TreeWAS – [D04.4] Skin of scalp and neck

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.631	0.368	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.547	0.453	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.503	0.497	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.488	0.512	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.485	0.514	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.481	0.519	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.480	0.520	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.478	0.522	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.475	0.525	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.470	0.530	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.466	0.534	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.462	0.538	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.450	0.549	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.443	0.557	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.441	0.559	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.429	0.571	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.425	0.575	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.419	0.581	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.412	0.587	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.405	0.595	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.404	0.596	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.396	0.604	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.391	0.608	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.388	0.612	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.374	0.625	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.374	0.626	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.368	0.632	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.367	0.633	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.365	0.634	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.364	0.636	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.356	0.644	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.352	0.648	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.347	0.652	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.346	0.653	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.345	0.655	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.342	0.658	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.340	0.660	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.334	0.666	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.334	0.666	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.330	0.670	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.329	0.671	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.324	0.676	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.324	0.676	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.314	0.685	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.313	0.687	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.311	0.689	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.309	0.691	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.308	0.692	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.307	0.693	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.303	0.697	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.302	0.698	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.302	0.698	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.299	0.700	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.298	0.701	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.292	0.708	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.289	0.711	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.284	0.716	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.283	0.717	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.282	0.718	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.280	0.720	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.274	0.726	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.265	0.735	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.260	0.740	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.249	0.751	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.249	0.751	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.241	0.758	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.230	0.770	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.228	0.772	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.226	0.773	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.220	0.779	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.219	0.780	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.219	0.781	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.216	0.783	0.001
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.215	0.785	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.205	0.795	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.204	0.795	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.201	0.799	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.187	0.813	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.166	0.834	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.855	0.145
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.145	0.855	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.144	0.856	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.143	0.856	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.138	0.862	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.137	0.863	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.135	0.863	0.002
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.136	0.864	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.126	0.874	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.120	0.878	0.002
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.119	0.880	0.001
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.118	0.882	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.117	0.883	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.117	0.883	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.108	0.892	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.097	0.902	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.096	0.904	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.093	0.906	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.092	0.908	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.071	0.929	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.068	0.932	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.067	0.933	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.055	0.945	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.054	0.945	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.051	0.949	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.050	0.950	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.047	0.952	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.033	0.967	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.028	0.972	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.027	0.972	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.009	0.973	0.018
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.026	0.974	0.000
rs17857135 lBF = `-0.0487206` Chr`17` : `78,262,161`	0.026	0.974	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.025	0.974	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.022	0.977	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.022	0.978	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.022	0.978	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.020	0.980	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.020	0.980	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.019	0.981	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.018	0.981	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.015	0.985	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.014	0.986	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.014	0.986	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.013	0.986	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.013	0.987	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.013	0.987	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.012	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.007	0.992	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.007	0.992	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	0.993	0.007
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.007	0.993	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.007	0.993	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.993	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.006	0.994	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.006	0.994	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.006	0.994	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	0.995	0.005
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.004	0.995	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.004	0.995	0.000
rs9914258 lBF = `5.38881` Chr`17` : `10,031,642`	0.000	0.996	0.004
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.004	0.996	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.004	0.996	0.000
rs11656696 lBF = `5.98584` Chr`17` : `10,033,679`	0.000	0.996	0.004
rs4796793 lBF = `0.27199` Chr`17` : `40,542,210`	0.004	0.996	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.004	0.996	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs9913911 lBF = `7.26611` Chr`17` : `10,031,183`	0.000	0.997	0.003
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.003	0.997	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.997	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.002	0.997	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.002	0.997	0.001
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.003	0.997	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.997	0.002
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	0.998	0.002
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.002	0.998	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.002	0.998	0.000
rs12150284 lBF = `7.56098` Chr`17` : `10,031,090`	0.000	0.998	0.002
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.000	0.998	0.002
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.002	0.998	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.002	0.998	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	0.998	0.002
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.002	0.998	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	0.998	0.002
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.000	0.998	0.002
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.002	0.998	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	0.998	0.002
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.001	0.998	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.002	0.998	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.001	0.998	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.001	0.998	0.001
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.000	0.998	0.002
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	0.999	0.001
rs907092 lBF = `10.6486` Chr`17` : `37,922,259`	0.000	0.999	0.001
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.001	0.999	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	0.999	0.001
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.001	0.999	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	0.999	0.001
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.999	0.000
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.001	0.999	0.000
rs4788985 lBF = `-0.112155` Chr`17` : `75,313,335`	0.001	0.999	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	0.999	0.001
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	0.999	0.001
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.001	0.999	0.001
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	0.001	0.999	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.001	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.999	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.001	0.999	0.000
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rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	0.999	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	0.999	0.001
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.000	0.999	0.001
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	0.999	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.999	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.000	0.999	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	0.999	0.000
rs11651708 lBF = `-0.057113` Chr`17` : `64,517,313`	0.000	0.999	0.001
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	0.999	0.000
rs17736589 lBF = `-0.0669878` Chr`17` : `76,737,118`	0.000	0.999	0.001
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	0.999	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	0.999	0.000
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.000	0.999	0.000
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	0.999	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	0.999	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	0.999	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	0.999	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.000	0.999	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	0.999	0.000
rs9912468 lBF = `-0.0734971` Chr`17` : `64,318,357`	0.000	0.999	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	0.999	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.000	0.999	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	0.999	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	0.999	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.000	0.999	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.000	0.999	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	0.999	0.000
rs559972 lBF = `0.05985` Chr`17` : `27,814,496`	0.000	0.999	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	0.999	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	0.999	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	0.999	0.000
rs9892651 lBF = `-0.0651436` Chr`17` : `64,303,793`	0.000	0.999	0.000
rs1401795 lBF = `-0.0743849` Chr`17` : `54,839,652`	0.000	0.999	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	0.999	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	0.999	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	0.999	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	0.999	0.000
rs7222591 lBF = `5.54307` Chr`17` : `47,507,019`	0.000	0.999	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	0.999	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	0.999	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.999	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	0.999	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	0.999	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	0.999	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	0.999	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	0.999	0.000
rs1641549 lBF = `0.0711876` Chr`17` : `7,574,775`	0.000	0.999	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	0.999	0.000
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.000	0.999	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	0.999	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	0.999	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	0.999	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	0.999	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	0.999	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	0.999	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	0.999	0.000
rs9907309 lBF = `0.581202` Chr`17` : `14,938,944`	0.000	0.999	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	0.999	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	0.999	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	0.999	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	0.999	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	0.999	0.000
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.000	0.999	0.000
rs1663189 lBF = `-0.050365` Chr`17` : `77,889,055`	0.000	0.999	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	1.000	0.000
rs9901225 lBF = `0.0666571` Chr`17` : `40,755,811`	0.000	1.000	0.000
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs12449465 lBF = `0.00986509` Chr`17` : `3,029,554`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs11654699 lBF = `-0.124536` Chr`17` : `30,903,310`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.6226

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3600

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.2402

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9753

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.9618

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9506

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9368

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9269

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9186

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9161

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9108

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.9062

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8840

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8781

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8677

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8584

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8568

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8519

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8488

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8452

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8426

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8345

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8137

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8128

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8105

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8085

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8080

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8038

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8012

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7962

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7927

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7924

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7765

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7748

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7718

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7675

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7608

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7477

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7474

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7270

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7179

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7168

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7166

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7166

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7164

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7164

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7163

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7162

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7161

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7159

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7159

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7153

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7148

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7147

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7138

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7138

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7128

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7128

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7127

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7127

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7117

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7116

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7116

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7081

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7080

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7078

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7072

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7069

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7068

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7064

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7053

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7045

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7044

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7043

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7038

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7035

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7033

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6975

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6967

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6950

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6949

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6934

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6934

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6924

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6918

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6907

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6858

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6853

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6831

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6830

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6795

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6762

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6696

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6691

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6628

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6623

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6544

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6542

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6524

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6521

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.6498

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6498

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6495

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6479

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6471

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6330

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6282

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6279

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6275

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6262

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6249

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6232

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6192

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6053

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6050

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6048

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6043

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5982

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5960

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.5931

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5927

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5893

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5887

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5886

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5876

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5872

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5841

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5803

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5733

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5678

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5612

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5582

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5567

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5544

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5503

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5480

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5473

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5362

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5260

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5258

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5241

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5237

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5234

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5067

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5012

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4985

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4902

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4901

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4889

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4866

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4832

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4713

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4562

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4552

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4502

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4348

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4313

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4296

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4053

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3975

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3945

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3722

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3676

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3603

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3484

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3395

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3252

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3105

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2956

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2883

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2866

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2821

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2540

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2463

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2433

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2267

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2139

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2128

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2027

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1956

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1866

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1788

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1717

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1666

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1653

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1647

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1384

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1370

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1354

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1310

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0959

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0933

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.0880

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0803

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0758

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0748

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0639

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0593

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0515

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)