TreeWAS – [F31.2] Bipolar affective disorder, current episode manic with psychotic symptoms

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
rs295140 lBF = `3.70474` Chr`2` : `201,160,699`	0.000	0.027	0.973
rs2508037 lBF = `103.422` Chr`6` : `29,918,436`	0.967	0.033	0.000
rs2975043 lBF = `102.582` Chr`6` : `29,918,734`	0.967	0.033	0.000
rs428081 lBF = `99.8327` Chr`6` : `29,906,512`	0.967	0.033	0.000
rs376646 lBF = `102.081` Chr`6` : `29,914,377`	0.966	0.034	0.000
rs417162 lBF = `103.393` Chr`6` : `29,916,505`	0.966	0.034	0.000
rs9260112 lBF = `99.5353` Chr`6` : `29,909,918`	0.959	0.041	0.000
rs9260489 lBF = `97.3753` Chr`6` : `29,920,332`	0.000	0.057	0.943
rs295137 lBF = `1.67387` Chr`2` : `201,150,040`	0.000	0.058	0.942
rs7618915 lBF = `3.51158` Chr`3` : `52,279,594`	0.000	0.059	0.941
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	0.060	0.940
rs35458303 lBF = `7.51936` Chr`14` : `21,923,368`	0.940	0.060	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.921	0.079	0.000
rs2517713 lBF = `96.1363` Chr`6` : `29,918,099`	0.000	0.079	0.921
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.921	0.079	0.000
rs11717383 lBF = `4.18622` Chr`3` : `52,287,468`	0.000	0.084	0.916
rs6712932 lBF = `5.4522` Chr`2` : `105,837,598`	0.916	0.084	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.915	0.085	0.000
rs1633005 lBF = `151.483` Chr`6` : `29,764,472`	0.912	0.088	0.000
rs2341917 lBF = `2.12265` Chr`2` : `111,711,089`	0.904	0.096	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.897	0.103	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.890	0.110	0.000
rs9311474 lBF = `3.50634` Chr`3` : `52,338,852`	0.000	0.110	0.890
rs2590838 lBF = `1.66001` Chr`3` : `52,622,086`	0.000	0.119	0.881
rs12642133 lBF = `1.47524` Chr`4` : `75,543,289`	0.877	0.123	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.876	0.124	0.000
rs13083798 lBF = `1.19457` Chr`3` : `52,649,748`	0.000	0.126	0.874
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.874	0.126	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.871	0.129	0.000
rs1108842 lBF = `1.62525` Chr`3` : `52,720,080`	0.000	0.131	0.869
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.867	0.133	0.000
rs12887734 lBF = `2.62934` Chr`14` : `104,046,834`	0.865	0.135	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.864	0.136	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.862	0.138	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.862	0.138	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.855	0.145	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.854	0.146	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.854	0.146	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.854	0.146	0.000
rs9765960 lBF = `18.1105` Chr`6` : `31,413,000`	0.854	0.146	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.853	0.147	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.853	0.147	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.853	0.147	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.853	0.147	0.000
rs56014128 lBF = `17.9579` Chr`6` : `31,411,421`	0.853	0.147	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.851	0.149	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	0.851	0.149	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.851	0.149	0.000
rs11954519 lBF = `2.22155` Chr`5` : `39,902,365`	0.000	0.152	0.848
rs12668467 lBF = `1.07467` Chr`7` : `13,632,228`	0.000	0.154	0.846
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.844	0.156	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.844	0.156	0.000
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.843	0.157	0.000
rs67068100 lBF = `25.2032` Chr`6` : `31,429,913`	0.843	0.157	0.000
rs16899661 lBF = `21.9129` Chr`6` : `31,430,401`	0.842	0.158	0.000
rs11177 lBF = `1.8711` Chr`3` : `52,721,305`	0.000	0.161	0.839
rs2834188 lBF = `0.979999` Chr`21` : `34,689,253`	0.000	0.162	0.838
rs1611635 lBF = `168.105` Chr`6` : `29,836,463`	0.836	0.164	0.000
rs72851131 lBF = `23.0275` Chr`6` : `31,419,604`	0.834	0.166	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.832	0.168	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.828	0.172	0.000
rs76151409 lBF = `20.9106` Chr`6` : `31,407,653`	0.826	0.174	0.000
rs4757391 lBF = `4.55047` Chr`11` : `16,302,939`	0.825	0.175	0.000
rs9348876 lBF = `71.6856` Chr`6` : `31,575,276`	0.823	0.177	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.823	0.177	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.821	0.179	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.820	0.180	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.820	0.180	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.816	0.184	0.000
rs72851199 lBF = `24.787` Chr`6` : `31,426,427`	0.816	0.184	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.816	0.184	0.000
rs111724274 lBF = `36.4129` Chr`2` : `200,713,124`	0.816	0.184	0.000
rs72851111 lBF = `23.6522` Chr`6` : `31,414,673`	0.815	0.185	0.000
rs72847395 lBF = `22.7489` Chr`6` : `31,388,555`	0.815	0.185	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.815	0.185	0.000
rs35163515 lBF = `19.5869` Chr`6` : `31,434,968`	0.815	0.185	0.000
rs56180073 lBF = `23.2669` Chr`6` : `31,416,956`	0.815	0.185	0.000
rs55691135 lBF = `23.4665` Chr`6` : `31,417,249`	0.814	0.186	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	0.000	0.186	0.814
rs1393350 lBF = `26.0475` Chr`11` : `89,011,046`	0.814	0.186	0.000
rs72882965 lBF = `23.0387` Chr`6` : `31,353,285`	0.813	0.187	0.000
rs7766461 lBF = `25.7662` Chr`6` : `31,334,799`	0.813	0.187	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.812	0.188	0.000
rs75931194 lBF = `22.6213` Chr`6` : `31,348,200`	0.812	0.188	0.000
rs2301750 lBF = `22.9657` Chr`6` : `31,371,342`	0.812	0.188	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.812	0.188	0.000
rs114635873 lBF = `16.8914` Chr`6` : `31,398,058`	0.811	0.189	0.000
rs72878039 lBF = `23.7565` Chr`6` : `31,340,795`	0.810	0.190	0.000
rs68085422 lBF = `22.2032` Chr`6` : `31,327,326`	0.808	0.192	0.000
rs114783056 lBF = `22.655` Chr`6` : `31,327,265`	0.808	0.192	0.000
rs2251219 lBF = `1.37885` Chr`3` : `52,584,787`	0.000	0.195	0.805
rs1847134 lBF = `23.2132` Chr`11` : `89,005,253`	0.805	0.195	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.805	0.195	0.000
rs72502573 lBF = `20.8514` Chr`6` : `31,327,446`	0.804	0.196	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.804	0.196	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.803	0.197	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.802	0.198	0.000
rs17411949 lBF = `4.20269` Chr`3` : `140,099,693`	0.802	0.198	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.800	0.200	0.000
rs739447 lBF = `6.23807` Chr`9` : `136,477,511`	0.800	0.200	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.798	0.202	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.798	0.202	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.796	0.204	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.796	0.204	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.796	0.204	0.000
rs1359742 lBF = `1.45994` Chr`9` : `22,336,996`	0.795	0.205	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.795	0.205	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.794	0.206	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.794	0.206	0.000
rs2734986 lBF = `167.606` Chr`6` : `29,818,568`	0.793	0.207	0.000
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.793	0.207	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.792	0.208	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.789	0.211	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.789	0.211	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.787	0.213	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.787	0.213	0.000
rs113864525 lBF = `5.65687` Chr`9` : `136,473,053`	0.786	0.214	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.786	0.214	0.000
rs10738626 lBF = `0.936624` Chr`9` : `22,373,457`	0.785	0.215	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.785	0.215	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.783	0.217	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.782	0.218	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.782	0.218	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.781	0.219	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.780	0.220	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.778	0.222	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.778	0.222	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	0.777	0.223	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.777	0.223	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.776	0.224	0.000
rs114892859 lBF = `25.3426` Chr`6` : `31,369,278`	0.774	0.226	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.774	0.226	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.773	0.227	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.772	0.228	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.771	0.229	0.000
rs45627239 lBF = `18.4326` Chr`6` : `30,921,141`	0.771	0.229	0.000
rs2710323 lBF = `1.11314` Chr`3` : `52,815,905`	0.000	0.230	0.770
rs9380234 lBF = `27.1707` Chr`6` : `31,248,568`	0.770	0.230	0.000
rs2734985 lBF = `103.334` Chr`6` : `29,818,662`	0.769	0.230	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.769	0.231	0.000
rs61885683 lBF = `7.29609` Chr`11` : `29,914,282`	0.769	0.231	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.769	0.231	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.769	0.231	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.769	0.231	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.769	0.231	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.767	0.233	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.766	0.234	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.763	0.237	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.763	0.237	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.763	0.237	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.762	0.237	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.762	0.237	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.762	0.238	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.762	0.238	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.761	0.239	0.000
rs80058873 lBF = `13.5077` Chr`11` : `93,959,955`	0.761	0.239	0.000
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.760	0.240	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.760	0.240	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.760	0.240	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.760	0.240	0.000
rs4703516 lBF = `0.960393` Chr`5` : `80,654,966`	0.756	0.244	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.755	0.245	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.754	0.246	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.754	0.246	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.754	0.246	0.000
rs17045328 lBF = `3.22095` Chr`1` : `207,652,176`	0.754	0.246	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.753	0.247	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.752	0.248	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.752	0.248	0.000
rs2517870 lBF = `101.883` Chr`6` : `29,818,744`	0.751	0.249	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.750	0.250	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.749	0.250	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.748	0.252	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.747	0.253	0.000
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.747	0.253	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.746	0.254	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.746	0.254	0.000
rs2734984 lBF = `103.886` Chr`6` : `29,820,831`	0.746	0.254	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.745	0.254	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.745	0.255	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.745	0.255	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.744	0.256	0.000
rs4151664 lBF = `61.8333` Chr`6` : `31,920,873`	0.743	0.257	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.742	0.258	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.741	0.259	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.741	0.259	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.739	0.261	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.738	0.262	0.000
rs75016295 lBF = `11.3138` Chr`7` : `153,908,935`	0.737	0.263	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.737	0.263	0.000
rs8192583 lBF = `58.0993` Chr`6` : `32,163,274`	0.737	0.263	0.000
rs12489828 lBF = `1.28133` Chr`3` : `52,567,014`	0.000	0.263	0.737
rs2299031 lBF = `13.2378` Chr`6` : `28,196,718`	0.735	0.265	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.735	0.265	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.735	0.265	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.734	0.265	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.734	0.266	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.734	0.266	0.000
rs1126809 lBF = `23.204` Chr`11` : `89,017,961`	0.734	0.266	0.000
rs10931896 lBF = `0.773096` Chr`2` : `201,148,076`	0.734	0.266	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.733	0.266	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.733	0.267	0.000
rs2517862 lBF = `169.608` Chr`6` : `29,821,937`	0.733	0.267	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.733	0.267	0.000
rs9266658 lBF = `76.5776` Chr`6` : `31,347,644`	0.732	0.267	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.732	0.268	0.000
rs4868006 lBF = `10.7407` Chr`5` : `170,076,605`	0.732	0.268	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.732	0.268	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.730	0.269	0.000
rs80098689 lBF = `14.847` Chr`2` : `167,262,238`	0.730	0.270	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.730	0.270	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.729	0.271	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.729	0.271	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.728	0.271	0.000
rs35148638 lBF = `0.829383` Chr`5` : `86,610,989`	0.728	0.271	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.728	0.272	0.000
rs2952151 lBF = `5.5991` Chr`17` : `37,828,496`	0.727	0.273	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.727	0.273	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.726	0.273	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.726	0.274	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.726	0.274	0.000
rs2836326 lBF = `0.711281` Chr`21` : `39,721,764`	0.726	0.274	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.724	0.276	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.724	0.276	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.724	0.276	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.723	0.277	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.723	0.277	0.000
rs4687552 lBF = `1.36966` Chr`3` : `52,838,402`	0.000	0.277	0.723
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rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.722	0.278	0.000
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rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.720	0.280	0.000
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rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.719	0.281	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.718	0.282	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.716	0.284	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.716	0.284	0.000
rs73090154 lBF = `1.70548` Chr`3` : `59,280,504`	0.716	0.284	0.000
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rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.712	0.288	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.712	0.288	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.712	0.288	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.712	0.288	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.712	0.288	0.000
rs2078543 lBF = `0.649272` Chr`6` : `21,996,860`	0.000	0.289	0.711
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.710	0.290	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.710	0.290	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.710	0.290	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.710	0.290	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.709	0.291	0.000
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rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.709	0.291	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.709	0.291	0.000
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rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.707	0.293	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.707	0.293	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.706	0.293	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.706	0.294	0.000
rs9267487 lBF = `39.9855` Chr`6` : `31,511,350`	0.706	0.294	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.705	0.295	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.705	0.295	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.704	0.296	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.703	0.297	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.703	0.297	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.703	0.297	0.000
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rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.702	0.298	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.298	0.702
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.702	0.298	0.000
Affx-35295349 lBF = `23.1148` Chr`6` : `31,379,059`	0.701	0.298	0.000
rs76878669 lBF = `0.761396` Chr`11` : `66,092,567`	0.000	0.299	0.701
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.701	0.299	0.000
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rs12710729 lBF = `5.40936` Chr`2` : `19,973,210`	0.700	0.300	0.000
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rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.700	0.300	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.699	0.301	0.000
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rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.698	0.302	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.698	0.302	0.000
rs17200740 lBF = `15.7847` Chr`6` : `31,535,539`	0.698	0.302	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.698	0.302	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.697	0.303	0.000
rs4959079 lBF = `40.4976` Chr`6` : `31,488,879`	0.696	0.304	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.696	0.304	0.000
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rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.696	0.304	0.000
rs118073826 lBF = `12.3534` Chr`11` : `85,459,170`	0.696	0.304	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.695	0.305	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.695	0.305	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.695	0.305	0.000
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rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.693	0.307	0.000
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rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.693	0.307	0.000
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rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.692	0.308	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.692	0.308	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.692	0.308	0.000
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rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.691	0.309	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.690	0.310	0.000
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rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.690	0.310	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.690	0.310	0.000
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rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.689	0.311	0.000
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rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.689	0.311	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.688	0.311	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.688	0.312	0.000
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rs114249449 lBF = `15.308` Chr`1` : `39,257,678`	0.687	0.313	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.687	0.313	0.000
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rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.686	0.314	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.686	0.314	0.000
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rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.686	0.314	0.000
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rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.685	0.315	0.000
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rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.683	0.317	0.000
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rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.682	0.318	0.000
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rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.677	0.323	0.000
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rs72973582 lBF = `18.8418` Chr`11` : `102,558,258`	0.660	0.339	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.660	0.340	0.000
rs10496964 lBF = `0.770448` Chr`2` : `145,359,909`	0.660	0.340	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.660	0.340	0.000
rs10146997 lBF = `2.57476` Chr`14` : `79,945,162`	0.000	0.340	0.659
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.659	0.340	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.659	0.341	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.659	0.341	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.659	0.341	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.659	0.341	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.658	0.341	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.658	0.342	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.658	0.342	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.657	0.342	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.657	0.343	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.656	0.344	0.000
rs115623520 lBF = `16.5137` Chr`6` : `31,518,433`	0.656	0.344	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.656	0.344	0.000
rs9970786 lBF = `11.6766` Chr`1` : `239,090,514`	0.656	0.344	0.000
rs112425727 lBF = `11.6766` Chr`1` : `239,088,889`	0.656	0.344	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.656	0.344	0.000
rs113177748 lBF = `11.695` Chr`1` : `239,092,298`	0.656	0.344	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.656	0.344	0.000
rs66862067 lBF = `127.851` Chr`6` : `31,363,606`	0.656	0.344	0.000
rs9368699 lBF = `80.8974` Chr`6` : `31,802,541`	0.656	0.344	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.656	0.344	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.655	0.345	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.655	0.345	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.655	0.345	0.000
rs28732233 lBF = `67.2768` Chr`6` : `32,427,699`	0.655	0.345	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.655	0.345	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.655	0.345	0.000
rs79272324 lBF = `9.62034` Chr`2` : `142,350,168`	0.655	0.345	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.654	0.346	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.654	0.346	0.000
rs2596573 lBF = `68.1198` Chr`6` : `31,347,930`	0.000	0.346	0.654
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.654	0.346	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.654	0.346	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.653	0.346	0.000
rs6676535 lBF = `9.81377` Chr`1` : `239,079,309`	0.653	0.347	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.653	0.347	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.653	0.347	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.652	0.347	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.652	0.348	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.651	0.348	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.651	0.349	0.000
rs7775228 lBF = `52.346` Chr`6` : `32,658,079`	0.000	0.349	0.651
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.651	0.349	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.651	0.349	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.651	0.349	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.651	0.349	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.650	0.349	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.650	0.350	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.650	0.350	0.000
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.650	0.350	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.650	0.350	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.350	0.650
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.649	0.350	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.649	0.351	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.649	0.351	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.648	0.352	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.648	0.352	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.647	0.353	0.000
rs34979634 lBF = `10.2881` Chr`7` : `18,181,230`	0.647	0.353	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.646	0.353	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.646	0.354	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.646	0.354	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.645	0.354	0.000
rs6907458 lBF = `57.9908` Chr`6` : `32,171,288`	0.645	0.355	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.645	0.355	0.000
rs115272033 lBF = `11.1478` Chr`6` : `31,850,807`	0.645	0.355	0.000
rs56536369 lBF = `52.4476` Chr`6` : `32,726,788`	0.000	0.356	0.644
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.644	0.356	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.642	0.358	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.641	0.358	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.641	0.359	0.000
rs73023170 lBF = `12.1533` Chr`3` : `11,630,099`	0.641	0.359	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.641	0.359	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.641	0.359	0.000
rs10150332 lBF = `2.07026` Chr`14` : `79,936,964`	0.000	0.359	0.641
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.641	0.359	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.640	0.360	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.640	0.360	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.640	0.360	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.640	0.360	0.000
rs41293883 lBF = `81.8257` Chr`6` : `31,474,820`	0.640	0.360	0.000
rs77149735 lBF = `4.50866` Chr`1` : `243,555,105`	0.639	0.361	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.639	0.361	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.639	0.361	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.639	0.361	0.000
rs17198734 lBF = `28.2378` Chr`6` : `31,256,026`	0.639	0.361	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.639	0.361	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.639	0.361	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.639	0.361	0.000
rs28455731 lBF = `0.903851` Chr`6` : `121,846,038`	0.639	0.361	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.639	0.361	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 X0260

log Bayes Factor = 16.5601

contains 2 variants

0.8793

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2715

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2108

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9960

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9907

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9888

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.9847

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9837

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9814

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9779

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9748

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9739

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9681

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9680

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9604

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9484

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9333

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9322

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9295

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9279

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9154

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9136

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9135

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9118

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9111

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9094

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9080

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9066

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9049

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9005

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9005

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8968

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.8966

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8948

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8948

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8891

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8889

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8873

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8831

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8821

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8799

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8762

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8751

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8741

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8731

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8722

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8709

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8697

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8669

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8608

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8594

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8567

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8519

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8494

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8465

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8443

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8436

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8431

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8412

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8411

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8395

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8384

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8333

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8315

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8286

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8161

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8153

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8063

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8036

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7987

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7982

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7906

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7801

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7708

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7701

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7700

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7695

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7557

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7537

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7530

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7494

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7479

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7455

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7450

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7407

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7395

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7379

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7311

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7288

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7283

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7271

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7264

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7259

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7254

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7250

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7241

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7212

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7163

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7155

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7144

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7134

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7130

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7115

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7111

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7076

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6959

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6752

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6726

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6657

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6638

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6631

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6612

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6558

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6549

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6489

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6444

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6384

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6359

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6334

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6267

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6248

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6244

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6214

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6172

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6138

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6092

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6021

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5979

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5950

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5823

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5777

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5731

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5631

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5521

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5438

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5413

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5206

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5131

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5117

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5085

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5054

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5008

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4965

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4962

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4938

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4837

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4726

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4706

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4665

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4507

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4446

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4427

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4300

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4247

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4242

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4168

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4165

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4089

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4085

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3985

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.3957

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3893

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3852

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3832

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3729

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3706

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3693

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3645

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3548

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3542

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3490

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3429

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3415

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3219

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.3212

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3080

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3061

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2888

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2837

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2826

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2818

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2647

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2619

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2353

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2269

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2108

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1911

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1904

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1867

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1853

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1799

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1795

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1794

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1628

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1480

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1238

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1197

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1040

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1028

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0976

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.0944

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0894

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0884

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0835

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0702

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`)