TreeWAS – [M17.5] Other secondary gonarthrosis

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
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.823	0.177	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.675	0.325	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.657	0.343	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.635	0.365	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.634	0.366	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.632	0.368	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.617	0.382	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.614	0.386	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.605	0.395	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.586	0.413	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.582	0.418	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.581	0.419	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.555	0.445	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.545	0.455	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.485	0.515	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.467	0.533	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.466	0.534	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.449	0.551	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.444	0.555	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.397	0.602	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.370	0.630	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.353	0.647	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.343	0.657	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.333	0.667	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.330	0.670	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.321	0.679	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.314	0.686	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.312	0.688	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.298	0.702	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.290	0.709	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.279	0.721	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.273	0.727	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.271	0.729	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.269	0.731	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.267	0.732	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.260	0.740	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.251	0.748	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.229	0.770	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.227	0.773	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.226	0.774	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.225	0.775	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.217	0.783	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.200	0.800	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.165	0.835	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.159	0.841	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.150	0.850	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.147	0.853	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.146	0.854	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.145	0.855	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.143	0.857	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.125	0.875	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.125	0.875	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.125	0.875	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.124	0.876	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.122	0.878	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.119	0.881	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.114	0.886	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.112	0.888	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.111	0.889	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.102	0.898	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.100	0.900	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.097	0.903	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.097	0.903	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.094	0.906	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.090	0.910	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.085	0.915	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.084	0.915	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.079	0.921	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.074	0.926	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.072	0.928	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.071	0.929	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.071	0.929	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.070	0.930	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.064	0.935	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.059	0.941	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.058	0.942	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.058	0.942	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.057	0.943	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.056	0.943	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.053	0.947	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.050	0.950	0.000
rs8001611 lBF = `0.358842` Chr`13` : `42,965,694`	0.049	0.951	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	0.951	0.049
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.046	0.954	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.043	0.957	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.041	0.958	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.041	0.959	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.038	0.962	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.037	0.963	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.036	0.964	0.001
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.036	0.964	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.036	0.964	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.035	0.964	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.035	0.965	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.034	0.965	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.034	0.965	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.034	0.966	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.033	0.967	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.033	0.967	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.032	0.968	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.032	0.968	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.031	0.969	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.030	0.969	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.030	0.969	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.029	0.970	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.029	0.970	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.029	0.971	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.028	0.972	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.027	0.973	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.026	0.974	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.025	0.975	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.025	0.975	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.023	0.977	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.023	0.977	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.022	0.978	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.021	0.979	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.020	0.979	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.019	0.981	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.019	0.981	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.019	0.981	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.018	0.982	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.018	0.982	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.017	0.983	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.016	0.983	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.015	0.985	0.000
rs9594759 lBF = `1.98815` Chr`13` : `43,032,593`	0.000	0.985	0.015
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.015	0.985	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.015	0.985	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.014	0.985	0.001
rs9594738 lBF = `0.470652` Chr`13` : `42,952,145`	0.000	0.986	0.014
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.014	0.986	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.014	0.986	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.014	0.986	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.013	0.987	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.988	0.012
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.012	0.988	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.012	0.988	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.012	0.988	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.011	0.988	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.010	0.989	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.010	0.990	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.009	0.991	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.009	0.991	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.008	0.992	0.001
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.008	0.992	0.000
rs143258881 lBF = `-0.0119224` Chr`13` : `93,945,858`	0.000	0.992	0.008
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.008	0.992	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.008	0.992	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.008	0.992	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.007	0.993	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.007	0.993	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.006	0.993	0.001
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.006	0.994	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.006	0.994	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.006	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.006	0.994	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.006	0.994	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.994	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.005	0.994	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.005	0.995	0.001
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.005	0.995	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	0.995	0.005
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.005	0.995	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.004	0.995	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.996	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.003	0.997	0.000
rs9533090 lBF = `0.311508` Chr`13` : `42,951,449`	0.000	0.997	0.003
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.003	0.997	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.003	0.997	0.000
rs8002688 lBF = `0.00530965` Chr`13` : `73,559,982`	0.002	0.997	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.002	0.998	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.002	0.998	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.002	0.998	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.002	0.998	0.000
rs7989336 lBF = `0.0612583` Chr`13` : `97,017,548`	0.002	0.998	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.001	0.998	0.000
rs6563569 lBF = `-0.0634367` Chr`13` : `38,260,408`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.999	0.000
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.001	0.999	0.000
rs806321 lBF = `0.218217` Chr`13` : `50,841,323`	0.001	0.999	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs9543976 lBF = `-0.0429371` Chr`13` : `76,136,648`	0.000	0.999	0.001
rs191275341 lBF = `0.00047124` Chr`13` : `95,067,121`	0.001	0.999	0.000
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs3118914 lBF = `3.81812` Chr`13` : `51,116,901`	0.001	0.999	0.000
rs3116602 lBF = `3.86436` Chr`13` : `51,111,355`	0.001	0.999	0.000
rs146346907 lBF = `0.00013263` Chr`13` : `109,033,271`	0.001	0.999	0.000
rs148342344 lBF = `0.00005062` Chr`13` : `68,263,279`	0.001	0.999	0.000
rs11843309 lBF = `0.00003701` Chr`13` : `70,454,960`	0.001	0.999	0.000
rs641862 lBF = `0.00003313` Chr`13` : `110,790,232`	0.001	0.999	0.000
rs141008343 lBF = `0.00000448` Chr`13` : `68,309,045`	0.001	0.999	0.000
rs148788110 lBF = `0` Chr`13` : `68,366,201`	0.001	0.999	0.001
rs4907479 lBF = `0` Chr`13` : `113,659,108`	0.001	0.999	0.001
rs9555810 lBF = `0` Chr`13` : `112,181,437`	0.001	0.999	0.001
rs6041 lBF = `0` Chr`13` : `113,772,707`	0.001	0.999	0.001
rs141455065 lBF = `0` Chr`13` : `68,285,492`	0.001	0.999	0.001
rs138128600 lBF = `0` Chr`13` : `73,764,625`	0.001	0.999	0.001
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rs9510795 lBF = `-0.119953` Chr`13` : `24,216,012`	0.000	1.000	0.000
rs3933766 lBF = `120.737` Chr`13` : `20,110,195`	0.000	1.000	0.000
rs11616947 lBF = `8.69216` Chr`13` : `107,900,049`	0.000	1.000	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs9545047 lBF = `0.213006` Chr`13` : `79,859,456`	0.000	1.000	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.000	1.000	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs548097 lBF = `0.0503721` Chr`13` : `75,776,268`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	1.000	0.000
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs9548119 lBF = `0.00251943` Chr`13` : `38,531,581`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs975739 lBF = `-0.00282109` Chr`13` : `78,381,146`	0.000	1.000	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.000	1.000	0.000
rs9788333 lBF = `-0.0119888` Chr`13` : `21,876,096`	0.000	1.000	0.000
rs3765535 lBF = `-0.0181042` Chr`13` : `95,815,535`	0.000	1.000	0.000
rs9561428 lBF = `-0.0182564` Chr`13` : `94,341,096`	0.000	1.000	0.000
rs1239947 lBF = `-0.0197112` Chr`13` : `51,106,555`	0.000	1.000	0.000
rs8001641 lBF = `-0.0232007` Chr`13` : `80,692,811`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	1.000	0.000
rs17655948 lBF = `-0.0324613` Chr`13` : `106,067,920`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs9554197 lBF = `-0.0655451` Chr`13` : `28,476,978`	0.000	1.000	0.000
rs2149423 lBF = `-0.0696858` Chr`13` : `36,772,381`	0.000	1.000	0.000
rs1330950 lBF = `-0.0696998` Chr`13` : `107,338,801`	0.000	1.000	0.000
rs2204037 lBF = `-0.0756867` Chr`13` : `63,436,800`	0.000	1.000	0.000
rs912294 lBF = `-0.077738` Chr`13` : `31,698,294`	0.000	1.000	0.000
rs7989332 lBF = `-0.0789607` Chr`13` : `21,050,575`	0.000	1.000	0.000
rs11616416 lBF = `-0.0855914` Chr`13` : `29,836,251`	0.000	1.000	0.000
rs3125719 lBF = `-0.0868272` Chr`13` : `29,990,966`	0.000	1.000	0.000
rs9525638 lBF = `-0.0984176` Chr`13` : `43,128,577`	0.000	1.000	0.000
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.000	1.000	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.000	1.000	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	1.000	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	1.000	0.000
rs9510661 lBF = `0.353113` Chr`13` : `23,851,799`	0.000	1.000	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	1.000	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	1.000	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	1.000	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	1.000	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	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
rs4526895 lBF = `0.06979` Chr`13` : `39,350,890`	0.000	1.000	0.000
rs1928007 lBF = `0.0299463` Chr`13` : `70,810,223`	0.000	1.000	0.000
rs2391776 lBF = `0.0283931` Chr`13` : `110,243,425`	0.000	1.000	0.000
rs79709413 lBF = `0.0165564` Chr`13` : `25,314,626`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs10507349 lBF = `-0.00102807` Chr`13` : `26,781,528`	0.000	1.000	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	1.000	0.000
rs9508025 lBF = `-0.0065922` Chr`13` : `28,984,063`	0.000	1.000	0.000
rs2483374 lBF = `-0.00709926` Chr`13` : `25,533,831`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs9546312 lBF = `-0.0136508` Chr`13` : `83,746,951`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs12431307 lBF = `-0.0257713` Chr`13` : `80,644,618`	0.000	1.000	0.000
rs11617058 lBF = `-0.0292611` Chr`13` : `85,293,112`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	1.000	0.000
rs957788 lBF = `-0.0559028` Chr`13` : `108,257,220`	0.000	1.000	0.000
rs1326116 lBF = `-0.0573124` Chr`13` : `26,375,046`	0.000	1.000	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	1.000	0.000
rs9523848 lBF = `-0.0655501` Chr`13` : `93,581,791`	0.000	1.000	0.000
rs4771859 lBF = `-0.071821` Chr`13` : `93,088,651`	0.000	1.000	0.000
rs7327673 lBF = `-0.0810812` Chr`13` : `106,439,366`	0.000	1.000	0.000
rs609418 lBF = `-0.0817155` Chr`13` : `37,417,427`	0.000	1.000	0.000
rs7995215 lBF = `-0.0819467` Chr`13` : `94,408,506`	0.000	1.000	0.000
rs4318070 lBF = `-0.0888159` Chr`13` : `98,960,762`	0.000	1.000	0.000
rs9556893 lBF = `-0.107316` Chr`13` : `98,831,595`	0.000	1.000	0.000
rs679805 lBF = `6.99103` Chr`13` : `80,747,701`	0.000	1.000	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.000	1.000	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.000	1.000	0.000
rs2323266 lBF = `0.322191` Chr`13` : `61,965,303`	0.000	1.000	0.000
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.000	1.000	0.000
rs9581943 lBF = `0.236762` Chr`13` : `28,493,997`	0.000	1.000	0.000
rs9527419 lBF = `0.191673` Chr`13` : `56,159,009`	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

0.7058

Cluster X0331

log Bayes Factor = 5.0262

contains 1 variants

0.5650

Cluster X0175

log Bayes Factor = 45.9153

contains 4 variants

0.5074

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.9043

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8755

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8457

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8427

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8334

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8280

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.7824

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7755

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7724

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7480

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7165

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7106

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6665

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.6474

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6466

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6192

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5922

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5918

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.5674

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5589

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5395

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5259

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5073

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4977

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4949

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4743

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4461

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4381

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4300

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4053

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4020

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3914

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3837

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3743

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3732

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3577

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3363

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2959

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2912

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2804

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2733

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2686

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2503

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2468

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2405

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2298

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2110

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2090

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2084

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2079

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2033

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2030

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2024

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1999

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1997

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1925

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1857

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1856

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1801

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1795

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1790

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1775

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1722

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1636

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1636

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1619

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1607

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1571

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1541

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1526

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1488

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1450

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1406

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1380

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1362

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1322

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1227

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1218

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1192

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1149

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1126

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1125

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1111

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1089

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1085

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1071

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1068

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1041

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1032

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1020

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1007

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0992

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0862

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0837

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0832

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0816

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0810

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0796

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0757

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0665

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0654

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0638

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0613

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0600

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0586

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0563

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0555

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0539

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0537

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0533

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0515

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0502

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`)