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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 201 to 300 (from 813) records

Pages:

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Line	Allele	Population		% of individuals that have the allele		Allele Frequency (3_decimals)		Sample Size	IMGT/HLA Database¹	Distribution²	MIC-HLA Associations³
201	MICA*004		Argentina Formosa Toba MIC			0.011		94	See
202	MICA*004		Argentina Formosa Wichi MIC			0.000		42	See
203	MICA*004		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
204	MICA*004		Brazil Mato Grosso do Sul Kaiowa MIC			0.003		174	See
205	MICA*004		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
206	MICA*004		Brazil Parana Guarani M'byá MIC			0.000		100	See
207	MICA*004		Brazil Parana Japanese MIC			0.053		190	See
208	MICA*004		Brazil Parana Kaingang MIC			0.020		245	See
209	MICA*004		Brazil Parana Mixed MIC			0.119		201	See
210	MICA*004		Brazil Sao Paulo Mixed MIC		27.0	0.146		200	See
211	MICA*004		China Baotou Han MIC			0.048		104	See
212	MICA*004		China Shanghai Han MIC			0.020		183	See
213	MICA*004		China Xinjiang Province Uygur MIC			0.030		66	See
214	MICA*004		China Yunnan Province Dai MIC			0.000		41	See
215	MICA*004		China Zhangjiajie Tujias MIC			0.000		187	See
216	MICA*004		China Zhejiang Province Han MIC			0.005		100	See
217	MICA*004		England Bedfordshire MIC			0.086		354	See
218	MICA*004		England MIC		17.0	0.100		118	See
219	MICA*004		England Northwest MIC		16.0	0.083		250	See
220	MICA*004		Japan MIC			0.092		130	See
221	MICA*004		Japan MIC pop 2			0.082		152	See
222	MICA*004		Japan MIC pop 3			0.111		114	See
223	MICA*004		Morocco Nador Metalsa MIC			0.232		82	See
224	MICA*004		Nigeria South Efik MIC			0.219		32	See
225	MICA*004		Nigeria South Igbo MIC			0.130		46	See
226	MICA*004		Nigeria South Yoruba MIC			0.270		74	See
227	MICA*004		Slovenia MIC		12.9	0.067		70	See
228	MICA*004		South Korea MIC			0.123		199	See
229	MICA*004		South Korea Seoul MIC			0.083		139	See
230	MICA*004		Spain Majorca Chueta MIC			0.200		95	See
231	MICA*004		Spain Majorca MIC			0.176		165	See
232	MICA*004		Spain Murcia MIC			0.149		154	See
233	MICA*004		Thailand North East MIC			0.035		255	See
234	MICA*004		Turkey MIC		12.3	0.062		65	See
235	MICA*004		USA African American MIC			0.187		201	See
236	MICA*004		USA African American MIC pop 2			0.295		39	See
237	MICA*004		USA Boston African American MIC			0.233		60	See
238	MICA*004		USA Caucasian MIC			0.055		103	See
239	MICA*004		USA Caucasian MIC pop2			0.060		242	See
240	MICA*004		Wales MIC		9.0	0.045		166	See
241	MICA*005		China Shanghai Han MIC			0.010		183	See
242	MICA*005		China Xinjiang Province Uygur MIC			0.000		66	See
243	MICA*005		China Yunnan Province Dai MIC			0.010		41	See
244	MICA*005		China Zhangjiajie Tujias MIC			0.000		187	See
245	MICA*005		England Northwest MIC		0.0	0.000		250	See
246	MICA*005		Spain Murcia MIC			0.006		154	See
247	MICA*005		Wales MIC		0.0	0.000		166	See
248	MICA*006		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
249	MICA*006		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
250	MICA*006		Brazil Parana Guarani M'byá MIC			0.000		100	See
251	MICA*006		Brazil Parana Japanese MIC			0.003		190	See
252	MICA*006		Brazil Parana Kaingang MIC			0.000		245	See
253	MICA*006		Brazil Parana Mixed MIC			0.012		201	See
254	MICA*006		Brazil Sao Paulo Mixed MIC		1.5	0.008		200	See
255	MICA*006		China Zhangjiajie Tujias MIC			0.000		187	See
256	MICA*006		England MIC		5.0	0.025		118	See
257	MICA*006		England Northwest MIC		0.4	0.002		250	See
258	MICA*006		Slovenia MIC		0.0	0.000		70	See
259	MICA*006		South Korea Seoul MIC			0.014		139	See
260	MICA*006		Spain Majorca Chueta MIC			0.000		95	See
261	MICA*006		Spain Majorca MIC			0.012		165	See
262	MICA*006		Turkey MIC		4.6	0.023		65	See
263	MICA*006		USA Caucasian MIC pop2			0.000		242	See
264	MICA*006		Wales MIC		0.6	0.003		166	See
265	MICA*007		Brazil Parana Mixed MIC			0.017		201	See
266	MICA*007		Brazil Sao Paulo Mixed MIC		2.5	0.013		200	See
267	MICA*007		China Shanghai Han MIC			0.070		183	See
268	MICA*007		China Xinjiang Province Uygur MIC			0.020		66	See
269	MICA*007		China Yunnan Province Dai MIC			0.070		41	See
270	MICA*007		China Zhangjiajie Tujias MIC			0.000		187	See
271	MICA*007		England MIC		10.0	0.051		118	See
272	MICA*007		England Northwest MIC		7.6	0.039		250	See
273	MICA*007		Japan MIC			0.012		130	See
274	MICA*007		Japan MIC pop 2			0.013		152	See
275	MICA*007		Japan MIC pop 3			0.009		114	See
276	MICA*007		Slovenia MIC		11.4	0.059		70	See
277	MICA*007		Spain Majorca Chueta MIC			0.068		95	See
278	MICA*007		Spain Majorca MIC			0.045		165	See
279	MICA*007		Spain Murcia MIC			0.012		154	See
280	MICA*007		Thailand North East MIC			0.000		255	See
281	MICA*007		Turkey MIC		9.2	0.046		65	See
282	MICA*007		USA Caucasian MIC pop2			0.020		242	See
283	MICA*007:01		Argentina Formosa Toba MIC			0.000		94	See
284	MICA*007:01		Argentina Formosa Wichi MIC			0.012		42	See
285	MICA*007:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
286	MICA*007:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
287	MICA*007:01		Brazil Mato Grosso do Sul Nandeva MIC			0.011		89	See
288	MICA*007:01		Brazil Parana Guarani M'byá MIC			0.000		100	See
289	MICA*007:01		Brazil Parana Kaingang MIC			0.000		245	See
290	MICA*007:01		China Baotou Han MIC			0.014		104	See
291	MICA*007:01		China Zhangjiajie Tujias MIC			0.000		187	See
292	MICA*007:01		China Zhejiang Province Han MIC			0.010		100	See
293	MICA*007:01		England Bedfordshire MIC			0.049		354	See
294	MICA*007:01		Morocco Nador Metalsa MIC			0.024		82	See
295	MICA*007:01		South Korea MIC			0.033		199	See
296	MICA*007:01		South Korea Seoul MIC			0.040		139	See
297	MICA*007:01		USA African American MIC			0.007		201	See
298	MICA*007:01		USA Caucasian MIC			0.040		103	See
299	MICA*007:01		Wales MIC		7.2	0.042		166	See
300	MICA*007:02		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.