TreeWAS – [N99.1] Postprocedural urethral stricture

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.865	0.135	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.862	0.138	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.769	0.231	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.769	0.231	0.000
rs1265103 lBF = `20.4044` Chr`6` : `31,100,978`	0.749	0.251	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.707	0.293	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.702	0.298	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.698	0.302	0.000
rs3107575 lBF = `3.18466` Chr`3` : `165,345,201`	0.692	0.308	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.677	0.323	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.677	0.323	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.674	0.326	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.672	0.328	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.669	0.331	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.667	0.333	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.666	0.334	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.662	0.338	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.660	0.339	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.659	0.341	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.656	0.344	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.655	0.345	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.654	0.345	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.650	0.349	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.649	0.351	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.647	0.353	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.645	0.355	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.644	0.356	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.641	0.359	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.637	0.363	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.634	0.365	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.631	0.369	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.630	0.370	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.628	0.372	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.627	0.373	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.626	0.374	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.625	0.375	0.000
rs1265096 lBF = `29.8459` Chr`6` : `31,106,489`	0.624	0.376	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.624	0.376	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.623	0.377	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.623	0.377	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.621	0.379	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.620	0.380	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.619	0.381	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.619	0.381	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.619	0.381	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.616	0.384	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.615	0.385	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.614	0.385	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.612	0.388	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.611	0.389	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.610	0.390	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.609	0.390	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.609	0.391	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.608	0.392	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.608	0.392	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.605	0.395	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.605	0.395	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.604	0.396	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.603	0.397	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.603	0.397	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.602	0.398	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.601	0.399	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.599	0.401	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.596	0.404	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.595	0.405	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.593	0.407	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.593	0.407	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
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.590	0.410	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.588	0.412	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.587	0.412	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.587	0.413	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.583	0.416	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.583	0.417	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.581	0.419	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.581	0.419	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.581	0.419	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.581	0.419	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.581	0.419	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.580	0.420	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.579	0.421	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.579	0.421	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.578	0.422	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.576	0.424	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.575	0.425	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.573	0.426	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.572	0.427	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.571	0.429	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.571	0.429	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.571	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
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.569	0.431	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.568	0.432	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.568	0.432	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.566	0.434	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.565	0.435	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.564	0.435	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
rs3025642 lBF = `5.84552` Chr`6` : `29,570,316`	0.563	0.437	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.563	0.437	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.563	0.437	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.561	0.439	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
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	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
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.560	0.440	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.560	0.440	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.558	0.441	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.558	0.441	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.558	0.442	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.557	0.442	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.557	0.442	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.557	0.443	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.556	0.444	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.556	0.444	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.556	0.444	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.553	0.446	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
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	0.550	0.450	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	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
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
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.546	0.454	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.545	0.455	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.545	0.455	0.000
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
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.543	0.456	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.543	0.457	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.543	0.457	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.541	0.458	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.541	0.458	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.541	0.459	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.541	0.459	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	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
rs61820511 lBF = `8.52267` Chr`1` : `191,420,181`	0.539	0.461	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.537	0.463	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.536	0.464	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.536	0.464	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.536	0.464	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.535	0.464	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	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
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.534	0.466	0.000
rs2248477 lBF = `30.0926` Chr`6` : `31,447,005`	0.534	0.466	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.533	0.467	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.530	0.469	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.530	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
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.528	0.472	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.528	0.472	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.527	0.473	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.526	0.473	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.526	0.474	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.526	0.474	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.523	0.477	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.523	0.477	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.523	0.477	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.522	0.477	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.522	0.478	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.522	0.478	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.520	0.480	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.520	0.480	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.520	0.480	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.519	0.481	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.518	0.482	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.518	0.482	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.518	0.482	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.518	0.482	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.517	0.483	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.517	0.483	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.516	0.483	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.516	0.484	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.515	0.484	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.515	0.485	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.515	0.485	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.515	0.485	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.515	0.485	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.515	0.485	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.515	0.485	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.515	0.485	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.515	0.485	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.514	0.486	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.514	0.486	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.514	0.486	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.513	0.486	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.513	0.487	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.513	0.487	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.513	0.487	0.000
rs17083533 lBF = `1.99367` Chr`6` : `121,730,722`	0.512	0.488	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.512	0.488	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.512	0.488	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.512	0.488	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.511	0.489	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.511	0.489	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.511	0.489	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.510	0.490	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.510	0.490	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.510	0.490	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.510	0.490	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.510	0.490	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.509	0.490	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.509	0.491	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.509	0.491	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.509	0.491	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.509	0.491	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.508	0.491	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.508	0.491	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.508	0.492	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.508	0.492	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.508	0.492	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.507	0.493	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.507	0.493	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.507	0.493	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.507	0.493	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.506	0.494	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.505	0.494	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.505	0.495	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.505	0.495	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.504	0.495	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.504	0.496	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.504	0.496	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.504	0.496	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.502	0.497	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.500	0.500	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.500	0.500	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.500	0.500	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.500	0.500	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.499	0.501	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.499	0.501	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.499	0.501	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.499	0.501	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.498	0.501	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.498	0.501	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.498	0.502	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.498	0.502	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.498	0.502	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.498	0.502	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.497	0.502	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.497	0.502	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.497	0.503	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.497	0.503	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.496	0.504	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.496	0.504	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.496	0.504	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.496	0.504	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.495	0.504	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.495	0.505	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.495	0.505	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.494	0.505	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.494	0.506	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.494	0.506	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.493	0.507	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.493	0.507	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.493	0.507	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.493	0.507	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.492	0.507	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.492	0.508	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.492	0.508	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.491	0.508	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.491	0.509	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.490	0.510	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.489	0.510	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.489	0.511	0.000
rs115054975 lBF = `18.9742` Chr`5` : `121,620,784`	0.489	0.511	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.488	0.512	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.488	0.512	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.488	0.512	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.488	0.512	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.487	0.512	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.487	0.512	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.487	0.513	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.487	0.513	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.487	0.513	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.486	0.513	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.486	0.513	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.486	0.514	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.486	0.514	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.485	0.514	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.485	0.514	0.000
rs17093520 lBF = `7.13877` Chr`14` : `74,346,295`	0.485	0.515	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.485	0.515	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.485	0.515	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.485	0.515	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.484	0.516	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.484	0.516	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.484	0.516	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.483	0.517	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.483	0.517	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.483	0.517	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.483	0.517	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.483	0.517	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.482	0.517	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.482	0.518	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.482	0.518	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.482	0.518	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.482	0.518	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.481	0.519	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.481	0.519	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.481	0.519	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.481	0.519	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.480	0.519	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.480	0.520	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.480	0.520	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.479	0.521	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.479	0.521	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.479	0.521	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.479	0.521	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.478	0.522	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.478	0.522	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.478	0.522	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.477	0.522	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.477	0.522	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.477	0.523	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.477	0.523	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.477	0.523	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.476	0.524	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.476	0.524	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.475	0.525	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.475	0.525	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.474	0.526	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.474	0.526	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.474	0.526	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.474	0.526	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.474	0.526	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.473	0.527	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.473	0.527	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.473	0.527	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.472	0.528	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.472	0.528	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.472	0.528	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.472	0.528	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.471	0.529	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.471	0.529	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.471	0.529	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.529	0.471
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	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
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.470	0.530	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
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.470	0.530	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.470	0.530	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.470	0.530	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.470	0.530	0.000
rs149049329 lBF = `6.27065` Chr`3` : `187,597,927`	0.469	0.530	0.000
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.469	0.531	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.469	0.531	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.469	0.531	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.468	0.531	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.468	0.532	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.468	0.532	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
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.467	0.533	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.466	0.534	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.466	0.534	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.465	0.534	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.465	0.535	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.464	0.535	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.464	0.536	0.000
rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.464	0.536	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.464	0.536	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.464	0.536	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.463	0.537	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`	0.462	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
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.462	0.538	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.462	0.538	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
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
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	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
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.458	0.541	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	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
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.457	0.543	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	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
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.456	0.544	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
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
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.454	0.546	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.454	0.546	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.453	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
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.452	0.547	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
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	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
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.450	0.550	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.450	0.550	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.450	0.550	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.449	0.550	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.449	0.550	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.449	0.550	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.449	0.550	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
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.449	0.551	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.449	0.551	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.448	0.551	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.448	0.551	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	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
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.447	0.553	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.447	0.553	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.447	0.553	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.446	0.554	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.446	0.554	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
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.446	0.554	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.446	0.554	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.446	0.554	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.445	0.554	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.445	0.555	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.445	0.555	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.445	0.555	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.444	0.555	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.444	0.556	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.444	0.556	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.444	0.556	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.444	0.556	0.000
rs182946095 lBF = `14.8151` Chr`6` : `167,730,166`	0.443	0.557	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.443	0.557	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.443	0.557	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.443	0.557	0.000
rs9266340 lBF = `17.9247` Chr`6` : `31,331,306`	0.442	0.557	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.443	0.557	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.442	0.557	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.442	0.558	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.442	0.558	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.442	0.558	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.442	0.558	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.441	0.558	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.441	0.559	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.441	0.559	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.441	0.559	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.441	0.559	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.441	0.559	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.440	0.559	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.440	0.559	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.440	0.560	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.440	0.560	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.440	0.560	0.000
rs77176328 lBF = `15.521` Chr`14` : `71,370,689`	0.439	0.560	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.439	0.561	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.439	0.561	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.439	0.561	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.439	0.561	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.438	0.561	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.438	0.561	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.438	0.562	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.438	0.562	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.437	0.563	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.437	0.563	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.436	0.564	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.436	0.564	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.436	0.564	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

0.2759

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9833

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9492

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9431

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9353

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9105

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8876

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8717

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8708

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8595

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8574

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8548

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8499

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8337

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8329

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8306

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8255

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8241

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8208

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8133

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8056

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8034

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8027

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8006

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8004

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7912

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7877

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7809

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7732

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7669

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7622

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7513

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7499

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7418

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7413

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7401

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7377

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7198

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7166

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7158

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7158

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7152

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7143

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7139

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7129

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7109

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7070

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7068

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7060

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7059

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7047

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7046

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 X0067

log Bayes Factor = 179.381

contains 8 variants

0.6991

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6976

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6968

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6885

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6871

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6862

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6795

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6789

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6757

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6757

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6666

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6638

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6626

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6622

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6601

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6599

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6588

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6571

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6537

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6509

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6482

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6468

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6468

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6398

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6397

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6384

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6379

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6368

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6344

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6330

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6325

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6290

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6247

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6201

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6198

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6177

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6062

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5914

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5775

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5701

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5678

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5666

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5666

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5551

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5485

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5482

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5273

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5262

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5248

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5196

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5191

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5069

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 X0018

log Bayes Factor = 430.611

contains 18 variants

0.4867

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4808

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4797

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4762

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4703

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4696

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4471

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4257

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4193

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4176

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4171

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4150

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4069

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4032

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4006

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3854

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3854

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3698

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3596

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3578

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3523

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3306

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3285

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3248

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3225

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3016

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2932

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2771

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2727

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2718

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2679

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2597

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2395

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1985

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1908

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1817

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1747

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1682

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1620

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1475

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1438

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1379

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.1377

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1372

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1110

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0975

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0831

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0726

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0701

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0532

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0521

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`)