TreeWAS – [S36.1] Injury of liver or gallbladder

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

S36.1

Injury of liver or gallbladder

Parent term	S36 Injury of intra-abdominal organs
Nested terms	S36.10 Injury of liver or gallbladder (without open wound into cavity) S36.11 Injury of liver or gallbladder (with open wound into cavity)

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Variant effects

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.705	0.295	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.683	0.317	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.678	0.321	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.668	0.332	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.666	0.334	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.659	0.341	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.655	0.345	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.637	0.363	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.632	0.367	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.632	0.368	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.614	0.386	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.614	0.386	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.613	0.387	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.613	0.387	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.612	0.388	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.611	0.389	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.611	0.389	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.610	0.390	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.608	0.392	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.606	0.394	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.604	0.396	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.602	0.397	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.602	0.398	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.596	0.404	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.596	0.404	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.595	0.405	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.595	0.405	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.593	0.407	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.592	0.408	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.590	0.410	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.589	0.411	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.587	0.413	0.000
rs35487354 lBF = `14.9055` Chr`11` : `65,366,882`	0.587	0.413	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.586	0.413	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.586	0.414	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.586	0.414	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.585	0.415	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.585	0.415	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.584	0.416	0.000
rs2229092 lBF = `13.1652` Chr`6` : `31,540,757`	0.583	0.417	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.583	0.417	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.582	0.418	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.581	0.418	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.581	0.419	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.580	0.420	0.000
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.580	0.420	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.576	0.423	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.575	0.425	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.574	0.426	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.572	0.428	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.572	0.428	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.572	0.428	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.571	0.429	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.571	0.429	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.571	0.429	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.571	0.429	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.570	0.430	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.570	0.430	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.570	0.430	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.569	0.431	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.568	0.432	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.567	0.433	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.566	0.433	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.566	0.433	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.566	0.434	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.566	0.434	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.565	0.435	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.565	0.435	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.564	0.436	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.564	0.436	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.564	0.436	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.563	0.437	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.562	0.438	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.561	0.439	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.561	0.439	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.560	0.439	0.000
rs1205863 lBF = `4.47119` Chr`6` : `11,943,526`	0.560	0.440	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.560	0.440	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.560	0.440	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.560	0.440	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.559	0.440	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.559	0.441	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.559	0.441	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.558	0.442	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.558	0.442	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.557	0.442	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.557	0.442	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.557	0.443	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.555	0.444	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.555	0.445	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.553	0.446	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.553	0.447	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.553	0.447	0.000
rs397081 lBF = `8.41448` Chr`6` : `32,192,617`	0.552	0.447	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.551	0.449	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.551	0.449	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.549	0.451	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.548	0.451	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.548	0.451	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.548	0.452	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.548	0.452	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.548	0.452	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.547	0.452	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.547	0.453	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.547	0.453	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.547	0.453	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.545	0.455	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.545	0.455	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.544	0.455	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.544	0.456	0.000
rs400547 lBF = `5.30378` Chr`6` : `31,702,710`	0.544	0.456	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.544	0.456	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.543	0.457	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.543	0.457	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.543	0.457	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.543	0.457	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.543	0.457	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.542	0.458	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.542	0.458	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.542	0.458	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.542	0.458	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.542	0.458	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.541	0.459	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.541	0.459	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.540	0.460	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.540	0.460	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.539	0.461	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.539	0.461	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.538	0.461	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.538	0.461	0.000
rs9468487 lBF = `19.8045` Chr`6` : `29,107,052`	0.537	0.463	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.536	0.463	0.000
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.536	0.464	0.000
rs707915 lBF = `5.32824` Chr`6` : `31,710,968`	0.536	0.464	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.536	0.464	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.535	0.465	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.535	0.465	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.534	0.466	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.533	0.467	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.533	0.467	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.532	0.468	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.530	0.469	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.530	0.470	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.529	0.470	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.529	0.471	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.528	0.472	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.528	0.472	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.528	0.472	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.527	0.473	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.527	0.473	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.527	0.473	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.526	0.474	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.526	0.474	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.526	0.474	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.525	0.474	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.525	0.475	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.524	0.476	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.524	0.476	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.523	0.476	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.523	0.477	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.523	0.477	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.523	0.477	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.523	0.477	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.522	0.478	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.522	0.478	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.521	0.478	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.521	0.479	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.521	0.479	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.520	0.480	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.519	0.481	0.000
rs28724252 lBF = `242.458` Chr`6` : `32,629,549`	0.519	0.481	0.000
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.519	0.481	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.519	0.481	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.519	0.481	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.519	0.481	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.518	0.482	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.518	0.482	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.518	0.482	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.518	0.482	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.518	0.482	0.000
rs111751241 lBF = `9.57727` Chr`1` : `183,349,952`	0.517	0.483	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.517	0.483	0.000
rs117951468 lBF = `7.18639` Chr`14` : `69,324,972`	0.517	0.483	0.000
rs12492992 lBF = `6.38992` Chr`3` : `196,883,562`	0.516	0.484	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.516	0.484	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.515	0.485	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.515	0.485	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.514	0.485	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.514	0.486	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.514	0.486	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.514	0.486	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.513	0.487	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.513	0.487	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.513	0.487	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.513	0.487	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.513	0.487	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.513	0.487	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.513	0.487	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.513	0.487	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.512	0.488	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.511	0.488	0.000
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Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.508	0.492	0.000
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rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.482	0.518	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.482	0.518	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.482	0.518	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.482	0.518	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.482	0.518	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.482	0.518	0.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.482	0.518	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.482	0.518	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.482	0.518	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.481	0.518	0.000
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	0.481	0.519	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.481	0.519	0.000
rs3094630 lBF = `232.417` Chr`6` : `30,232,436`	0.481	0.519	0.000
rs1130399 lBF = `228.586` Chr`6` : `32,629,755`	0.481	0.519	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.481	0.519	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.481	0.519	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.481	0.519	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.481	0.519	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.480	0.519	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.480	0.519	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.480	0.519	0.000
rs9501239 lBF = `16.8023` Chr`6` : `32,895,580`	0.480	0.520	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.480	0.520	0.000
rs860340 lBF = `5.06795` Chr`3` : `186,889,320`	0.480	0.520	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.480	0.520	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.480	0.520	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.480	0.520	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.480	0.520	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.480	0.520	0.000
rs3129701 lBF = `233.098` Chr`6` : `30,232,672`	0.480	0.520	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.479	0.520	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.479	0.520	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.479	0.520	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.479	0.520	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.479	0.521	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.479	0.521	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.479	0.521	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.479	0.521	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.479	0.521	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.479	0.521	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.479	0.521	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.479	0.521	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.479	0.521	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.479	0.521	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.479	0.521	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.478	0.521	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.478	0.521	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.478	0.522	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.478	0.522	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.478	0.522	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.478	0.522	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.478	0.522	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.478	0.522	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.477	0.522	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.477	0.522	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.477	0.523	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.477	0.523	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.477	0.523	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.477	0.523	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.477	0.523	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.477	0.523	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.477	0.523	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.476	0.523	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.476	0.523	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.476	0.523	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.476	0.524	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.476	0.524	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.476	0.524	0.000
rs9267532 lBF = `5.4348` Chr`6` : `31,639,979`	0.476	0.524	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.476	0.524	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.476	0.524	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.476	0.524	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.476	0.524	0.000
rs114753591 lBF = `7.03822` Chr`5` : `43,356,042`	0.476	0.524	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.476	0.524	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.476	0.524	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.476	0.524	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.476	0.524	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.476	0.524	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.475	0.524	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.475	0.524	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.475	0.525	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.475	0.525	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.475	0.525	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.475	0.525	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.475	0.525	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.475	0.525	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.474	0.525	0.000
rs6656088 lBF = `5.87242` Chr`1` : `225,909,815`	0.474	0.525	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.474	0.525	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.474	0.525	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.474	0.525	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.474	0.525	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.474	0.525	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.474	0.525	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.474	0.525	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.474	0.526	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4767

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3167

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9917

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9709

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9639

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9539

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9385

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9203

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9052

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9038

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8934

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.8791

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8716

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8496

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8285

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8109

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8098

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7997

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7997

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7774

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7747

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7711

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7660

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7658

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7639

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7464

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7320

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7279

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7238

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7220

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7179

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7111

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7028

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7020

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6977

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6965

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6890

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6871

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6764

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6701

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6638

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6606

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6604

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6570

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6516

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6502

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6479

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6457

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6431

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6373

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6343

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6337

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6310

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6302

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6276

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6212

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6208

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.6176

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6156

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6140

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6112

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6101

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6066

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6057

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6035

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6024

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6005

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5994

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5943

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5857

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5782

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5766

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5745

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5743

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5725

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5700

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5680

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5680

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5667

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5625

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5602

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5537

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5532

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5506

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5479

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5395

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5387

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5279

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5276

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5219

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5217

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5210

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5178

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5139

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5139

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5139

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5139

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5138

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5138

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5138

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5138

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5137

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5137

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5136

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5136

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5136

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5136

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5135

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5133

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5133

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5133

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5132

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5130

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5130

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5129

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5126

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5124

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5120

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5110

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5110

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5108

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5104

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5104

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5103

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5100

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5086

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5085

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5081

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5077

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5075

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5059

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5050

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5047

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5047

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5046

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5046

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5038

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5033

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5030

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5028

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5023

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5011

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4986

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4986

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4982

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4971

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4956

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4948

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4923

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4911

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4896

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4892

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4873

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4865

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4836

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4824

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4822

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4808

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4762

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4754

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4751

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4743

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4727

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4725

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4697

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4675

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4675

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4641

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4555

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4541

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4515

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4489

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4471

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4468

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4447

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4429

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4424

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4370

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4366

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.4340

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4323

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4318

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4302

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4214

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4213

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4105

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3875

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3863

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3846

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3797

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3716

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3527

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3395

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3311

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.3257

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3129

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3099

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2901

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2444

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.2394

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2286

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2240

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2090

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1936

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1857

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1553

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1363

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.1238

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1232

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0798

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0755

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0542

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)

Hospitalization Episode Statistics (`HES`)