TreeWAS – [C79.3] Secondary malignant neoplasm of brain and cerebral meninges

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
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.999	0.001	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.980	0.020	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.973	0.027	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.965	0.035	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.951	0.049	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.936	0.064	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.894	0.106	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.880	0.120	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.866	0.134	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.861	0.139	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.841	0.159	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.837	0.163	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.828	0.172	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.817	0.183	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.804	0.196	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.801	0.199	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.773	0.227	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.770	0.230	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.761	0.239	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.716	0.284	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.701	0.299	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.666	0.334	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.645	0.355	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.638	0.362	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.628	0.372	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.618	0.382	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.598	0.402	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.591	0.409	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.577	0.423	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.559	0.441	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.549	0.451	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.520	0.480	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.518	0.482	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.514	0.486	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.507	0.492	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.496	0.504	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.452	0.548	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.442	0.558	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.439	0.561	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.439	0.561	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.435	0.565	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.418	0.582	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.416	0.583	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.409	0.590	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.405	0.595	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.381	0.619	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.368	0.632	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.362	0.638	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.361	0.639	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.359	0.641	0.000
rs349114 lBF = `0.104381` Chr`13` : `98,203,727`	0.350	0.650	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.348	0.652	0.000
rs4942486 lBF = `0.543847` Chr`13` : `32,953,388`	0.000	0.656	0.344
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.331	0.669	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.321	0.679	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.313	0.686	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.313	0.687	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.298	0.702	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.719	0.281
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.279	0.721	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.270	0.729	0.000
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.263	0.737	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.250	0.750	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.248	0.752	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.240	0.760	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.240	0.760	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.235	0.765	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.225	0.774	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.218	0.781	0.001
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.202	0.797	0.000
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.190	0.810	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.188	0.812	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.180	0.819	0.001
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.180	0.820	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.176	0.823	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.172	0.828	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.165	0.835	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.158	0.842	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.157	0.842	0.001
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.154	0.846	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.151	0.849	0.001
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.148	0.851	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.146	0.854	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.139	0.861	0.001
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.132	0.868	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.129	0.870	0.001
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.125	0.875	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.122	0.877	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.115	0.885	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.107	0.892	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.105	0.895	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.102	0.898	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.096	0.904	0.000
rs56084662 lBF = `0.0799177` Chr`13` : `32,869,864`	0.093	0.907	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.086	0.914	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.080	0.920	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.075	0.925	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.074	0.926	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.074	0.926	0.000
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.073	0.926	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.072	0.927	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.071	0.929	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.068	0.932	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.064	0.936	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.051	0.949	0.001
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.043	0.956	0.001
rs9521632 lBF = `13.7226` Chr`13` : `110,832,918`	0.000	0.956	0.044
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.043	0.957	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.042	0.957	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.037	0.963	0.000
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.036	0.963	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.035	0.965	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.034	0.966	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.032	0.968	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.031	0.969	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	0.971	0.029
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.028	0.971	0.001
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.028	0.972	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.000	0.973	0.027
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.027	0.973	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.027	0.973	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.026	0.974	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.026	0.974	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.023	0.977	0.001
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.021	0.979	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.019	0.981	0.001
rs1509091 lBF = `0.0291212` Chr`13` : `108,491,592`	0.018	0.982	0.000
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.017	0.982	0.001
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.017	0.983	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.016	0.984	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.015	0.985	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.000	0.986	0.014
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.014	0.986	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.005	0.987	0.008
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.013	0.987	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.013	0.987	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.011	0.989	0.000
rs4771996 lBF = `-0.099928` Chr`13` : `98,053,792`	0.000	0.990	0.010
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.009	0.991	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.008	0.992	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.005	0.992	0.003
rs9513373 lBF = `0.00904787` Chr`13` : `98,866,996`	0.000	0.992	0.008
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.007	0.993	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.007	0.993	0.000
rs2721051 lBF = `0.26454` Chr`13` : `41,110,884`	0.007	0.993	0.000
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.006	0.994	0.001
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.006	0.994	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.005	0.994	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.005	0.994	0.001
rs17057285 lBF = `-0.00026026` Chr`13` : `38,737,821`	0.005	0.994	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.005	0.995	0.000
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.005	0.995	0.000
rs9317639 lBF = `0.045754` Chr`13` : `67,686,840`	0.005	0.995	0.000
rs9805786 lBF = `0.372655` Chr`13` : `24,658,356`	0.000	0.995	0.005
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.005	0.995	0.000
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.004	0.995	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.004	0.995	0.001
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.005	0.995	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.996	0.000
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.004	0.996	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.004	0.996	0.000
rs4773330 lBF = `0.369987` Chr`13` : `111,818,832`	0.000	0.996	0.004
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.997	0.000
rs7324557 lBF = `-0.0219179` Chr`13` : `24,296,862`	0.000	0.997	0.003
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	0.997	0.003
rs9533799 lBF = `-0.117337` Chr`13` : `44,808,174`	0.000	0.997	0.003
rs7992643 lBF = `-0.0720002` Chr`13` : `100,555,038`	0.003	0.997	0.000
rs1409173 lBF = `0.00207526` Chr`13` : `94,940,309`	0.003	0.997	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.003	0.997	0.000
rs3742207 lBF = `-0.0989003` Chr`13` : `110,818,598`	0.000	0.997	0.003
rs913246 lBF = `0.46896` Chr`13` : `40,948,151`	0.003	0.997	0.000
rs4770049 lBF = `0.117272` Chr`13` : `21,093,604`	0.000	0.997	0.003
rs11841001 lBF = `-0.019701` Chr`13` : `76,249,103`	0.000	0.997	0.003
rs1333026 lBF = `-0.0536107` Chr`13` : `66,120,784`	0.000	0.997	0.003
rs4770394 lBF = `0.00588362` Chr`13` : `23,692,978`	0.002	0.997	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.002	0.997	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs2806974 lBF = `-0.122123` Chr`13` : `53,659,930`	0.000	0.998	0.002
rs9545740 lBF = `0.0516254` Chr`13` : `82,075,592`	0.000	0.998	0.002
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.002	0.998	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	0.998	0.002
rs9788333 lBF = `-0.0119888` Chr`13` : `21,876,096`	0.000	0.998	0.002
rs9558942 lBF = `-0.0605796` Chr`13` : `107,700,218`	0.002	0.998	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.000	0.998	0.002
rs12871532 lBF = `-0.0855693` Chr`13` : `108,668,547`	0.000	0.998	0.002
rs9540493 lBF = `0.203441` Chr`13` : `66,205,704`	0.000	0.998	0.002
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.002	0.998	0.000
rs603894 lBF = `0.0931995` Chr`13` : `103,355,327`	0.002	0.998	0.000
rs17718828 lBF = `-0.0215309` Chr`13` : `75,128,114`	0.000	0.998	0.002
rs2806946 lBF = `-0.126033` Chr`13` : `53,645,933`	0.000	0.998	0.002
rs12853515 lBF = `-0.0382816` Chr`13` : `111,781,060`	0.002	0.998	0.000
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs2806971 lBF = `-0.121707` Chr`13` : `53,653,856`	0.000	0.998	0.002
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.002	0.998	0.000
rs8002779 lBF = `-0.00518483` Chr`13` : `92,015,977`	0.000	0.998	0.002
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.001	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.001	0.998	0.000
rs17655948 lBF = `-0.0324613` Chr`13` : `106,067,920`	0.000	0.998	0.002
rs9319064 lBF = `0.00144693` Chr`13` : `85,251,712`	0.001	0.998	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.002	0.998	0.000
rs7323893 lBF = `0.00084202` Chr`13` : `88,704,706`	0.001	0.998	0.000
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rs9561329 lBF = `-0.052235` Chr`13` : `94,011,169`	0.000	1.000	0.000
rs12583882 lBF = `-0.0542978` Chr`13` : `47,573,616`	0.000	1.000	0.000
rs3125719 lBF = `-0.0868272` Chr`13` : `29,990,966`	0.000	1.000	0.000
rs17490056 lBF = `-0.0918619` Chr`13` : `66,726,903`	0.000	1.000	0.000
rs11617955 lBF = `16.8324` Chr`13` : `110,818,102`	0.000	1.000	0.000
rs17798800 lBF = `1.16738` Chr`13` : `34,950,527`	0.000	1.000	0.000
rs2388082 lBF = `0.00830126` Chr`13` : `29,961,332`	0.000	1.000	0.000
rs2770228 lBF = `-0.00894791` Chr`13` : `98,200,572`	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
rs17079247 lBF = `-0.0203209` Chr`13` : `85,665,879`	0.000	1.000	0.000
rs7995215 lBF = `-0.0819467` Chr`13` : `94,408,506`	0.000	1.000	0.000
rs3809346 lBF = `-0.110285` Chr`13` : `110,960,943`	0.000	1.000	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.000	1.000	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs7984966 lBF = `-0.0111934` Chr`13` : `47,429,446`	0.000	1.000	0.000
rs1161463 lBF = `-0.0261927` Chr`13` : `29,431,338`	0.000	1.000	0.000
rs9531686 lBF = `-0.0895328` Chr`13` : `85,549,736`	0.000	1.000	0.000
rs4773144 lBF = `-0.099209` Chr`13` : `110,960,712`	0.000	1.000	0.000
rs9568797 lBF = `-0.118854` Chr`13` : `53,613,559`	0.000	1.000	0.000
rs1343607 lBF = `-0.135944` Chr`13` : `53,645,448`	0.000	1.000	0.000
rs9582259 lBF = `0.0312905` Chr`13` : `99,385,990`	0.000	1.000	0.000
rs767210 lBF = `0.00009999` Chr`13` : `111,470,038`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs1417205 lBF = `-0.0194988` Chr`13` : `47,898,879`	0.000	1.000	0.000
rs74657221 lBF = `-0.0321239` Chr`13` : `24,431,809`	0.000	1.000	0.000
rs9590614 lBF = `-0.111537` Chr`13` : `42,175,588`	0.000	1.000	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.000	1.000	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.000	1.000	0.000
rs1192201 lBF = `0.25583` Chr`13` : `110,806,490`	0.000	1.000	0.000
rs7328464 lBF = `0.182186` Chr`13` : `92,501,664`	0.000	1.000	0.000
rs17596685 lBF = `0.0331689` Chr`13` : `43,117,201`	0.000	1.000	0.000
rs11618202 lBF = `0.0119955` Chr`13` : `31,113,379`	0.000	1.000	0.000
rs4886238 lBF = `0.00560033` Chr`13` : `61,113,739`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs9513627 lBF = `-0.0264286` Chr`13` : `100,196,952`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs6491411 lBF = `-0.0811288` Chr`13` : `98,904,568`	0.000	1.000	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs10492604 lBF = `0.0831316` Chr`13` : `58,904,313`	0.000	1.000	0.000
rs2875517 lBF = `0.0316769` Chr`13` : `67,696,145`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs167890 lBF = `0.0110129` Chr`13` : `111,449,115`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs9599293 lBF = `-0.0073785` Chr`13` : `35,165,390`	0.000	1.000	0.000
rs2555603 lBF = `-0.0119412` Chr`13` : `33,798,262`	0.000	1.000	0.000
rs76248362 lBF = `-0.0180344` Chr`13` : `24,421,776`	0.000	1.000	0.000
rs7339349 lBF = `-0.0199355` Chr`13` : `74,556,225`	0.000	1.000	0.000
rs7325564 lBF = `-0.0969813` Chr`13` : `51,724,664`	0.000	1.000	0.000
rs4304924 lBF = `-0.0987476` Chr`13` : `79,238,925`	0.000	1.000	0.000
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.000	1.000	0.000
rs17393344 lBF = `0.111217` Chr`13` : `109,473,946`	0.000	1.000	0.000
rs1475622 lBF = `0.0692125` Chr`13` : `82,716,163`	0.000	1.000	0.000
rs1021188 lBF = `0.0320154` Chr`13` : `43,116,133`	0.000	1.000	0.000
rs2765086 lBF = `0.00291719` Chr`13` : `24,504,955`	0.000	1.000	0.000
rs3119939 lBF = `-0.0229906` Chr`13` : `63,638,329`	0.000	1.000	0.000
rs2277425 lBF = `-0.0251482` Chr`13` : `111,522,258`	0.000	1.000	0.000
rs12865097 lBF = `-0.0320758` Chr`13` : `45,477,410`	0.000	1.000	0.000
rs12877581 lBF = `-0.0581033` Chr`13` : `74,325,499`	0.000	1.000	0.000
rs8002861 lBF = `-0.0862864` Chr`13` : `44,474,517`	0.000	1.000	0.000
rs2806949 lBF = `-0.136219` Chr`13` : `53,646,138`	0.000	1.000	0.000
rs2806933 lBF = `-0.142699` Chr`13` : `53,643,370`	0.000	1.000	0.000
rs2323266 lBF = `0.322191` Chr`13` : `61,965,303`	0.000	1.000	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	1.000	0.000
rs7323507 lBF = `0.0323187` Chr`13` : `110,572,210`	0.000	1.000	0.000
rs10492664 lBF = `0.00816758` Chr`13` : `108,816,225`	0.000	1.000	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	1.000	0.000
rs17538444 lBF = `-0.0368705` Chr`13` : `43,834,270`	0.000	1.000	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	1.000	0.000
rs7336933 lBF = `-0.0666056` Chr`13` : `42,559,076`	0.000	1.000	0.000
rs9600079 lBF = `-0.0738818` Chr`13` : `73,728,139`	0.000	1.000	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.000	1.000	0.000
rs17085007 lBF = `1.29436` Chr`13` : `27,531,267`	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
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	1.000	0.000
rs2997105 lBF = `0.00578687` Chr`13` : `56,378,424`	0.000	1.000	0.000
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.000	1.000	0.000
rs17534004 lBF = `-0.0236867` Chr`13` : `31,469,665`	0.000	1.000	0.000
rs9317284 lBF = `-0.0274082` Chr`13` : `63,634,350`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs6563695 lBF = `-0.0430247` Chr`13` : `39,903,243`	0.000	1.000	0.000
rs539514 lBF = `-0.0582911` Chr`13` : `76,326,282`	0.000	1.000	0.000
rs17051917 lBF = `-0.0654832` Chr`13` : `35,768,789`	0.000	1.000	0.000
rs7998314 lBF = `-0.0691174` Chr`13` : `94,233,129`	0.000	1.000	0.000
rs155076 lBF = `-0.0755439` Chr`13` : `21,870,114`	0.000	1.000	0.000
rs2066219 lBF = `-0.0771924` Chr`13` : `69,530,664`	0.000	1.000	0.000
rs9314986 lBF = `2.19433` Chr`13` : `30,458,737`	0.000	1.000	0.000
rs12428086 lBF = `0.502216` Chr`13` : `36,441,099`	0.000	1.000	0.000
rs1512651 lBF = `0.296602` Chr`13` : `56,772,696`	0.000	1.000	0.000
rs9512755 lBF = `0.281975` Chr`13` : `28,158,229`	0.000	1.000	0.000
rs200220 lBF = `0.172577` Chr`13` : `50,960,378`	0.000	1.000	0.000
rs9552416 lBF = `0.11584` Chr`13` : `19,311,241`	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

0.9913

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.8865

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4076

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

1.0000

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9999

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9999

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9998

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9997

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9997

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9995

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9995

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9995

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9993

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9991

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9987

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9986

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9985

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9977

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9963

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9955

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9949

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9948

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9941

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9928

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9905

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9894

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9820

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9811

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9688

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9570

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9522

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9516

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9498

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9497

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9495

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.9483

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9464

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9453

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9303

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9203

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9092

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8901

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8641

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8430

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8291

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8216

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7946

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7911

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7815

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7735

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7605

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7586

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7462

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7216

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6866

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6800

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6380

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6280

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5796

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5724

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5674

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5622

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5380

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5323

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5272

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5186

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5171

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5155

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4753

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4685

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4136

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3540

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3523

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3301

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3121

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2923

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2890

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2602

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2501

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2447

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2231

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2218

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2215

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2145

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1874

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1670

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1649

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1331

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1215

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1120

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1029

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0891

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0795

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0792

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0626

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0531

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`)