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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 101 to 200 (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
101	MICA*002:01		Nigeria South Efik MIC			0.172		32	See
102	MICA*002:01		Nigeria South Igbo MIC			0.424		46	See
103	MICA*002:01		Nigeria South Yoruba MIC			0.331		74	See
104	MICA*002:01		USA African American MIC pop 2			0.256		39	See
105	MICA*002:01		USA Boston African American MIC			0.300		60	See
106	MICA*002:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
107	MICA*002:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
108	MICA*002:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
109	MICA*002:02		Brazil Parana Kaingang MIC			0.000		245	See
110	MICA*004		Argentina Formosa Toba MIC			0.011		94	See
111	MICA*004		Argentina Formosa Wichi MIC			0.000		42	See
112	MICA*004		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
113	MICA*004		Brazil Mato Grosso do Sul Kaiowa MIC			0.003		174	See
114	MICA*004		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
115	MICA*004		Brazil Parana Guarani M'byá MIC			0.000		100	See
116	MICA*004		Brazil Parana Kaingang MIC			0.020		245	See
117	MICA*004		China Baotou Han MIC			0.048		104	See
118	MICA*004		Japan MIC			0.092		130	See
119	MICA*004		Morocco Nador Metalsa MIC			0.232		82	See
120	MICA*004		Nigeria South Efik MIC			0.219		32	See
121	MICA*004		Nigeria South Igbo MIC			0.130		46	See
122	MICA*004		Nigeria South Yoruba MIC			0.270		74	See
123	MICA*004		Spain Majorca Chueta MIC			0.200		95	See
124	MICA*004		Spain Majorca MIC			0.176		165	See
125	MICA*004		Spain Murcia MIC			0.149		154	See
126	MICA*004		Thailand North East MIC			0.035		255	See
127	MICA*004		USA African American MIC pop 2			0.295		39	See
128	MICA*004		USA Boston African American MIC			0.233		60	See
129	MICA*004		USA Caucasian MIC pop2			0.060		242	See
130	MICA*005		Spain Murcia MIC			0.006		154	See
131	MICA*006		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
132	MICA*006		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
133	MICA*006		Brazil Parana Guarani M'byá MIC			0.000		100	See
134	MICA*006		Brazil Parana Kaingang MIC			0.000		245	See
135	MICA*006		Spain Majorca Chueta MIC			0.000		95	See
136	MICA*006		Spain Majorca MIC			0.012		165	See
137	MICA*006		USA Caucasian MIC pop2			0.000		242	See
138	MICA*007		Japan MIC			0.012		130	See
139	MICA*007		Spain Majorca Chueta MIC			0.068		95	See
140	MICA*007		Spain Majorca MIC			0.045		165	See
141	MICA*007		Spain Murcia MIC			0.012		154	See
142	MICA*007		Thailand North East MIC			0.000		255	See
143	MICA*007		USA Caucasian MIC pop2			0.020		242	See
144	MICA*007:01		Argentina Formosa Toba MIC			0.000		94	See
145	MICA*007:01		Argentina Formosa Wichi MIC			0.012		42	See
146	MICA*007:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.000		60	See
147	MICA*007:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
148	MICA*007:01		Brazil Mato Grosso do Sul Nandeva MIC			0.011		89	See
149	MICA*007:01		Brazil Parana Guarani M'byá MIC			0.000		100	See
150	MICA*007:01		Brazil Parana Kaingang MIC			0.000		245	See
151	MICA*007:01		China Baotou Han MIC			0.014		104	See
152	MICA*007:01		Morocco Nador Metalsa MIC			0.024		82	See
153	MICA*007:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
154	MICA*007:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
155	MICA*007:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
156	MICA*007:02		Brazil Parana Kaingang MIC			0.000		245	See
157	MICA*008		Japan MIC			0.304		130	See
158	MICA*008		Spain Majorca Chueta MIC			0.174		95	See
159	MICA*008		Spain Majorca MIC			0.285		165	See
160	MICA*008		Spain Murcia MIC			0.253		154	See
161	MICA*008		Thailand North East MIC			0.214		255	See
162	MICA*008		USA Caucasian MIC pop2			0.550		242	See
163	MICA*008:01		Argentina Formosa Toba MIC			0.010		94	See
164	MICA*008:01		Argentina Formosa Wichi MIC			0.000		42	See
165	MICA*008:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.008		60	See
166	MICA*008:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.006		174	See
167	MICA*008:01		Brazil Mato Grosso do Sul Nandeva MIC			0.034		89	See
168	MICA*008:01		Brazil Parana Guarani M'byá MIC			0.015		100	See
169	MICA*008:01		Brazil Parana Kaingang MIC			0.020		245	See
170	MICA*008:01		China Baotou Han MIC			0.231		104	See
171	MICA*008:01		China Guangxi Zhuang MIC			0.101		209	See
172	MICA*008:01		Morocco Nador Metalsa MIC			0.268		82	See
173	MICA*008:01		Nigeria South Efik MIC			0.328		32	See
174	MICA*008:01		Nigeria South Igbo MIC			0.250		46	See
175	MICA*008:01		Nigeria South Yoruba MIC			0.142		74	See
176	MICA*008:01		USA African American MIC pop 2			0.231		39	See
177	MICA*008:01		USA Boston African American MIC			0.183		60	See
178	MICA*008:02		Brazil Mato Grosso do Sul Kaiowa MIC			0.000		174	See
179	MICA*008:02		Brazil Mato Grosso do Sul Nandeva MIC			0.000		89	See
180	MICA*008:02		Brazil Parana Guarani M'byá MIC			0.000		100	See
181	MICA*008:02		Brazil Parana Kaingang MIC			0.000		245	See
182	MICA*008:02		China Baotou Han MIC			0.005		104	See
183	MICA*008:02		Nigeria South Efik MIC			0.031		32	See
184	MICA*008:02		Nigeria South Igbo MIC			0.011		46	See
185	MICA*008:02		Nigeria South Yoruba MIC			0.068		74	See
186	MICA*008:02		USA African American MIC pop 2			0.051		39	See
187	MICA*008:02		USA Boston African American MIC			0.075		60	See
188	MICA*008:04		China Guangxi Zhuang MIC			0.101		209	See
189	MICA*009		Japan MIC			0.165		130	See
190	MICA*009		Spain Majorca Chueta MIC			0.084		95	See
191	MICA*009		Spain Majorca MIC			0.094		165	See
192	MICA*009		Spain Murcia MIC			0.071		154	See
193	MICA*009		Thailand North East MIC			0.024		255	See
194	MICA*009		USA Caucasian MIC pop2			0.030		242	See
195	MICA*009:01		Argentina Formosa Toba MIC			0.016		94	See
196	MICA*009:01		Argentina Formosa Wichi MIC			0.012		42	See
197	MICA*009:01		Brazil Limao Verde and Corrego Reserve Terena MIC			0.023		60	See
198	MICA*009:01		Brazil Mato Grosso do Sul Kaiowa MIC			0.089		174	See
199	MICA*009:01		Brazil Mato Grosso do Sul Nandeva MIC			0.017		89	See
200	MICA*009:01		Brazil Parana Guarani M'byá MIC			0.020		100	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.