TreeWAS – [S27] Injury of other and unspecified intrathoracic organs

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
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.973	0.027	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.963	0.037	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.958	0.042	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.952	0.048	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.946	0.054	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.943	0.057	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.927	0.073	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.926	0.074	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.923	0.077	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.923	0.077	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.917	0.083	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.914	0.086	0.000
rs72819829 lBF = `13.4058` Chr`5` : `180,227,332`	0.913	0.087	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.913	0.087	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.912	0.088	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.911	0.089	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.908	0.092	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.908	0.092	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.907	0.093	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.906	0.094	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.904	0.096	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.903	0.097	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.902	0.098	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.900	0.100	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.897	0.103	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.896	0.104	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.893	0.107	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.892	0.108	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.892	0.108	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.891	0.109	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.884	0.116	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.882	0.118	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.882	0.118	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.881	0.119	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.881	0.119	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.880	0.120	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.880	0.120	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.879	0.121	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.877	0.123	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.876	0.124	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.873	0.127	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.872	0.128	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.872	0.128	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.867	0.133	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.862	0.138	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.862	0.138	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.861	0.139	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.860	0.140	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.859	0.141	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.859	0.141	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.859	0.141	0.000
rs8004189 lBF = `7.62138` Chr`14` : `89,394,467`	0.858	0.142	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.856	0.144	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.856	0.144	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.856	0.144	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.855	0.145	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.855	0.145	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.855	0.145	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.854	0.146	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.852	0.148	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.852	0.148	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.851	0.149	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.851	0.149	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.850	0.150	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.850	0.150	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.849	0.151	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.847	0.153	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.847	0.153	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.844	0.156	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.844	0.156	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.844	0.156	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.844	0.156	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.843	0.157	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.841	0.159	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.840	0.160	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.839	0.161	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.839	0.161	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.839	0.161	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.838	0.162	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.838	0.162	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.838	0.162	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.837	0.163	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.837	0.163	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.837	0.163	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.836	0.164	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.835	0.164	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.835	0.165	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.834	0.166	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.833	0.166	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.833	0.167	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.832	0.168	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.832	0.168	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.831	0.169	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.830	0.170	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.830	0.170	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.829	0.171	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.828	0.172	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.828	0.172	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.826	0.173	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.826	0.174	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.826	0.174	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.826	0.174	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.826	0.174	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.826	0.174	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.825	0.175	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.825	0.175	0.000
rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.825	0.175	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.824	0.176	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.823	0.177	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.822	0.178	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.822	0.178	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.821	0.179	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.820	0.180	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.819	0.181	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.818	0.182	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.818	0.182	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.818	0.182	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.817	0.183	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.817	0.183	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.817	0.183	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.816	0.183	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.816	0.184	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.815	0.185	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.814	0.186	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.814	0.186	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.813	0.187	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.812	0.188	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.811	0.189	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	0.811	0.189	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.810	0.190	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.810	0.190	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.810	0.190	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.809	0.191	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.809	0.191	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.807	0.193	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.807	0.193	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.806	0.194	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.806	0.194	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.805	0.195	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.805	0.195	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.804	0.196	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.804	0.196	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.804	0.196	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.803	0.197	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.802	0.198	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.802	0.198	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.802	0.198	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.802	0.198	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.801	0.199	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.801	0.199	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.800	0.200	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.800	0.200	0.000
rs72832345 lBF = `7.1279` Chr`10` : `123,221,181`	0.798	0.202	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.798	0.202	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.798	0.202	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.798	0.202	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.798	0.202	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.797	0.203	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.797	0.203	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.797	0.203	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.797	0.203	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.796	0.204	0.000
rs6751558 lBF = `9.74288` Chr`2` : `146,592,046`	0.796	0.204	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.794	0.206	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.794	0.206	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.794	0.206	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.793	0.207	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.793	0.207	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.792	0.208	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.792	0.208	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.792	0.208	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.791	0.209	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.791	0.209	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.791	0.209	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.791	0.209	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.790	0.210	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.790	0.210	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.790	0.210	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.789	0.211	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.789	0.211	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.789	0.211	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.789	0.211	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.788	0.212	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.788	0.212	0.000
rs115244944 lBF = `18.0031` Chr`1` : `5,826,134`	0.788	0.212	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.788	0.212	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.787	0.213	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.786	0.214	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.785	0.215	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.785	0.215	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.785	0.215	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.785	0.215	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.784	0.216	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.784	0.216	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.784	0.216	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.783	0.217	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.783	0.217	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.783	0.217	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.783	0.217	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.783	0.217	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.782	0.218	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.782	0.218	0.000
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Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.780	0.220	0.000
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rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.724	0.276	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.724	0.276	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.724	0.276	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.723	0.276	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.723	0.277	0.000
rs17156090 lBF = `8.64867` Chr`7` : `108,339,862`	0.722	0.278	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.722	0.278	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.722	0.278	0.000
rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.722	0.278	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.722	0.278	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.722	0.278	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.722	0.278	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.721	0.279	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.721	0.279	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.721	0.279	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.720	0.279	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.720	0.279	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.720	0.280	0.000
rs680753 lBF = `3.47044` Chr`11` : `102,711,581`	0.720	0.280	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.720	0.280	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.720	0.280	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.720	0.280	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.720	0.280	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.720	0.280	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.720	0.280	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.280	0.720
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.720	0.280	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.720	0.280	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.719	0.281	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.719	0.281	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.719	0.281	0.000
rs116187470 lBF = `4.21606` Chr`11` : `102,717,641`	0.719	0.281	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.719	0.281	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.719	0.281	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.719	0.281	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.719	0.281	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.719	0.281	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.718	0.281	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.718	0.281	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.718	0.282	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.718	0.282	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.718	0.282	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.718	0.282	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.717	0.283	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.717	0.283	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.717	0.283	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.717	0.283	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.717	0.283	0.000
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.717	0.283	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.716	0.284	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.716	0.284	0.000
rs655403 lBF = `2.92377` Chr`11` : `102,708,507`	0.716	0.284	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.716	0.284	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.715	0.284	0.000
rs569444 lBF = `2.966` Chr`11` : `102,707,305`	0.716	0.284	0.000
rs563096 lBF = `2.966` Chr`11` : `102,707,366`	0.716	0.284	0.000
rs605949 lBF = `2.966` Chr`11` : `102,705,747`	0.716	0.284	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.715	0.285	0.000
rs593698 lBF = `2.96088` Chr`11` : `102,704,476`	0.715	0.285	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.715	0.285	0.000
rs646910 lBF = `2.95877` Chr`11` : `102,709,522`	0.715	0.285	0.000
rs646760 lBF = `2.95553` Chr`11` : `102,703,278`	0.715	0.285	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.715	0.285	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.715	0.285	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.715	0.285	0.000
rs476762 lBF = `3.26344` Chr`11` : `102,710,707`	0.715	0.285	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.715	0.285	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.715	0.285	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.714	0.286	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.714	0.286	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.714	0.286	0.000
rs566125 lBF = `3.22901` Chr`11` : `102,710,471`	0.714	0.286	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.713	0.287	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.713	0.287	0.000
rs7366282 lBF = `1.05477` Chr`1` : `214,779,427`	0.713	0.287	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.713	0.287	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.713	0.287	0.000
rs9267660 lBF = `19.9749` Chr`6` : `31,851,884`	0.712	0.288	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.712	0.288	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.712	0.288	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.712	0.288	0.000
rs75737817 lBF = `15.4796` Chr`10` : `3,868,557`	0.712	0.288	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.711	0.288	0.000
rs118008540 lBF = `14.4387` Chr`6` : `111,739,245`	0.711	0.289	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.711	0.289	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.711	0.289	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.710	0.290	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.710	0.290	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.710	0.290	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.710	0.290	0.000
rs41272485 lBF = `12.7038` Chr`1` : `170,135,693`	0.710	0.290	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.710	0.290	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.710	0.290	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.709	0.291	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.709	0.291	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.709	0.291	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.709	0.291	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

0.5499

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5135

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0549

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9998

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9998

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9995

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9987

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9985

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9984

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9981

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9978

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9973

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9971

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9962

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9957

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9953

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9942

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9942

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9939

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9939

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9919

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9918

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.9886

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9874

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9863

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9858

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9838

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9828

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9816

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9803

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9796

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9790

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9778

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9757

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9749

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9746

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9738

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9734

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9712

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9702

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9694

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9690

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9678

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9649

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9638

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9635

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9615

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9566

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9553

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9552

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9547

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9538

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9497

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9490

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9457

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9456

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9446

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9415

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9390

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9386

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9374

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9351

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9283

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9255

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9244

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9229

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9225

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9210

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9205

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9191

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9161

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9133

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9127

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9126

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9091

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9023

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8968

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8958

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8942

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8919

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8919

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8915

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8894

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8871

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8857

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8760

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8728

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8702

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8699

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8692

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8624

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8602

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8575

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8546

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8506

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8469

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8445

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8428

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8405

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8371

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8351

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8345

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8318

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8285

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8274

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8248

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8212

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8166

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8165

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8117

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8098

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8082

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8059

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8050

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8024

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8019

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8013

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7998

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7957

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7838

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7812

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7725

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7638

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7637

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7622

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7595

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7567

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7533

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7499

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7485

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7464

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7450

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7445

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7408

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7406

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7405

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7311

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7306

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7289

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7279

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7154

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7149

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7135

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7118

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7089

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7025

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6997

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6969

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6955

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6953

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6858

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6767

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6714

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6708

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6595

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6324

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6277

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6255

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6236

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6188

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6185

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6114

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6098

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5914

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5906

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5875

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5863

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5843

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5827

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5751

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5741

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5717

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5710

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5663

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5605

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5567

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5329

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5269

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5239

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5169

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5123

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5061

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4979

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4960

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4784

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4637

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4512

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4487

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4484

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4342

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4297

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4184

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4136

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4123

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4087

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4027

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3620

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3483

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3348

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3311

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3279

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3252

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3130

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2726

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2701

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2658

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2367

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2330

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2264

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2074

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1657

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1591

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1513

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1289

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1282

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0666

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.

Parent term	S20-S29 Injuries to the thorax
Nested terms	S27.0 Traumatic pneumothorax S27.1 Traumatic haemothorax S27.2 Traumatic heamopneumothorax S27.3 Other injuries of lung S27.4 Injury of bronchus S27.5 Injury of thoracic trachea S27.6 Injury of pleura S27.7 Multiple injuries of intrathoracic organs S27.8 Injury of other specified intrathoracic organs S27.9 Injury of unspecified intrathoracic organ

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`)