TreeWAS – [T40.4] Other synthetic narcotics

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
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.974	0.026	0.000
rs2296342 lBF = `7.21458` Chr`6` : `33,627,077`	0.959	0.041	0.000
rs11580034 lBF = `5.80331` Chr`1` : `157,910,551`	0.943	0.057	0.000
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.935	0.065	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.934	0.066	0.000
rs1555967 lBF = `2.33405` Chr`6` : `51,159,995`	0.897	0.103	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.896	0.104	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.896	0.104	0.000
rs12122440 lBF = `2.18554` Chr`1` : `76,477,207`	0.895	0.105	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.895	0.105	0.000
rs12345511 lBF = `5.5265` Chr`9` : `112,645,299`	0.892	0.108	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.890	0.110	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.886	0.114	0.000
rs1449984 lBF = `1.35649` Chr`2` : `23,414,651`	0.885	0.115	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.876	0.124	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.874	0.126	0.000
rs10008980 lBF = `5.86369` Chr`4` : `189,258,322`	0.867	0.133	0.000
rs294588 lBF = `2.09432` Chr`5` : `162,998,515`	0.867	0.133	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.865	0.135	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	0.137	0.863
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.855	0.145	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.853	0.147	0.000
rs367836 lBF = `7.56457` Chr`6` : `52,843,131`	0.848	0.152	0.000
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.846	0.154	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.846	0.154	0.000
rs7933433 lBF = `1.2117` Chr`11` : `128,194,450`	0.845	0.155	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.842	0.158	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.841	0.159	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.837	0.163	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.837	0.163	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.832	0.168	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.832	0.168	0.000
rs36063014 lBF = `5.33782` Chr`3` : `169,302,504`	0.831	0.169	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.830	0.170	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.826	0.174	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.823	0.177	0.000
rs528808 lBF = `2.54605` Chr`6` : `100,104,289`	0.820	0.180	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.817	0.182	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.816	0.184	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.816	0.184	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.813	0.187	0.000
rs1116547 lBF = `2.6843` Chr`5` : `112,680,337`	0.000	0.188	0.812
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.811	0.189	0.000
rs212524 lBF = `0.739518` Chr`1` : `21,583,311`	0.811	0.189	0.000
rs2526385 lBF = `5.49004` Chr`3` : `50,181,135`	0.810	0.190	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.809	0.191	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.807	0.193	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.803	0.196	0.000
rs3749574 lBF = `21.4834` Chr`4` : `151,207,127`	0.803	0.197	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.803	0.197	0.000
rs2514218 lBF = `4.11351` Chr`11` : `113,392,994`	0.000	0.199	0.801
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.801	0.199	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.800	0.200	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.799	0.201	0.000
rs6931421 lBF = `1.54316` Chr`6` : `80,880,138`	0.799	0.201	0.000
rs4846835 lBF = `2.38058` Chr`1` : `230,281,156`	0.000	0.202	0.798
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.798	0.202	0.000
rs6817154 lBF = `20.7823` Chr`4` : `151,206,319`	0.796	0.204	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.796	0.204	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.795	0.205	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.795	0.205	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.794	0.206	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.793	0.207	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.790	0.209	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.789	0.211	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.785	0.215	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.784	0.216	0.000
rs6837957 lBF = `7.20634` Chr`4` : `151,241,258`	0.783	0.216	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.783	0.217	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.782	0.218	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.781	0.219	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.780	0.220	0.000
rs1020820 lBF = `1.40595` Chr`3` : `53,762,569`	0.000	0.221	0.779
rs2734839 lBF = `1.4984` Chr`11` : `113,286,490`	0.000	0.222	0.778
rs1077216 lBF = `4.32499` Chr`3` : `46,892,161`	0.777	0.223	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.774	0.226	0.000
rs1067327 lBF = `1.60261` Chr`2` : `44,628,529`	0.773	0.227	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.773	0.227	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.772	0.228	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.772	0.228	0.000
rs2169143 lBF = `1.43134` Chr`3` : `53,750,681`	0.000	0.229	0.771
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.771	0.229	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.771	0.229	0.000
rs698813 lBF = `1.64167` Chr`2` : `44,705,615`	0.771	0.229	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.770	0.230	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.770	0.230	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.769	0.231	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.769	0.231	0.000
rs1020821 lBF = `1.44373` Chr`3` : `53,749,880`	0.000	0.232	0.768
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.767	0.233	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.767	0.233	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.764	0.236	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.760	0.240	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.760	0.240	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.760	0.240	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.759	0.241	0.000
rs13393011 lBF = `7.2631` Chr`2` : `1,692,254`	0.759	0.241	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.759	0.241	0.000
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.759	0.241	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.758	0.242	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.758	0.242	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.756	0.244	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.756	0.244	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.756	0.244	0.000
rs1079596 lBF = `0.835169` Chr`11` : `113,296,619`	0.755	0.245	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.755	0.245	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.755	0.245	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.754	0.246	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.753	0.247	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.753	0.247	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.752	0.248	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.752	0.248	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.751	0.249	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.751	0.249	0.000
rs78171731 lBF = `9.24022` Chr`14` : `30,189,605`	0.750	0.250	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.750	0.250	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	0.252	0.748
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.748	0.252	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.748	0.252	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.747	0.253	0.000
rs62379838 lBF = `1.72265` Chr`5` : `120,102,028`	0.746	0.254	0.000
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.745	0.255	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.744	0.256	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.744	0.256	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.743	0.256	0.000
rs7952106 lBF = `4.30143` Chr`11` : `113,424,558`	0.743	0.257	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.743	0.257	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.742	0.258	0.000
rs17602038 lBF = `5.28663` Chr`11` : `113,364,691`	0.000	0.259	0.741
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.740	0.260	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.740	0.260	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.739	0.261	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.738	0.262	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.738	0.262	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.738	0.262	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.737	0.263	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.737	0.263	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.737	0.263	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.736	0.264	0.000
rs13180087 lBF = `2.35122` Chr`5` : `45,265,768`	0.735	0.265	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.735	0.265	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.734	0.265	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.734	0.266	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.734	0.266	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.733	0.267	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.733	0.267	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.731	0.269	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.731	0.269	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.730	0.270	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.730	0.270	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.730	0.270	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.730	0.270	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.729	0.271	0.000
rs3812497 lBF = `6.67685` Chr`9` : `140,611,436`	0.727	0.273	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.727	0.273	0.000
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.725	0.275	0.000
rs36000907 lBF = `5.41451` Chr`5` : `45,183,148`	0.724	0.276	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.724	0.276	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.723	0.276	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.723	0.277	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.723	0.277	0.000
rs307120 lBF = `0.849388` Chr`18` : `37,619,939`	0.723	0.277	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.723	0.277	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.722	0.278	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.721	0.279	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.721	0.279	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.720	0.280	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.720	0.280	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.720	0.280	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.720	0.280	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.720	0.280	0.000
rs4667594 lBF = `3.30318` Chr`2` : `170,008,506`	0.720	0.280	0.000
rs10248619 lBF = `0.793517` Chr`7` : `50,751,090`	0.720	0.280	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.718	0.282	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.718	0.282	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.718	0.282	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.717	0.283	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.716	0.284	0.000
rs7654538 lBF = `10.9631` Chr`4` : `151,201,635`	0.716	0.284	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.716	0.284	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.716	0.284	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.716	0.284	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.716	0.284	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.716	0.284	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.715	0.285	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.713	0.286	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.713	0.287	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.713	0.287	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.713	0.287	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.713	0.287	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.711	0.289	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.710	0.290	0.000
rs7756047 lBF = `8.51794` Chr`6` : `100,626,847`	0.710	0.290	0.000
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.710	0.290	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.710	0.290	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.709	0.291	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.709	0.291	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.708	0.292	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.708	0.292	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.707	0.293	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.707	0.293	0.000
rs2968614 lBF = `5.2935` Chr`2` : `36,157,207`	0.707	0.293	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.707	0.293	0.000
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rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.650	0.350	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.649	0.351	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.649	0.351	0.000
rs2823779 lBF = `1.55455` Chr`21` : `17,768,524`	0.649	0.351	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.649	0.351	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.649	0.351	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.648	0.352	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.648	0.352	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.648	0.352	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.648	0.352	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.648	0.352	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.648	0.352	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.648	0.352	0.000
rs11532073 lBF = `5.14553` Chr`11` : `54,940,519`	0.648	0.352	0.000
rs62402485 lBF = `14.4447` Chr`6` : `21,913,817`	0.647	0.353	0.000
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.647	0.353	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.646	0.354	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.646	0.354	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.646	0.354	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.645	0.355	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.645	0.355	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.645	0.355	0.000
rs2893910 lBF = `83.8744` Chr`6` : `27,283,254`	0.000	0.355	0.645
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.644	0.355	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.644	0.355	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.644	0.356	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.644	0.356	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.644	0.356	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.644	0.356	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.644	0.356	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.644	0.356	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.643	0.357	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.643	0.357	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.643	0.357	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.642	0.357	0.000
rs1841972 lBF = `5.58229` Chr`5` : `121,796,138`	0.642	0.358	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.642	0.358	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.642	0.358	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.642	0.358	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.641	0.358	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.641	0.359	0.000
rs61493282 lBF = `2.16805` Chr`11` : `102,754,868`	0.640	0.359	0.000
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.641	0.359	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.640	0.359	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.640	0.360	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.640	0.360	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.640	0.360	0.000
rs28459952 lBF = `1.20674` Chr`7` : `24,514,101`	0.639	0.361	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.639	0.361	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.639	0.361	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.638	0.362	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.638	0.362	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.638	0.362	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	0.362	0.638
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.638	0.362	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.638	0.362	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.637	0.363	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.637	0.363	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.637	0.363	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.637	0.363	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.637	0.363	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.636	0.364	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.636	0.364	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.636	0.364	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.636	0.364	0.000
rs2633727 lBF = `0.813169` Chr`3` : `53,746,089`	0.000	0.364	0.636
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.636	0.364	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.636	0.364	0.000
rs7767775 lBF = `5.28036` Chr`6` : `170,701,194`	0.636	0.364	0.000
rs11876140 lBF = `5.99029` Chr`18` : `44,510,156`	0.636	0.364	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.635	0.364	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.635	0.365	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.635	0.365	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.635	0.365	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.635	0.365	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.635	0.365	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.634	0.366	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.634	0.366	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.634	0.366	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.634	0.366	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.634	0.366	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.634	0.366	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.634	0.366	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.633	0.366	0.000
rs7554182 lBF = `3.02734` Chr`1` : `182,021,283`	0.633	0.367	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.633	0.367	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.633	0.367	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.631	0.369	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.631	0.369	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.631	0.369	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.630	0.369	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.630	0.370	0.000
rs16893130 lBF = `7.5717` Chr`5` : `60,927,193`	0.630	0.370	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.630	0.370	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.630	0.370	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

0.6894

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5993

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3829

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3214

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.9998

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9992

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9947

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9882

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9861

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9826

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9789

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9762

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9729

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9711

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9695

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9648

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9627

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9602

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9596

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9587

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9583

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9564

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9542

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9539

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9483

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9455

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9406

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9400

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9374

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9351

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9311

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9307

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9301

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9259

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9241

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9241

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9231

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9227

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9206

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9154

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9120

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9060

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8893

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8891

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8832

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8795

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8763

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8750

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8732

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8732

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8689

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8666

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8647

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8634

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8625

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8591

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8564

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8544

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8536

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8530

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.8408

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8386

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8326

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8322

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8295

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8248

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8167

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8143

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8136

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8123

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8115

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8063

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8030

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8028

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8012

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8000

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7967

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7884

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7855

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7809

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7759

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7746

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7733

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7704

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7653

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7632

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7631

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7609

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7597

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7530

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7522

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7492

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7484

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7478

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7414

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7299

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7230

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7225

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7152

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7146

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7124

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7122

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7117

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7067

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6927

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6903

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6892

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6847

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6780

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6698

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6690

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6672

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6557

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6494

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6471

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6462

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6416

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6339

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6325

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6322

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6318

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6237

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6199

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6177

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6105

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6096

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6087

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6042

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6042

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6004

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5858

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5851

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5761

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5696

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5617

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5529

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.5410

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5382

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.5368

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5366

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5299

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5292

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5283

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5275

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5264

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5255

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5233

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5120

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5116

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5063

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4974

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4935

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4934

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4919

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4918

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4873

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4863

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4859

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4831

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4707

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4571

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4361

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4280

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4264

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4211

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4097

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4025

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4022

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3758

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3702

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3520

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3458

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3429

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3343

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3237

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3223

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3119

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.3103

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3083

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3082

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3065

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3044

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3031

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2982

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2954

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2937

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2936

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2923

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2673

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2669

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2623

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2560

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2547

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2458

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2304

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2252

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2031

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2026

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1731

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1674

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1646

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1640

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1637

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1433

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1366

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1275

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1165

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0933

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0884

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0844

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0738

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0668

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`)