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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 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
201	MICA*009:01		Brazil Parana Kaingang MIC			0.002		245	See
202	MICA*009:01		China Baotou Han MIC			0.120		104	See
203	MICA*009:01		China Guangxi Zhuang MIC			0.024		209	See
204	MICA*009:01		Morocco Nador Metalsa MIC			0.085		82	See
205	MICA*009:02		Argentina Formosa Toba MIC			0.016		94	See
206	MICA*009:02		Argentina Formosa Wichi MIC			0.000		42	See
207	MICA*009:02		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
208	MICA*009:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
209	MICA*009:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
210	MICA*009:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
211	MICA*009:02		Brazil Parana Kaingang MIC			0.000		245	See
212	MICA*009:02		China Baotou Han MIC			0.005		104	See
213	MICA*009:02		Morocco Nador Metalsa MIC			0.140		82	See
214	MICA*009:02		Nigeria South Efik MIC			0.078		32	See
215	MICA*009:02		Nigeria South Igbo MIC			0.000		46	See
216	MICA*009:02		Nigeria South Yoruba MIC			0.007		74	See
217	MICA*009:02		USA African American MIC pop 2			0.000		39	See
218	MICA*009:02		USA Boston African American MIC			0.033		60	See
219	MICA*010		Argentina Formosa Toba MIC			0.277		94	See
220	MICA*010		Argentina Formosa Wichi MIC			0.190		42	See
221	MICA*010		Brazil Limao Verde and Corrego Reserve Terena MIC			0.172		60	See
222	MICA*010		Brazil Mato Grosso do Sul Kaiowa MIC			0.141		174	See
223	MICA*010		Brazil Mato Grosso do Sul Nandeva MIC			0.341		89	See
224	MICA*010		Brazil Parana Guarani M'byá MIC			0.330		100	See
225	MICA*010		Brazil Parana Kaingang MIC			0.265		245	See
226	MICA*010		China Baotou Han MIC			0.188		104	See
227	MICA*010		China Guangxi Zhuang MIC			0.220		209	See
228	MICA*010		Japan MIC			0.108		130	See
229	MICA*010		Spain Majorca Chueta MIC			0.005		95	See
230	MICA*010		Spain Majorca MIC			0.018		165	See
231	MICA*010		Spain Murcia MIC			0.045		154	See
232	MICA*010		Thailand North East MIC			0.182		255	See
233	MICA*010		USA Caucasian MIC pop2			0.050		242	See
234	MICA*011		Argentina Formosa Toba MIC			0.005		94	See
235	MICA*011		Argentina Formosa Wichi MIC			0.000		42	See
236	MICA*011		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
237	MICA*011		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
238	MICA*011		Brazil Mato Grosso do Sul Nandeva MIC			0.006		89	See
239	MICA*011		Brazil Parana Guarani M'byá MIC			0.000		100	See
240	MICA*011		Brazil Parana Kaingang MIC			0.008		245	See
241	MICA*011		China Baotou Han MIC			0.005		104	See
242	MICA*011		Morocco Nador Metalsa MIC			0.030		82	See
243	MICA*011		Spain Majorca Chueta MIC			0.016		95	See
244	MICA*011		Spain Majorca MIC			0.045		165	See
245	MICA*011		Thailand North East MIC			0.000		255	See
246	MICA*011		USA Caucasian MIC pop2			0.020		242	See
247	MICA*012		Japan MIC			0.127		130	See
248	MICA*012		Spain Majorca Chueta MIC			0.084		95	See
249	MICA*012		Spain Majorca MIC			0.018		165	See
250	MICA*012		Thailand North East MIC			0.031		255	See
251	MICA*012		USA Caucasian MIC pop2			0.020		242	See
252	MICA*012:01		Argentina Formosa Toba MIC			0.000		94	See
253	MICA*012:01		Argentina Formosa Wichi MIC			0.000		42	See
254	MICA*012:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
255	MICA*012:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
256	MICA*012:01		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
257	MICA*012:01		Brazil Parana Guarani M'byá MIC			0.000		100	See
258	MICA*012:01		Brazil Parana Kaingang MIC			0.002		245	See
259	MICA*012:01		China Baotou Han MIC			0.010		104	See
260	MICA*012:01		China Guangxi Zhuang MIC			0.079		209	See
261	MICA*015		Brazil Mato Grosso do Sul Kaiowa MIC			0.006		174	See
262	MICA*015		Brazil Mato Grosso do Sul Nandeva MIC			0.006		89	See
263	MICA*015		Brazil Parana Guarani M'byá MIC			0.000		100	See
264	MICA*015		Brazil Parana Kaingang MIC			0.016		245	See
265	MICA*015		Morocco Nador Metalsa MIC			0.018		82	See
266	MICA*015		Spain Majorca Chueta MIC			0.000		95	See
267	MICA*015		Spain Majorca MIC			0.006		165	See
268	MICA*015		Spain Murcia MIC			0.025		154	See
269	MICA*015		USA Caucasian MIC pop2			0.000		242	See
270	MICA*016		Argentina Formosa Toba MIC			0.000		94	See
271	MICA*016		Argentina Formosa Wichi MIC			0.000		42	See
272	MICA*016		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
273	MICA*016		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
274	MICA*016		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
275	MICA*016		Brazil Parana Guarani M'byá MIC			0.005		100	See
276	MICA*016		Brazil Parana Kaingang MIC			0.016		245	See
277	MICA*016		China Baotou Han MIC			0.010		104	See
278	MICA*016		Morocco Nador Metalsa MIC			0.018		82	See
279	MICA*016		Spain Majorca Chueta MIC			0.089		95	See
280	MICA*016		Spain Majorca MIC			0.024		165	See
281	MICA*016		Spain Murcia MIC			0.071		154	See
282	MICA*016		Thailand North East MIC			0.002		255	See
283	MICA*016		USA Caucasian MIC pop2			0.020		242	See
284	MICA*017		Argentina Formosa Toba MIC			0.000		94	See
285	MICA*017		Argentina Formosa Wichi MIC			0.000		42	See
286	MICA*017		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
287	MICA*017		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
288	MICA*017		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
289	MICA*017		Brazil Parana Guarani M'byá MIC			0.000		100	See
290	MICA*017		Brazil Parana Kaingang MIC			0.000		245	See
291	MICA*017		China Baotou Han MIC			0.019		104	See
292	MICA*017		China Guangxi Zhuang MIC			0.002		209	See
293	MICA*017		Morocco Nador Metalsa MIC			0.018		82	See
294	MICA*017		Spain Majorca Chueta MIC			0.053		95	See
295	MICA*017		Spain Majorca MIC			0.012		165	See
296	MICA*017		Spain Murcia MIC			0.012		154	See
297	MICA*017		Thailand North East MIC			0.022		255	See
298	MICA*018		Argentina Formosa Toba MIC			0.000		94	See
299	MICA*018		Argentina Formosa Wichi MIC			0.000		42	See
300	MICA*018		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	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.