TreeWAS – [C79.0] Secondary malignant neoplasm of kidney and renal pelvis

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
rs1799796 lBF = `7.32489` Chr`14` : `104,165,927`	0.926	0.074	0.000
rs4906356 lBF = `7.54691` Chr`14` : `104,138,701`	0.925	0.075	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.827	0.173	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.813	0.187	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.795	0.205	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.795	0.205	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.779	0.221	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.777	0.223	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.775	0.225	0.000
rs4144027 lBF = `1.9022` Chr`14` : `104,357,638`	0.767	0.233	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.753	0.247	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.731	0.269	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.730	0.270	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.728	0.272	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.717	0.283	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.710	0.289	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.705	0.295	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.700	0.299	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.700	0.300	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.696	0.304	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.683	0.317	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.679	0.320	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.673	0.326	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.672	0.328	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.668	0.332	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.668	0.332	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.666	0.334	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.661	0.339	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.657	0.343	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.640	0.360	0.000
rs192549394 lBF = `1.61666` Chr`14` : `52,293,779`	0.634	0.366	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.624	0.375	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.582	0.418	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.580	0.420	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.569	0.431	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.568	0.432	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.443	0.557
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.554	0.446	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.552	0.448	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.538	0.461	0.000
rs72708542 lBF = `5.17649` Chr`14` : `93,710,718`	0.525	0.475	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.523	0.477	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.506	0.493	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.494	0.505	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.494	0.506	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.494	0.506	0.000
rs79534246 lBF = `4.3436` Chr`14` : `53,386,442`	0.491	0.508	0.000
rs117161928 lBF = `6.02809` Chr`14` : `94,391,705`	0.484	0.516	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.424	0.575	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.424	0.576	0.000
rs10498529 lBF = `6.78445` Chr`14` : `69,770,690`	0.422	0.578	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.421	0.578	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.417	0.583	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.401	0.599	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.391	0.609	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.387	0.613	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.382	0.617	0.000
rs17108533 lBF = `0.245552` Chr`14` : `71,249,802`	0.380	0.620	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.352	0.648	0.000
rs12587252 lBF = `0.5067` Chr`14` : `81,405,922`	0.349	0.651	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.342	0.658	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.341	0.659	0.000
rs192692653 lBF = `2.44667` Chr`14` : `52,384,486`	0.339	0.661	0.000
rs12887734 lBF = `2.62934` Chr`14` : `104,046,834`	0.300	0.700	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.297	0.703	0.000
rs10498345 lBF = `1.07994` Chr`14` : `39,020,505`	0.293	0.707	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.285	0.715	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.282	0.718	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.281	0.719	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.281	0.719	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.261	0.739	0.000
rs80221072 lBF = `0.96065` Chr`14` : `33,795,591`	0.253	0.747	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.246	0.754	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.245	0.755	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.244	0.756	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.243	0.757	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.226	0.774	0.000
rs74635668 lBF = `12.4172` Chr`14` : `54,188,200`	0.226	0.774	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.206	0.794	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.201	0.798	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.197	0.802	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.195	0.805	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.182	0.818	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.181	0.819	0.000
rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.180	0.820	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.175	0.825	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.167	0.833	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.166	0.833	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.164	0.835	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.161	0.839	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.146	0.853	0.000
rs144190017 lBF = `0.182292` Chr`14` : `25,893,032`	0.145	0.854	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.139	0.860	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.138	0.862	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.131	0.869	0.000
rs11622475 lBF = `0.212488` Chr`14` : `104,509,076`	0.000	0.870	0.130
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.125	0.874	0.000
rs150511909 lBF = `0.288513` Chr`14` : `97,908,686`	0.122	0.878	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.113	0.887	0.001
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.107	0.893	0.000
rs117911949 lBF = `0.377711` Chr`14` : `72,016,789`	0.103	0.896	0.001
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.103	0.897	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.085	0.914	0.001
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.084	0.915	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.072	0.928	0.000
rs186152940 lBF = `0.126532` Chr`14` : `46,476,984`	0.069	0.931	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.069	0.931	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.068	0.932	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.063	0.937	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.062	0.937	0.000
rs182491339 lBF = `0.10278` Chr`14` : `66,049,929`	0.060	0.939	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.060	0.940	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.059	0.941	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.059	0.941	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.057	0.943	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.056	0.943	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.056	0.944	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.053	0.947	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.052	0.948	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.051	0.949	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.049	0.950	0.001
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.047	0.951	0.002
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.043	0.957	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.042	0.958	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.040	0.960	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.038	0.961	0.001
rs17807815 lBF = `0.567103` Chr`14` : `92,556,055`	0.039	0.961	0.000
rs1998848 lBF = `0.0282524` Chr`14` : `21,492,229`	0.037	0.963	0.000
rs12898084 lBF = `1.78487` Chr`14` : `56,253,404`	0.035	0.965	0.000
rs76745467 lBF = `0.113511` Chr`14` : `69,426,389`	0.035	0.965	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.032	0.968	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.030	0.970	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.028	0.972	0.001
rs183755958 lBF = `0.0427294` Chr`14` : `52,307,478`	0.026	0.974	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.023	0.977	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.020	0.980	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.020	0.980	0.000
rs11627075 lBF = `0.0363587` Chr`14` : `94,972,242`	0.019	0.981	0.000
rs186116546 lBF = `0.0301833` Chr`14` : `65,986,176`	0.018	0.982	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.017	0.983	0.000
rs1955873 lBF = `0.0340051` Chr`14` : `26,042,994`	0.000	0.983	0.017
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.015	0.984	0.000
rs11627546 lBF = `-0.0392927` Chr`14` : `70,365,924`	0.000	0.985	0.015
rs58262369 lBF = `0.0229117` Chr`14` : `64,693,912`	0.015	0.985	0.000
rs148071215 lBF = `0.123842` Chr`14` : `83,272,653`	0.015	0.985	0.000
rs12434047 lBF = `-0.0916543` Chr`14` : `53,837,485`	0.000	0.985	0.015
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.013	0.986	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.013	0.987	0.000
rs12436689 lBF = `-0.039969` Chr`14` : `85,654,019`	0.000	0.989	0.011
rs117672662 lBF = `0.032178` Chr`14` : `69,425,467`	0.010	0.990	0.000
rs7157785 lBF = `0.0132221` Chr`14` : `64,235,556`	0.010	0.990	0.000
rs869834 lBF = `-0.0005937` Chr`14` : `63,177,144`	0.009	0.990	0.000
rs12435940 lBF = `0.0218966` Chr`14` : `26,021,985`	0.000	0.991	0.009
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.009	0.991	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.009	0.991	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.008	0.991	0.001
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.008	0.991	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.008	0.992	0.000
rs11622887 lBF = `0.565548` Chr`14` : `95,942,447`	0.000	0.992	0.008
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.007	0.992	0.001
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.007	0.992	0.000
rs17101394 lBF = `0.00827899` Chr`14` : `64,232,386`	0.007	0.992	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.007	0.993	0.000
rs4902243 lBF = `0.00787224` Chr`14` : `64,234,243`	0.006	0.994	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.006	0.994	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.006	0.994	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.005	0.994	0.002
rs2842339 lBF = `0.299744` Chr`14` : `68,986,999`	0.000	0.994	0.006
rs76752037 lBF = `0.00388596` Chr`14` : `105,728,197`	0.006	0.994	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.005	0.995	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.005	0.995	0.000
rs74731421 lBF = `0.938135` Chr`14` : `38,210,286`	0.005	0.995	0.000
rs4454866 lBF = `0.0230011` Chr`14` : `40,676,918`	0.005	0.995	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.004	0.995	0.000
rs11627967 lBF = `0.353752` Chr`14` : `33,769,912`	0.004	0.995	0.001
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.004	0.995	0.001
rs6576086 lBF = `0.00570964` Chr`14` : `105,873,144`	0.000	0.996	0.004
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.000	0.996	0.004
rs878889 lBF = `-0.0707437` Chr`14` : `57,221,139`	0.004	0.996	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.000	0.996	0.004
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.004	0.996	0.000
rs2144051 lBF = `-0.00137135` Chr`14` : `97,544,573`	0.004	0.996	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.003	0.996	0.000
rs80073712 lBF = `-0.0061084` Chr`14` : `21,207,775`	0.000	0.997	0.003
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.003	0.997	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.003	0.997	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.000	0.997	0.003
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.003	0.997	0.000
rs10142119 lBF = `0.0571064` Chr`14` : `98,486,545`	0.003	0.997	0.000
rs2069590 lBF = `-0.0374927` Chr`14` : `96,708,782`	0.000	0.997	0.003
rs8016620 lBF = `0.00254963` Chr`14` : `97,393,685`	0.000	0.997	0.003
rs61227778 lBF = `-0.021244` Chr`14` : `24,578,916`	0.000	0.997	0.003
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.003	0.997	0.000
rs4900022 lBF = `-0.00005395` Chr`14` : `90,615,513`	0.003	0.997	0.000
rs1456988 lBF = `0.0525834` Chr`14` : `98,488,007`	0.002	0.997	0.000
rs76513344 lBF = `0.00295873` Chr`14` : `63,047,683`	0.002	0.997	0.000
rs2029614 lBF = `-0.030753` Chr`14` : `99,547,267`	0.000	0.997	0.003
rs8014067 lBF = `-0.0626895` Chr`14` : `62,553,257`	0.003	0.997	0.000
rs185449237 lBF = `0.00377806` Chr`14` : `47,199,333`	0.002	0.997	0.000
rs11623713 lBF = `0.147314` Chr`14` : `99,240,316`	0.002	0.997	0.001
rs2333194 lBF = `-0.0650937` Chr`14` : `73,767,214`	0.002	0.997	0.000
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rs55995849 lBF = `-0.00697345` Chr`14` : `37,783,090`	0.000	0.999	0.000
rs8017304 lBF = `-0.00927861` Chr`14` : `68,785,077`	0.000	0.999	0.000
rs10133111 lBF = `-0.0117244` Chr`14` : `103,377,321`	0.000	0.999	0.000
rs75987388 lBF = `-0.0128527` Chr`14` : `70,385,707`	0.000	0.999	0.000
rs61985136 lBF = `-0.0305226` Chr`14` : `68,769,199`	0.000	0.999	0.000
rs7140285 lBF = `0.872006` Chr`14` : `88,462,988`	0.000	1.000	0.000
rs17094983 lBF = `0.241374` Chr`14` : `59,189,361`	0.000	1.000	0.000
rs2337406 lBF = `0.149472` Chr`14` : `107,180,574`	0.000	1.000	0.000
rs35209784 lBF = `0.00609035` Chr`14` : `59,751,830`	0.000	1.000	0.000
rs8022296 lBF = `-0.0349449` Chr`14` : `97,987,857`	0.000	1.000	0.000
rs11624056 lBF = `-0.0677856` Chr`14` : `87,506,248`	0.000	1.000	0.000
rs8022206 lBF = `0.106989` Chr`14` : `68,520,906`	0.000	1.000	0.000
rs11851015 lBF = `0.0263039` Chr`14` : `57,669,533`	0.000	1.000	0.000
rs115102486 lBF = `0.0223896` Chr`14` : `95,764,564`	0.000	1.000	0.000
rs17125944 lBF = `0.0176287` Chr`14` : `53,400,629`	0.000	1.000	0.000
rs1049564 lBF = `-0.0101091` Chr`14` : `20,940,606`	0.000	1.000	0.000
rs12895389 lBF = `-0.0407842` Chr`14` : `95,892,274`	0.000	1.000	0.000
rs2121070 lBF = `-0.0889456` Chr`14` : `76,650,764`	0.000	1.000	0.000
rs8016982 lBF = `-0.100474` Chr`14` : `81,707,057`	0.000	1.000	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.000	1.000	0.000
rs118036572 lBF = `5.2328` Chr`14` : `69,715,870`	0.000	1.000	0.000
rs17657012 lBF = `0.0512296` Chr`14` : `55,176,344`	0.000	1.000	0.000
rs4982029 lBF = `0.00185534` Chr`14` : `33,476,266`	0.000	1.000	0.000
rs194749 lBF = `-0.0240843` Chr`14` : `69,273,905`	0.000	1.000	0.000
rs7141238 lBF = `-0.0308401` Chr`14` : `61,734,640`	0.000	1.000	0.000
rs2841277 lBF = `-0.0657539` Chr`14` : `105,391,005`	0.000	1.000	0.000
rs242402 lBF = `-0.0687432` Chr`14` : `56,663,760`	0.000	1.000	0.000
rs12883884 lBF = `-0.0798155` Chr`14` : `70,517,183`	0.000	1.000	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.000	1.000	0.000
rs12127 lBF = `1.53499` Chr`14` : `71,956,270`	0.000	1.000	0.000
rs8015959 lBF = `0.00116327` Chr`14` : `33,480,922`	0.000	1.000	0.000
rs3811321 lBF = `-0.00354109` Chr`14` : `22,481,824`	0.000	1.000	0.000
rs17455969 lBF = `-0.0172039` Chr`14` : `33,498,876`	0.000	1.000	0.000
rs7141874 lBF = `-0.0353107` Chr`14` : `65,821,994`	0.000	1.000	0.000
rs1380131 lBF = `-0.0355436` Chr`14` : `54,072,858`	0.000	1.000	0.000
rs367677 lBF = `-0.0506718` Chr`14` : `69,273,090`	0.000	1.000	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.000	1.000	0.000
rs1254337 lBF = `1.05396` Chr`14` : `60,920,525`	0.000	1.000	0.000
rs12590995 lBF = `0.204061` Chr`14` : `44,682,864`	0.000	1.000	0.000
rs17127713 lBF = `0.0575476` Chr`14` : `55,122,918`	0.000	1.000	0.000
rs10134944 lBF = `-0.0110375` Chr`14` : `58,119,196`	0.000	1.000	0.000
rs7152554 lBF = `-0.0187462` Chr`14` : `84,597,385`	0.000	1.000	0.000
rs7148498 lBF = `-0.0201924` Chr`14` : `96,107,955`	0.000	1.000	0.000
rs17616316 lBF = `-0.0294953` Chr`14` : `103,822,762`	0.000	1.000	0.000
rs4898641 lBF = `-0.0381064` Chr`14` : `38,013,787`	0.000	1.000	0.000
rs8015016 lBF = `-0.0736639` Chr`14` : `96,122,408`	0.000	1.000	0.000
rs7120 lBF = `-0.118587` Chr`14` : `96,010,589`	0.000	1.000	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.000	1.000	0.000
rs11157317 lBF = `0.949374` Chr`14` : `43,403,459`	0.000	1.000	0.000
rs2341534 lBF = `0.187922` Chr`14` : `55,784,737`	0.000	1.000	0.000
rs78242330 lBF = `0.0937644` Chr`14` : `93,111,715`	0.000	1.000	0.000
rs1555399 lBF = `0.0856528` Chr`14` : `67,984,370`	0.000	1.000	0.000
rs2297067 lBF = `0.0694771` Chr`14` : `103,566,785`	0.000	1.000	0.000
rs79110742 lBF = `0.0352416` Chr`14` : `83,347,928`	0.000	1.000	0.000
rs36032616 lBF = `0.00464787` Chr`14` : `72,484,156`	0.000	1.000	0.000
rs35955841 lBF = `-0.0337909` Chr`14` : `65,319,361`	0.000	1.000	0.000
rs12885454 lBF = `-0.0550644` Chr`14` : `29,736,838`	0.000	1.000	0.000
rs8005161 lBF = `2.02207` Chr`14` : `88,472,595`	0.000	1.000	0.000
rs8012941 lBF = `0.934473` Chr`14` : `63,322,347`	0.000	1.000	0.000
rs55808324 lBF = `0.930699` Chr`14` : `88,444,752`	0.000	1.000	0.000
rs1254319 lBF = `0.687282` Chr`14` : `60,903,757`	0.000	1.000	0.000
rs1956388 lBF = `0.056504` Chr`14` : `29,132,877`	0.000	1.000	0.000
rs2899832 lBF = `0.0137671` Chr`14` : `35,740,941`	0.000	1.000	0.000
rs1955510 lBF = `-0.0135534` Chr`14` : `33,230,139`	0.000	1.000	0.000
rs4903031 lBF = `-0.0214912` Chr`14` : `73,019,236`	0.000	1.000	0.000
rs17101773 lBF = `-0.021977` Chr`14` : `34,190,982`	0.000	1.000	0.000
rs7152623 lBF = `-0.0312203` Chr`14` : `98,588,321`	0.000	1.000	0.000
rs7158872 lBF = `-0.061895` Chr`14` : `49,426,842`	0.000	1.000	0.000
rs10144042 lBF = `-0.0653651` Chr`14` : `98,499,458`	0.000	1.000	0.000
rs999737 lBF = `3.00904` Chr`14` : `69,034,682`	0.000	1.000	0.000
rs116988415 lBF = `1.2421` Chr`14` : `65,292,145`	0.000	1.000	0.000
rs116909374 lBF = `0.909579` Chr`14` : `36,738,361`	0.000	1.000	0.000
rs1465330 lBF = `0.618084` Chr`14` : `77,601,819`	0.000	1.000	0.000
rs10142466 lBF = `0.172223` Chr`14` : `69,271,784`	0.000	1.000	0.000
rs17111396 lBF = `0.0897425` Chr`14` : `81,524,054`	0.000	1.000	0.000
rs12884395 lBF = `0.0366014` Chr`14` : `45,106,632`	0.000	1.000	0.000
rs3783863 lBF = `0.0157879` Chr`14` : `89,776,745`	0.000	1.000	0.000
rs8017377 lBF = `0.00704486` Chr`14` : `24,883,887`	0.000	1.000	0.000
rs7144584 lBF = `0.00567901` Chr`14` : `64,275,812`	0.000	1.000	0.000
rs17104630 lBF = `-0.0016712` Chr`14` : `37,000,049`	0.000	1.000	0.000
rs11159346 lBF = `-0.0172289` Chr`14` : `78,750,987`	0.000	1.000	0.000
rs7144383 lBF = `-0.0726046` Chr`14` : `48,040,375`	0.000	1.000	0.000
rs11158820 lBF = `0.203723` Chr`14` : `70,347,348`	0.000	1.000	0.000
rs34310550 lBF = `0.169665` Chr`14` : `38,912,395`	0.000	1.000	0.000
rs10151686 lBF = `0.169654` Chr`14` : `30,466,466`	0.000	1.000	0.000
rs8010715 lBF = `0.095558` Chr`14` : `24,609,147`	0.000	1.000	0.000
rs944002 lBF = `0.0894823` Chr`14` : `103,572,815`	0.000	1.000	0.000
rs12587311 lBF = `0.0750495` Chr`14` : `29,116,695`	0.000	1.000	0.000
rs146647518 lBF = `0.0130713` Chr`14` : `67,529,620`	0.000	1.000	0.000
rs6573416 lBF = `0.0051839` Chr`14` : `62,518,348`	0.000	1.000	0.000
rs1958581 lBF = `0.0051135` Chr`14` : `34,801,599`	0.000	1.000	0.000
rs12587630 lBF = `0.00440685` Chr`14` : `38,066,575`	0.000	1.000	0.000
rs1316298 lBF = `-0.0104322` Chr`14` : `52,365,774`	0.000	1.000	0.000
rs2877649 lBF = `-0.0161482` Chr`14` : `24,954,002`	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

0.8669

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6496

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5862

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9996

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9969

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9905

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9890

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9789

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9781

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9771

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9696

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9667

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9638

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9609

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9590

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9516

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9501

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9499

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9448

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9409

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9377

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9326

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9312

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9310

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9275

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9245

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9228

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9218

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9192

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9007

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8983

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8979

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8946

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8936

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8921

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8916

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8893

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8799

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8798

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8761

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8706

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8639

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.8627

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8575

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8398

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8195

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8092

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8067

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8046

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8041

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8015

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7980

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7975

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.7903

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7698

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7677

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7627

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7498

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7493

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7457

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7417

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7377

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7351

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7340

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7324

Cluster X0082

log Bayes Factor = 496.905

contains 17 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 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 X0037

log Bayes Factor = 171.712

contains 6 variants

0.7129

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7111

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7065

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6988

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 X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6829

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6787

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6618

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6453

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6211

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6203

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6187

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5950

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5823

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5792

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5738

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 X0224

log Bayes Factor = 278.692

contains 11 variants

0.5244

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5227

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4904

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4902

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4887

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4524

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4169

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3955

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3943

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3770

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3427

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3395

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3085

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2953

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2915

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 X0214

log Bayes Factor = 186.582

contains 8 variants

0.2562

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2373

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2354

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2289

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2112

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2107

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2048

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1942

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1793

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1742

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1683

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1273

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1271

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1125

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0961

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0910

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0906

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0808

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0786

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0736

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0702

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0652

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0604

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0560

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0560

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0527

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`)