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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 Malaysia Morocco Nigeria Saudi Arabia Slovenia 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 Other    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 1 to 100 (from 180) records

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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
1	MICA*001		Argentina Formosa Toba MIC			0.005		94	See
2	MICA*001		Argentina Formosa Wichi MIC			0.000		42	See
3	MICA*001		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
4	MICA*001		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
5	MICA*001		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
6	MICA*001		Brazil Parana Guarani M'byá MIC			0.000		100	See
7	MICA*001		Brazil Parana Kaingang MIC			0.002		245	See
8	MICA*002:01		Argentina Formosa Toba MIC			0.346		94	See
9	MICA*002:01		Argentina Formosa Wichi MIC			0.476		42	See
10	MICA*002:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.445		60	See
11	MICA*002:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.641		174	See
12	MICA*002:01		Brazil Mato Grosso do Sul Nandeva MIC			0.375		89	See
13	MICA*002:01		Brazil Parana Guarani M'byá MIC			0.215		100	See
14	MICA*002:01		Brazil Parana Kaingang MIC			0.396		245	See
15	MICA*002:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
16	MICA*002:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
17	MICA*002:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
18	MICA*002:02		Brazil Parana Kaingang MIC			0.000		245	See
19	MICA*004		Argentina Formosa Toba MIC			0.011		94	See
20	MICA*004		Argentina Formosa Wichi MIC			0.000		42	See
21	MICA*004		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
22	MICA*004		Brazil Mato Grosso do Sul Kaiowa MIC			0.003		174	See
23	MICA*004		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
24	MICA*004		Brazil Parana Guarani M'byá MIC			0.000		100	See
25	MICA*004		Brazil Parana Kaingang MIC			0.020		245	See
26	MICA*006		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
27	MICA*006		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
28	MICA*006		Brazil Parana Guarani M'byá MIC			0.000		100	See
29	MICA*006		Brazil Parana Kaingang MIC			0.000		245	See
30	MICA*007:01		Argentina Formosa Toba MIC			0.000		94	See
31	MICA*007:01		Argentina Formosa Wichi MIC			0.012		42	See
32	MICA*007:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
33	MICA*007:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
34	MICA*007:01		Brazil Mato Grosso do Sul Nandeva MIC			0.011		89	See
35	MICA*007:01		Brazil Parana Guarani M'byá MIC			0.000		100	See
36	MICA*007:01		Brazil Parana Kaingang MIC			0.000		245	See
37	MICA*007:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
38	MICA*007:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
39	MICA*007:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
40	MICA*007:02		Brazil Parana Kaingang MIC			0.000		245	See
41	MICA*008:01		Argentina Formosa Toba MIC			0.010		94	See
42	MICA*008:01		Argentina Formosa Wichi MIC			0.000		42	See
43	MICA*008:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.008		60	See
44	MICA*008:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.006		174	See
45	MICA*008:01		Brazil Mato Grosso do Sul Nandeva MIC			0.034		89	See
46	MICA*008:01		Brazil Parana Guarani M'byá MIC			0.015		100	See
47	MICA*008:01		Brazil Parana Kaingang MIC			0.020		245	See
48	MICA*008:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
49	MICA*008:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
50	MICA*008:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
51	MICA*008:02		Brazil Parana Kaingang MIC			0.000		245	See
52	MICA*009:01		Argentina Formosa Toba MIC			0.016		94	See
53	MICA*009:01		Argentina Formosa Wichi MIC			0.012		42	See
54	MICA*009:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.023		60	See
55	MICA*009:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.089		174	See
56	MICA*009:01		Brazil Mato Grosso do Sul Nandeva MIC			0.017		89	See
57	MICA*009:01		Brazil Parana Guarani M'byá MIC			0.020		100	See
58	MICA*009:01		Brazil Parana Kaingang MIC			0.002		245	See
59	MICA*009:02		Argentina Formosa Toba MIC			0.016		94	See
60	MICA*009:02		Argentina Formosa Wichi MIC			0.000		42	See
61	MICA*009:02		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
62	MICA*009:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
63	MICA*009:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
64	MICA*009:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
65	MICA*009:02		Brazil Parana Kaingang MIC			0.000		245	See
66	MICA*010		Argentina Formosa Toba MIC			0.277		94	See
67	MICA*010		Argentina Formosa Wichi MIC			0.190		42	See
68	MICA*010		Brazil Limao Verde and Corrego Reserve Terena MIC			0.172		60	See
69	MICA*010		Brazil Mato Grosso do Sul Kaiowa MIC			0.141		174	See
70	MICA*010		Brazil Mato Grosso do Sul Nandeva MIC			0.341		89	See
71	MICA*010		Brazil Parana Guarani M'byá MIC			0.330		100	See
72	MICA*010		Brazil Parana Kaingang MIC			0.265		245	See
73	MICA*011		Argentina Formosa Toba MIC			0.005		94	See
74	MICA*011		Argentina Formosa Wichi MIC			0.000		42	See
75	MICA*011		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
76	MICA*011		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
77	MICA*011		Brazil Mato Grosso do Sul Nandeva MIC			0.006		89	See
78	MICA*011		Brazil Parana Guarani M'byá MIC			0.000		100	See
79	MICA*011		Brazil Parana Kaingang MIC			0.008		245	See
80	MICA*012:01		Argentina Formosa Toba MIC			0.000		94	See
81	MICA*012:01		Argentina Formosa Wichi MIC			0.000		42	See
82	MICA*012:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
83	MICA*012:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
84	MICA*012:01		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
85	MICA*012:01		Brazil Parana Guarani M'byá MIC			0.000		100	See
86	MICA*012:01		Brazil Parana Kaingang MIC			0.002		245	See
87	MICA*015		Brazil Mato Grosso do Sul Kaiowa MIC			0.006		174	See
88	MICA*015		Brazil Mato Grosso do Sul Nandeva MIC			0.006		89	See
89	MICA*015		Brazil Parana Guarani M'byá MIC			0.000		100	See
90	MICA*015		Brazil Parana Kaingang MIC			0.016		245	See
91	MICA*016		Argentina Formosa Toba MIC			0.000		94	See
92	MICA*016		Argentina Formosa Wichi MIC			0.000		42	See
93	MICA*016		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
94	MICA*016		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
95	MICA*016		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
96	MICA*016		Brazil Parana Guarani M'byá MIC			0.005		100	See
97	MICA*016		Brazil Parana Kaingang MIC			0.016		245	See
98	MICA*017		Argentina Formosa Toba MIC			0.000		94	See
99	MICA*017		Argentina Formosa Wichi MIC			0.000		42	See
100	MICA*017		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.