TreeWAS – [Y83] Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of the procedure

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
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	1.000	0.000	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	1.000	0.000	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	1.000	0.000	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	1.000	0.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.999	0.001	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.999	0.001	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.999	0.001	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.999	0.001	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.999	0.001	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.999	0.001	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.999	0.001	0.000
rs77101722 lBF = `14.3457` Chr`2` : `126,788,300`	0.999	0.001	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.998	0.002	0.000
rs73007766 lBF = `9.30092` Chr`6` : `152,606,194`	0.998	0.002	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.998	0.002	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.998	0.002	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.998	0.002	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.997	0.003	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.997	0.003	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.997	0.003	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.997	0.003	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.997	0.003	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.997	0.003	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.996	0.004	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.996	0.004	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.996	0.004	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.995	0.005	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.994	0.006	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.994	0.006	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.994	0.006	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.994	0.006	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.994	0.006	0.000
rs73336408 lBF = `8.76344` Chr`21` : `23,343,776`	0.993	0.007	0.000
rs79616469 lBF = `11.2572` Chr`2` : `48,875,108`	0.993	0.007	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.993	0.007	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.993	0.007	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.993	0.007	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.993	0.007	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.992	0.008	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.992	0.008	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.992	0.008	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.992	0.008	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.992	0.008	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.991	0.009	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.991	0.009	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.991	0.009	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.990	0.010	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.990	0.010	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.990	0.010	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.990	0.010	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.990	0.010	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.990	0.010	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.990	0.010	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.990	0.010	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.990	0.010	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.990	0.010	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.989	0.011	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.989	0.011	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.989	0.011	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.988	0.012	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.988	0.012	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.988	0.012	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.987	0.013	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.986	0.014	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.986	0.014	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.986	0.014	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.986	0.014	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.986	0.014	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.986	0.014	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.985	0.015	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.985	0.015	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.985	0.015	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.985	0.015	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.985	0.015	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.985	0.015	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.985	0.015	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.985	0.015	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.985	0.015	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.985	0.015	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.985	0.015	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.984	0.016	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.984	0.016	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.984	0.016	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.984	0.016	0.000
rs7089876 lBF = `5.76138` Chr`10` : `134,626,256`	0.984	0.016	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.984	0.016	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.984	0.016	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.983	0.017	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.981	0.019	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.980	0.020	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.980	0.020	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.980	0.020	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.980	0.020	0.000
rs79143957 lBF = `12.6617` Chr`3` : `23,125,989`	0.979	0.021	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.979	0.021	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.978	0.022	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.977	0.023	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.977	0.023	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.977	0.023	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.977	0.023	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.976	0.024	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.976	0.024	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.976	0.024	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.975	0.025	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.975	0.025	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.975	0.025	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.974	0.026	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.974	0.026	0.000
rs79570361 lBF = `48.293` Chr`6` : `161,170,855`	0.973	0.027	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.973	0.027	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.973	0.027	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.972	0.028	0.000
rs116495174 lBF = `16.6303` Chr`5` : `92,005,876`	0.972	0.028	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.972	0.028	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.972	0.028	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.971	0.029	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.971	0.029	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.970	0.030	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.970	0.030	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.970	0.030	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.970	0.030	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.970	0.030	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.970	0.030	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.970	0.030	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.969	0.031	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.969	0.031	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.969	0.031	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.969	0.031	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.968	0.032	0.000
rs116738814 lBF = `21.0352` Chr`6` : `31,326,566`	0.967	0.033	0.000
rs74695365 lBF = `20.1023` Chr`6` : `33,991,692`	0.967	0.033	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.967	0.033	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.967	0.033	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.967	0.033	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.966	0.034	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.966	0.034	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.966	0.034	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.966	0.034	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.966	0.034	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.966	0.034	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.966	0.034	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.965	0.035	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.964	0.036	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.964	0.036	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.963	0.037	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.963	0.037	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.963	0.037	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.963	0.037	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.963	0.037	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.962	0.038	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.961	0.039	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.960	0.040	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.960	0.040	0.000
rs17086702 lBF = `3.80311` Chr`6` : `156,150,733`	0.960	0.040	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.960	0.040	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.959	0.041	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.958	0.042	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.958	0.042	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.958	0.042	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.958	0.042	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.958	0.042	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.958	0.042	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.957	0.043	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.957	0.043	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.957	0.043	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.956	0.044	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.956	0.044	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.956	0.044	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.044	0.956
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.956	0.044	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.956	0.044	0.000
rs116269252 lBF = `19.828` Chr`6` : `31,326,790`	0.955	0.045	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.955	0.045	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.954	0.046	0.000
rs12213831 lBF = `20.0798` Chr`6` : `31,380,601`	0.953	0.047	0.000
rs34441152 lBF = `19.4411` Chr`6` : `31,410,072`	0.953	0.047	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.952	0.048	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.952	0.048	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.952	0.048	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.952	0.048	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.952	0.048	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.951	0.049	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.951	0.049	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.951	0.049	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.951	0.049	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.951	0.049	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.951	0.049	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.950	0.050	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.950	0.050	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.950	0.050	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.948	0.052	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.948	0.052	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.947	0.053	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.946	0.054	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.945	0.055	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.945	0.055	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.945	0.055	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.945	0.055	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.945	0.055	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.944	0.056	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.944	0.056	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.943	0.057	0.000
rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.942	0.058	0.000
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rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.941	0.059	0.000
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rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.922	0.078	0.000
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rs74925736 lBF = `13.7815` Chr`5` : `150,711,917`	0.871	0.129	0.000
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rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.870	0.130	0.000
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rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.870	0.130	0.000
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rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.868	0.132	0.000
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rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.852	0.148	0.000
rs117486971 lBF = `14.5192` Chr`14` : `76,871,420`	0.852	0.148	0.000
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rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.851	0.149	0.000
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rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.850	0.150	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.850	0.150	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.850	0.150	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.850	0.150	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.849	0.151	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.849	0.151	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.848	0.152	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.848	0.152	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.848	0.152	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.846	0.154	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.845	0.155	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.844	0.156	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.842	0.158	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.842	0.158	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.841	0.159	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.841	0.159	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.841	0.159	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.840	0.160	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.840	0.160	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.840	0.160	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.840	0.160	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.840	0.160	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.839	0.161	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.839	0.161	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.838	0.162	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.838	0.162	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.838	0.162	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.838	0.162	0.000
rs36001438 lBF = `20.6978` Chr`6` : `31,186,378`	0.837	0.163	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.837	0.163	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.836	0.164	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.835	0.165	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.834	0.166	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.834	0.166	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.834	0.166	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.834	0.166	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.833	0.167	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.833	0.167	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.833	0.167	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.833	0.167	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.832	0.168	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.829	0.171	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.829	0.171	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.828	0.172	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.828	0.172	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.827	0.173	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.827	0.173	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.826	0.174	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.825	0.175	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.824	0.176	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.824	0.176	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.822	0.178	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.822	0.178	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.822	0.178	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.822	0.178	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.822	0.178	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.822	0.178	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.821	0.179	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.820	0.180	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.820	0.180	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.819	0.181	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.819	0.181	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.818	0.182	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.818	0.182	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.817	0.183	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.817	0.183	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.817	0.183	0.000
rs61813875 lBF = `3.16834` Chr`1` : `152,536,650`	0.817	0.183	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.817	0.183	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.816	0.184	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.816	0.184	0.000
rs2678912 lBF = `7.34991` Chr`2` : `58,145,973`	0.816	0.184	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.816	0.184	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.815	0.185	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.814	0.186	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.814	0.186	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.813	0.187	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.813	0.187	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.811	0.189	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.811	0.189	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.811	0.189	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.810	0.190	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.810	0.190	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.809	0.191	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.809	0.191	0.000
rs75578006 lBF = `5.03035` Chr`1` : `21,346,104`	0.808	0.192	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.808	0.192	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.807	0.193	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.807	0.193	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.806	0.194	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.805	0.195	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.805	0.195	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.804	0.196	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.804	0.196	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.804	0.196	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.804	0.196	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.804	0.196	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.803	0.197	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.802	0.198	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.9563

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2291

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0605

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9999

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9998

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9998

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9997

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9997

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9996

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9995

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9994

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9989

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9982

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9980

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9963

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9960

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9959

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9947

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9940

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9918

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9904

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9875

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9854

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9774

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9753

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9753

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9711

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9700

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9687

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9667

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9527

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9519

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9482

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9439

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9362

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9336

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9306

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9282

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9144

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8959

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8879

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8843

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8788

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8352

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7908

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7357

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6979

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6896

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6773

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6712

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6219

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5286

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5205

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5183

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4567

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4303

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4300

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4295

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3917

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3448

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3351

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3304

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3213

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2746

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2465

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2439

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2320

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2216

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2152

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2120

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2042

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1974

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1867

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1818

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1767

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1759

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1752

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1604

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1574

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1522

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1407

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1218

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1182

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1119

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1013

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0870

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0803

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0775

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0756

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0716

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0608

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0562

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0538

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0525

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`)