TreeWAS – [S20.8] Superficial injuries of other and unspecified parts of thorax

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
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.976	0.024	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.925	0.075	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.922	0.078	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.921	0.079	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.915	0.085	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.910	0.090	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.898	0.102	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.895	0.105	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.876	0.124	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.872	0.128	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.860	0.140	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.857	0.143	0.000
rs75198306 lBF = `12.1179` Chr`5` : `149,642,229`	0.856	0.144	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.835	0.165	0.000
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	0.833	0.167	0.000
rs62446123 lBF = `8.00978` Chr`7` : `22,113,818`	0.830	0.170	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.819	0.181	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.817	0.183	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.812	0.188	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.804	0.196	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.800	0.200	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.799	0.201	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.798	0.202	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.794	0.206	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.793	0.207	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.790	0.210	0.000
rs74414776 lBF = `15.3148` Chr`2` : `2,693,751`	0.786	0.214	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.785	0.215	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.785	0.215	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.784	0.216	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.780	0.220	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.777	0.223	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.777	0.223	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.776	0.224	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.776	0.224	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.775	0.225	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.771	0.229	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.770	0.230	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.767	0.233	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.767	0.233	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.767	0.233	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.766	0.234	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.766	0.234	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.765	0.235	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.764	0.236	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.762	0.238	0.000
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.760	0.240	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.756	0.244	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.755	0.245	0.000
rs7772827 lBF = `79.203` Chr`6` : `28,301,143`	0.755	0.245	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.755	0.245	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.754	0.246	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.754	0.246	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.750	0.250	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.746	0.254	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.744	0.256	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.744	0.256	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.743	0.257	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.743	0.257	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.740	0.260	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.738	0.262	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.736	0.264	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.736	0.264	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.732	0.268	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.731	0.269	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.731	0.269	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.730	0.270	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.726	0.273	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.726	0.274	0.000
rs74588266 lBF = `6.60493` Chr`11` : `14,250,461`	0.722	0.278	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.722	0.278	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.721	0.279	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.720	0.280	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.718	0.282	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.718	0.282	0.000
rs62221577 lBF = `8.78053` Chr`21` : `33,164,508`	0.718	0.282	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.717	0.283	0.000
rs45520142 lBF = `10.8117` Chr`14` : `30,149,560`	0.715	0.285	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.713	0.287	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.712	0.288	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.712	0.288	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.712	0.288	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.708	0.292	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.708	0.292	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.707	0.292	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.706	0.294	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.706	0.294	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.705	0.295	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.705	0.295	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.705	0.295	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.704	0.296	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.703	0.297	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.703	0.297	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.703	0.297	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.703	0.297	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.702	0.298	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.700	0.300	0.000
rs11196181 lBF = `6.91775` Chr`10` : `114,749,018`	0.699	0.301	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.699	0.301	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.698	0.302	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.695	0.305	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.693	0.307	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.691	0.309	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.688	0.312	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.687	0.313	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.686	0.314	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.685	0.315	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.684	0.316	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.684	0.316	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.684	0.316	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.683	0.317	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.683	0.317	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.682	0.318	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.682	0.318	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.681	0.319	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.681	0.319	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.679	0.321	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.677	0.323	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.675	0.325	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.674	0.326	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.673	0.327	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.672	0.328	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.672	0.328	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.671	0.329	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.670	0.330	0.000
rs13061465 lBF = `14.9946` Chr`3` : `72,568,369`	0.670	0.330	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.669	0.331	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.668	0.332	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.667	0.333	0.000
rs114101798 lBF = `17.9738` Chr`3` : `135,286,950`	0.666	0.334	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.666	0.334	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.666	0.334	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.665	0.334	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.665	0.335	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.664	0.336	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.664	0.336	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.664	0.336	0.000
rs9268577 lBF = `36.6854` Chr`6` : `32,395,942`	0.664	0.336	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.663	0.337	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.663	0.337	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.662	0.338	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.662	0.338	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.662	0.338	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.661	0.339	0.000
rs549182 lBF = `21.2072` Chr`6` : `32,205,045`	0.661	0.339	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.661	0.339	0.000
rs4709408 lBF = `84.0955` Chr`6` : `160,625,231`	0.661	0.339	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.660	0.340	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.660	0.340	0.000
rs185190675 lBF = `18.6759` Chr`5` : `26,493,545`	0.659	0.340	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.659	0.341	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.658	0.342	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.657	0.342	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.657	0.343	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.657	0.343	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.657	0.343	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.657	0.343	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.657	0.343	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.657	0.343	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.657	0.343	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.656	0.344	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.656	0.344	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.656	0.344	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.656	0.344	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.655	0.345	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.654	0.345	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.654	0.346	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.654	0.346	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.654	0.346	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.653	0.347	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.652	0.348	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.652	0.348	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.652	0.348	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.652	0.348	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.652	0.348	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.651	0.348	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.650	0.350	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.650	0.350	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.649	0.350	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.649	0.351	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.649	0.351	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.648	0.352	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.646	0.354	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.646	0.354	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.646	0.354	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.646	0.354	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.644	0.356	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.644	0.356	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.643	0.357	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.643	0.357	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.642	0.358	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.641	0.359	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.641	0.359	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.640	0.360	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.639	0.361	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.639	0.361	0.000
rs6951643 lBF = `0.395377` Chr`7` : `126,429,517`	0.639	0.361	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.639	0.361	0.000
rs77923412 lBF = `11.2716` Chr`3` : `101,886,745`	0.638	0.362	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.637	0.363	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.636	0.364	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.636	0.364	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.635	0.365	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.634	0.366	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.633	0.366	0.000
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rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.613	0.387	0.000
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rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.610	0.390	0.000
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rs113934085 lBF = `13.4975` Chr`3` : `151,627,433`	0.607	0.393	0.000
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rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.606	0.394	0.000
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rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.597	0.403	0.000
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rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.593	0.407	0.000
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rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.592	0.408	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.591	0.409	0.000
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rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.590	0.410	0.000
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rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.590	0.410	0.000
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rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.586	0.414	0.000
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rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.585	0.414	0.000
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rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.585	0.415	0.000
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rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.584	0.416	0.000
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rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.584	0.416	0.000
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rs3130403 lBF = `231.514` Chr`6` : `30,232,009`	0.582	0.418	0.000
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rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.582	0.418	0.000
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rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.576	0.424	0.000
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rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.574	0.426	0.000
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rs9267786 lBF = `30.5061` Chr`6` : `31,937,866`	0.573	0.427	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.572	0.428	0.000
rs3130834 lBF = `217.35` Chr`6` : `29,248,149`	0.572	0.428	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.572	0.428	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.572	0.428	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.572	0.428	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.572	0.428	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.572	0.428	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.572	0.428	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	0.572	0.428	0.000
rs115302848 lBF = `9.63821` Chr`2` : `210,941,688`	0.572	0.428	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.572	0.428	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.571	0.429	0.000
rs117420548 lBF = `14.7286` Chr`7` : `104,775,976`	0.571	0.429	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.571	0.429	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.571	0.429	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.571	0.429	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.570	0.429	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.570	0.430	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.570	0.430	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.569	0.431	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.569	0.431	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.569	0.431	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.569	0.431	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.568	0.431	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.568	0.432	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.568	0.432	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.568	0.432	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.568	0.432	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.568	0.432	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.568	0.432	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.567	0.433	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.567	0.433	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.566	0.433	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.567	0.433	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.566	0.434	0.000
rs4452638 lBF = `132.117` Chr`6` : `27,229,265`	0.566	0.434	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.566	0.434	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.566	0.434	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.566	0.434	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.565	0.435	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.565	0.435	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.565	0.435	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.565	0.435	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.564	0.436	0.000
rs3130405 lBF = `228.644` Chr`6` : `30,234,152`	0.564	0.436	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.564	0.436	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.564	0.436	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.564	0.436	0.000
rs17693963 lBF = `165.192` Chr`6` : `27,710,165`	0.564	0.436	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.564	0.436	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.564	0.436	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.564	0.436	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.564	0.436	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.564	0.436	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.563	0.437	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.562	0.438	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.562	0.438	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.562	0.438	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.562	0.438	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.562	0.438	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.561	0.439	0.000
rs13195402 lBF = `163.895` Chr`6` : `26,463,575`	0.561	0.439	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.561	0.439	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.561	0.439	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.560	0.440	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.560	0.440	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.560	0.440	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.560	0.440	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.560	0.440	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.560	0.440	0.000
rs144447022 lBF = `217.73` Chr`6` : `29,244,219`	0.560	0.440	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.559	0.441	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.559	0.441	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.558	0.441	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.558	0.442	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.558	0.442	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.558	0.442	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.558	0.442	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.557	0.442	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.558	0.442	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.557	0.443	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.557	0.443	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.557	0.443	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.557	0.443	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.556	0.443	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.556	0.444	0.000
rs1035977 lBF = `8.7775` Chr`2` : `57,232,308`	0.556	0.444	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.556	0.444	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.556	0.444	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.556	0.444	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.556	0.444	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.556	0.444	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.556	0.444	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

0.3859

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3468

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9957

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9942

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9940

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9934

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9894

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9893

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9868

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9844

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9830

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9823

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9818

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9802

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9789

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9759

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9745

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9650

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9623

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9617

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9586

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9557

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9527

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9522

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9448

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9447

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9440

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9429

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9415

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9407

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9388

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9373

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9272

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9233

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9219

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9178

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9118

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9112

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9095

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8998

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8941

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8936

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8904

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8876

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8857

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8777

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8701

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8609

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8551

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8502

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8478

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8449

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8437

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8434

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8379

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8347

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8294

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8251

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8185

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8103

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8097

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8089

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8083

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8070

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8050

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8010

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7890

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7869

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7854

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7853

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7680

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7673

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7610

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7571

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7437

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7372

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7347

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7318

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7257

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7207

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7198

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7122

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7121

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7089

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7057

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6885

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6880

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6600

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6590

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6566

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6549

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.6546

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6521

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6411

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6400

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6385

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6323

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6303

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6273

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6230

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6219

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6170

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6084

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5960

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5933

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5867

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5713

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5705

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5703

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5574

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5570

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5553

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5551

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5502

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5495

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5455

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5348

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5329

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5299

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5248

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5178

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5119

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5098

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5070

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5042

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5029

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5017

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4910

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4777

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4760

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4748

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4713

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4617

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4573

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4443

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4405

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4399

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4300

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4231

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4207

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4167

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4135

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4108

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4074

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4047

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3983

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3935

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3751

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3686

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3640

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3610

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3593

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3580

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3567

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3521

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3504

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3383

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3369

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3049

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3036

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2993

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2970

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2956

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2880

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2821

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2812

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2811

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2753

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2739

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2734

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2616

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2615

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.2430

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2356

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2249

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2090

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2069

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2015

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1897

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1859

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1768

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1657

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1622

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1384

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1363

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1282

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1246

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1235

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1215

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1197

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0982

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0971

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0876

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0836

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0817

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0638

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0627

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0624

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0610

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0600

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0597

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0591

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0575

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0542

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`)