TreeWAS – [I25.5] Ischaemic cardiomyopathy

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
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.885	0.115	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	0.139	0.861
rs12873154 lBF = `5.39657` Chr`13` : `110,920,852`	0.848	0.152	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.824	0.175	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.822	0.178	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.816	0.184	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.807	0.193	0.000
rs7332115 lBF = `0.86443` Chr`13` : `33,147,548`	0.000	0.199	0.801
rs7333607 lBF = `5.77738` Chr`13` : `37,462,010`	0.797	0.203	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.794	0.206	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.790	0.210	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.789	0.211	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.750	0.250	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.734	0.266	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.728	0.272	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.726	0.274	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.717	0.283	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.715	0.285	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.713	0.287	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.712	0.288	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.712	0.288	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	0.288	0.712
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.704	0.296	0.000
rs9521632 lBF = `13.7226` Chr`13` : `110,832,918`	0.702	0.298	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.697	0.303	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.688	0.312	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.673	0.327	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.666	0.334	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.662	0.338	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.658	0.342	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.652	0.348	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.651	0.349	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.640	0.360	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.638	0.362	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.635	0.365	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.633	0.367	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.631	0.369	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.622	0.378	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.615	0.384	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.610	0.389	0.000
rs9515203 lBF = `8.96321` Chr`13` : `111,049,623`	0.000	0.393	0.607
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.577	0.423	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.543	0.457	0.000
rs9595908 lBF = `0.339609` Chr`13` : `33,184,288`	0.000	0.476	0.524
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.514	0.486	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.510	0.490	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.506	0.493	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.489	0.511	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.457	0.543	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.415	0.585	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.398	0.601	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.394	0.606	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.388	0.612	0.000
rs718444 lBF = `0.179442` Chr`13` : `33,147,052`	0.000	0.648	0.352
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.332	0.668	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.309	0.691	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.290	0.709	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.282	0.718	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.265	0.735	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.239	0.761	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.198	0.802	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.160	0.840	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.151	0.849	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.141	0.859	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.140	0.860	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.137	0.863	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.133	0.867	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.117	0.883	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.104	0.896	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.099	0.900	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.098	0.902	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.095	0.905	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.094	0.906	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.087	0.913	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.084	0.916	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.081	0.919	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.081	0.919	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.075	0.925	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.069	0.931	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.055	0.944	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.054	0.946	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	0.950	0.050
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.048	0.951	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.048	0.951	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.047	0.952	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.043	0.957	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.041	0.959	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.039	0.961	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.038	0.962	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.035	0.965	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.032	0.968	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.032	0.968	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.031	0.969	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.025	0.975	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.022	0.978	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.021	0.978	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.022	0.978	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.020	0.979	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.020	0.980	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.019	0.981	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.018	0.982	0.000
rs9563576 lBF = `0.00138443` Chr`13` : `58,670,147`	0.000	0.987	0.013
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.012	0.988	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.012	0.988	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.988	0.012
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.011	0.989	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.011	0.989	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.011	0.989	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.011	0.989	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	0.989	0.011
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.010	0.990	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.010	0.990	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.009	0.991	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.009	0.991	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.008	0.992	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.001	0.992	0.006
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.007	0.993	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.994	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.000	0.994	0.006
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.006	0.994	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.005	0.995	0.000
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.000	0.995	0.005
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.004	0.996	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.004	0.996	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.004	0.996	0.001
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.996	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.004	0.996	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.004	0.996	0.000
rs9508025 lBF = `-0.0065922` Chr`13` : `28,984,063`	0.004	0.996	0.000
rs4773144 lBF = `-0.099209` Chr`13` : `110,960,712`	0.004	0.996	0.000
rs4304924 lBF = `-0.0987476` Chr`13` : `79,238,925`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.003	0.997	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.003	0.997	0.000
rs3119939 lBF = `-0.0229906` Chr`13` : `63,638,329`	0.000	0.997	0.003
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.997	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.003	0.997	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.997	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.002	0.997	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.002	0.998	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.002	0.998	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.002	0.998	0.000
rs11839053 lBF = `0.0264066` Chr`13` : `107,063,042`	0.002	0.998	0.000
rs7984606 lBF = `0.00767471` Chr`13` : `70,455,661`	0.002	0.998	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.002	0.998	0.000
rs6563569 lBF = `-0.0634367` Chr`13` : `38,260,408`	0.000	0.998	0.002
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.001	0.998	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.001	0.998	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.001	0.998	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.001	0.999	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.001	0.999	0.000
rs9533799 lBF = `-0.117337` Chr`13` : `44,808,174`	0.000	0.999	0.001
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.999	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.001	0.999	0.000
rs9554348 lBF = `0.224776` Chr`13` : `97,012,355`	0.001	0.999	0.000
rs9559377 lBF = `-0.0172298` Chr`13` : `109,264,870`	0.000	0.999	0.001
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.001	0.999	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.001	0.999	0.000
rs3809346 lBF = `-0.110285` Chr`13` : `110,960,943`	0.001	0.999	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	0.999	0.001
rs9556958 lBF = `0.0920075` Chr`13` : `99,100,046`	0.000	0.999	0.001
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs583464 lBF = `-0.0788608` Chr`13` : `104,091,545`	0.001	0.999	0.000
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs1239947 lBF = `-0.0197112` Chr`13` : `51,106,555`	0.001	0.999	0.000
rs35669975 lBF = `0.321569` Chr`13` : `107,790,401`	0.001	0.999	0.000
rs171156 lBF = `-0.0117374` Chr`13` : `80,845,641`	0.000	0.999	0.001
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.001	0.999	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.001	0.999	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.001	0.999	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.000	0.999	0.001
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	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
rs1441264 lBF = `-0.100188` Chr`13` : `79,580,919`	0.000	0.999	0.001
rs7997462 lBF = `0.332208` Chr`13` : `58,257,165`	0.000	0.999	0.001
rs490049 lBF = `0.00106161` Chr`13` : `33,564,863`	0.000	0.999	0.001
rs141008343 lBF = `0.00000448` Chr`13` : `68,309,045`	0.001	0.999	0.000
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
rs138128600 lBF = `0` Chr`13` : `73,764,625`	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
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
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rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	1.000	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.000	1.000	0.000
rs1926320 lBF = `0.039235` Chr`13` : `36,652,617`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs75327846 lBF = `0.00440304` Chr`13` : `100,456,512`	0.000	1.000	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.000	1.000	0.000
rs975739 lBF = `-0.00282109` Chr`13` : `78,381,146`	0.000	1.000	0.000
rs12585963 lBF = `-0.0233729` Chr`13` : `59,953,466`	0.000	1.000	0.000
rs17252438 lBF = `-0.0295593` Chr`13` : `67,560,612`	0.000	1.000	0.000
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	1.000	0.000
rs9535020 lBF = `-0.0486569` Chr`13` : `48,923,808`	0.000	1.000	0.000
rs4482178 lBF = `-0.053938` Chr`13` : `86,104,089`	0.000	1.000	0.000
rs9554197 lBF = `-0.0655451` Chr`13` : `28,476,978`	0.000	1.000	0.000
rs2044117 lBF = `-0.0720176` Chr`13` : `101,708,310`	0.000	1.000	0.000
rs7982677 lBF = `-0.0783993` Chr`13` : `92,988,323`	0.000	1.000	0.000
rs2806946 lBF = `-0.126033` Chr`13` : `53,645,933`	0.000	1.000	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.000	1.000	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.000	1.000	0.000
rs9567307 lBF = `4.38886` Chr`13` : `44,471,877`	0.000	1.000	0.000
rs3116602 lBF = `3.86436` Chr`13` : `51,111,355`	0.000	1.000	0.000
rs3118914 lBF = `3.81812` Chr`13` : `51,116,901`	0.000	1.000	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.000	1.000	0.000
rs2038823 lBF = `0.716143` Chr`13` : `96,951,433`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs11841589 lBF = `0.114796` Chr`13` : `73,814,891`	0.000	1.000	0.000
rs9523762 lBF = `0.0559474` Chr`13` : `93,331,886`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	1.000	0.000
rs9574246 lBF = `0.0015373` Chr`13` : `79,038,429`	0.000	1.000	0.000
rs1116255 lBF = `0.00049198` Chr`13` : `55,489,005`	0.000	1.000	0.000
rs563538 lBF = `-0.00887784` Chr`13` : `37,433,721`	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
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.000	1.000	0.000
rs642899 lBF = `-0.0255755` Chr`13` : `33,680,854`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs1330950 lBF = `-0.0696998` Chr`13` : `107,338,801`	0.000	1.000	0.000
rs17079928 lBF = `-0.071019` Chr`13` : `24,654,228`	0.000	1.000	0.000
rs9521597 lBF = `-0.0939181` Chr`13` : `110,754,667`	0.000	1.000	0.000
rs1109630 lBF = `5.363` Chr`13` : `114,820,990`	0.000	1.000	0.000
rs17061048 lBF = `3.97824` Chr`13` : `40,833,012`	0.000	1.000	0.000
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.000	1.000	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.000	1.000	0.000
rs9557195 lBF = `0.122842` Chr`13` : `99,956,622`	0.000	1.000	0.000
rs2440012 lBF = `0.0835384` Chr`13` : `19,440,123`	0.000	1.000	0.000
rs302010 lBF = `0.00837433` Chr`13` : `70,719,462`	0.000	1.000	0.000
rs7318913 lBF = `0.00292219` Chr`13` : `68,572,037`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	0.000	1.000	0.000
rs1372791 lBF = `-0.0148722` Chr`13` : `106,785,265`	0.000	1.000	0.000
rs11838472 lBF = `-0.0154451` Chr`13` : `73,741,149`	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
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs9534578 lBF = `-0.0245164` Chr`13` : `47,843,377`	0.000	1.000	0.000
rs9520462 lBF = `-0.0283091` Chr`13` : `108,134,909`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs16854 lBF = `-0.0747142` Chr`13` : `110,755,832`	0.000	1.000	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.000	1.000	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs9315632 lBF = `0.319659` Chr`13` : `39,516,627`	0.000	1.000	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	0.000	1.000	0.000
rs9557207 lBF = `0.114754` Chr`13` : `100,036,418`	0.000	1.000	0.000
rs1926657 lBF = `0.0582323` Chr`13` : `95,874,956`	0.000	1.000	0.000
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	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
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	1.000	0.000
rs12583965 lBF = `-0.0157985` Chr`13` : `78,808,813`	0.000	1.000	0.000
rs732949 lBF = `-0.0237753` Chr`13` : `53,517,884`	0.000	1.000	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	1.000	0.000
rs4773460 lBF = `-0.0614274` Chr`13` : `87,242,857`	0.000	1.000	0.000
rs1973985 lBF = `-0.0644865` Chr`13` : `107,082,904`	0.000	1.000	0.000
rs2762051 lBF = `-0.0685734` Chr`13` : `50,835,715`	0.000	1.000	0.000
rs2149423 lBF = `-0.0696858` Chr`13` : `36,772,381`	0.000	1.000	0.000
rs7992643 lBF = `-0.0720002` Chr`13` : `100,555,038`	0.000	1.000	0.000
rs912330 lBF = `-0.0737766` Chr`13` : `99,131,294`	0.000	1.000	0.000
rs1572072 lBF = `-0.0852048` Chr`13` : `24,127,210`	0.000	1.000	0.000
rs2297585 lBF = `1.21787` Chr`13` : `24,044,344`	0.000	1.000	0.000
rs4942486 lBF = `0.543847` Chr`13` : `32,953,388`	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 X0228

log Bayes Factor = 196.521

contains 11 variants

1.0000

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9995

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.9981

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.9185

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.7612

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6181

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5803

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9990

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.9988

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9982

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9981

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9961

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9939

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9935

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9900

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9897

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9876

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9828

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.9821

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9794

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9753

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9681

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9613

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9596

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9585

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9573

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9561

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9550

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9515

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.9474

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9463

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9357

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9332

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.9327

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9247

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9235

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9192

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9155

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9154

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9129

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9069

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9004

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8988

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8821

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8700

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8678

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8658

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8581

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8534

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8484

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8415

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8395

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8356

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8333

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8221

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.8199

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8175

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8088

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8061

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7730

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7604

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7442

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7400

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7120

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6933

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.6828

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6758

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6468

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6396

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6138

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6026

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5699

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5430

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5311

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5109

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4374

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4340

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3762

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3547

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2865

Cluster X0104

log Bayes Factor = 122.44

contains 5 variants

0.1991

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1715

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1713

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1446

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1256

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1187

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1044

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1023

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0950

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0879

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0863

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0804

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0729

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0719

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0710

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0532

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0530

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0524

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0518

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0504

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`)