TreeWAS – [K25.6] Chronic or unspecified with both haemorrhage and perforation

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
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.710	0.290	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.637	0.363	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.610	0.390	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.587	0.413	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.564	0.436	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.551	0.449	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.548	0.452	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.539	0.460	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.509	0.491	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.505	0.495	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.484	0.515	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.439	0.560	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.407	0.593	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.389	0.611	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.381	0.619	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.380	0.620	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.353	0.647	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.345	0.655	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.335	0.665	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.328	0.672	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.324	0.676	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.323	0.677	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.308	0.691	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.290	0.710	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.288	0.712	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.272	0.727	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.269	0.731	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.266	0.734	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.266	0.734	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.266	0.734	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.246	0.753	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.234	0.766	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.233	0.767	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.197	0.802	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.193	0.807	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.176	0.824	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.147	0.853	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.113	0.887	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.106	0.894	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.102	0.897	0.001
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.095	0.904	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.081	0.919	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.078	0.921	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.075	0.925	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.073	0.926	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.066	0.934	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.060	0.940	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.048	0.952	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.046	0.954	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.037	0.963	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.036	0.964	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.033	0.967	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.032	0.968	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.028	0.972	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.028	0.972	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.022	0.978	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.021	0.979	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.016	0.983	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.015	0.985	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.013	0.987	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.012	0.988	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.988	0.012
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.012	0.988	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.010	0.990	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.010	0.990	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.008	0.992	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.007	0.993	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.007	0.993	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.006	0.993	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.006	0.994	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.005	0.994	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.000	0.995	0.005
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.005	0.995	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.004	0.995	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.004	0.996	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.000	0.996	0.004
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.004	0.996	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.003	0.997	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.003	0.997	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.003	0.997	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.002	0.998	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.002	0.998	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.002	0.998	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.002	0.998	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.998	0.002
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs28374715 lBF = `-0.0824573` Chr`15` : `41,563,950`	0.000	0.998	0.002
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.002	0.998	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.002	0.998	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.001	0.998	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.002	0.998	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.002	0.998	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.001	0.998	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.001	0.998	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.001	0.999	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.001	0.999	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.000	0.999	0.001
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.001	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	0.999	0.001
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.001	0.999	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.001	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.001	0.999	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.999	0.001
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.001	0.999	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.001	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.000	0.999	0.000
rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	0.999	0.001
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.000	0.999	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.001	0.999	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	0.999	0.001
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.000	0.999	0.001
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.999	0.001
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.000	0.999	0.001
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.000	0.999	0.001
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.000	0.999	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.001	0.999	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.001	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.001	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.000	0.999	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	0.999	0.001
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.001	0.999	0.000
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.001	0.999	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.000	0.999	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.999	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	0.999	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	0.999	0.000
rs3736485 lBF = `-0.10337` Chr`15` : `51,748,610`	0.000	0.999	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	0.999	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	0.999	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.000	0.999	0.000
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rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	1.000	0.000
rs3809566 lBF = `0.0327919` Chr`15` : `63,333,724`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs4775041 lBF = `0.0145541` Chr`15` : `58,674,695`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1352323 lBF = `-0.00755766` Chr`15` : `92,995,641`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	1.000	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	1.000	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.000	1.000	0.000
rs78472555 lBF = `-0.0673363` Chr`15` : `100,267,322`	0.000	1.000	0.000
rs56205728 lBF = `-0.0752702` Chr`15` : `40,567,237`	0.000	1.000	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.000	1.000	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	1.000	0.000
rs6576443 lBF = `-0.0848589` Chr`15` : `25,894,658`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.000	1.000	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	1.000	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.000	1.000	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	1.000	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	1.000	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	1.000	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	1.000	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	1.000	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.000	1.000	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	1.000	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	1.000	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	1.000	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	1.000	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	1.000	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	1.000	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	1.000	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	1.000	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	1.000	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	1.000	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	1.000	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	1.000	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.000	1.000	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.000	1.000	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	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 X0318

log Bayes Factor = 44.5459

contains 2 variants

0.4040

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3412

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7168

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7165

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7153

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7135

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7133

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7133

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7124

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7109

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7101

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7090

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7086

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7011

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6995

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6938

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6861

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6719

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6581

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6500

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6401

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6344

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6333

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6273

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6094

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6063

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6024

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5946

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5935

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5715

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5516

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4909

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4812

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4803

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4694

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4504

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4503

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4502

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4394

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4284

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3860

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3801

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3591

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3407

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3344

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3329

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2781

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2741

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2723

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2381

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2353

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2328

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2029

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1904

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1686

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1347

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1319

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0963

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0717

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0687

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0627

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0606

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0542

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`)