TreeWAS – [T43] Poisoning by psychotropic drugs, not elsewhere classified

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
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	1.000	0.000	0.000
rs367836 lBF = `7.56457` Chr`6` : `52,843,131`	1.000	0.000	0.000
rs318651 lBF = `5.70056` Chr`7` : `34,231,380`	1.000	0.000	0.000
rs7803069 lBF = `5.28469` Chr`7` : `34,238,688`	1.000	0.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.000	1.000
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	1.000	0.000	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	1.000	0.000	0.000
rs141727220 lBF = `5.77406` Chr`4` : `134,428,359`	1.000	0.000	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	1.000	0.000	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	1.000	0.000	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	1.000	0.000	0.000
rs11097431 lBF = `6.02195` Chr`4` : `95,506,842`	1.000	0.000	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	1.000	0.000	0.000
rs3812497 lBF = `6.67685` Chr`9` : `140,611,436`	1.000	0.000	0.000
rs10947091 lBF = `88.9982` Chr`6` : `30,747,216`	1.000	0.000	0.000
rs17336353 lBF = `5.80747` Chr`4` : `95,516,516`	1.000	0.000	0.000
rs28780116 lBF = `86.3134` Chr`6` : `30,755,668`	1.000	0.000	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	1.000	0.000	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	1.000	0.000	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	1.000	0.000	0.000
rs4666563 lBF = `8.16748` Chr`2` : `19,948,952`	1.000	0.000	0.000
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.999	0.001	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.999	0.001	0.000
rs16897899 lBF = `88.0824` Chr`6` : `30,755,744`	0.999	0.001	0.000
rs16897900 lBF = `86.7495` Chr`6` : `30,755,893`	0.999	0.001	0.000
rs13201769 lBF = `86.2755` Chr`6` : `30,756,066`	0.999	0.001	0.000
rs4713367 lBF = `87.4605` Chr`6` : `30,756,822`	0.999	0.001	0.000
rs10947095 lBF = `89.9123` Chr`6` : `30,757,575`	0.999	0.001	0.000
rs11758688 lBF = `88.8773` Chr`6` : `30,758,348`	0.999	0.001	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.999	0.001	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.999	0.001	0.000
rs4711229 lBF = `88.2579` Chr`6` : `30,756,744`	0.999	0.001	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.999	0.001	0.000
rs6900029 lBF = `88.2259` Chr`6` : `30,756,596`	0.999	0.001	0.000
rs28780119 lBF = `87.2027` Chr`6` : `30,755,863`	0.999	0.001	0.000
rs6920124 lBF = `88.2531` Chr`6` : `30,756,593`	0.999	0.001	0.000
rs12527415 lBF = `86.4047` Chr`6` : `30,754,540`	0.999	0.001	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.999	0.001	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.999	0.001	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.999	0.001	0.000
rs9468830 lBF = `85.8141` Chr`6` : `30,749,712`	0.999	0.001	0.000
rs45451594 lBF = `5.69523` Chr`10` : `5,658,757`	0.999	0.001	0.000
rs1897767 lBF = `5.8667` Chr`4` : `179,540,613`	0.000	0.001	0.999
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	0.001	0.999
rs4667594 lBF = `3.30318` Chr`2` : `170,008,506`	0.999	0.001	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.999	0.001	0.000
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.999	0.001	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.999	0.001	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.999	0.001	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.999	0.001	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.999	0.001	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.998	0.002	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.998	0.002	0.000
rs12272917 lBF = `5.57337` Chr`11` : `68,263,370`	0.000	0.002	0.998
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.998	0.002	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.998	0.002	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.998	0.002	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.998	0.002	0.000
rs10008980 lBF = `5.86369` Chr`4` : `189,258,322`	0.998	0.002	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.998	0.002	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.998	0.002	0.000
rs549114 lBF = `5.53235` Chr`1` : `94,534,354`	0.998	0.002	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.998	0.002	0.000
rs13220225 lBF = `59.7189` Chr`6` : `30,747,802`	0.998	0.002	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.998	0.002	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.997	0.003	0.000
rs881576 lBF = `6.46726` Chr`1` : `199,257,785`	0.997	0.003	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.997	0.003	0.000
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.997	0.003	0.000
rs3121290 lBF = `5.0484` Chr`10` : `30,207,685`	0.997	0.003	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.997	0.003	0.000
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.997	0.003	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.997	0.003	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	0.003	0.997
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.997	0.003	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.000	0.003	0.997
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.997	0.003	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	0.003	0.997
rs7952106 lBF = `4.30143` Chr`11` : `113,424,558`	0.997	0.003	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.997	0.003	0.000
rs17189441 lBF = `60.2526` Chr`6` : `30,758,555`	0.996	0.004	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.996	0.004	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.996	0.004	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.996	0.004	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.996	0.004	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.996	0.004	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.996	0.004	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.996	0.004	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.996	0.004	0.000
rs1116547 lBF = `2.6843` Chr`5` : `112,680,337`	0.000	0.004	0.996
rs4713385 lBF = `67.2423` Chr`6` : `30,787,593`	0.996	0.004	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.996	0.004	0.000
rs13405020 lBF = `2.66903` Chr`2` : `138,142,164`	0.996	0.004	0.000
rs8192585 lBF = `18.7691` Chr`6` : `32,188,823`	0.996	0.004	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.996	0.004	0.000
rs12660860 lBF = `57.1912` Chr`6` : `30,764,241`	0.996	0.004	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.995	0.005	0.000
rs10905868 lBF = `2.76174` Chr`10` : `10,974,256`	0.995	0.005	0.000
rs10795130 lBF = `2.58291` Chr`10` : `4,151,121`	0.995	0.005	0.000
rs140839642 lBF = `3.78516` Chr`11` : `102,728,812`	0.995	0.005	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.995	0.005	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.995	0.005	0.000
rs7749924 lBF = `49.4897` Chr`6` : `30,797,991`	0.995	0.005	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.995	0.005	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.995	0.005	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.995	0.005	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.995	0.005	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.995	0.005	0.000
rs17361668 lBF = `3.61942` Chr`11` : `102,720,344`	0.995	0.005	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.995	0.005	0.000
rs72981683 lBF = `3.40708` Chr`11` : `102,722,614`	0.995	0.005	0.000
rs2535323 lBF = `61.2993` Chr`6` : `30,718,180`	0.995	0.005	0.000
rs72981684 lBF = `3.49192` Chr`11` : `102,724,211`	0.994	0.006	0.000
rs72983508 lBF = `3.47867` Chr`11` : `102,727,409`	0.994	0.006	0.000
rs737693 lBF = `3.47867` Chr`11` : `102,726,142`	0.994	0.006	0.000
rs72981680 lBF = `3.48351` Chr`11` : `102,721,859`	0.994	0.006	0.000
rs72981675 lBF = `3.47992` Chr`11` : `102,721,251`	0.994	0.006	0.000
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.994	0.006	0.000
rs28381684 lBF = `3.482` Chr`11` : `102,737,192`	0.994	0.006	0.000
rs72981698 lBF = `3.46896` Chr`11` : `102,726,540`	0.994	0.006	0.000
rs72983513 lBF = `3.46329` Chr`11` : `102,728,985`	0.994	0.006	0.000
rs114176245 lBF = `3.47129` Chr`11` : `102,719,534`	0.994	0.006	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.994	0.006	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.994	0.006	0.000
rs4947289 lBF = `67.147` Chr`6` : `30,791,409`	0.994	0.006	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.994	0.006	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.994	0.006	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.994	0.006	0.000
rs7751869 lBF = `67.7379` Chr`6` : `30,793,314`	0.994	0.006	0.000
rs17368659 lBF = `3.2217` Chr`11` : `102,742,761`	0.994	0.006	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.006	0.994
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.994	0.006	0.000
rs2514218 lBF = `4.11351` Chr`11` : `113,392,994`	0.000	0.006	0.994
rs4713382 lBF = `67.8495` Chr`6` : `30,787,175`	0.994	0.006	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.994	0.006	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.994	0.006	0.000
rs17368582 lBF = `3.25453` Chr`11` : `102,738,075`	0.994	0.006	0.000
rs10223421 lBF = `106.956` Chr`6` : `31,390,055`	0.994	0.006	0.000
rs4713383 lBF = `67.8917` Chr`6` : `30,787,241`	0.994	0.006	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.994	0.006	0.000
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.993	0.007	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.993	0.007	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.993	0.007	0.000
rs114123372 lBF = `5.07346` Chr`5` : `148,922,150`	0.993	0.007	0.000
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	0.993	0.007	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.993	0.007	0.000
rs17602038 lBF = `5.28663` Chr`11` : `113,364,691`	0.000	0.007	0.993
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.993	0.007	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.993	0.007	0.000
rs2268361 lBF = `2.13303` Chr`2` : `49,201,612`	0.993	0.007	0.000
rs2516511 lBF = `99.3774` Chr`6` : `31,448,625`	0.993	0.007	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.992	0.008	0.000
rs2276109 lBF = `2.87352` Chr`11` : `102,745,791`	0.992	0.008	0.000
rs116187470 lBF = `4.21606` Chr`11` : `102,717,641`	0.992	0.008	0.000
rs4953076 lBF = `2.94502` Chr`2` : `44,480,950`	0.992	0.008	0.000
rs680753 lBF = `3.47044` Chr`11` : `102,711,581`	0.992	0.008	0.000
rs17368814 lBF = `2.93354` Chr`11` : `102,748,695`	0.992	0.008	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.992	0.008	0.000
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.992	0.008	0.000
rs476762 lBF = `3.26344` Chr`11` : `102,710,707`	0.992	0.008	0.000
rs566125 lBF = `3.22901` Chr`11` : `102,710,471`	0.992	0.008	0.000
rs4713380 lBF = `67.7421` Chr`6` : `30,785,273`	0.992	0.008	0.000
rs563096 lBF = `2.966` Chr`11` : `102,707,366`	0.991	0.009	0.000
rs605949 lBF = `2.966` Chr`11` : `102,705,747`	0.991	0.009	0.000
rs569444 lBF = `2.966` Chr`11` : `102,707,305`	0.991	0.009	0.000
rs655403 lBF = `2.92377` Chr`11` : `102,708,507`	0.991	0.009	0.000
rs593698 lBF = `2.96088` Chr`11` : `102,704,476`	0.991	0.009	0.000
rs646910 lBF = `2.95877` Chr`11` : `102,709,522`	0.991	0.009	0.000
rs646760 lBF = `2.95553` Chr`11` : `102,703,278`	0.991	0.009	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.991	0.009	0.000
rs2248462 lBF = `98.4899` Chr`6` : `31,446,796`	0.991	0.009	0.000
rs9295924 lBF = `65.6165` Chr`6` : `30,782,361`	0.991	0.009	0.000
rs206776 lBF = `62.7462` Chr`6` : `32,953,711`	0.991	0.009	0.000
rs72983521 lBF = `3.48687` Chr`11` : `102,730,033`	0.991	0.009	0.000
rs2516509 lBF = `97.2534` Chr`6` : `31,449,994`	0.991	0.009	0.000
rs4713389 lBF = `67.6068` Chr`6` : `30,790,604`	0.991	0.009	0.000
rs2516513 lBF = `97.6551` Chr`6` : `31,447,588`	0.991	0.009	0.000
rs492146 lBF = `3.58103` Chr`6` : `52,835,895`	0.000	0.009	0.991
rs2516422 lBF = `97.9547` Chr`6` : `31,449,269`	0.991	0.009	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.990	0.010	0.000
rs28780111 lBF = `56.9985` Chr`6` : `30,720,311`	0.990	0.010	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.990	0.010	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.989	0.011	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.989	0.011	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.989	0.011	0.000
rs9380198 lBF = `67.7938` Chr`6` : `30,785,886`	0.989	0.011	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.989	0.011	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.989	0.011	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.989	0.011	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.989	0.011	0.000
rs525592 lBF = `2.20229` Chr`11` : `68,195,104`	0.000	0.011	0.989
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.989	0.011	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.989	0.011	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.988	0.012	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.988	0.012	0.000
rs294588 lBF = `2.09432` Chr`5` : `162,998,515`	0.988	0.012	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.988	0.012	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.988	0.012	0.000
rs494963 lBF = `2.30768` Chr`11` : `102,715,826`	0.988	0.012	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.987	0.013	0.000
rs4947290 lBF = `66.1574` Chr`6` : `30,794,405`	0.987	0.013	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.987	0.013	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.987	0.013	0.000
rs12345511 lBF = `5.5265` Chr`9` : `112,645,299`	0.987	0.013	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.987	0.013	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.987	0.013	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.987	0.013	0.000
rs2296342 lBF = `7.21458` Chr`6` : `33,627,077`	0.987	0.013	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.987	0.013	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.986	0.014	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.986	0.014	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.986	0.014	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.986	0.014	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.985	0.015	0.000
rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.985	0.015	0.000
rs2523705 lBF = `98.6424` Chr`6` : `31,451,680`	0.985	0.015	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.985	0.015	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.015	0.985
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.985	0.015	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.984	0.016	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.984	0.016	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.984	0.016	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.984	0.016	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.983	0.017	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.983	0.017	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.983	0.017	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.983	0.017	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.983	0.017	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.983	0.017	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.983	0.017	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.982	0.018	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.982	0.018	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.982	0.018	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.982	0.018	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.982	0.018	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.981	0.019	0.000
rs2968614 lBF = `5.2935` Chr`2` : `36,157,207`	0.981	0.019	0.000
rs2066363 lBF = `1.68715` Chr`1` : `82,237,577`	0.000	0.019	0.981
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.980	0.020	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	0.020	0.980
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.980	0.020	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.980	0.020	0.000
rs114004994 lBF = `20.3162` Chr`6` : `32,138,617`	0.980	0.020	0.000
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.979	0.021	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.979	0.021	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.979	0.021	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.978	0.022	0.000
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rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.978	0.022	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.978	0.022	0.000
rs9378109 lBF = `68.7722` Chr`6` : `30,774,474`	0.977	0.023	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.977	0.023	0.000
rs9368644 lBF = `68.2656` Chr`6` : `30,797,083`	0.977	0.023	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.977	0.023	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.977	0.023	0.000
rs45599947 lBF = `10.213` Chr`14` : `75,230,953`	0.977	0.023	0.000
rs495089 lBF = `38.6728` Chr`6` : `32,197,463`	0.977	0.023	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.977	0.023	0.000
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rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.976	0.024	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.976	0.024	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.976	0.024	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.975	0.025	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.975	0.025	0.000
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rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.974	0.026	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.974	0.026	0.000
rs12122440 lBF = `2.18554` Chr`1` : `76,477,207`	0.974	0.026	0.000
rs7751505 lBF = `128.813` Chr`6` : `31,360,255`	0.974	0.026	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.974	0.026	0.000
rs17368890 lBF = `2.18377` Chr`11` : `102,752,600`	0.974	0.026	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.974	0.026	0.000
rs2281816 lBF = `11.9496` Chr`6` : `33,772,335`	0.000	0.026	0.974
rs7654538 lBF = `10.9631` Chr`4` : `151,201,635`	0.973	0.027	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.973	0.027	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.973	0.027	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.973	0.027	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.973	0.027	0.000
rs1612141 lBF = `2.4558` Chr`14` : `41,702,598`	0.000	0.027	0.973
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.973	0.027	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.973	0.027	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.972	0.028	0.000
rs12761761 lBF = `1.99853` Chr`10` : `133,775,375`	0.972	0.028	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.972	0.028	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.972	0.028	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.972	0.028	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.971	0.029	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.971	0.029	0.000
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rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.971	0.029	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.971	0.029	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.971	0.029	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.971	0.029	0.000
rs10947207 lBF = `128.647` Chr`6` : `31,361,485`	0.971	0.029	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.971	0.029	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.970	0.030	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.970	0.030	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.970	0.030	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.970	0.030	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.970	0.030	0.000
rs4549702 lBF = `1.61489` Chr`7` : `147,901,016`	0.969	0.031	0.000
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rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.969	0.031	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.969	0.031	0.000
rs4846835 lBF = `2.38058` Chr`1` : `230,281,156`	0.000	0.031	0.969
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.969	0.031	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.969	0.031	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.969	0.031	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.969	0.031	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.969	0.031	0.000
rs17403780 lBF = `1.93243` Chr`1` : `191,939,788`	0.968	0.032	0.000
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rs61493282 lBF = `2.16805` Chr`11` : `102,754,868`	0.968	0.032	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.968	0.032	0.000
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rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.967	0.033	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.967	0.033	0.000
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rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.967	0.033	0.000
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rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.967	0.033	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.967	0.033	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.967	0.033	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.967	0.033	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.967	0.033	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.967	0.033	0.000
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rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.966	0.034	0.000
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rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.966	0.034	0.000
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rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.965	0.035	0.000
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rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.965	0.035	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.965	0.035	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.965	0.035	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.965	0.035	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.964	0.036	0.000
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rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.963	0.037	0.000
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rs5745709 lBF = `2.23855` Chr`7` : `81,349,412`	0.961	0.039	0.000
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rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.959	0.041	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.959	0.041	0.000
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rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.957	0.043	0.000
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rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.953	0.047	0.000
rs1208377 lBF = `17.1159` Chr`1` : `169,191,860`	0.953	0.047	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.953	0.047	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.953	0.047	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.953	0.047	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.953	0.047	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.953	0.047	0.000
rs2734839 lBF = `1.4984` Chr`11` : `113,286,490`	0.000	0.047	0.953
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.953	0.047	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.953	0.047	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.953	0.047	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.953	0.047	0.000
rs4587207 lBF = `66.296` Chr`6` : `30,766,945`	0.953	0.047	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.952	0.048	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.952	0.048	0.000
rs150986675 lBF = `1.6596` Chr`11` : `102,777,303`	0.952	0.048	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.952	0.048	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.952	0.048	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.952	0.048	0.000
rs9391696 lBF = `65.5311` Chr`6` : `30,778,786`	0.952	0.048	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.048	0.952
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.951	0.049	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.951	0.049	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.951	0.049	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.951	0.049	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.951	0.049	0.000
rs1020820 lBF = `1.40595` Chr`3` : `53,762,569`	0.000	0.049	0.951
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.951	0.049	0.000
rs114628044 lBF = `19.8572` Chr`6` : `32,133,639`	0.950	0.050	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.950	0.050	0.000
rs4711268 lBF = `127.811` Chr`6` : `31,354,504`	0.950	0.050	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.950	0.050	0.000
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.949	0.051	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.949	0.051	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.949	0.051	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.949	0.051	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.949	0.051	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.949	0.051	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.949	0.051	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.948	0.052	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	0.052	0.948
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.948	0.052	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.948	0.052	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.948	0.052	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.948	0.052	0.000
rs13180087 lBF = `2.35122` Chr`5` : `45,265,768`	0.948	0.052	0.000
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.948	0.052	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.947	0.053	0.000
rs553542 lBF = `1.30739` Chr`11` : `102,701,376`	0.000	0.053	0.947
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.947	0.053	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.947	0.053	0.000
rs437179 lBF = `234.386` Chr`6` : `31,929,014`	0.000	0.053	0.947
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.946	0.054	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.946	0.054	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.946	0.054	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.946	0.054	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.946	0.054	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.946	0.054	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.946	0.054	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.946	0.054	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.946	0.054	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.946	0.054	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.946	0.054	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.945	0.055	0.000
rs2526385 lBF = `5.49004` Chr`3` : `50,181,135`	0.945	0.055	0.000
rs17493811 lBF = `20.4967` Chr`6` : `32,145,399`	0.945	0.055	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.945	0.055	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.945	0.055	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.945	0.055	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.944	0.056	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.944	0.056	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.944	0.056	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.944	0.056	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.944	0.056	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.944	0.056	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.944	0.056	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.944	0.056	0.000
rs7741091 lBF = `119.854` Chr`6` : `31,352,631`	0.944	0.056	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.944	0.056	0.000
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.944	0.056	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.943	0.057	0.000
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.943	0.057	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.943	0.057	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.943	0.057	0.000
rs76881534 lBF = `9.28607` Chr`6` : `74,895,892`	0.943	0.057	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.943	0.057	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.942	0.058	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.942	0.058	0.000
rs66862067 lBF = `127.851` Chr`6` : `31,363,606`	0.942	0.058	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.942	0.058	0.000
rs599083 lBF = `1.53679` Chr`11` : `68,192,346`	0.000	0.059	0.941
rs2621322 lBF = `79.2896` Chr`6` : `32,788,712`	0.941	0.059	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.941	0.059	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.940	0.060	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.940	0.060	0.000
rs12477314 lBF = `1.1954` Chr`2` : `239,877,148`	0.940	0.060	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 X0286

log Bayes Factor = 30.6663

contains 3 variants

1.0000

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9993

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5915

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5408

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

1.0000

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

1.0000

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

1.0000

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

1.0000

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

1.0000

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

1.0000

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

1.0000

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9999

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9999

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9999

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9999

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9999

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9998

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9998

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9998

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9998

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9996

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9996

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9995

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9993

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9993

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9992

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9991

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9990

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9985

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9985

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9983

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9979

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9979

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9975

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9974

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9965

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9964

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9959

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9954

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9949

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9947

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9942

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9939

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9935

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9932

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9929

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9916

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9904

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9886

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9882

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9879

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9878

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.9874

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9872

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9869

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9864

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9860

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9856

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9854

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9840

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9825

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9816

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9806

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9790

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9787

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9785

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9775

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9765

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9746

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9692

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9688

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9677

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.9639

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9619

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9617

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9614

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9588

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9580

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9554

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9538

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9491

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9460

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9455

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9436

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9431

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9425

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9372

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9361

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9357

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9315

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.9267

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9259

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9245

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9198

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9192

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9184

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9172

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9134

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9127

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9028

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9028

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8931

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.8793

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8792

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8788

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8759

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8663

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8606

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8561

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8465

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8352

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8240

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8123

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8066

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8060

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8043

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7974

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7949

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7906

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7818

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7702

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7637

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7622

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7539

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7511

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7380

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7222

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7162

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7130

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7087

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6990

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6796

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6780

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6724

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6716

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.6697

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6607

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6372

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6257

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6242

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6132

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6104

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5976

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5951

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5892

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5764

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5588

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5521

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5485

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5462

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5278

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5235

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5159

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5092

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4562

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4284

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4269

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4179

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4002

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3968

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3923

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3914

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3905

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3869

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3727

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3420

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3225

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3059

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2945

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2837

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2341

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2330

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1992

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1834

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1794

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1781

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1671

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1658

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1604

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1577

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1538

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1533

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1462

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1459

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1405

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1279

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1154

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1153

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1147

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1133

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0951

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0775

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0762

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0733

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.0716

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0710

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0638

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0585

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0549

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`)