TreeWAS – [M22.2] Patellofemoral disorders

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
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.751	0.249	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.705	0.295	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.699	0.301	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.693	0.307	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.686	0.314	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.671	0.329	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.670	0.330	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.655	0.345	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.644	0.356	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.641	0.359	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.617	0.383	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.612	0.388	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.602	0.398	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.601	0.399	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.594	0.405	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.591	0.409	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.574	0.426	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.562	0.437	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.561	0.438	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.559	0.441	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.552	0.448	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.544	0.456	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.543	0.457	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.515	0.485	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.515	0.485	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.508	0.491	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.505	0.495	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.504	0.496	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.502	0.498	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.493	0.507	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.488	0.512	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.484	0.516	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.482	0.518	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.480	0.520	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.477	0.523	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.476	0.524	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.474	0.526	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.474	0.526	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.473	0.527	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.473	0.527	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.468	0.532	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.467	0.533	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.466	0.534	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.465	0.535	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.464	0.536	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.462	0.538	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.459	0.540	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.449	0.551	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.436	0.564	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.430	0.570	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.430	0.570	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.429	0.571	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.425	0.574	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.421	0.579	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.419	0.581	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.418	0.582	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.416	0.584	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.407	0.592	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.407	0.592	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.396	0.604	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.392	0.608	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.392	0.608	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.368	0.632	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.361	0.639	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.354	0.645	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.353	0.647	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.352	0.648	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.349	0.651	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.347	0.653	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.345	0.655	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.339	0.660	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.338	0.662	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.337	0.662	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.335	0.664	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.335	0.665	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.335	0.665	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.330	0.670	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.314	0.686	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.299	0.701	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.292	0.707	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.280	0.719	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.278	0.722	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.270	0.729	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.268	0.731	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.258	0.742	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.258	0.742	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.256	0.744	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.255	0.745	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.253	0.747	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.251	0.749	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.247	0.753	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.220	0.780	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.218	0.781	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.213	0.787	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.203	0.796	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.201	0.798	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.196	0.803	0.001
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.196	0.804	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.196	0.804	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.189	0.811	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.186	0.813	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.185	0.815	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.179	0.821	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.176	0.824	0.001
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.175	0.824	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.173	0.826	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.158	0.841	0.001
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.146	0.853	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.144	0.856	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.139	0.861	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.135	0.865	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.130	0.870	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.125	0.875	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.124	0.875	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.116	0.884	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.108	0.891	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.105	0.895	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.103	0.897	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.098	0.902	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.093	0.907	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.090	0.910	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.087	0.912	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.079	0.920	0.001
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.078	0.922	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.066	0.934	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.063	0.937	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.063	0.937	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.061	0.939	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.044	0.942	0.015
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.056	0.944	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.054	0.946	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.053	0.947	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.052	0.948	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.046	0.952	0.002
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.046	0.954	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.046	0.954	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.044	0.956	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.039	0.961	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.039	0.961	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.038	0.962	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.030	0.969	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.030	0.970	0.001
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.028	0.972	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.022	0.977	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.020	0.979	0.001
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.020	0.980	0.001
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.019	0.981	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.017	0.982	0.000
rs7319358 lBF = `-0.0309316` Chr`13` : `79,550,934`	0.000	0.983	0.017
rs8001611 lBF = `0.358842` Chr`13` : `42,965,694`	0.014	0.986	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.013	0.986	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.012	0.988	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.012	0.988	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.010	0.990	0.001
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.009	0.990	0.001
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.990	0.009
rs143258881 lBF = `-0.0119224` Chr`13` : `93,945,858`	0.000	0.991	0.009
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.009	0.991	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.008	0.991	0.000
rs9507983 lBF = `0.0822587` Chr`13` : `28,620,036`	0.008	0.992	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.008	0.992	0.000
rs2036707 lBF = `-0.021407` Chr`13` : `108,484,454`	0.006	0.993	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.993	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.006	0.994	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.006	0.994	0.000
rs7989332 lBF = `-0.0789607` Chr`13` : `21,050,575`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs17085007 lBF = `1.29436` Chr`13` : `27,531,267`	0.005	0.995	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.995	0.000
rs9535020 lBF = `-0.0486569` Chr`13` : `48,923,808`	0.000	0.995	0.005
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.995	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.004	0.996	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	0.996	0.004
rs9592783 lBF = `-0.0963364` Chr`13` : `71,883,214`	0.004	0.996	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.003	0.996	0.001
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.004	0.996	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.004	0.996	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.003	0.996	0.001
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs563538 lBF = `-0.00887784` Chr`13` : `37,433,721`	0.003	0.997	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.003	0.997	0.000
rs11148252 lBF = `-0.0792541` Chr`13` : `53,009,048`	0.003	0.997	0.000
rs12868495 lBF = `0.0035367` Chr`13` : `34,641,562`	0.003	0.997	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.002	0.997	0.000
rs7322916 lBF = `-0.0656561` Chr`13` : `26,007,977`	0.000	0.997	0.003
rs561437 lBF = `-0.0559522` Chr`13` : `110,936,227`	0.000	0.998	0.002
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.002	0.998	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.002	0.998	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.002	0.998	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.002	0.998	0.000
rs688872 lBF = `-0.00713596` Chr`13` : `98,966,317`	0.000	0.998	0.002
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.002	0.998	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.002	0.998	0.000
rs1333026 lBF = `-0.0536107` Chr`13` : `66,120,784`	0.000	0.998	0.002
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.002	0.998	0.001
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.998	0.002
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	0.998	0.002
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rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	0.999	0.000
rs9572423 lBF = `-0.0204585` Chr`13` : `70,846,203`	0.000	0.999	0.000
rs2277425 lBF = `-0.0251482` Chr`13` : `111,522,258`	0.000	0.999	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	0.999	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	0.999	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	0.999	0.000
rs17070284 lBF = `0.0707246` Chr`13` : `79,359,424`	0.000	0.999	0.000
rs9596837 lBF = `0.0540929` Chr`13` : `54,258,063`	0.000	0.999	0.000
rs626277 lBF = `0.00642214` Chr`13` : `72,347,696`	0.000	0.999	0.000
rs716877 lBF = `-0.00736188` Chr`13` : `72,347,448`	0.000	0.999	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	0.999	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	0.999	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	0.999	0.000
rs1572072 lBF = `-0.0852048` Chr`13` : `24,127,210`	0.000	0.999	0.000
rs9521597 lBF = `-0.0939181` Chr`13` : `110,754,667`	0.000	0.999	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	1.000	0.000
rs3118905 lBF = `0.126346` Chr`13` : `51,105,334`	0.000	1.000	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs9596863 lBF = `-0.00138453` Chr`13` : `54,434,647`	0.000	1.000	0.000
rs1340317 lBF = `-0.0100071` Chr`13` : `64,930,995`	0.000	1.000	0.000
rs1161463 lBF = `-0.0261927` Chr`13` : `29,431,338`	0.000	1.000	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	1.000	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	1.000	0.000
rs4771122 lBF = `0.0536677` Chr`13` : `28,020,180`	0.000	1.000	0.000
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs9536318 lBF = `-0.0349281` Chr`13` : `53,494,694`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs3125719 lBF = `-0.0868272` Chr`13` : `29,990,966`	0.000	1.000	0.000
rs7325799 lBF = `0.132576` Chr`13` : `47,128,601`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	1.000	0.000
rs2220327 lBF = `0.0141401` Chr`13` : `64,946,698`	0.000	1.000	0.000
rs9598783 lBF = `0.0134805` Chr`13` : `64,945,174`	0.000	1.000	0.000
rs9571178 lBF = `0.0104591` Chr`13` : `64,936,243`	0.000	1.000	0.000
rs571411 lBF = `0.0034058` Chr`13` : `34,903,092`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs11148643 lBF = `-0.0161689` Chr`13` : `64,891,197`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs12865097 lBF = `-0.0320758` Chr`13` : `45,477,410`	0.000	1.000	0.000
rs9507041 lBF = `-0.0637433` Chr`13` : `23,744,379`	0.000	1.000	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	1.000	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	1.000	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	1.000	0.000
rs3765535 lBF = `-0.0181042` Chr`13` : `95,815,535`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs9561428 lBF = `-0.0182564` Chr`13` : `94,341,096`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs11617058 lBF = `-0.0292611` Chr`13` : `85,293,112`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs68151129 lBF = `0.438048` Chr`13` : `94,983,445`	0.000	1.000	0.000
rs4526895 lBF = `0.06979` Chr`13` : `39,350,890`	0.000	1.000	0.000
rs17371334 lBF = `0.0660533` Chr`13` : `85,032,327`	0.000	1.000	0.000
rs7989336 lBF = `0.0612583` Chr`13` : `97,017,548`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs373767 lBF = `0.0146481` Chr`13` : `23,294,033`	0.000	1.000	0.000
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.000	1.000	0.000
rs79490558 lBF = `-0.00311595` Chr`13` : `45,886,186`	0.000	1.000	0.000
rs4148441 lBF = `-0.00913378` Chr`13` : `95,898,207`	0.000	1.000	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.000	1.000	0.000
rs715921 lBF = `-0.0126854` Chr`13` : `24,795,489`	0.000	1.000	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs1329313 lBF = `-0.0403026` Chr`13` : `35,194,022`	0.000	1.000	0.000
rs10508196 lBF = `-0.0462467` Chr`13` : `108,479,966`	0.000	1.000	0.000
rs2478333 lBF = `-0.0533974` Chr`13` : `48,162,558`	0.000	1.000	0.000
rs11619878 lBF = `-0.0616792` Chr`13` : `66,212,020`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs9554752 lBF = `0.111562` Chr`13` : `101,726,313`	0.000	1.000	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.000	1.000	0.000
rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.000	1.000	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs9542236 lBF = `-0.106427` Chr`13` : `31,819,325`	0.000	1.000	0.000
rs9572182 lBF = `-0.121281` Chr`13` : `70,086,330`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs9314986 lBF = `2.19433` Chr`13` : `30,458,737`	0.000	1.000	0.000
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	1.000	0.000
rs6563199 lBF = `0.299279` Chr`13` : `81,550,449`	0.000	1.000	0.000
rs9546434 lBF = `0.116068` Chr`13` : `36,694,391`	0.000	1.000	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.000	1.000	0.000
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs2315885 lBF = `-0.0642407` Chr`13` : `55,984,996`	0.000	1.000	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.000	1.000	0.000
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8604

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9920

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9892

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9862

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9822

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9749

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9747

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9707

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9694

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9632

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9456

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9424

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9413

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9391

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9230

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9219

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9206

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9173

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9119

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9111

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9054

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9048

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8889

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8877

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8834

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8771

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8771

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8664

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8662

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8574

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8561

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8559

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8494

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8480

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8437

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8261

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8233

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8189

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8153

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8144

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8119

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8058

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8016

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7917

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7881

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7875

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7787

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7708

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7629

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7495

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7442

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7396

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7392

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7308

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7292

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7273

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7233

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7168

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7008

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6981

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6707

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6668

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6667

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6569

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6565

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6529

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6525

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6511

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6483

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6473

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.6464

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6416

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6394

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6295

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6285

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6233

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6226

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6174

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6066

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6003

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5995

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5947

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5941

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5931

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5846

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5751

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5741

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5673

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5615

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5552

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5508

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5465

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5455

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5421

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5378

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5347

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5225

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5197

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5170

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5164

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5158

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5142

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5107

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5068

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5057

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4973

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4958

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4952

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4950

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4915

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4913

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4832

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4726

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4565

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4526

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4472

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4448

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4394

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4389

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4206

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4179

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4157

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4157

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4150

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4074

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4037

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4022

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3948

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3861

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3820

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3753

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3682

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3401

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3309

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3243

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3156

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2945

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2926

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2778

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2697

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2465

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2449

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2438

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2409

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2390

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2351

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2127

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2102

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2083

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.2058

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2037

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1856

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.1824

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1775

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1570

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1556

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1453

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1437

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1417

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1390

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1288

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1271

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1230

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1230

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1222

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1206

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1137

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1106

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1070

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0999

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0980

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0928

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0798

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0708

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0696

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0635

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0611

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0557

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0546

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0531

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0528

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0505

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`)