TreeWAS – [I45.2] Bifascicular block

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
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.785	0.215	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.781	0.219	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.762	0.238	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.676	0.324	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.670	0.330	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.664	0.336	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.655	0.345	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.649	0.351	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.638	0.362	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.636	0.364	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.615	0.385	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.613	0.386	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.607	0.393	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.600	0.400	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.597	0.403	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.595	0.405	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.588	0.412	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.585	0.414	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.578	0.421	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.571	0.429	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.569	0.431	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.569	0.431	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.564	0.436	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.544	0.456	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.534	0.465	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.533	0.467	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.526	0.474	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.523	0.477	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.516	0.484	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.514	0.486	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.509	0.491	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.507	0.492	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.499	0.501	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.497	0.503	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.490	0.510	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.473	0.527	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.462	0.538	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.449	0.551	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.441	0.559	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.435	0.565	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.434	0.566	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.431	0.569	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.418	0.581	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.412	0.588	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.412	0.588	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.406	0.594	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.401	0.599	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.389	0.611	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.371	0.629	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.370	0.630	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.332	0.668	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.327	0.673	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.290	0.710	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.286	0.713	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.285	0.715	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.284	0.716	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.283	0.717	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.282	0.718	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.280	0.719	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.269	0.731	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.265	0.734	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.261	0.739	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.257	0.743	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.248	0.752	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.246	0.754	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.232	0.767	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.219	0.781	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.213	0.787	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.211	0.789	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.204	0.796	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.193	0.807	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.190	0.809	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.190	0.809	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.189	0.811	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.188	0.811	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.186	0.814	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.180	0.820	0.000
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.179	0.821	0.000
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.177	0.823	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.177	0.823	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.172	0.828	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.171	0.829	0.000
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.171	0.829	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.168	0.832	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.168	0.832	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.164	0.836	0.000
rs12594711 lBF = `23.1532` Chr`15` : `78,793,921`	0.162	0.838	0.000
rs965604 lBF = `23.272` Chr`15` : `78,789,223`	0.162	0.838	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.161	0.839	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.161	0.839	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.161	0.839	0.000
rs12899351 lBF = `23.481` Chr`15` : `78,792,398`	0.161	0.839	0.000
rs4362358 lBF = `23.1905` Chr`15` : `78,796,104`	0.158	0.842	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.157	0.843	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.138	0.862	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.136	0.864	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.130	0.869	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.130	0.870	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.129	0.870	0.000
rs1062980 lBF = `21.6264` Chr`15` : `78,792,527`	0.000	0.876	0.124
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.118	0.882	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.111	0.889	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.109	0.891	0.000
rs4887057 lBF = `21.4579` Chr`15` : `78,760,918`	0.000	0.901	0.099
rs8042238 lBF = `21.0848` Chr`15` : `78,774,271`	0.000	0.909	0.091
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.087	0.913	0.000
rs13180 lBF = `20.7136` Chr`15` : `78,789,488`	0.000	0.915	0.085
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	0.917	0.083
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.081	0.918	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	0.919	0.081
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.075	0.925	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.067	0.933	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.062	0.938	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	0.940	0.060
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.060	0.940	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.055	0.943	0.002
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.052	0.947	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.051	0.949	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.048	0.951	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.044	0.956	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.043	0.957	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.042	0.958	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.036	0.964	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.035	0.965	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.034	0.966	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.033	0.967	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.032	0.968	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.004	0.973	0.023
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.025	0.974	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.022	0.978	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.022	0.978	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.021	0.979	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.018	0.981	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.018	0.982	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.015	0.985	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.014	0.985	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.014	0.986	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	0.986	0.014
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.988	0.012
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.011	0.988	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.011	0.989	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.011	0.989	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.989	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.010	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.010	0.990	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.010	0.990	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	0.991	0.009
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.007	0.993	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.007	0.993	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.006	0.993	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.006	0.993	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.006	0.993	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.006	0.993	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.994	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.006	0.994	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.005	0.995	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.005	0.995	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.005	0.995	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.005	0.995	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.000	0.995	0.005
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.004	0.995	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.004	0.996	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.004	0.996	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.004	0.996	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	0.996	0.004
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.004	0.996	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.004	0.996	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.004	0.996	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	0.996	0.004
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	0.996	0.004
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	0.996	0.004
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.004	0.996	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	0.996	0.004
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	0.996	0.004
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.003	0.996	0.001
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.003	0.997	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.003	0.997	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.003	0.997	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.003	0.997	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.003	0.997	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.000	0.997	0.003
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.003	0.997	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.003	0.997	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.003	0.997	0.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	0.997	0.003
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	0.997	0.003
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.003	0.997	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	0.997	0.003
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.003	0.997	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.003	0.997	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.003	0.997	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	0.997	0.003
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.003	0.997	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.003	0.997	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	0.997	0.003
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	0.997	0.003
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	0.997	0.003
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rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.001	0.999	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.001	0.999	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	0.999	0.000
rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	0.000	0.999	0.001
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.001	0.999	0.000
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.001	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.001	0.999	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	0.999	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.001	0.999	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	0.999	0.001
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.000	0.999	0.001
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.001	0.999	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	0.999	0.001
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	0.999	0.001
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	0.999	0.001
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.001	0.999	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.001	0.999	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.999	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.001	0.999	0.000
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.001	0.999	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.001	0.999	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.001	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.001	0.999	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	0.999	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	0.999	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	0.999	0.001
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.001	0.999	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	0.999	0.001
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.001	0.999	0.000
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.000	0.999	0.001
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.001	0.999	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.001	0.999	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.000	0.999	0.001
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.000	0.999	0.001
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.001	0.999	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	0.999	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.001	0.999	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	0.999	0.001
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.001	0.999	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	0.999	0.001
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	0.999	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.001	0.999	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	0.999	0.001
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.001
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.001	0.999	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.001	0.999	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.000	0.999	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	0.999	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	0.999	0.001
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	0.999	0.001
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	0.999	0.001
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	0.999	0.000
rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.000	0.999	0.001
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.000	0.999	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	0.999	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.001	0.999	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.001	0.999	0.000
rs12905273 lBF = `0.118888` Chr`15` : `79,002,755`	0.001	0.999	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.000	0.999	0.001
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.001	0.999	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.001	0.999	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.000	0.999	0.001
rs1436958 lBF = `-0.133002` Chr`15` : `62,338,797`	0.000	0.999	0.001
rs11330240 lBF = `53.4098` Chr`15` : `91,428,521`	0.000	0.999	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	0.999	0.000
rs17536527 lBF = `0.0983696` Chr`15` : `45,719,187`	0.001	0.999	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	0.999	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	0.999	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.999	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	0.999	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	0.999	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.999	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	0.999	0.000
rs4984390 lBF = `-0.0722172` Chr`15` : `94,939,508`	0.000	0.999	0.000
rs11071657 lBF = `-0.0989686` Chr`15` : `62,433,962`	0.000	0.999	0.001
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	0.999	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	0.999	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	0.999	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	0.999	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	0.999	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	0.999	0.000
rs2472299 lBF = `3.80722` Chr`15` : `75,033,400`	0.000	0.999	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	0.999	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.5722

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2674

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0871

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0870

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9829

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9764

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9563

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9504

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9485

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9463

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9389

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9350

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9281

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9252

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9218

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9144

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9083

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9056

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8977

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8972

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8949

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8932

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8932

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8920

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8853

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8796

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8785

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8742

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8716

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8620

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8611

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8606

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8591

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8552

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8534

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8476

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8439

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8436

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8427

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8424

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8415

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8334

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8278

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8238

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8227

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8199

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8189

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8141

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8133

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8054

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7983

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7965

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7945

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7929

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7782

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7667

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7655

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7602

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7584

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7527

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7487

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7447

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7352

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7342

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7339

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.7277

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7242

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7227

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7164

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7156

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7154

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7149

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7107

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7099

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7083

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7025

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7024

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7003

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6985

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6973

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6967

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6934

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6885

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6817

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6766

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6748

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6732

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6698

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6599

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6373

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6366

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6364

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6231

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6195

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6168

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6127

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6127

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6099

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6077

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.6034

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5994

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5901

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5892

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5825

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5801

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5796

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5751

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5548

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5459

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5351

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5347

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5140

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4930

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4876

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4746

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4736

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4660

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4542

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4458

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4437

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4276

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4214

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4106

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4100

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3860

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3776

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3630

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3051

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3042

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3007

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2923

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2923

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2807

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2654

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2617

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2604

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2567

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2489

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2456

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2257

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2090

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1967

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1962

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1866

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1791

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.1441

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1421

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1342

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0912

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0786

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0534

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`)