TreeWAS – [M19] Other arthrosis

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

M19

Other arthrosis

Parent term	M15-M19 Arthrosis
Nested terms	M19.0 Primary arthrosis of other joints M19.1 Posttraumatic arthrosis of other joints M19.2 Other secondary arthrosis M19.8 Other specified arthrosis M19.9 Arthrosis, unspecified

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Variant effects

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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
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.999	0.001	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.995	0.005	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.948	0.052	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.939	0.061	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.932	0.068	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.903	0.097	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.879	0.121	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.857	0.143	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.855	0.145	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.834	0.166	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.826	0.174	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.776	0.224	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.770	0.230	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.766	0.234	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.760	0.240	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.745	0.255	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.725	0.275	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.712	0.288	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.707	0.293	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.681	0.319	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.652	0.348	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.644	0.356	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.614	0.386	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.564	0.436	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.554	0.446	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.540	0.460	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.532	0.468	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.515	0.485	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.514	0.486	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.507	0.493	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.489	0.511	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.487	0.513	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.486	0.514	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.473	0.527	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.468	0.532	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.463	0.537	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.461	0.539	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.448	0.552	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.435	0.565	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.428	0.572	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.405	0.595	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.398	0.602	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.396	0.604	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.389	0.611	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.383	0.617	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.374	0.626	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.339	0.661	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.331	0.669	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.326	0.674	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.315	0.685	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.311	0.689	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.301	0.699	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.285	0.715	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.272	0.728	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.268	0.732	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.240	0.760	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.234	0.765	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.232	0.768	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.224	0.776	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.213	0.787	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.209	0.790	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.195	0.805	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.193	0.807	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.192	0.808	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.190	0.810	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.190	0.810	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.183	0.817	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.180	0.820	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.179	0.821	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.177	0.823	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.177	0.823	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.172	0.827	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.171	0.829	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.166	0.834	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.163	0.837	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.162	0.838	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.161	0.839	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.159	0.841	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.158	0.842	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.157	0.843	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.156	0.844	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.142	0.850	0.008
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.147	0.853	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.145	0.855	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.145	0.855	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.144	0.856	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.142	0.858	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.138	0.861	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.137	0.863	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.135	0.865	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.134	0.866	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.134	0.866	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.124	0.876	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.121	0.879	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.120	0.880	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.119	0.881	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.114	0.886	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.113	0.887	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.111	0.889	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.109	0.891	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.109	0.891	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.105	0.894	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.099	0.901	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.093	0.907	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.093	0.907	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.091	0.909	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.088	0.912	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.087	0.913	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.085	0.915	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.084	0.916	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.083	0.917	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.082	0.918	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.082	0.918	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.074	0.925	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.074	0.926	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.073	0.927	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.072	0.928	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.070	0.929	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.069	0.931	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.068	0.932	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.067	0.933	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.066	0.934	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.066	0.934	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.065	0.935	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.063	0.937	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.060	0.940	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.057	0.942	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.057	0.943	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.056	0.944	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.053	0.947	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.053	0.947	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.049	0.951	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.048	0.952	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.047	0.953	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.045	0.955	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.044	0.956	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.043	0.957	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.042	0.958	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.042	0.958	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.040	0.960	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.037	0.963	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.031	0.969	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.029	0.971	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.026	0.974	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.026	0.974	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.025	0.975	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.023	0.976	0.000
rs3204689 lBF = `0.115405` Chr`15` : `58,246,802`	0.000	0.978	0.022
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.000	0.979	0.021
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.020	0.980	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.018	0.982	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.018	0.982	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.017	0.983	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.014	0.985	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.014	0.985	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.013	0.986	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.013	0.987	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.013	0.987	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.013	0.987	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.012	0.988	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.012	0.988	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.010	0.990	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.009
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.009	0.991	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.009	0.991	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.008	0.992	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.000	0.992	0.008
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.000	0.993	0.007
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.007	0.993	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.006	0.994	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.006	0.994	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.006	0.994	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.006	0.994	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.005	0.995	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.995	0.000
rs2470893 lBF = `0.169767` Chr`15` : `75,019,449`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.005	0.995	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.005	0.995	0.000
rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.000	0.995	0.005
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.004	0.996	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.004	0.996	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.003	0.997	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.003	0.997	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.003	0.997	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.002	0.998	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.002	0.998	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.002	0.998	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.998	0.002
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.002	0.998	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.002	0.998	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.002	0.998	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.002	0.998	0.000
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rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	1.000	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	1.000	0.000
rs7174755 lBF = `-0.0365078` Chr`15` : `68,597,127`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	1.000	0.000
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.000	1.000	0.000
rs17664713 lBF = `-0.0717038` Chr`15` : `95,318,586`	0.000	1.000	0.000
rs56205728 lBF = `-0.0752702` Chr`15` : `40,567,237`	0.000	1.000	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs1378942 lBF = `4.54504` Chr`15` : `75,077,367`	0.000	1.000	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.000	1.000	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs4321143 lBF = `0.3117` Chr`15` : `96,156,368`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs3743200 lBF = `0.0151092` Chr`15` : `79,274,046`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs3817428 lBF = `-0.0203742` Chr`15` : `89,415,247`	0.000	1.000	0.000
rs67839313 lBF = `-0.0282994` Chr`15` : `40,619,724`	0.000	1.000	0.000
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.000	1.000	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.000	1.000	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.000	1.000	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.000	1.000	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	1.000	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.000	1.000	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	1.000	0.000
rs10519005 lBF = `0.0808155` Chr`15` : `59,711,691`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	1.000	0.000
rs1352323 lBF = `-0.00755766` Chr`15` : `92,995,641`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.000	1.000	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs7175404 lBF = `-0.0549224` Chr`15` : `94,036,688`	0.000	1.000	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	1.000	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.000	1.000	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.000	1.000	0.000
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	0.000	1.000	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	1.000	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	1.000	0.000
rs493258 lBF = `-0.0963353` Chr`15` : `58,687,880`	0.000	1.000	0.000
rs3736485 lBF = `-0.10337` Chr`15` : `51,748,610`	0.000	1.000	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	1.000	0.000
rs2929155 lBF = `22.93` Chr`15` : `79,058,013`	0.000	1.000	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.000	1.000	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	1.000	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	1.000	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	1.000	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	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 X0275

log Bayes Factor = 219.726

contains 10 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

1.0000

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

1.0000

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9999

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9998

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9998

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9998

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9997

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9997

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9996

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9996

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9996

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9996

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9994

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9992

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9991

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9984

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9980

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9972

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9948

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9946

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9910

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9905

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9895

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9884

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9836

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9831

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9776

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9768

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9758

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9753

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9749

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9722

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9709

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9666

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9666

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9656

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9608

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9589

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9516

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9504

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9439

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9410

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9404

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9324

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9301

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.9298

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9292

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9249

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9175

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9116

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9044

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8990

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8971

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8961

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8940

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8911

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8730

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8624

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8526

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8519

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8436

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8123

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8078

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8038

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8015

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7965

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7948

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7905

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7822

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7822

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7743

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7544

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7531

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7401

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7356

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7286

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7193

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7047

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7028

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7012

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6842

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6538

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6297

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6247

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6179

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6086

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5962

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5939

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5451

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5426

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5292

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5254

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5251

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5240

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5226

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.5211

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5153

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5078

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4981

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4958

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4834

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4678

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4646

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4590

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4559

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.4383

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4248

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4243

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4118

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4078

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3985

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3915

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3899

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.3866

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3851

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3799

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3767

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3232

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3106

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2876

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.2758

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2707

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.2663

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2557

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2519

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2476

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2380

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2264

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2198

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2147

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2110

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1944

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1850

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1801

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1783

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1740

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1723

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1509

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1470

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1420

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1407

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.1327

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1297

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1296

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1220

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1199

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1177

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1142

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1111

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1076

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1055

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.1012

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0949

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0909

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0876

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0872

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0851

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0790

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0784

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0769

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0755

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0738

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0707

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0698

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0673

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0668

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0657

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0622

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0619

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0601

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0553

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)

Hospitalization Episode Statistics (`HES`)