TreeWAS – [M54.36] Sciatica (Lumbar region)

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
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.953	0.047	0.000
rs78371551 lBF = `5.54553` Chr`2` : `12,631,328`	0.832	0.168	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.824	0.176	0.000
rs72819097 lBF = `6.00972` Chr`2` : `78,461,082`	0.812	0.188	0.000
rs72819068 lBF = `7.79831` Chr`2` : `78,414,284`	0.790	0.210	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.767	0.233	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.762	0.238	0.000
rs2037723 lBF = `1.89195` Chr`2` : `78,539,666`	0.744	0.256	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.742	0.258	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.718	0.282	0.000
rs148411008 lBF = `1.32232` Chr`2` : `171,654,272`	0.711	0.289	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.699	0.301	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.693	0.307	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.693	0.307	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.691	0.309	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.689	0.311	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.679	0.321	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.670	0.330	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.648	0.352	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.634	0.366	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.634	0.366	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.628	0.371	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.606	0.394	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.595	0.405	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.594	0.406	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.592	0.408	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.588	0.412	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.588	0.412	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.582	0.418	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.569	0.431	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.567	0.432	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.560	0.440	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.558	0.442	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.551	0.449	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.547	0.453	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.543	0.457	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.527	0.473	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.524	0.476	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.522	0.478	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.514	0.486	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.513	0.487	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.506	0.494	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.496	0.504	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.492	0.508	0.000
rs11678166 lBF = `11.2921` Chr`2` : `61,157,720`	0.492	0.508	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.490	0.510	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.489	0.511	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.488	0.512	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.475	0.525	0.000
rs10221903 lBF = `5.99013` Chr`2` : `69,679,500`	0.454	0.546	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.450	0.550	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.445	0.555	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.444	0.556	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.443	0.557	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.443	0.557	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.441	0.559	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.438	0.561	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.438	0.562	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.438	0.562	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.436	0.564	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.432	0.567	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.431	0.569	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.430	0.570	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.429	0.571	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.424	0.575	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.421	0.579	0.000
rs7559850 lBF = `6.25029` Chr`2` : `69,648,520`	0.420	0.580	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.419	0.581	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.418	0.582	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.418	0.582	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.417	0.582	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.413	0.586	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.404	0.595	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.403	0.597	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.397	0.603	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.389	0.611	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.385	0.615	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.384	0.616	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.380	0.620	0.000
rs148760487 lBF = `2.17191` Chr`2` : `163,778,613`	0.375	0.625	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.372	0.628	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.371	0.628	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.371	0.629	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.370	0.630	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.365	0.635	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.364	0.636	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.363	0.636	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.363	0.637	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.360	0.640	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.359	0.641	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.358	0.641	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.358	0.642	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.352	0.648	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.350	0.650	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.350	0.650	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.348	0.652	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.348	0.652	0.000
rs6546509 lBF = `8.67406` Chr`2` : `69,602,633`	0.345	0.655	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.344	0.656	0.000
rs6546511 lBF = `8.68057` Chr`2` : `69,615,295`	0.343	0.657	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.336	0.664	0.000
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.671	0.329
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.328	0.672	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.326	0.674	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.323	0.677	0.000
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.320	0.680	0.001
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.319	0.681	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.311	0.688	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.308	0.692	0.000
rs10203166 lBF = `2.87971` Chr`2` : `59,789,705`	0.308	0.692	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.308	0.692	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.307	0.692	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.296	0.704	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.294	0.706	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.289	0.711	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.286	0.713	0.001
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.286	0.714	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.282	0.718	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.281	0.719	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.281	0.719	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.279	0.721	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.276	0.724	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.274	0.726	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.271	0.729	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.270	0.730	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.267	0.733	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.266	0.734	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.266	0.734	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.265	0.734	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.265	0.735	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.263	0.737	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.259	0.740	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.259	0.741	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.256	0.744	0.000
rs1207421 lBF = `0.381408` Chr`2` : `206,150,594`	0.254	0.745	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.248	0.751	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.248	0.752	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.246	0.753	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.246	0.753	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.246	0.754	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.241	0.759	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.241	0.759	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.238	0.762	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.237	0.762	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.235	0.765	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.235	0.765	0.000
rs56988800 lBF = `1.77665` Chr`2` : `71,688,118`	0.230	0.770	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.224	0.776	0.001
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.223	0.777	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.222	0.778	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.221	0.779	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.221	0.779	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.219	0.781	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.217	0.783	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.216	0.784	0.001
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.216	0.784	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.216	0.784	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.215	0.785	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.215	0.785	0.000
rs17042688 lBF = `0.304378` Chr`2` : `52,511,794`	0.212	0.788	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.211	0.789	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.210	0.790	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.207	0.793	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.205	0.795	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.205	0.795	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.204	0.795	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.204	0.796	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.203	0.796	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.202	0.798	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.199	0.801	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.199	0.801	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.198	0.802	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.196	0.804	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.190	0.810	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.189	0.810	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.186	0.814	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.186	0.814	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.184	0.816	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.181	0.819	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.180	0.819	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.180	0.820	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.180	0.820	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.180	0.820	0.001
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.177	0.822	0.000
rs114709725 lBF = `15.4695` Chr`2` : `207,557,965`	0.177	0.823	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.173	0.826	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.170	0.830	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.168	0.831	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.166	0.833	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.166	0.834	0.001
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.163	0.837	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.162	0.838	0.000
rs11891674 lBF = `5.24113` Chr`2` : `40,281,964`	0.162	0.838	0.000
rs183373550 lBF = `1.19395` Chr`2` : `141,269,442`	0.000	0.838	0.162
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.161	0.839	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.159	0.841	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.158	0.842	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.157	0.843	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.156	0.844	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.154	0.845	0.001
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.153	0.847	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.152	0.848	0.001
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rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.007	0.992	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.008	0.992	0.000
rs16843372 lBF = `-0.0599898` Chr`2` : `159,670,449`	0.000	0.992	0.008
rs1526687 lBF = `0.555992` Chr`2` : `52,713,807`	0.008	0.992	0.000
rs11679753 lBF = `0.0149331` Chr`2` : `62,552,321`	0.007	0.993	0.000
rs13421246 lBF = `0.124774` Chr`2` : `115,587,622`	0.007	0.993	0.000
rs3100776 lBF = `0.110081` Chr`2` : `219,921,200`	0.007	0.993	0.000
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.007	0.993	0.000
rs3739070 lBF = `0.0200012` Chr`2` : `239,306,268`	0.007	0.993	0.000
rs76506302 lBF = `0.0136363` Chr`2` : `200,671,903`	0.007	0.993	0.000
rs10497985 lBF = `-0.0517304` Chr`2` : `213,609,252`	0.007	0.993	0.000
rs10195252 lBF = `7.74212` Chr`2` : `165,513,091`	0.000	0.993	0.007
rs7606224 lBF = `0.021974` Chr`2` : `190,643,649`	0.006	0.993	0.000
rs149960642 lBF = `0.0200289` Chr`2` : `14,203,645`	0.006	0.993	0.000
rs115242848 lBF = `0.0130979` Chr`2` : `119,507,607`	0.006	0.994	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.006	0.994	0.000
rs11888485 lBF = `0.0124095` Chr`2` : `118,687,232`	0.006	0.994	0.000
rs2314398 lBF = `0.0454735` Chr`2` : `97,413,488`	0.006	0.994	0.000
rs6717858 lBF = `7.25892` Chr`2` : `165,539,661`	0.000	0.994	0.006
rs13538 lBF = `1.58989` Chr`2` : `73,868,328`	0.006	0.994	0.000
rs1864803 lBF = `0.220632` Chr`2` : `222,035,912`	0.006	0.994	0.000
rs140133294 lBF = `-0.00353427` Chr`2` : `11,270,150`	0.006	0.994	0.000
rs4352251 lBF = `-0.0494415` Chr`2` : `101,983,662`	0.000	0.994	0.006
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.006	0.994	0.000
rs11563251 lBF = `3.46073` Chr`2` : `234,679,384`	0.000	0.994	0.006
rs13035397 lBF = `0.017107` Chr`2` : `52,713,609`	0.006	0.994	0.000
rs4972806 lBF = `-0.111613` Chr`2` : `177,012,578`	0.005	0.995	0.000
rs12989701 lBF = `0.247688` Chr`2` : `127,887,985`	0.000	0.995	0.005
rs1440072 lBF = `0.18265` Chr`2` : `223,936,738`	0.001	0.995	0.004
rs1918172 lBF = `-0.0217954` Chr`2` : `156,888,500`	0.005	0.995	0.000
rs2360969 lBF = `0.0102893` Chr`2` : `208,372,996`	0.000	0.995	0.005
rs190183456 lBF = `0.0122495` Chr`2` : `51,682,455`	0.005	0.995	0.000
rs4674086 lBF = `-0.100808` Chr`2` : `201,323,885`	0.005	0.995	0.000
rs13424957 lBF = `0.00932075` Chr`2` : `165,750,390`	0.005	0.995	0.000
rs734556 lBF = `-0.0918824` Chr`2` : `224,561,329`	0.000	0.995	0.005
rs75638626 lBF = `0.0109882` Chr`2` : `147,708,864`	0.004	0.995	0.000
rs7574865 lBF = `19.5987` Chr`2` : `191,964,633`	0.005	0.995	0.000
rs11892031 lBF = `0.107386` Chr`2` : `234,565,283`	0.000	0.995	0.005
rs4669418 lBF = `-0.0638503` Chr`2` : `9,823,870`	0.005	0.995	0.000
rs2952768 lBF = `0.0172138` Chr`2` : `208,494,234`	0.000	0.995	0.005
rs6725887 lBF = `23.302` Chr`2` : `203,745,885`	0.000	0.995	0.005
rs10189761 lBF = `8.27588` Chr`2` : `646,364`	0.004	0.996	0.001
rs10190052 lBF = `8.27588` Chr`2` : `646,674`	0.004	0.996	0.001
rs681900 lBF = `-0.0505966` Chr`2` : `75,074,967`	0.004	0.996	0.000
rs80196851 lBF = `0.069502` Chr`2` : `173,789,113`	0.004	0.996	0.000
rs3739034 lBF = `0.0253483` Chr`2` : `135,483,381`	0.000	0.996	0.004
rs761926 lBF = `-0.0374619` Chr`2` : `31,590,785`	0.000	0.996	0.004
rs13426621 lBF = `0.286649` Chr`2` : `42,109,471`	0.000	0.996	0.004
rs6430585 lBF = `0.0425765` Chr`2` : `136,506,927`	0.004	0.996	0.000
rs11126630 lBF = `-0.0881955` Chr`2` : `77,942,844`	0.004	0.996	0.000
rs2177596 lBF = `0.114255` Chr`2` : `227,890,283`	0.004	0.996	0.000
rs16858164 lBF = `0.032744` Chr`2` : `171,190,117`	0.000	0.996	0.004
rs6721654 lBF = `0.344838` Chr`2` : `121,301,911`	0.004	0.996	0.000
rs1546676 lBF = `-0.0921249` Chr`2` : `154,509,239`	0.000	0.996	0.004
rs6707600 lBF = `0.0675953` Chr`2` : `24,521,766`	0.003	0.996	0.000
rs1206397 lBF = `0.00380223` Chr`2` : `51,667,739`	0.003	0.996	0.000
rs10208407 lBF = `0.00654149` Chr`2` : `161,757,129`	0.003	0.996	0.000
rs11680328 lBF = `0.0142424` Chr`2` : `18,037,807`	0.000	0.996	0.004
rs6732426 lBF = `0.31151` Chr`2` : `43,587,504`	0.000	0.996	0.004
rs6722456 lBF = `0.0323619` Chr`2` : `134,529,091`	0.003	0.996	0.000
rs72938315 lBF = `15.0202` Chr`2` : `204,121,063`	0.000	0.996	0.003
rs4854349 lBF = `8.30456` Chr`2` : `647,861`	0.003	0.997	0.001
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.003	0.997	0.000
rs56291226 lBF = `0.0474323` Chr`2` : `212,061,885`	0.003	0.997	0.000
rs13008689 lBF = `-0.0498511` Chr`2` : `8,530,256`	0.003	0.997	0.000
rs6743931 lBF = `-0.0808193` Chr`2` : `240,418,660`	0.000	0.997	0.003
rs1813160 lBF = `6.11205` Chr`2` : `71,360,625`	0.000	0.997	0.003
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.002	0.997	0.001
rs142793646 lBF = `0.00090677` Chr`2` : `123,167,812`	0.003	0.997	0.000
rs10514805 lBF = `-0.0119753` Chr`2` : `47,679,978`	0.000	0.997	0.003
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.003	0.997	0.000
rs12620464 lBF = `-0.0577589` Chr`2` : `102,029,646`	0.003	0.997	0.000
rs10495783 lBF = `5.03744` Chr`2` : `33,401,632`	0.003	0.997	0.000
rs12692398 lBF = `0.509529` Chr`2` : `10,200,316`	0.003	0.997	0.000
rs295140 lBF = `3.70474` Chr`2` : `201,160,699`	0.000	0.997	0.003
rs4972489 lBF = `0.36921` Chr`2` : `176,734,598`	0.003	0.997	0.000
rs17236969 lBF = `0.0349292` Chr`2` : `156,752,459`	0.003	0.997	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.003	0.997	0.000
rs295137 lBF = `1.67387` Chr`2` : `201,150,040`	0.000	0.997	0.003
rs72932557 lBF = `24.5835` Chr`2` : `203,846,817`	0.000	0.997	0.003
rs76503615 lBF = `0.317971` Chr`2` : `62,679,509`	0.003	0.997	0.000
rs4849965 lBF = `0.108061` Chr`2` : `4,608,927`	0.003	0.997	0.000
rs16861531 lBF = `0.00135435` Chr`2` : `14,398,052`	0.002	0.997	0.000
rs7561528 lBF = `-0.0836778` Chr`2` : `127,889,637`	0.000	0.997	0.003
rs148581520 lBF = `-0.0025779` Chr`2` : `123,124,035`	0.003	0.997	0.000
rs4027132 lBF = `-0.0193905` Chr`2` : `12,037,492`	0.000	0.997	0.003
rs2351524 lBF = `23.7763` Chr`2` : `203,880,992`	0.000	0.997	0.003
rs187306222 lBF = `0.00289834` Chr`2` : `27,802,505`	0.002	0.997	0.000
rs183699028 lBF = `0.0221785` Chr`2` : `14,157,255`	0.002	0.997	0.000
rs11887188 lBF = `-0.00296981` Chr`2` : `235,302,810`	0.003	0.997	0.000
rs997277 lBF = `0.251184` Chr`2` : `189,750,863`	0.000	0.997	0.003
rs1012307 lBF = `0.00530942` Chr`2` : `150,655,221`	0.002	0.997	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.002	0.997	0.000
rs35212307 lBF = `21.9102` Chr`2` : `203,765,756`	0.000	0.997	0.003
rs807601 lBF = `0.0211615` Chr`2` : `15,793,014`	0.000	0.997	0.003
rs72798544 lBF = `0.0137279` Chr`2` : `42,599,605`	0.000	0.997	0.002
rs61571577 lBF = `0.00351247` Chr`2` : `47,236,436`	0.002	0.997	0.000
rs115400054 lBF = `21.4703` Chr`2` : `203,676,105`	0.000	0.998	0.002
rs12621150 lBF = `0.215956` Chr`2` : `78,028,838`	0.000	0.998	0.002
rs6729407 lBF = `5.07252` Chr`2` : `55,963,418`	0.002	0.998	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9834

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9696

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9139

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9133

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9096

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9012

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8991

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8677

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8662

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8589

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8580

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8530

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8525

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8286

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8112

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8060

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8008

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8007

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7969

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7821

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7807

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7607

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7605

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7583

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7458

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7418

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7393

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7386

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7249

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7234

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7083

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7048

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6931

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6929

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6903

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6868

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6801

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6722

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6593

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6381

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6287

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6241

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6203

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6154

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6091

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5980

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5971

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5895

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5889

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5846

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5801

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5690

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5584

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5415

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.5409

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5241

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4979

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4976

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4832

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4685

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4621

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4538

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4473

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4450

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4429

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4342

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4316

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4157

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4069

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4054

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3997

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3985

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3873

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3854

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3748

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3742

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.3584

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3482

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3400

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3338

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3335

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3320

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3132

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3108

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3039

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2961

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2941

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2849

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2842

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2833

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2825

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2785

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2478

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2445

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2339

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2241

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2214

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2199

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2188

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2146

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2141

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2081

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2076

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2058

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2051

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1837

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1734

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1713

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1679

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1651

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1604

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.1603

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1595

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1502

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1355

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1349

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1284

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1238

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1201

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1191

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1189

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1117

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1050

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0996

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0961

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0951

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0926

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0905

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0887

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0848

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0817

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0812

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0761

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0744

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0740

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0736

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0708

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0619

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0618

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0594

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0580

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0580

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0567

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0565

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0555

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0543

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0540

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0506

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0503

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`)