TreeWAS – [Z93.2] Ileostomy 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
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.926	0.074	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.864	0.136	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.817	0.183	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.790	0.210	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.780	0.220	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.775	0.225	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.767	0.233	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.756	0.244	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.755	0.245	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.740	0.260	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.726	0.274	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.720	0.280	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.717	0.283	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.715	0.285	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.708	0.292	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.654	0.346	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.650	0.350	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.641	0.359	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.630	0.370	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.606	0.394	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.602	0.398	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.601	0.399	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.584	0.416	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.554	0.446	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.511	0.489	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.505	0.495	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
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.496	0.504	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.487	0.512	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.480	0.520	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.466	0.534	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.460	0.540	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.447	0.553	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.446	0.554	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.434	0.566	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.427	0.573	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.426	0.574	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.417	0.583	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.413	0.587	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.410	0.590	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.402	0.598	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.399	0.601	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.384	0.616	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.384	0.616	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.354	0.646	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.341	0.659	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.339	0.661	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.337	0.663	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.331	0.669	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.323	0.677	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.313	0.687	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.299	0.701	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.297	0.703	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.273	0.727	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.272	0.727	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.263	0.737	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.258	0.742	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.257	0.743	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.252	0.748	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.236	0.764	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.230	0.770	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.223	0.776	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.220	0.780	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.216	0.783	0.001
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.205	0.795	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.205	0.795	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.202	0.798	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.201	0.798	0.002
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.202	0.798	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.194	0.805	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.186	0.814	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`	0.124	0.876	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`	0.120	0.880	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.119	0.881	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.117	0.883	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.105	0.895	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.100	0.900	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.097	0.903	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.091	0.909	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.090	0.910	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.087	0.912	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.075	0.924	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.068	0.932	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.064	0.935	0.001
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.064	0.936	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.040	0.959	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.033	0.967	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.031	0.969	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.028	0.972	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.026	0.974	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.024	0.976	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.022	0.978	0.000
rs10120372 lBF = `0.237676` Chr`9` : `108,440,542`	0.020	0.980	0.000
rs12339666 lBF = `17.2427` Chr`9` : `5,063,296`	0.020	0.980	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.019	0.981	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.019	0.981	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.018	0.982	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.015	0.984	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.015	0.985	0.000
rs10815144 lBF = `7.8976` Chr`9` : `5,010,192`	0.015	0.985	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.013	0.987	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.988	0.012
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.012	0.988	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.011	0.988	0.000
rs613391 lBF = `-0.0520333` Chr`9` : `22,670,715`	0.011	0.989	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.011	0.989	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.010	0.989	0.001
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.009	0.989	0.001
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.010	0.989	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.010	0.990	0.000
rs865686 lBF = `3.12841` Chr`9` : `110,888,478`	0.010	0.990	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.010	0.990	0.000
rs4741351 lBF = `0.0679959` Chr`9` : `14,222,782`	0.010	0.990	0.000
rs10974944 lBF = `17.0373` Chr`9` : `5,070,831`	0.009	0.991	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.008	0.991	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.008	0.991	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.008	0.992	0.000
rs10986018 lBF = `0.051836` Chr`9` : `101,123,336`	0.000	0.992	0.008
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.008	0.992	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.008	0.992	0.000
rs7020673 lBF = `0.904211` Chr`9` : `4,291,747`	0.000	0.992	0.008
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.006	0.993	0.001
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.007	0.993	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.007	0.993	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.007	0.993	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.007	0.993	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.006	0.993	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.006	0.994	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.006	0.994	0.000
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	0.994	0.006
rs10974900 lBF = `5.18231` Chr`9` : `4,987,958`	0.000	0.995	0.005
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.004	0.995	0.001
rs79156074 lBF = `0.076147` Chr`9` : `16,000,235`	0.005	0.995	0.000
rs4149311 lBF = `0.00594012` Chr`9` : `107,588,777`	0.000	0.995	0.005
rs17641078 lBF = `-0.0207988` Chr`9` : `1,056,959`	0.000	0.995	0.005
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.004	0.995	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.004	0.996	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.004	0.996	0.000
rs943306 lBF = `-0.0978266` Chr`9` : `119,624,675`	0.004	0.996	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.004	0.996	0.000
rs7041847 lBF = `0.598182` Chr`9` : `4,287,466`	0.004	0.996	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.003	0.997	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.003	0.997	0.000
rs4149310 lBF = `-0.060739` Chr`9` : `107,589,134`	0.000	0.997	0.003
rs1537415 lBF = `-0.0931479` Chr`9` : `138,529,722`	0.003	0.997	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.003	0.997	0.000
rs9785234 lBF = `-0.0285285` Chr`9` : `98,930,250`	0.000	0.997	0.003
rs2777802 lBF = `-0.0467355` Chr`9` : `107,569,337`	0.000	0.997	0.003
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.003	0.997	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.000	0.997	0.003
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.002	0.998	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.002	0.998	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs7034200 lBF = `2.08621` Chr`9` : `4,289,050`	0.000	0.998	0.002
rs7864648 lBF = `-0.0903524` Chr`9` : `16,368,732`	0.002	0.998	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.002	0.998	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.002	0.998	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.002	0.998	0.000
rs10118930 lBF = `12.6461` Chr`9` : `5,148,278`	0.002	0.998	0.000
rs7869487 lBF = `0.54459` Chr`9` : `117,580,914`	0.002	0.998	0.000
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.002	0.998	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.002	0.998	0.000
rs16931322 lBF = `6.6231` Chr`9` : `14,078,878`	0.000	0.998	0.002
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.002	0.998	0.000
rs7847294 lBF = `6.92844` Chr`9` : `5,097,281`	0.000	0.998	0.002
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.002	0.998	0.000
rs3824433 lBF = `15.607` Chr`9` : `5,113,577`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs10975479 lBF = `35.199` Chr`9` : `6,197,377`	0.002	0.998	0.000
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	0.998	0.002
rs7851437 lBF = `-0.00994799` Chr`9` : `28,395,332`	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
rs1679013 lBF = `8.6352` Chr`9` : `22,206,987`	0.000	0.998	0.002
rs1342326 lBF = `36.626` Chr`9` : `6,190,076`	0.002	0.998	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.002	0.998	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.002	0.998	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.002	0.998	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.001	0.998	0.001
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.001
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.000	0.998	0.002
rs17425819 lBF = `15.7716` Chr`9` : `5,114,773`	0.002	0.998	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.001	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs2487032 lBF = `4.05395` Chr`9` : `107,703,934`	0.001	0.999	0.000
rs10965235 lBF = `-0.00159282` Chr`9` : `22,115,105`	0.000	0.999	0.001
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.001	0.999	0.000
rs1468758 lBF = `0.0109589` Chr`9` : `113,807,082`	0.000	0.999	0.001
rs10993625 lBF = `0.0844397` Chr`9` : `93,442,205`	0.001	0.999	0.000
rs10815798 lBF = `-0.0859687` Chr`9` : `8,235,633`	0.001	0.999	0.000
rs3780381 lBF = `14.9163` Chr`9` : `5,114,523`	0.001	0.999	0.000
rs72699186 lBF = `36.0186` Chr`9` : `6,175,855`	0.001	0.999	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.000	0.999	0.001
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.000	0.999	0.001
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rs7870657 lBF = `-0.0272598` Chr`9` : `71,724,126`	0.000	1.000	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.000	1.000	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.000	1.000	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	1.000	0.000
rs2805062 lBF = `0.0124346` Chr`9` : `24,560,577`	0.000	1.000	0.000
rs10113903 lBF = `-0.094226` Chr`9` : `33,122,645`	0.000	1.000	0.000
rs41306063 lBF = `7.97243` Chr`9` : `6,415,643`	0.000	1.000	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.000	1.000	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.000	1.000	0.000
rs8176720 lBF = `0.244702` Chr`9` : `136,132,873`	0.000	1.000	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.000	1.000	0.000
rs36206051 lBF = `0.102509` Chr`9` : `90,207,626`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	1.000	0.000
rs10975167 lBF = `-0.0230498` Chr`9` : `5,538,407`	0.000	1.000	0.000
rs12351590 lBF = `-0.0497806` Chr`9` : `12,108,916`	0.000	1.000	0.000
rs1348386 lBF = `41.6856` Chr`9` : `100,612,807`	0.000	1.000	0.000
rs117134689 lBF = `7.85157` Chr`9` : `5,936,490`	0.000	1.000	0.000
rs16933812 lBF = `0.422339` Chr`9` : `36,969,205`	0.000	1.000	0.000
rs2236496 lBF = `0.33236` Chr`9` : `4,844,265`	0.000	1.000	0.000
rs6478106 lBF = `-0.0559086` Chr`9` : `117,545,666`	0.000	1.000	0.000
rs10746997 lBF = `-0.129066` Chr`9` : `78,841,401`	0.000	1.000	0.000
rs4246850 lBF = `12.9549` Chr`9` : `20,928,037`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs17584499 lBF = `0.0492266` Chr`9` : `8,879,118`	0.000	1.000	0.000
rs17774966 lBF = `0.0438255` Chr`9` : `25,551,357`	0.000	1.000	0.000
rs10512248 lBF = `0.035425` Chr`9` : `98,259,703`	0.000	1.000	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs10813951 lBF = `-0.0908161` Chr`9` : `33,128,021`	0.000	1.000	0.000
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.000	1.000	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.000	1.000	0.000
rs10967586 lBF = `0.0264506` Chr`9` : `26,895,808`	0.000	1.000	0.000
rs1535480 lBF = `-0.0655907` Chr`9` : `7,925,381`	0.000	1.000	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	1.000	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.000	1.000	0.000
rs1755289 lBF = `-0.0246071` Chr`9` : `17,938,351`	0.000	1.000	0.000
rs12554707 lBF = `-0.0688935` Chr`9` : `22,842,202`	0.000	1.000	0.000
rs12003180 lBF = `2.87978` Chr`9` : `15,283,097`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs10815094 lBF = `0.261887` Chr`9` : `4,845,520`	0.000	1.000	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs10993160 lBF = `-0.0135773` Chr`9` : `97,068,926`	0.000	1.000	0.000
rs1970584 lBF = `-0.0359397` Chr`9` : `126,110,306`	0.000	1.000	0.000
rs7025486 lBF = `-0.0535816` Chr`9` : `124,422,403`	0.000	1.000	0.000
rs951005 lBF = `-0.0778702` Chr`9` : `34,743,681`	0.000	1.000	0.000
rs4878712 lBF = `-0.102975` Chr`9` : `37,654,257`	0.000	1.000	0.000
rs8176746 lBF = `15.0421` Chr`9` : `136,131,322`	0.000	1.000	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.000	1.000	0.000
rs60244812 lBF = `0.477535` Chr`9` : `7,267,614`	0.000	1.000	0.000
rs4448343 lBF = `0.0341325` Chr`9` : `98,266,370`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs10512385 lBF = `-0.0338249` Chr`9` : `111,455,575`	0.000	1.000	0.000
rs10812227 lBF = `-0.0390951` Chr`9` : `2,548,556`	0.000	1.000	0.000
rs4879913 lBF = `-0.0571` Chr`9` : `35,610,912`	0.000	1.000	0.000
rs1577330 lBF = `-0.0848498` Chr`9` : `27,075,715`	0.000	1.000	0.000
rs10813957 lBF = `-0.0868658` Chr`9` : `33,153,527`	0.000	1.000	0.000
rs1333042 lBF = `395.398` Chr`9` : `22,103,813`	0.000	1.000	0.000
rs8176749 lBF = `14.8273` Chr`9` : `136,131,188`	0.000	1.000	0.000
rs8176693 lBF = `14.3653` Chr`9` : `136,137,657`	0.000	1.000	0.000
rs8176743 lBF = `14.2128` Chr`9` : `136,131,415`	0.000	1.000	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	1.000	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.000	1.000	0.000
rs7031417 lBF = `0.023482` Chr`9` : `90,826,253`	0.000	1.000	0.000
rs67383251 lBF = `-0.0510911` Chr`9` : `137,171,766`	0.000	1.000	0.000
rs10810935 lBF = `-0.0587035` Chr`9` : `18,251,855`	0.000	1.000	0.000
rs10733682 lBF = `-0.0752751` Chr`9` : `129,460,914`	0.000	1.000	0.000
rs12377462 lBF = `-0.0847644` Chr`9` : `32,914,589`	0.000	1.000	0.000
rs10123671 lBF = `-0.085821` Chr`9` : `29,161,218`	0.000	1.000	0.000
rs12342831 lBF = `-0.0888611` Chr`9` : `33,124,872`	0.000	1.000	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.000	1.000	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.000	1.000	0.000
rs8190560 lBF = `0.444887` Chr`9` : `99,002,185`	0.000	1.000	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs6475448 lBF = `0.0720917` Chr`9` : `20,497,142`	0.000	1.000	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	0.000	1.000	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	1.000	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	1.000	0.000
rs7873730 lBF = `-0.0353081` Chr`9` : `114,303,679`	0.000	1.000	0.000
rs7042370 lBF = `-0.0990923` Chr`9` : `12,785,073`	0.000	1.000	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.000	1.000	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.000	1.000	0.000
rs13300218 lBF = `1.03505` Chr`9` : `139,399,641`	0.000	1.000	0.000
rs6478109 lBF = `1.00194` Chr`9` : `117,568,766`	0.000	1.000	0.000
rs377310910 lBF = `0.0488873` Chr`9` : `1,940,937`	0.000	1.000	0.000
rs113290458 lBF = `0.0418686` Chr`9` : `128,456,000`	0.000	1.000	0.000
rs6560517 lBF = `-0.0550032` Chr`9` : `79,038,170`	0.000	1.000	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	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 X0023

log Bayes Factor = 129.003

contains 9 variants

0.9988

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4233

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1985

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9999

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9998

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9996

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9996

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9991

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9987

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9976

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9974

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9956

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9952

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9925

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9921

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9880

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9801

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9750

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9718

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9696

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9689

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9585

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9545

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9540

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9538

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9466

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9245

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9127

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9116

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9049

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9034

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8934

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8919

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8810

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8801

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8724

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.8187

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8093

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8081

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8019

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7862

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7727

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7712

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7506

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7483

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6926

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6892

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6689

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6606

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6587

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6448

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6425

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6416

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6263

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6160

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6127

Cluster X0022

log Bayes Factor = 66.3421

contains 6 variants

0.6110

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6036

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5656

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5354

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5236

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4584

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4334

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4079

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3923

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3569

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3402

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3305

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3158

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2812

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2752

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2665

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2423

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2416

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2389

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2348

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2325

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1673

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1587

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1480

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1373

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1286

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1215

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1116

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1049

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1042

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0986

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0922

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0813

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0759

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0752

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0701

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0692

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0649

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0624

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0586

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0586

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`)