TreeWAS – [Z93.6] Other artificial openings of urinary 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`	0.811	0.189	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.779	0.221	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.758	0.242	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.726	0.274	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.714	0.286	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.699	0.301	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.680	0.320	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.667	0.333	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.666	0.334	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.646	0.354	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.628	0.372	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.625	0.374	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.621	0.379	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.620	0.379	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.620	0.380	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.609	0.390	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.605	0.395	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.597	0.402	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.591	0.409	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.563	0.437	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.559	0.441	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.551	0.449	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.542	0.458	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.532	0.468	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.531	0.468	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
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.483	0.516	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.481	0.519	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.479	0.521	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.463	0.537	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.457	0.542	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.448	0.552	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.444	0.556	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.438	0.562	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.430	0.570	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.429	0.571	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.427	0.573	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.419	0.580	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.409	0.590	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.405	0.595	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.400	0.600	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.396	0.604	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.389	0.611	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.388	0.612	0.001
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.378	0.622	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.375	0.625	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.368	0.632	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.358	0.642	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.351	0.648	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.351	0.649	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.347	0.653	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.346	0.654	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.326	0.674	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.313	0.687	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.310	0.690	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.286	0.713	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.280	0.720	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.279	0.720	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.277	0.723	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.272	0.727	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.272	0.727	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.266	0.734	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.254	0.745	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.239	0.761	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.230	0.769	0.001
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.229	0.771	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.228	0.772	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.208	0.791	0.001
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.194	0.805	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.190	0.809	0.001
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.189	0.811	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.183	0.817	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`	0.169	0.831	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.151	0.848	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.140	0.860	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.133	0.867	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.124	0.876	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.121	0.879	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`	0.116	0.884	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.108	0.892	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.095	0.905	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.087	0.912	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.088	0.912	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.080	0.920	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.070	0.930	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.045	0.955	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.036	0.964	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.036	0.964	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.035	0.965	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.034	0.966	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.034	0.966	0.000
rs10120372 lBF = `0.237676` Chr`9` : `108,440,542`	0.032	0.968	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.029	0.971	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.971	0.029
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.026	0.973	0.000
rs613391 lBF = `-0.0520333` Chr`9` : `22,670,715`	0.024	0.976	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.023	0.976	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.021	0.979	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.019	0.981	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.018	0.981	0.001
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.016	0.984	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.016	0.984	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.014	0.985	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.014	0.986	0.000
rs4741351 lBF = `0.0679959` Chr`9` : `14,222,782`	0.014	0.986	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.013	0.987	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.012	0.988	0.000
rs12339666 lBF = `17.2427` Chr`9` : `5,063,296`	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
rs10814916 lBF = `1.50567` Chr`9` : `4,293,150`	0.000	0.989	0.011
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.010	0.989	0.000
rs7020673 lBF = `0.904211` Chr`9` : `4,291,747`	0.000	0.989	0.011
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.010	0.990	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.010	0.990	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.009	0.991	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.009	0.991	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.992	0.000
rs6479352 lBF = `-0.0400116` Chr`9` : `94,281,710`	0.000	0.993	0.007
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
rs294856 lBF = `-0.0887236` Chr`9` : `10,192,290`	0.000	0.993	0.007
rs1626340 lBF = `-0.00537963` Chr`9` : `101,923,372`	0.000	0.993	0.007
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.006	0.994	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.006	0.994	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
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.004	0.995	0.001
rs7041847 lBF = `0.598182` Chr`9` : `4,287,466`	0.005	0.995	0.000
rs2381413 lBF = `12.4574` Chr`9` : `6,167,017`	0.000	0.995	0.005
rs638756 lBF = `14.2843` Chr`9` : `136,134,472`	0.000	0.995	0.005
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.005	0.995	0.000
rs7034200 lBF = `2.08621` Chr`9` : `4,289,050`	0.000	0.995	0.005
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.004	0.995	0.000
rs1412425 lBF = `25.8146` Chr`9` : `6,188,740`	0.000	0.995	0.005
rs8176740 lBF = `14.2006` Chr`9` : `136,131,472`	0.000	0.996	0.004
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.004	0.996	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.004	0.996	0.000
rs8176745 lBF = `13.8021` Chr`9` : `136,131,347`	0.000	0.996	0.004
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.004	0.996	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.004	0.996	0.000
rs688976 lBF = `14.1937` Chr`9` : `136,136,770`	0.000	0.996	0.004
Affx-33347130 lBF = `13.4651` Chr`9` : `136,135,238`	0.000	0.996	0.004
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.004	0.996	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.004	0.996	0.000
rs6478106 lBF = `-0.0559086` Chr`9` : `117,545,666`	0.004	0.996	0.000
rs7042864 lBF = `-0.0915002` Chr`9` : `110,872,307`	0.000	0.996	0.004
rs4149310 lBF = `-0.060739` Chr`9` : `107,589,134`	0.000	0.997	0.003
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.003	0.997	0.000
rs10974944 lBF = `17.0373` Chr`9` : `5,070,831`	0.003	0.997	0.000
rs8176742 lBF = `15.4244` Chr`9` : `136,131,437`	0.000	0.997	0.003
rs8176720 lBF = `0.244702` Chr`9` : `136,132,873`	0.000	0.997	0.003
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.003	0.997	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.003	0.997	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.003	0.997	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.003	0.997	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.003	0.997	0.000
rs4149311 lBF = `0.00594012` Chr`9` : `107,588,777`	0.000	0.997	0.003
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.002	0.997	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.002	0.998	0.000
rs9695226 lBF = `-0.00986366` Chr`9` : `22,759,396`	0.002	0.998	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.002	0.998	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs3124592 lBF = `0.57272` Chr`9` : `139,393,162`	0.000	0.998	0.002
rs10815144 lBF = `7.8976` Chr`9` : `5,010,192`	0.002	0.998	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.002	0.998	0.000
rs10757278 lBF = `355.344` Chr`9` : `22,124,477`	0.002	0.998	0.000
rs10980800 lBF = `-0.0244319` Chr`9` : `113,915,905`	0.002	0.998	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.002	0.998	0.000
rs581107 lBF = `48.1134` Chr`9` : `136,147,702`	0.000	0.998	0.002
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.002	0.998	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.000	0.998	0.002
rs10821136 lBF = `0.434416` Chr`9` : `96,238,731`	0.000	0.998	0.002
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs4878639 lBF = `-0.0902041` Chr`9` : `36,099,399`	0.000	0.998	0.002
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.002	0.998	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.000	0.998	0.002
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	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
rs7869969 lBF = `0.510803` Chr`9` : `96,217,447`	0.000	0.998	0.002
rs17637172 lBF = `0.0235876` Chr`9` : `122,223,958`	0.002	0.998	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	0.998	0.002
rs7866503 lBF = `386.896` Chr`9` : `22,091,924`	0.002	0.998	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.001	0.998	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.002	0.998	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.002	0.998	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.000	0.998	0.002
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
rs62529502 lBF = `0.0806811` Chr`9` : `9,142,493`	0.002	0.998	0.000
rs1679013 lBF = `8.6352` Chr`9` : `22,206,987`	0.000	0.998	0.002
rs10758593 lBF = `0.504041` Chr`9` : `4,292,083`	0.000	0.998	0.002
rs1332366 lBF = `0.068304` Chr`9` : `77,832,575`	0.002	0.998	0.000
rs1333049 lBF = `356.271` Chr`9` : `22,125,503`	0.002	0.998	0.000
rs4237150 lBF = `0.49969` Chr`9` : `4,290,085`	0.000	0.998	0.002
rs7028759 lBF = `7.73393` Chr`9` : `100,677,883`	0.000	0.998	0.002
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.000	0.998	0.002
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.001	0.998	0.000
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rs9969783 lBF = `-0.067863` Chr`9` : `4,888,441`	0.000	0.999	0.001
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.000	0.999	0.000
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.000	0.999	0.000
rs2779551 lBF = `0.00679964` Chr`9` : `101,253,226`	0.001	0.999	0.000
rs3739821 lBF = `-0.012789` Chr`9` : `130,702,477`	0.000	0.999	0.001
rs447578 lBF = `-0.023863` Chr`9` : `10,054,522`	0.001	0.999	0.000
rs334353 lBF = `-0.0332456` Chr`9` : `101,908,365`	0.000	0.999	0.001
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.001	0.999	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.000	0.999	0.000
rs7029536 lBF = `-0.0125577` Chr`9` : `130,110,411`	0.001	0.999	0.000
rs4576506 lBF = `-0.0228237` Chr`9` : `31,546,472`	0.000	0.999	0.001
rs7045881 lBF = `-0.026197` Chr`9` : `26,935,996`	0.001	0.999	0.000
rs1774093 lBF = `-0.0286742` Chr`9` : `104,647,156`	0.000	0.999	0.001
rs10813957 lBF = `-0.0868658` Chr`9` : `33,153,527`	0.000	0.999	0.001
rs2839874 lBF = `-0.0886796` Chr`9` : `116,890,163`	0.001	0.999	0.000
rs12342831 lBF = `-0.0888611` Chr`9` : `33,124,872`	0.000	0.999	0.001
rs7864648 lBF = `-0.0903524` Chr`9` : `16,368,732`	0.001	0.999	0.000
rs4074785 lBF = `6.03962` Chr`9` : `21,981,583`	0.001	0.999	0.000
rs7047415 lBF = `0.121204` Chr`9` : `98,541,232`	0.000	0.999	0.000
rs2251885 lBF = `0.072734` Chr`9` : `103,793,544`	0.000	0.999	0.001
rs12003072 lBF = `0.013909` Chr`9` : `86,771,161`	0.000	0.999	0.000
rs10758892 lBF = `-0.0103615` Chr`9` : `7,734,250`	0.000	0.999	0.000
rs2094962 lBF = `-0.0149877` Chr`9` : `137,816,459`	0.000	0.999	0.001
rs2007126 lBF = `-0.0611801` Chr`9` : `132,684,007`	0.001	0.999	0.000
rs12345013 lBF = `-0.0667299` Chr`9` : `79,761,711`	0.000	0.999	0.001
rs1340043 lBF = `-0.0733212` Chr`9` : `18,458,068`	0.001	0.999	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.000	0.999	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.000	0.999	0.000
rs60244812 lBF = `0.477535` Chr`9` : `7,267,614`	0.000	0.999	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	0.999	0.000
rs10961534 lBF = `0.0604802` Chr`9` : `14,470,833`	0.001	0.999	0.000
rs4979078 lBF = `-0.0336226` Chr`9` : `114,823,121`	0.000	0.999	0.001
rs7030480 lBF = `-0.0527074` Chr`9` : `71,655,595`	0.000	0.999	0.001
rs6475216 lBF = `-0.11927` Chr`9` : `18,444,138`	0.001	0.999	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.000	0.999	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.000	0.999	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.000	0.999	0.000
rs13300218 lBF = `1.03505` Chr`9` : `139,399,641`	0.000	0.999	0.000
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.000	0.999	0.000
rs16909898 lBF = `0.147538` Chr`9` : `98,231,008`	0.000	0.999	0.000
rs872256 lBF = `-0.0466685` Chr`9` : `2,496,480`	0.001	0.999	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.000	0.999	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.000	0.999	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.000	0.999	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.000	0.999	0.000
rs17459044 lBF = `0.10655` Chr`9` : `131,853,624`	0.001	0.999	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.999	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.000	0.999	0.000
rs148359873 lBF = `0.00976771` Chr`9` : `31,450,666`	0.000	0.999	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	0.999	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.000	1.000	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.000	1.000	0.000
rs914605 lBF = `14.0956` Chr`9` : `20,742,963`	0.000	1.000	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.000	1.000	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	1.000	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.000	1.000	0.000
rs7849581 lBF = `0.151245` Chr`9` : `9,924,724`	0.000	1.000	0.000
rs7020830 lBF = `0.0286682` Chr`9` : `37,085,184`	0.000	1.000	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.000	1.000	0.000
rs180850064 lBF = `-0.00339267` Chr`9` : `33,995,446`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs59677118 lBF = `-0.0120804` Chr`9` : `14,441,677`	0.000	1.000	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	1.000	0.000
rs6477694 lBF = `-0.0432326` Chr`9` : `111,932,342`	0.000	1.000	0.000
rs10117734 lBF = `-0.0734668` Chr`9` : `4,404,786`	0.000	1.000	0.000
rs10124907 lBF = `-0.0997393` Chr`9` : `25,659,637`	0.000	1.000	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.000	1.000	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.000	1.000	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.000	1.000	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.000	1.000	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.000	1.000	0.000
rs751543 lBF = `0.160043` Chr`9` : `119,122,342`	0.000	1.000	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.000	1.000	0.000
rs117347249 lBF = `0.0164813` Chr`9` : `81,368,654`	0.000	1.000	0.000
rs7853970 lBF = `-0.0287689` Chr`9` : `86,715,566`	0.000	1.000	0.000
rs523340 lBF = `-0.046508` Chr`9` : `111,854,246`	0.000	1.000	0.000
rs17425819 lBF = `15.7716` Chr`9` : `5,114,773`	0.000	1.000	0.000
rs10780944 lBF = `0.313911` Chr`9` : `73,157,416`	0.000	1.000	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.000	1.000	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.000	1.000	0.000
rs10961577 lBF = `0.0718727` Chr`9` : `14,562,314`	0.000	1.000	0.000
rs912062 lBF = `-0.0103765` Chr`9` : `841,152`	0.000	1.000	0.000
rs10760321 lBF = `-0.0707031` Chr`9` : `126,864,196`	0.000	1.000	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.000	1.000	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.000	1.000	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.000	1.000	0.000
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs9408926 lBF = `-0.0158922` Chr`9` : `123,914,874`	0.000	1.000	0.000
rs10989019 lBF = `-0.0612651` Chr`9` : `102,976,541`	0.000	1.000	0.000
rs62533402 lBF = `-0.0726802` Chr`9` : `306,734`	0.000	1.000	0.000
rs76962799 lBF = `11.1339` Chr`9` : `6,187,132`	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
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.000	1.000	0.000
rs28377268 lBF = `0.300067` Chr`9` : `98,225,056`	0.000	1.000	0.000
rs2472386 lBF = `0.104768` Chr`9` : `107,601,541`	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

0.8443

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3072

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9994

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9986

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9973

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9964

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9951

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9949

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9933

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9881

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9856

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9827

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9814

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9787

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9750

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9713

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9679

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9671

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9648

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9640

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9588

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9462

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9454

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9334

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9311

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9267

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9218

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9119

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9030

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8960

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8955

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8952

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8872

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8836

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8733

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8662

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8611

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8544

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8511

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8308

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8184

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8170

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8042

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7988

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7977

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7932

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7694

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7692

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7598

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7546

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7352

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7315

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7293

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7096

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7040

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6960

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6766

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6580

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6514

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6415

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6364

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6163

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6126

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5960

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5870

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5857

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5720

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5698

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5511

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5481

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5154

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5092

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5059

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4892

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4855

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4795

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4511

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4469

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4451

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4279

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4273

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4142

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3853

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3649

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3498

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3367

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3284

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3134

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3109

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3079

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3056

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3045

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2891

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2768

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2764

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2678

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2593

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2526

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2418

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2363

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1992

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1558

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1391

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1335

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1293

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1268

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1015

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0999

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0923

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0901

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0794

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0744

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0718

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0703

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0679

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0639

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0632

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0627

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0620

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0506

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`)