TreeWAS – [M22.1] Recurrent subluxation of patella

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
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.674	0.326	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.674	0.326	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.668	0.332	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.666	0.334	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.662	0.337	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.660	0.339	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.642	0.358	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.629	0.371	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.616	0.384	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.613	0.387	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.603	0.397	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.597	0.402	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.596	0.404	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.596	0.404	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.595	0.405	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.593	0.407	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.591	0.409	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.587	0.413	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.584	0.416	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.580	0.420	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.578	0.422	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.564	0.436	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.560	0.440	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.559	0.440	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.543	0.457	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.542	0.458	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.533	0.466	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.530	0.469	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.526	0.474	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.525	0.475	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.524	0.476	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.521	0.479	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.519	0.481	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.516	0.484	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.509	0.491	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.506	0.494	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.506	0.494	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.505	0.495	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.500	0.499	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.500	0.500	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.490	0.510	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.483	0.517	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.480	0.520	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.475	0.525	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.470	0.530	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.467	0.532	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.454	0.546	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.447	0.552	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.443	0.556	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.443	0.557	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.432	0.568	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.431	0.569	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.430	0.570	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.429	0.571	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.426	0.574	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.423	0.576	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.420	0.580	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.416	0.584	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.415	0.585	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.413	0.587	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.405	0.595	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.393	0.607	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.375	0.624	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.369	0.630	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.364	0.636	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.362	0.637	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.356	0.643	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.352	0.648	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.350	0.649	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.347	0.653	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.341	0.659	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.340	0.659	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.337	0.663	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.331	0.668	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.331	0.669	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.330	0.670	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.329	0.671	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.328	0.672	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.317	0.683	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.309	0.691	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.305	0.695	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.303	0.696	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.295	0.704	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.289	0.711	0.001
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.283	0.716	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.269	0.729	0.002
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.262	0.738	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.257	0.743	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.254	0.746	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.253	0.747	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.251	0.749	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.248	0.752	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.235	0.765	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.230	0.769	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.225	0.775	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.220	0.780	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.219	0.781	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.215	0.785	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.208	0.792	0.001
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.204	0.796	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.200	0.800	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.199	0.801	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.198	0.801	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.195	0.805	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.192	0.808	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.190	0.810	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.185	0.815	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.181	0.819	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.179	0.820	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.178	0.822	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.173	0.827	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.165	0.835	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.162	0.837	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.160	0.840	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.145	0.855	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.139	0.860	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.133	0.866	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.131	0.869	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.124	0.876	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.121	0.879	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.112	0.888	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.109	0.891	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.104	0.896	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.086	0.914	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.081	0.919	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.081	0.919	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.080	0.920	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.076	0.923	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.076	0.924	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.067	0.932	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.066	0.934	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.064	0.935	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.059	0.941	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.059	0.941	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.046	0.954	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.046	0.954	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.045	0.954	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.044	0.956	0.001
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.043	0.957	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.039	0.960	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.039	0.961	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.038	0.962	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.037	0.962	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.036	0.964	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.033	0.967	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.031	0.968	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.031	0.969	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.027	0.973	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.026	0.974	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.025	0.975	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.023	0.977	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.019	0.981	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.019	0.981	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.017	0.983	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.013	0.987	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.011	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.010	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.010	0.990	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.009	0.991	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.008	0.992	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.007	0.993	0.001
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.000	0.993	0.006
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.006	0.994	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.994	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.005	0.994	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.000	0.994	0.005
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.005	0.995	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.004	0.995	0.000
rs11852984 lBF = `0.0949112` Chr`15` : `35,105,657`	0.004	0.995	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.004	0.996	0.001
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.004	0.996	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.003	0.997	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.003	0.997	0.000
rs10519131 lBF = `0.0467798` Chr`15` : `62,001,132`	0.000	0.997	0.003
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.003	0.997	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.003	0.997	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.003	0.997	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.003	0.997	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	0.997	0.003
rs11858159 lBF = `-0.106762` Chr`15` : `24,824,188`	0.003	0.997	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	0.997	0.003
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.002	0.997	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.002	0.997	0.000
rs4468572 lBF = `12.8978` Chr`15` : `79,124,475`	0.002	0.997	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs4778879 lBF = `-0.0858533` Chr`15` : `79,372,875`	0.000	0.998	0.002
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	0.998	0.002
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.002	0.998	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.002	0.998	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.002	0.998	0.000
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rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.999	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	0.999	0.000
rs8041675 lBF = `-0.0735212` Chr`15` : `37,342,602`	0.000	0.999	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	0.999	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	0.999	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	0.999	0.000
rs10163145 lBF = `3.15837` Chr`15` : `79,075,335`	0.000	0.999	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	0.999	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	0.999	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	0.999	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	0.999	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	0.999	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	0.999	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	0.999	0.000
rs2624265 lBF = `-0.0584597` Chr`15` : `39,148,649`	0.000	0.999	0.000
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.000	0.999	0.000
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	0.999	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	0.999	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	0.999	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	0.999	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	0.999	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	0.999	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	0.999	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.000	0.999	0.000
rs1455782 lBF = `-0.104629` Chr`15` : `93,050,966`	0.000	0.999	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	0.999	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	0.999	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	0.999	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.000
rs4489968 lBF = `-0.00363114` Chr`15` : `73,665,506`	0.000	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	0.999	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.000	0.999	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	0.999	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	0.999	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	0.999	0.000
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.000	0.999	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	0.999	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	0.999	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.000	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	0.999	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	0.999	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	0.999	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	0.999	0.000
rs4777989 lBF = `-0.0527191` Chr`15` : `93,006,740`	0.000	0.999	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	0.999	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	0.999	0.000
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.000	0.999	0.000
rs12595305 lBF = `-0.0891017` Chr`15` : `89,899,624`	0.000	0.999	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs4924410 lBF = `0.0702866` Chr`15` : `40,339,494`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.000	1.000	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.000	1.000	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.000	1.000	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	1.000	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	1.000	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	1.000	0.000
rs7163013 lBF = `-0.0307682` Chr`15` : `78,698,759`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	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

0.6500

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7165

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7162

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7162

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7157

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7155

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7153

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7147

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7123

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7122

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7114

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7113

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7111

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7110

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7104

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7085

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7083

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7078

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7076

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7073

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7067

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.7062

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7061

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7060

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7053

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7052

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7047

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7006

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6991

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6988

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6973

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6963

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6935

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6925

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6920

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6918

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6882

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6871

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6854

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6828

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6718

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6702

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6691

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6674

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6657

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6650

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6604

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6574

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6531

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6522

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6484

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6478

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6473

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6464

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6449

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6435

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6428

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6425

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6410

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6404

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6389

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6376

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6309

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6300

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6297

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6278

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6254

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6187

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6142

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6085

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6085

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.6064

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5909

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5892

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5886

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5883

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5879

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5823

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5786

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.5779

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5756

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5745

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5732

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5732

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5714

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5677

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5667

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5628

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5606

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5593

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5529

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5518

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5514

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5508

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5454

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5390

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5358

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5343

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5343

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5325

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5280

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5280

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5250

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5217

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5184

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5180

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5131

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5122

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5122

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5108

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5079

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5040

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5023

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5015

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5010

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4905

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4894

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4868

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4827

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4699

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4530

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.4496

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4486

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4482

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4475

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4470

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4465

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4450

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4422

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4386

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4353

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4349

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4322

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4316

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4300

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4280

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4252

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4222

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4159

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4155

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4003

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3879

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3832

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3819

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3747

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3647

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3647

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3572

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3452

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3439

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3408

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3329

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3260

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3242

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3235

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3180

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3172

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3144

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2980

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2936

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2803

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2798

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2736

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2677

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2649

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2509

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2473

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2416

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2350

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2306

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2258

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2220

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2111

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2079

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1970

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1925

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1908

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1834

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1756

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1743

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1721

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1620

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1608

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1580

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1521

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1514

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1399

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1375

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1334

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1200

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1195

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1156

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1101

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1032

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0994

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0992

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0987

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0969

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0923

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0918

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0913

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0886

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0856

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0847

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0829

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0824

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0796

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0740

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0736

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.0692

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0677

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0613

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0613

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0519

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	M22 Disorders of patella
Nested terms	M22.10 Recurrent subluxation of patella, unspecified knee

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`)