Allele Frequencies in World Populations

HLA Database » Allele Report

The list below shows all populations in AFND that contains the allele at this level. If an allele has an entry with a higher resolution this will be shown at the end.

   

B*15

Allele reported 345 time(s) and present in 340 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
MMRMyanmar Kayah85.50.609155See
MMRMyanmar Kayin79.50.534144See
MMRMyanmar Chin76.40.500055See
MYSMalaysia Sarawak Bidayuh0.460050See
MMRMyanmar Kachin60.30.373063See
MMRMyanmar Bamar52.20.326147See
SDNSudan South Nuba54.30.323946See
MMRMyanmar Shan51.90.305654See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.303094See
RUSRussia Murmansk Saomi Mixed0.290070See
MYSMalaysia Sarawak Iban0.275051See
COLColombia Wayu from Guajira Peninsula0.260448See
MMRMyanmar Rakhine50.00.260448See
MYSMalaysia pop 30.25701445See
MYSMalaysia Negeri Sembilan Minangkabau0.250034See
VNMVietnam Hanoi0.250050See
INDIndia Kerala Kanikkar0.227022See
MYSMalaysia Perak Rawa0.220023See
MYSMalaysia pop 20.214062See
COLColombia San Basilio de Palenque0.214042See
CHNChina Guangzhou Han0.2120106See
ARGArgentina Salta Wichi pop 242.10.211019See
BGDBangladesh Dhaka Bangalee0.2020141See
INDIndia Kerala Hindu Pulaya0.188016See
JPNJapan Hyogo31.30.181032See
CHNChina Yunnan Province Han pop 20.1740129See
MMRMyanmar Mon28.10.171964See
CHNChina Yunnan Province Naxi0.1710118See
RWARwanda0.1660280See
CHNChina Harbin Korean0.1660201See
USAUSA OPTN Asian0.1630261See
THAThailand Northeast0.159066See
ZAFSouth Africa Tswana26.80.159041See
CHNChina Wuhan30.80.1560121See
MOZMozambique0.1560202See
NGANigeria27.90.1550258See
NORNorway Sami0.1550200See
CHNChina Shanghai0.150026266See
RUSRussia Arkhangelsk Pomor0.150063See
VENVenezuela Caracas Mestizo0.150050See
THAThailand pop 40.148016807See
TWNTaiwan Hakka pop 20.1470714See
BRABrazil Rio Grande do Sul Black0.1470248See
MEXMexico Michoacan Tarasco27.60.1460130See
BOLBolivia Quechua0.145080See
CHNChina Shandong Province Linqu County26.80.1444139See
CHNChina Jiangsu Province0.144020248See
TZATanzania Dodoma Kongwa0.1430212See
ARGArgentina Chiriguano24.50.142054See
CHNChina Guangdong Province26.30.1415403See
TTOTrinidad African0.140067See
CHNChina Shaanxi Province Han0.138010000See
CHNChina Shandong Province26.90.13807418See
USAUSA OPTN African American0.13701510See
BRABrazil Parana Afro Brazilian27.30.136077See
THAThailand Northeast pop 20.1350400See
KORSouth Korea pop 10.1330324See
MYSMalaysia Sabah Kadazan0.132057See
BFABurkina Faso Mossi0.132053See
TWNTaiwan Minnan pop 20.13107137See
TWNTaiwan Chinese immigrants from Middle China0.1310211See
JPNJapan Aichi26.10.130050See
USAUSA African American Bethesda22.30.1280187See
CHNChina Harbin Manchu0.1280172See
VENVenezuela Zulia San Jose de Heras Mixed0.125020See
BRABrazil Pernambuco Mixed0.1240101See
INDIndia Kerala Hindu Nair0.122041See
TWNTaiwan Chinese immigrants from South China0.1210172See
SAUSaudi Arabia22.30.118518See
TWNTaiwan Minnan and Hakka0.1160190See
BRABrazil REDOME Roraima0.11574140See
MNGMongolia Khalkha0.1150200See
JPNJapan Tohoku Region0.1140322See
CMRCameroon Bamileke 20.114035See
INDIndia North Gujarat19.80.1139338See
BRABrazil Piaui Mixed0.113021943See
ARGArgentina Corrientes21.20.1120155See
NORNorway pop 20.1120576See
BRABrazil REDOME Piaui0.112046140See
MNGMongolia Tsaatan0.1110144See
ESPSpain North Cabuerniga0.111095See
BRABrazil REDOME Bahia0.110247399See
SENSenegal Dakar22.30.1100112See
MTQMartinique0.1100100See
PRTMadeira pop 20.1100173See
BRABrazil REDOME Amapa0.109517864See
BRABrazil REDOME Sergipe0.10747321See
TWNTaiwan Chinese immigrants from North China0.1070152See
BRABrazil REDOME Amazonas0.106524129See
BRABrazil REDOME Maranhao0.106210180See
PERPeru Arequipa Mestizo20.30.1060168See
BRABrazil Parana Oriental21.20.106033See
BRABrazil REDOME Ceara0.1059101217See
NORNorway ethnic Norwegians20.10.10594510See
SWESweden pop 419.60.1056966See
SWESweden Uppsala20.00.1055300See
CMRCameroon Bakola Pygmy20.00.105550See
BRABrazil REDOME Tocantins0.105320692See
BRABrazil Belem Mixed21.00.1050100See
INDIndia Kerala Hindu Ezhava0.105024See
BRABrazil REDOME Pernambuco0.103092332See
BRABrazil REDOME Acre0.1030859See
GBRUnited Kingdom East0.1025163See
MEXMexico Mexico City Mestizo pop 30.1020256See
BRABrazil Sao Paulo Mixed21.00.1020239See
BRABrazil REDOME Para0.101472637See
GHAGhana Accre Asutuare Akan0.1010429See
BRABrazil Rio Grande do Sul Mixed0.1000324See
BRABrazil REDOME Alagoas0.099425349See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.099096See
FRAFrance Corsica Island0.0970100See
BRABrazil REDOME Mato Grosso0.097034649See
ESPSpain Minorca0.097094See
BRABrazil Rio Grande do Norte Mestizo0.097012973See
BRABrazil REDOME Mato Grosso do Sul0.096795667See
BRABrazil REDOME Rondonia0.096254396See
BRABrazil REDOME Rio Grande do Norte0.095646603See
BRABrazil REDOME Paraiba0.094943868See
BRABrazil REDOME Espirito Santo0.094188485See
CMRCameroon Podokwo0.093043See
BRABrazil REDOME Federal District0.090829549See
BRABrazil REDOME Rio de Janeiro0.0905139322See
BRABrazil REDOME Goias0.090188574See
BRABrazil South East Cord Bllod0.089111409See
JPNJapan Hyogo Osaka and Nagano0.0890195See
LKASri Lanka Colombo Sinhalese0.0890101See
PRTAzores Terceira Island0.0890130See
BRABrazil REDOME Minas Gerais0.0882211275See
JPNJapan pop 20.0880916See
BRABrazil REDOME Parana0.0876341639See
BRABrazil REDOME Sao Paulo0.0875800809See
VENVenezuela Colonia Tovar0.087286See
RUSRussia Transbaikal Territory Buryats16.00.0870150See
GBRUnited Kingdom renal patients16.70.08607007See
GBRUnited Kingdom Orkney0.083888See
BRABrazil Parana Japanese16.00.0834192See
AUSAustralia West Caucasian15.80.0830891See
MEXMexico Huasteca Region Teenek0.083055See
RUSRussia Nenet Mixed0.083055See
RUSRussia South Ural Russian15.50.0820207See
BRABrazil Parana Mulatto16.00.0810186See
BRABrazil REDOME Rio Grande do Sul0.0810241329See
TTOTrinidad South Asian0.080087See
FRAFrance Southeast15.40.0800130See
BRABrazil Parana Caucasian16.00.08002775See
INDIndia Kerala Syrian Christian0.080031See
DEUGermany15.30.079611407See
AUTAustria Cord Bloods0.07961368See
GBRUnited Kingdom pop 20.0790101See
BRABrazil Rio Grande do Sul Caucasoid0.07904428See
BRABrazil Sao Paulo Bauru Mixed0.07803542See
ESPSpain North15.00.0780156See
INDIndia North pop 30.0780587See
BRABrazil Parana Cafuzo15.60.0780319See
GBRUnited Kingdom South West0.0772163See
BRABrazil Minas Gerais State Mixed15.50.07701000See
MNGMongolia Ulaanbaatar Khalkha0.077041See
BRABrazil Curitiba-Parana Mixed0.0761264See
RUSRussia Northwest pop 315.00.0750100See
USAUSA OPTN Hispanic0.07501580See
ESPSpain Catalonia Girona0.075088See
ENGEngland Sheffield14.30.07424755See
FRAFrance Reims0.0740102See
DEUGermany Essen14.40.0740174See
ENGEngland North West Mixed pop 214.50.0739379See
BRABrazil REDOME Santa Catarina0.0736106673See
USAUSA OPTN Caucasian0.07308525See
JPNJapan Kyoto and Osaka0.0730165See
ENGEngland Leeds14.00.07265024See
FRAFrance Rennes pop 414.50.07261000See
FRAFrance Grenoble14.10.07241000See
SCOScotland Orkney12.10.072099See
BRABrazil Paraná Caucasian13.90.0718641See
FRAFrance Bordeaux14.10.0713990See
PAKPakistan Burusho0.071092See
MEXMexico Mestizo pop 40.0706269See
ITAItaly East Sicily14.00.070050See
RUSRussia Northwest13.50.06991011See
MARMorocco0.068096See
FRAFrance Grenoble, Nantes and Rennes0.06806094See
MARMorocco pop 20.0680110See
MNGMongolia Oold0.0670104See
ENGEngland Manchester12.90.06671640See
ESPSpain Gipuzkoa Basque0.0660100See
RUSRussia Sakhalin Island Nivkhi0.066053See
ARGArgentina Buenos Aires pop 213.10.06601216See
PRTPortugal Bragança0.0660301See
PAKPakistan Mixed Pathan0.0660100See
CMRCameroon Ewondo0.066038See
ITAItaly Lombardy12.20.0650674See
PAKPakistan Kalash0.065069See
ARMArmenia Shirak0.065076See
ARGArgentina Buenos Aires13.00.0650466See
FRAFrance Marseille12.90.06461000See
FRAFrance Lyon12.80.06414813See
PRTPortugal Braga0.06401971See
WALWales pop 212.40.064039979See
PRTPortugal Aveiro0.06305933See
BOLBolivia Aymara0.0630102See
WALWales12.70.06301798See
TWNTaiwan Aborigine0.0630111See
ENGEngland Newcastle12.20.06292739See
BIHBosnia and Herzegovina pop 211.70.0625120See
ENGEngland Liverpool12.10.06241343See
PRTAzores0.06201050See
USAUSA Caucasian Bethesda11.60.0620307See
ITAItaly Bergamo11.90.0620101See
BELBelgium12.20.061099See
PRTPortugal Castelo Branco0.0610327See
CZECzech Republic Kurd10.80.060874See
RUSRussia Moscow Pop 211.40.06022000See
ESPSpain Majorca0.0600407See
MEXMexico Mayan Pop 30.060066See
PRTPortugal Guarda0.0600797See
BRABrazil South Ribeirao Preto0.0600184See
MARMorocco Casablanca0.0600100See
GBRUnited Kingdom North0.0599330See
RUSRussia Northwest pop 211.50.0590346See
INDIndia Kerala Kattunaikka0.059017See
PRTPortugal Viana do Castelo0.0590706See
PRTPortugal Viseu0.05902915See
SVKSlovakia pop 20.05814234See
PRTMadeira pop 30.0580538See
ARGArgentina Cuyo Region12.20.0580420See
POLPoland pop 311.40.05712907See
MNGMongolia Khalkha pop 20.0570202See
PRTPortugal Porto0.05707937See
CMRCameroon Uldeme0.057035See
COLColombia Barranquilla0.0560188See
PRTPortugal Vila Real0.05601167See
TURTurkey pop 50.0560142See
ESPSpain Murcia0.0560173See
PRTPortugal Center pop 20.0550562See
ARMArmenia Syunik0.0550117See
PRTPortugal North0.054046See
SAUSaudi Arabia pop 20.0540383See
ITAItaly North Pavia pop 210.70.05402416See
AREUnited Arab Emirates pop 210.60.0540373See
RUSRussia Moscow0.05402650See
PRTPortugal Santarem0.05303865See
PRTPortugal Leiria0.05301847See
PRTPortugal Lisbon0.053017420See
GBRUnited Kingdom Central0.0526135See
CHLChile Santiago0.0522920See
ITAItaly0.0520159311See
PRTPortugal Portalegre0.05201254See
PRTPortugal Faro0.05201242See
PRTPortugal North pop 20.05161801See
DZAAlgeria pop 210.00.0513106See
PRTPortugal Setubal0.05005268See
PRTPortugal Coimbra0.05005057See
FRAFrance Rennes pop 30.0500200See
VENVenezuela Zulia Maracaibo Mixed0.050020See
INDIndia Kerala Kurichiya0.050010See
INDIndia Bikaner Non-Raikas9.70.0500127See
JPNJapan pop 119.70.049762See
ARMArmenia living in Karabakh0.0490445See
JORJordan0.049015141See
SAUSaudi Arabia pop 49.40.0482499See
ARMArmenia living in Iran0.047085See
RUSRussia Tatars0.0464355See
ARGArgentina La Plata10.00.0460100See
RUSRussia Samara Region0.04602500See
INDIndia Kerala Malabar Muslim0.045034See
ARMArmenia living in USA0.0450233See
ARMArmenia Yerevan0.0450445See
IRLIreland South pop 20.044717624See
CUBCuba Mixed pop 20.0440189See
PRTPortugal South pop 20.04401021See
CAFCentral African Republic Mbenzele Pygmy8.50.043436See
PRTPortugal Evora0.0430737See
PERPeru Lamas City Lama0.042083See
ITAItaly North Pavia pop 30.0402685See
ARMArmenia Lori0.0400102See
TUNTunisia8.00.0400100See
ITAItaly Rome8.00.0400100See
PAKPakistan Mixed Sindhi0.0400101See
IRNIran pop 40.0398855See
RUSRussia North Ossetian7.90.0394127See
ARMArmenia Ghegharkunik0.0390242See
ESPSpain Majorca and Minorca0.039090See
SRBSerbia0.0380386See
ITAItaly pop 67.60.0380184See
ESPSpain Majorcans Jews0.0380103See
GRCGreece Crete0.0380135See
ESPSpain Sevilla7.20.0378278See
PRTPortugal Beja0.0370699See
SRBSerbia pop 37.20.03671992See
IRNIran pop 10.036064See
MNGMongolia Tarialan Khoton0.036085See
ROMRomania7.20.0360348See
GRCGreece pop36.90.0351246See
ISRIsrael Jews pop 26.90.035023000See
TURTurkey pop 20.0350228See
IRQIraq Erbil7.00.0350372See
SVNSlovenia pop 36.90.0350130See
ARMArmenia living in Lebanon0.0340368See
BIHBosnia and Herzegovina0.0335134See
GRCGreece pop 70.033411250See
ALBAlbania0.0330160See
IRNIran Royan Cord Blood Bank6.40.032015600See
MKDMacedonia pop 40.0320216See
GRCGreece North0.0300500See
ROMRomania pop 20.03006936See
ROMRomania pop 35.90.02941469See
KURIraq Kurdistan Region6.20.0290209See
HRVCroatia pop 20.0290100See
ALBAlbania pop 25.30.0289432See
ISRIsrael Ashkenazi Jews pop 20.0280132See
RUSRussia South Ural Bashkir5.50.0270146See
INDIndia Kerala Hindu Namboothiri0.026040See
ISRIsrael Moroccan Jews0.0260113See
ESPSpain Arratia Valley Basque0.026083See
SRBSerbia Vojvodina5.20.0260400See
GTMGuatemala Mayan0.0250132See
HRVCroatia pop 35.00.0250120See
GAZGaza Palestinians0.0240165See
PAKPakistan Brahui0.0240104See
INDIndia Kerala Adiya0.024021See
MKDMacedonia MBMDR - Macedonian4.70.02341283See
CUBCuba Mixed0.022078See
CZECzech Republic Gypsy pop 24.40.021746See
MEXMexico Nahuas0.020072See
MKDMacedonia MBMDR - Albanian3.90.0195128See
RUSRussia South Ural Tatar3.70.0190135See
RUSRussia Chuvash0.018082See
MKDMacedonia pop 30.0180172See
GEOGeorgia Kurds0.018030See
RUSRussia, South Ural, Chelyabinsk region, Nagaybaks3.60.0180112See
PAKPakistan Baloch0.015066See
ENGEngland London Ashkenazi Jews0.0150500See
MKDMacedonia MBMDR - Macedonian Muslims2.60.013276See
MKDMacedonia0.0122286See
ESPSpain Ibiza0.011088See
ITAItaly Sardinia pop30.0100100See
TUNTunisia Ghannouch0.006082See
PAKPakistan Karachi Parsi0.005091See
ALBAlbanian Kosovo0.0042120See
INDIndia Bikaner Raikas0.80.0040143See
ENGEngland Lancaster0.20.0010545See
INDIndia Kerala Kuruma0.000015See
INDIndia Kerala Paniya0.000010See
INDIndia Kerala Malapandaram0.000010See
CHNChina North Han0.0000105See
ITAItaly North pop 30.00.000097See

See also higher resolution data of this allele


Allele  Number of Populations 
 B*15:184 
 B*15:01:11 
 B*15:27:01 
 B*15:74 
 B*15:10 250 
 B*15:90 14 
 B*15:71 19 
 B*15:03:01 11 
 B*15:01:13 
 B*15:31 159 
 B*15:49 15 
 B*15:29 175 
 B*15:38 56 
 B*15:191 
 B*15:14 51 
 B*15:01:12 
 B*15:104 
 B*15:174 
 B*15:01:14 
 B*15:98 
 B*15:299 
 B*15:58 34 
 B*15:154 
 B*15:17:02 
 B*15:146 
 B*15:157 
 B*15:82 13 
 B*15:212 
 B*15:63 20 
 B*15:198 
 B*15:231 
 B*15:01 344 
 B*15:79N 
 B*15:05:02 
 B*15:78 
 B*15:65 17 
 B*15:77 
 B*15:202 
 B*15:224 
 B*15:114 
 B*15:69 12 
 B*15:143 
 B*15:125 
 B*15:91 
 B*15:300 
 B*15:46 54 
 B*15:45 55 
 B*15:23 58 
 B*15:08 220 
 B*15:37 73 
 B*15:117 
 B*15:18:01:03 
 B*15:01:09 
 B*15:11:04 
 B*15:142 
 B*15:220 
 B*15:172 
 B*15:57 13 
 B*15:128 
 B*15:04 83 
 B*15:17:01:01 11 
 B*15:01:06 
 B*15:177 
 B*15:66 11 
 B*15:165 
 B*15:304N 
 B*15:02 266 
 B*15:25:01 
 B*15:02:01 
 B*15:50 16 
 B*15:26N 27 
 B*15:62 13 
 B*15:16 234 
 B*15:168 
 B*15:194 
 B*15:27 99 
 B*15:81 
 B*15:02:03 
 B*15:118 
 B*15:88 11 
 B*15:10:01 10 
 B*15:140 
 B*15:54 22 
 B*15:30 159 
 B*15:173 
 B*15:07 198 
 B*15:170 
 B*15:72 21 
 B*15:80 19 
 B*15:124 
 B*15:153 
 B*15:209N 
 B*15:150 
 B*15:303 
 B*15:19 27 
 B*15:01:15 
 B*15:01:01:12 
 B*15:34 61 
 B*15:17:01 11 
 B*15:84 
 B*15:152 
 B*15:135 
 B*15:264 
 B*15:106 
 B*15:11:02 
 B*15:176 
 B*15:78:02 
 B*15:113 
 B*15:01:08 
 B*15:01:07 
 B*15:164 
 B*15:01:10 
 B*15:156 
 B*15:103 
 B*15:186 
 B*15:139 
 B*15:01:01:02N 15 
 B*15:108 
 B*15:112 
 B*15:51 14 
 B*15:11:03 
 B*15:13:01 
 B*15:131 
 B*15:87 
 B*15:43 42 
 B*15:102 
 B*15:13:02 
 B*15:42 23 
 B*15:294N 
 B*15:15 183 
 B*15:95 
 B*15:147 
 B*15:116 
 B*15:27:02 
 B*15:188 
 B*15:01:29 
 B*15:141 
 B*15:47 53 
 B*15:193 
 B*15:48 100 
 B*15:18:01 
 B*15:20 56 
 B*15:96 
 B*15:16:01:01 
 B*15:08:01 
 B*15:28 132 
 B*15:01:01 32 
 B*15:56 97 
 B*15:13 188 
 B*15:39 152 
 B*15:162 
 B*15:93 
 B*15:35 57 
 B*15:18:01:02 
 B*15:203 
 B*15:73 20 
 B*15:67 26 
 B*15:123 11 
 B*15:03:01:02 
 B*15:01:03 
 B*15:02:02 
 B*15:155 
 B*15:75 12 
 B*15:223 
 B*15:76 86 
 B*15:01:02 
 B*15:183 
 B*15:99 
 B*15:149N 
 B*15:36 133 
 B*15:02:04 
 B*15:01:01:05 
 B*15:06 78 
 B*15:171 
 B*15:18:01:01 
 B*15:09 207 
 B*15:01:04 
 B*15:11:01 11 
 B*15:03 294 
 B*15:32:01 
 B*15:24 185 
 B*15:163 
 B*15:21 189 
 B*15:126 
 B*15:160 
 B*15:301 
 B*15:12 90 
 B*15:151 
 B*15:134 
 B*15:61 17 
 B*15:145 
 B*15:12:01 
 B*15:192 
 B*15:110 
 B*15:175 
 B*15:302N 
 B*15:07:01 
 B*15:211 
 B*15:137 
 B*15:169 
 B*15:16:01 
 B*15:24:01 
 B*15:119 
 B*15:148 
 B*15:01:16 
 B*15:17:01:02 
 B*15:178 
 B*15:68 14 
 B*15:166 
 B*15:64 18 
 B*15:55 28 
 B*15:109 
 B*15:111N 
 B*15:60 12 
 B*15:122 
 B*15:129 
 B*15:158 
 B*15:298 
 B*15:27:03 
 B*15:94N 
 B*15:83 10 
 B*15:07:01:02 
 B*15:138 
 B*15:38:01 
 B*15:85 
 B*15:39:01 
 B*15:01:01:06 
 B*15:40 57 
 B*15:53 23 
 B*15:89 
 B*15:132 
 B*15:09:01 
 B*15:144 
 B*15:38:02 
 B*15:01:01:04 
 B*15:120 
 B*15:185 
 B*15:01:01:01 21 
 B*15:33 38 
 B*15:295 
 B*15:18 281 
 B*15:05:01 
 B*15:86 
 B*15:78:01 
 B*15:05 187 
 B*15:16:01:02 
 B*15:121 
 B*15:219 
 B*15:32 73 
 B*15:115 
 B*15:133 
 B*15:159 
 B*15:01:33 
 B*15:44 45 
 B*15:52 21 
 B*15:70 15 
 B*15:92 
 B*15:01:01:09 
 B*15:105 
 B*15:181N 
 B*15:01:32 
 B*15:11 201 
 B*15:167 
 B*15:161 
 B*15:25 156 
 B*15:136 
 B*15:17 292 
 B*15:97 
 B*15:107 
 B*15:25:02 
 B*15:127 
 B*15:182N 
 B*15:101 

* This list corresponds to those alleles that have been reported in AFND only (i.e. only positive findings).


Notes:

* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
   Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* Phenotype Frequency: Percentage of individuals who have the allele or gene (Individuals / n).
* Allele Frequencies shown in green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.

¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.


   

Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations.
Gonzalez-Galarza FF, Takeshita LY, Santos EJ, Kempson F, Maia MH, Silva AL, Silva AL, Ghattaoraya GS, Alfirevic A, Jones AR and Middleton D Nucleic Acid Research 2015, 39, 28, D784-8.
Liverpool, U.K.

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