TreeWAS – [K82] Other diseases of gallbladder

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
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.894	0.106	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.880	0.120	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.880	0.120	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.874	0.126	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.855	0.145	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.826	0.174	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.823	0.177	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.797	0.203	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.792	0.208	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.767	0.232	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.746	0.254	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.730	0.270	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.725	0.275	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.716	0.284	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.703	0.297	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.687	0.313	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.683	0.317	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.679	0.321	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.653	0.347	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.644	0.356	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.627	0.373	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.614	0.386	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.607	0.393	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.601	0.399	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.600	0.400	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.598	0.402	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.593	0.407	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.583	0.417	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.548	0.452	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.530	0.470	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.527	0.473	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.513	0.486	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.511	0.489	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.510	0.490	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.504	0.496	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.500	0.500	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.483	0.517	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.474	0.526	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.471	0.528	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.464	0.536	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.458	0.541	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.458	0.542	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.433	0.567	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.425	0.575	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.420	0.579	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.419	0.580	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.409	0.591	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.390	0.610	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.382	0.618	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.334	0.666	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.332	0.668	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.331	0.669	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.319	0.681	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.291	0.706	0.003
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.275	0.725	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.266	0.734	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.241	0.758	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.229	0.771	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.195	0.805	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.194	0.806	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.184	0.816	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.178	0.822	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.175	0.825	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.168	0.832	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.165	0.834	0.001
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.133	0.866	0.001
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.120	0.879	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.120	0.880	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.114	0.886	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.105	0.895	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.103	0.896	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.102	0.897	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.101	0.899	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.082	0.918	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.076	0.924	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.074	0.926	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.070	0.930	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.062	0.938	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.061	0.939	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.061	0.939	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.060	0.940	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.056	0.943	0.001
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	0.945	0.055
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.051	0.949	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.044	0.956	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.039	0.961	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.039	0.961	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.038	0.962	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.034	0.962	0.004
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	0.970	0.030
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.029	0.971	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.024	0.976	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.024	0.976	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.022	0.978	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.022	0.978	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.981	0.019
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.017	0.983	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.015	0.984	0.001
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.015	0.985	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.015	0.985	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.014	0.986	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.013	0.986	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.014	0.986	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	0.987	0.013
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.012	0.988	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.012	0.988	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.011	0.988	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.011	0.989	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.010	0.990	0.000
rs8036358 lBF = `0.0142773` Chr`15` : `86,551,743`	0.010	0.990	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.010	0.990	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.001	0.990	0.008
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.009	0.991	0.000
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.009	0.991	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.009	0.991	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	0.991	0.009
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.008	0.992	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.008	0.992	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.007	0.993	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.007	0.993	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.007	0.993	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.007	0.993	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.006	0.994	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.006	0.994	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.006	0.994	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.006	0.994	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.006	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.006	0.994	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	0.995	0.005
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	0.995	0.005
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.000	0.995	0.005
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.995	0.004
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.004	0.996	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.004	0.996	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.000	0.996	0.004
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.004	0.996	0.000
rs1876206 lBF = `0.0962583` Chr`15` : `48,900,586`	0.000	0.997	0.003
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.003	0.997	0.000
rs8192478 lBF = `9.51953` Chr`15` : `78,910,462`	0.000	0.997	0.003
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.003	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.003	0.997	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.003	0.997	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	0.997	0.003
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.003	0.997	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.003	0.997	0.000
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	0.997	0.003
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.003	0.997	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs2414059 lBF = `-0.0442451` Chr`15` : `50,873,344`	0.000	0.998	0.002
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	0.998	0.002
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.002	0.998	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.002	0.998	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.002	0.998	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.002	0.998	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.002	0.998	0.000
rs3105593 lBF = `-0.0296579` Chr`15` : `50,845,018`	0.000	0.998	0.002
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.002	0.998	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.998	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.001	0.998	0.001
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.002	0.998	0.000
rs8192477 lBF = `10.322` Chr`15` : `78,910,463`	0.000	0.998	0.002
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	0.998	0.002
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.002	0.998	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs7174755 lBF = `-0.0365078` Chr`15` : `68,597,127`	0.001	0.999	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	0.999	0.001
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.001	0.999	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	0.999	0.001
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	0.999	0.001
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.001	0.999	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.001	0.999	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	0.999	0.001
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.001	0.999	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.999	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.001	0.999	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.001	0.999	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	0.999	0.001
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.001	0.999	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.001	0.999	0.000
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.999	0.001
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.999	0.001
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.000	0.999	0.001
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
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rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	1.000	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	1.000	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	1.000	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.000	1.000	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.000	1.000	0.000
rs112321636 lBF = `11.2927` Chr`15` : `79,072,100`	0.000	1.000	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs2305707 lBF = `0.120884` Chr`15` : `51,569,410`	0.000	1.000	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	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
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	1.000	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	1.000	0.000
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.000	1.000	0.000
rs2004038 lBF = `11.3758` Chr`15` : `79,071,406`	0.000	1.000	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	1.000	0.000
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	1.000	0.000
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	1.000	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.000	1.000	0.000
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	1.000	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	1.000	0.000
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	1.000	0.000
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	1.000	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.000	1.000	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	1.000	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.000	1.000	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	1.000	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	1.000	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	1.000	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	1.000	0.000
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	1.000	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	1.000	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	1.000	0.000
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	1.000	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	1.000	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	1.000	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	1.000	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	1.000	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	1.000	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.000	1.000	0.000
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.000	1.000	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs4886670 lBF = `-0.0369237` Chr`15` : `75,449,674`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	1.000	0.000
rs11858159 lBF = `-0.106762` Chr`15` : `24,824,188`	0.000	1.000	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	1.000	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	1.000	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.000	1.000	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	1.000	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs17536527 lBF = `0.0983696` Chr`15` : `45,719,187`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	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 X0198

log Bayes Factor = 97.078

contains 5 variants

1.0000

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

1.0000

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.9981

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0245

log Bayes Factor = 256.009

contains 7 variants

1.0000

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9989

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9989

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9978

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9958

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9933

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9928

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9916

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9864

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9863

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9861

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9837

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9798

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9794

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9767

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9760

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9759

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9680

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9568

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9535

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9349

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9333

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9299

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9286

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9206

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9080

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8908

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8883

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8862

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8765

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8705

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8665

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8630

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8594

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8584

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8566

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8507

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8434

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8412

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8258

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8195

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8105

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8089

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8014

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7991

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7981

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7950

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7931

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7841

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7727

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7700

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7563

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7532

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7334

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7256

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7092

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6880

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6685

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6632

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6602

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6553

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6368

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6351

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6115

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6110

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6105

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6042

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6007

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5929

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5925

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5633

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5488

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5467

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5429

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5245

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5224

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5185

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5179

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5106

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4802

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4797

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4786

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4728

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4576

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4510

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4447

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4445

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4329

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4268

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4163

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3974

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3931

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3871

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3270

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3176

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3098

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3032

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2961

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2836

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2701

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2679

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.2495

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2462

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2450

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2333

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2329

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2329

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2276

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2221

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2125

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1906

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1745

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1736

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1668

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1633

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1630

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1279

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1277

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1263

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0978

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0845

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0776

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0672

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0662

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0662

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.

Parent term	K80-K87 Disorders of gallbladder, biliary tract and pancreas
Nested terms	K82.0 Obstruction of gallbladder K82.1 Hydrops of gallbladder K82.2 Perforation of gallbladder K82.3 Fistula of gallbladder K82.4 Cholesterolosis of gallbladder K82.8 Other specified diseases of gallbladder K82.9 Disease of gallbladder, unspecified

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`)