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
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.948	0.052	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.898	0.102	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.894	0.106	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.880	0.120	0.000
rs3107575 lBF = `3.18466` Chr`3` : `165,345,201`	0.857	0.143	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.825	0.175	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.800	0.200	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.798	0.202	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.788	0.212	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.787	0.213	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.773	0.227	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.766	0.234	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.766	0.234	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.759	0.241	0.000
rs1265103 lBF = `20.4044` Chr`6` : `31,100,978`	0.743	0.257	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.740	0.260	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.740	0.260	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.738	0.262	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.736	0.264	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.734	0.266	0.000
rs3025642 lBF = `5.84552` Chr`6` : `29,570,316`	0.728	0.272	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.725	0.275	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.725	0.275	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.724	0.276	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.722	0.278	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.716	0.284	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.716	0.284	0.000
rs9380064 lBF = `135.621` Chr`6` : `28,143,118`	0.000	0.291	0.709
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.708	0.292	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.704	0.296	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.703	0.297	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.703	0.297	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.694	0.305	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.689	0.311	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.687	0.313	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.687	0.313	0.000
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.686	0.314	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.686	0.314	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.686	0.314	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.677	0.323	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.675	0.324	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.672	0.328	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.671	0.329	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.670	0.330	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.669	0.331	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.667	0.333	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.666	0.334	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.662	0.337	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.662	0.337	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.661	0.339	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.661	0.339	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.660	0.340	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.656	0.344	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.656	0.344	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.656	0.344	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.651	0.349	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.650	0.350	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.650	0.350	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.649	0.351	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.647	0.353	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.647	0.353	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.646	0.354	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.645	0.354	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.644	0.356	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.643	0.357	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.642	0.358	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.642	0.358	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.641	0.359	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.640	0.360	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.640	0.360	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.639	0.361	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.639	0.361	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.639	0.361	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.637	0.363	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.634	0.366	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.634	0.366	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.634	0.366	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.634	0.366	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.634	0.366	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.630	0.370	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.628	0.372	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.627	0.373	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.626	0.374	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.626	0.374	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.626	0.374	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.624	0.376	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.622	0.378	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.619	0.381	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.619	0.381	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.618	0.382	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.617	0.383	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.617	0.383	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.617	0.383	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.617	0.383	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.616	0.384	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.615	0.385	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.614	0.386	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.614	0.386	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.613	0.387	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.611	0.389	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.610	0.390	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.609	0.390	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.609	0.391	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.609	0.391	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.608	0.392	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.608	0.392	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.607	0.393	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.606	0.394	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.606	0.394	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.606	0.394	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.605	0.395	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.605	0.395	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.600	0.400	0.000
rs1265096 lBF = `29.8459` Chr`6` : `31,106,489`	0.599	0.401	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.597	0.403	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.000	0.403	0.597
rs13219354 lBF = `133.323` Chr`6` : `27,185,664`	0.000	0.404	0.596
rs9468287 lBF = `141.792` Chr`6` : `28,079,741`	0.000	0.405	0.595
rs4713139 lBF = `135.651` Chr`6` : `28,092,685`	0.000	0.405	0.595
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.595	0.405	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.594	0.406	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.594	0.406	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.594	0.406	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.593	0.407	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.593	0.407	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.591	0.409	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.590	0.410	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.590	0.410	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.589	0.410	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.589	0.411	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.589	0.411	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.588	0.412	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.587	0.413	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.585	0.415	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.584	0.415	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.584	0.416	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.583	0.417	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.583	0.417	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.582	0.417	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.581	0.419	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.579	0.421	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.579	0.421	0.000
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.578	0.422	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.578	0.422	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.577	0.423	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.576	0.424	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.575	0.425	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.575	0.425	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.573	0.427	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.573	0.427	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.573	0.427	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.572	0.428	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.571	0.429	0.000
rs4713140 lBF = `132.851` Chr`6` : `28,097,193`	0.000	0.429	0.570
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.570	0.429	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.570	0.430	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.569	0.431	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.568	0.432	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.568	0.432	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.566	0.434	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.566	0.434	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.566	0.434	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.565	0.435	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.564	0.436	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.564	0.436	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.563	0.437	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.562	0.438	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.561	0.438	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.561	0.439	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.560	0.440	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.560	0.440	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.560	0.440	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.560	0.440	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.558	0.441	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.558	0.442	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.558	0.442	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.556	0.444	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.555	0.445	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.554	0.446	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.552	0.448	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.552	0.448	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.551	0.449	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.551	0.449	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.551	0.449	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.551	0.449	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.550	0.450	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.550	0.450	0.000
rs3757188 lBF = `131.721` Chr`6` : `28,107,357`	0.000	0.450	0.550
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.549	0.451	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.549	0.451	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.549	0.451	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.548	0.451	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.548	0.452	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.548	0.452	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.547	0.453	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.547	0.453	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.546	0.454	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.545	0.455	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.544	0.456	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.544	0.456	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.544	0.456	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.543	0.457	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.543	0.457	0.000
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rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.472	0.528	0.000
rs181424343 lBF = `5.27138` Chr`1` : `218,594,484`	0.472	0.528	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.472	0.528	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.472	0.528	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.472	0.528	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.471	0.528	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.471	0.529	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.470	0.529	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.470	0.529	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.470	0.530	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.470	0.530	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.470	0.530	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.470	0.530	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.470	0.530	0.000
rs149049329 lBF = `6.27065` Chr`3` : `187,597,927`	0.469	0.530	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.469	0.531	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.469	0.531	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.468	0.531	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.468	0.531	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.468	0.532	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.468	0.532	0.000
rs7927044 lBF = `8.87175` Chr`11` : `127,761,666`	0.467	0.533	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.466	0.534	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.466	0.534	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.465	0.535	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.465	0.535	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.465	0.535	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.465	0.535	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.464	0.535	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.464	0.535	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.464	0.536	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.464	0.536	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.464	0.536	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.464	0.536	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.464	0.536	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.464	0.536	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.464	0.536	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.463	0.536	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.463	0.537	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.463	0.537	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.463	0.537	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.463	0.537	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.462	0.538	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.462	0.538	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.462	0.538	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.462	0.538	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.461	0.539	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.461	0.539	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.461	0.539	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.461	0.539	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.461	0.539	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.460	0.540	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.460	0.540	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.460	0.540	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.460	0.540	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.460	0.540	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.460	0.540	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.459	0.540	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.459	0.540	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.459	0.540	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.459	0.541	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.459	0.541	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.459	0.541	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.459	0.541	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.458	0.542	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.457	0.542	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.457	0.543	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.457	0.543	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.457	0.543	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.457	0.543	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.457	0.543	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.457	0.543	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
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.456	0.544	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.456	0.544	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.455	0.544	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.455	0.544	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.455	0.545	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.455	0.545	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.454	0.545	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.454	0.546	0.000
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.000	0.546	0.454
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.453	0.546	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.453	0.547	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.453	0.547	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.452	0.547	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.452	0.547	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.452	0.548	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.452	0.548	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.452	0.548	0.000
rs114425738 lBF = `14.7301` Chr`1` : `92,171,673`	0.451	0.548	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.451	0.548	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.451	0.549	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.451	0.549	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`)