TreeWAS – [Z75.9] Unspecified problem related to medical facilities and other health care

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
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.649	0.350	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.639	0.361	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.574	0.426	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.565	0.434	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.565	0.435	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.543	0.457	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.526	0.474	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.505	0.495	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.486	0.514	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.482	0.518	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.480	0.520	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.471	0.529	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.470	0.530	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.469	0.531	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.461	0.539	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.461	0.539	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.440	0.560	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.416	0.584	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.402	0.597	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.401	0.598	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.392	0.607	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.389	0.611	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.378	0.622	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.355	0.645	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.342	0.658	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.329	0.670	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.329	0.671	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.327	0.673	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.323	0.677	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.320	0.679	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.319	0.681	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.315	0.684	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.314	0.685	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.309	0.691	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.306	0.694	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.305	0.695	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.292	0.707	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.288	0.711	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.288	0.712	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.279	0.721	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.275	0.725	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.271	0.729	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.265	0.735	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.254	0.746	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.249	0.751	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.245	0.754	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.243	0.757	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.242	0.758	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.241	0.759	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.235	0.765	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.234	0.766	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.234	0.766	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.225	0.775	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.223	0.777	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.220	0.780	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.218	0.782	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.217	0.783	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.212	0.788	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.209	0.790	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.197	0.803	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.188	0.812	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.183	0.816	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.183	0.817	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.174	0.825	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.170	0.830	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.169	0.830	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.169	0.831	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.168	0.831	0.001
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.159	0.840	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.157	0.843	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.154	0.846	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.139	0.861	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.133	0.867	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.130	0.870	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.130	0.870	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.121	0.879	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.118	0.882	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.117	0.883	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.111	0.889	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.104	0.896	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.103	0.897	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.088	0.912	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.087	0.912	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.085	0.915	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.069	0.931	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.064	0.935	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.063	0.937	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.063	0.937	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.063	0.937	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.061	0.938	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.057	0.943	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.056	0.943	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.055	0.944	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.055	0.945	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.053	0.947	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.956	0.044
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.042	0.958	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.038	0.962	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.036	0.963	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.036	0.964	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.034	0.966	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.031	0.969	0.001
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.029	0.971	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.027	0.973	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.025	0.975	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.023	0.976	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.023	0.977	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.021	0.978	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.021	0.978	0.000
rs8081460 lBF = `0.0270756` Chr`17` : `8,965,272`	0.000	0.979	0.021
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.019	0.981	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.019	0.981	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.018	0.981	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.017	0.983	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.016	0.984	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.015	0.985	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.013	0.987	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.013	0.987	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.011	0.988	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.011	0.989	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.011	0.989	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.011	0.989	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.010	0.990	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.009	0.990	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.009	0.990	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.991	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.009	0.991	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.009	0.991	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.009	0.991	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.008	0.991	0.000
rs2360111 lBF = `-0.113472` Chr`17` : `831,667`	0.000	0.992	0.008
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.008	0.992	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.008	0.992	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.007	0.992	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.007	0.993	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.007	0.993	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.007	0.993	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.006	0.994	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.006	0.994	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.006	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.994	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.004	0.996	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.004	0.996	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.003	0.996	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.996	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.003	0.997	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs4792394 lBF = `-0.0952234` Chr`17` : `13,684,917`	0.000	0.997	0.003
rs6504663 lBF = `-0.043126` Chr`17` : `48,591,209`	0.000	0.997	0.002
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.002	0.998	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.002	0.998	0.001
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.001	0.998	0.001
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.002	0.998	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.001	0.998	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	0.998	0.001
rs314253 lBF = `-0.0961318` Chr`17` : `7,091,650`	0.000	0.998	0.001
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.001
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.001	0.998	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.001	0.998	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	0.998	0.001
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.000	0.998	0.001
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs12449664 lBF = `-0.0585402` Chr`17` : `8,967,067`	0.000	0.999	0.001
rs412000 lBF = `-0.073512` Chr`17` : `56,709,058`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.001	0.999	0.000
rs411988 lBF = `-0.0722544` Chr`17` : `56,709,034`	0.001	0.999	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.001	0.999	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.001	0.999	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.001	0.999	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.001	0.999	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.001	0.999	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
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rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	0.999	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	0.999	0.000
rs3027234 lBF = `-0.0637675` Chr`17` : `8,136,092`	0.000	0.999	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.000	1.000	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	1.000	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	1.000	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs11657044 lBF = `0.832578` Chr`17` : `59,450,105`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs220470 lBF = `0.0547558` Chr`17` : `3,664,975`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.000	1.000	0.000
rs9900972 lBF = `-0.00098845` Chr`17` : `76,868,614`	0.000	1.000	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.000	1.000	0.000
rs17645023 lBF = `-0.0505989` Chr`17` : `64,917,033`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs2315504 lBF = `-0.0661126` Chr`17` : `39,046,881`	0.000	1.000	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
rs1034927 lBF = `5.00381` Chr`17` : `44,334,419`	0.000	1.000	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.000	1.000	0.000
rs2935183 lBF = `-0.018225` Chr`17` : `45,607,572`	0.000	1.000	0.000
rs3204270 lBF = `-0.0223086` Chr`17` : `79,682,051`	0.000	1.000	0.000
rs1549519 lBF = `-0.0354373` Chr`17` : `53,757,787`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs2279913 lBF = `-0.0836422` Chr`17` : `79,168,268`	0.000	1.000	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	1.000	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs55714927 lBF = `-0.0253605` Chr`17` : `7,080,316`	0.000	1.000	0.000
rs4227 lBF = `-0.0357746` Chr`17` : `7,491,177`	0.000	1.000	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	1.000	0.000
rs4986172 lBF = `-0.0437651` Chr`17` : `43,216,281`	0.000	1.000	0.000
rs11651000 lBF = `-0.0471145` Chr`17` : `45,835,278`	0.000	1.000	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	1.000	0.000
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.000	1.000	0.000
rs1503059 lBF = `-0.0679629` Chr`17` : `50,204,456`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	1.000	0.000
rs4795397 lBF = `12.2262` Chr`17` : `38,023,745`	0.000	1.000	0.000
rs12232497 lBF = `12.0727` Chr`17` : `38,040,119`	0.000	1.000	0.000
rs2872507 lBF = `11.9314` Chr`17` : `38,040,763`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4159

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2867

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1929

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7169

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7168

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7168

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7168

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7167

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7167

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7166

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7165

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7165

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7162

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7162

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7158

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7157

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7157

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7157

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7156

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7154

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7153

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7149

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7146

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7141

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7139

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7139

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7136

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7135

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7134

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7118

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7108

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7099

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7092

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7091

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7090

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7089

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7084

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7077

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7075

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7068

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7066

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7063

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7060

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7048

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7046

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7033

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7032

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7026

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7009

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7005

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7005

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6997

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6996

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6990

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6977

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6972

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6953

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6943

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6937

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6916

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6916

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6859

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6852

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6824

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6801

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6782

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6758

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6753

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6742

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6739

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6719

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6718

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6668

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6575

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6556

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6527

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6524

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6510

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6488

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6450

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6414

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6409

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6367

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6321

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6294

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6289

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6267

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6234

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6198

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6189

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6184

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6150

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6132

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6108

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6060

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6050

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5988

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5985

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5971

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5944

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5937

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5909

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5874

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5827

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5753

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5746

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5683

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5666

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5628

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5619

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5594

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5561

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5559

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5501

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5425

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5422

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5387

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5364

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5357

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5343

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5304

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5297

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5234

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5224

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5190

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5123

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5093

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4994

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4991

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4970

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4963

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4959

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4942

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4909

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4890

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4886

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4866

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4847

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4798

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4751

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4716

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4703

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4688

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4686

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4681

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4647

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4644

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4573

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4503

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4438

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4391

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4287

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4270

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4242

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4240

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4188

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4175

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4155

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4131

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4101

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4083

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4014

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3953

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3885

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3783

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3782

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3765

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3540

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3492

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3456

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3404

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3395

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3361

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3287

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3212

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3179

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3166

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3107

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3052

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2911

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2894

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2773

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2636

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2548

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2526

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2376

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2363

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2320

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2109

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1953

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1870

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1837

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1820

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1725

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1449

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1316

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1131

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0935

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0813

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0750

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0613

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`)