TreeWAS – [K10.8] Other specified diseases of jaws

Variant effects

Click on a variant to see its association results.

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

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.706	0.294	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.631	0.369	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.629	0.371	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.625	0.375	0.000
rs60123959 lBF = `5.86843` Chr`2` : `237,477,938`	0.598	0.402	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.569	0.431	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.568	0.432	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.564	0.435	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.559	0.441	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.539	0.460	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.533	0.467	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.527	0.473	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.519	0.481	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.516	0.484	0.000
rs114709725 lBF = `15.4695` Chr`2` : `207,557,965`	0.511	0.489	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.507	0.493	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.496	0.504	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.494	0.505	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.490	0.510	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.486	0.514	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.485	0.514	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.483	0.516	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.480	0.520	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.479	0.520	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.475	0.525	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.474	0.526	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.474	0.526	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.471	0.529	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.455	0.545	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.452	0.548	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.451	0.548	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.451	0.549	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.450	0.550	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.445	0.555	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.441	0.559	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.439	0.561	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.438	0.562	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.438	0.562	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.434	0.565	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.430	0.570	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.425	0.575	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.420	0.580	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.412	0.588	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.409	0.591	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.408	0.591	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.404	0.596	0.000
rs75598744 lBF = `3.85923` Chr`2` : `82,016,463`	0.398	0.602	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.398	0.602	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.392	0.607	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.390	0.609	0.002
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.389	0.610	0.001
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.388	0.612	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.384	0.616	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.618	0.382
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.380	0.619	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.380	0.620	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.376	0.623	0.000
rs181660893 lBF = `3.37336` Chr`2` : `82,026,934`	0.376	0.624	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.375	0.625	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.373	0.627	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.369	0.631	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.365	0.635	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.361	0.639	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.355	0.644	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.353	0.647	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.353	0.647	0.000
rs148411008 lBF = `1.32232` Chr`2` : `171,654,272`	0.352	0.647	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.351	0.648	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.346	0.654	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.339	0.661	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.334	0.666	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.328	0.672	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.328	0.672	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.319	0.680	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.319	0.681	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.316	0.684	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.315	0.684	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.312	0.687	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.312	0.688	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.310	0.690	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.310	0.690	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.307	0.693	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.301	0.698	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.301	0.699	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.296	0.703	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.295	0.704	0.001
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.290	0.709	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.283	0.716	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.274	0.725	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.274	0.726	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.271	0.729	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.270	0.730	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.269	0.731	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.266	0.734	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.259	0.741	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.252	0.747	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.247	0.753	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.240	0.760	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.239	0.761	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.237	0.763	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.232	0.768	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.232	0.768	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.227	0.773	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.225	0.775	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.222	0.778	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.219	0.781	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.218	0.782	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.214	0.786	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.212	0.788	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.208	0.791	0.000
rs13391419 lBF = `0.676772` Chr`2` : `222,921,916`	0.191	0.809	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.188	0.812	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.185	0.814	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.184	0.816	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.177	0.823	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.175	0.825	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.173	0.827	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.173	0.827	0.000
rs183373550 lBF = `1.19395` Chr`2` : `141,269,442`	0.000	0.830	0.169
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.165	0.834	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.163	0.837	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.162	0.838	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.162	0.838	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.161	0.839	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.153	0.846	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.153	0.847	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.149	0.851	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.148	0.851	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.146	0.854	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.143	0.857	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.137	0.863	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.137	0.863	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.128	0.872	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.126	0.874	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.123	0.877	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.123	0.877	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.115	0.885	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.110	0.889	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.110	0.890	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.109	0.891	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.106	0.894	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.101	0.899	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.098	0.901	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.098	0.902	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.097	0.902	0.001
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.097	0.903	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.095	0.905	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.095	0.905	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.092	0.908	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.092	0.908	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.091	0.909	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.091	0.909	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.085	0.914	0.001
rs181867028 lBF = `0.380125` Chr`2` : `2,545,734`	0.084	0.916	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.083	0.917	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.081	0.919	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.078	0.922	0.000
rs115249811 lBF = `0.120835` Chr`2` : `50,927,119`	0.078	0.922	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.075	0.925	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.074	0.925	0.000
rs56988800 lBF = `1.77665` Chr`2` : `71,688,118`	0.072	0.927	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.071	0.929	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.069	0.931	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.068	0.932	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.068	0.932	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.068	0.932	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.066	0.934	0.000
rs80196851 lBF = `0.069502` Chr`2` : `173,789,113`	0.063	0.937	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.063	0.937	0.000
rs187293906 lBF = `0.0850575` Chr`2` : `70,665,662`	0.062	0.937	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.062	0.938	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.062	0.938	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.061	0.939	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.059	0.941	0.000
rs41360247 lBF = `243.711` Chr`2` : `44,073,656`	0.055	0.945	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.052	0.948	0.000
rs72836344 lBF = `6.53559` Chr`2` : `111,874,699`	0.052	0.948	0.000
rs72875462 lBF = `236.37` Chr`2` : `44,079,310`	0.052	0.948	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.051	0.948	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.050	0.949	0.000
rs75260059 lBF = `0.0451493` Chr`2` : `200,616,257`	0.046	0.954	0.000
rs183369189 lBF = `1.70547` Chr`2` : `155,812,392`	0.044	0.956	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.042	0.958	0.000
Affx-20089987 lBF = `239.985` Chr`2` : `44,065,090`	0.041	0.958	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.041	0.959	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.039	0.960	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.039	0.960	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.038	0.961	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.038	0.961	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.038	0.962	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.037	0.963	0.000
rs185580150 lBF = `0.118488` Chr`2` : `27,730,367`	0.035	0.964	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.034	0.965	0.001
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.034	0.966	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.034	0.966	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.030	0.970	0.000
rs12053254 lBF = `0.176951` Chr`2` : `190,607,153`	0.030	0.970	0.000
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.030	0.970	0.000
rs74760234 lBF = `0.0491385` Chr`2` : `56,025,873`	0.030	0.970	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.029	0.971	0.000
rs184148048 lBF = `0.149457` Chr`2` : `66,439,289`	0.028	0.971	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.027	0.973	0.000
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rs11903757 lBF = `-0.0639561` Chr`2` : `192,587,204`	0.000	0.998	0.002
rs12694997 lBF = `0.0161743` Chr`2` : `242,262,986`	0.000	0.998	0.002
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.002	0.998	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.002	0.998	0.000
rs6710518 lBF = `-0.0906456` Chr`2` : `166,583,244`	0.000	0.998	0.002
rs34395537 lBF = `0.806055` Chr`2` : `184,492,741`	0.002	0.998	0.000
rs183699028 lBF = `0.0221785` Chr`2` : `14,157,255`	0.002	0.998	0.000
rs6543610 lBF = `0.00179305` Chr`2` : `31,376,654`	0.001	0.998	0.000
rs713587 lBF = `0.0534127` Chr`2` : `25,158,281`	0.002	0.998	0.000
rs1875263 lBF = `72.1442` Chr`2` : `234,625,622`	0.000	0.998	0.002
rs181043431 lBF = `0.00107974` Chr`2` : `26,909,176`	0.001	0.998	0.000
rs4848780 lBF = `-0.0723746` Chr`2` : `123,224,400`	0.002	0.998	0.000
rs2540917 lBF = `2.79436` Chr`2` : `60,608,759`	0.000	0.998	0.002
rs143020225 lBF = `0.00107086` Chr`2` : `167,214,714`	0.001	0.998	0.000
rs3109133 lBF = `-0.0294618` Chr`2` : `133,303,538`	0.000	0.998	0.002
rs6726821 lBF = `-0.0921812` Chr`2` : `166,578,114`	0.000	0.998	0.002
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.001	0.998	0.001
rs1035977 lBF = `8.7775` Chr`2` : `57,232,308`	0.001	0.998	0.000
rs4141819 lBF = `-0.0181624` Chr`2` : `67,864,675`	0.002	0.998	0.000
rs882300 lBF = `0.0689497` Chr`2` : `136,976,255`	0.000	0.998	0.002
rs76854344 lBF = `0.0424469` Chr`2` : `124,753,156`	0.000	0.998	0.001
rs4148323 lBF = `0.00143379` Chr`2` : `234,669,144`	0.001	0.998	0.000
rs16857178 lBF = `-0.0143323` Chr`2` : `11,257,505`	0.002	0.998	0.000
rs4664774 lBF = `0.137289` Chr`2` : `156,579,660`	0.000	0.998	0.002
rs7580658 lBF = `-0.0287567` Chr`2` : `128,159,261`	0.000	0.998	0.002
rs7578361 lBF = `-0.067723` Chr`2` : `150,397,218`	0.002	0.998	0.000
rs889956 lBF = `-0.0734377` Chr`2` : `57,404,834`	0.002	0.998	0.000
rs7561528 lBF = `-0.0836778` Chr`2` : `127,889,637`	0.000	0.998	0.002
rs2070959 lBF = `118.235` Chr`2` : `234,602,191`	0.000	0.998	0.002
rs144060362 lBF = `0.0060623` Chr`2` : `237,583,722`	0.001	0.998	0.000
rs17022444 lBF = `0.00117129` Chr`2` : `83,029,469`	0.001	0.998	0.000
rs1000916 lBF = `-0.012058` Chr`2` : `31,314,555`	0.001	0.998	0.000
rs7565124 lBF = `-0.0308851` Chr`2` : `20,261,685`	0.001	0.998	0.000
rs16841200 lBF = `0.00127703` Chr`2` : `157,868,868`	0.001	0.998	0.000
rs12714207 lBF = `-0.112871` Chr`2` : `88,315,793`	0.002	0.998	0.000
rs10173355 lBF = `117.908` Chr`2` : `234,597,321`	0.000	0.998	0.002
rs12993006 lBF = `0.0669` Chr`2` : `127,758,448`	0.002	0.998	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.001	0.998	0.000
rs73954691 lBF = `-0.00081101` Chr`2` : `128,421,245`	0.001	0.998	0.000
rs77059113 lBF = `9.7216` Chr`2` : `43,672,508`	0.001	0.998	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.000	0.998	0.001
rs2163237 lBF = `1.51567` Chr`2` : `55,973,732`	0.000	0.998	0.001
rs6727879 lBF = `0.00077661` Chr`2` : `231,026,592`	0.001	0.998	0.000
rs13015080 lBF = `0.0959304` Chr`2` : `217,384,482`	0.001	0.999	0.000
rs16831047 lBF = `-0.0323197` Chr`2` : `200,010,475`	0.001	0.999	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.001	0.999	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.001	0.999	0.000
rs713586 lBF = `0.0630322` Chr`2` : `25,158,008`	0.001	0.999	0.000
rs7576072 lBF = `0.00315065` Chr`2` : `164,630,952`	0.001	0.999	0.001
rs115455308 lBF = `0.00082877` Chr`2` : `71,042,418`	0.001	0.999	0.000
rs13395546 lBF = `0.00078103` Chr`2` : `131,545,192`	0.001	0.999	0.000
rs4662834 lBF = `-0.065174` Chr`2` : `129,478,842`	0.000	0.999	0.001
rs10170236 lBF = `-0.0785671` Chr`2` : `150,457,624`	0.001	0.999	0.000
rs12474201 lBF = `-0.0819317` Chr`2` : `46,921,285`	0.000	0.999	0.001
rs111571364 lBF = `1.65625` Chr`2` : `27,859,317`	0.000	0.999	0.001
rs7578199 lBF = `-0.0134561` Chr`2` : `242,192,848`	0.000	0.999	0.001
rs11891311 lBF = `74.9936` Chr`2` : `234,639,310`	0.000	0.999	0.001
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.000	0.999	0.001
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.001	0.999	0.000
rs12692398 lBF = `0.509529` Chr`2` : `10,200,316`	0.001	0.999	0.000
rs1799810 lBF = `0.0224541` Chr`2` : `128,176,040`	0.001	0.999	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.001	0.999	0.000
rs186552003 lBF = `0.0643485` Chr`2` : `47,670,254`	0.000	0.999	0.001
rs12105510 lBF = `-0.0750224` Chr`2` : `75,869,828`	0.001	0.999	0.000
rs4477910 lBF = `112.922` Chr`2` : `234,643,737`	0.000	0.999	0.001
rs6740462 lBF = `0.024552` Chr`2` : `65,667,272`	0.000	0.999	0.001
rs6747380 lBF = `-0.0410723` Chr`2` : `56,587,749`	0.001	0.999	0.000
rs4252023 lBF = `0.00078678` Chr`2` : `113,890,373`	0.001	0.999	0.000
rs1014667 lBF = `-0.00874071` Chr`2` : `50,748,755`	0.000	0.999	0.001
rs12464624 lBF = `0.422993` Chr`2` : `71,734,898`	0.000	0.999	0.001
rs140133294 lBF = `-0.00353427` Chr`2` : `11,270,150`	0.001	0.999	0.000
rs892877 lBF = `-0.0641435` Chr`2` : `137,873,347`	0.001	0.999	0.000
rs7583236 lBF = `-0.028244` Chr`2` : `70,182,805`	0.000	0.999	0.001
rs17006206 lBF = `0.000623` Chr`2` : `27,907,473`	0.001	0.999	0.000
rs6721181 lBF = `0.00048355` Chr`2` : `40,115,696`	0.001	0.999	0.000
rs2284932 lBF = `-0.083149` Chr`2` : `208,012,509`	0.000	0.999	0.001
rs11692021 lBF = `85.0114` Chr`2` : `234,591,205`	0.000	0.999	0.001
rs3100776 lBF = `0.110081` Chr`2` : `219,921,200`	0.001	0.999	0.000
rs146109287 lBF = `0.0282924` Chr`2` : `68,237,913`	0.001	0.999	0.000
rs13010639 lBF = `-0.0619494` Chr`2` : `231,035,745`	0.000	0.999	0.001
rs13394619 lBF = `-0.118683` Chr`2` : `11,727,507`	0.000	0.999	0.001
rs1018326 lBF = `0.514011` Chr`2` : `182,007,800`	0.001	0.999	0.000
rs115242848 lBF = `0.0130979` Chr`2` : `119,507,607`	0.001	0.999	0.000
rs12692738 lBF = `3.59054` Chr`2` : `165,558,252`	0.001	0.999	0.000
rs1441147 lBF = `0.0513725` Chr`2` : `182,511,856`	0.001	0.999	0.000
rs56291226 lBF = `0.0474323` Chr`2` : `212,061,885`	0.001	0.999	0.000
rs17015535 lBF = `0.00053969` Chr`2` : `128,502,585`	0.001	0.999	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.001	0.999	0.000
rs6733839 lBF = `0.00593368` Chr`2` : `127,892,810`	0.000	0.999	0.001
rs1529102 lBF = `-0.0621347` Chr`2` : `64,495,627`	0.000	0.999	0.001
rs6719561 lBF = `15.3232` Chr`2` : `234,683,763`	0.001	0.999	0.000
rs243021 lBF = `0.0961672` Chr`2` : `60,584,819`	0.001	0.999	0.000
rs72948168 lBF = `6.34748` Chr`2` : `159,761,508`	0.001	0.999	0.000
rs1449984 lBF = `1.35649` Chr`2` : `23,414,651`	0.001	0.999	0.000
rs16831128 lBF = `0.00565976` Chr`2` : `133,144,392`	0.001	0.999	0.000
rs1530016 lBF = `-0.0602236` Chr`2` : `25,305,756`	0.000	0.999	0.001
rs78487399 lBF = `2.59975` Chr`2` : `43,809,347`	0.001	0.999	0.000
rs186885683 lBF = `0.00202844` Chr`2` : `209,198,627`	0.001	0.999	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9929

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9758

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9637

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9610

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9559

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9465

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9454

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9452

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9372

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9356

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9322

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9316

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9297

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9278

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9268

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9167

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9159

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9092

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9053

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9048

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9023

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8967

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8935

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8928

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8926

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8910

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8902

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8901

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8865

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8863

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8800

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8670

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8629

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8629

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8578

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8565

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8563

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8558

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8526

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8477

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8453

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8411

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8394

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8366

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8354

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8339

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8316

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8304

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8223

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8220

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8212

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8154

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8152

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8105

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8079

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8025

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8022

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7891

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7886

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7807

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7758

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7738

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7690

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7640

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7609

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7572

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7545

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7429

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7423

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7412

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7279

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7265

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7248

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7173

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7147

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7146

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7022

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6986

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6969

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6949

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6939

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6930

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6799

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6759

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6651

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6587

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6568

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6550

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6544

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6491

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6478

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6406

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6305

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6256

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6236

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6193

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6159

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6157

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6102

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6095

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6025

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6009

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5939

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5700

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5312

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5294

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5261

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5069

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4971

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4789

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4633

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4583

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4494

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4483

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4482

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4476

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4326

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4261

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4153

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3870

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3703

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3316

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3268

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2928

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2851

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2803

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2728

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2682

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2663

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2352

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1675

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1650

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1527

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1496

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1351

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1075

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1066

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1023

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0753

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0532

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`)