TreeWAS – [G40.2] Localisation-related (focal) (partial) symptomatic epilepsy and epileptic syndromes with complex partial seizures

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
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.953	0.047	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.953	0.047	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.949	0.051	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.940	0.060	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.939	0.061	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.932	0.068	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.930	0.070	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.930	0.070	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.929	0.071	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.927	0.073	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.926	0.074	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.924	0.076	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.923	0.077	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.923	0.077	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.921	0.079	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.916	0.084	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.914	0.086	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.914	0.086	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.913	0.087	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.908	0.092	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.908	0.092	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.906	0.094	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.906	0.094	0.000
rs2227956 lBF = `126.303` Chr`6` : `31,778,272`	0.905	0.095	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.905	0.095	0.000
rs3828923 lBF = `31.9633` Chr`6` : `29,590,715`	0.904	0.096	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.904	0.096	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.903	0.097	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.902	0.098	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.901	0.099	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.898	0.102	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.895	0.105	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.889	0.111	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.885	0.115	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.884	0.116	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.878	0.122	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.877	0.123	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.876	0.124	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.873	0.127	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.869	0.131	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.868	0.132	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.865	0.135	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.865	0.135	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.861	0.139	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.859	0.141	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.858	0.142	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.853	0.147	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.850	0.150	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.849	0.151	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.849	0.151	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.848	0.152	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.847	0.153	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.847	0.153	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.841	0.158	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.840	0.160	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.840	0.160	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.838	0.162	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.838	0.162	0.000
rs6936204 lBF = `229.057` Chr`6` : `32,217,092`	0.838	0.162	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.836	0.164	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.833	0.167	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.832	0.168	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.831	0.169	0.000
rs29255 lBF = `27.5069` Chr`6` : `29,579,544`	0.830	0.170	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.830	0.170	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.830	0.170	0.000
rs715044 lBF = `27.9833` Chr`6` : `29,593,788`	0.830	0.170	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.829	0.171	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.827	0.173	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.827	0.173	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.826	0.174	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.826	0.174	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.824	0.176	0.000
rs28780087 lBF = `50.2342` Chr`6` : `30,109,773`	0.823	0.177	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.822	0.178	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.821	0.179	0.000
rs28780089 lBF = `50.8465` Chr`6` : `30,115,946`	0.820	0.180	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.819	0.181	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.819	0.181	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.818	0.182	0.000
rs2295663 lBF = `77.8075` Chr`6` : `31,669,295`	0.818	0.182	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.817	0.183	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.817	0.183	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.815	0.185	0.000
rs6916062 lBF = `69.9973` Chr`6` : `32,219,041`	0.814	0.186	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.813	0.187	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.811	0.189	0.000
rs28732193 lBF = `69.6869` Chr`6` : `32,306,922`	0.810	0.190	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.810	0.190	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.809	0.191	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.808	0.192	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.808	0.192	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.807	0.193	0.000
rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.806	0.194	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.805	0.195	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.804	0.196	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.804	0.196	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.803	0.197	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.803	0.197	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.803	0.197	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.803	0.197	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.802	0.198	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.800	0.200	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.800	0.200	0.000
rs7698598 lBF = `0.742457` Chr`4` : `119,951,647`	0.799	0.201	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.799	0.201	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.798	0.202	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.795	0.205	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.793	0.207	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.793	0.207	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.793	0.207	0.000
rs17472720 lBF = `34.2593` Chr`6` : `30,283,652`	0.793	0.207	0.000
rs2596551 lBF = `27.6033` Chr`6` : `31,332,239`	0.000	0.209	0.791
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.790	0.210	0.000
rs2272592 lBF = `130.912` Chr`6` : `31,698,352`	0.788	0.212	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.787	0.213	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.787	0.213	0.000
rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	0.785	0.215	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.782	0.218	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.782	0.218	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.781	0.219	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.781	0.219	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.779	0.221	0.000
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.777	0.223	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.777	0.223	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.776	0.224	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.776	0.224	0.000
rs521977 lBF = `212.79` Chr`6` : `31,836,827`	0.776	0.224	0.000
rs12528017 lBF = `25.769` Chr`6` : `29,544,551`	0.775	0.225	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.775	0.225	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.775	0.225	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.775	0.225	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.774	0.226	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.771	0.229	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.771	0.229	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.771	0.229	0.000
rs9267649 lBF = `133.096` Chr`6` : `31,824,828`	0.771	0.229	0.000
rs3130316 lBF = `174.356` Chr`6` : `32,221,228`	0.769	0.231	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.769	0.231	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.768	0.232	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.768	0.232	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.766	0.233	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.764	0.236	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.764	0.236	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.764	0.236	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.764	0.236	0.000
rs28986317 lBF = `61.8683` Chr`6` : `30,671,989`	0.762	0.238	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.761	0.239	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.761	0.239	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.760	0.240	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.760	0.240	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.760	0.240	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.758	0.242	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.758	0.242	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.757	0.243	0.000
rs3130320 lBF = `217.41` Chr`6` : `32,223,258`	0.757	0.243	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.757	0.243	0.000
rs9468487 lBF = `19.8045` Chr`6` : `29,107,052`	0.755	0.245	0.000
rs3115572 lBF = `176.853` Chr`6` : `32,220,484`	0.754	0.246	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.754	0.246	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.753	0.247	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.752	0.248	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.752	0.248	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.751	0.249	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.751	0.249	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.750	0.250	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.749	0.251	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.748	0.252	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.748	0.252	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.747	0.253	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.747	0.253	0.000
rs11965214 lBF = `60.7415` Chr`6` : `30,647,005`	0.746	0.254	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.745	0.255	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.744	0.255	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.741	0.259	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.740	0.260	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.739	0.261	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.739	0.261	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.739	0.261	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.738	0.262	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.738	0.262	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.736	0.264	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.733	0.267	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.733	0.267	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.732	0.268	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.732	0.268	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.732	0.268	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.731	0.269	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.731	0.269	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.731	0.269	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.729	0.271	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.729	0.271	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.728	0.272	0.000
rs9268167 lBF = `87.3034` Chr`6` : `32,272,437`	0.726	0.273	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.726	0.273	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.726	0.274	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.726	0.274	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.726	0.274	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.725	0.275	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.725	0.275	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.724	0.276	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.723	0.277	0.000
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rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.630	0.370	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.629	0.371	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.629	0.371	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.629	0.371	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.628	0.372	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.626	0.374	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.626	0.374	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.626	0.374	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.626	0.374	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.624	0.376	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.624	0.376	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.623	0.377	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.623	0.377	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.622	0.378	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.622	0.378	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.621	0.379	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.621	0.379	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.620	0.380	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.619	0.381	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.619	0.381	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.619	0.381	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.618	0.382	0.000
rs118068306 lBF = `14.8013` Chr`3` : `14,273,131`	0.618	0.382	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.617	0.382	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.617	0.383	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.617	0.383	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.616	0.384	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.615	0.385	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.615	0.385	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.614	0.386	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.614	0.386	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.614	0.386	0.000
rs9267659 lBF = `134.372` Chr`6` : `31,846,234`	0.614	0.386	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.613	0.387	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.613	0.387	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.613	0.387	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.612	0.388	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.612	0.388	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.612	0.388	0.000
rs9268135 lBF = `85.8206` Chr`6` : `32,255,230`	0.612	0.388	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.611	0.389	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.610	0.390	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.610	0.390	0.000
rs17398081 lBF = `15.3638` Chr`6` : `28,724,852`	0.610	0.390	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.609	0.391	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.609	0.391	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.609	0.391	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.608	0.391	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.608	0.392	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.607	0.393	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.607	0.393	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.607	0.393	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.607	0.393	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.607	0.393	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.607	0.393	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.607	0.393	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.606	0.393	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.606	0.394	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.605	0.395	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.605	0.395	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.604	0.396	0.000
rs72687020 lBF = `14.6249` Chr`14` : `44,923,657`	0.604	0.396	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.604	0.396	0.000
rs10242311 lBF = `0.612817` Chr`7` : `105,273,720`	0.604	0.396	0.000
rs17083533 lBF = `1.99367` Chr`6` : `121,730,722`	0.604	0.396	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.603	0.397	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.603	0.397	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.603	0.397	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.602	0.397	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.602	0.398	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.602	0.398	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.601	0.399	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.600	0.400	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.600	0.400	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.600	0.400	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.599	0.401	0.000
rs12663184 lBF = `34.6029` Chr`6` : `30,301,600`	0.599	0.401	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.599	0.401	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.599	0.401	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.598	0.402	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.598	0.402	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.597	0.403	0.000
rs3132931 lBF = `84.3484` Chr`6` : `32,235,895`	0.596	0.404	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.596	0.404	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.596	0.404	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.595	0.405	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.595	0.405	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.592	0.408	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.591	0.409	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.591	0.409	0.000
rs112239423 lBF = `13.0319` Chr`6` : `12,950,520`	0.590	0.410	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.590	0.410	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.589	0.410	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.588	0.412	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.588	0.412	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.588	0.412	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

0.8081

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9964

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9958

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9911

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9887

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9857

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9821

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9783

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9781

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9777

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9600

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9547

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9532

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9396

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9384

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9366

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9347

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9075

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9024

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8994

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8917

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8788

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8750

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8702

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8683

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8672

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8643

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8641

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8576

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8520

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8512

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8483

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8466

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8395

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8353

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8266

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8225

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8159

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8105

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7837

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7828

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7759

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7754

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7645

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7597

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7552

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7503

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7427

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7385

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7379

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7311

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7288

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7149

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7133

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6924

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6898

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6871

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6797

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6662

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6534

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6501

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6444

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6352

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5879

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5821

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5740

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5737

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5637

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5636

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5592

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5569

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5421

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5362

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5231

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5169

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5148

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5145

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5059

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4987

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4921

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4887

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4859

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4797

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4599

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4460

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4438

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4406

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4403

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4265

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4180

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4110

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4033

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4018

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4002

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3968

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3948

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3775

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3760

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3718

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3649

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3580

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3576

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3559

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3395

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3335

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3221

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3164

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3149

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2951

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2920

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2740

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2729

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2720

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2665

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2658

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2586

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2553

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2473

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2417

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2309

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2251

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2070

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2008

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1950

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1934

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1874

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1837

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1766

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1618

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1596

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1578

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1498

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1441

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1376

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1264

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1179

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1166

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1152

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1135

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1047

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1018

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0988

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0914

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0870

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0862

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0819

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0812

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0802

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0717

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0710

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0659

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0560

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0552

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0550

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0518

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`)