TreeWAS – [M25.5] Pain in joint

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
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.995	0.005	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.990	0.010	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.979	0.021	0.000
rs11678166 lBF = `11.2921` Chr`2` : `61,157,720`	0.972	0.028	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.963	0.037	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.962	0.038	0.000
rs11891674 lBF = `5.24113` Chr`2` : `40,281,964`	0.960	0.040	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.955	0.045	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.955	0.045	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.954	0.046	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.954	0.046	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.953	0.047	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.949	0.051	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.941	0.059	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.936	0.064	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.932	0.068	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.929	0.071	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.923	0.077	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.911	0.089	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.909	0.091	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.897	0.103	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.894	0.106	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.883	0.117	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.878	0.122	0.000
rs116260971 lBF = `14.538` Chr`2` : `66,345,333`	0.866	0.134	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.855	0.145	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.853	0.147	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.850	0.150	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.847	0.153	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.846	0.154	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.843	0.157	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.831	0.169	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.823	0.177	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.810	0.190	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.802	0.198	0.000
rs17346504 lBF = `2.48944` Chr`2` : `137,923,761`	0.802	0.198	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.791	0.209	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.785	0.215	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.778	0.222	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.775	0.225	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.770	0.230	0.000
rs2037723 lBF = `1.89195` Chr`2` : `78,539,666`	0.769	0.231	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.764	0.236	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.748	0.252	0.000
rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.744	0.256	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.736	0.264	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.734	0.266	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.733	0.267	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.733	0.267	0.000
rs17412531 lBF = `9.90515` Chr`2` : `192,154,412`	0.723	0.277	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.707	0.293	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.706	0.294	0.000
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.705	0.295	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.698	0.302	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.694	0.306	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.692	0.308	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.680	0.320	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.679	0.321	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.671	0.329	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.658	0.342	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.658	0.342	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.654	0.346	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.644	0.356	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.644	0.356	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.642	0.358	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.639	0.361	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.624	0.376	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.599	0.401	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.599	0.401	0.000
rs60129738 lBF = `6.96634` Chr`2` : `28,328,311`	0.597	0.403	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.592	0.408	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.591	0.409	0.000
rs145433814 lBF = `4.12345` Chr`2` : `60,126,311`	0.591	0.409	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.591	0.409	0.000
rs359965 lBF = `2.30351` Chr`2` : `219,840,891`	0.589	0.411	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.585	0.415	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.578	0.422	0.000
rs10203166 lBF = `2.87971` Chr`2` : `59,789,705`	0.568	0.432	0.000
rs6708110 lBF = `8.38552` Chr`2` : `4,054,805`	0.554	0.446	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.550	0.450	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.545	0.455	0.000
rs72819097 lBF = `6.00972` Chr`2` : `78,461,082`	0.542	0.458	0.000
rs16866933 lBF = `0.448102` Chr`2` : `180,566,678`	0.537	0.463	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.531	0.469	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.530	0.470	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.526	0.474	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.524	0.476	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.523	0.477	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.520	0.480	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.519	0.481	0.000
rs17042852 lBF = `0.316629` Chr`2` : `52,600,067`	0.511	0.489	0.000
rs11677466 lBF = `0.96201` Chr`2` : `232,982,257`	0.508	0.492	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.501	0.499	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.494	0.506	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.493	0.507	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.492	0.508	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.490	0.510	0.000
rs13408590 lBF = `8.08945` Chr`2` : `144,463,275`	0.488	0.512	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.487	0.513	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.486	0.514	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.483	0.517	0.000
rs74349453 lBF = `15.9746` Chr`2` : `43,057,069`	0.475	0.525	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.470	0.530	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.462	0.538	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.460	0.540	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.458	0.542	0.000
rs72819068 lBF = `7.79831` Chr`2` : `78,414,284`	0.450	0.550	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.449	0.551	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.448	0.552	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.447	0.553	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.439	0.561	0.000
rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.436	0.564	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.435	0.565	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.434	0.566	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.433	0.567	0.000
rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.428	0.572	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.424	0.576	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.419	0.581	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.418	0.582	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.410	0.590	0.000
rs11687468 lBF = `13.3728` Chr`2` : `41,847,294`	0.409	0.591	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.408	0.592	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.408	0.592	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.398	0.602	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.391	0.609	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.391	0.609	0.000
rs78846407 lBF = `16.3089` Chr`2` : `126,678,703`	0.389	0.611	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.385	0.615	0.000
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.380	0.620	0.000
rs35333999 lBF = `0.188793` Chr`2` : `239,161,957`	0.369	0.631	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.367	0.633	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.362	0.638	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.362	0.638	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.350	0.650	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.336	0.664	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.336	0.664	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.332	0.668	0.000
rs13388915 lBF = `7.77383` Chr`2` : `26,272,602`	0.329	0.671	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.322	0.678	0.000
rs60123959 lBF = `5.86843` Chr`2` : `237,477,938`	0.320	0.680	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.319	0.680	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.318	0.682	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.316	0.683	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.307	0.693	0.000
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.303	0.697	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.302	0.698	0.000
rs3769528 lBF = `1.86906` Chr`2` : `33,471,192`	0.301	0.698	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.296	0.704	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.295	0.705	0.000
rs191975838 lBF = `4.25389` Chr`2` : `52,121,667`	0.293	0.706	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.290	0.710	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.289	0.711	0.000
rs62170465 lBF = `15.2866` Chr`2` : `150,814,311`	0.285	0.715	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.282	0.718	0.000
rs140009341 lBF = `2.92393` Chr`2` : `137,190,884`	0.282	0.718	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.278	0.722	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.276	0.724	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.275	0.725	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.272	0.728	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.270	0.730	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.267	0.733	0.000
rs183369189 lBF = `1.70547` Chr`2` : `155,812,392`	0.265	0.735	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.264	0.736	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.259	0.741	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.258	0.741	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.258	0.742	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.254	0.746	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.254	0.746	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.252	0.748	0.000
rs56988800 lBF = `1.77665` Chr`2` : `71,688,118`	0.250	0.750	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.245	0.755	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.244	0.756	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.239	0.761	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.238	0.761	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.237	0.763	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.237	0.763	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.234	0.766	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.230	0.770	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.226	0.773	0.000
rs147056028 lBF = `2.35667` Chr`2` : `3,677,227`	0.219	0.781	0.000
rs191185851 lBF = `1.72756` Chr`2` : `15,876,417`	0.219	0.781	0.001
rs10185178 lBF = `4.19488` Chr`2` : `171,356,274`	0.000	0.783	0.217
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.214	0.786	0.001
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.209	0.791	0.000
rs12105421 lBF = `0.424189` Chr`2` : `103,576,088`	0.208	0.792	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.208	0.792	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.208	0.792	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.206	0.794	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.206	0.794	0.000
rs2708973 lBF = `3.29685` Chr`2` : `113,663,873`	0.205	0.794	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.205	0.795	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.203	0.796	0.001
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.197	0.803	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.197	0.803	0.000
rs186166314 lBF = `0.489607` Chr`2` : `48,663,037`	0.196	0.804	0.000
rs1669539 lBF = `0.594279` Chr`2` : `106,615,274`	0.194	0.806	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.192	0.808	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.188	0.812	0.000
rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.183	0.817	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.182	0.818	0.000
rs115361661 lBF = `16.3048` Chr`2` : `175,349,076`	0.182	0.818	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.179	0.821	0.000
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rs4852708 lBF = `-0.0664961` Chr`2` : `71,063,942`	0.000	0.997	0.003
rs140381154 lBF = `-0.00450661` Chr`2` : `123,088,281`	0.003	0.997	0.000
rs76854344 lBF = `0.0424469` Chr`2` : `124,753,156`	0.003	0.997	0.000
rs10198552 lBF = `0.173588` Chr`2` : `135,599,876`	0.002	0.997	0.001
rs114979721 lBF = `-0.00447738` Chr`2` : `123,173,834`	0.002	0.997	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.003	0.997	0.000
rs191356286 lBF = `0.0130101` Chr`2` : `82,325,816`	0.002	0.998	0.000
rs77130284 lBF = `6.54298` Chr`2` : `204,805,211`	0.002	0.998	0.000
rs3100776 lBF = `0.110081` Chr`2` : `219,921,200`	0.002	0.998	0.000
rs13018263 lBF = `9.07263` Chr`2` : `103,092,270`	0.000	0.998	0.002
rs183823891 lBF = `-0.054732` Chr`2` : `25,352,200`	0.000	0.998	0.002
rs10208516 lBF = `0.00146951` Chr`2` : `81,574,758`	0.002	0.998	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.002	0.998	0.000
rs17011478 lBF = `-0.00070117` Chr`2` : `75,792,143`	0.002	0.998	0.000
rs11680328 lBF = `0.0142424` Chr`2` : `18,037,807`	0.000	0.998	0.002
rs7581969 lBF = `-0.00210615` Chr`2` : `3,176,415`	0.002	0.998	0.000
rs2121279 lBF = `1.31284` Chr`2` : `143,043,285`	0.002	0.998	0.000
rs16828074 lBF = `0.00183681` Chr`2` : `232,318,754`	0.002	0.998	0.000
rs6733818 lBF = `0.0119901` Chr`2` : `180,146,275`	0.002	0.998	0.000
rs111571364 lBF = `1.65625` Chr`2` : `27,859,317`	0.002	0.998	0.000
rs17021683 lBF = `0.00168425` Chr`2` : `82,616,450`	0.002	0.998	0.000
rs13424398 lBF = `8.66358` Chr`2` : `43,494,221`	0.002	0.998	0.000
rs10202497 lBF = `0.0093293` Chr`2` : `238,270,894`	0.000	0.998	0.002
rs6543610 lBF = `0.00179305` Chr`2` : `31,376,654`	0.002	0.998	0.000
rs10048743 lBF = `0.0546599` Chr`2` : `213,890,232`	0.002	0.998	0.000
rs115522963 lBF = `0.0540404` Chr`2` : `69,033,583`	0.002	0.998	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.002	0.998	0.000
rs138158254 lBF = `-0.00469281` Chr`2` : `123,205,991`	0.002	0.998	0.000
rs34707540 lBF = `-0.0162156` Chr`2` : `144,641,789`	0.000	0.998	0.002
rs186826000 lBF = `0.0114289` Chr`2` : `153,943,226`	0.002	0.998	0.000
rs13408661 lBF = `21.2588` Chr`2` : `102,955,082`	0.000	0.998	0.002
rs7576072 lBF = `0.00315065` Chr`2` : `164,630,952`	0.001	0.998	0.000
rs7588591 lBF = `0.0853714` Chr`2` : `55,418,935`	0.002	0.998	0.000
rs181043431 lBF = `0.00107974` Chr`2` : `26,909,176`	0.002	0.998	0.000
rs4148323 lBF = `0.00143379` Chr`2` : `234,669,144`	0.001	0.998	0.000
rs17022444 lBF = `0.00117129` Chr`2` : `83,029,469`	0.001	0.998	0.000
rs16841200 lBF = `0.00127703` Chr`2` : `157,868,868`	0.001	0.998	0.000
rs6413458 lBF = `-0.0130854` Chr`2` : `21,231,592`	0.002	0.998	0.000
rs3755206 lBF = `0.00127549` Chr`2` : `36,683,428`	0.001	0.998	0.000
rs115455308 lBF = `0.00082877` Chr`2` : `71,042,418`	0.001	0.998	0.000
rs12476047 lBF = `-0.00176885` Chr`2` : `164,317,876`	0.002	0.998	0.000
rs67766926 lBF = `0.0122` Chr`2` : `61,163,581`	0.000	0.999	0.001
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.001	0.999	0.000
rs143020225 lBF = `0.00107086` Chr`2` : `167,214,714`	0.001	0.999	0.000
rs13395546 lBF = `0.00078103` Chr`2` : `131,545,192`	0.001	0.999	0.000
rs76355118 lBF = `0.0338203` Chr`2` : `149,412,005`	0.001	0.999	0.000
rs11889338 lBF = `0.0336869` Chr`2` : `17,427,585`	0.001	0.999	0.000
rs2268365 lBF = `-0.0250198` Chr`2` : `170,094,169`	0.001	0.999	0.000
rs6727879 lBF = `0.00077661` Chr`2` : `231,026,592`	0.001	0.999	0.000
rs3768792 lBF = `0.0524009` Chr`2` : `213,871,709`	0.001	0.999	0.000
rs2953145 lBF = `0.0476954` Chr`2` : `241,515,596`	0.000	0.999	0.001
rs4252023 lBF = `0.00078678` Chr`2` : `113,890,373`	0.001	0.999	0.000
rs6707600 lBF = `0.0675953` Chr`2` : `24,521,766`	0.001	0.999	0.000
rs182466621 lBF = `-0.0154953` Chr`2` : `101,347,301`	0.001	0.999	0.000
rs16855418 lBF = `0.212193` Chr`2` : `147,084,870`	0.001	0.999	0.000
rs186885683 lBF = `0.00202844` Chr`2` : `209,198,627`	0.001	0.999	0.000
rs17006206 lBF = `0.000623` Chr`2` : `27,907,473`	0.001	0.999	0.000
rs6721181 lBF = `0.00048355` Chr`2` : `40,115,696`	0.001	0.999	0.000
rs145284077 lBF = `0.00008388` Chr`2` : `71,052,999`	0.001	0.999	0.000
rs11681525 lBF = `-0.0102172` Chr`2` : `145,492,382`	0.001	0.999	0.000
rs16826005 lBF = `0.0141563` Chr`2` : `134,266,001`	0.001	0.999	0.000
rs17015535 lBF = `0.00053969` Chr`2` : `128,502,585`	0.001	0.999	0.000
rs116554435 lBF = `-0.00133609` Chr`2` : `381,284`	0.001	0.999	0.000
rs12619285 lBF = `-0.11255` Chr`2` : `213,824,045`	0.001	0.999	0.000
rs17024218 lBF = `0.00009949` Chr`2` : `39,939,536`	0.001	0.999	0.000
rs59904869 lBF = `-0.00025106` Chr`2` : `228,003,642`	0.001	0.999	0.000
rs12612930 lBF = `-0.00093397` Chr`2` : `71,525,785`	0.001	0.999	0.000
rs2193071 lBF = `0.00028006` Chr`2` : `8,036,260`	0.001	0.999	0.000
rs72823632 lBF = `23.0818` Chr`2` : `102,931,534`	0.000	0.999	0.001
rs1207421 lBF = `0.381408` Chr`2` : `206,150,594`	0.001	0.999	0.000
rs13407662 lBF = `0.0181538` Chr`2` : `53,782,559`	0.001	0.999	0.000
rs16856247 lBF = `0.0110545` Chr`2` : `169,784,413`	0.001	0.999	0.000
rs3771381 lBF = `0.00214349` Chr`2` : `71,560,665`	0.001	0.999	0.000
rs13419716 lBF = `0.00020624` Chr`2` : `128,351,504`	0.001	0.999	0.000
rs11890081 lBF = `-0.0014289` Chr`2` : `230,349,989`	0.001	0.999	0.000
rs10856789 lBF = `0.00034882` Chr`2` : `19,781,162`	0.000	0.999	0.001
Affx-20082067 lBF = `7.79777` Chr`2` : `43,519,977`	0.001	0.999	0.000
rs1160297 lBF = `0.245893` Chr`2` : `53,237,320`	0.001	0.999	0.000
rs60866311 lBF = `0.00221306` Chr`2` : `101,592,061`	0.001	0.999	0.000
rs73939615 lBF = `0.00011095` Chr`2` : `82,352,497`	0.001	0.999	0.000
rs183813555 lBF = `0.00005583` Chr`2` : `112,925,196`	0.001	0.999	0.000
rs34395537 lBF = `0.806055` Chr`2` : `184,492,741`	0.001	0.999	0.000
rs7589998 lBF = `0.00014922` Chr`2` : `60,924,020`	0.001	0.999	0.000
rs183770498 lBF = `0.00009601` Chr`2` : `205,900,875`	0.001	0.999	0.000
rs116765889 lBF = `0.00007102` Chr`2` : `72,213,557`	0.001	0.999	0.000
rs7576600 lBF = `-0.0133663` Chr`2` : `41,067,986`	0.000	0.999	0.001
rs11890236 lBF = `0.00609664` Chr`2` : `104,808,712`	0.001	0.999	0.000
rs11568377 lBF = `0.00014169` Chr`2` : `169,853,220`	0.000	0.999	0.001
rs202124287 lBF = `0.00005578` Chr`2` : `152,534,216`	0.001	0.999	0.000
rs7580640 lBF = `0.00005435` Chr`2` : `179,248,420`	0.001	0.999	0.000
rs186133190 lBF = `0.00004073` Chr`2` : `63,777,858`	0.001	0.999	0.000
rs72904859 lBF = `0.0000079` Chr`2` : `67,253,622`	0.001	0.999	0.000
rs6721345 lBF = `0.00000158` Chr`2` : `242,012,729`	0.001	0.999	0.000
rs190845920 lBF = `0` Chr`2` : `154,521,746`	0.001	0.999	0.001
rs187013403 lBF = `0` Chr`2` : `68,626,998`	0.001	0.999	0.001
rs187943782 lBF = `0` Chr`2` : `27,205,386`	0.001	0.999	0.001
rs189985091 lBF = `0` Chr`2` : `229,353,389`	0.001	0.999	0.001
rs189505973 lBF = `0` Chr`2` : `68,646,865`	0.001	0.999	0.001
rs7600502 lBF = `0` Chr`2` : `22,297,003`	0.001	0.999	0.001

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 X0122

log Bayes Factor = 219.114

contains 9 variants

1.0000

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

1.0000

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9999

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9998

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9996

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9995

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9993

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9992

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9990

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9986

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9985

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9983

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9980

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9968

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9958

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9954

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9949

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9933

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.9900

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9820

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9790

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9762

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9742

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9736

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9695

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9631

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9626

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9517

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9511

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9501

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9495

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9479

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9444

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9431

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9418

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9243

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9135

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9110

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9080

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9078

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8964

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8932

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8904

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8828

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8811

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8539

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8516

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8458

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8258

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7990

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7945

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7816

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7795

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7728

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7663

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7610

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7354

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7289

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7081

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6996

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6937

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6906

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6725

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6616

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6549

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6342

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6241

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6221

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6159

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5689

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5470

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5376

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5345

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5285

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5223

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5144

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5018

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4960

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4956

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4808

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4685

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4649

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4589

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4435

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4288

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4106

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.4018

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3585

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3568

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3388

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3372

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3229

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3205

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3000

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2980

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2773

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2701

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2666

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2625

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2617

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2578

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2577

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2565

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2547

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2544

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2352

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2344

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2337

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2322

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2194

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2132

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2059

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1804

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1719

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1629

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1578

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1437

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1419

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1062

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1052

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0978

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0976

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0935

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0918

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0866

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0846

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0732

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0716

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0683

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0631

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0606

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0594

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0585

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0546

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0535

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0526

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0507

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.

Parent term	M25 Other joint disorders, not elsewhere classified
Nested terms	M25.50 Pain in joint (Multiple sites) M25.51 Pain in joint (Shoulder region) M25.52 Pain in joint (Upper arm) M25.53 Pain in joint (Forearm) M25.54 Pain in joint (Hand) M25.55 Pain in joint (Pelvic region and thigh) M25.56 Pain in joint (Lower leg) M25.57 Pain in joint (Ankle and foot) M25.58 Pain in joint (Other) M25.59 Pain in joint (Site unspecified)

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`)