TreeWAS – [N85.7] Haematometra

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
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.694	0.306	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.635	0.365	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.616	0.384	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.537	0.463	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.469	0.531	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.451	0.549	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.440	0.560	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.432	0.568	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.410	0.590	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.408	0.592	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.405	0.595	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.396	0.604	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.386	0.613	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.367	0.633	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.327	0.673	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.318	0.682	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.292	0.708	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.271	0.728	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.258	0.742	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.230	0.770	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.230	0.770	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.219	0.781	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.218	0.782	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.216	0.784	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.204	0.796	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.181	0.818	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.174	0.825	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.172	0.827	0.001
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.164	0.836	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.159	0.840	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.156	0.844	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.154	0.846	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.153	0.846	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.140	0.860	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.132	0.867	0.000
rs1323612 lBF = `0.12918` Chr`13` : `43,291,289`	0.000	0.868	0.132
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.128	0.872	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.127	0.873	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.117	0.882	0.001
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.111	0.889	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.098	0.902	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.098	0.902	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.089	0.910	0.001
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.076	0.923	0.001
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.071	0.928	0.001
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.064	0.936	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.063	0.936	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.059	0.940	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.059	0.941	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.051	0.948	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.034	0.966	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.033	0.967	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.033	0.967	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.031	0.969	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.029	0.970	0.001
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.970	0.029
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.026	0.974	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.023	0.977	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.019	0.980	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.019	0.981	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.018	0.982	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.016	0.984	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.016	0.984	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.013	0.987	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.013	0.987	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.012	0.988	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.011	0.989	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	0.989	0.011
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.011	0.989	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.009	0.990	0.001
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.009	0.991	0.000
rs518590 lBF = `-0.0737026` Chr`13` : `22,305,099`	0.009	0.991	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.008	0.991	0.001
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.007	0.992	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.007	0.993	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.007	0.993	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.006	0.993	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.006	0.994	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.006	0.994	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.994	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.005	0.994	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.005	0.994	0.001
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.005	0.995	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.000	0.995	0.005
rs7327673 lBF = `-0.0810812` Chr`13` : `106,439,366`	0.004	0.996	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.004	0.996	0.000
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.004	0.996	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.004	0.996	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.003	0.996	0.001
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.000	0.996	0.004
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.003	0.996	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.000	0.996	0.004
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.003	0.997	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.003	0.997	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.003	0.997	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.003	0.997	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.997	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.002	0.997	0.000
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.000	0.997	0.002
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.002	0.998	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.002	0.998	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.002	0.998	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.002	0.998	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.998	0.002
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.002	0.998	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.002	0.998	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.002	0.998	0.000
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs7328278 lBF = `0.0487745` Chr`13` : `36,351,766`	0.000	0.998	0.001
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.001	0.998	0.000
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	0.998	0.001
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.000	0.998	0.001
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.001	0.998	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.001	0.999	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.001	0.999	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.999	0.001
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.001	0.999	0.000
rs490049 lBF = `0.00106161` Chr`13` : `33,564,863`	0.000	0.999	0.001
rs1370053 lBF = `0.00250351` Chr`13` : `58,514,665`	0.001	0.999	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.001	0.999	0.000
rs41433250 lBF = `0.00057372` Chr`13` : `31,495,835`	0.001	0.999	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.001	0.999	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.001	0.999	0.000
rs627871 lBF = `-0.00007697` Chr`13` : `34,906,055`	0.001	0.999	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.000	0.999	0.001
rs1239954 lBF = `0.0002883` Chr`13` : `51,119,137`	0.001	0.999	0.000
rs191275341 lBF = `0.00047124` Chr`13` : `95,067,121`	0.001	0.999	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	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
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
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
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
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
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
rs138607199 lBF = `-0.0000045` Chr`13` : `68,268,012`	0.001	0.999	0.000
rs571411 lBF = `0.0034058` Chr`13` : `34,903,092`	0.001	0.999	0.000
rs16962638 lBF = `-0.00032597` Chr`13` : `104,186,919`	0.001	0.999	0.000
rs4148441 lBF = `-0.00913378` Chr`13` : `95,898,207`	0.001	0.999	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.001	0.999	0.000
rs181987887 lBF = `-0.00474037` Chr`13` : `77,246,519`	0.001	0.999	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.001	0.999	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.001	0.999	0.000
rs17057285 lBF = `-0.00026026` Chr`13` : `38,737,821`	0.000	0.999	0.001
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.001	0.999	0.000
rs73505772 lBF = `-0.00091391` Chr`13` : `63,738,724`	0.000	0.999	0.000
rs17064136 lBF = `0.0807938` Chr`13` : `21,815,869`	0.001	0.999	0.000
rs12868495 lBF = `0.0035367` Chr`13` : `34,641,562`	0.000	0.999	0.001
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	0.999	0.001
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.000	0.999	0.001
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	0.999	0.001
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.001	0.999	0.000
rs1441264 lBF = `-0.100188` Chr`13` : `79,580,919`	0.001	0.999	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.001	0.999	0.000
rs626277 lBF = `0.00642214` Chr`13` : `72,347,696`	0.001	0.999	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.000	0.999	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.000	0.999	0.001
rs111834582 lBF = `-0.00282996` Chr`13` : `40,788,366`	0.000	0.999	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.000	0.999	0.001
rs716877 lBF = `-0.00736188` Chr`13` : `72,347,448`	0.000	0.999	0.001
rs9592783 lBF = `-0.0963364` Chr`13` : `71,883,214`	0.001	0.999	0.000
rs12583553 lBF = `1.50404` Chr`13` : `22,332,822`	0.000	0.999	0.001
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rs7336332 lBF = `-0.0157861` Chr`13` : `28,058,404`	0.000	1.000	0.000
rs11148643 lBF = `-0.0161689` Chr`13` : `64,891,197`	0.000	1.000	0.000
rs7995618 lBF = `-0.0178469` Chr`13` : `90,014,489`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs9536318 lBF = `-0.0349281` Chr`13` : `53,494,694`	0.000	1.000	0.000
rs1530530 lBF = `-0.0362524` Chr`13` : `25,247,286`	0.000	1.000	0.000
rs1333026 lBF = `-0.0536107` Chr`13` : `66,120,784`	0.000	1.000	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	1.000	0.000
rs7322916 lBF = `-0.0656561` Chr`13` : `26,007,977`	0.000	1.000	0.000
rs2094900 lBF = `-0.07103` Chr`13` : `110,267,249`	0.000	1.000	0.000
rs7982677 lBF = `-0.0783993` Chr`13` : `92,988,323`	0.000	1.000	0.000
rs17490056 lBF = `-0.0918619` Chr`13` : `66,726,903`	0.000	1.000	0.000
rs2785946 lBF = `-0.0938217` Chr`13` : `54,929,198`	0.000	1.000	0.000
rs2119480 lBF = `-0.101061` Chr`13` : `111,343,888`	0.000	1.000	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.000	1.000	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.000	1.000	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.000	1.000	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.000	1.000	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.000	1.000	0.000
rs2062305 lBF = `2.53248` Chr`13` : `43,052,880`	0.000	1.000	0.000
rs9525625 lBF = `2.29591` Chr`13` : `43,018,030`	0.000	1.000	0.000
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.000	1.000	0.000
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	1.000	0.000
rs7993214 lBF = `1.09418` Chr`13` : `40,350,912`	0.000	1.000	0.000
rs1409005 lBF = `1.06167` Chr`13` : `79,155,612`	0.000	1.000	0.000
rs9596219 lBF = `0.31189` Chr`13` : `50,563,447`	0.000	1.000	0.000
rs9512755 lBF = `0.281975` Chr`13` : `28,158,229`	0.000	1.000	0.000
rs2687950 lBF = `0.261575` Chr`13` : `50,718,468`	0.000	1.000	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.000	1.000	0.000
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.000	1.000	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	1.000	0.000
rs7327064 lBF = `0.110379` Chr`13` : `36,771,017`	0.000	1.000	0.000
rs9507983 lBF = `0.0822587` Chr`13` : `28,620,036`	0.000	1.000	0.000
rs4526895 lBF = `0.06979` Chr`13` : `39,350,890`	0.000	1.000	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.000	1.000	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.000	1.000	0.000
rs648516 lBF = `0.00190169` Chr`13` : `38,829,622`	0.000	1.000	0.000
rs9531006 lBF = `0.00151083` Chr`13` : `80,551,563`	0.000	1.000	0.000
rs116924021 lBF = `-0.0101974` Chr`13` : `52,658,460`	0.000	1.000	0.000
rs35822625 lBF = `-0.0119424` Chr`13` : `36,714,369`	0.000	1.000	0.000
rs9634489 lBF = `-0.018318` Chr`13` : `97,049,004`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	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
rs728926 lBF = `-0.0254835` Chr`13` : `74,513,122`	0.000	1.000	0.000
rs9594221 lBF = `-0.0274964` Chr`13` : `38,118,531`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs79972364 lBF = `-0.0282665` Chr`13` : `101,831,748`	0.000	1.000	0.000
rs9547929 lBF = `-0.0303327` Chr`13` : `38,116,392`	0.000	1.000	0.000
rs1305088 lBF = `-0.0360729` Chr`13` : `29,278,450`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs1923834 lBF = `-0.037854` Chr`13` : `28,360,487`	0.000	1.000	0.000
rs9573330 lBF = `-0.0480678` Chr`13` : `74,518,210`	0.000	1.000	0.000
rs4770837 lBF = `-0.0577583` Chr`13` : `26,037,960`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs912330 lBF = `-0.0737766` Chr`13` : `99,131,294`	0.000	1.000	0.000
rs16854 lBF = `-0.0747142` Chr`13` : `110,755,832`	0.000	1.000	0.000
rs9318552 lBF = `-0.0918475` Chr`13` : `79,025,787`	0.000	1.000	0.000
rs9552733 lBF = `-0.0997026` Chr`13` : `23,412,923`	0.000	1.000	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	1.000	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.000	1.000	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.000	1.000	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.000	1.000	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.000	1.000	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.000	1.000	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.000	1.000	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.000	1.000	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.000	1.000	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.000	1.000	0.000
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.000	1.000	0.000
rs1549059 lBF = `1.68901` Chr`13` : `106,249,309`	0.000	1.000	0.000
rs34394770 lBF = `0.964353` Chr`13` : `40,333,369`	0.000	1.000	0.000
rs9543325 lBF = `0.851222` Chr`13` : `73,916,628`	0.000	1.000	0.000
rs34065801 lBF = `0.422801` Chr`13` : `36,531,548`	0.000	1.000	0.000
rs9533090 lBF = `0.311508` Chr`13` : `42,951,449`	0.000	1.000	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	1.000	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs349114 lBF = `0.104381` Chr`13` : `98,203,727`	0.000	1.000	0.000
rs35058679 lBF = `0.103442` Chr`13` : `96,145,379`	0.000	1.000	0.000
rs9591325 lBF = `0.100405` Chr`13` : `50,811,220`	0.000	1.000	0.000
rs603894 lBF = `0.0931995` Chr`13` : `103,355,327`	0.000	1.000	0.000
rs9596270 lBF = `0.0849224` Chr`13` : `50,842,440`	0.000	1.000	0.000
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.000	1.000	0.000
rs11149178 lBF = `0.0600419` Chr`13` : `81,357,671`	0.000	1.000	0.000
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	1.000	0.000
rs1572050 lBF = `0.0338794` Chr`13` : `94,870,765`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs9601248 lBF = `0.0261008` Chr`13` : `80,169,004`	0.000	1.000	0.000
rs9559203 lBF = `0.025885` Chr`13` : `108,664,754`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs302010 lBF = `0.00837433` Chr`13` : `70,719,462`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7168

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7166

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7164

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7129

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7091

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7056

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6623

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6619

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.6012

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5911

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5696

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5384

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5186

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4748

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4643

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4250

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3473

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3365

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3177

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3109

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2656

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2352

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2338

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2263

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2234

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2117

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1935

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1900

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1859

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1766

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1697

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1550

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1461

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1389

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1096

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1040

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0981

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0791

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0784

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0651

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`)