TreeWAS – [Z52.5] Cornea donor

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
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.644	0.356	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.642	0.358	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.630	0.370	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.627	0.373	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.624	0.376	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.624	0.376	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.619	0.381	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.618	0.382	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.614	0.386	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.612	0.388	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.610	0.390	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.608	0.392	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.605	0.395	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.603	0.397	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.602	0.397	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.602	0.397	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.593	0.407	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.593	0.407	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.593	0.407	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.590	0.410	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.590	0.410	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.590	0.410	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.587	0.413	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.586	0.414	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.585	0.415	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.585	0.415	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.585	0.415	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.584	0.416	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.584	0.416	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.584	0.416	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.583	0.417	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.582	0.418	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.582	0.418	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.582	0.418	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.582	0.418	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.582	0.418	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.582	0.418	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.581	0.418	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.581	0.419	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.581	0.419	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.580	0.420	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.580	0.420	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.580	0.420	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.580	0.420	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.579	0.421	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.578	0.421	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.576	0.424	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.575	0.425	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.573	0.427	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.573	0.427	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.571	0.428	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.571	0.429	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.571	0.429	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.569	0.430	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.569	0.431	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.568	0.432	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.567	0.433	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.566	0.433	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.566	0.434	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.565	0.435	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.565	0.435	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.565	0.435	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.564	0.436	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.564	0.436	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.563	0.436	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.563	0.437	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.562	0.438	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.562	0.438	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.562	0.438	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.561	0.438	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.560	0.439	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.560	0.440	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.560	0.440	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.559	0.441	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.559	0.441	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.558	0.442	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.558	0.442	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.558	0.442	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.557	0.443	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.557	0.443	0.000
rs73130739 lBF = `7.84824` Chr`3` : `85,287,296`	0.556	0.444	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.556	0.444	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.556	0.444	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.555	0.445	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.555	0.445	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.554	0.445	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.554	0.446	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.553	0.446	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.553	0.446	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.553	0.447	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.553	0.447	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.553	0.447	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.552	0.448	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.551	0.448	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.551	0.449	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.551	0.449	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.550	0.449	0.000
rs73137637 lBF = `6.05154` Chr`3` : `85,006,865`	0.550	0.449	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.550	0.450	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.550	0.450	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.549	0.450	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.548	0.452	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.548	0.452	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.548	0.452	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.547	0.453	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.547	0.453	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.547	0.453	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.546	0.453	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.546	0.454	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.546	0.454	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.546	0.454	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.546	0.454	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.545	0.454	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.545	0.455	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.545	0.455	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.544	0.456	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.544	0.456	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.544	0.456	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.543	0.457	0.000
rs116186330 lBF = `20.4189` Chr`3` : `38,631,145`	0.543	0.457	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.543	0.457	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.542	0.458	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.542	0.458	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.542	0.458	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.542	0.458	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.542	0.458	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.542	0.458	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.541	0.459	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.541	0.459	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.540	0.459	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.540	0.459	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.540	0.459	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.540	0.460	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.540	0.460	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.540	0.460	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.540	0.460	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.539	0.461	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.538	0.462	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.538	0.462	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.538	0.462	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.538	0.462	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.538	0.462	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.537	0.462	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.537	0.462	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.537	0.463	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.536	0.464	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.536	0.464	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.536	0.464	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.535	0.465	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.535	0.465	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.534	0.465	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.534	0.466	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.534	0.466	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.534	0.466	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.534	0.466	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.534	0.466	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.534	0.466	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.534	0.466	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.466	0.534
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.533	0.466	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.533	0.467	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.533	0.467	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.467	0.533
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.532	0.467	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.532	0.468	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.532	0.468	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.532	0.468	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.531	0.468	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.531	0.469	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.531	0.469	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.530	0.469	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.530	0.470	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.530	0.470	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.530	0.470	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.530	0.470	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.530	0.470	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.530	0.470	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.529	0.470	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.529	0.470	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.529	0.470	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.529	0.471	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.529	0.471	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.529	0.471	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.528	0.471	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.528	0.472	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.528	0.472	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.528	0.472	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.528	0.472	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.528	0.472	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.527	0.472	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.527	0.473	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.527	0.473	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.527	0.473	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.526	0.473	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.526	0.474	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.526	0.474	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.526	0.474	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.526	0.474	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.525	0.474	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.525	0.475	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.525	0.475	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.525	0.475	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.524	0.476	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.524	0.476	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.524	0.476	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.524	0.476	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.523	0.476	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.523	0.477	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.523	0.477	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.523	0.477	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.522	0.478	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.521	0.479	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.521	0.479	0.000
rs73176713 lBF = `14.4642` Chr`3` : `174,685,918`	0.521	0.479	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.521	0.479	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.521	0.479	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.520	0.480	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.520	0.480	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.519	0.480	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.519	0.481	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.519	0.481	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.519	0.481	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.519	0.481	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.519	0.481	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.518	0.482	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.518	0.482	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.518	0.482	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.518	0.482	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.518	0.482	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.518	0.482	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.518	0.482	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.517	0.483	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.517	0.483	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.517	0.483	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.517	0.483	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.517	0.483	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.517	0.483	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.517	0.483	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.516	0.484	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.516	0.484	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.516	0.484	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.516	0.484	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.516	0.484	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.515	0.485	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.515	0.485	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.515	0.485	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.515	0.485	0.000
rs75152008 lBF = `19.53` Chr`5` : `51,596,846`	0.515	0.485	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.515	0.485	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.515	0.485	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.515	0.485	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.515	0.485	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.515	0.485	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.514	0.485	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.514	0.486	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.514	0.486	0.000
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.514	0.486	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.514	0.486	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.514	0.486	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.514	0.486	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.514	0.486	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.514	0.486	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.514	0.486	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.514	0.486	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.514	0.486	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.514	0.486	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.514	0.486	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.514	0.486	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.514	0.486	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.514	0.486	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.514	0.486	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.514	0.486	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.514	0.486	0.000
rs72822535 lBF = `18.9213` Chr`5` : `178,907,041`	0.514	0.486	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.514	0.486	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.514	0.486	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.514	0.486	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.514	0.486	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.514	0.486	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.514	0.486	0.000
rs11134474 lBF = `6.22386` Chr`5` : `155,202,528`	0.514	0.486	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.514	0.486	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.514	0.486	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.514	0.486	0.000
rs77330364 lBF = `16.5387` Chr`3` : `79,373,033`	0.514	0.486	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.513	0.486	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.513	0.486	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.513	0.486	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.513	0.486	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.513	0.486	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.513	0.486	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.513	0.486	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.513	0.486	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.513	0.486	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.513	0.487	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.513	0.487	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.513	0.487	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.513	0.487	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.513	0.487	0.000
rs74851542 lBF = `13.846` Chr`6` : `41,232,552`	0.513	0.487	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.513	0.487	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.513	0.487	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.513	0.487	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.513	0.487	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.513	0.487	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.513	0.487	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.513	0.487	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.513	0.487	0.000
rs72770940 lBF = `17.6763` Chr`5` : `76,864,513`	0.513	0.487	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.513	0.487	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.513	0.487	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.513	0.487	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.513	0.487	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.513	0.487	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.513	0.487	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.512	0.487	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.512	0.487	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.512	0.487	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.512	0.487	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.512	0.488	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.512	0.488	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.512	0.488	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.512	0.488	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.512	0.488	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.512	0.488	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.512	0.488	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.512	0.488	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.512	0.488	0.000
rs190548655 lBF = `14.709` Chr`3` : `45,388,151`	0.512	0.488	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.512	0.488	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.512	0.488	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.512	0.488	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.512	0.488	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.512	0.488	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.512	0.488	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.511	0.488	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.511	0.488	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.511	0.488	0.000
rs72955118 lBF = `14.2942` Chr`3` : `71,869,056`	0.511	0.488	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.511	0.488	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.511	0.489	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.511	0.489	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.511	0.489	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.510	0.489	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.510	0.489	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.510	0.490	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.510	0.490	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.510	0.490	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.510	0.490	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.510	0.490	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.510	0.490	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.510	0.490	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.509	0.490	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.509	0.490	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.509	0.491	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.509	0.491	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.509	0.491	0.000
rs60541895 lBF = `14.8112` Chr`1` : `42,088,393`	0.509	0.491	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.509	0.491	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.509	0.491	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.509	0.491	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.509	0.491	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.509	0.491	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.509	0.491	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.509	0.491	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.509	0.491	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.509	0.491	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.508	0.491	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.508	0.491	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.508	0.492	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.508	0.492	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.508	0.492	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.508	0.492	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.508	0.492	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.508	0.492	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.508	0.492	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.508	0.492	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.508	0.492	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.508	0.492	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.508	0.492	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.508	0.492	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.507	0.492	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.507	0.492	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.507	0.493	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.507	0.493	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.507	0.493	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.507	0.493	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.507	0.493	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.507	0.493	0.000
rs74765593 lBF = `18.3408` Chr`3` : `182,339,787`	0.507	0.493	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.506	0.493	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.506	0.493	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.506	0.493	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.506	0.493	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.506	0.493	0.000
rs118035149 lBF = `15.3172` Chr`10` : `17,777,315`	0.506	0.493	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.506	0.494	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.506	0.494	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.506	0.494	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.506	0.494	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.506	0.494	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.506	0.494	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.506	0.494	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.506	0.494	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.506	0.494	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.506	0.494	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.506	0.494	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.505	0.494	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.506	0.494	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.505	0.494	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.505	0.494	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.505	0.494	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.505	0.495	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.505	0.495	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.505	0.495	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.505	0.495	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.505	0.495	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.505	0.495	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.505	0.495	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.505	0.495	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.505	0.495	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.504	0.495	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.504	0.495	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.504	0.496	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.504	0.496	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.504	0.496	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.504	0.496	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.504	0.496	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.504	0.496	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.504	0.496	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.504	0.496	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.504	0.496	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.504	0.496	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.504	0.496	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.503	0.496	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.503	0.496	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.503	0.496	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.503	0.496	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.503	0.496	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.503	0.496	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.503	0.497	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.503	0.497	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.503	0.497	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.503	0.497	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.503	0.497	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.503	0.497	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.503	0.497	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.503	0.497	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.503	0.497	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.503	0.497	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.502	0.497	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.502	0.497	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.502	0.498	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.502	0.498	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.502	0.498	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.502	0.498	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.502	0.498	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.501	0.498	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.501	0.498	0.000
rs74427637 lBF = `7.16635` Chr`3` : `792,827`	0.501	0.498	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.501	0.499	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.501	0.499	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.501	0.499	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.501	0.499	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.501	0.499	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.501	0.499	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.500	0.499	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.500	0.499	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.500	0.499	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.500	0.500	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.500	0.500	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.500	0.500	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.500	0.500	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.500	0.500	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.500	0.500	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.500	0.500	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.500	0.500	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.500	0.500	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.499	0.500	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.499	0.500	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.499	0.500	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.499	0.501	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.499	0.501	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.499	0.501	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.499	0.501	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.499	0.501	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.499	0.501	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.499	0.501	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.499	0.501	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.499	0.501	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.499	0.501	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.498	0.501	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.498	0.501	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.498	0.502	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.498	0.502	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.498	0.502	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.498	0.502	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.498	0.502	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.498	0.502	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.498	0.502	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4908

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4844

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7132

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7105

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7104

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7082

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7056

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6995

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6994

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6948

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6916

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6915

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6907

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6901

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6828

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6795

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6790

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6752

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6744

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6744

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6725

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6712

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6676

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6663

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6625

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6621

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6574

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6566

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6555

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6550

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6545

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6542

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6531

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6522

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6514

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6510

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6500

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6487

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6484

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6481

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6468

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6466

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6457

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6450

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6438

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6398

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6395

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6387

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6368

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6365

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6359

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6356

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6322

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6305

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6291

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6286

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6262

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6244

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6195

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6195

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6195

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6184

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6143

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6101

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6089

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6041

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6041

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6027

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6015

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6010

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5975

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5956

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5947

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5926

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5924

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5911

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5909

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5907

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5896

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5886

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5869

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5843

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5798

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5774

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5769

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5758

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5736

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5712

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5679

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5646

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5644

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5609

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5595

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5569

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5553

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5545

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5541

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5540

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5511

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5500

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5490

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5457

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5412

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5410

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5371

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5348

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5323

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5295

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5131

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5074

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4952

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4941

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4926

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4879

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4873

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4846

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4754

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4752

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4752

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4707

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4702

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4576

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4529

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4511

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4286

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4058

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4030

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4015

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3884

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3841

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3819

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3576

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3449

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3415

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3401

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3383

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3360

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2981

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2864

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2836

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2536

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2488

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2465

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2261

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2047

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2012

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1883

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1814

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1769

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1655

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1641

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1624

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1425

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0915

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0821

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0781

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0738

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0716

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0697

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0644

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0615

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0576

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0575

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`)