TreeWAS – [I69.0] Sequelae of subarachnoid haemorrhage

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
rs7722186 lBF = `6.47923` Chr`5` : `74,576,285`	0.000	0.045	0.955
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	0.063	0.937
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.935	0.065	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	0.067	0.933
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	0.067	0.933
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	0.068	0.932
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	0.068	0.932
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	0.068	0.932
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	0.068	0.932
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.932	0.068	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	0.068	0.932
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	0.068	0.932
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.931	0.069	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	0.069	0.931
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.931	0.069	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	0.069	0.931
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.931	0.069	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.931	0.069	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.931	0.069	0.000
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.930	0.070	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.930	0.070	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.930	0.070	0.000
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.930	0.070	0.000
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.930	0.070	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.930	0.070	0.000
rs2656072 lBF = `10.8529` Chr`15` : `78,744,292`	0.930	0.070	0.000
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.930	0.070	0.000
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.930	0.070	0.000
rs2656073 lBF = `10.8682` Chr`15` : `78,742,276`	0.930	0.070	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	0.070	0.930
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.000	0.070	0.930
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.000	0.070	0.930
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.930	0.070	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.930	0.070	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.930	0.070	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	0.070	0.930
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.929	0.071	0.000
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.929	0.071	0.000
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.929	0.071	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	0.000	0.071	0.929
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.929	0.071	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.928	0.072	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.928	0.072	0.000
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.928	0.072	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.928	0.072	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.928	0.072	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.928	0.072	0.000
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.927	0.073	0.000
rs3846662 lBF = `8.07221` Chr`5` : `74,651,084`	0.000	0.073	0.927
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.927	0.073	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.927	0.073	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.927	0.073	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.927	0.073	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.926	0.074	0.000
rs8042238 lBF = `21.0848` Chr`15` : `78,774,271`	0.000	0.076	0.924
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	0.080	0.920
rs13180 lBF = `20.7136` Chr`15` : `78,789,488`	0.000	0.080	0.920
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	0.086	0.914
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.911	0.089	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	0.098	0.902
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	0.105	0.895
rs5744680 lBF = `6.97231` Chr`5` : `74,879,890`	0.000	0.113	0.887
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.120	0.880
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.878	0.122	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.878	0.122	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.876	0.124	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	0.124	0.876
rs6871667 lBF = `8.47468` Chr`5` : `74,604,742`	0.000	0.125	0.875
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	0.131	0.869
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	0.131	0.869
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	0.132	0.868
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.868	0.132	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	0.132	0.868
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.133	0.867
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	0.133	0.867
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	0.135	0.865
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	0.135	0.865
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	0.135	0.865
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	0.136	0.864
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	0.137	0.863
rs4839524 lBF = `0.828926` Chr`1` : `116,800,201`	0.000	0.137	0.863
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	0.139	0.861
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	0.139	0.861
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	0.139	0.861
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	0.139	0.861
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	0.140	0.860
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	0.140	0.860
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	0.140	0.860
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	0.141	0.859
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	0.142	0.858
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.854	0.146	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	0.149	0.851
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.850	0.150	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	0.153	0.847
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	0.154	0.846
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	0.154	0.846
Affx-21291542 lBF = `12.1623` Chr`3` : `141,344,672`	0.842	0.158	0.000
rs11748027 lBF = `6.92606` Chr`5` : `74,909,972`	0.000	0.161	0.839
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.833	0.167	0.000
rs77224425 lBF = `14.1778` Chr`7` : `36,087,216`	0.832	0.168	0.000
rs17671591 lBF = `11.0442` Chr`5` : `74,615,021`	0.000	0.170	0.830
rs4704187 lBF = `1.9277` Chr`5` : `74,480,288`	0.000	0.171	0.829
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.827	0.173	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.824	0.176	0.000
rs4703667 lBF = `9.35337` Chr`5` : `74,613,906`	0.000	0.177	0.823
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.821	0.179	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.810	0.190	0.000
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.000	0.191	0.809
rs7745040 lBF = `331.674` Chr`6` : `32,664,332`	0.809	0.191	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.808	0.192	0.000
rs3843482 lBF = `8.23943` Chr`5` : `74,639,259`	0.000	0.193	0.807
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.806	0.194	0.000
rs10038095 lBF = `8.20805` Chr`5` : `74,637,711`	0.000	0.195	0.805
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.803	0.196	0.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	0.800	0.200	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.799	0.201	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.798	0.202	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.797	0.203	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.797	0.203	0.000
rs10045497 lBF = `8.22738` Chr`5` : `74,636,484`	0.000	0.204	0.796
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.795	0.205	0.000
rs2306374 lBF = `6.17243` Chr`3` : `138,119,952`	0.794	0.206	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.794	0.206	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.794	0.206	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.794	0.206	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.793	0.207	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.791	0.209	0.000
rs7703051 lBF = `8.25314` Chr`5` : `74,625,487`	0.000	0.209	0.791
rs12654264 lBF = `8.31383` Chr`5` : `74,648,603`	0.000	0.210	0.790
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.790	0.210	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.788	0.212	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.787	0.213	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	0.214	0.786
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.783	0.217	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.782	0.218	0.000
rs17229494 lBF = `5.20366` Chr`21` : `38,928,100`	0.782	0.218	0.000
rs7936890 lBF = `12.0045` Chr`11` : `124,931,559`	0.781	0.219	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.780	0.220	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.779	0.221	0.000
rs1333040 lBF = `229.258` Chr`9` : `22,083,404`	0.000	0.221	0.779
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.778	0.222	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.778	0.222	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.777	0.223	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.775	0.225	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.775	0.225	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.773	0.227	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.773	0.227	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.771	0.229	0.000
rs78015367 lBF = `11.8247` Chr`5` : `61,608,981`	0.771	0.229	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.769	0.231	0.000
rs1026385 lBF = `13.205` Chr`14` : `69,786,063`	0.766	0.234	0.000
rs3918226 lBF = `61.7604` Chr`7` : `150,690,176`	0.765	0.235	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.762	0.238	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.761	0.239	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.760	0.240	0.000
rs591166 lBF = `2.16446` Chr`18` : `57,841,589`	0.000	0.240	0.760
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.760	0.240	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.759	0.241	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.758	0.242	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.758	0.242	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.757	0.243	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.757	0.243	0.000
rs56098814 lBF = `23.6862` Chr`5` : `61,908,151`	0.756	0.244	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.752	0.248	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.751	0.249	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.750	0.250	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.749	0.251	0.000
rs3846663 lBF = `8.28548` Chr`5` : `74,655,726`	0.000	0.252	0.748
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.748	0.252	0.000
rs9488238 lBF = `2.8638` Chr`6` : `114,017,133`	0.747	0.252	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.747	0.253	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.746	0.254	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.745	0.255	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.744	0.256	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.743	0.257	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.743	0.257	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.742	0.258	0.000
rs2331841 lBF = `1.76608` Chr`18` : `57,828,637`	0.000	0.259	0.741
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.740	0.260	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.739	0.261	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.739	0.261	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.738	0.262	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.738	0.262	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.738	0.262	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.737	0.263	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.737	0.263	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.736	0.264	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.736	0.264	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.733	0.267	0.000
rs9471075 lBF = `4.59465` Chr`6` : `39,307,032`	0.731	0.269	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.731	0.269	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.730	0.270	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.728	0.272	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.728	0.272	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.727	0.273	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.727	0.273	0.000
rs7516789 lBF = `13.6841` Chr`1` : `67,945,956`	0.726	0.274	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.726	0.274	0.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.725	0.274	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.725	0.274	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.725	0.275	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.724	0.276	0.000
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rs115065086 lBF = `12.3717` Chr`2` : `36,397,485`	0.646	0.353	0.000
rs10757272 lBF = `363.174` Chr`9` : `22,088,260`	0.646	0.354	0.000
rs17042171 lBF = `64.7702` Chr`4` : `111,708,287`	0.646	0.354	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.645	0.355	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.644	0.356	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.644	0.356	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.644	0.356	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.644	0.356	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.644	0.356	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.642	0.358	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.642	0.358	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.642	0.358	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.641	0.359	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.641	0.359	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.641	0.359	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.640	0.359	0.000
rs74818966 lBF = `15.4722` Chr`5` : `37,985,073`	0.640	0.360	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.640	0.360	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.640	0.360	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.639	0.361	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.639	0.361	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.639	0.361	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.638	0.362	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.637	0.362	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.637	0.363	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.637	0.363	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.637	0.363	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.637	0.363	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.636	0.363	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.636	0.364	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.636	0.364	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.636	0.364	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.635	0.365	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.635	0.365	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.634	0.366	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.634	0.366	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.634	0.366	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.634	0.366	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.633	0.367	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.633	0.367	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.632	0.367	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	0.368	0.632
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.631	0.369	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.631	0.369	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.631	0.369	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.631	0.369	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.631	0.369	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.631	0.369	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.631	0.369	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.630	0.370	0.000
rs11575907 lBF = `33.192` Chr`6` : `32,782,112`	0.630	0.370	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.630	0.370	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.630	0.370	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.630	0.370	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.630	0.370	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.629	0.371	0.000
rs2383207 lBF = `354.618` Chr`9` : `22,115,959`	0.000	0.371	0.629
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.629	0.371	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.629	0.371	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.628	0.372	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.628	0.372	0.000
rs12492298 lBF = `14.9582` Chr`3` : `65,720,358`	0.628	0.372	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.628	0.372	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.627	0.372	0.000
rs41273213 lBF = `12.0855` Chr`1` : `156,880,190`	0.627	0.373	0.000
rs10733376 lBF = `361.867` Chr`9` : `22,114,469`	0.627	0.373	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.626	0.373	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.626	0.374	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.626	0.374	0.000
rs944797 lBF = `364.833` Chr`9` : `22,115,286`	0.626	0.374	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.626	0.374	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.625	0.374	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.625	0.374	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.625	0.375	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.625	0.375	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.625	0.375	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.625	0.375	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.625	0.375	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.624	0.376	0.000
rs7907139 lBF = `7.56397` Chr`10` : `107,833,640`	0.622	0.377	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.622	0.378	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.622	0.378	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.621	0.379	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.621	0.379	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.621	0.379	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.621	0.379	0.000
rs4977574 lBF = `376.576` Chr`9` : `22,098,574`	0.621	0.379	0.000
rs2168211 lBF = `16.1589` Chr`14` : `31,000,608`	0.620	0.380	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.620	0.380	0.000
rs1537370 lBF = `339.752` Chr`9` : `22,084,310`	0.620	0.380	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.620	0.380	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.620	0.380	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	0.620	0.380	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.620	0.380	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.620	0.380	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.620	0.380	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 X0292

log Bayes Factor = 11.0442

contains 1 variants

0.8304

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3001

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0626

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9996

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9954

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9936

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9910

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9850

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9846

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9829

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9815

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9771

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9762

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9707

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9696

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9659

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9657

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9626

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9608

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9574

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9542

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9505

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9470

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9426

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9383

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9316

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9292

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9266

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9257

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9223

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9212

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9152

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9132

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9079

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9075

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9070

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9059

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9037

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8992

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8947

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8939

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8873

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8822

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8803

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8689

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8685

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8656

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8643

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8639

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8605

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8596

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8567

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8557

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8550

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8542

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8531

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8526

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8523

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8511

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8509

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8509

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8505

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8483

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8463

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8446

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8370

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8338

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8330

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8258

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8251

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8245

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8082

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8075

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8043

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8041

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8010

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7990

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7954

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7931

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7858

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7796

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7749

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7741

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7704

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7672

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7603

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7597

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7487

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7468

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7408

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7368

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7286

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7270

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7243

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7169

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7095

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7074

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7014

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6899

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6859

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6857

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6778

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6759

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6723

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6694

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6628

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6586

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6467

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6417

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6414

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6404

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6254

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6227

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6189

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6114

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6067

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6046

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6028

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5939

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5898

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5831

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5753

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5736

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5610

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5601

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5592

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5554

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5520

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5478

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5415

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.5365

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5285

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5256

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5183

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5164

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5162

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4973

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4925

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4897

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4888

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4800

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4754

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4679

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.4458

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4329

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4229

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4222

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4113

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4069

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3997

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3996

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3885

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3844

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3813

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3788

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3657

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3531

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3456

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3311

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3270

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3224

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.3131

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3109

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3054

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3018

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3003

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2421

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2414

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2257

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2215

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2119

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1829

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1704

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.1626

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1575

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1434

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1182

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1064

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0976

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0946

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0919

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0855

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0536

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`)