TreeWAS – [C79.4] Secondary malignant neoplasm of other and unspecified parts of nervous system

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
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.205	0.795
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.795	0.205	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.753	0.247	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.724	0.276	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.717	0.283	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.715	0.284	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.708	0.292	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.708	0.292	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.694	0.306	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.692	0.308	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.689	0.311	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.685	0.314	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.682	0.318	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.682	0.318	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.674	0.325	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.665	0.335	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.658	0.342	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.649	0.351	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.646	0.354	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.643	0.356	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.640	0.360	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.631	0.369	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.603	0.397	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.599	0.401	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.586	0.414	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.579	0.421	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.576	0.424	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.572	0.428	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.564	0.436	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.556	0.444	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.526	0.474	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.515	0.485	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.487	0.513	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.486	0.514	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.482	0.518	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.459	0.541	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.418	0.582	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.415	0.584	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.414	0.586	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.396	0.604	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.351	0.649	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.341	0.659	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.324	0.676	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.307	0.693	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.290	0.709	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.277	0.722	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.263	0.736	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.243	0.757	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.220	0.779	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.215	0.785	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.211	0.789	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.207	0.792	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.207	0.793	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.202	0.797	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.202	0.797	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.201	0.799	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.196	0.804	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.192	0.808	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.191	0.809	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.184	0.816	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.182	0.818	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.170	0.829	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.164	0.836	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.154	0.846	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.142	0.858	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.135	0.865	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.131	0.869	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.131	0.869	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.125	0.875	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.124	0.876	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.120	0.880	0.001
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.117	0.883	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.116	0.883	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.884	0.115
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.002	0.893	0.106
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.106	0.894	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.102	0.898	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.089	0.911	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.089	0.911	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.082	0.917	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.081	0.918	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.081	0.919	0.000
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	0.931	0.069
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.000	0.931	0.069
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.066	0.934	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.062	0.938	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.051	0.949	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.048	0.951	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.047	0.952	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.039	0.960	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.039	0.961	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.038	0.962	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	0.964	0.036
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.035	0.965	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	0.965	0.035
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.002	0.965	0.033
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.032	0.967	0.001
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.030	0.969	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.029	0.970	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.030	0.970	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.029	0.971	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.028	0.971	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.028	0.972	0.001
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.028	0.972	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.027	0.972	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.027	0.973	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.025	0.975	0.000
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.024	0.976	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.023	0.977	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.022	0.977	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.022	0.978	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.021	0.979	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.020	0.980	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.017	0.983	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.016	0.984	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	0.985	0.015
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.015	0.985	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.015	0.985	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.013	0.986	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.013	0.987	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	0.990	0.009
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.009	0.991	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.006	0.991	0.003
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.009	0.991	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	0.993	0.007
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.006	0.993	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.004	0.994	0.002
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	0.994	0.006
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.006	0.994	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.006	0.994	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.005	0.995	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.004	0.995	0.001
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.000	0.995	0.005
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.005	0.995	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.005	0.995	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.004	0.996	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.004	0.996	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.003	0.997	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.003	0.997	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.003	0.997	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.003	0.997	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.003	0.997	0.000
rs2079515 lBF = `-0.10604` Chr`17` : `68,913,506`	0.000	0.997	0.002
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.997	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.997	0.002
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.002	0.998	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	0.998	0.002
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.002	0.998	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.002	0.998	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.002	0.998	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	0.998	0.002
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.002	0.998	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.000	0.998	0.002
rs9890514 lBF = `0.00366938` Chr`17` : `46,738,883`	0.000	0.998	0.001
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.001	0.999	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.000	0.999	0.001
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.001	0.999	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.001	0.999	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.001	0.999	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.001	0.999	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.001	0.999	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.001	0.999	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.001	0.999	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs7217319 lBF = `-0.0860359` Chr`17` : `38,924`	0.001	0.999	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.001	0.999	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.000	0.999	0.001
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.000	0.999	0.001
rs9889296 lBF = `-0.0525696` Chr`17` : `32,570,547`	0.000	0.999	0.001
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	0.999	0.001
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.001	0.999	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	0.999	0.001
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.001	0.999	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.001	0.999	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.001	0.999	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
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
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rs6565681 lBF = `-0.0627288` Chr`17` : `78,348,494`	0.000	1.000	0.000
rs12950743 lBF = `13.9014` Chr`17` : `38,049,233`	0.000	1.000	0.000
Affx-52331281 lBF = `13.227` Chr`17` : `38,028,633`	0.000	1.000	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.000	1.000	0.000
rs4795406 lBF = `6.87863` Chr`17` : `38,100,134`	0.000	1.000	0.000
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.000	1.000	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	1.000	0.000
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.000	1.000	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	1.000	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.000	1.000	0.000
rs2289681 lBF = `0.280258` Chr`17` : `42,989,088`	0.000	1.000	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs4144743 lBF = `-0.00182064` Chr`17` : `45,323,125`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs2009196 lBF = `-0.0456618` Chr`17` : `76,870,581`	0.000	1.000	0.000
rs12948394 lBF = `-0.0563817` Chr`17` : `76,382,791`	0.000	1.000	0.000
rs704 lBF = `-0.082454` Chr`17` : `26,694,861`	0.000	1.000	0.000
rs12601991 lBF = `14.0917` Chr`17` : `36,101,633`	0.000	1.000	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.000	1.000	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs4148008 lBF = `0.0447219` Chr`17` : `66,875,294`	0.000	1.000	0.000
rs17761864 lBF = `0.0184136` Chr`17` : `2,171,637`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs8073783 lBF = `-0.0163119` Chr`17` : `51,237,941`	0.000	1.000	0.000
rs8077889 lBF = `-0.0167242` Chr`17` : `41,878,166`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.000	1.000	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	1.000	0.000
rs9892651 lBF = `-0.0651436` Chr`17` : `64,303,793`	0.000	1.000	0.000
rs12600394 lBF = `-0.0688881` Chr`17` : `14,517,467`	0.000	1.000	0.000
rs9912468 lBF = `-0.0734971` Chr`17` : `64,318,357`	0.000	1.000	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	1.000	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	1.000	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.000	1.000	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	1.000	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.000	1.000	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	1.000	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	1.000	0.000
rs3110496 lBF = `1.23808` Chr`17` : `27,917,771`	0.000	1.000	0.000
rs5415 lBF = `0.583017` Chr`17` : `7,184,481`	0.000	1.000	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	1.000	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.000	1.000	0.000
rs906175 lBF = `0.0194719` Chr`17` : `79,173,462`	0.000	1.000	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs35219335 lBF = `-0.0135019` Chr`17` : `10,077,836`	0.000	1.000	0.000
rs7209847 lBF = `-0.025317` Chr`17` : `12,804,550`	0.000	1.000	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs271674 lBF = `-0.0396692` Chr`17` : `47,978,986`	0.000	1.000	0.000
rs1877644 lBF = `-0.0397122` Chr`17` : `11,342,608`	0.000	1.000	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.000	1.000	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	1.000	0.000
rs4796604 lBF = `-0.0670436` Chr`17` : `39,890,876`	0.000	1.000	0.000
rs8067287 lBF = `-0.0678228` Chr`17` : `16,816,656`	0.000	1.000	0.000
rs3091316 lBF = `-0.0699381` Chr`17` : `32,593,974`	0.000	1.000	0.000
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.000	1.000	0.000
rs12601358 lBF = `-0.0774552` Chr`17` : `11,094,177`	0.000	1.000	0.000
rs10775360 lBF = `-0.108353` Chr`17` : `68,325,868`	0.000	1.000	0.000
rs9303280 lBF = `13.2746` Chr`17` : `38,074,031`	0.000	1.000	0.000
rs4794820 lBF = `9.98152` Chr`17` : `38,089,344`	0.000	1.000	0.000
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	1.000	0.000
rs3859192 lBF = `3.26845` Chr`17` : `38,128,648`	0.000	1.000	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	1.000	0.000
rs9303542 lBF = `0.852029` Chr`17` : `46,411,500`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	1.000	0.000
rs3744061 lBF = `0.0157117` Chr`17` : `74,733,403`	0.000	1.000	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	1.000	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	1.000	0.000
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.000	1.000	0.000
rs4796285 lBF = `-0.00752796` Chr`17` : `35,181,996`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

0.8143

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7166

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5449

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9894

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9843

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9778

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9777

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9752

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9727

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9246

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9159

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9104

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8870

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8837

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8831

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8719

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8625

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8619

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8609

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8515

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8453

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8453

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8321

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8277

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8276

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8204

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8199

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8193

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8182

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8011

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7986

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7901

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7814

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7812

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.7788

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7740

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7648

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7618

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7477

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7462

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7327

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7238

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7166

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7164

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7162

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7162

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7156

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7143

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7142

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7135

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7111

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7071

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7065

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7062

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7047

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7041

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6975

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6896

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6855

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6814

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6664

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6643

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6641

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6618

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6435

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6411

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6334

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.6324

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6207

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6203

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6164

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5955

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5847

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5746

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5723

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5714

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5601

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5351

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.5332

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5095

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4627

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4483

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4267

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4169

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4004

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3584

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3555

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3427

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3393

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3365

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3167

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3041

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2915

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2910

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2903

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2612

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2516

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2414

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2379

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2371

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2203

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2017

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1822

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1754

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1683

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1524

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1296

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1182

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1125

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1084

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0876

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0837

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0733

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0708

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0679

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0640

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0604

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0560

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0516

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`)