TreeWAS – [D36] Benign neoplasm of other and unspecified sites

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D36

Benign neoplasm of other and unspecified sites

Parent term	D10-D36 Benign neoplasms
Nested terms	D36.0 Lymph nodes D36.1 Peripheral nerves and autonomic nervous system D36.7 Other specified sites D36.9 Benign neoplasm of unspecified site

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Variant effects

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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
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.957	0.043	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.934	0.066	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.875	0.125	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.736	0.264	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.719	0.280	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.715	0.285	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.713	0.287	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.704	0.296	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.702	0.298	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.694	0.306	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.674	0.326	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.673	0.327	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.670	0.330	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.657	0.343	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.650	0.350	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.623	0.377	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.621	0.379	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.619	0.381	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.553	0.447	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.547	0.453	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.537	0.463	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.530	0.470	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.527	0.472	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.508	0.492	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.501	0.499	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.495	0.505	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.485	0.515	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.480	0.519	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.469	0.531	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.469	0.531	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.458	0.541	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.446	0.554	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.424	0.576	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.412	0.588	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.322	0.678	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.320	0.680	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.317	0.683	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.296	0.704	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.296	0.704	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.290	0.710	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.285	0.715	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.275	0.725	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.267	0.733	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.266	0.733	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.254	0.746	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.244	0.756	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.235	0.765	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.215	0.785	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.212	0.788	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.212	0.788	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.200	0.800	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.187	0.813	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.174	0.826	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.161	0.839	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.145	0.855	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.137	0.863	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.120	0.880	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.117	0.883	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.110	0.889	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.108	0.892	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.096	0.904	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.090	0.910	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.083	0.917	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.074	0.926	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.065	0.935	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.058	0.942	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.000	0.942	0.058
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.055	0.945	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.050	0.950	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.048	0.952	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.044	0.956	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.041	0.958	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.039	0.961	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.036	0.964	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.036	0.964	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.029	0.971	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.029	0.971	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.022	0.978	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.021	0.979	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.021	0.979	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.021	0.979	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.021	0.979	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.020	0.980	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.020	0.980	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.019	0.981	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.016	0.984	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.016	0.984	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.014	0.986	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.013	0.986	0.001
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.013	0.986	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.013	0.987	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.012	0.988	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.010	0.990	0.000
rs6504909 lBF = `-0.00947766` Chr`17` : `52,548,125`	0.010	0.990	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.009	0.990	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.003	0.990	0.007
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.009	0.991	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.007	0.993	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.006	0.994	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.005	0.995	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.005	0.995	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.995	0.004
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.000	0.995	0.005
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.004	0.996	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.004	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.004	0.996	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.996	0.004
rs1401796 lBF = `-0.0840115` Chr`17` : `54,839,759`	0.000	0.996	0.004
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.004	0.996	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	0.996	0.004
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.003	0.996	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.003	0.996	0.000
rs1401795 lBF = `-0.0743849` Chr`17` : `54,839,652`	0.000	0.997	0.003
rs3794742 lBF = `-0.0439897` Chr`17` : `76,165,548`	0.003	0.997	0.000
rs164009 lBF = `-0.0778174` Chr`17` : `74,283,669`	0.003	0.997	0.000
rs346785 lBF = `-0.0614293` Chr`17` : `74,283,769`	0.003	0.997	0.000
rs2075230 lBF = `-0.00511233` Chr`17` : `7,487,108`	0.003	0.997	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.003	0.997	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.003	0.997	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	0.997	0.003
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.003	0.997	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	0.997	0.003
rs4794665 lBF = `-0.0725634` Chr`17` : `54,850,329`	0.000	0.997	0.003
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.998	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.002	0.998	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.998	0.002
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.002	0.998	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	0.998	0.002
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.002	0.998	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.002	0.998	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	0.998	0.002
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.002	0.998	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.002	0.998	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.002	0.998	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.002	0.998	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	0.998	0.002
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.001	0.998	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.998	0.001
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.001	0.998	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.998	0.000
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	0.999	0.001
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.999	0.000
rs4625783 lBF = `-0.0606171` Chr`17` : `80,086,395`	0.001	0.999	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.001	0.999	0.000
rs4792793 lBF = `0.0529756` Chr`17` : `16,816,543`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.001
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.001	0.999	0.000
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.000	0.999	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
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
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
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.001	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.999	0.000
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.001	0.999	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.000	0.999	0.001
rs4273077 lBF = `-0.0281979` Chr`17` : `16,849,139`	0.001	0.999	0.000
rs8066857 lBF = `-0.0364293` Chr`17` : `70,696,103`	0.000	0.999	0.001
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.001	0.999	0.000
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rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs2159292 lBF = `0.0219832` Chr`17` : `11,163,192`	0.000	1.000	0.000
rs7224314 lBF = `0.00627329` Chr`17` : `65,386,214`	0.000	1.000	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	1.000	0.000
rs9900205 lBF = `-0.0886445` Chr`17` : `64,715,108`	0.000	1.000	0.000
rs6565653 lBF = `-0.0892474` Chr`17` : `78,201,783`	0.000	1.000	0.000
rs10775360 lBF = `-0.108353` Chr`17` : `68,325,868`	0.000	1.000	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	1.000	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.000	1.000	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs4925166 lBF = `0.164964` Chr`17` : `18,210,810`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	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
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	1.000	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs4129767 lBF = `-0.0382041` Chr`17` : `76,403,984`	0.000	1.000	0.000
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	1.000	0.000
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	1.000	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.000	1.000	0.000
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	1.000	0.000
rs507506 lBF = `0.39092` Chr`17` : `7,118,322`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs12949451 lBF = `0.115812` Chr`17` : `73,032,319`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs8076336 lBF = `0.00464987` Chr`17` : `18,212,614`	0.000	1.000	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	1.000	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.000	1.000	0.000
rs7210837 lBF = `-0.0787942` Chr`17` : `16,764,978`	0.000	1.000	0.000
rs225190 lBF = `-0.108737` Chr`17` : `30,877,658`	0.000	1.000	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.000	1.000	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.000	1.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.000	1.000	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	1.000	0.000
rs17610181 lBF = `2.0868` Chr`17` : `59,667,953`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	1.000	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs2289681 lBF = `0.280258` Chr`17` : `42,989,088`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs228769 lBF = `0.109429` Chr`17` : `42,193,185`	0.000	1.000	0.000
rs9901225 lBF = `0.0666571` Chr`17` : `40,755,811`	0.000	1.000	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	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
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	1.000	0.000
rs8080944 lBF = `-0.0663744` Chr`17` : `68,185,586`	0.000	1.000	0.000
rs8079702 lBF = `-0.0689908` Chr`17` : `68,190,826`	0.000	1.000	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	1.000	0.000
rs320637 lBF = `-0.0934327` Chr`17` : `31,665,328`	0.000	1.000	0.000
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	1.000	0.000
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	1.000	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.000	1.000	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs5415 lBF = `0.583017` Chr`17` : `7,184,481`	0.000	1.000	0.000
rs12938078 lBF = `0.273225` Chr`17` : `55,743,277`	0.000	1.000	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	1.000	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6168

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1507

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9984

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9983

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9982

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9977

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9960

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9895

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9867

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9865

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9819

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9696

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9611

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9599

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9559

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9465

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9428

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9419

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9415

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9245

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9079

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8980

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8882

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8827

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8824

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8550

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8522

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8515

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8491

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8430

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8401

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8215

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8174

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8156

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8130

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8125

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8063

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8054

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8028

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8015

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7990

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7982

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7774

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7750

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7618

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7523

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7515

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7469

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7404

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7393

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7372

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7362

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7339

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.7303

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7251

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7221

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7195

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7148

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7053

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7023

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6965

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6907

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6881

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6766

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6655

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6603

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6599

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6598

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6597

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6472

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6426

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6383

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6344

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6220

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6159

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6097

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6046

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6016

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6010

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6004

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5773

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5746

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5734

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5699

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5542

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5469

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5466

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5423

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5411

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5343

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5271

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5143

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5139

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5098

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5074

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5013

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4866

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4821

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4620

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4565

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4522

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4475

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4414

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4117

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3843

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3717

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3684

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3620

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3601

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3415

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3341

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3177

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3092

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3003

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2971

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2914

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2685

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2607

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2562

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2515

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2499

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2498

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2490

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2465

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2461

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2385

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2350

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2140

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2079

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1781

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1750

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1693

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1619

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1548

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1482

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1470

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1090

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1030

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0972

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0826

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0761

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0694

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0592

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0568

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0512

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)

Hospitalization Episode Statistics (`HES`)