TreeWAS – [T40.6] Other and unspecified 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
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.909	0.091	0.000
rs9943876 lBF = `6.56692` Chr`13` : `32,927,894`	0.898	0.102	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.885	0.115	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.863	0.137	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.857	0.143	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.853	0.147	0.000
rs3857536 lBF = `3.18052` Chr`6` : `66,929,048`	0.847	0.153	0.000
rs12761761 lBF = `1.99853` Chr`10` : `133,775,375`	0.844	0.156	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.840	0.160	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.835	0.165	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.835	0.165	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.822	0.178	0.000
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.817	0.183	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.813	0.187	0.000
rs5745709 lBF = `2.23855` Chr`7` : `81,349,412`	0.812	0.188	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.812	0.188	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.806	0.194	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.806	0.194	0.000
rs2296342 lBF = `7.21458` Chr`6` : `33,627,077`	0.803	0.197	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.803	0.197	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.802	0.198	0.000
rs36063014 lBF = `5.33782` Chr`3` : `169,302,504`	0.798	0.202	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.796	0.204	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.794	0.206	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.793	0.207	0.000
rs525592 lBF = `2.20229` Chr`11` : `68,195,104`	0.000	0.209	0.791
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.788	0.212	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.783	0.217	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.783	0.217	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.782	0.218	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.782	0.218	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.782	0.218	0.000
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.781	0.219	0.000
rs8084580 lBF = `5.13246` Chr`18` : `4,106,522`	0.779	0.221	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.777	0.223	0.000
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.776	0.224	0.000
rs2893857 lBF = `5.42702` Chr`6` : `26,474,061`	0.776	0.224	0.000
rs7952106 lBF = `4.30143` Chr`11` : `113,424,558`	0.772	0.228	0.000
rs1555967 lBF = `2.33405` Chr`6` : `51,159,995`	0.772	0.228	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.771	0.229	0.000
rs528808 lBF = `2.54605` Chr`6` : `100,104,289`	0.769	0.231	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.769	0.231	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.767	0.233	0.000
rs367836 lBF = `7.56457` Chr`6` : `52,843,131`	0.767	0.233	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.766	0.234	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.764	0.236	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.763	0.237	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.763	0.237	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.763	0.237	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.762	0.238	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.761	0.239	0.000
rs13422522 lBF = `3.63986` Chr`2` : `227,011,320`	0.760	0.240	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.760	0.240	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.759	0.241	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.759	0.241	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.759	0.241	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.759	0.241	0.000
rs4987595 lBF = `2.60195` Chr`7` : `142,585,006`	0.756	0.244	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.753	0.247	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.753	0.247	0.000
rs212524 lBF = `0.739518` Chr`1` : `21,583,311`	0.752	0.248	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.752	0.248	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.751	0.249	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.751	0.249	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.750	0.250	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.750	0.250	0.000
rs1449984 lBF = `1.35649` Chr`2` : `23,414,651`	0.746	0.254	0.000
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.746	0.254	0.000
rs7933433 lBF = `1.2117` Chr`11` : `128,194,450`	0.742	0.258	0.000
rs8020941 lBF = `1.5323` Chr`14` : `97,533,362`	0.741	0.259	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.739	0.261	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.737	0.263	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.733	0.267	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.731	0.269	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.731	0.269	0.000
rs599083 lBF = `1.53679` Chr`11` : `68,192,346`	0.000	0.271	0.729
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.729	0.271	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.729	0.271	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.727	0.273	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.727	0.273	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.725	0.275	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.725	0.275	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.725	0.275	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.723	0.277	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.722	0.277	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.722	0.278	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.722	0.278	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.721	0.279	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.720	0.280	0.000
rs75085362 lBF = `5.75544` Chr`10` : `68,563,771`	0.719	0.281	0.000
rs79464052 lBF = `2.59355` Chr`5` : `141,035,174`	0.719	0.281	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.717	0.282	0.000
rs12272917 lBF = `5.57337` Chr`11` : `68,263,370`	0.000	0.283	0.717
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.716	0.284	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.716	0.284	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.715	0.285	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.715	0.285	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.714	0.286	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.714	0.286	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.713	0.287	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.713	0.287	0.000
rs698813 lBF = `1.64167` Chr`2` : `44,705,615`	0.712	0.288	0.000
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.712	0.288	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.712	0.288	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.711	0.289	0.000
rs4903813 lBF = `7.75672` Chr`14` : `79,507,314`	0.711	0.289	0.000
rs10923931 lBF = `7.02272` Chr`1` : `120,517,959`	0.709	0.291	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.708	0.292	0.000
rs6837957 lBF = `7.20634` Chr`4` : `151,241,258`	0.708	0.292	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.707	0.293	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.707	0.293	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.707	0.293	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.704	0.295	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.704	0.296	0.000
rs10248619 lBF = `0.793517` Chr`7` : `50,751,090`	0.704	0.296	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.704	0.296	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.704	0.296	0.000
rs3897478 lBF = `7.34077` Chr`1` : `120,451,190`	0.703	0.297	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.703	0.297	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.703	0.297	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.702	0.297	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.702	0.298	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.701	0.299	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.701	0.299	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.701	0.299	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.700	0.300	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.700	0.300	0.000
rs2641348 lBF = `6.64856` Chr`1` : `120,437,884`	0.700	0.300	0.000
rs62007678 lBF = `8.84102` Chr`14` : `103,870,716`	0.700	0.300	0.000
rs45451594 lBF = `5.69523` Chr`10` : `5,658,757`	0.700	0.300	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.698	0.302	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.698	0.302	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.697	0.302	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.697	0.303	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.696	0.304	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.696	0.304	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.696	0.304	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.696	0.304	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.695	0.304	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.694	0.306	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.694	0.306	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.694	0.306	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.694	0.306	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.693	0.307	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.693	0.307	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.693	0.307	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.692	0.308	0.000
rs3812497 lBF = `6.67685` Chr`9` : `140,611,436`	0.692	0.308	0.000
rs6931421 lBF = `1.54316` Chr`6` : `80,880,138`	0.692	0.308	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.690	0.310	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.690	0.310	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.690	0.310	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.690	0.310	0.000
rs881576 lBF = `6.46726` Chr`1` : `199,257,785`	0.690	0.310	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.690	0.310	0.000
rs4846835 lBF = `2.38058` Chr`1` : `230,281,156`	0.000	0.310	0.690
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.689	0.310	0.000
rs61894547 lBF = `16.1527` Chr`11` : `76,248,630`	0.689	0.311	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.688	0.312	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.687	0.312	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.687	0.313	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.686	0.313	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.686	0.314	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.686	0.314	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.685	0.315	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.685	0.315	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.683	0.317	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.683	0.317	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.683	0.317	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.682	0.318	0.000
rs11580034 lBF = `5.80331` Chr`1` : `157,910,551`	0.682	0.318	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.682	0.318	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.681	0.319	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.681	0.319	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.681	0.319	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.680	0.320	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.680	0.320	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.679	0.321	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.679	0.321	0.000
rs72662245 lBF = `8.76887` Chr`14` : `30,575,835`	0.678	0.322	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.678	0.322	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.678	0.322	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.677	0.323	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.677	0.323	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.677	0.323	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.677	0.323	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.676	0.324	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.676	0.324	0.000
rs12071951 lBF = `0.810067` Chr`1` : `97,113,915`	0.676	0.324	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.676	0.324	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.675	0.325	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.675	0.325	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.674	0.326	0.000
rs4549702 lBF = `1.61489` Chr`7` : `147,901,016`	0.673	0.327	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.672	0.328	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.672	0.328	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.672	0.328	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.671	0.328	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.671	0.329	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.671	0.329	0.000
rs12122440 lBF = `2.18554` Chr`1` : `76,477,207`	0.671	0.329	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.670	0.330	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.670	0.330	0.000
rs4953076 lBF = `2.94502` Chr`2` : `44,480,950`	0.670	0.330	0.000
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rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.623	0.377	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.622	0.378	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.622	0.378	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.622	0.378	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.622	0.378	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.622	0.378	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.622	0.378	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.622	0.378	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.622	0.378	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.621	0.378	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.621	0.378	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.621	0.379	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.621	0.379	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.621	0.379	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.621	0.379	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.621	0.379	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.620	0.380	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.620	0.380	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.620	0.380	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.620	0.380	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.620	0.380	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.619	0.380	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.619	0.381	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.619	0.381	0.000
rs62379838 lBF = `1.72265` Chr`5` : `120,102,028`	0.619	0.381	0.000
rs72983521 lBF = `3.48687` Chr`11` : `102,730,033`	0.618	0.381	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.618	0.382	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.618	0.382	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.618	0.382	0.000
rs117263911 lBF = `16.7712` Chr`14` : `30,929,126`	0.618	0.382	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.618	0.382	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.617	0.383	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.617	0.383	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.617	0.383	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.617	0.383	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.616	0.383	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.616	0.384	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.616	0.384	0.000
rs1067327 lBF = `1.60261` Chr`2` : `44,628,529`	0.616	0.384	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.616	0.384	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.616	0.384	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.615	0.384	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.615	0.385	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.615	0.385	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.615	0.385	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.614	0.385	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.614	0.385	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.614	0.385	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.614	0.385	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.614	0.386	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.614	0.386	0.000
rs13236243 lBF = `0.450345` Chr`7` : `17,318,312`	0.614	0.386	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.614	0.386	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.614	0.386	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.613	0.387	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.613	0.387	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.613	0.387	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.613	0.387	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.613	0.387	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.613	0.387	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.613	0.387	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.612	0.387	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.612	0.388	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.612	0.388	0.000
rs6888802 lBF = `8.70648` Chr`5` : `177,964,789`	0.612	0.388	0.000
rs17368890 lBF = `2.18377` Chr`11` : `102,752,600`	0.612	0.388	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.611	0.388	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.611	0.388	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.611	0.389	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.611	0.389	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.611	0.389	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.611	0.389	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.611	0.389	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.611	0.389	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.611	0.389	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.610	0.390	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.610	0.390	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.610	0.390	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.609	0.391	0.000
rs115083581 lBF = `14.4282` Chr`1` : `36,376,992`	0.609	0.391	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.609	0.391	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.609	0.391	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.609	0.391	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.608	0.391	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.608	0.392	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.608	0.392	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.608	0.392	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.608	0.392	0.000
rs12345511 lBF = `5.5265` Chr`9` : `112,645,299`	0.608	0.392	0.000
rs41305709 lBF = `15.2213` Chr`10` : `78,283,806`	0.608	0.392	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.608	0.392	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.608	0.392	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.607	0.392	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.607	0.392	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6803

Cluster X0286

log Bayes Factor = 30.6663

contains 3 variants

0.5150

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3919

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3829

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9937

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9808

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9789

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9789

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9732

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9703

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9678

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9638

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9568

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9488

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9470

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9431

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9389

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9382

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9322

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9206

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9201

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9154

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9153

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9137

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9120

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9119

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9027

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9013

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8851

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8691

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8640

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8636

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8634

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8609

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8536

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8508

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8473

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8469

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8418

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8278

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8186

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8174

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8169

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8115

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8115

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8110

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8103

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8054

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8033

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8011

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8011

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8004

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7838

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7833

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7793

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7792

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7783

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7751

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7653

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7636

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7577

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7491

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.7469

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7466

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7466

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7387

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7361

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7350

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7346

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7296

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7283

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7234

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.7216

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7178

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7166

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7163

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7157

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7154

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7133

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7131

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7100

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7097

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7073

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7069

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7068

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7068

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7062

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7016

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6975

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6929

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6915

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6891

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6877

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6860

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6857

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6839

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6831

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6827

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6794

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6748

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6728

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6727

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6723

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6712

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6536

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6528

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6524

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6486

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6456

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6449

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6415

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6413

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6413

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6410

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6390

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6385

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6379

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6365

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6325

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6239

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6224

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6199

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6136

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6053

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.6039

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5994

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5970

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5960

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5925

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5873

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5793

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5768

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5687

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5653

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5593

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5581

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5523

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5406

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5377

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5342

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5308

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5240

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5139

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5113

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5059

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5020

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4975

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4946

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4896

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4851

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4829

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4829

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4749

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4733

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4726

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4726

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4617

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4565

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4564

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4555

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4522

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4464

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4451

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4373

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4361

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4262

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4255

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4241

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 X0129

log Bayes Factor = 195.809

contains 7 variants

0.4022

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3868

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3852

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3657

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3579

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3458

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3400

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3353

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3303

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3296

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3250

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3205

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3203

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3107

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2965

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2930

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2890

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2816

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2801

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2756

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2751

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2669

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2648

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2642

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2623

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2613

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.2605

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 X0264

log Bayes Factor = 205.833

contains 10 variants

0.2396

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2326

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2108

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1963

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1943

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.1884

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1849

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1639

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1189

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.1108

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1016

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0851

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.0850

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0738

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0705

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0613

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0593

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`)