TreeWAS – [C80.0] Malignant neoplasm, primary site unknown, so stated

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
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.882	0.118	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.723	0.277	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.677	0.322	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.676	0.324	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.663	0.337	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.637	0.363	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.634	0.366	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.627	0.373	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.611	0.389	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.600	0.400	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.583	0.416	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.572	0.428	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.562	0.438	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.559	0.441	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.542	0.457	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.538	0.462	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.535	0.465	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.531	0.469	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.495	0.504	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.492	0.508	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.484	0.516	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.480	0.519	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.461	0.538	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.461	0.539	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.539	0.461
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.454	0.545	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.423	0.577	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.404	0.595	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.403	0.597	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.399	0.601	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.398	0.602	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.396	0.604	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.395	0.605	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.388	0.612	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.387	0.612	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.385	0.615	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.381	0.618	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.376	0.624	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.373	0.627	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.346	0.653	0.001
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.338	0.662	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.334	0.666	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.313	0.687	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.312	0.688	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.290	0.709	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.281	0.718	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.277	0.723	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.276	0.723	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.269	0.731	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.267	0.733	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.250	0.750	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.222	0.778	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.222	0.778	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.221	0.779	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.220	0.780	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.219	0.781	0.001
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.216	0.784	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.216	0.784	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.211	0.789	0.001
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.205	0.795	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.179	0.820	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.167	0.833	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.158	0.842	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.151	0.849	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.148	0.851	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.146	0.854	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.144	0.856	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.140	0.860	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.138	0.861	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.138	0.861	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.135	0.865	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.134	0.866	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.112	0.888	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.111	0.888	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.107	0.893	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.098	0.902	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.902	0.098
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.088	0.911	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.087	0.913	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.011	0.913	0.076
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.083	0.916	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.081	0.919	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.074	0.925	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.072	0.927	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.072	0.927	0.001
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.071	0.929	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.062	0.937	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.062	0.938	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.056	0.944	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.054	0.945	0.001
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.054	0.946	0.000
rs117964204 lBF = `0.118127` Chr`17` : `48,692,082`	0.054	0.946	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.042	0.958	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.041	0.958	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.040	0.959	0.001
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.037	0.963	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.035	0.965	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.032	0.967	0.000
rs4006360 lBF = `0.00360154` Chr`17` : `39,250,639`	0.000	0.970	0.030
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.029	0.970	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.004	0.971	0.025
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.029	0.971	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.029	0.971	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.027	0.973	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.023	0.977	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.023	0.977	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.019	0.980	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.019	0.981	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.019	0.981	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.017	0.983	0.001
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.017	0.983	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.017	0.983	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.016	0.983	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.016	0.984	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.015	0.985	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.015	0.985	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.013	0.986	0.001
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.014	0.986	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.011	0.986	0.003
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	0.988	0.012
rs7206971 lBF = `-0.0210073` Chr`17` : `45,425,115`	0.000	0.988	0.012
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	0.989	0.011
rs2840044 lBF = `0.763699` Chr`17` : `33,892,068`	0.000	0.990	0.009
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.009	0.991	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.008	0.991	0.000
rs4986044 lBF = `0.0407517` Chr`17` : `21,261,560`	0.008	0.992	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.008	0.992	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.008	0.992	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.007	0.993	0.000
rs7217932 lBF = `0.0728474` Chr`17` : `69,949,016`	0.000	0.994	0.006
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.006	0.994	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.006	0.994	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.006	0.994	0.000
rs3809863 lBF = `-0.110405` Chr`17` : `45,385,012`	0.000	0.994	0.006
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	0.994	0.006
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.006	0.994	0.000
rs75023836 lBF = `0.0141657` Chr`17` : `9,188,598`	0.005	0.995	0.000
rs8072100 lBF = `-0.0332638` Chr`17` : `45,674,687`	0.005	0.995	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.005	0.995	0.000
rs11870935 lBF = `-0.0465656` Chr`17` : `45,732,605`	0.005	0.995	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.004	0.995	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	0.000	0.995	0.005
rs2935183 lBF = `-0.018225` Chr`17` : `45,607,572`	0.005	0.995	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.004	0.996	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.004	0.996	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.004	0.996	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.004	0.996	0.000
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.004	0.996	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.004	0.996	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	0.996	0.004
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.003	0.996	0.000
rs2908972 lBF = `0.401177` Chr`17` : `11,407,259`	0.000	0.996	0.004
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.003	0.996	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.003	0.997	0.000
rs2672886 lBF = `-0.0283686` Chr`17` : `78,781,651`	0.000	0.997	0.003
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
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.003	0.997	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.003	0.997	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.003	0.997	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.000	0.997	0.003
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	0.997	0.003
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.003	0.997	0.000
rs1994884 lBF = `5.45058` Chr`17` : `2,084,008`	0.000	0.998	0.002
rs10852932 lBF = `3.74819` Chr`17` : `2,143,460`	0.000	0.998	0.002
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	0.998	0.002
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.002	0.998	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.002	0.998	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.000	0.998	0.002
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.001	0.998	0.001
rs314253 lBF = `-0.0961318` Chr`17` : `7,091,650`	0.002	0.998	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	0.000	0.998	0.002
rs9914578 lBF = `7.82435` Chr`17` : `2,005,136`	0.000	0.998	0.002
rs8070463 lBF = `0.0889562` Chr`17` : `45,768,836`	0.000	0.998	0.002
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.002	0.998	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	0.998	0.002
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.002	0.998	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.002	0.998	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.000	0.998	0.002
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.002	0.998	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	0.998	0.002
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.002	0.998	0.000
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.000	0.998	0.002
rs60994771 lBF = `0.182084` Chr`17` : `68,800,784`	0.001	0.998	0.000
rs12150665 lBF = `0.148449` Chr`17` : `34,914,787`	0.000	0.998	0.002
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.001	0.998	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.002	0.998	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.002	0.998	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.000	0.999	0.001
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.001	0.999	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.000	0.999	0.001
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.000	0.999	0.001
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.001	0.999	0.000
rs391300 lBF = `1.03278` Chr`17` : `2,216,258`	0.001	0.999	0.000
rs9899891 lBF = `-0.0393476` Chr`17` : `14,629,746`	0.001	0.999	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	0.999	0.001
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.001	0.999	0.000
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rs1052536 lBF = `-0.103965` Chr`17` : `33,331,575`	0.000	0.999	0.001
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.000	0.999	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.000	0.999	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	0.999	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	0.999	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.000	0.999	0.000
rs2079795 lBF = `0.106328` Chr`17` : `59,496,649`	0.000	0.999	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	0.999	0.000
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	0.999	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	0.999	0.000
rs17608059 lBF = `-0.105888` Chr`17` : `13,910,549`	0.000	0.999	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	1.000	0.000
rs1046896 lBF = `-0.091256` Chr`17` : `80,685,533`	0.000	1.000	0.000
rs2079515 lBF = `-0.10604` Chr`17` : `68,913,506`	0.000	1.000	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.000	1.000	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	1.000	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.000	1.000	0.000
rs11658587 lBF = `0.0455008` Chr`17` : `4,901,982`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.000	1.000	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	1.000	0.000
rs4789378 lBF = `-0.110129` Chr`17` : `74,930,366`	0.000	1.000	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.000	1.000	0.000
rs183211 lBF = `4.74945` Chr`17` : `44,788,310`	0.000	1.000	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	1.000	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	1.000	0.000
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.000	1.000	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	1.000	0.000
rs2084881 lBF = `0.376223` Chr`17` : `46,357,120`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs4990638 lBF = `-0.0214831` Chr`17` : `32,972,729`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	1.000	0.000
rs523516 lBF = `-0.069035` Chr`17` : `37,331,345`	0.000	1.000	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.000	1.000	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	1.000	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	1.000	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.000	1.000	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs7224668 lBF = `-0.0447813` Chr`17` : `79,235,788`	0.000	1.000	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
Affx-13928304 lBF = `9.20705` Chr`17` : `43,987,723`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.000	1.000	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs4792192 lBF = `0.0208944` Chr`17` : `11,803,461`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	1.000	0.000
rs898534 lBF = `-0.0541861` Chr`17` : `77,273,513`	0.000	1.000	0.000
rs411988 lBF = `-0.0722544` Chr`17` : `56,709,034`	0.000	1.000	0.000
rs412000 lBF = `-0.073512` Chr`17` : `56,709,058`	0.000	1.000	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.000	1.000	0.000
rs1046875 lBF = `-0.0895966` Chr`17` : `80,685,426`	0.000	1.000	0.000
rs62064224 lBF = `-0.115641` Chr`17` : `30,635,115`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.000	1.000	0.000
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.000	1.000	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	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

0.9984

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5410

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2589

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9999

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9937

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9857

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9677

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9651

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9548

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9535

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9486

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9427

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9364

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9268

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9268

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9228

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9200

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9171

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9165

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9163

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9133

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9111

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9100

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9065

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9054

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8971

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8920

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8863

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8742

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8698

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8688

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8644

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8552

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8528

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8335

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8284

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8261

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8166

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8127

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8089

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8065

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7994

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7923

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7838

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7815

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7653

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7558

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7496

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7413

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7359

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7290

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7265

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7119

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6772

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6734

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6706

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6696

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6470

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6387

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6380

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6340

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6311

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.6245

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6213

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6157

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5959

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5751

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5619

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5549

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5456

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5045

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4976

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4907

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4900

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4898

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4806

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4732

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4612

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4333

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4156

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4107

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3725

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3634

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3615

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3566

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3564

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3364

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.3207

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3056

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2991

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2881

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2849

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2831

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2758

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2754

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2727

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2677

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2633

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2631

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2593

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2545

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2338

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2271

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2197

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2151

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2082

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1913

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1814

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1804

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1788

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1679

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1493

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1434

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1348

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1052

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0971

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0957

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0943

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0913

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0891

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0878

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0794

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0766

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0722

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0658

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0649

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0637

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0564

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0511

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0509

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0502

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`)