TreeWAS – [N99.0] Postprocedural renal failure

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`	0.850	0.150	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.838	0.162	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.838	0.162	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.822	0.178	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.813	0.187	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.802	0.198	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.789	0.211	0.000
rs3107575 lBF = `3.18466` Chr`3` : `165,345,201`	0.778	0.222	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.777	0.223	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.755	0.245	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.749	0.251	0.000
rs1265103 lBF = `20.4044` Chr`6` : `31,100,978`	0.727	0.273	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.721	0.279	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.719	0.281	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.712	0.288	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.709	0.291	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.702	0.298	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.700	0.300	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.699	0.301	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.694	0.306	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.691	0.309	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.688	0.312	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.687	0.313	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.686	0.314	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.683	0.317	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.679	0.321	0.000
rs1265096 lBF = `29.8459` Chr`6` : `31,106,489`	0.676	0.324	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.675	0.325	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.673	0.327	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.673	0.327	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.671	0.329	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.670	0.330	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.670	0.330	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.669	0.331	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.667	0.333	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.665	0.335	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.660	0.340	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.658	0.342	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.658	0.342	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.656	0.344	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.653	0.347	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.653	0.347	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.651	0.349	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.649	0.351	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.649	0.351	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.646	0.354	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.645	0.355	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.645	0.355	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.635	0.365	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.633	0.367	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.631	0.369	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.629	0.371	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.628	0.372	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.625	0.375	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.624	0.376	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.623	0.377	0.000
rs2248477 lBF = `30.0926` Chr`6` : `31,447,005`	0.619	0.381	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.618	0.381	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.618	0.382	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.617	0.383	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.615	0.385	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.614	0.386	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.611	0.389	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.610	0.390	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.609	0.390	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.605	0.395	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.604	0.396	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.603	0.397	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.603	0.397	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.603	0.397	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.601	0.399	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.599	0.401	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.598	0.401	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.598	0.402	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.598	0.402	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.597	0.403	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.596	0.404	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.594	0.405	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.593	0.407	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.593	0.407	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.592	0.408	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.591	0.409	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.591	0.409	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.591	0.409	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.590	0.410	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.588	0.412	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.585	0.415	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.583	0.416	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.583	0.416	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.582	0.417	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.581	0.418	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.581	0.419	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.581	0.419	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.581	0.419	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.581	0.419	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.580	0.420	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.580	0.420	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.580	0.420	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.579	0.421	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.578	0.422	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.578	0.422	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.578	0.422	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.576	0.424	0.000
rs17083533 lBF = `1.99367` Chr`6` : `121,730,722`	0.575	0.425	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.575	0.425	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.575	0.425	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.574	0.426	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.572	0.427	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.572	0.428	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.571	0.429	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.570	0.430	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.569	0.430	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.569	0.431	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.569	0.431	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.569	0.431	0.000
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.568	0.432	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.568	0.432	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.568	0.432	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.566	0.434	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.566	0.434	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.566	0.434	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.566	0.434	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.564	0.436	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.563	0.437	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.563	0.437	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.563	0.437	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.563	0.437	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.563	0.437	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.562	0.437	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.562	0.438	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.562	0.438	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.561	0.439	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.561	0.439	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.561	0.439	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.560	0.439	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.560	0.439	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.560	0.439	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.560	0.440	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.560	0.440	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.559	0.441	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.559	0.441	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.558	0.442	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.557	0.442	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.000	0.443	0.557
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.556	0.443	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.556	0.444	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.556	0.444	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.555	0.445	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.554	0.446	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.554	0.446	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.553	0.446	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.553	0.447	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.552	0.447	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.551	0.449	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.550	0.449	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.550	0.450	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.549	0.451	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.549	0.451	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.549	0.451	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.549	0.451	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.548	0.451	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.548	0.452	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.548	0.452	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.547	0.453	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.547	0.453	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.546	0.454	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.545	0.455	0.000
rs9380064 lBF = `135.621` Chr`6` : `28,143,118`	0.000	0.455	0.545
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.544	0.456	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.544	0.456	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.543	0.456	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.543	0.457	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.543	0.457	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.542	0.458	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.541	0.458	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.541	0.459	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.541	0.459	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.541	0.459	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.541	0.459	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.541	0.459	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.540	0.459	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.540	0.459	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.539	0.461	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.539	0.461	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.537	0.463	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.537	0.463	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.536	0.464	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.536	0.464	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.535	0.465	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.535	0.465	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.535	0.465	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.535	0.465	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.534	0.466	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.533	0.467	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.532	0.468	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.531	0.469	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.531	0.469	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.530	0.470	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.530	0.470	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.530	0.470	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.529	0.470	0.000
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.529	0.470	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.529	0.471	0.000
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rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.467	0.533	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.467	0.533	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.467	0.533	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.467	0.533	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.466	0.534	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.466	0.534	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.466	0.534	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.465	0.535	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.465	0.535	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.464	0.536	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.464	0.536	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.464	0.536	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.464	0.536	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.463	0.537	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.463	0.537	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.463	0.537	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.462	0.537	0.000
rs3025642 lBF = `5.84552` Chr`6` : `29,570,316`	0.462	0.538	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.462	0.538	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.462	0.538	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.462	0.538	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.461	0.539	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.460	0.540	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.460	0.540	0.000
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.460	0.540	0.000
rs13207034 lBF = `0.590432` Chr`6` : `93,197,300`	0.460	0.540	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.460	0.540	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.459	0.540	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.459	0.541	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.459	0.541	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.459	0.541	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.459	0.541	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.459	0.541	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.459	0.541	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.459	0.541	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.458	0.541	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.458	0.541	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
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.457	0.543	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.457	0.543	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.457	0.543	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.456	0.544	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.456	0.544	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.456	0.544	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.456	0.544	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.456	0.544	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.455	0.545	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.455	0.545	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.455	0.545	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.454	0.546	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.000	0.546	0.454
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.454	0.546	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.453	0.547	0.000
rs4713140 lBF = `132.851` Chr`6` : `28,097,193`	0.001	0.547	0.453
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.452	0.547	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.452	0.547	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.452	0.547	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	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
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.451	0.548	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.451	0.549	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.451	0.549	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.450	0.549	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.450	0.550	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.450	0.550	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.449	0.550	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.449	0.550	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.449	0.551	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.449	0.551	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.449	0.551	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.448	0.551	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.448	0.552	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.448	0.552	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.448	0.552	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.447	0.552	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.447	0.553	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.447	0.553	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.446	0.554	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.446	0.554	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.446	0.554	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.446	0.554	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.446	0.554	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.445	0.554	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.445	0.555	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.445	0.555	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.445	0.555	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.445	0.555	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.445	0.555	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.445	0.555	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.445	0.555	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.445	0.555	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.445	0.555	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

0.3695

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2224

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9979

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9972

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9924

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9893

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9879

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9836

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9822

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9742

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9597

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9583

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9562

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9508

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9478

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9469

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9453

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9414

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9402

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9322

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9266

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9242

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9130

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9051

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9005

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8969

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8960

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8936

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8919

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8901

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8833

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8693

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8647

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8625

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8548

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8536

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8514

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8474

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8413

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8397

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8374

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8372

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8323

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8291

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8248

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8162

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8135

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8110

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8039

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7756

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7725

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7713

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7657

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7631

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7628

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7539

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7533

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7485

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7479

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7463

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7406

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7325

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7321

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7285

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7158

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7152

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7126

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7096

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7080

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7060

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7045

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7044

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7033

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7028

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6989

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6982

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6967

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6961

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6931

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6913

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6895

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6818

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6777

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6740

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6708

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6643

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6601

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6571

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6456

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6398

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6397

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6388

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6381

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6269

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6177

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5973

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5862

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5854

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5775

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5732

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5666

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5482

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5426

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5418

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5350

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5325

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5323

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5318

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5273

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5201

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5086

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4939

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4882

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4746

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4746

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4659

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4589

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4476

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4432

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4390

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3834

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3808

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3728

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3698

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3625

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3487

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3384

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3367

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3306

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3225

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3105

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2956

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2916

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2790

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2712

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2596

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.2542

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2395

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2302

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.2033

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1970

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1946

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1931

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1807

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1699

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1603

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1472

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1470

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1368

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1233

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1138

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1090

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0746

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0741

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0677

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0612

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0609

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0598

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`)