TreeWAS – [R64] Cachexia

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
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.748	0.252	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.717	0.283	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.716	0.284	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.710	0.289	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.710	0.290	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.709	0.290	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.705	0.295	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.703	0.296	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.694	0.306	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.690	0.310	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.679	0.321	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.673	0.327	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.330	0.669
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.654	0.346	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.652	0.348	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.648	0.352	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.646	0.354	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.643	0.357	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.643	0.357	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.636	0.364	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.622	0.378	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.544	0.456	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.541	0.458	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.540	0.460	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.529	0.471	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.517	0.483	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.516	0.484	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.476	0.524	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.455	0.544	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.454	0.546	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.366	0.634	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.350	0.650	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.330	0.670	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.314	0.685	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.304	0.696	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.301	0.698	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.300	0.700	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.280	0.719	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.273	0.727	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.254	0.746	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.246	0.754	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.246	0.754	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.238	0.762	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.202	0.798	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.198	0.802	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.197	0.803	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.187	0.813	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.183	0.817	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.180	0.819	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.174	0.826	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.174	0.826	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.167	0.833	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	0.840	0.160
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.149	0.850	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.148	0.852	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.127	0.873	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.123	0.876	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.123	0.877	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.119	0.881	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.106	0.894	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.105	0.895	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.092	0.907	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.085	0.915	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.074	0.926	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.061	0.939	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.053	0.947	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.048	0.952	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.045	0.955	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.040	0.960	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.031	0.969	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.031	0.969	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.028	0.972	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.027	0.973	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.022	0.977	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.021	0.979	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.019	0.981	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.019	0.981	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.018	0.982	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.017	0.982	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.016	0.984	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.013	0.987	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.012	0.987	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.012	0.988	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.012	0.988	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.012	0.988	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.011	0.989	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.011	0.989	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.010	0.990	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.010	0.990	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.009	0.991	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.009	0.991	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.009	0.991	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.009	0.991	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.008	0.992	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.008	0.992	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.008	0.992	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.008	0.992	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.005	0.995	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.005	0.995	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.005	0.995	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.004	0.996	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.003	0.996	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.003	0.997	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.003	0.997	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.003	0.997	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.003	0.997	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.003	0.997	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.002	0.997	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.002	0.997	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.002	0.998	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.002	0.998	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.002	0.998	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs490049 lBF = `0.00106161` Chr`13` : `33,564,863`	0.000	0.998	0.001
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.001	0.999	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.001	0.999	0.000
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.001	0.999	0.000
rs9574199 lBF = `-0.0436702` Chr`13` : `78,808,914`	0.000	0.999	0.001
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.001	0.999	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.001	0.999	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.001	0.999	0.000
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.000	0.999	0.001
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	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
rs9522267 lBF = `0` Chr`13` : `112,196,367`	0.001	0.999	0.001
rs146168866 lBF = `0` Chr`13` : `113,966,989`	0.001	0.999	0.001
rs11838918 lBF = `0` Chr`13` : `79,410,574`	0.001	0.999	0.001
rs4907479 lBF = `0` Chr`13` : `113,659,108`	0.001	0.999	0.001
rs148788110 lBF = `0` Chr`13` : `68,366,201`	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
rs9577729 lBF = `0` Chr`13` : `113,020,757`	0.001	0.999	0.001
rs9604529 lBF = `0` Chr`13` : `114,622,597`	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
rs190312121 lBF = `0` Chr`13` : `19,731,544`	0.001	0.999	0.001
rs561241 lBF = `0` Chr`13` : `113,760,034`	0.001	0.999	0.001
rs944899 lBF = `0` Chr`13` : `112,750,961`	0.001	0.999	0.001
rs9329350 lBF = `0` Chr`13` : `114,507,239`	0.001	0.999	0.001
rs2181540 lBF = `0` Chr`13` : `113,753,164`	0.001	0.999	0.001
rs9533095 lBF = `0` Chr`13` : `42,969,049`	0.001	0.999	0.001
rs185837131 lBF = `0` Chr`13` : `49,029,604`	0.001	0.999	0.001
rs1340490 lBF = `0` Chr`13` : `64,064,588`	0.001	0.999	0.001
rs7333181 lBF = `0` Chr`13` : `112,221,297`	0.001	0.999	0.001
rs7317038 lBF = `0` Chr`13` : `114,012,898`	0.001	0.999	0.001
rs6561030 lBF = `0` Chr`13` : `42,631,719`	0.001	0.999	0.001
rs150369165 lBF = `0` Chr`13` : `82,969,480`	0.001	0.999	0.001
rs7996217 lBF = `0` Chr`13` : `102,000,945`	0.001	0.999	0.001
rs11842874 lBF = `0` Chr`13` : `113,694,509`	0.001	0.999	0.001
rs78319313 lBF = `0` Chr`13` : `71,595,310`	0.001	0.999	0.001
rs9560113 lBF = `0` Chr`13` : `112,183,348`	0.001	0.999	0.001
rs3211770 lBF = `0` Chr`13` : `113,793,849`	0.001	0.999	0.001
rs1278769 lBF = `0` Chr`13` : `113,536,627`	0.001	0.999	0.001
rs3812831 lBF = `0` Chr`13` : `114,900,150`	0.001	0.999	0.001
rs186967887 lBF = `0` Chr`13` : `71,249,529`	0.001	0.999	0.001
rs7336690 lBF = `0` Chr`13` : `112,075,344`	0.001	0.999	0.001
rs488703 lBF = `0` Chr`13` : `113,770,876`	0.001	0.999	0.001
rs9324268 lBF = `0` Chr`13` : `112,836,655`	0.001	0.999	0.001
rs7140110 lBF = `0` Chr`13` : `114,544,024`	0.001	0.999	0.001
rs555212 lBF = `0` Chr`13` : `113,756,540`	0.001	0.999	0.001
rs187785117 lBF = `0` Chr`13` : `49,149,871`	0.001	0.999	0.001
rs182426545 lBF = `0` Chr`13` : `64,093,345`	0.001	0.999	0.001
rs9577381 lBF = `0` Chr`13` : `112,575,604`	0.001	0.999	0.001
rs9604153 lBF = `0` Chr`13` : `114,214,125`	0.001	0.999	0.001
rs1012053 lBF = `0` Chr`13` : `42,653,437`	0.001	0.999	0.001
rs141318698 lBF = `0` Chr`13` : `68,234,959`	0.001	0.999	0.001
rs10665 lBF = `0` Chr`13` : `113,752,831`	0.001	0.999	0.001
rs138607199 lBF = `-0.0000045` Chr`13` : `68,268,012`	0.001	0.999	0.000
rs627871 lBF = `-0.00007697` Chr`13` : `34,906,055`	0.001	0.999	0.000
rs191275341 lBF = `0.00047124` Chr`13` : `95,067,121`	0.001	0.999	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.001	0.999	0.000
rs12868495 lBF = `0.0035367` Chr`13` : `34,641,562`	0.000	0.999	0.001
rs16962638 lBF = `-0.00032597` Chr`13` : `104,186,919`	0.001	0.999	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.001	0.999	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.001	0.999	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.001	0.999	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.001	0.999	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.001	0.999	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.001	0.999	0.000
rs17649135 lBF = `0.00345178` Chr`13` : `57,994,710`	0.001	0.999	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.001	0.999	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.001	0.999	0.000
rs17057285 lBF = `-0.00026026` Chr`13` : `38,737,821`	0.001	0.999	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.001	0.999	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.001	0.999	0.000
rs73505772 lBF = `-0.00091391` Chr`13` : `63,738,724`	0.000	0.999	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.001	0.999	0.000
rs1497062 lBF = `-0.062223` Chr`13` : `82,581,442`	0.001	0.999	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.000	0.999	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.000	0.999	0.000
rs7984869 lBF = `-0.10427` Chr`13` : `86,690,527`	0.001	0.999	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	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
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rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.000	1.000	0.000
rs912784 lBF = `0.0057968` Chr`13` : `46,785,521`	0.000	1.000	0.000
rs111859823 lBF = `0.00503855` Chr`13` : `110,660,190`	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
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs115694210 lBF = `-0.00229245` Chr`13` : `106,392,579`	0.000	1.000	0.000
rs79490558 lBF = `-0.00311595` Chr`13` : `45,886,186`	0.000	1.000	0.000
rs17714988 lBF = `-0.00333833` Chr`13` : `74,995,660`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs17648246 lBF = `-0.00487677` Chr`13` : `45,493,881`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	1.000	0.000
rs563538 lBF = `-0.00887784` Chr`13` : `37,433,721`	0.000	1.000	0.000
rs59876823 lBF = `-0.00911228` Chr`13` : `100,734,524`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	1.000	0.000
rs143258881 lBF = `-0.0119224` Chr`13` : `93,945,858`	0.000	1.000	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	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
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	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
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs9646096 lBF = `-0.0201529` Chr`13` : `38,065,446`	0.000	1.000	0.000
rs9316505 lBF = `-0.0208236` Chr`13` : `51,390,598`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs12585963 lBF = `-0.0233729` Chr`13` : `59,953,466`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs3736830 lBF = `-0.02483` Chr`13` : `50,306,221`	0.000	1.000	0.000
rs1590305 lBF = `-0.0249349` Chr`13` : `38,035,189`	0.000	1.000	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs10507380 lBF = `-0.030208` Chr`13` : `27,879,526`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs9578438 lBF = `-0.0319063` Chr`13` : `22,729,205`	0.000	1.000	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	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
rs9573194 lBF = `-0.0377602` Chr`13` : `74,004,376`	0.000	1.000	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs17485138 lBF = `-0.0455703` Chr`13` : `109,502,849`	0.000	1.000	0.000
rs9561329 lBF = `-0.052235` Chr`13` : `94,011,169`	0.000	1.000	0.000
rs9919839 lBF = `-0.0581421` Chr`13` : `72,174,353`	0.000	1.000	0.000
rs7336933 lBF = `-0.0666056` Chr`13` : `42,559,076`	0.000	1.000	0.000
rs185694 lBF = `-0.071821` Chr`13` : `30,885,223`	0.000	1.000	0.000
rs7982677 lBF = `-0.0783993` Chr`13` : `92,988,323`	0.000	1.000	0.000
rs7989332 lBF = `-0.0789607` Chr`13` : `21,050,575`	0.000	1.000	0.000
rs9525638 lBF = `-0.0984176` Chr`13` : `43,128,577`	0.000	1.000	0.000
rs4771996 lBF = `-0.099928` Chr`13` : `98,053,792`	0.000	1.000	0.000
rs17536328 lBF = `-0.101345` Chr`13` : `43,143,029`	0.000	1.000	0.000
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.000	1.000	0.000
rs9594759 lBF = `1.98815` Chr`13` : `43,032,593`	0.000	1.000	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.000	1.000	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	1.000	0.000
rs2031532 lBF = `0.8144` Chr`13` : `50,080,847`	0.000	1.000	0.000
rs55940034 lBF = `0.737182` Chr`13` : `111,043,309`	0.000	1.000	0.000
rs4942486 lBF = `0.543847` Chr`13` : `32,953,388`	0.000	1.000	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	1.000	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	1.000	0.000
rs2323266 lBF = `0.322191` Chr`13` : `61,965,303`	0.000	1.000	0.000
rs3742130 lBF = `0.312804` Chr`13` : `99,907,341`	0.000	1.000	0.000
rs9533090 lBF = `0.311508` Chr`13` : `42,951,449`	0.000	1.000	0.000
rs6563199 lBF = `0.299279` Chr`13` : `81,550,449`	0.000	1.000	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	1.000	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.000	1.000	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs9545047 lBF = `0.213006` Chr`13` : `79,859,456`	0.000	1.000	0.000
rs2755237 lBF = `0.206837` Chr`13` : `41,109,429`	0.000	1.000	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	1.000	0.000
rs9525916 lBF = `0.17004` Chr`13` : `44,702,869`	0.000	1.000	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.000	1.000	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	1.000	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	0.000	1.000	0.000
rs80092143 lBF = `0.0790407` Chr`13` : `91,057,759`	0.000	1.000	0.000
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	1.000	0.000
rs4771122 lBF = `0.0536677` Chr`13` : `28,020,180`	0.000	1.000	0.000
rs1926320 lBF = `0.039235` Chr`13` : `36,652,617`	0.000	1.000	0.000
rs1572050 lBF = `0.0338794` Chr`13` : `94,870,765`	0.000	1.000	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.000	1.000	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.7142

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0983

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0900

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9239

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9092

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8975

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8966

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8708

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8696

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8692

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8587

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8410

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8399

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8375

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8250

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8147

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8129

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8047

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8028

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8006

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7853

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7563

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7562

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7449

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7348

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7169

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7167

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7167

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7167

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7166

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7165

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7164

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7161

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7159

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7155

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7151

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7148

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7144

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7128

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7125

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7085

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7078

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7053

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6998

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6928

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6858

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6827

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6817

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6809

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6609

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6438

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6406

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6068

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5976

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5937

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5871

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5260

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5250

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4754

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4610

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4593

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4593

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4328

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4070

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3713

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3662

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3565

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3027

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2521

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2459

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2370

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1930

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1561

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1422

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1403

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1370

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1334

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1195

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1147

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1064

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1016

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0907

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0876

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0740

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0726

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0715

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0596

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`)