TreeWAS – [K11.5] Sialolithiasis

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
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.670	0.330	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.667	0.333	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.663	0.337	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.651	0.349	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.639	0.361	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.614	0.386	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.599	0.401	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.589	0.411	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.569	0.431	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.568	0.432	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.502	0.497	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.495	0.505	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.494	0.505	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.488	0.512	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.476	0.524	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.465	0.534	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.465	0.535	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.441	0.559	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.436	0.564	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.436	0.564	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.435	0.564	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.434	0.566	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.434	0.566	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.432	0.568	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.432	0.568	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.419	0.581	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.410	0.590	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.399	0.601	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.398	0.601	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.397	0.603	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.395	0.604	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.379	0.621	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.376	0.624	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.375	0.625	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.371	0.629	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.351	0.649	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.347	0.653	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.343	0.656	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.339	0.661	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.332	0.668	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.328	0.672	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.327	0.673	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.310	0.690	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.301	0.699	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.297	0.703	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.296	0.703	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.270	0.729	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.252	0.748	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.249	0.751	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.247	0.753	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.246	0.754	0.001
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.233	0.767	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.228	0.771	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.227	0.773	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.221	0.779	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.209	0.790	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.208	0.792	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.203	0.797	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.194	0.805	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.185	0.815	0.001
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.136	0.864	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.135	0.865	0.001
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.121	0.879	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.118	0.881	0.001
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.103	0.897	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.100	0.900	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.081	0.919	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.080	0.920	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.077	0.923	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.070	0.929	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.068	0.932	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.067	0.933	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.061	0.939	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.052	0.948	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.049	0.951	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.047	0.952	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.046	0.954	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.042	0.958	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.041	0.959	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.040	0.960	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.039	0.960	0.001
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.036	0.964	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.034	0.965	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.033	0.967	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.032	0.968	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.028	0.972	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.023	0.977	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.022	0.978	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.021	0.979	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.021	0.979	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.018	0.982	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.017	0.983	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.017	0.983	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	0.983	0.017
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.016	0.984	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.014	0.986	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.014	0.986	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.014	0.986	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.013	0.986	0.001
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	0.988	0.012
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.010	0.990	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.010	0.990	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.990	0.010
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.010	0.990	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.010	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.000	0.992	0.008
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.008	0.992	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.008	0.992	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.007	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.993	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.007	0.993	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.007	0.993	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.006	0.994	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.006	0.994	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.006	0.994	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.006	0.994	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.005	0.994	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	0.995	0.005
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.005	0.995	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.005	0.995	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.005	0.995	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.004	0.996	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.000	0.996	0.004
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.004	0.996	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	0.996	0.004
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.004	0.996	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	0.997	0.003
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.000	0.997	0.003
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.003	0.997	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.003	0.997	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.003
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.003	0.997	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.003	0.997	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.003	0.997	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.003	0.997	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.002	0.997	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.003	0.997	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.002	0.998	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.002	0.998	0.000
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.000	0.998	0.002
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.002	0.998	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.002	0.998	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.002	0.998	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.998	0.002
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.998	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.002	0.998	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.002	0.998	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.001	0.998	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	0.998	0.002
rs7170668 lBF = `-0.0260738` Chr`15` : `96,014,143`	0.000	0.998	0.002
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.001	0.998	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.002	0.998	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	0.998	0.002
rs7173743 lBF = `26.4991` Chr`15` : `79,141,784`	0.000	0.998	0.002
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.001	0.998	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.001	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.001	0.999	0.000
rs7173419 lBF = `0.066687` Chr`15` : `28,196,821`	0.000	0.999	0.001
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.001
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.001	0.999	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.001	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.001	0.999	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.001	0.999	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.001	0.999	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.001	0.999	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.001	0.999	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.000	0.999	0.001
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	0.999	0.001
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.001	0.999	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	0.999	0.001
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.001	0.999	0.000
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.000	0.999	0.001
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.001	0.999	0.000
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
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.001	0.999	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	0.999	0.001
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	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
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
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rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	1.000	0.000
rs62018380 lBF = `-0.0507671` Chr`15` : `95,275,917`	0.000	1.000	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs4886670 lBF = `-0.0369237` Chr`15` : `75,449,674`	0.000	1.000	0.000
rs12595305 lBF = `-0.0891017` Chr`15` : `89,899,624`	0.000	1.000	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	1.000	0.000
rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.000	1.000	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	1.000	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	1.000	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	1.000	0.000
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	1.000	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	1.000	0.000
rs6576443 lBF = `-0.0848589` Chr`15` : `25,894,658`	0.000	1.000	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs11070836 lBF = `-0.10928` Chr`15` : `51,436,397`	0.000	1.000	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.000	1.000	0.000
rs113154706 lBF = `0.0330048` Chr`15` : `97,018,733`	0.000	1.000	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.000	1.000	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	1.000	0.000
rs17228178 lBF = `-0.105391` Chr`15` : `31,469,928`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	1.000	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.000	1.000	0.000
rs1129038 lBF = `4.88485` Chr`15` : `28,356,859`	0.000	1.000	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	1.000	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	1.000	0.000
rs7169223 lBF = `0.259143` Chr`15` : `78,992,116`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	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
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.000	1.000	0.000
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	1.000	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	1.000	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.000	1.000	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	1.000	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9935

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9930

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9859

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9770

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9762

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9651

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9524

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9514

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9314

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9266

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9265

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9202

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9187

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9142

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9061

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8990

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8920

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8894

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8821

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8806

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8803

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8795

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8772

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8548

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8489

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8063

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7998

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7975

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7827

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7804

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7714

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7618

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7601

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7504

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7440

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7338

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7282

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7254

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7239

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7200

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7188

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7159

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7013

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6961

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6798

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6700

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6653

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6551

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6548

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6462

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6199

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6119

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6095

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6070

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5880

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5463

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5398

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5291

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5290

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5273

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5240

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5195

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4919

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4878

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4812

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4661

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4563

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4528

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4330

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4298

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4291

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4243

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4152

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4027

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3990

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3966

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3965

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3900

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3865

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3847

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3845

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3575

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3411

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3336

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3309

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3305

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3090

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2972

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2893

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2794

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2732

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2687

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2619

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2609

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2494

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2435

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2405

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2349

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2293

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2291

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2209

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2067

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1984

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1968

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1916

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1834

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1814

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1556

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1545

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1529

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1523

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1509

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1405

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1400

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1390

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1389

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1166

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1115

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1093

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1063

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0967

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0889

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0715

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0692

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0689

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0609

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0594

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0566

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`)