TreeWAS – [N99.8] Other postprocedural disorders of genito-urinary system

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.798	0.202	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.740	0.260	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.722	0.278	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.704	0.296	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.687	0.313	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.642	0.358	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.634	0.366	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.594	0.406	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.591	0.409	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.587	0.413	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.578	0.422	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.570	0.429	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.568	0.432	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.544	0.456	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.528	0.472	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.512	0.488	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.510	0.490	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.507	0.493	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.507	0.493	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.492	0.508	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.488	0.512	0.000
rs1987842 lBF = `5.12272` Chr`2` : `234,928,517`	0.477	0.523	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.466	0.534	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.463	0.537	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.463	0.537	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.459	0.541	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.457	0.543	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.456	0.543	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.454	0.546	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.450	0.550	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.449	0.550	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.449	0.551	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.449	0.551	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.445	0.554	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.446	0.554	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.439	0.560	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.436	0.564	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.435	0.565	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.434	0.566	0.000
rs16984718 lBF = `4.60309` Chr`2` : `18,509,254`	0.432	0.568	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.430	0.570	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.424	0.576	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.411	0.589	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.411	0.589	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.411	0.589	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.408	0.592	0.000
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.405	0.595	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.404	0.596	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.403	0.597	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.401	0.599	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.398	0.601	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.397	0.602	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.394	0.606	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.392	0.608	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.391	0.609	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.390	0.609	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.389	0.610	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.389	0.611	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.389	0.611	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.381	0.619	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.381	0.619	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.380	0.620	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.379	0.621	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.377	0.623	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.377	0.623	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.376	0.623	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.377	0.623	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.376	0.624	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.373	0.626	0.000
rs13398848 lBF = `1.1051` Chr`2` : `84,245,168`	0.370	0.630	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.368	0.631	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.368	0.632	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.366	0.633	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.366	0.633	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.365	0.635	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.364	0.636	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.363	0.637	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.359	0.641	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.355	0.644	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.353	0.646	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.353	0.646	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.353	0.647	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.353	0.647	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.353	0.647	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.353	0.647	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.350	0.650	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.349	0.651	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.347	0.653	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.347	0.653	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.347	0.653	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.347	0.653	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.346	0.654	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.346	0.654	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.344	0.656	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.339	0.661	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.338	0.661	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.338	0.662	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.332	0.668	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.331	0.669	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.330	0.670	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.328	0.672	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.328	0.672	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.326	0.674	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.674	0.326
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.325	0.675	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.325	0.675	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.324	0.676	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.324	0.676	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.323	0.677	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.318	0.681	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.318	0.682	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.317	0.683	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.315	0.685	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.312	0.688	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.311	0.689	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.307	0.693	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.306	0.694	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.306	0.694	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.305	0.695	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.302	0.698	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.300	0.700	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.297	0.702	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.295	0.705	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.292	0.708	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.290	0.710	0.000
rs114707893 lBF = `16.0863` Chr`2` : `97,566,051`	0.284	0.716	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.282	0.718	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.277	0.723	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.273	0.727	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.270	0.730	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.266	0.734	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.260	0.740	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.257	0.743	0.001
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.257	0.743	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.256	0.744	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.256	0.744	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.249	0.750	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.248	0.752	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.247	0.752	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.246	0.753	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.244	0.755	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.239	0.760	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.234	0.765	0.001
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.229	0.771	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.229	0.771	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.222	0.777	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.220	0.779	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.220	0.780	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.219	0.781	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.214	0.785	0.001
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.213	0.787	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.207	0.793	0.001
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.202	0.797	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.200	0.800	0.001
rs181867028 lBF = `0.380125` Chr`2` : `2,545,734`	0.198	0.801	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.198	0.802	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.197	0.802	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.196	0.803	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.195	0.805	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.192	0.807	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.191	0.809	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.187	0.813	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.183	0.817	0.001
rs13385191 lBF = `5.80831` Chr`2` : `20,888,265`	0.174	0.826	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.173	0.826	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.168	0.832	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.166	0.833	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.165	0.835	0.000
rs183373550 lBF = `1.19395` Chr`2` : `141,269,442`	0.000	0.837	0.163
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.159	0.841	0.001
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.158	0.842	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.153	0.847	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.152	0.848	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.151	0.849	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.146	0.853	0.001
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.144	0.856	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.141	0.859	0.000
rs13021737 lBF = `8.48861` Chr`2` : `632,348`	0.134	0.866	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.133	0.867	0.000
rs6755502 lBF = `8.44259` Chr`2` : `635,721`	0.126	0.874	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.122	0.878	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.117	0.883	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.110	0.889	0.001
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.110	0.889	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.110	0.890	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.110	0.890	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.109	0.891	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.104	0.896	0.000
rs181660893 lBF = `3.37336` Chr`2` : `82,026,934`	0.102	0.897	0.001
rs13391419 lBF = `0.676772` Chr`2` : `222,921,916`	0.100	0.900	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.096	0.903	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.096	0.903	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.094	0.905	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.092	0.908	0.001
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.091	0.909	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.089	0.911	0.000
rs75598744 lBF = `3.85923` Chr`2` : `82,016,463`	0.087	0.912	0.001
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.086	0.913	0.001
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.084	0.915	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.082	0.918	0.000
rs115249811 lBF = `0.120835` Chr`2` : `50,927,119`	0.077	0.923	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.077	0.923	0.000
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rs6738962 lBF = `0.0406736` Chr`2` : `80,281,173`	0.003	0.997	0.000
rs13430864 lBF = `0.00264235` Chr`2` : `201,648,639`	0.002	0.997	0.000
rs10221833 lBF = `0.06061` Chr`2` : `165,577,164`	0.000	0.997	0.003
rs2193412 lBF = `-0.0728791` Chr`2` : `51,136,802`	0.003	0.997	0.000
rs1035977 lBF = `8.7775` Chr`2` : `57,232,308`	0.002	0.997	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.002	0.997	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.000	0.997	0.002
rs17835319 lBF = `0.027352` Chr`2` : `49,641,556`	0.000	0.997	0.003
rs56291226 lBF = `0.0474323` Chr`2` : `212,061,885`	0.002	0.997	0.000
rs7596789 lBF = `8.12353` Chr`2` : `111,932,616`	0.002	0.998	0.000
rs76886731 lBF = `0.153963` Chr`2` : `102,945,416`	0.000	0.998	0.002
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.002	0.998	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.002	0.998	0.000
rs2867125 lBF = `7.17412` Chr`2` : `622,827`	0.000	0.998	0.002
rs6741892 lBF = `0.111639` Chr`2` : `38,916,970`	0.000	0.998	0.002
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.002	0.998	0.000
rs11125529 lBF = `0.101367` Chr`2` : `54,475,866`	0.000	0.998	0.002
rs17268785 lBF = `-0.0355375` Chr`2` : `56,592,083`	0.002	0.998	0.000
rs1808797 lBF = `-0.0740006` Chr`2` : `5,625,006`	0.002	0.998	0.000
rs181043431 lBF = `0.00107974` Chr`2` : `26,909,176`	0.002	0.998	0.000
rs1445130 lBF = `0.103734` Chr`2` : `18,834,651`	0.000	0.998	0.002
rs17229285 lBF = `-0.0695022` Chr`2` : `199,523,122`	0.000	0.998	0.002
rs231775 lBF = `43.2297` Chr`2` : `204,732,714`	0.000	0.998	0.002
rs142793646 lBF = `0.00090677` Chr`2` : `123,167,812`	0.002	0.998	0.000
rs4849887 lBF = `3.59808` Chr`2` : `121,245,122`	0.002	0.998	0.000
rs17021683 lBF = `0.00168425` Chr`2` : `82,616,450`	0.002	0.998	0.000
rs16828074 lBF = `0.00183681` Chr`2` : `232,318,754`	0.002	0.998	0.000
rs6543610 lBF = `0.00179305` Chr`2` : `31,376,654`	0.002	0.998	0.000
rs114997855 lBF = `0.144382` Chr`2` : `30,622,824`	0.002	0.998	0.000
rs34695944 lBF = `0.0747699` Chr`2` : `61,124,850`	0.000	0.998	0.002
rs10208516 lBF = `0.00146951` Chr`2` : `81,574,758`	0.002	0.998	0.000
rs1020064 lBF = `-0.0687442` Chr`2` : `105,897,740`	0.002	0.998	0.000
rs12692398 lBF = `0.509529` Chr`2` : `10,200,316`	0.000	0.998	0.002
rs17406451 lBF = `-0.0659938` Chr`2` : `43,632,476`	0.000	0.998	0.002
rs700651 lBF = `0.0625503` Chr`2` : `198,631,714`	0.000	0.998	0.002
rs9309245 lBF = `-0.0263657` Chr`2` : `53,397,048`	0.000	0.998	0.002
rs1420103 lBF = `-0.0271405` Chr`2` : `102,948,632`	0.000	0.998	0.002
rs191356286 lBF = `0.0130101` Chr`2` : `82,325,816`	0.002	0.998	0.000
rs16823014 lBF = `-0.00140476` Chr`2` : `169,817,713`	0.002	0.998	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.002	0.998	0.000
rs231770 lBF = `35.3694` Chr`2` : `204,729,153`	0.000	0.998	0.002
rs16861531 lBF = `0.00135435` Chr`2` : `14,398,052`	0.002	0.998	0.000
rs4643574 lBF = `0.302989` Chr`2` : `315,215`	0.000	0.998	0.002
rs4295021 lBF = `-0.111578` Chr`2` : `162,831,756`	0.002	0.998	0.000
rs13031237 lBF = `0.0977951` Chr`2` : `61,136,129`	0.000	0.998	0.002
rs6747380 lBF = `-0.0410723` Chr`2` : `56,587,749`	0.002	0.998	0.000
rs570662154 lBF = `-0.0648537` Chr`2` : `238,817,052`	0.000	0.998	0.002
rs4148323 lBF = `0.00143379` Chr`2` : `234,669,144`	0.002	0.998	0.000
rs801378 lBF = `-0.0323534` Chr`2` : `195,559,997`	0.000	0.998	0.002
rs2675399 lBF = `-0.0368203` Chr`2` : `189,718,962`	0.002	0.998	0.000
rs801350 lBF = `-0.0315731` Chr`2` : `195,547,393`	0.000	0.998	0.002
rs11683197 lBF = `-0.0552856` Chr`2` : `65,027,624`	0.002	0.998	0.000
rs13008299 lBF = `-0.0879161` Chr`2` : `29,247,997`	0.002	0.998	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.002	0.998	0.000
rs2396261 lBF = `0.00696024` Chr`2` : `226,545,530`	0.000	0.998	0.002
rs4321325 lBF = `-0.0642656` Chr`2` : `127,950,997`	0.002	0.998	0.000
rs4676049 lBF = `-0.0347834` Chr`2` : `109,635,257`	0.002	0.998	0.000
rs6754521 lBF = `-0.00422783` Chr`2` : `202,859,617`	0.000	0.998	0.002
rs13033859 lBF = `-0.108072` Chr`2` : `184,390`	0.000	0.998	0.002
rs13411840 lBF = `0.00520062` Chr`2` : `29,973,281`	0.002	0.998	0.000
rs6733938 lBF = `-0.0509583` Chr`2` : `70,869,473`	0.002	0.998	0.000
rs12693973 lBF = `-0.0777453` Chr`2` : `155,171,139`	0.002	0.998	0.000
rs11690935 lBF = `-0.0905255` Chr`2` : `172,533,305`	0.000	0.998	0.002
rs2947411 lBF = `7.37691` Chr`2` : `614,168`	0.000	0.998	0.002
rs114532231 lBF = `0.0783752` Chr`2` : `86,860,631`	0.001	0.998	0.000
rs12478601 lBF = `0.0206522` Chr`2` : `43,721,508`	0.000	0.998	0.002
rs12694997 lBF = `0.0161743` Chr`2` : `242,262,986`	0.002	0.998	0.000
rs929596 lBF = `89.8647` Chr`2` : `234,674,476`	0.002	0.998	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.001	0.998	0.000
rs9309711 lBF = `-0.0710649` Chr`2` : `3,472,138`	0.002	0.998	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.001	0.998	0.000
rs62149416 lBF = `0.0389829` Chr`2` : `61,083,506`	0.000	0.998	0.002
rs13017599 lBF = `0.224041` Chr`2` : `61,164,331`	0.000	0.998	0.002
rs777717 lBF = `-0.00206496` Chr`2` : `195,954,734`	0.002	0.998	0.000
rs10172965 lBF = `-0.027719` Chr`2` : `195,871,819`	0.002	0.998	0.000
rs11693094 lBF = `-0.0295298` Chr`2` : `185,601,420`	0.000	0.998	0.002
rs2421332 lBF = `-0.112393` Chr`2` : `61,876,965`	0.000	0.998	0.002
rs66600238 lBF = `10.5168` Chr`2` : `44,321,207`	0.002	0.998	0.000
rs13021401 lBF = `0.12904` Chr`2` : `20,688,519`	0.000	0.998	0.002
rs17022444 lBF = `0.00117129` Chr`2` : `83,029,469`	0.001	0.998	0.000
rs2540917 lBF = `2.79436` Chr`2` : `60,608,759`	0.000	0.998	0.002
rs11675119 lBF = `-0.0838317` Chr`2` : `3,476,422`	0.002	0.998	0.000
rs896543 lBF = `0.158009` Chr`2` : `237,509,207`	0.000	0.998	0.002
rs12710696 lBF = `-0.0488277` Chr`2` : `19,320,803`	0.000	0.998	0.002
rs231779 lBF = `42.1394` Chr`2` : `204,734,487`	0.000	0.998	0.002
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.001	0.998	0.000
rs143020225 lBF = `0.00107086` Chr`2` : `167,214,714`	0.001	0.998	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.001	0.998	0.000
rs2360969 lBF = `0.0102893` Chr`2` : `208,372,996`	0.002	0.998	0.000
rs16841200 lBF = `0.00127703` Chr`2` : `157,868,868`	0.001	0.998	0.000
rs2698530 lBF = `-0.0642329` Chr`2` : `64,503,895`	0.002	0.998	0.000
rs2602381 lBF = `44.0112` Chr`2` : `234,584,324`	0.000	0.999	0.001
rs13395546 lBF = `0.00078103` Chr`2` : `131,545,192`	0.001	0.999	0.000
rs4499362 lBF = `-0.00999809` Chr`2` : `149,568,396`	0.000	0.999	0.001
rs78070307 lBF = `5.27944` Chr`2` : `43,855,150`	0.000	0.999	0.001
rs115455308 lBF = `0.00082877` Chr`2` : `71,042,418`	0.001	0.999	0.000
rs76247873 lBF = `-0.0421679` Chr`2` : `141,591,408`	0.001	0.999	0.000
rs6720763 lBF = `-0.0585524` Chr`2` : `167,992,286`	0.001	0.999	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.001	0.999	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4212

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2638

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9994

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9976

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9955

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9920

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9869

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9843

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9839

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9793

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9751

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9746

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9737

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9689

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9642

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9585

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9527

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9506

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9469

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9451

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9372

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9312

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9248

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9125

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8907

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8885

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8826

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8820

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8818

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8715

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8709

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8639

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8610

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8587

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8567

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8554

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8361

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8344

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8340

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8229

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8178

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8105

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8087

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8076

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8048

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8022

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7934

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7837

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7790

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7776

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7732

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7730

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7662

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7532

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7505

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7503

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7502

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7502

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7499

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7478

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7275

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7144

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7136

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7126

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7066

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7065

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6985

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6910

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6822

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6661

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6628

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6520

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6327

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6259

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6257

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6062

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6055

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6053

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6027

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6026

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5935

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5921

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5914

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5651

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5628

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5552

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5509

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5508

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5468

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5359

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5341

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5317

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5257

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5175

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5113

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4861

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4635

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4608

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4516

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4502

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4388

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4368

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4350

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4305

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4291

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4158

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4156

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4119

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4111

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4003

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3957

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3786

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3688

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3666

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3655

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3577

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3558

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3460

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3300

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3299

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3011

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2987

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2957

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2899

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2871

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2761

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2588

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2490

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2456

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2349

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2339

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2268

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2016

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1877

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1853

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1796

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1737

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1727

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1604

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.1484

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1255

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1094

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0930

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0893

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0879

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0816

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0802

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0781

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0561

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0559

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0548

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`)