TreeWAS – [K43.0] Ventral hernia with obstruction, without gangrene

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
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.701	0.299	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.601	0.399	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.560	0.440	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.505	0.495	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.462	0.538	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.457	0.543	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.447	0.553	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.402	0.598	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.398	0.601	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.382	0.618	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.375	0.625	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.341	0.659	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.321	0.679	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.285	0.715	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.278	0.722	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.269	0.731	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.267	0.733	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.263	0.737	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.262	0.738	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.252	0.748	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.251	0.749	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.222	0.778	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.212	0.788	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.207	0.793	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.187	0.813	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.179	0.821	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.176	0.824	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.168	0.832	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.161	0.839	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.159	0.840	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.157	0.843	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.149	0.851	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.146	0.853	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.143	0.856	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.138	0.861	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.134	0.866	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.128	0.871	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.126	0.874	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.122	0.877	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.115	0.884	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.114	0.886	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.105	0.894	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.104	0.896	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.086	0.914	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.080	0.920	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.076	0.923	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.075	0.925	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.066	0.933	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.063	0.937	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.056	0.944	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.053	0.947	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.052	0.948	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.051	0.949	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.051	0.949	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.050	0.950	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.048	0.951	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.041	0.959	0.001
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.039	0.960	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.038	0.961	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.035	0.965	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.033	0.967	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.032	0.968	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.030	0.970	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.028	0.971	0.001
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.029	0.971	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.028	0.972	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.028	0.972	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.026	0.973	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.022	0.977	0.001
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.000	0.979	0.021
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.021	0.979	0.001
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.020	0.980	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.019	0.980	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.019	0.981	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.019	0.981	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.017	0.983	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.016	0.983	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.016	0.983	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.015	0.985	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	0.986	0.014
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.013	0.987	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.013	0.987	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.013	0.987	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.011	0.989	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.010	0.989	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.010	0.990	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.010	0.990	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.010	0.990	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.008	0.992	0.000
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.007	0.993	0.000
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.007	0.993	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.007	0.993	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.007	0.993	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.007	0.993	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.007	0.993	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.006	0.994	0.000
rs9915657 lBF = `1.06444` Chr`17` : `70,127,536`	0.006	0.994	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.006	0.994	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.006	0.994	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.994	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.005	0.995	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.005	0.995	0.000
rs3110643 lBF = `0.00604654` Chr`17` : `36,073,492`	0.000	0.995	0.005
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.005	0.995	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.004	0.995	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.005	0.995	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.004	0.996	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.004	0.996	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.004	0.996	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.004	0.996	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.004	0.996	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.004	0.996	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.004	0.996	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.004	0.996	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.004	0.996	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.004	0.996	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.003	0.996	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.003	0.997	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.003	0.997	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.003	0.997	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.003	0.997	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.003	0.997	0.000
Affx-13930186 lBF = `8.87319` Chr`17` : `44,098,861`	0.003	0.997	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.003	0.997	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.003	0.997	0.000
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.003	0.997	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.003	0.997	0.000
Affx-13924388 lBF = `9.2939` Chr`17` : `43,749,454`	0.003	0.997	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.003	0.997	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.003	0.997	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.003	0.997	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.003	0.997	0.000
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	0.997	0.003
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.003	0.997	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.002	0.997	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.002	0.997	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.002	0.997	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.002	0.998	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.002	0.998	0.000
rs1642764 lBF = `0.0051968` Chr`17` : `7,557,834`	0.002	0.998	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.002	0.998	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.002	0.998	0.000
Affx-13923864 lBF = `9.42808` Chr`17` : `43,709,415`	0.002	0.998	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.002	0.998	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.002	0.998	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.002	0.998	0.000
Affx-13926468 lBF = `8.66564` Chr`17` : `43,871,982`	0.002	0.998	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.002	0.998	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.002	0.998	0.000
Affx-13925660 lBF = `9.09124` Chr`17` : `43,823,229`	0.002	0.998	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.002	0.998	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.002	0.998	0.000
Affx-13924269 lBF = `9.06314` Chr`17` : `43,740,856`	0.002	0.998	0.000
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	0.998	0.002
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.002	0.998	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.002	0.998	0.000
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.000	0.998	0.002
Affx-13928850 lBF = `7.97634` Chr`17` : `44,017,124`	0.002	0.998	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.002	0.998	0.000
rs4065321 lBF = `0.345045` Chr`17` : `38,143,548`	0.000	0.998	0.002
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.002	0.998	0.000
Affx-13924541 lBF = `8.41294` Chr`17` : `43,757,161`	0.002	0.998	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.002	0.998	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.002	0.998	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.002	0.998	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.002	0.998	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.002	0.998	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.002	0.998	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.002	0.998	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.002	0.998	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.001
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.001	0.998	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.002	0.998	0.000
rs3816995 lBF = `0.0613038` Chr`17` : `71,335,260`	0.002	0.998	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.002	0.998	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.002	0.998	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.001	0.998	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.001	0.998	0.000
Affx-13923840 lBF = `8.92182` Chr`17` : `43,707,619`	0.002	0.998	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.001	0.998	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.001	0.999	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.001	0.999	0.000
rs2942164 lBF = `8.97968` Chr`17` : `43,721,283`	0.001	0.999	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.001	0.999	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.001	0.999	0.001
rs2942168 lBF = `9.05862` Chr`17` : `43,714,850`	0.001	0.999	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.001	0.999	0.000
Affx-13924687 lBF = `9.49525` Chr`17` : `43,764,378`	0.001	0.999	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.001	0.999	0.000
rs1051424 lBF = `0.481475` Chr`17` : `58,024,324`	0.001	0.999	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.001	0.999	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.001	0.999	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.001	0.999	0.000
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rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.000	1.000	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.000	1.000	0.000
Affx-13925098 lBF = `7.82839` Chr`17` : `43,789,698`	0.000	1.000	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	1.000	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.000	1.000	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	1.000	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	1.000	0.000
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.000	1.000	0.000
rs9905820 lBF = `-0.0883363` Chr`17` : `12,637,371`	0.000	1.000	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs9674544 lBF = `-0.073829` Chr`17` : `47,084,711`	0.000	1.000	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.000	1.000	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	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
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs8066985 lBF = `-0.00771845` Chr`17` : `68,453,345`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs2251393 lBF = `-0.0307515` Chr`17` : `60,778,932`	0.000	1.000	0.000
rs9747992 lBF = `-0.0403503` Chr`17` : `77,804,840`	0.000	1.000	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.000	1.000	0.000
rs9895661 lBF = `0.795318` Chr`17` : `59,456,589`	0.000	1.000	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	1.000	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.000	1.000	0.000
rs882367 lBF = `0.00534338` Chr`17` : `59,494,574`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	1.000	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	1.000	0.000
rs9303401 lBF = `-0.0139074` Chr`17` : `56,847,945`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs1696756 lBF = `-0.0491303` Chr`17` : `77,827,973`	0.000	1.000	0.000
rs17533156 lBF = `-0.0608042` Chr`17` : `75,114,705`	0.000	1.000	0.000
rs72925845 lBF = `-0.0643442` Chr`17` : `76,439,361`	0.000	1.000	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.000	1.000	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	1.000	0.000
rs216195 lBF = `6.64568` Chr`17` : `2,203,167`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	1.000	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	1.000	0.000
rs1000940 lBF = `0.0375032` Chr`17` : `5,283,252`	0.000	1.000	0.000
rs8081460 lBF = `0.0270756` Chr`17` : `8,965,272`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	1.000	0.000
rs1401795 lBF = `-0.0743849` Chr`17` : `54,839,652`	0.000	1.000	0.000
rs2013441 lBF = `-0.0856497` Chr`17` : `20,023,099`	0.000	1.000	0.000
rs10775360 lBF = `-0.108353` Chr`17` : `68,325,868`	0.000	1.000	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	1.000	0.000
rs17609240 lBF = `5.32146` Chr`17` : `38,110,689`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.000	1.000	0.000
rs35895680 lBF = `0.224475` Chr`17` : `47,060,322`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.000	1.000	0.000
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs923375 lBF = `-0.0351892` Chr`17` : `3,393,068`	0.000	1.000	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	1.000	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs758642 lBF = `-0.0545184` Chr`17` : `3,786,907`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
rs9893168 lBF = `5.87412` Chr`17` : `10,031,571`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs1292053 lBF = `0.359007` Chr`17` : `57,963,537`	0.000	1.000	0.000
rs4617927 lBF = `0.0387266` Chr`17` : `53,356,126`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs7503953 lBF = `-0.00427826` Chr`17` : `6,141,677`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs3785982 lBF = `-0.012349` Chr`17` : `9,090,224`	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 X0207

log Bayes Factor = 94.6548

contains 2 variants

0.9883

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0835

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9601

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9562

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9490

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9292

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9094

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9045

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8849

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8834

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8674

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8604

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8556

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8427

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8222

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8056

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.7866

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.7425

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7384

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7340

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7242

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7144

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7131

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6371

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6195

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6146

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5922

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5636

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5635

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5578

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5475

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5339

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5331

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4908

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4730

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4596

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4581

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4324

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4245

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4208

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4115

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3962

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3772

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3577

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3157

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3139

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3119

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3065

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3030

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2966

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2761

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2653

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2605

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2546

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2520

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2481

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2191

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2183

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2153

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2121

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2108

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2041

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1968

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1893

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1714

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1483

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1469

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1444

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1427

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1427

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1391

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1273

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1221

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1150

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1149

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1145

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1065

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0992

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0974

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0865

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0864

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0760

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0746

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0729

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0717

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0704

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0695

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0627

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0601

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0563

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0544

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0539

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0529

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0526

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0521

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0517

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`)