TreeWAS – [Z93.4] Other artificial openings of gastro-intestinal tract status

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
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.818	0.182	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.722	0.278	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.716	0.284	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.698	0.302	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.681	0.319	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.678	0.321	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.675	0.325	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.667	0.333	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.663	0.337	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.661	0.339	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.661	0.339	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.644	0.356	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.641	0.359	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.629	0.371	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.628	0.371	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.626	0.374	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.624	0.376	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.607	0.393	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.604	0.396	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.585	0.415	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.582	0.418	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.577	0.423	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.563	0.437	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.561	0.439	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.554	0.446	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.551	0.449	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.551	0.449	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.548	0.451	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.544	0.455	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.516	0.484	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.508	0.492	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.504	0.496	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.503	0.497	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.489	0.511	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.474	0.526	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.469	0.531	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.465	0.535	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.459	0.541	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.452	0.548	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.444	0.556	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.441	0.559	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.435	0.565	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.435	0.565	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.433	0.567	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.431	0.569	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.428	0.572	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.418	0.582	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.415	0.585	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.399	0.601	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.389	0.611	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.381	0.619	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.378	0.622	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.368	0.631	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.365	0.634	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.352	0.648	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.352	0.648	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.350	0.650	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.346	0.653	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.333	0.667	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.322	0.677	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.313	0.687	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.307	0.693	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.293	0.706	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.286	0.714	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.277	0.723	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.270	0.730	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.267	0.733	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.251	0.749	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.250	0.750	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.236	0.764	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.223	0.777	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.194	0.805	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.188	0.812	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.181	0.819	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.179	0.821	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.173	0.827	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.144	0.856	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.127	0.873	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.125	0.875	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.120	0.880	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.114	0.885	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.106	0.894	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.105	0.895	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.095	0.905	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.091	0.909	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.088	0.912	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.080	0.919	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.066	0.933	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.047	0.953	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.042	0.958	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.041	0.959	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.041	0.959	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.036	0.964	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.035	0.964	0.000
rs10120372 lBF = `0.237676` Chr`9` : `108,440,542`	0.030	0.970	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.028	0.972	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.024	0.975	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.023	0.976	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.021	0.978	0.001
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.979	0.020
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.020	0.980	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.019	0.981	0.000
rs4741351 lBF = `0.0679959` Chr`9` : `14,222,782`	0.019	0.981	0.000
rs613391 lBF = `-0.0520333` Chr`9` : `22,670,715`	0.017	0.983	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.015	0.985	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.015	0.985	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.014	0.986	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.013	0.987	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.013	0.987	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.013	0.987	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.013	0.987	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.012	0.988	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.011	0.989	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.011	0.989	0.000
rs12339666 lBF = `17.2427` Chr`9` : `5,063,296`	0.011	0.989	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.011	0.989	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.010	0.990	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.009	0.991	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.993	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.007	0.993	0.000
rs10815144 lBF = `7.8976` Chr`9` : `5,010,192`	0.007	0.993	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.006	0.994	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.006	0.994	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.006	0.994	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.005	0.995	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.004	0.995	0.001
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.005	0.995	0.000
rs7020673 lBF = `0.904211` Chr`9` : `4,291,747`	0.000	0.995	0.005
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.005	0.995	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	0.995	0.005
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.004	0.995	0.000
rs8176745 lBF = `13.8021` Chr`9` : `136,131,347`	0.000	0.996	0.004
rs10974944 lBF = `17.0373` Chr`9` : `5,070,831`	0.004	0.996	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.004	0.996	0.000
rs8176740 lBF = `14.2006` Chr`9` : `136,131,472`	0.000	0.996	0.004
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.004	0.996	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.004	0.996	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.004	0.996	0.000
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.004	0.996	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.003	0.996	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.004	0.996	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.004	0.996	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.004	0.996	0.000
rs688976 lBF = `14.1937` Chr`9` : `136,136,770`	0.000	0.996	0.004
rs638756 lBF = `14.2843` Chr`9` : `136,134,472`	0.000	0.996	0.004
rs10738760 lBF = `-0.0942264` Chr`9` : `2,691,186`	0.003	0.997	0.000
Affx-33347130 lBF = `13.4651` Chr`9` : `136,135,238`	0.000	0.997	0.003
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.003	0.997	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.003	0.997	0.000
rs1333047 lBF = `375.052` Chr`9` : `22,124,504`	0.003	0.997	0.000
rs8176742 lBF = `15.4244` Chr`9` : `136,131,437`	0.000	0.997	0.003
rs10738607 lBF = `371.077` Chr`9` : `22,088,094`	0.003	0.997	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.003	0.997	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.003	0.997	0.000
rs10757274 lBF = `379.837` Chr`9` : `22,096,055`	0.003	0.997	0.000
rs2891168 lBF = `383.279` Chr`9` : `22,098,619`	0.003	0.997	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.003	0.997	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.002	0.997	0.001
rs512770 lBF = `8.25329` Chr`9` : `136,133,506`	0.000	0.997	0.003
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.002	0.997	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.002	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs7041847 lBF = `0.598182` Chr`9` : `4,287,466`	0.002	0.998	0.000
rs4149311 lBF = `0.00594012` Chr`9` : `107,588,777`	0.000	0.998	0.002
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.002	0.998	0.000
rs10992471 lBF = `-0.0304288` Chr`9` : `95,559,505`	0.002	0.998	0.000
rs294856 lBF = `-0.0887236` Chr`9` : `10,192,290`	0.000	0.998	0.002
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs4149310 lBF = `-0.060739` Chr`9` : `107,589,134`	0.000	0.998	0.002
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.002	0.998	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.000	0.998	0.002
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.002	0.998	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.002	0.998	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.002	0.998	0.000
rs79156074 lBF = `0.076147` Chr`9` : `16,000,235`	0.002	0.998	0.000
rs10986018 lBF = `0.051836` Chr`9` : `101,123,336`	0.000	0.998	0.002
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.002	0.998	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.998	0.002
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.002
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.002	0.998	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.001	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs1468758 lBF = `0.0109589` Chr`9` : `113,807,082`	0.000	0.998	0.002
rs7853844 lBF = `-0.0657441` Chr`9` : `118,050,414`	0.000	0.998	0.002
rs7853970 lBF = `-0.0287689` Chr`9` : `86,715,566`	0.000	0.998	0.002
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	0.998	0.002
rs9785234 lBF = `-0.0285285` Chr`9` : `98,930,250`	0.000	0.998	0.002
rs6479352 lBF = `-0.0400116` Chr`9` : `94,281,710`	0.000	0.998	0.002
rs7034200 lBF = `2.08621` Chr`9` : `4,289,050`	0.000	0.998	0.002
rs2375981 lBF = `-0.109816` Chr`9` : `2,692,583`	0.002	0.998	0.000
rs1679013 lBF = `8.6352` Chr`9` : `22,206,987`	0.000	0.998	0.001
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.001	0.998	0.000
rs755109 lBF = `-0.0827622` Chr`9` : `100,696,203`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs7029536 lBF = `-0.0125577` Chr`9` : `130,110,411`	0.001	0.999	0.000
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.001
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rs10969106 lBF = `0.00960723` Chr`9` : `29,364,327`	0.001	0.999	0.000
rs192256335 lBF = `-0.00420052` Chr`9` : `129,725,820`	0.000	0.999	0.000
rs12377462 lBF = `-0.0847644` Chr`9` : `32,914,589`	0.000	0.999	0.001
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.000	0.999	0.000
rs4366152 lBF = `1.24374` Chr`9` : `117,564,875`	0.001	0.999	0.000
rs4263839 lBF = `1.24218` Chr`9` : `117,566,440`	0.001	0.999	0.000
rs13300218 lBF = `1.03505` Chr`9` : `139,399,641`	0.000	0.999	0.001
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.000	0.999	0.000
rs7466269 lBF = `0.0293827` Chr`9` : `133,464,084`	0.000	0.999	0.001
rs7851693 lBF = `0.0180335` Chr`9` : `133,478,827`	0.000	0.999	0.001
rs12352894 lBF = `-0.0786911` Chr`9` : `38,197,384`	0.001	0.999	0.000
rs7043482 lBF = `-0.0991513` Chr`9` : `85,135,915`	0.001	0.999	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.001	0.999	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.001	0.999	0.000
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.000	0.999	0.000
rs72724928 lBF = `-0.00324103` Chr`9` : `28,024,194`	0.000	0.999	0.000
rs2777802 lBF = `-0.0467355` Chr`9` : `107,569,337`	0.001	0.999	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.001	0.999	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.000	0.999	0.000
rs3780381 lBF = `14.9163` Chr`9` : `5,114,523`	0.001	0.999	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.000	0.999	0.000
rs13288553 lBF = `0.122179` Chr`9` : `86,741,461`	0.000	0.999	0.001
rs1889321 lBF = `-0.0595344` Chr`9` : `113,300,835`	0.001	0.999	0.000
rs10813960 lBF = `-0.0788014` Chr`9` : `33,180,362`	0.000	0.999	0.001
rs1348386 lBF = `41.6856` Chr`9` : `100,612,807`	0.000	0.999	0.001
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.001	0.999	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.000	0.999	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	0.999	0.000
rs3810936 lBF = `0.923276` Chr`9` : `117,552,885`	0.001	0.999	0.000
rs2025875 lBF = `0.0783149` Chr`9` : `112,596,911`	0.001	0.999	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.000	0.999	0.000
rs7031417 lBF = `0.023482` Chr`9` : `90,826,253`	0.000	0.999	0.001
rs141215807 lBF = `0.0193868` Chr`9` : `19,213,634`	0.001	0.999	0.000
rs7045881 lBF = `-0.026197` Chr`9` : `26,935,996`	0.001	0.999	0.000
rs11790388 lBF = `-0.0353163` Chr`9` : `129,740,283`	0.000	0.999	0.000
rs7020651 lBF = `-0.060618` Chr`9` : `22,972,837`	0.000	0.999	0.000
rs7852296 lBF = `1.12641` Chr`9` : `126,352,218`	0.000	0.999	0.000
rs6475606 lBF = `331.139` Chr`9` : `22,081,850`	0.000	0.999	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.000	0.999	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.000	0.999	0.000
rs60244812 lBF = `0.477535` Chr`9` : `7,267,614`	0.000	0.999	0.000
rs10780944 lBF = `0.313911` Chr`9` : `73,157,416`	0.000	0.999	0.001
rs7047415 lBF = `0.121204` Chr`9` : `98,541,232`	0.000	0.999	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.000	0.999	0.000
rs12345013 lBF = `-0.0667299` Chr`9` : `79,761,711`	0.000	0.999	0.000
rs7044355 lBF = `-0.0885497` Chr`9` : `8,196,511`	0.000	0.999	0.001
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.000	0.999	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.000	0.999	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.000	0.999	0.000
rs1571228 lBF = `0.440091` Chr`9` : `18,930,222`	0.000	0.999	0.000
rs10435736 lBF = `0.156121` Chr`9` : `31,419,915`	0.000	0.999	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.999	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	0.999	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	0.999	0.000
rs12351590 lBF = `-0.0497806` Chr`9` : `12,108,916`	0.000	0.999	0.000
rs6479527 lBF = `-0.0506203` Chr`9` : `96,858,411`	0.000	0.999	0.000
rs4258076 lBF = `-0.079586` Chr`9` : `19,664,081`	0.000	0.999	0.000
rs10781182 lBF = `-0.0797706` Chr`9` : `76,617,720`	0.001	0.999	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.000	0.999	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.000	0.999	0.000
rs2381416 lBF = `42.5806` Chr`9` : `6,193,455`	0.000	0.999	0.000
rs2095044 lBF = `42.5068` Chr`9` : `6,192,796`	0.000	0.999	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	0.999	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.000	0.999	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.000	0.999	0.000
rs10969557 lBF = `2.49886` Chr`9` : `310,970`	0.000	0.999	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	0.999	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	0.999	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	0.999	0.000
rs17641078 lBF = `-0.0207988` Chr`9` : `1,056,959`	0.000	0.999	0.000
rs10512049 lBF = `-0.0571178` Chr`9` : `78,276,675`	0.000	0.999	0.000
rs3904778 lBF = `-0.0629115` Chr`9` : `16,681,993`	0.000	0.999	0.000
rs10867752 lBF = `-0.0928086` Chr`9` : `84,015,037`	0.000	0.999	0.000
rs2487032 lBF = `4.05395` Chr`9` : `107,703,934`	0.000	1.000	0.000
rs1337391 lBF = `1.3091` Chr`9` : `16,611,692`	0.000	1.000	0.000
rs6478109 lBF = `1.00194` Chr`9` : `117,568,766`	0.000	1.000	0.000
rs7848647 lBF = `0.737474` Chr`9` : `117,569,046`	0.000	1.000	0.000
rs10758593 lBF = `0.504041` Chr`9` : `4,292,083`	0.000	1.000	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs7875024 lBF = `0.0519451` Chr`9` : `16,288,424`	0.000	1.000	0.000
rs13301469 lBF = `0.0342446` Chr`9` : `3,911,353`	0.000	1.000	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.000	1.000	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	1.000	0.000
rs10990268 lBF = `-0.0285931` Chr`9` : `105,502,498`	0.000	1.000	0.000
rs6478106 lBF = `-0.0559086` Chr`9` : `117,545,666`	0.000	1.000	0.000
rs8177812 lBF = `-0.072232` Chr`9` : `116,151,527`	0.000	1.000	0.000
rs10124907 lBF = `-0.0997393` Chr`9` : `25,659,637`	0.000	1.000	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.000	1.000	0.000
rs3731257 lBF = `90.8856` Chr`9` : `21,966,221`	0.000	1.000	0.000
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.000	1.000	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.000	1.000	0.000
rs3118867 lBF = `0.578601` Chr`9` : `90,261,695`	0.000	1.000	0.000
rs10491833 lBF = `0.218014` Chr`9` : `24,720,232`	0.000	1.000	0.000
rs3758354 lBF = `0.035668` Chr`9` : `75,764,565`	0.000	1.000	0.000
rs3802344 lBF = `0.0328771` Chr`9` : `133,534,279`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6912

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2794

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9947

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9914

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9883

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9882

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9870

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9850

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9813

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9771

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9765

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9761

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9761

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9713

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9618

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9617

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9596

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9574

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9553

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9543

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9501

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9462

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9458

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9456

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9451

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9437

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9271

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9270

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9253

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9221

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9176

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9072

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9060

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8973

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8971

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8965

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8941

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8937

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8859

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8787

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8775

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8774

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8773

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8722

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8698

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8645

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8630

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8610

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8527

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8512

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8476

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8472

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8445

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8413

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8326

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8270

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8270

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8248

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8237

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8214

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8187

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8177

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8122

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8098

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8064

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8046

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8001

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7875

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7871

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7856

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7737

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7675

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7641

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7526

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7505

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7450

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7073

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7063

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6948

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6763

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6752

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6732

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6637

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6519

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6501

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6258

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6137

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6098

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6086

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5945

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5922

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5790

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5754

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5604

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5601

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5416

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5325

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5264

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5202

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5068

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4919

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4696

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4655

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4284

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3987

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3241

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3210

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3087

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3032

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2979

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2925

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2819

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2726

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2641

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2546

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1917

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1820

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1537

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1455

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1423

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1250

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1162

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1081

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1070

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1045

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0993

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0978

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0974

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0705

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0633

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0629

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0540

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`)