*044		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
382	MICA*044		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
383	MICA*044		Brazil Parana Guarani M'byá MIC			0.000		100	See
384	MICA*044		Brazil Parana Kaingang MIC			0.000		245	See
385	MICA*045		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
386	MICA*045		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
387	MICA*045		Brazil Parana Guarani M'byá MIC			0.000		100	See
388	MICA*045		Brazil Parana Kaingang MIC			0.000		245	See
389	MICA*045		China Baotou Han MIC			0.082		104	See
390	MICA*045		China Guangxi Zhuang MIC			0.172		209	See
391	MICA*046		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
392	MICA*046		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
393	MICA*046		Brazil Parana Guarani M'byá MIC			0.000		100	See
394	MICA*046		Brazil Parana Kaingang MIC			0.000		245	See
395	MICA*046		Morocco Nador Metalsa MIC			0.012		82	See
396	MICA*046		Spain Murcia MIC			0.006		154	See
397	MICA*047		Argentina Formosa Toba MIC			0.000		94	See
398	MICA*047		Argentina Formosa Wichi MIC			0.000		42	See
399	MICA*047		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
400	MICA*048		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See

Notes:

- 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 (Individuals / n).
- Allele Frequencies shown in green were calculated from the % of the individuals carrying the allele, assuming Hardy-Weinberg proportions.
   AF = 1-square_root(1-PF)
   PF = 1-(1-AF)²
   AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ MICA-HLA-B Associations - Find MICA-HLA-B associations with this allele.