TreeWAS – [T49] Poisoning by topical agents primarily affecting skin and mucous membrane and by ophthalmological, otorhinolarygological and dental drugs

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
rs11580034 lBF = `5.80331` Chr`1` : `157,910,551`	0.826	0.174	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.807	0.193	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.799	0.201	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.799	0.201	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	0.201	0.799
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.796	0.204	0.000
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.795	0.205	0.000
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.794	0.206	0.000
rs114123372 lBF = `5.07346` Chr`5` : `148,922,150`	0.790	0.210	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.787	0.213	0.000
rs3121290 lBF = `5.0484` Chr`10` : `30,207,685`	0.780	0.220	0.000
rs1449984 lBF = `1.35649` Chr`2` : `23,414,651`	0.773	0.227	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	0.232	0.768
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.762	0.238	0.000
rs3749574 lBF = `21.4834` Chr`4` : `151,207,127`	0.760	0.240	0.000
rs12345511 lBF = `5.5265` Chr`9` : `112,645,299`	0.758	0.242	0.000
rs6817154 lBF = `20.7823` Chr`4` : `151,206,319`	0.757	0.243	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.750	0.250	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	0.749	0.251	0.000
rs17102423 lBF = `1.06595` Chr`14` : `65,604,728`	0.741	0.259	0.000
rs2296342 lBF = `7.21458` Chr`6` : `33,627,077`	0.739	0.260	0.000
rs318651 lBF = `5.70056` Chr`7` : `34,231,380`	0.739	0.261	0.000
rs5745709 lBF = `2.23855` Chr`7` : `81,349,412`	0.733	0.267	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.731	0.268	0.000
rs294588 lBF = `2.09432` Chr`5` : `162,998,515`	0.730	0.270	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.270	0.730
rs2968614 lBF = `5.2935` Chr`2` : `36,157,207`	0.729	0.271	0.000
rs62379838 lBF = `1.72265` Chr`5` : `120,102,028`	0.727	0.273	0.000
rs4549702 lBF = `1.61489` Chr`7` : `147,901,016`	0.722	0.278	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	0.278	0.722
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.722	0.278	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.280	0.720
rs7803069 lBF = `5.28469` Chr`7` : `34,238,688`	0.718	0.282	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.717	0.283	0.000
rs7654538 lBF = `10.9631` Chr`4` : `151,201,635`	0.717	0.283	0.000
rs10947095 lBF = `89.9123` Chr`6` : `30,757,575`	0.717	0.283	0.000
rs10947091 lBF = `88.9982` Chr`6` : `30,747,216`	0.717	0.283	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.717	0.283	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.717	0.283	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.717	0.283	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.717	0.283	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.717	0.283	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.717	0.283	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.717	0.283	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.717	0.283	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.717	0.283	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.717	0.283	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.717	0.283	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.717	0.283	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.717	0.283	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.717	0.283	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.717	0.283	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.717	0.283	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.717	0.283	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.717	0.283	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.717	0.283	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.717	0.283	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.717	0.283	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.717	0.283	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.717	0.283	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.283	0.717
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.717	0.283	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.717	0.283	0.000
rs4666563 lBF = `8.16748` Chr`2` : `19,948,952`	0.717	0.283	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.717	0.283	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.717	0.283	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.717	0.283	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.717	0.283	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.717	0.283	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.717	0.283	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.717	0.283	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.717	0.283	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.717	0.283	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.717	0.283	0.000
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.717	0.283	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.717	0.283	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.717	0.283	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.717	0.283	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.717	0.283	0.000
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.717	0.283	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.717	0.283	0.000
rs11097431 lBF = `6.02195` Chr`4` : `95,506,842`	0.717	0.283	0.000
rs10008980 lBF = `5.86369` Chr`4` : `189,258,322`	0.717	0.283	0.000
rs17336353 lBF = `5.80747` Chr`4` : `95,516,516`	0.717	0.283	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	0.283	0.717
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.717	0.283	0.000
rs141727220 lBF = `5.77406` Chr`4` : `134,428,359`	0.717	0.283	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.717	0.283	0.000
rs45451594 lBF = `5.69523` Chr`10` : `5,658,757`	0.717	0.283	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.717	0.283	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.717	0.283	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	0.717	0.283	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.717	0.283	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.717	0.283	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.717	0.283	0.000
rs549114 lBF = `5.53235` Chr`1` : `94,534,354`	0.717	0.283	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.717	0.283	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.717	0.283	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.717	0.283	0.000
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.717	0.283	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.717	0.283	0.000
rs11758688 lBF = `88.8773` Chr`6` : `30,758,348`	0.717	0.283	0.000
rs4711229 lBF = `88.2579` Chr`6` : `30,756,744`	0.717	0.283	0.000
rs6900029 lBF = `88.2259` Chr`6` : `30,756,596`	0.717	0.283	0.000
rs16897899 lBF = `88.0824` Chr`6` : `30,755,744`	0.717	0.283	0.000
rs4713367 lBF = `87.4605` Chr`6` : `30,756,822`	0.717	0.283	0.000
rs16897900 lBF = `86.7495` Chr`6` : `30,755,893`	0.717	0.283	0.000
rs28780116 lBF = `86.3134` Chr`6` : `30,755,668`	0.717	0.283	0.000
rs13201769 lBF = `86.2755` Chr`6` : `30,756,066`	0.717	0.283	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.717	0.283	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.717	0.283	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.717	0.283	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.717	0.283	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.717	0.283	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.717	0.283	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.717	0.283	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.717	0.283	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.717	0.283	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.717	0.283	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.717	0.283	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.717	0.283	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.717	0.283	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.717	0.283	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.717	0.283	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.717	0.283	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.717	0.283	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.717	0.283	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.717	0.283	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.717	0.283	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.717	0.283	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.283	0.717
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.717	0.283	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.717	0.283	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.717	0.283	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.717	0.283	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.717	0.283	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.717	0.283	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.717	0.283	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.717	0.283	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.717	0.283	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.717	0.283	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.717	0.283	0.000
rs6920124 lBF = `88.2531` Chr`6` : `30,756,593`	0.717	0.283	0.000
rs12527415 lBF = `86.4047` Chr`6` : `30,754,540`	0.717	0.283	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.717	0.283	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.717	0.283	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.717	0.283	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.717	0.283	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.717	0.283	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.717	0.283	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.717	0.283	0.000
rs9468830 lBF = `85.8141` Chr`6` : `30,749,712`	0.717	0.283	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.717	0.283	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.717	0.283	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.717	0.283	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.717	0.283	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.717	0.283	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.717	0.283	0.000
rs36063014 lBF = `5.33782` Chr`3` : `169,302,504`	0.717	0.283	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.717	0.283	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.717	0.283	0.000
rs28780119 lBF = `87.2027` Chr`6` : `30,755,863`	0.717	0.283	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.717	0.283	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.717	0.283	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.717	0.283	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.717	0.283	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.717	0.283	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.717	0.283	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.717	0.283	0.000
rs116187470 lBF = `4.21606` Chr`11` : `102,717,641`	0.717	0.283	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.717	0.283	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.717	0.283	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.717	0.283	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.717	0.283	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.717	0.283	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.717	0.283	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.717	0.283	0.000
rs17013679 lBF = `8.97199` Chr`1` : `209,084,801`	0.717	0.283	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.717	0.283	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.717	0.283	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.717	0.283	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.717	0.283	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.717	0.283	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.717	0.283	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.717	0.283	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.717	0.283	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.717	0.283	0.000
rs3812497 lBF = `6.67685` Chr`9` : `140,611,436`	0.717	0.283	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.717	0.283	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.717	0.283	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.717	0.283	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.717	0.283	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.717	0.283	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.717	0.283	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.717	0.283	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.717	0.283	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.717	0.283	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.717	0.283	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.717	0.283	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.717	0.283	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.717	0.283	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.717	0.283	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.717	0.283	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.717	0.283	0.000
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rs41270464 lBF = `20.6916` Chr`6` : `32,148,724`	0.716	0.284	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.716	0.284	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.716	0.284	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.716	0.284	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.716	0.284	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.716	0.284	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.716	0.284	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.716	0.284	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.716	0.284	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.716	0.284	0.000
rs139659694 lBF = `6.68133` Chr`11` : `51,108,240`	0.716	0.284	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.716	0.284	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.716	0.284	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.716	0.284	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.716	0.284	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.716	0.284	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.716	0.284	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.716	0.284	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.716	0.284	0.000
rs12272917 lBF = `5.57337` Chr`11` : `68,263,370`	0.000	0.284	0.716
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.716	0.284	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.716	0.284	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.716	0.284	0.000
rs2523705 lBF = `98.6424` Chr`6` : `31,451,680`	0.716	0.284	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.716	0.284	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.716	0.284	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.716	0.284	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.716	0.284	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.716	0.284	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.716	0.284	0.000
rs3828923 lBF = `31.9633` Chr`6` : `29,590,715`	0.715	0.284	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.715	0.284	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.715	0.284	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.715	0.284	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.715	0.284	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.715	0.284	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.715	0.284	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.715	0.284	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.715	0.284	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.715	0.284	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.715	0.284	0.000
rs77622929 lBF = `6.08434` Chr`11` : `50,634,946`	0.715	0.284	0.000
rs2621322 lBF = `79.2896` Chr`6` : `32,788,712`	0.715	0.284	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.715	0.284	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.715	0.285	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.715	0.285	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.715	0.285	0.000
rs4713385 lBF = `67.2423` Chr`6` : `30,787,593`	0.715	0.285	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.715	0.285	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.715	0.285	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.715	0.285	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.715	0.285	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.715	0.285	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.715	0.285	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.715	0.285	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.715	0.285	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.715	0.285	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.715	0.285	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.715	0.285	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.715	0.285	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.715	0.285	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.715	0.285	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.715	0.285	0.000
rs1116547 lBF = `2.6843` Chr`5` : `112,680,337`	0.000	0.285	0.715
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.715	0.285	0.000
rs34601711 lBF = `5.44565` Chr`7` : `33,959,704`	0.715	0.285	0.000
rs2535323 lBF = `61.2993` Chr`6` : `30,718,180`	0.715	0.285	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.715	0.285	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.715	0.285	0.000
rs10905868 lBF = `2.76174` Chr`10` : `10,974,256`	0.715	0.285	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.715	0.285	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.715	0.285	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.715	0.285	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.715	0.285	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.715	0.285	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.715	0.285	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.715	0.285	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.715	0.285	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.715	0.285	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.715	0.285	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.715	0.285	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.715	0.285	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.715	0.285	0.000
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	0.715	0.285	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.715	0.285	0.000
rs11534530 lBF = `5.03182` Chr`11` : `54,995,116`	0.715	0.285	0.000
rs13405020 lBF = `2.66903` Chr`2` : `138,142,164`	0.715	0.285	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.715	0.285	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.715	0.285	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.715	0.285	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.715	0.285	0.000
rs7715811 lBF = `2.69078` Chr`5` : `13,769,974`	0.715	0.285	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.715	0.285	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.715	0.285	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7169

Cluster X0286

log Bayes Factor = 30.6663

contains 3 variants

0.6875

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5226

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4021

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.9969

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8278

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8081

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.7666

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.7626

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7169

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7169

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7169

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7169

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7169

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7169

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7169

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7169

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7169

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7169

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7169

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7169

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7169

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7169

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7169

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7169

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7169

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7169

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7169

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7169

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7169

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7169

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7169

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7169

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7169

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7169

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7169

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7169

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7169

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7169

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7169

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7169

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7169

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7169

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7169

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7168

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7168

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7168

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7168

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7168

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7168

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7168

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7168

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7168

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7168

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7168

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7167

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7167

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7167

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7167

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7167

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7166

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7166

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7165

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7165

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7164

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7163

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7162

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7161

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7161

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7160

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7160

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7159

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7158

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7158

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7157

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7153

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7150

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7145

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7144

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7143

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7142

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7139

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7138

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7133

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7131

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7129

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7126

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7122

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7122

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7117

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7113

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7112

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7085

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7083

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7074

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7063

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7062

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7046

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7030

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6994

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6984

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6963

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6955

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6948

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6948

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.6911

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6902

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6853

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6831

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6802

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6795

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6793

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6747

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6681

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6615

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6533

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6354

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6223

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5992

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.5969

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5947

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5644

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5632

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5537

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5473

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5425

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5351

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5227

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5079

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5070

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5034

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4987

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4987

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4873

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4747

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4716

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4320

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4318

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4245

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4158

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4055

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3998

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3766

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3555

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3261

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.2926

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2842

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2644

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2576

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1808

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1690

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.1626

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1615

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1498

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1332

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1174

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1161

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1068

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0692

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0570

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0536

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`)