TreeWAS – [D15.7] Other specified intrathoracic organs

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
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.549	0.450	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.514	0.486	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.514	0.486	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.514	0.486	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.507	0.492	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.505	0.494	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.503	0.497	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.494	0.506	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.488	0.512	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.486	0.513	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.478	0.522	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.478	0.522	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.463	0.537	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.462	0.538	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.447	0.553	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.446	0.553	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.438	0.561	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.435	0.565	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.422	0.578	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.420	0.580	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.413	0.587	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.406	0.594	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.405	0.595	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.393	0.607	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.383	0.617	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.371	0.628	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.348	0.652	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.345	0.655	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.339	0.661	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.338	0.662	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.336	0.664	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.329	0.671	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.320	0.680	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.306	0.694	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.225	0.774	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.223	0.776	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.218	0.782	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.217	0.783	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.211	0.789	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.210	0.789	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.204	0.795	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.195	0.805	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.190	0.810	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.186	0.813	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.182	0.818	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.169	0.831	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.168	0.832	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.166	0.834	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.166	0.834	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.156	0.844	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.153	0.847	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.140	0.860	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.137	0.863	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.137	0.863	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.104	0.895	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.091	0.908	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.084	0.915	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.078	0.922	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.078	0.922	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.075	0.925	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.072	0.928	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.067	0.933	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.059	0.941	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.054	0.946	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.051	0.949	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.049	0.951	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.045	0.954	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.000	0.960	0.039
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.038	0.962	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.033	0.967	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.030	0.970	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.030	0.970	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.028	0.972	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.026	0.973	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.022	0.978	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.022	0.978	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.021	0.979	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.020	0.980	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.018	0.981	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.016	0.984	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.016	0.984	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.015	0.985	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.014	0.985	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.014	0.986	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.014	0.986	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.013	0.986	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.011	0.988	0.001
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.012	0.988	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.011	0.989	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.010	0.990	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.009	0.991	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.008	0.992	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.008	0.992	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.002	0.993	0.005
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.004	0.995	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.004	0.996	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.004	0.996	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.996	0.004
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.997	0.003
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.003	0.997	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.002	0.997	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.002	0.997	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.997	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.002	0.998	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.002	0.998	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.002	0.998	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.998	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.998	0.002
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.002	0.998	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.002	0.998	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.002	0.998	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.002	0.998	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.001	0.998	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.998	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.001	0.999	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.999	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.999	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.001	0.999	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.001	0.999	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.001
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.001	0.999	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	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
rs2302189 lBF = `-0.0703649` Chr`17` : `56,584,205`	0.000	0.999	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	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
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
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
rs188840013 lBF = `0` Chr`17` : `51,992,003`	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
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
rs411988 lBF = `-0.0722544` Chr`17` : `56,709,034`	0.001	0.999	0.000
rs412000 lBF = `-0.073512` Chr`17` : `56,709,058`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.001	0.999	0.000
rs1641537 lBF = `-0.0110716` Chr`17` : `7,545,721`	0.000	0.999	0.001
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.001	0.999	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.001	0.999	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.001	0.999	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.001	0.999	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	0.999	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.000	0.999	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.001	0.999	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.000	0.999	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.000	0.999	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.999	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.999	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	0.999	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.999	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	0.999	0.000
rs906175 lBF = `0.0194719` Chr`17` : `79,173,462`	0.000	0.999	0.001
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.001	0.999	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.000	0.999	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.001	0.999	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.000	0.999	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	0.999	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.000
rs11080055 lBF = `-0.0957219` Chr`17` : `26,649,724`	0.000	0.999	0.000
rs12449568 lBF = `-0.110223` Chr`17` : `54,430,155`	0.000	0.999	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.000	0.999	0.000
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rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	0.999	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.000	0.999	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	0.999	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	0.999	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	0.999	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.000	0.999	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.000	0.999	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	0.999	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	0.999	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	0.999	0.000
rs7211029 lBF = `3.19542` Chr`17` : `77,141,308`	0.000	0.999	0.000
rs916888 lBF = `2.00376` Chr`17` : `44,863,133`	0.000	0.999	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.000	0.999	0.000
rs9303521 lBF = `1.38622` Chr`17` : `43,805,194`	0.000	0.999	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	0.999	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.999	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	0.999	0.000
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	0.999	0.000
rs4148008 lBF = `0.0447219` Chr`17` : `66,875,294`	0.000	0.999	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	0.999	0.000
rs8081523 lBF = `0.0423272` Chr`17` : `76,304,510`	0.000	0.999	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	0.999	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	0.999	0.000
rs4273100 lBF = `0.00102974` Chr`17` : `19,153,417`	0.000	0.999	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.000
rs2716882 lBF = `-0.0045234` Chr`17` : `5,582,334`	0.000	0.999	0.000
rs2326017 lBF = `-0.00508694` Chr`17` : `46,720,565`	0.000	0.999	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	0.999	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.000	0.999	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	0.999	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.000
rs397969 lBF = `-0.0194557` Chr`17` : `19,804,247`	0.000	0.999	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	0.999	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.999	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.999	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	0.999	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	0.999	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	0.999	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	0.999	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	0.999	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	0.999	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	0.999	0.000
rs6504950 lBF = `-0.0717123` Chr`17` : `53,056,471`	0.000	0.999	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	0.999	0.000
rs4794665 lBF = `-0.0725634` Chr`17` : `54,850,329`	0.000	0.999	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	0.999	0.000
rs11871847 lBF = `-0.078445` Chr`17` : `69,281,766`	0.000	0.999	0.000
rs8079658 lBF = `-0.0848228` Chr`17` : `63,791,483`	0.000	0.999	0.000
rs4795519 lBF = `-0.0896733` Chr`17` : `25,541,278`	0.000	0.999	0.000
rs12950390 lBF = `-0.102435` Chr`17` : `45,830,948`	0.000	0.999	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs11078928 lBF = `12.4377` Chr`17` : `38,064,469`	0.000	1.000	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.000	1.000	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.000	1.000	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.000	1.000	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	1.000	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	1.000	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	1.000	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	1.000	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	1.000	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	1.000	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	1.000	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	1.000	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.000	1.000	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	1.000	0.000
rs7221595 lBF = `2.98123` Chr`17` : `4,007,594`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	1.000	0.000
rs216205 lBF = `0.627465` Chr`17` : `2,196,150`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs11079830 lBF = `0.58289` Chr`17` : `46,682,630`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	1.000	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	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

0.5828

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7109

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7078

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7077

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6996

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6912

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6759

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6725

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6714

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6578

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6524

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6438

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6436

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6240

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6222

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6143

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6029

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5896

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5827

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5736

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5724

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5721

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5720

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5709

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5702

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5694

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5651

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5607

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5586

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5492

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5402

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5252

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5208

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5193

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5140

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5140

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5140

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5140

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5140

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5139

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5139

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5139

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5139

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5138

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5138

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5136

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5136

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5135

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5135

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5119

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5118

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5117

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5115

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5114

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5111

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5097

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5082

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5075

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5059

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5058

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5057

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5041

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5037

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4947

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4937

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4919

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4845

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4775

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4748

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4730

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4710

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4693

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4660

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4636

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4625

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4594

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4558

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4515

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4475

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4461

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4331

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4301

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4278

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4120

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4006

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3955

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3817

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3541

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3367

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3324

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3251

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3136

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3116

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2957

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2936

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2853

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2772

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2533

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2512

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2241

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2137

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2127

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2021

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1986

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1975

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1698

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1560

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1540

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1431

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0933

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0895

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0830

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0777

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0710

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0701

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0686

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0648

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0613

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0612

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0571

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0506

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`)