TreeWAS – [Z48.9] Surgical follow-up care, unspecified

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`	0.859	0.141	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.719	0.281	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.653	0.347	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.648	0.352	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.590	0.410	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.549	0.451	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.530	0.470	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.518	0.482	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.510	0.490	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.496	0.504	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.492	0.508	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.451	0.549	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.449	0.551	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.440	0.560	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.432	0.568	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.430	0.570	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.425	0.575	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.403	0.597	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.403	0.597	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.371	0.629	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.370	0.630	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.363	0.636	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.358	0.641	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.351	0.648	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.338	0.662	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.303	0.696	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.303	0.697	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.295	0.705	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.292	0.708	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.285	0.715	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.275	0.724	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.271	0.729	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.270	0.730	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.261	0.738	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.243	0.757	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.241	0.758	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.236	0.764	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.232	0.768	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.222	0.778	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.212	0.788	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.202	0.798	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.182	0.817	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.179	0.821	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.174	0.826	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.172	0.827	0.002
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.171	0.829	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.167	0.833	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.161	0.839	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.153	0.847	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.149	0.850	0.001
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.140	0.860	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.133	0.867	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.131	0.869	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.091	0.909	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.084	0.915	0.001
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.081	0.919	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.080	0.919	0.001
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.079	0.920	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.064	0.936	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.058	0.942	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.056	0.944	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.052	0.948	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.049	0.951	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.044	0.955	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.038	0.961	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.038	0.962	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.963	0.037
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.036	0.964	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.033	0.967	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.030	0.970	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.028	0.971	0.001
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.027	0.973	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.023	0.977	0.000
rs412000 lBF = `-0.073512` Chr`17` : `56,709,058`	0.021	0.979	0.000
rs411988 lBF = `-0.0722544` Chr`17` : `56,709,034`	0.020	0.980	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.016	0.984	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.016	0.984	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.016	0.984	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.015	0.985	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.014	0.986	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.013	0.986	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.011	0.989	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.011	0.989	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.011	0.989	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.010	0.990	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.991	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.008	0.992	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.007	0.992	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.007	0.992	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.008	0.992	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.008	0.992	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.007	0.992	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.993	0.007
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	0.993	0.007
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.006	0.993	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.006	0.993	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.006	0.994	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.006	0.994	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	0.994	0.006
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	0.994	0.006
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.006	0.994	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.005	0.994	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.005	0.994	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.005	0.994	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.005	0.995	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.005	0.995	0.000
rs4796217 lBF = `-0.0590889` Chr`17` : `34,819,191`	0.004	0.996	0.000
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.000	0.996	0.004
rs3889237 lBF = `-0.0929532` Chr`17` : `64,779,430`	0.004	0.996	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.003	0.997	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.003	0.997	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.997	0.003
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.003	0.997	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.003	0.997	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.003	0.997	0.000
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.003	0.997	0.000
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.003	0.997	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.002	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.002	0.998	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.002	0.998	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.002	0.998	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.002	0.998	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	0.998	0.002
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.002	0.998	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.002	0.998	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.002	0.998	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.002	0.998	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.002	0.998	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.002	0.998	0.000
rs11545787 lBF = `-0.0420883` Chr`17` : `17,398,278`	0.000	0.998	0.002
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.000	0.998	0.002
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.002	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.002	0.998	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.001	0.998	0.001
rs1107748 lBF = `-0.0292036` Chr`17` : `41,773,814`	0.000	0.998	0.002
rs1696756 lBF = `-0.0491303` Chr`17` : `77,827,973`	0.000	0.998	0.002
rs11653144 lBF = `0.4146` Chr`17` : `27,675,226`	0.002	0.998	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.002	0.998	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.001	0.998	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.001	0.999	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.001	0.999	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.001	0.999	0.001
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.001	0.999	0.000
rs10445407 lBF = `-0.083493` Chr`17` : `79,261,809`	0.000	0.999	0.001
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	0.999	0.001
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	0.999	0.001
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	0.999	0.001
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.001	0.999	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.001	0.999	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.001	0.999	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	0.999	0.001
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.001	0.999	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.001	0.999	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.001	0.999	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.001	0.999	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	0.999	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.001	0.999	0.000
rs7220711 lBF = `0.388513` Chr`17` : `41,789,965`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.001	0.999	0.000
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
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
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	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
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
rs188757965 lBF = `0` Chr`17` : `41,119,569`	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
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	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
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.001	0.999	0.000
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rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.000	1.000	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	1.000	0.000
rs2453580 lBF = `-0.0891733` Chr`17` : `19,438,321`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.000	1.000	0.000
rs870829 lBF = `5.15067` Chr`17` : `38,068,382`	0.000	1.000	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs1513670 lBF = `-0.0762696` Chr`17` : `41,807,331`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	1.000	0.000
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	1.000	0.000
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs17183295 lBF = `0.349161` Chr`17` : `31,078,272`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.000	1.000	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.000	1.000	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs7206961 lBF = `0.0336412` Chr`17` : `72,042,520`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs9891572 lBF = `-0.0887405` Chr`17` : `2,428,508`	0.000	1.000	0.000
rs7209700 lBF = `-0.0934874` Chr`17` : `45,351,118`	0.000	1.000	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.000	1.000	0.000
rs7224737 lBF = `-0.0661672` Chr`17` : `40,289,364`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
rs9896933 lBF = `-0.0757205` Chr`17` : `80,898,088`	0.000	1.000	0.000
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.000	1.000	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.000	1.000	0.000
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs4792192 lBF = `0.0208944` Chr`17` : `11,803,461`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	1.000	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.000	1.000	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	1.000	0.000
Affx-13851073 lBF = `12.5709` Chr`17` : `38,080,865`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs929474 lBF = `-0.0507548` Chr`17` : `68,724,036`	0.000	1.000	0.000
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.000	1.000	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	1.000	0.000
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	1.000	0.000
rs227584 lBF = `0.397184` Chr`17` : `42,225,547`	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

0.6547

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4610

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9909

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9637

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9626

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9199

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9187

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8978

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8828

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8771

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8765

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8542

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8166

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7933

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7890

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7873

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7610

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7520

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7362

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7288

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7212

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7080

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7028

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6420

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6017

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5893

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5649

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5612

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5505

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5414

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5412

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5297

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4950

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4789

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4518

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4478

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4330

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4243

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4156

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4120

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4055

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3794

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3693

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3662

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3627

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3524

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3329

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3199

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3158

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3146

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3117

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2928

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2777

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2709

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2615

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2558

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2479

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2094

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2073

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2024

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1960

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1900

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1750

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1684

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1668

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1631

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1519

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1486

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1393

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1363

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1305

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1277

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1261

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1258

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1203

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1193

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1134

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1131

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1082

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1075

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1050

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1025

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1012

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0996

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0986

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0896

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0888

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0886

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0751

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0741

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0737

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0696

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0681

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0641

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0622

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0510

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0505

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0500

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`)