TreeWAS – [C45-C49] Malignant neoplasms of mesothelial and soft tissue

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

C45-C49

Malignant neoplasms of mesothelial and soft tissue

Parent term	Chapter II Neoplasms
Nested terms	C45 Mesothelioma C46 Kaposi's sarcoma C47 Malignant neoplasm of peripheral nerves and autonomic nervous system C48 Malignant neoplasm of retroperitoneum and peritoneum C49 Malignant neoplasm of other connective and soft tissue

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Variant effects

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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
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.998	0.002	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.993	0.007	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.990	0.010	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.989	0.011	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.986	0.014	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.985	0.015	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.983	0.017	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.983	0.017	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.021	0.979
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.977	0.023	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.973	0.027	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.971	0.029	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.971	0.029	0.000
rs1853092 lBF = `13.3769` Chr`20` : `2,304,376`	0.970	0.030	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.969	0.031	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.966	0.034	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.962	0.038	0.000
rs77644898 lBF = `5.78522` Chr`1` : `234,899,258`	0.961	0.039	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.960	0.040	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.960	0.040	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.960	0.040	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.955	0.045	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.954	0.046	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.952	0.048	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.950	0.050	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.948	0.052	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.947	0.053	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.945	0.055	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.945	0.055	0.000
rs76921037 lBF = `6.40704` Chr`11` : `87,489,538`	0.941	0.059	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.940	0.060	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.938	0.062	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.937	0.063	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.935	0.065	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.934	0.066	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.932	0.068	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.931	0.069	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.930	0.070	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.929	0.071	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.929	0.071	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.926	0.074	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.926	0.074	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.924	0.076	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.924	0.076	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.924	0.076	0.000
rs6903823 lBF = `89.9101` Chr`6` : `28,322,296`	0.924	0.076	0.000
rs6921919 lBF = `92.1777` Chr`6` : `28,325,201`	0.922	0.078	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.920	0.080	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.919	0.081	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.918	0.082	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.918	0.082	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.917	0.083	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.917	0.083	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.917	0.083	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.916	0.084	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.916	0.084	0.000
rs2236602 lBF = `12.1767` Chr`1` : `156,627,069`	0.916	0.084	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.915	0.085	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.915	0.085	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.915	0.085	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.915	0.085	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.914	0.086	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.914	0.086	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.914	0.086	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.913	0.087	0.000
rs143294703 lBF = `20.8117` Chr`7` : `6,194,213`	0.913	0.087	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.912	0.088	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.911	0.089	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.911	0.089	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.910	0.090	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	0.909	0.091	0.000
rs37004 lBF = `36.028` Chr`5` : `1,356,684`	0.000	0.091	0.909
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.909	0.091	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.908	0.092	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.908	0.092	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.908	0.092	0.000
rs565229 lBF = `1.36315` Chr`11` : `122,189,465`	0.908	0.092	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.907	0.093	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.907	0.093	0.000
rs3217992 lBF = `200.854` Chr`9` : `22,003,223`	0.000	0.093	0.907
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.907	0.093	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.906	0.094	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.905	0.095	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.904	0.096	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.904	0.096	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.903	0.097	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	0.903	0.097	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.903	0.097	0.000
rs11601321 lBF = `4.40566` Chr`11` : `125,193,596`	0.902	0.098	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.902	0.098	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.902	0.098	0.000
rs12123821 lBF = `14.5195` Chr`1` : `152,179,152`	0.902	0.098	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.902	0.098	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.901	0.099	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.900	0.100	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.900	0.100	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.898	0.102	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.898	0.102	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.898	0.102	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.897	0.103	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.897	0.103	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.896	0.104	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.895	0.105	0.000
rs9273529 lBF = `237.135` Chr`6` : `32,628,698`	0.895	0.105	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.894	0.106	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.893	0.107	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.893	0.107	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.892	0.108	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.892	0.108	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.892	0.108	0.000
rs56207248 lBF = `6.58472` Chr`2` : `25,065,986`	0.891	0.109	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.891	0.109	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	0.889	0.111	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.888	0.112	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.888	0.112	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.887	0.113	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.887	0.113	0.000
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.886	0.114	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.886	0.114	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.886	0.114	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.884	0.116	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.884	0.116	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.883	0.117	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.882	0.118	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.882	0.118	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.882	0.118	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.882	0.118	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.881	0.119	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.881	0.119	0.000
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.881	0.119	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.881	0.119	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.879	0.121	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.879	0.121	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.879	0.121	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.878	0.122	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.878	0.122	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.878	0.122	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.878	0.122	0.000
rs538867 lBF = `1.14952` Chr`3` : `39,513,278`	0.877	0.123	0.000
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.876	0.124	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.876	0.124	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.875	0.125	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.875	0.125	0.000
rs56131013 lBF = `87.9877` Chr`6` : `28,320,677`	0.875	0.125	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.874	0.126	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.874	0.126	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.871	0.129	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.871	0.129	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.871	0.129	0.000
rs10493807 lBF = `10.1493` Chr`1` : `88,622,731`	0.871	0.129	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.871	0.129	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.871	0.129	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.870	0.129	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.870	0.130	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.130	0.870
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.870	0.130	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.870	0.130	0.000
rs3770657 lBF = `7.98305` Chr`2` : `67,630,980`	0.869	0.131	0.000
rs3793891 lBF = `6.15257` Chr`10` : `112,264,964`	0.869	0.131	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.869	0.131	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.869	0.131	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.869	0.131	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.868	0.132	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.868	0.132	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.868	0.132	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.868	0.132	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.867	0.133	0.000
rs62295986 lBF = `9.09224` Chr`3` : `169,354,710`	0.867	0.133	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.867	0.133	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.867	0.133	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.867	0.133	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.866	0.133	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.866	0.134	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.866	0.134	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.866	0.134	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.866	0.134	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.866	0.134	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.865	0.135	0.000
rs6903652 lBF = `89.1572` Chr`6` : `28,322,120`	0.865	0.135	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.864	0.136	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.864	0.136	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.863	0.137	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.863	0.137	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.863	0.137	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.862	0.137	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.862	0.138	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.862	0.138	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.862	0.138	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.862	0.138	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.862	0.138	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.861	0.139	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.861	0.139	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.861	0.139	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.861	0.139	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.861	0.139	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.860	0.140	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.860	0.140	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.860	0.140	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.860	0.140	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.860	0.140	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.860	0.140	0.000
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rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.858	0.142	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.858	0.142	0.000
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rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.858	0.142	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.857	0.143	0.000
rs72968050 lBF = `5.82182` Chr`11` : `90,658,003`	0.857	0.143	0.000
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rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.856	0.144	0.000
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rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.855	0.145	0.000
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rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.854	0.146	0.000
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rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.853	0.147	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.852	0.148	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.852	0.148	0.000
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rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.852	0.148	0.000
rs9276556 lBF = `47.6167` Chr`6` : `32,723,233`	0.852	0.148	0.000
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rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.845	0.155	0.000
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Affx-28486470 lBF = `253.054` Chr`6` : `32,546,879`	0.844	0.156	0.000
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rs4632337 lBF = `14.828` Chr`2` : `216,766,065`	0.840	0.160	0.000
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rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.833	0.167	0.000
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rs2050188 lBF = `209.683` Chr`6` : `32,339,897`	0.000	0.170	0.830
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rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.822	0.178	0.000
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rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.822	0.178	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.821	0.179	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.821	0.179	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	0.821	0.179	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.821	0.179	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.821	0.179	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.821	0.179	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.820	0.180	0.000
rs75580679 lBF = `22.8822` Chr`3` : `77,420,959`	0.820	0.180	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.820	0.180	0.000
rs114562781 lBF = `12.6872` Chr`5` : `176,528,793`	0.820	0.180	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.820	0.180	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.819	0.181	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.819	0.181	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.819	0.181	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.819	0.181	0.000
rs7772827 lBF = `79.203` Chr`6` : `28,301,143`	0.819	0.181	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.819	0.181	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.819	0.181	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.819	0.181	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.819	0.181	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.819	0.181	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.818	0.182	0.000
rs9461908 lBF = `53.4251` Chr`6` : `33,736,082`	0.818	0.182	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.818	0.182	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.818	0.182	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.818	0.182	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.818	0.182	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.817	0.183	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.817	0.183	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.817	0.183	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.817	0.183	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.817	0.183	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.817	0.183	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.817	0.183	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.816	0.184	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.816	0.184	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.816	0.184	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.816	0.184	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.816	0.184	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.816	0.184	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.816	0.184	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	0.816	0.184	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.816	0.184	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.815	0.185	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.815	0.185	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.815	0.185	0.000
rs28366302 lBF = `252.399` Chr`6` : `32,560,934`	0.815	0.185	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.815	0.185	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.815	0.185	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.815	0.185	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.815	0.185	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.814	0.186	0.000
rs2395185 lBF = `246.003` Chr`6` : `32,433,167`	0.814	0.186	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.814	0.186	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.814	0.186	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.814	0.186	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.814	0.186	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.813	0.187	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.813	0.187	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.813	0.187	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.813	0.187	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.813	0.187	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.813	0.187	0.000
rs13016963 lBF = `27.0109` Chr`2` : `202,162,811`	0.000	0.187	0.813
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.812	0.188	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.812	0.188	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.812	0.188	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.812	0.188	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.812	0.188	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.812	0.188	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.812	0.188	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.812	0.188	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.812	0.188	0.000
rs28724008 lBF = `253.172` Chr`6` : `32,550,550`	0.811	0.189	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.811	0.189	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.811	0.189	0.000
rs61854881 lBF = `14.6098` Chr`10` : `90,878,904`	0.811	0.189	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.811	0.189	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.810	0.189	0.000
rs74903566 lBF = `11.9479` Chr`9` : `21,941,315`	0.810	0.190	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.810	0.190	0.000
rs11199874 lBF = `17.2829` Chr`10` : `123,032,519`	0.810	0.190	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.810	0.190	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.810	0.190	0.000
rs6902257 lBF = `8.36538` Chr`6` : `81,481,354`	0.810	0.190	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.810	0.190	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.810	0.190	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.810	0.190	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.810	0.190	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.809	0.191	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.809	0.191	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.809	0.191	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	0.809	0.191	0.000
rs443198 lBF = `204.432` Chr`6` : `32,190,406`	0.808	0.192	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.808	0.192	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.808	0.192	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.808	0.192	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.808	0.192	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.808	0.192	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.808	0.192	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6448

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.5720

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5221

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2249

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.0734

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

1.0000

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

1.0000

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

1.0000

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9999

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9999

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9999

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9999

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9999

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9998

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9998

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9998

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9998

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9997

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9996

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9995

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9995

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9994

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9994

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9994

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9994

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9994

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9993

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9993

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9993

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9992

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9990

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9990

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9989

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9988

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9988

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9987

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9986

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9985

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9982

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9981

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9980

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9979

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9974

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9974

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9973

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9968

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9965

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9964

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9963

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9955

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9948

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.9943

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9942

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9940

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9937

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9935

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9928

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9927

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9925

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9924

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9922

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9922

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9914

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9911

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9906

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9902

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9896

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9896

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9894

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9893

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9891

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9886

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9884

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9881

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9872

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9856

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9849

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9831

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9817

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9817

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9814

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9809

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9796

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9775

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9772

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9767

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9744

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9738

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9719

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9717

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9710

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9701

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9696

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9691

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9685

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9677

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9662

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9651

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9650

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9643

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9638

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9626

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9624

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9612

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9595

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9580

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9570

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9566

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9554

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9552

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9530

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9491

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9489

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9461

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.9459

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9423

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.9406

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9399

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9369

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9325

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9307

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9296

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9281

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9253

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9246

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9238

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9234

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9199

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9148

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9132

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9124

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9117

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9103

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9102

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9089

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9081

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9073

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9019

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9009

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8989

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8973

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8969

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8956

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8953

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8951

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8933

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.8915

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8877

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8839

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8801

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8725

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8713

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.8700

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8700

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8695

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8690

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8662

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8659

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8637

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8541

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.8489

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8473

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8447

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8445

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8369

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8268

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8222

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8179

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8082

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7956

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7925

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7925

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7923

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7919

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7890

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7811

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7809

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7754

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7724

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7712

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7576

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7552

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7437

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7429

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7422

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7420

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7295

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7292

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.7289

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7287

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7210

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7119

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6932

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6764

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6710

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.6514

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6507

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6270

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5984

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.5863

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.5485

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5363

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.5311

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.5179

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5126

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5093

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4504

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.4334

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3371

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1924

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1549

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1493

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0723

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0660

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0643

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0634

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)

Hospitalization Episode Statistics (`HES`)