TreeWAS – [K90.8] Other intestinal malabsorption

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
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.627	0.373	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.614	0.386	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.607	0.393	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.579	0.421	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.571	0.429	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.506	0.494	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.502	0.498	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.499	0.501	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.479	0.521	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.476	0.524	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.473	0.527	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.472	0.528	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.464	0.536	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.454	0.546	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.454	0.546	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.451	0.549	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.451	0.549	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.444	0.556	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.424	0.575	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.423	0.577	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.422	0.578	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.414	0.586	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.411	0.588	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.400	0.600	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.398	0.602	0.000
rs114709725 lBF = `15.4695` Chr`2` : `207,557,965`	0.398	0.602	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.386	0.614	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.379	0.620	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.372	0.628	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.369	0.631	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.369	0.631	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.365	0.634	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.362	0.638	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.361	0.639	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.361	0.639	0.000
rs187076367 lBF = `2.26739` Chr`2` : `175,636,914`	0.356	0.644	0.001
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.355	0.645	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.352	0.648	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.351	0.648	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.350	0.650	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.347	0.652	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.346	0.653	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.346	0.653	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.345	0.655	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.345	0.655	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.342	0.658	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.341	0.658	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.336	0.664	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.331	0.669	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.328	0.672	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.326	0.673	0.001
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.323	0.677	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.319	0.680	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.319	0.680	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.319	0.680	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.317	0.683	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.683	0.316
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.316	0.684	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.307	0.693	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.297	0.703	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.296	0.703	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.296	0.704	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.296	0.704	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.295	0.705	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.286	0.713	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.286	0.714	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.283	0.717	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.274	0.726	0.000
rs75598744 lBF = `3.85923` Chr`2` : `82,016,463`	0.273	0.726	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.273	0.727	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.273	0.727	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.272	0.727	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.272	0.728	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.270	0.730	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.264	0.735	0.000
rs181660893 lBF = `3.37336` Chr`2` : `82,026,934`	0.264	0.736	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.259	0.741	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.256	0.744	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.255	0.745	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.249	0.751	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.249	0.751	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.249	0.751	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.246	0.754	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.245	0.754	0.001
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.244	0.756	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.239	0.761	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.239	0.761	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.232	0.768	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.229	0.771	0.000
rs13391419 lBF = `0.676772` Chr`2` : `222,921,916`	0.228	0.772	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.223	0.777	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.218	0.782	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.216	0.784	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.214	0.786	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.212	0.788	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.210	0.790	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.208	0.792	0.000
rs917997 lBF = `0.189567` Chr`2` : `103,070,568`	0.000	0.792	0.208
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.207	0.792	0.000
rs2075184 lBF = `0.188699` Chr`2` : `103,080,592`	0.000	0.793	0.207
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.206	0.793	0.000
rs2058660 lBF = `0.188915` Chr`2` : `103,054,449`	0.000	0.794	0.206
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.201	0.798	0.000
rs60123959 lBF = `5.86843` Chr`2` : `237,477,938`	0.199	0.801	0.001
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.199	0.801	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.199	0.801	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.197	0.802	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.191	0.809	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.187	0.813	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.187	0.813	0.000
rs6708413 lBF = `0.160493` Chr`2` : `103,063,369`	0.000	0.813	0.187
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.179	0.821	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.179	0.821	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.179	0.821	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.178	0.822	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.173	0.827	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.172	0.827	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.168	0.832	0.000
rs56988800 lBF = `1.77665` Chr`2` : `71,688,118`	0.168	0.832	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.166	0.834	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.164	0.836	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.162	0.837	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.161	0.838	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.160	0.840	0.000
rs1980422 lBF = `0.879965` Chr`2` : `204,610,396`	0.000	0.844	0.156
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.144	0.855	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.142	0.858	0.001
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.138	0.862	0.000
rs1018326 lBF = `0.514011` Chr`2` : `182,007,800`	0.136	0.863	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.133	0.866	0.001
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.134	0.866	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.132	0.868	0.000
rs183373550 lBF = `1.19395` Chr`2` : `141,269,442`	0.000	0.869	0.131
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.128	0.871	0.001
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.126	0.873	0.001
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.123	0.874	0.002
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.124	0.876	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.123	0.877	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.123	0.877	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.121	0.878	0.001
rs148411008 lBF = `1.32232` Chr`2` : `171,654,272`	0.121	0.879	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.121	0.879	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.120	0.880	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.120	0.880	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.118	0.882	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.117	0.883	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.115	0.885	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.114	0.885	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.109	0.891	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.107	0.892	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.106	0.894	0.000
rs13010713 lBF = `0.437925` Chr`2` : `181,996,045`	0.106	0.894	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.101	0.899	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.100	0.900	0.000
rs6419573 lBF = `0.074036` Chr`2` : `103,027,103`	0.000	0.901	0.099
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.096	0.903	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.095	0.904	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.093	0.907	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.093	0.907	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.091	0.909	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.090	0.910	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.089	0.911	0.000
rs79423523 lBF = `15.7536` Chr`2` : `58,673,886`	0.089	0.911	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.086	0.913	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.086	0.913	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.086	0.914	0.000
rs115249811 lBF = `0.120835` Chr`2` : `50,927,119`	0.085	0.915	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.082	0.918	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.082	0.918	0.000
rs181867028 lBF = `0.380125` Chr`2` : `2,545,734`	0.079	0.920	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.077	0.922	0.001
Affx-20090007 lBF = `271.258` Chr`2` : `44,066,247`	0.075	0.924	0.000
rs72875462 lBF = `236.37` Chr`2` : `44,079,310`	0.075	0.924	0.000
rs11887534 lBF = `270.519` Chr`2` : `44,066,247`	0.074	0.925	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.074	0.926	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.074	0.926	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.072	0.928	0.000
rs187293906 lBF = `0.0850575` Chr`2` : `70,665,662`	0.072	0.928	0.000
rs72836344 lBF = `6.53559` Chr`2` : `111,874,699`	0.072	0.928	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.069	0.930	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.067	0.933	0.000
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.064	0.935	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.064	0.936	0.000
rs76866386 lBF = `271.964` Chr`2` : `44,075,483`	0.064	0.936	0.000
Affx-20089987 lBF = `239.985` Chr`2` : `44,065,090`	0.063	0.936	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.062	0.938	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.061	0.938	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.061	0.939	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.060	0.939	0.000
rs41360247 lBF = `243.711` Chr`2` : `44,073,656`	0.060	0.940	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.059	0.940	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.057	0.943	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.057	0.943	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.055	0.945	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.053	0.947	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.050	0.948	0.001
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.050	0.949	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.048	0.952	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.046	0.953	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.045	0.955	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.044	0.955	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.043	0.957	0.000
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rs4148323 lBF = `0.00143379` Chr`2` : `234,669,144`	0.001	0.998	0.000
rs2544523 lBF = `0.245538` Chr`2` : `15,920,323`	0.001	0.998	0.000
rs13406665 lBF = `1.32138` Chr`2` : `30,498,653`	0.002	0.998	0.000
rs17022444 lBF = `0.00117129` Chr`2` : `83,029,469`	0.001	0.998	0.000
rs13429458 lBF = `1.13452` Chr`2` : `43,638,838`	0.000	0.998	0.001
rs17346504 lBF = `2.48944` Chr`2` : `137,923,761`	0.001	0.998	0.000
rs1079204 lBF = `-0.0130349` Chr`2` : `219,130,514`	0.001	0.998	0.000
rs16841200 lBF = `0.00127703` Chr`2` : `157,868,868`	0.001	0.998	0.000
rs80028351 lBF = `5.93565` Chr`2` : `56,161,869`	0.001	0.998	0.000
rs115455308 lBF = `0.00082877` Chr`2` : `71,042,418`	0.001	0.998	0.000
rs4374383 lBF = `-0.0197775` Chr`2` : `112,770,770`	0.000	0.998	0.001
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.001	0.998	0.000
rs6727879 lBF = `0.00077661` Chr`2` : `231,026,592`	0.001	0.998	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.001	0.999	0.001
rs116212486 lBF = `0.0134981` Chr`2` : `233,554,196`	0.000	0.999	0.001
rs144060362 lBF = `0.0060623` Chr`2` : `237,583,722`	0.001	0.999	0.000
rs2292873 lBF = `-0.0448516` Chr`2` : `238,499,444`	0.000	0.999	0.001
rs12105510 lBF = `-0.0750224` Chr`2` : `75,869,828`	0.000	0.999	0.001
rs74938797 lBF = `28.2429` Chr`2` : `56,189,500`	0.001	0.999	0.001
rs17540621 lBF = `0.00322136` Chr`2` : `47,229,839`	0.000	0.999	0.001
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.001	0.999	0.000
rs3771317 lBF = `0.195121` Chr`2` : `191,543,962`	0.001	0.999	0.000
rs7576072 lBF = `0.00315065` Chr`2` : `164,630,952`	0.001	0.999	0.001
rs13395546 lBF = `0.00078103` Chr`2` : `131,545,192`	0.001	0.999	0.000
rs2241880 lBF = `4.94494` Chr`2` : `234,183,368`	0.001	0.999	0.000
rs187402274 lBF = `0.00718828` Chr`2` : `220,912,178`	0.001	0.999	0.000
rs12994997 lBF = `5.10411` Chr`2` : `234,173,503`	0.001	0.999	0.000
rs13017599 lBF = `0.224041` Chr`2` : `61,164,331`	0.001	0.999	0.000
rs2304003 lBF = `-0.0757661` Chr`2` : `166,714,081`	0.000	0.999	0.001
rs76355118 lBF = `0.0338203` Chr`2` : `149,412,005`	0.001	0.999	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.001	0.999	0.000
rs17027258 lBF = `14.1746` Chr`2` : `103,091,540`	0.000	0.999	0.001
rs1058065 lBF = `0.301022` Chr`2` : `27,587,724`	0.000	0.999	0.001
rs4665809 lBF = `-0.032716` Chr`2` : `26,251,361`	0.000	0.999	0.001
rs10931468 lBF = `0.155646` Chr`2` : `191,538,562`	0.001	0.999	0.000
rs149960642 lBF = `0.0200289` Chr`2` : `14,203,645`	0.001	0.999	0.000
rs4665058 lBF = `-0.00549167` Chr`2` : `160,190,209`	0.000	0.999	0.001
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.001	0.999	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.001	0.999	0.001
rs13015955 lBF = `0.00961842` Chr`2` : `22,822,159`	0.001	0.999	0.000
rs4252023 lBF = `0.00078678` Chr`2` : `113,890,373`	0.001	0.999	0.000
rs78487399 lBF = `2.59975` Chr`2` : `43,809,347`	0.001	0.999	0.000
rs6435387 lBF = `-0.0298005` Chr`2` : `149,865,250`	0.001	0.999	0.001
rs72822868 lBF = `-0.0565477` Chr`2` : `78,613,674`	0.000	0.999	0.001
rs1344653 lBF = `0.0377736` Chr`2` : `19,730,845`	0.001	0.999	0.000
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
rs3100776 lBF = `0.110081` Chr`2` : `219,921,200`	0.001	0.999	0.000
rs17032597 lBF = `-0.0286315` Chr`2` : `67,055,115`	0.001	0.999	0.000
rs61463699 lBF = `-0.0514222` Chr`2` : `23,950,973`	0.001	0.999	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.001	0.999	0.000
rs17015535 lBF = `0.00053969` Chr`2` : `128,502,585`	0.001	0.999	0.000
rs3816183 lBF = `0.194128` Chr`2` : `43,015,719`	0.001	0.999	0.000
rs186552003 lBF = `0.0643485` Chr`2` : `47,670,254`	0.000	0.999	0.001
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.001	0.999	0.000
rs10497399 lBF = `0.200947` Chr`2` : `174,114,139`	0.000	0.999	0.001
rs186885683 lBF = `0.00202844` Chr`2` : `209,198,627`	0.001	0.999	0.000
rs9636231 lBF = `0.237474` Chr`2` : `139,671,955`	0.001	0.999	0.000
rs17024218 lBF = `0.00009949` Chr`2` : `39,939,536`	0.001	0.999	0.000
rs145284077 lBF = `0.00008388` Chr`2` : `71,052,999`	0.001	0.999	0.000
rs16858228 lBF = `-0.0105703` Chr`2` : `12,212,445`	0.000	0.999	0.001
rs1451488 lBF = `1.2151` Chr`2` : `199,990,107`	0.001	0.999	0.000
rs6750486 lBF = `0.237106` Chr`2` : `35,526,918`	0.001	0.999	0.000
rs359980 lBF = `0.156958` Chr`2` : `219,829,206`	0.001	0.999	0.000
rs10932534 lBF = `0.0667374` Chr`2` : `215,199,987`	0.001	0.999	0.000
rs58691539 lBF = `-0.020526` Chr`2` : `52,753,909`	0.001	0.999	0.000
rs6704641 lBF = `-0.0462355` Chr`2` : `200,164,252`	0.001	0.999	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.001	0.999	0.000
rs2193071 lBF = `0.00028006` Chr`2` : `8,036,260`	0.001	0.999	0.000
rs17011455 lBF = `-0.0171725` Chr`2` : `75,790,489`	0.001	0.999	0.000
rs10210302 lBF = `4.97618` Chr`2` : `234,158,839`	0.001	0.999	0.000
rs11563251 lBF = `3.46073` Chr`2` : `234,679,384`	0.000	0.999	0.001
rs17042852 lBF = `0.316629` Chr`2` : `52,600,067`	0.001	0.999	0.000
rs11680328 lBF = `0.0142424` Chr`2` : `18,037,807`	0.000	0.999	0.001
rs12465952 lBF = `6.43215` Chr`2` : `201,724,360`	0.001	0.999	0.000
rs17050244 lBF = `0.0936102` Chr`2` : `121,282,630`	0.000	0.999	0.001
rs13419716 lBF = `0.00020624` Chr`2` : `128,351,504`	0.001	0.999	0.000
rs73939615 lBF = `0.00011095` Chr`2` : `82,352,497`	0.001	0.999	0.000
rs4849303 lBF = `-0.0787026` Chr`2` : `111,728,482`	0.001	0.999	0.000
rs10189761 lBF = `8.27588` Chr`2` : `646,364`	0.001	0.999	0.000
rs10190052 lBF = `8.27588` Chr`2` : `646,674`	0.001	0.999	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.001	0.999	0.000
rs1400816 lBF = `0.0503748` Chr`2` : `172,680,678`	0.000	0.999	0.001
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.001	0.999	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.001	0.999	0.000
rs6738490 lBF = `5.00938` Chr`2` : `234,161,583`	0.001	0.999	0.000
rs6753739 lBF = `0.0587463` Chr`2` : `220,028,900`	0.000	0.999	0.001
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.001	0.999	0.000
rs79351035 lBF = `0.318924` Chr`2` : `224,062,445`	0.000	0.999	0.001
rs10856789 lBF = `0.00034882` Chr`2` : `19,781,162`	0.000	0.999	0.001
rs7589998 lBF = `0.00014922` Chr`2` : `60,924,020`	0.001	0.999	0.000
rs183770498 lBF = `0.00009601` Chr`2` : `205,900,875`	0.001	0.999	0.000
rs116765889 lBF = `0.00007102` Chr`2` : `72,213,557`	0.001	0.999	0.000
rs183813555 lBF = `0.00005583` Chr`2` : `112,925,196`	0.001	0.999	0.000
rs4352251 lBF = `-0.0494415` Chr`2` : `101,983,662`	0.001	0.999	0.000
rs3102947 lBF = `-0.0664345` Chr`2` : `8,434,185`	0.000	0.999	0.001
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.001	0.999	0.000
rs3792109 lBF = `4.51313` Chr`2` : `234,184,417`	0.001	0.999	0.000
rs815815 lBF = `0.0931222` Chr`2` : `47,399,064`	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)

Cluster X0281

log Bayes Factor = 108.466

contains 7 variants

0.3284

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1512

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.0518

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7959

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7832

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7364

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7128

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7061

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7032

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6896

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6884

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6804

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6729

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6642

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6550

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6478

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6453

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6429

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6364

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6199

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6188

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6178

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5930

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5874

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5858

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5849

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5839

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5824

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5758

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5664

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5613

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5598

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5541

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5486

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5480

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5449

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5425

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5387

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5135

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5122

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5091

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5085

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4999

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4993

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4912

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4904

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4859

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4794

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4709

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4618

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4614

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4554

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4441

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4329

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4234

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4141

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4050

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3957

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3927

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3926

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3918

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3895

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3860

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3725

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3691

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3662

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3545

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3523

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3515

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3504

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3480

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3396

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3367

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3317

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3272

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3211

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3154

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3139

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3119

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2897

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2834

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2750

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2734

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2730

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2638

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2613

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.2610

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2455

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2384

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2369

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2325

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2324

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2296

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2233

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2230

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2223

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2137

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2125

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2079

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2030

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2010

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2008

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1996

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1964

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1957

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1947

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1842

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1840

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1739

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1683

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1638

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1563

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1527

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1464

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1457

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1437

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1436

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1312

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1291

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1227

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1194

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1181

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1099

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1089

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1084

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1076

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1074

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1001

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0997

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0976

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0949

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0940

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0937

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0937

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0935

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0856

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0855

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0833

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0816

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0711

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0701

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0700

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0679

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0674

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0673

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0669

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0663

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0624

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0567

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0552

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0505

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`)