TreeWAS – [T42.4] Benzodiazepines

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
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	0.000	1.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.999	0.001	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.999	0.001	0.000
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.999	0.001	0.000
rs881576 lBF = `6.46726` Chr`1` : `199,257,785`	0.999	0.001	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.998	0.002	0.000
rs549114 lBF = `5.53235` Chr`1` : `94,534,354`	0.998	0.002	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.003	0.997
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.003	0.997
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.996	0.004	0.000
rs1116547 lBF = `2.6843` Chr`5` : `112,680,337`	0.000	0.004	0.996
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.007	0.993
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.993	0.007	0.000
rs7746199 lBF = `87.2247` Chr`6` : `27,261,324`	0.000	0.008	0.992
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.992	0.008	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.992	0.008	0.000
rs2621322 lBF = `79.2896` Chr`6` : `32,788,712`	0.990	0.010	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.989	0.011	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.989	0.011	0.000
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.989	0.011	0.000
rs2857106 lBF = `77.6131` Chr`6` : `32,787,570`	0.989	0.011	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	0.013	0.987
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.987	0.013	0.000
rs3099557 lBF = `2.73796` Chr`4` : `22,824,021`	0.000	0.016	0.984
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.983	0.017	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.983	0.017	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.982	0.018	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.982	0.018	0.000
rs2968614 lBF = `5.2935` Chr`2` : `36,157,207`	0.981	0.019	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	0.981	0.019	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.981	0.019	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.980	0.020	0.000
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.980	0.020	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.980	0.020	0.000
rs1897767 lBF = `5.8667` Chr`4` : `179,540,613`	0.000	0.021	0.979
rs12345511 lBF = `5.5265` Chr`9` : `112,645,299`	0.978	0.022	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.978	0.022	0.000
rs16897515 lBF = `87.0233` Chr`6` : `27,278,020`	0.000	0.022	0.978
rs4712955 lBF = `62.9085` Chr`6` : `25,684,279`	0.000	0.023	0.977
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.977	0.023	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.977	0.023	0.000
rs141727220 lBF = `5.77406` Chr`4` : `134,428,359`	0.977	0.023	0.000
rs7751505 lBF = `128.813` Chr`6` : `31,360,255`	0.977	0.023	0.000
rs2281816 lBF = `11.9496` Chr`6` : `33,772,335`	0.000	0.026	0.974
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	0.026	0.974
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.972	0.028	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.972	0.028	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.972	0.028	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.971	0.029	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.970	0.030	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.968	0.032	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.967	0.033	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.966	0.034	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.966	0.034	0.000
rs492146 lBF = `3.58103` Chr`6` : `52,835,895`	0.000	0.036	0.964
rs4953076 lBF = `2.94502` Chr`2` : `44,480,950`	0.962	0.038	0.000
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.962	0.038	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.962	0.038	0.000
rs13437082 lBF = `127.747` Chr`6` : `31,354,560`	0.962	0.038	0.000
rs4711269 lBF = `127.281` Chr`6` : `31,354,819`	0.961	0.039	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.961	0.039	0.000
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	0.960	0.040	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.960	0.040	0.000
rs2893910 lBF = `83.8744` Chr`6` : `27,283,254`	0.000	0.040	0.960
rs2296748 lBF = `7.70051` Chr`6` : `33,745,071`	0.000	0.041	0.959
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.958	0.042	0.000
rs318651 lBF = `5.70056` Chr`7` : `34,231,380`	0.957	0.043	0.000
rs13195040 lBF = `183.66` Chr`6` : `27,413,924`	0.000	0.043	0.957
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.955	0.045	0.000
rs10947207 lBF = `128.647` Chr`6` : `31,361,485`	0.955	0.045	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.954	0.046	0.000
rs10223421 lBF = `106.956` Chr`6` : `31,390,055`	0.953	0.047	0.000
rs148210763 lBF = `66.5265` Chr`6` : `26,638,503`	0.000	0.048	0.952
rs9393737 lBF = `67.5687` Chr`6` : `26,617,306`	0.000	0.049	0.951
rs3857536 lBF = `3.18052` Chr`6` : `66,929,048`	0.949	0.051	0.000
rs3756407 lBF = `7.30388` Chr`5` : `10,701,514`	0.949	0.051	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.948	0.052	0.000
rs6906021 lBF = `280.702` Chr`6` : `32,626,311`	0.000	0.052	0.948
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.948	0.052	0.000
rs403414 lBF = `7.99105` Chr`6` : `32,977,315`	0.948	0.052	0.000
rs2071475 lBF = `70.4607` Chr`6` : `32,782,387`	0.948	0.052	0.000
rs3763313 lBF = `129.358` Chr`6` : `32,376,471`	0.947	0.053	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.947	0.053	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.946	0.054	0.000
rs11575907 lBF = `33.192` Chr`6` : `32,782,112`	0.946	0.054	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.945	0.055	0.000
rs7751725 lBF = `127.662` Chr`6` : `31,360,433`	0.945	0.055	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.944	0.056	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.943	0.057	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.943	0.057	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.942	0.058	0.000
rs4846835 lBF = `2.38058` Chr`1` : `230,281,156`	0.000	0.059	0.941
rs206776 lBF = `62.7462` Chr`6` : `32,953,711`	0.941	0.059	0.000
rs17403780 lBF = `1.93243` Chr`1` : `191,939,788`	0.941	0.059	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.940	0.060	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.939	0.061	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.937	0.063	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.937	0.063	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	0.937	0.063	0.000
rs4711268 lBF = `127.811` Chr`6` : `31,354,504`	0.937	0.063	0.000
rs1067327 lBF = `1.60261` Chr`2` : `44,628,529`	0.936	0.064	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.936	0.064	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.934	0.066	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.933	0.067	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	0.067	0.933
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.933	0.067	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.932	0.068	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.932	0.068	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.931	0.069	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.931	0.069	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.930	0.070	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.930	0.070	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.930	0.070	0.000
rs17749927 lBF = `176.254` Chr`6` : `27,669,976`	0.000	0.070	0.930
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.929	0.071	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.929	0.071	0.000
rs17162990 lBF = `5.53349` Chr`1` : `28,523,238`	0.929	0.071	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.929	0.071	0.000
rs337161 lBF = `2.05641` Chr`1` : `220,914,920`	0.928	0.072	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.928	0.072	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.928	0.072	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.928	0.072	0.000
rs9295702 lBF = `66.9967` Chr`6` : `26,634,040`	0.000	0.073	0.927
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.927	0.073	0.000
rs367836 lBF = `7.56457` Chr`6` : `52,843,131`	0.926	0.074	0.000
rs2248372 lBF = `103.651` Chr`6` : `31,446,466`	0.925	0.075	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.925	0.075	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.000	0.076	0.924
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.923	0.077	0.000
rs66862067 lBF = `127.851` Chr`6` : `31,363,606`	0.923	0.077	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.923	0.077	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.923	0.077	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.922	0.078	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.922	0.078	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.922	0.078	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.922	0.078	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.922	0.078	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.921	0.079	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.921	0.079	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.921	0.079	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.920	0.080	0.000
rs7772549 lBF = `106.766` Chr`6` : `31,407,643`	0.920	0.080	0.000
rs9378357 lBF = `2.08973` Chr`6` : `3,294,824`	0.919	0.081	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.919	0.081	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.918	0.082	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.918	0.082	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.918	0.082	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.917	0.083	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.916	0.084	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.916	0.084	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.915	0.085	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.915	0.085	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.914	0.086	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.912	0.088	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.912	0.088	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.912	0.088	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.911	0.089	0.000
rs10008980 lBF = `5.86369` Chr`4` : `189,258,322`	0.911	0.089	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.909	0.091	0.000
rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.909	0.091	0.000
rs17476187 lBF = `6.70522` Chr`1` : `104,669,154`	0.909	0.091	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.908	0.092	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.908	0.092	0.000
rs2066363 lBF = `1.68715` Chr`1` : `82,237,577`	0.000	0.092	0.908
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.907	0.093	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.906	0.094	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.906	0.094	0.000
rs75128058 lBF = `8.3914` Chr`6` : `52,978,053`	0.905	0.095	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.905	0.095	0.000
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.903	0.097	0.000
rs7715811 lBF = `2.69078` Chr`5` : `13,769,974`	0.903	0.097	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.902	0.098	0.000
rs72983521 lBF = `3.48687` Chr`11` : `102,730,033`	0.901	0.099	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.900	0.100	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.899	0.101	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.899	0.101	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.899	0.101	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.899	0.101	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.899	0.101	0.000
rs7792596 lBF = `1.06288` Chr`7` : `94,009,634`	0.898	0.102	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.897	0.103	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.896	0.104	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.896	0.104	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.895	0.105	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.893	0.107	0.000
rs1502050 lBF = `2.66649` Chr`5` : `13,779,743`	0.893	0.107	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.892	0.108	0.000
rs2514218 lBF = `4.11351` Chr`11` : `113,392,994`	0.000	0.108	0.892
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.891	0.109	0.000
rs9378109 lBF = `68.7722` Chr`6` : `30,774,474`	0.891	0.109	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.890	0.110	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.889	0.111	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.889	0.111	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.888	0.112	0.000
rs140839642 lBF = `3.78516` Chr`11` : `102,728,812`	0.888	0.112	0.000
rs2296743 lBF = `8.37293` Chr`6` : `33,740,025`	0.000	0.112	0.888
rs13422522 lBF = `3.63986` Chr`2` : `227,011,320`	0.887	0.113	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.886	0.114	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.886	0.114	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.886	0.114	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.886	0.114	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.885	0.115	0.000
rs528808 lBF = `2.54605` Chr`6` : `100,104,289`	0.885	0.115	0.000
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rs2535323 lBF = `61.2993` Chr`6` : `30,718,180`	0.816	0.184	0.000
rs28895243 lBF = `68.4375` Chr`6` : `32,443,799`	0.816	0.184	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.816	0.184	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.814	0.186	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.813	0.187	0.000
rs10947095 lBF = `89.9123` Chr`6` : `30,757,575`	0.813	0.187	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.813	0.187	0.000
rs4587207 lBF = `66.296` Chr`6` : `30,766,945`	0.812	0.188	0.000
rs12660860 lBF = `57.1912` Chr`6` : `30,764,241`	0.811	0.189	0.000
rs17102423 lBF = `1.06595` Chr`14` : `65,604,728`	0.811	0.189	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.811	0.189	0.000
rs2394403 lBF = `65.7521` Chr`6` : `30,767,869`	0.811	0.189	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.810	0.190	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.810	0.190	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.810	0.190	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.810	0.190	0.000
rs28732236 lBF = `68.0491` Chr`6` : `32,430,976`	0.810	0.190	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.809	0.191	0.000
rs3757188 lBF = `131.721` Chr`6` : `28,107,357`	0.000	0.191	0.809
rs4549702 lBF = `1.61489` Chr`7` : `147,901,016`	0.809	0.191	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.809	0.191	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.809	0.191	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.809	0.191	0.000
rs11580034 lBF = `5.80331` Chr`1` : `157,910,551`	0.808	0.192	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.808	0.192	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.807	0.193	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.807	0.193	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.807	0.193	0.000
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.806	0.194	0.000
rs12638253 lBF = `0.82618` Chr`3` : `156,626,091`	0.806	0.194	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.806	0.194	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.806	0.194	0.000
rs6920124 lBF = `88.2531` Chr`6` : `30,756,593`	0.806	0.194	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.805	0.195	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.805	0.195	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.804	0.196	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.804	0.196	0.000
rs2516511 lBF = `99.3774` Chr`6` : `31,448,625`	0.803	0.197	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.802	0.198	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.802	0.198	0.000
rs4332358 lBF = `1.08132` Chr`1` : `115,875,645`	0.802	0.198	0.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.801	0.199	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.801	0.199	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.801	0.199	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.801	0.199	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.800	0.200	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.799	0.201	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.799	0.201	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.799	0.201	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.799	0.201	0.000
rs10947091 lBF = `88.9982` Chr`6` : `30,747,216`	0.799	0.201	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.799	0.201	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.799	0.201	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.799	0.201	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.798	0.202	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.798	0.202	0.000
rs62266819 lBF = `12.7445` Chr`3` : `75,016,331`	0.798	0.202	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.798	0.202	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.797	0.203	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.797	0.203	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.797	0.203	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.797	0.203	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.797	0.203	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.796	0.204	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.795	0.205	0.000
rs11758688 lBF = `88.8773` Chr`6` : `30,758,348`	0.795	0.205	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.795	0.205	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.793	0.207	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.793	0.207	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.793	0.207	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.793	0.207	0.000
rs2248462 lBF = `98.4899` Chr`6` : `31,446,796`	0.793	0.207	0.000
rs28732226 lBF = `105.633` Chr`6` : `32,427,311`	0.792	0.208	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.792	0.208	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.792	0.208	0.000
rs4666563 lBF = `8.16748` Chr`2` : `19,948,952`	0.792	0.208	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.791	0.209	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.791	0.209	0.000
rs1007000 lBF = `0.64504` Chr`9` : `113,662,681`	0.791	0.209	0.000
rs2516422 lBF = `97.9547` Chr`6` : `31,449,269`	0.790	0.210	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.790	0.210	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.790	0.210	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.790	0.210	0.000
rs2005108 lBF = `1.55637` Chr`11` : `102,770,353`	0.790	0.210	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.789	0.211	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.789	0.211	0.000
rs6746528 lBF = `17.4769` Chr`2` : `241,659,675`	0.787	0.213	0.000
rs2516513 lBF = `97.6551` Chr`6` : `31,447,588`	0.787	0.213	0.000
rs150986675 lBF = `1.6596` Chr`11` : `102,777,303`	0.787	0.213	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.787	0.213	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.787	0.213	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.786	0.214	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.784	0.216	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.784	0.216	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.783	0.217	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.783	0.217	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0286

log Bayes Factor = 30.6663

contains 3 variants

1.0000

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9966

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2298

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1834

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 X0041

log Bayes Factor = 306.192

contains 14 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9999

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9999

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9999

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9998

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9996

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9989

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9989

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9989

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9986

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9981

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9977

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9975

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9964

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9958

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9955

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9946

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9932

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9871

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9817

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9707

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9660

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9642

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9620

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9581

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9431

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9422

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.9379

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9327

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9289

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9262

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9245

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9229

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9202

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9197

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9112

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8914

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8896

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8868

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8780

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8709

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8693

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8688

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8672

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8616

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8578

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8448

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8315

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8220

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8139

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8069

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8028

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7955

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7939

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7843

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7744

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7739

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7719

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7417

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7352

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7193

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7016

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6919

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6912

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6855

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6619

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6574

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6516

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6299

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6291

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6281

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6195

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6012

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5911

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5864

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5826

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5715

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5648

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5646

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5603

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5549

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5352

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5219

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5028

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4932

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4877

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4862

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4821

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4620

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4578

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4496

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4387

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4362

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4253

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.4175

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4137

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3997

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3877

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3860

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3714

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3708

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3677

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3665

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3605

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3514

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3454

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3435

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3406

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3358

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3307

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3220

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3140

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.3134

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3104

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2708

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2640

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2501

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2479

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2457

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2452

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2255

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2162

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2111

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2022

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1909

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1892

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1881

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1864

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1853

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1524

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1417

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1364

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1341

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1325

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1308

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1293

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1268

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1098

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1044

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1024

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0986

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0972

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0862

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0849

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0828

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0822

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0821

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0705

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0650

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0640

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0640

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0632

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0629

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0629

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0574

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0572

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0557

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0549

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0535

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0513

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`)