TreeWAS – [T43.0] Tricyclic and tetracyclic antidepressants

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
rs1897767 lBF = `5.8667` Chr`4` : `179,540,613`	0.000	0.006	0.994
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.989	0.011	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.989	0.011	0.000
rs367836 lBF = `7.56457` Chr`6` : `52,843,131`	0.987	0.013	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.985	0.015	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	0.015	0.985
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.016	0.984
rs4953076 lBF = `2.94502` Chr`2` : `44,480,950`	0.984	0.016	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.982	0.018	0.000
rs114123372 lBF = `5.07346` Chr`5` : `148,922,150`	0.980	0.020	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	0.021	0.979
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.976	0.024	0.000
rs7240392 lBF = `5.36543` Chr`18` : `43,198,141`	0.975	0.025	0.000
rs2066363 lBF = `1.68715` Chr`1` : `82,237,577`	0.000	0.027	0.973
rs492146 lBF = `3.58103` Chr`6` : `52,835,895`	0.000	0.027	0.973
rs12272917 lBF = `5.57337` Chr`11` : `68,263,370`	0.000	0.027	0.973
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.970	0.030	0.000
rs7749924 lBF = `49.4897` Chr`6` : `30,797,991`	0.970	0.030	0.000
rs10795130 lBF = `2.58291` Chr`10` : `4,151,121`	0.968	0.032	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.968	0.032	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.967	0.033	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.966	0.034	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.963	0.037	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.963	0.037	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.962	0.038	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.961	0.039	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.960	0.040	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.960	0.040	0.000
rs11097431 lBF = `6.02195` Chr`4` : `95,506,842`	0.958	0.042	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.957	0.043	0.000
rs45451594 lBF = `5.69523` Chr`10` : `5,658,757`	0.957	0.043	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	0.044	0.956
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.955	0.045	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.955	0.045	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.955	0.045	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.951	0.049	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.951	0.049	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.951	0.049	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.950	0.050	0.000
rs8192585 lBF = `18.7691` Chr`6` : `32,188,823`	0.950	0.050	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.950	0.050	0.000
rs2296342 lBF = `7.21458` Chr`6` : `33,627,077`	0.949	0.051	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.948	0.052	0.000
rs17336353 lBF = `5.80747` Chr`4` : `95,516,516`	0.946	0.054	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.946	0.054	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.946	0.054	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.945	0.055	0.000
rs1449984 lBF = `1.35649` Chr`2` : `23,414,651`	0.944	0.056	0.000
rs45592033 lBF = `19.2031` Chr`6` : `32,162,559`	0.943	0.057	0.000
rs11217762 lBF = `6.40084` Chr`11` : `120,071,508`	0.940	0.060	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.940	0.060	0.000
rs17201763 lBF = `16.7746` Chr`6` : `32,185,246`	0.940	0.060	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.060	0.940
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.940	0.060	0.000
rs2535323 lBF = `61.2993` Chr`6` : `30,718,180`	0.940	0.060	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.940	0.060	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.940	0.060	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.940	0.060	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.939	0.061	0.000
rs2268361 lBF = `2.13303` Chr`2` : `49,201,612`	0.934	0.066	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.933	0.067	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.932	0.068	0.000
rs525592 lBF = `2.20229` Chr`11` : `68,195,104`	0.000	0.068	0.932
rs7654538 lBF = `10.9631` Chr`4` : `151,201,635`	0.932	0.068	0.000
rs12477314 lBF = `1.1954` Chr`2` : `239,877,148`	0.931	0.069	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.930	0.070	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.071	0.929
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.929	0.071	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.929	0.071	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.928	0.072	0.000
rs1067327 lBF = `1.60261` Chr`2` : `44,628,529`	0.927	0.073	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.927	0.073	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.927	0.073	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.926	0.074	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	0.924	0.076	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.924	0.076	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.923	0.077	0.000
rs2526385 lBF = `5.49004` Chr`3` : `50,181,135`	0.922	0.078	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.921	0.079	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.921	0.079	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.920	0.080	0.000
rs141727220 lBF = `5.77406` Chr`4` : `134,428,359`	0.920	0.080	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.920	0.080	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.919	0.081	0.000
rs5745709 lBF = `2.23855` Chr`7` : `81,349,412`	0.918	0.082	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.917	0.083	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.917	0.083	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.916	0.084	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.915	0.085	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.914	0.086	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.914	0.086	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.913	0.087	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.912	0.088	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.912	0.088	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.912	0.088	0.000
rs1077216 lBF = `4.32499` Chr`3` : `46,892,161`	0.912	0.088	0.000
rs4713385 lBF = `67.2423` Chr`6` : `30,787,593`	0.910	0.090	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.909	0.091	0.000
rs4947289 lBF = `67.147` Chr`6` : `30,791,409`	0.909	0.091	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.909	0.091	0.000
rs4713382 lBF = `67.8495` Chr`6` : `30,787,175`	0.908	0.092	0.000
rs7751869 lBF = `67.7379` Chr`6` : `30,793,314`	0.908	0.092	0.000
rs12660860 lBF = `57.1912` Chr`6` : `30,764,241`	0.908	0.092	0.000
rs1116547 lBF = `2.6843` Chr`5` : `112,680,337`	0.000	0.093	0.907
rs4947290 lBF = `66.1574` Chr`6` : `30,794,405`	0.907	0.093	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.906	0.094	0.000
rs4713383 lBF = `67.8917` Chr`6` : `30,787,241`	0.906	0.094	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.906	0.094	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.905	0.095	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.904	0.096	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.904	0.096	0.000
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.903	0.097	0.000
rs9295924 lBF = `65.6165` Chr`6` : `30,782,361`	0.903	0.097	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.903	0.097	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.903	0.097	0.000
rs4713389 lBF = `67.6068` Chr`6` : `30,790,604`	0.902	0.098	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.902	0.098	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.901	0.099	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.900	0.100	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.899	0.101	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.899	0.101	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.898	0.102	0.000
rs13220225 lBF = `59.7189` Chr`6` : `30,747,802`	0.896	0.104	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.896	0.104	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.896	0.104	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.895	0.105	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.895	0.105	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.894	0.106	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.894	0.106	0.000
rs4713380 lBF = `67.7421` Chr`6` : `30,785,273`	0.894	0.106	0.000
rs17189441 lBF = `60.2526` Chr`6` : `30,758,555`	0.894	0.106	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.893	0.107	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	0.107	0.893
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.892	0.108	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.891	0.109	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.890	0.110	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.890	0.110	0.000
rs28780116 lBF = `86.3134` Chr`6` : `30,755,668`	0.890	0.110	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.890	0.110	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.888	0.112	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.888	0.112	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.888	0.112	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.888	0.112	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.886	0.114	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	0.114	0.886
rs9380198 lBF = `67.7938` Chr`6` : `30,785,886`	0.885	0.115	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.885	0.115	0.000
rs337161 lBF = `2.05641` Chr`1` : `220,914,920`	0.884	0.116	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.884	0.116	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.884	0.116	0.000
rs13538 lBF = `1.58989` Chr`2` : `73,868,328`	0.884	0.116	0.000
rs10484566 lBF = `17.6082` Chr`6` : `32,835,258`	0.883	0.116	0.000
rs154982 lBF = `8.1119` Chr`6` : `32,880,545`	0.883	0.117	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.883	0.117	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.882	0.118	0.000
rs154983 lBF = `7.7235` Chr`6` : `32,880,445`	0.882	0.118	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.882	0.118	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.879	0.121	0.000
rs13422522 lBF = `3.63986` Chr`2` : `227,011,320`	0.878	0.122	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.878	0.122	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.878	0.122	0.000
rs13201769 lBF = `86.2755` Chr`6` : `30,756,066`	0.878	0.122	0.000
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.877	0.123	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.877	0.123	0.000
rs9368644 lBF = `68.2656` Chr`6` : `30,797,083`	0.877	0.123	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.876	0.124	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.876	0.124	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.875	0.125	0.000
rs599083 lBF = `1.53679` Chr`11` : `68,192,346`	0.000	0.125	0.875
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.874	0.126	0.000
rs13180087 lBF = `2.35122` Chr`5` : `45,265,768`	0.874	0.126	0.000
rs537160 lBF = `213.027` Chr`6` : `31,916,400`	0.000	0.126	0.874
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.874	0.126	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.874	0.126	0.000
rs45451301 lBF = `16.4571` Chr`6` : `31,935,392`	0.874	0.126	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.873	0.127	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.873	0.127	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.873	0.127	0.000
rs698813 lBF = `1.64167` Chr`2` : `44,705,615`	0.873	0.127	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.872	0.128	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.872	0.128	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.871	0.129	0.000
rs13198118 lBF = `66.4564` Chr`6` : `30,770,732`	0.871	0.129	0.000
rs16897899 lBF = `88.0824` Chr`6` : `30,755,744`	0.871	0.129	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.871	0.129	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.870	0.130	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.869	0.131	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.867	0.133	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.867	0.133	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.867	0.133	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.866	0.134	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.866	0.134	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.865	0.135	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.865	0.135	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.865	0.135	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.865	0.135	0.000
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.864	0.136	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.864	0.136	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.863	0.137	0.000
rs72648438 lBF = `7.6831` Chr`1` : `17,923,847`	0.863	0.137	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.863	0.137	0.000
rs11758688 lBF = `88.8773` Chr`6` : `30,758,348`	0.862	0.138	0.000
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.862	0.138	0.000
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rs646760 lBF = `2.95553` Chr`11` : `102,703,278`	0.861	0.139	0.000
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rs4713367 lBF = `87.4605` Chr`6` : `30,756,822`	0.857	0.143	0.000
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rs549114 lBF = `5.53235` Chr`1` : `94,534,354`	0.855	0.145	0.000
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rs6900029 lBF = `88.2259` Chr`6` : `30,756,596`	0.855	0.145	0.000
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rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.831	0.168	0.000
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rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.831	0.169	0.000
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rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.787	0.213	0.000
rs528808 lBF = `2.54605` Chr`6` : `100,104,289`	0.787	0.213	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.786	0.214	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.786	0.214	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.786	0.214	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.786	0.214	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.786	0.214	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.785	0.214	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.785	0.214	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.785	0.215	0.000
rs564018 lBF = `1.02513` Chr`11` : `102,691,419`	0.000	0.215	0.785
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.785	0.215	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.785	0.215	0.000
rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.784	0.216	0.000
rs17102423 lBF = `1.06595` Chr`14` : `65,604,728`	0.783	0.217	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.783	0.217	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.783	0.217	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.783	0.217	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.782	0.218	0.000
rs194679 lBF = `20.8093` Chr`6` : `32,891,338`	0.782	0.218	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.782	0.218	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.780	0.220	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.780	0.220	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.779	0.221	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.779	0.221	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.778	0.221	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.778	0.222	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.778	0.222	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.778	0.222	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.777	0.223	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.777	0.223	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.777	0.223	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.776	0.224	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.776	0.224	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.776	0.224	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.776	0.224	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.775	0.224	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.775	0.225	0.000
rs470928 lBF = `1.0097` Chr`11` : `102,685,380`	0.000	0.225	0.775
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.774	0.226	0.000
rs1020820 lBF = `1.40595` Chr`3` : `53,762,569`	0.000	0.226	0.774
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.774	0.226	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.774	0.226	0.000
rs2286656 lBF = `64.584` Chr`6` : `30,899,571`	0.773	0.227	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.773	0.227	0.000
rs17346504 lBF = `2.48944` Chr`2` : `137,923,761`	0.772	0.228	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.771	0.229	0.000
rs475937 lBF = `0.98987` Chr`11` : `102,687,700`	0.000	0.229	0.771
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.771	0.229	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.770	0.230	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.770	0.230	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.770	0.230	0.000
rs6931421 lBF = `1.54316` Chr`6` : `80,880,138`	0.770	0.230	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.769	0.231	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.769	0.231	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.769	0.231	0.000
rs2072633 lBF = `209.288` Chr`6` : `31,919,578`	0.000	0.232	0.768
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.768	0.232	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.768	0.232	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.767	0.233	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.767	0.233	0.000
rs114355928 lBF = `63.2185` Chr`6` : `32,265,881`	0.766	0.234	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.765	0.235	0.000
rs470530 lBF = `1.01419` Chr`11` : `102,680,949`	0.000	0.235	0.765
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.764	0.236	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.764	0.236	0.000
rs470234 lBF = `1.00991` Chr`11` : `102,681,806`	0.000	0.236	0.764
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.764	0.236	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.764	0.236	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.764	0.236	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.763	0.237	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.763	0.237	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.763	0.237	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.763	0.237	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.763	0.237	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.762	0.238	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.762	0.238	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.762	0.238	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.761	0.239	0.000
rs13405020 lBF = `2.66903` Chr`2` : `138,142,164`	0.760	0.240	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.760	0.240	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.760	0.240	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.760	0.240	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.759	0.241	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.759	0.241	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.759	0.241	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.758	0.242	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.758	0.242	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.758	0.242	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.758	0.242	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.758	0.242	0.000
rs7698171 lBF = `5.08652` Chr`4` : `95,089,869`	0.758	0.242	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.757	0.243	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.755	0.245	0.000
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	0.000	0.245	0.755
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.755	0.245	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

0.9998

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9758

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5042

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4934

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9984

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9958

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9949

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9937

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9924

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9904

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9877

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9861

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9849

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9834

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9816

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9782

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9771

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9756

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9731

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9728

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9714

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9702

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9578

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9573

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9573

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9562

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9552

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9482

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9438

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9368

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9351

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9298

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9199

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9194

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9142

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9090

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8963

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8925

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8915

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8907

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8893

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8883

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8867

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8865

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8842

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8776

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8760

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8740

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8732

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8669

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8633

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8492

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8431

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8390

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8362

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8341

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8186

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8176

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8051

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8011

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7972

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7970

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7951

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7939

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.7850

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7716

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7698

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7684

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7644

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7631

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7543

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7519

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7507

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7411

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7348

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7261

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7215

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7107

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6959

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6852

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6802

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6698

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6605

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6585

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6572

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6416

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6180

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6180

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6172

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6130

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5829

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5819

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5752

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5700

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5641

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5621

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5566

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.5473

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5378

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5122

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5033

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4977

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4948

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4858

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4845

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4825

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4757

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4648

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4568

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4543

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4298

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4233

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4194

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4123

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4045

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4036

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3994

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3922

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3913

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3905

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3857

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3855

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3651

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3622

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3595

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3530

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3475

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3354

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3286

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3211

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3028

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3009

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2643

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2546

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.2435

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2325

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2306

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2096

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2055

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1948

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1871

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1853

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1683

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1680

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1490

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1388

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1380

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1347

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1327

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1293

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1254

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1183

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1176

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1149

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1049

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1024

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0951

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0894

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0855

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0811

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0764

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0745

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0654

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0639

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0603

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0603

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0545

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`)