TreeWAS – [M23.37] Other meniscus derangements-Capsular lig

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
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.694	0.306	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.679	0.321	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.676	0.324	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.671	0.329	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.652	0.348	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.637	0.363	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.635	0.364	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.630	0.369	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.622	0.378	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.620	0.380	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.614	0.386	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.611	0.389	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.610	0.390	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.604	0.396	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.589	0.410	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.581	0.419	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.560	0.440	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.556	0.444	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.528	0.471	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.519	0.480	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.511	0.489	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.506	0.494	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.499	0.501	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.498	0.502	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.486	0.514	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.481	0.519	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.473	0.527	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.472	0.528	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.410	0.590	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.403	0.597	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.384	0.615	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.379	0.621	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.378	0.622	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.346	0.654	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.334	0.666	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.323	0.677	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.322	0.678	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.320	0.680	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.310	0.690	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.309	0.691	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.300	0.700	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.286	0.713	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.251	0.749	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.251	0.749	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.248	0.752	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.246	0.754	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.236	0.764	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.229	0.770	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.227	0.773	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.218	0.782	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.214	0.786	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.195	0.805	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.190	0.810	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.180	0.819	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.167	0.833	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.164	0.836	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.157	0.842	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.154	0.846	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.152	0.847	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.148	0.852	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.143	0.857	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.137	0.863	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.135	0.864	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.129	0.870	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.119	0.880	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.113	0.887	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.111	0.889	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.110	0.889	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.105	0.895	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.097	0.903	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.096	0.904	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.087	0.913	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.087	0.913	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.082	0.917	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.081	0.919	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.080	0.920	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.079	0.921	0.001
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.079	0.921	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.077	0.923	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.072	0.927	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.072	0.928	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.072	0.928	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.071	0.928	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.070	0.929	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.067	0.933	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.065	0.934	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.065	0.935	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.064	0.935	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.064	0.935	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.062	0.938	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.059	0.941	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.055	0.945	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.055	0.945	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.051	0.948	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.050	0.950	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.049	0.951	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.049	0.951	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.047	0.951	0.001
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.048	0.952	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.047	0.952	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.047	0.952	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.045	0.954	0.001
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.043	0.956	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.043	0.957	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.042	0.958	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.037	0.963	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.036	0.964	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.033	0.966	0.001
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.034	0.966	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.034	0.966	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.032	0.968	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.031	0.969	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.029	0.971	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.029	0.971	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.027	0.972	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.027	0.972	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.026	0.974	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.026	0.974	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.026	0.974	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.025	0.974	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.025	0.975	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	0.975	0.025
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.024	0.975	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.023	0.977	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.022	0.978	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.021	0.978	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.020	0.980	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.020	0.980	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.020	0.980	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.018	0.981	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.017	0.983	0.001
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.017	0.983	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.017	0.983	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.015	0.985	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.014	0.985	0.001
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.012	0.988	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.010	0.989	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.010	0.990	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.010	0.990	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.010	0.990	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.010	0.990	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.010	0.990	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.009	0.990	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	0.991	0.009
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.008	0.991	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.008	0.992	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.007	0.992	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.007	0.993	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.007	0.993	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.006	0.993	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.006	0.993	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.005	0.995	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.005	0.995	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	0.995	0.005
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.005	0.995	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.005	0.995	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.004	0.996	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.996	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.001	0.996	0.004
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.004	0.996	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.003	0.996	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.003	0.996	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.996	0.002
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.003	0.997	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.003	0.997	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.997	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	0.997	0.003
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.003	0.997	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	0.997	0.003
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.002	0.997	0.001
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	0.997	0.003
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.002	0.997	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.002	0.997	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.002	0.997	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.002	0.997	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	0.998	0.002
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.002	0.998	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.002	0.998	0.000
rs3743200 lBF = `0.0151092` Chr`15` : `79,274,046`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.002	0.998	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.002	0.998	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.001	0.998	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	0.998	0.002
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.001	0.998	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.998	0.001
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.001	0.998	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.001	0.998	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	0.998	0.001
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.001	0.998	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	0.999	0.001
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.001
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.001	0.999	0.000
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rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	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
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	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
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	1.000	0.000
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.000	1.000	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	1.000	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	1.000	0.000
rs17293632 lBF = `21.6143` Chr`15` : `67,442,596`	0.000	1.000	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	1.000	0.000
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	1.000	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	1.000	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	1.000	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	1.000	0.000
rs16951275 lBF = `0.538361` Chr`15` : `68,077,168`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	1.000	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.000	1.000	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.000	1.000	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	1.000	0.000
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	1.000	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	1.000	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	1.000	0.000
rs6495367 lBF = `-0.0960495` Chr`15` : `79,375,347`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.000	1.000	0.000
rs899997 lBF = `18.2795` Chr`15` : `79,019,578`	0.000	1.000	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	1.000	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	1.000	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	1.000	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.000	1.000	0.000
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	1.000	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	1.000	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	1.000	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	1.000	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	1.000	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	1.000	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	1.000	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	1.000	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	1.000	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.000	1.000	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	1.000	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	1.000	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.7167

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7168

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7167

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7166

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7162

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7160

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7160

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7156

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.7154

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7150

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7149

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7142

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7126

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7126

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7102

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7072

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7053

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7015

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6935

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6934

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6907

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6905

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6904

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6805

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6801

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6790

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6767

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6763

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6761

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6752

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6706

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6682

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6668

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6597

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6594

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6524

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6508

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6344

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.6323

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6254

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6206

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6198

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6067

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5688

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5563

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5199

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5053

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5050

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4978

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4824

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4588

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4517

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4462

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4409

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4394

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4184

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3971

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3948

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3824

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3720

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3656

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3584

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3554

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3282

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3175

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3118

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3081

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2952

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2918

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2898

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2859

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2671

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2664

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2664

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2616

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2616

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2611

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2568

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2545

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2505

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2386

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2329

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2303

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2282

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2275

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2196

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2161

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2135

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2110

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1817

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1815

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1815

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1814

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1812

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1741

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1737

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1729

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1686

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1650

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1586

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1573

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1569

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1569

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1528

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1456

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1330

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1294

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1266

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1258

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1224

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.1214

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1126

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1096

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1043

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1021

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0998

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0895

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0850

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0824

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0819

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0771

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0770

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0730

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0712

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0698

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0557

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0544

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0542

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0531

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0527

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0517

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0514

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0513

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0506

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`)