TreeWAS – [T85.1] Mechanical complication of implanted electronic stimulator of nervous system

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
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.879	0.121	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.829	0.171	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.807	0.193	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.805	0.195	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.805	0.195	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.801	0.199	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.796	0.204	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.792	0.208	0.000
rs1870323 lBF = `1.20012` Chr`11` : `86,188,152`	0.000	0.210	0.790
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.786	0.214	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.783	0.217	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.783	0.217	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.783	0.217	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.781	0.219	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.774	0.226	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.772	0.228	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.766	0.234	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.765	0.235	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.756	0.244	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.755	0.245	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.754	0.246	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.753	0.247	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.751	0.249	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.751	0.249	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.750	0.250	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.750	0.250	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.749	0.251	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.749	0.251	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.747	0.253	0.000
rs2881580 lBF = `10.3938` Chr`12` : `27,983,485`	0.745	0.255	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.745	0.255	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.744	0.256	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.739	0.261	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.739	0.261	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.735	0.265	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.734	0.266	0.000
rs116187470 lBF = `4.21606` Chr`11` : `102,717,641`	0.733	0.267	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.732	0.268	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.730	0.270	0.000
rs680753 lBF = `3.47044` Chr`11` : `102,711,581`	0.730	0.270	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.729	0.271	0.000
rs476762 lBF = `3.26344` Chr`11` : `102,710,707`	0.728	0.272	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.727	0.273	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.727	0.273	0.000
rs566125 lBF = `3.22901` Chr`11` : `102,710,471`	0.726	0.274	0.000
rs55783015 lBF = `20.745` Chr`10` : `127,276,562`	0.725	0.275	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.725	0.275	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.724	0.276	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.724	0.276	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.719	0.281	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.718	0.282	0.000
rs75340811 lBF = `6.54541` Chr`11` : `59,257,210`	0.718	0.282	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.716	0.284	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.715	0.285	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.715	0.285	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.711	0.289	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.711	0.289	0.000
rs76129882 lBF = `8.85261` Chr`11` : `59,406,860`	0.710	0.290	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.710	0.290	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.709	0.290	0.000
rs655403 lBF = `2.92377` Chr`11` : `102,708,507`	0.709	0.291	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.709	0.291	0.000
rs569444 lBF = `2.966` Chr`11` : `102,707,305`	0.708	0.292	0.000
rs563096 lBF = `2.966` Chr`11` : `102,707,366`	0.708	0.292	0.000
rs605949 lBF = `2.966` Chr`11` : `102,705,747`	0.708	0.292	0.000
rs593698 lBF = `2.96088` Chr`11` : `102,704,476`	0.708	0.292	0.000
rs646910 lBF = `2.95877` Chr`11` : `102,709,522`	0.708	0.292	0.000
rs646760 lBF = `2.95553` Chr`11` : `102,703,278`	0.708	0.292	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.707	0.292	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.707	0.293	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.706	0.294	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.706	0.294	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.705	0.295	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.704	0.296	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.704	0.296	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.703	0.297	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.703	0.297	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.702	0.298	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.702	0.298	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.702	0.298	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.702	0.298	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.702	0.298	0.000
rs114694170 lBF = `1.13651` Chr`5` : `88,180,196`	0.700	0.300	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.700	0.300	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.699	0.301	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.699	0.301	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.699	0.301	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.699	0.301	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.698	0.302	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.698	0.302	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.697	0.303	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.697	0.303	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.696	0.304	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.696	0.304	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.696	0.304	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.695	0.304	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.695	0.305	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.694	0.306	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.693	0.307	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.693	0.307	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	0.693	0.307	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.692	0.307	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.692	0.308	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.692	0.308	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.691	0.309	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.691	0.309	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.691	0.309	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.691	0.309	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.690	0.309	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.690	0.310	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.689	0.310	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.688	0.311	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.688	0.312	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.688	0.312	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.688	0.312	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.688	0.312	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.688	0.312	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.688	0.312	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.687	0.313	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.687	0.313	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.687	0.313	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.687	0.313	0.000
rs75732005 lBF = `11.1647` Chr`7` : `106,623,114`	0.687	0.313	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.687	0.313	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.686	0.314	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.685	0.315	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.685	0.315	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.685	0.315	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.685	0.315	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.685	0.315	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.685	0.315	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.685	0.315	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.685	0.315	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.685	0.315	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.685	0.315	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.685	0.315	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.684	0.316	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.684	0.316	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.684	0.316	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.684	0.316	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.683	0.316	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.683	0.316	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.683	0.317	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.683	0.317	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.683	0.317	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.682	0.318	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.682	0.318	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.682	0.318	0.000
rs78560828 lBF = `16.2878` Chr`11` : `59,544,305`	0.682	0.318	0.000
rs2900174 lBF = `7.38903` Chr`12` : `11,547,532`	0.682	0.318	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.682	0.318	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.681	0.319	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.681	0.319	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.681	0.319	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.681	0.319	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.681	0.319	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.681	0.319	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.681	0.319	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.681	0.319	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.681	0.319	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.680	0.319	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.680	0.320	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.679	0.320	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.679	0.321	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.679	0.321	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.679	0.321	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.678	0.322	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.678	0.322	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.678	0.322	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.678	0.322	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.678	0.322	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.678	0.322	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.677	0.323	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.677	0.323	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.676	0.324	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.676	0.324	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.676	0.324	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.676	0.324	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.676	0.324	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.676	0.324	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.675	0.325	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.675	0.325	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.675	0.325	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.675	0.325	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.675	0.325	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.674	0.325	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.674	0.326	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.674	0.326	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.673	0.327	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.673	0.327	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.673	0.327	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.673	0.327	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.673	0.327	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.672	0.327	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.672	0.327	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.672	0.328	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.672	0.328	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.672	0.328	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.672	0.328	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.671	0.328	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.671	0.328	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.671	0.329	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.671	0.329	0.000
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rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.628	0.372	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.628	0.372	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.627	0.373	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.627	0.373	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.627	0.373	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.627	0.373	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.627	0.373	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.627	0.373	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.627	0.373	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.627	0.373	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.626	0.373	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.626	0.373	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.627	0.373	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.626	0.374	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.626	0.374	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.626	0.374	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.626	0.374	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.626	0.374	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.625	0.375	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.625	0.375	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.625	0.375	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.624	0.375	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.624	0.376	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.624	0.376	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.623	0.377	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.623	0.377	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.623	0.377	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.623	0.377	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.623	0.377	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.622	0.378	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.622	0.378	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.621	0.378	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.621	0.378	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.621	0.378	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.621	0.379	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.621	0.379	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.621	0.379	0.000
rs61874140 lBF = `12.9265` Chr`10` : `123,435,982`	0.621	0.379	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.621	0.379	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.620	0.379	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.620	0.380	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.620	0.380	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.620	0.380	0.000
rs116226697 lBF = `14.4064` Chr`6` : `31,470,455`	0.620	0.380	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.620	0.380	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.620	0.380	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.619	0.380	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.619	0.381	0.000
rs114752366 lBF = `15.9284` Chr`5` : `20,126,254`	0.619	0.381	0.000
rs16887604 lBF = `11.436` Chr`6` : `77,149,658`	0.619	0.381	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.618	0.382	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.618	0.382	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.618	0.382	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.618	0.382	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.618	0.382	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.618	0.382	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.617	0.383	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.617	0.383	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.617	0.383	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.617	0.383	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.617	0.383	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.617	0.383	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.617	0.383	0.000
rs906628 lBF = `0.99732` Chr`11` : `134,738,270`	0.617	0.383	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.617	0.383	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.616	0.383	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.616	0.384	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.616	0.384	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.616	0.384	0.000
rs77492256 lBF = `13.3135` Chr`2` : `180,294,914`	0.616	0.384	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.616	0.384	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.615	0.385	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.615	0.385	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.615	0.385	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.615	0.385	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.614	0.386	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.614	0.386	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.613	0.386	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.613	0.386	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.613	0.387	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.613	0.387	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.613	0.387	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.612	0.388	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.612	0.388	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.612	0.388	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.612	0.388	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.612	0.388	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.612	0.388	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.612	0.388	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.612	0.388	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.612	0.388	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.611	0.388	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.611	0.388	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.611	0.389	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.611	0.389	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.611	0.389	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

0.6480

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6056

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9737

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9617

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9408

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.9311

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9310

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9284

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9180

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9178

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9147

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8915

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8835

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8771

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8612

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8609

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8466

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8416

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8396

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8392

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8381

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8294

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8287

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8260

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8259

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8252

Cluster X0056

log Bayes Factor = 15.088

contains 2 variants

0.8217

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8094

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8081

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8014

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7957

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7935

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7914

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7898

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7892

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7861

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7837

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7775

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7764

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7749

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7621

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7612

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7574

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7531

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7507

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7500

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7383

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7336

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7311

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7243

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7168

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7167

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7165

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7162

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7160

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7157

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7155

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7152

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7147

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7145

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7143

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7139

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7121

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7116

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7114

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7077

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7065

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7048

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7044

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7023

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7013

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7008

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7002

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6975

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6951

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6913

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6906

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6894

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6887

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6880

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6864

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6860

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6771

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6671

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6671

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6569

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6563

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6540

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6539

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6469

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6369

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6359

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6338

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6199

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6103

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6043

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5928

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5904

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5874

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5850

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5764

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5721

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5572

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5566

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5452

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5245

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5142

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5113

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5017

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4913

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4737

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4590

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4524

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4457

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4371

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4264

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4260

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4249

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4232

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4189

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4159

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4102

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3976

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3947

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3918

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3768

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3615

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3587

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3308

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3290

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3285

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3173

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3036

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3021

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2926

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2781

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2768

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2709

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2464

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2452

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2391

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2242

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2238

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2045

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2045

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1998

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1975

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1907

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1739

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1717

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1541

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1515

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1482

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1477

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1415

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1385

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1362

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1362

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1293

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1208

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1152

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1125

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1069

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0903

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0876

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0847

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0828

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0649

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0579

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.0579

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0514

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`)