TreeWAS – [M25.58] Pain in joint (Other)

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
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.783	0.217	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.731	0.269	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.707	0.293	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.692	0.307	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.688	0.312	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.682	0.318	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.680	0.320	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.678	0.322	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.676	0.324	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.675	0.325	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.670	0.330	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.655	0.345	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.647	0.353	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.635	0.364	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.627	0.373	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.614	0.386	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.566	0.434	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.565	0.435	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.563	0.437	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.545	0.455	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.531	0.469	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.527	0.472	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.512	0.488	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.510	0.490	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.504	0.496	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.499	0.500	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.498	0.502	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.496	0.504	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.493	0.507	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.489	0.510	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.483	0.517	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.441	0.559	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.423	0.577	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.419	0.581	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.411	0.589	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.405	0.594	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.398	0.602	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.397	0.603	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.393	0.606	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.388	0.612	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.374	0.625	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.370	0.630	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.369	0.630	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.347	0.653	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.326	0.674	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.319	0.681	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.319	0.681	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.319	0.681	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.315	0.685	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.312	0.688	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.311	0.688	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.310	0.690	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.307	0.693	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.296	0.704	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.290	0.710	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.283	0.717	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.265	0.735	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.263	0.737	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.261	0.739	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.254	0.745	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.253	0.747	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.248	0.751	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.248	0.752	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.243	0.756	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.232	0.768	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.225	0.774	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.225	0.775	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.215	0.784	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.208	0.792	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.199	0.800	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.184	0.816	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.177	0.823	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.177	0.823	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.171	0.829	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.167	0.833	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.165	0.835	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.155	0.845	0.001
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.150	0.850	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.149	0.851	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.132	0.868	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.130	0.869	0.001
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.125	0.875	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.124	0.876	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.124	0.876	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.123	0.877	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.120	0.880	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.120	0.880	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.119	0.881	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.116	0.884	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.114	0.886	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.113	0.886	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.100	0.900	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.092	0.908	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.088	0.912	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.086	0.913	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.087	0.913	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.080	0.920	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.079	0.921	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.072	0.927	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.068	0.932	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.063	0.937	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.051	0.949	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.050	0.949	0.001
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.043	0.957	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.039	0.960	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.038	0.961	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.038	0.962	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.037	0.962	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.034	0.963	0.003
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.033	0.966	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.032	0.968	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.031	0.969	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.030	0.970	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.029	0.970	0.001
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.030	0.970	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.029	0.970	0.001
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.027	0.973	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.027	0.973	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.025	0.975	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.024	0.976	0.001
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.023	0.977	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.022	0.978	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.021	0.979	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.020	0.980	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.018	0.982	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.018	0.982	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.017	0.983	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.015	0.985	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.013	0.986	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.013	0.987	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.012	0.988	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.012	0.988	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.011	0.989	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.009	0.990	0.001
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.010	0.990	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.008	0.991	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.008	0.992	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.008	0.992	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.008	0.992	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.007	0.993	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.006	0.993	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.006	0.993	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.006	0.994	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	0.994	0.006
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.006	0.994	0.000
rs143258881 lBF = `-0.0119224` Chr`13` : `93,945,858`	0.000	0.994	0.005
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.005	0.994	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.995	0.005
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.005	0.995	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.005	0.995	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.004	0.995	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.005	0.995	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.004	0.996	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.004	0.996	0.000
rs56404467 lBF = `0.0153721` Chr`13` : `32,839,990`	0.000	0.996	0.004
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.004	0.996	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.003	0.996	0.002
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.996	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	0.996	0.004
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.004	0.996	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.004	0.996	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.003	0.996	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.003	0.997	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.003	0.997	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.003	0.997	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.003	0.997	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.002	0.997	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.002	0.997	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.997	0.002
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.002	0.998	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.002	0.998	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.002	0.998	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.002	0.998	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.002	0.998	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.001	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.002	0.998	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.002	0.998	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.001	0.998	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.000	0.998	0.001
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.001	0.999	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.999	0.000
rs75327846 lBF = `0.00440304` Chr`13` : `100,456,512`	0.000	0.999	0.001
rs571411 lBF = `0.0034058` Chr`13` : `34,903,092`	0.001	0.999	0.000
rs2027099 lBF = `0.0452098` Chr`13` : `67,043,092`	0.000	0.999	0.001
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.001	0.999	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.001	0.999	0.000
rs2687950 lBF = `0.261575` Chr`13` : `50,718,468`	0.001	0.999	0.000
rs563538 lBF = `-0.00887784` Chr`13` : `37,433,721`	0.001	0.999	0.001
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	0.000	0.999	0.001
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs9559377 lBF = `-0.0172298` Chr`13` : `109,264,870`	0.001	0.999	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.000	0.999	0.001
rs181987887 lBF = `-0.00474037` Chr`13` : `77,246,519`	0.001	0.999	0.000
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
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rs534870 lBF = `-0.0283121` Chr`13` : `80,959,207`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs2762051 lBF = `-0.0685734` Chr`13` : `50,835,715`	0.000	1.000	0.000
rs2051090 lBF = `-0.0900072` Chr`13` : `36,454,193`	0.000	1.000	0.000
rs9600128 lBF = `-0.0938231` Chr`13` : `74,090,415`	0.000	1.000	0.000
rs4770403 lBF = `-0.107346` Chr`13` : `23,755,127`	0.000	1.000	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	1.000	0.000
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	0.000	1.000	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.000	1.000	0.000
rs7327064 lBF = `0.110379` Chr`13` : `36,771,017`	0.000	1.000	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.000	1.000	0.000
rs1335882 lBF = `0.0445703` Chr`13` : `56,832,272`	0.000	1.000	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs9533962 lBF = `-0.0234044` Chr`13` : `45,334,194`	0.000	1.000	0.000
rs17369571 lBF = `-0.0334698` Chr`13` : `22,487,625`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs9652236 lBF = `-0.0460187` Chr`13` : `72,688,774`	0.000	1.000	0.000
rs10508196 lBF = `-0.0462467` Chr`13` : `108,479,966`	0.000	1.000	0.000
rs1575891 lBF = `-0.049822` Chr`13` : `48,198,716`	0.000	1.000	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	1.000	0.000
rs539514 lBF = `-0.0582911` Chr`13` : `76,326,282`	0.000	1.000	0.000
rs7322722 lBF = `-0.0599777` Chr`13` : `77,879,376`	0.000	1.000	0.000
rs17079928 lBF = `-0.071019` Chr`13` : `24,654,228`	0.000	1.000	0.000
rs2094900 lBF = `-0.07103` Chr`13` : `110,267,249`	0.000	1.000	0.000
rs9316500 lBF = `1.74026` Chr`13` : `51,094,114`	0.000	1.000	0.000
rs2293941 lBF = `0.55605` Chr`13` : `28,491,198`	0.000	1.000	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.000	1.000	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs9527419 lBF = `0.191673` Chr`13` : `56,159,009`	0.000	1.000	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs1324015 lBF = `0.00278836` Chr`13` : `43,727,849`	0.000	1.000	0.000
rs11840092 lBF = `-0.00062898` Chr`13` : `58,114,748`	0.000	1.000	0.000
rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs642899 lBF = `-0.0255755` Chr`13` : `33,680,854`	0.000	1.000	0.000
rs72636617 lBF = `-0.0351031` Chr`13` : `95,075,219`	0.000	1.000	0.000
rs4083578 lBF = `-0.0385411` Chr`13` : `72,768,709`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs4886088 lBF = `-0.0643618` Chr`13` : `59,128,526`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs583464 lBF = `-0.0788608` Chr`13` : `104,091,545`	0.000	1.000	0.000
rs609418 lBF = `-0.0817155` Chr`13` : `37,417,427`	0.000	1.000	0.000
rs7318731 lBF = `-0.0971247` Chr`13` : `22,709,670`	0.000	1.000	0.000
rs1441264 lBF = `-0.100188` Chr`13` : `79,580,919`	0.000	1.000	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.000	1.000	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	1.000	0.000
rs9805786 lBF = `0.372655` Chr`13` : `24,658,356`	0.000	1.000	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.000	1.000	0.000
rs9512755 lBF = `0.281975` Chr`13` : `28,158,229`	0.000	1.000	0.000
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.000	1.000	0.000
rs9556958 lBF = `0.0920075` Chr`13` : `99,100,046`	0.000	1.000	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs4773054 lBF = `-0.00277264` Chr`13` : `110,154,028`	0.000	1.000	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs4148441 lBF = `-0.00913378` Chr`13` : `95,898,207`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs584480 lBF = `-0.0158913` Chr`13` : `72,345,505`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs3736830 lBF = `-0.02483` Chr`13` : `50,306,221`	0.000	1.000	0.000
rs34073438 lBF = `-0.0251837` Chr`13` : `84,131,396`	0.000	1.000	0.000
rs728926 lBF = `-0.0254835` Chr`13` : `74,513,122`	0.000	1.000	0.000
rs9317284 lBF = `-0.0274082` Chr`13` : `63,634,350`	0.000	1.000	0.000
rs9594221 lBF = `-0.0274964` Chr`13` : `38,118,531`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	1.000	0.000
rs9547929 lBF = `-0.0303327` Chr`13` : `38,116,392`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs61959448 lBF = `-0.0341645` Chr`13` : `42,910,319`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs9573194 lBF = `-0.0377602` Chr`13` : `74,004,376`	0.000	1.000	0.000
rs9573330 lBF = `-0.0480678` Chr`13` : `74,518,210`	0.000	1.000	0.000
rs9573163 lBF = `-0.0487735` Chr`13` : `73,908,846`	0.000	1.000	0.000
rs1886512 lBF = `-0.0501158` Chr`13` : `74,520,186`	0.000	1.000	0.000
rs9561329 lBF = `-0.052235` Chr`13` : `94,011,169`	0.000	1.000	0.000
rs10162002 lBF = `-0.0573758` Chr`13` : `24,042,510`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs2315885 lBF = `-0.0642407` Chr`13` : `55,984,996`	0.000	1.000	0.000
rs1330950 lBF = `-0.0696998` Chr`13` : `107,338,801`	0.000	1.000	0.000
rs10492681 lBF = `-0.0716346` Chr`13` : `40,807,483`	0.000	1.000	0.000
rs11149058 lBF = `-0.0762203` Chr`13` : `77,552,271`	0.000	1.000	0.000
rs11616416 lBF = `-0.0855914` Chr`13` : `29,836,251`	0.000	1.000	0.000
rs4304924 lBF = `-0.0987476` Chr`13` : `79,238,925`	0.000	1.000	0.000
rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.000	1.000	0.000
rs11616380 lBF = `7.50102` Chr`13` : `80,705,315`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9741

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9050

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8884

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8799

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8560

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8536

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8246

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7901

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7798

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7442

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7421

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7224

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7185

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7167

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7166

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7164

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7163

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7162

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7159

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7158

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7157

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7154

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7146

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7139

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7136

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7133

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7121

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7118

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7054

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7040

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6999

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6980

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6950

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6914

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6904

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6819

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6811

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6807

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6766

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6761

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6752

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6531

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6508

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6427

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6403

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6383

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6344

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6317

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6122

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6045

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5921

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5734

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5696

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5541

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5494

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5456

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5450

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5436

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5299

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5077

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5016

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4983

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4974

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4952

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4822

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4743

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4689

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4547

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4475

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4416

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4114

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3922

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3873

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3855

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3834

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3833

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3790

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3768

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3688

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3639

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3598

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3553

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3545

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3517

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3448

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3334

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3214

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3028

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2617

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2559

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2531

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2419

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2329

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2316

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2201

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2173

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2152

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2005

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1989

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1938

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1883

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1849

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1840

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1827

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1825

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1697

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1687

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1682

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1676

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1574

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1530

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1507

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1437

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1359

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1298

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1194

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1084

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0911

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0839

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0808

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0805

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0763

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0701

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0674

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0659

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0640

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0608

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0515

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0511

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`)