TreeWAS – [L29.0] Pruritus ani

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
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.792	0.208	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.626	0.374	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.619	0.381	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.617	0.383	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.614	0.386	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.607	0.393	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.589	0.411	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.571	0.429	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.562	0.438	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.526	0.474	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.510	0.490	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.508	0.491	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.497	0.502	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.496	0.504	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.489	0.511	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.481	0.519	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.479	0.521	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.474	0.526	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.469	0.531	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.454	0.546	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.450	0.550	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.445	0.555	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.445	0.555	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.444	0.556	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.441	0.559	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.438	0.562	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.433	0.567	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.424	0.576	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.421	0.579	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.412	0.588	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.410	0.589	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.401	0.599	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.399	0.601	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.399	0.601	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.392	0.608	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.389	0.611	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.384	0.616	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.370	0.630	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.369	0.630	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.363	0.637	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.360	0.640	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.357	0.643	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.355	0.644	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.354	0.646	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.350	0.649	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.343	0.657	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.341	0.659	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.341	0.659	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.333	0.666	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.333	0.666	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.332	0.668	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.325	0.675	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.323	0.677	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.320	0.680	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.314	0.686	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.312	0.687	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.312	0.688	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.311	0.689	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.309	0.690	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.303	0.696	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.296	0.704	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.295	0.705	0.000
rs383182 lBF = `4.20337` Chr`9` : `76,115,818`	0.286	0.714	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.280	0.720	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.276	0.724	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.275	0.725	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.274	0.726	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.270	0.730	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.265	0.735	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.265	0.735	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.261	0.739	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.261	0.739	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.261	0.739	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.260	0.739	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.260	0.740	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.257	0.743	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.251	0.749	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.249	0.751	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.244	0.755	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.243	0.757	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.238	0.762	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.237	0.763	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.234	0.765	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.234	0.766	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.229	0.771	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.227	0.773	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.222	0.777	0.001
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.221	0.779	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.217	0.782	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.206	0.794	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.205	0.795	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.205	0.795	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.203	0.796	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.201	0.799	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.199	0.801	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.198	0.802	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.195	0.805	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.193	0.807	0.001
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.191	0.809	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.182	0.818	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.180	0.820	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.180	0.820	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.174	0.826	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.173	0.827	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.172	0.827	0.001
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.167	0.833	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.166	0.833	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.166	0.834	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.165	0.835	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.160	0.840	0.001
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.159	0.841	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.156	0.844	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.156	0.844	0.001
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.155	0.844	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.155	0.845	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.154	0.846	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.154	0.846	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.152	0.848	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.151	0.848	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.149	0.851	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.148	0.852	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.145	0.854	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.146	0.854	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.143	0.856	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.140	0.860	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.138	0.861	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.134	0.865	0.001
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.134	0.866	0.001
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.133	0.866	0.001
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.133	0.867	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.131	0.868	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.128	0.871	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.127	0.873	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.126	0.874	0.001
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.125	0.874	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.123	0.877	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.119	0.881	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.117	0.883	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.113	0.887	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.112	0.888	0.001
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.108	0.891	0.001
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.108	0.891	0.001
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.109	0.891	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.097	0.902	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.095	0.905	0.000
rs1463984 lBF = `0.220472` Chr`9` : `108,427,062`	0.094	0.906	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.093	0.906	0.001
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.093	0.906	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.093	0.907	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.093	0.907	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.092	0.908	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.091	0.909	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.091	0.909	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.089	0.911	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.087	0.913	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.083	0.917	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.082	0.918	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.078	0.921	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.071	0.929	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.066	0.934	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.060	0.940	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.060	0.940	0.001
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.060	0.940	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.058	0.942	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.053	0.946	0.001
rs10511598 lBF = `5.70461` Chr`9` : `14,841,633`	0.053	0.947	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.051	0.948	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.047	0.952	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.047	0.953	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.047	0.953	0.001
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.046	0.954	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.041	0.959	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.041	0.959	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.039	0.961	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.036	0.964	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.031	0.969	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.030	0.970	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.029	0.970	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.028	0.972	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.025	0.974	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.025	0.975	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.023	0.976	0.001
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.023	0.976	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.023	0.977	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.021	0.978	0.001
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.021	0.978	0.001
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.021	0.979	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.018	0.982	0.001
rs2905072 lBF = `1.38245` Chr`9` : `135,845,035`	0.000	0.982	0.018
rs3810936 lBF = `0.923276` Chr`9` : `117,552,885`	0.000	0.982	0.018
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.016	0.984	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.016	0.984	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.015	0.985	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.013	0.986	0.001
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.013	0.987	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.013	0.987	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.012	0.988	0.001
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.012	0.988	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.010	0.990	0.000
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.010	0.990	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.007	0.991	0.002
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.008	0.991	0.000
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rs187930576 lBF = `0` Chr`9` : `25,426,265`	0.001	0.999	0.001
rs3780486 lBF = `0` Chr`9` : `33,139,453`	0.001	0.999	0.001
rs7035589 lBF = `0` Chr`9` : `107,752,358`	0.001	0.999	0.001
rs74912790 lBF = `0` Chr`9` : `21,354,066`	0.001	0.999	0.001
rs191531070 lBF = `0` Chr`9` : `25,419,354`	0.001	0.999	0.001
rs186991869 lBF = `0` Chr`9` : `10,098,043`	0.001	0.999	0.001
rs16912238 lBF = `0` Chr`9` : `125,573,030`	0.001	0.999	0.001
rs145068833 lBF = `0` Chr`9` : `9,450,039`	0.001	0.999	0.001
rs186915809 lBF = `0` Chr`9` : `112,467,998`	0.001	0.999	0.001
rs184680785 lBF = `0` Chr`9` : `25,410,144`	0.001	0.999	0.001
rs184991195 lBF = `0` Chr`9` : `76,177,179`	0.001	0.999	0.001
rs138411828 lBF = `0` Chr`9` : `105,886,380`	0.001	0.999	0.001
rs191623547 lBF = `0` Chr`9` : `25,360,084`	0.001	0.999	0.001
rs75078187 lBF = `0` Chr`9` : `26,064,685`	0.001	0.999	0.001
rs2502731 lBF = `0` Chr`9` : `130,976,557`	0.001	0.999	0.001
rs139048350 lBF = `0` Chr`9` : `30,926,853`	0.001	0.999	0.001
rs11103390 lBF = `0` Chr`9` : `139,120,828`	0.001	0.999	0.001
rs142015091 lBF = `0` Chr`9` : `10,530,738`	0.001	0.999	0.001
rs188120168 lBF = `0` Chr`9` : `25,442,018`	0.001	0.999	0.001
rs188470542 lBF = `0` Chr`9` : `82,404,106`	0.001	0.999	0.001
rs117660864 lBF = `0` Chr`9` : `25,337,611`	0.001	0.999	0.001
rs181672678 lBF = `0` Chr`9` : `25,425,073`	0.001	0.999	0.001
rs34971035 lBF = `0` Chr`9` : `139,265,596`	0.001	0.999	0.001
rs113752012 lBF = `0` Chr`9` : `107,740,827`	0.001	0.999	0.001
rs147345944 lBF = `0` Chr`9` : `9,479,463`	0.001	0.999	0.001
rs10122541 lBF = `0` Chr`9` : `100,628,268`	0.001	0.999	0.001
rs78589086 lBF = `-0.00000766` Chr`9` : `30,889,007`	0.001	0.999	0.000
rs77213524 lBF = `-0.00002607` Chr`9` : `30,975,832`	0.001	0.999	0.000
rs72724928 lBF = `-0.00324103` Chr`9` : `28,024,194`	0.000	0.999	0.001
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.001	0.999	0.000
rs7873730 lBF = `-0.0353081` Chr`9` : `114,303,679`	0.001	0.999	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.001	0.999	0.000
rs144773862 lBF = `-0.00000933` Chr`9` : `77,407,815`	0.001	0.999	0.000
rs183726757 lBF = `-0.00002268` Chr`9` : `3,795,100`	0.001	0.999	0.000
rs7042315 lBF = `-0.00003732` Chr`9` : `99,029,289`	0.001	0.999	0.000
rs3747851 lBF = `-0.00004023` Chr`9` : `124,521,260`	0.001	0.999	0.000
rs2245641 lBF = `-0.0206232` Chr`9` : `15,309,928`	0.001	0.999	0.000
rs1475545 lBF = `-0.0732173` Chr`9` : `100,316,230`	0.000	0.999	0.001
rs688976 lBF = `14.1937` Chr`9` : `136,136,770`	0.000	0.999	0.001
rs979203 lBF = `10.0324` Chr`9` : `13,730,665`	0.001	0.999	0.000
rs1334809 lBF = `0.0605282` Chr`9` : `27,126,415`	0.001	0.999	0.000
rs7036846 lBF = `0.00030802` Chr`9` : `119,798,885`	0.001	0.999	0.000
rs10125054 lBF = `-0.0344302` Chr`9` : `114,798,037`	0.001	0.999	0.000
rs7037324 lBF = `41.2459` Chr`9` : `100,658,318`	0.000	0.999	0.001
rs3829849 lBF = `3.6952` Chr`9` : `129,390,800`	0.000	0.999	0.001
rs12686004 lBF = `1.00166` Chr`9` : `107,653,426`	0.001	0.999	0.000
rs1108581 lBF = `0.37522` Chr`9` : `136,505,241`	0.001	0.999	0.000
rs11141597 lBF = `0.16767` Chr`9` : `89,527,458`	0.001	0.999	0.000
rs3758354 lBF = `0.035668` Chr`9` : `75,764,565`	0.000	0.999	0.001
rs7037266 lBF = `0.0637594` Chr`9` : `6,942,940`	0.000	0.999	0.001
rs13290799 lBF = `0.0222806` Chr`9` : `29,545,875`	0.001	0.999	0.000
rs10983238 lBF = `0.021247` Chr`9` : `119,333,683`	0.000	0.999	0.001
rs883924 lBF = `-0.0832457` Chr`9` : `93,181,531`	0.001	0.999	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.001	0.999	0.000
rs2378383 lBF = `0.163868` Chr`9` : `82,039,362`	0.001	0.999	0.000
rs10985375 lBF = `-0.00291493` Chr`9` : `124,549,642`	0.000	0.999	0.001
rs6479352 lBF = `-0.0400116` Chr`9` : `94,281,710`	0.000	0.999	0.001
rs10760442 lBF = `5.00715` Chr`9` : `129,383,900`	0.000	0.999	0.001
rs118106262 lBF = `0.0423095` Chr`9` : `8,658,954`	0.001	0.999	0.000
rs613391 lBF = `-0.0520333` Chr`9` : `22,670,715`	0.000	0.999	0.001
rs7866436 lBF = `39.1274` Chr`9` : `100,650,096`	0.001	0.999	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.001	0.999	0.000
rs3789867 lBF = `2.17607` Chr`9` : `117,875,688`	0.000	0.999	0.001
rs736893 lBF = `0.12449` Chr`9` : `4,217,028`	0.000	0.999	0.001
rs117770885 lBF = `0.00929734` Chr`9` : `10,114,755`	0.001	0.999	0.000
rs861189 lBF = `-0.0358512` Chr`9` : `22,185,252`	0.001	0.999	0.000
rs10967505 lBF = `-0.0461572` Chr`9` : `26,737,656`	0.000	0.999	0.001
rs1887867 lBF = `-0.059028` Chr`9` : `7,274,696`	0.000	0.999	0.001
rs7020651 lBF = `-0.060618` Chr`9` : `22,972,837`	0.000	0.999	0.001
rs4741652 lBF = `-0.0638895` Chr`9` : `2,194,227`	0.001	0.999	0.000
rs6586 lBF = `13.6487` Chr`9` : `100,666,931`	0.000	0.999	0.001
rs4077515 lBF = `0.327863` Chr`9` : `139,266,496`	0.000	0.999	0.001
rs1327796 lBF = `-0.0416522` Chr`9` : `112,526,289`	0.001	0.999	0.000
rs11244084 lBF = `22.0558` Chr`9` : `136,191,010`	0.001	0.999	0.000
rs8176745 lBF = `13.8021` Chr`9` : `136,131,347`	0.000	0.999	0.001
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	0.999	0.001
rs13295552 lBF = `0.233886` Chr`9` : `84,522,749`	0.001	0.999	0.000
rs12375901 lBF = `0.0451008` Chr`9` : `23,035,987`	0.001	0.999	0.000
rs12339094 lBF = `-0.0771213` Chr`9` : `90,410,222`	0.001	0.999	0.000
rs1944766 lBF = `-0.0850399` Chr`9` : `18,215,280`	0.001	0.999	0.000
rs12379034 lBF = `0.109707` Chr`9` : `123,162,666`	0.000	0.999	0.001
rs10969106 lBF = `0.00960723` Chr`9` : `29,364,327`	0.000	0.999	0.001
rs12378800 lBF = `7.72266` Chr`9` : `100,631,820`	0.001	0.999	0.000
rs3789868 lBF = `2.21391` Chr`9` : `117,875,681`	0.000	0.999	0.001
rs187116366 lBF = `-0.00124602` Chr`9` : `73,915,452`	0.000	0.999	0.000
rs3736986 lBF = `-0.0063385` Chr`9` : `36,194,569`	0.000	0.999	0.001
rs7853287 lBF = `-0.0569396` Chr`9` : `117,549,327`	0.000	0.999	0.001
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.001	0.999	0.000
rs7024300 lBF = `0.04881` Chr`9` : `107,589,567`	0.000	0.999	0.001
rs7867155 lBF = `-0.0449526` Chr`9` : `98,827,814`	0.000	0.999	0.000
rs364477 lBF = `-0.0522908` Chr`9` : `955,794`	0.001	0.999	0.000
rs4962153 lBF = `50.9657` Chr`9` : `136,323,754`	0.000	0.999	0.001
rs11145763 lBF = `0.611887` Chr`9` : `139,263,596`	0.000	0.999	0.001
rs10781500 lBF = `0.470452` Chr`9` : `139,269,338`	0.000	0.999	0.001
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.999	0.000
rs10969853 lBF = `-0.0427882` Chr`9` : `30,751,220`	0.000	0.999	0.001
rs1572299 lBF = `-0.0955674` Chr`9` : `121,346,417`	0.000	0.999	0.001
rs7869969 lBF = `0.510803` Chr`9` : `96,217,447`	0.000	0.999	0.001
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1954

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0925

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0748

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9749

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9734

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9659

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9601

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9478

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9395

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9391

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9283

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9267

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9026

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8991

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8893

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8884

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8799

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8746

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8529

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8522

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8516

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8503

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8448

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8313

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8297

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8101

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8098

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8002

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7946

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7830

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7825

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7769

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7755

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7613

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7524

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7336

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7225

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7160

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6900

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6851

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6800

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6747

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6721

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6503

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6480

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6261

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6260

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6255

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6228

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6227

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6206

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6182

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6147

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6023

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5921

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5653

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5638

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.5581

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5494

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5423

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5336

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5238

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5219

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5186

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5107

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5065

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4955

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4860

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4857

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4838

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4770

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4648

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4563

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4546

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4396

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4355

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4344

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4262

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4186

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3996

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3970

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3963

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3926

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3811

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3748

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3613

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3304

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3245

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3240

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3160

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2984

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2975

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2918

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2862

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2827

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2687

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2612

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2575

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2375

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2360

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2306

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2217

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2176

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2117

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2115

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2112

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2077

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2076

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2040

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2025

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1988

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1922

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1896

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1880

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1825

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1806

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1749

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1722

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1717

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1716

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1700

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1632

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1611

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1557

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1543

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1492

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1435

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1434

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1323

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1245

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1211

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1184

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1150

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1062

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1027

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0986

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0905

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0899

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0878

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0869

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0849

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0762

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0749

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0730

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0713

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0657

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0629

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0615

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0598

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0594

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0568

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0522

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0518

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`)