TreeWAS – [M25.43] Effusion of joint (Forearm)

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
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.586	0.414	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.584	0.416	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.580	0.420	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.551	0.449	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.549	0.451	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.521	0.479	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.506	0.494	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.496	0.504	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.494	0.505	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.494	0.506	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.490	0.510	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.481	0.519	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.475	0.525	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.471	0.528	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.462	0.538	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.453	0.547	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.450	0.550	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.448	0.552	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.446	0.553	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.446	0.554	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.446	0.554	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.433	0.566	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.432	0.568	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.431	0.569	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.425	0.574	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.425	0.575	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.424	0.576	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.417	0.583	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.412	0.588	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.406	0.594	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.398	0.601	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.389	0.611	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.386	0.614	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.386	0.614	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.378	0.622	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.376	0.623	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.371	0.629	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.370	0.630	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.351	0.649	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.349	0.650	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.336	0.664	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.335	0.664	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.334	0.665	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.332	0.668	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.323	0.676	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.322	0.678	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.305	0.695	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.300	0.700	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.291	0.709	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.275	0.725	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.273	0.727	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.264	0.736	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.258	0.742	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.250	0.750	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.249	0.750	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.246	0.753	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.245	0.754	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.242	0.758	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.242	0.758	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.241	0.759	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.237	0.762	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.235	0.765	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.226	0.774	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.226	0.774	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.222	0.778	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.218	0.782	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.213	0.787	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.212	0.788	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.211	0.789	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.210	0.790	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.208	0.791	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.207	0.793	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.207	0.793	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.206	0.793	0.001
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.190	0.810	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.189	0.810	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.188	0.812	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.185	0.815	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.179	0.821	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.156	0.843	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.154	0.845	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.147	0.853	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.146	0.854	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.140	0.860	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.139	0.860	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.139	0.861	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.137	0.863	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.124	0.875	0.001
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.124	0.875	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.122	0.878	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.121	0.879	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.121	0.879	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.116	0.884	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.115	0.885	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.114	0.886	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.112	0.887	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.112	0.887	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.105	0.894	0.001
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.102	0.898	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.101	0.899	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.095	0.905	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.095	0.905	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.095	0.905	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.094	0.906	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.094	0.906	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.092	0.908	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.087	0.913	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.086	0.914	0.000
rs8035957 lBF = `9.51313` Chr`15` : `38,838,264`	0.085	0.915	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.084	0.916	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.082	0.918	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.079	0.921	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.075	0.925	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.073	0.927	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.070	0.929	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.062	0.938	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.061	0.938	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.055	0.945	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.053	0.947	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.051	0.949	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.048	0.952	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.044	0.956	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.038	0.962	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.038	0.962	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.037	0.963	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.037	0.963	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.036	0.964	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.035	0.965	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.031	0.969	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.031	0.969	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.030	0.970	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.030	0.970	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.029	0.971	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.029	0.971	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.027	0.973	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.025	0.975	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.023	0.977	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.023	0.977	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.022	0.978	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.021	0.978	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.021	0.978	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.018	0.981	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.018	0.982	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.017	0.982	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.017	0.983	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.016	0.984	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.012	0.988	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.011	0.988	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.011	0.989	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.010	0.990	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.009	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.008	0.991	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.008	0.992	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.008	0.992	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.007	0.993	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.007	0.993	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.006	0.994	0.000
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	0.995	0.005
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	0.995	0.005
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.005	0.995	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.005	0.995	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.996	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.004	0.996	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.004	0.996	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.996	0.004
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.004	0.996	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.004	0.996	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.004	0.996	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.004	0.996	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.004	0.996	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	0.997	0.003
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.997	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.003	0.997	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.003	0.997	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.003	0.997	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs8023580 lBF = `0.411363` Chr`15` : `96,708,291`	0.002	0.998	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.002	0.998	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs2472297 lBF = `2.21063` Chr`15` : `75,027,880`	0.002	0.998	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.002	0.998	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.002	0.998	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.002	0.998	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.002	0.998	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	0.998	0.002
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.002	0.998	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.002	0.998	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.998	0.001
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.998	0.002
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.001	0.998	0.000
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	0.998	0.001
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.001	0.999	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.001	0.999	0.000
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rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.001	0.999	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.001	0.999	0.000
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.001	0.999	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.001	0.999	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	0.999	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.001	0.999	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.001	0.999	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.000	0.999	0.001
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	0.999	0.001
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.001	0.999	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	0.999	0.001
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.000	0.999	0.001
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.000	0.999	0.001
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.000	0.999	0.001
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.000	0.999	0.001
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.000	0.999	0.001
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.000	0.999	0.001
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.000	0.999	0.001
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.001	0.999	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.000	0.999	0.001
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.001	0.999	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.001	0.999	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.001	0.999	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.001	0.999	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.001	0.999	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	0.999	0.001
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	0.999	0.001
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.001	0.999	0.000
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.000	0.999	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.000	0.999	0.001
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.001	0.999	0.000
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.001	0.999	0.000
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.001	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.001	0.999	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	0.999	0.001
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.999	0.000
rs7173064 lBF = `-0.0402484` Chr`15` : `94,271,228`	0.001	0.999	0.000
rs4778720 lBF = `-0.0829449` Chr`15` : `79,975,647`	0.000	0.999	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	0.999	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.999	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.001	0.999	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.999	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.999	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	0.999	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	0.000	0.999	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	0.999	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.001	0.999	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	0.999	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	0.999	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	0.999	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	0.999	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.000	0.999	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	0.999	0.000
rs950027 lBF = `-0.0999884` Chr`15` : `45,801,035`	0.000	0.999	0.000
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.001	0.999	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	0.999	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	0.999	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	0.999	0.000
rs3204689 lBF = `0.115405` Chr`15` : `58,246,802`	0.001	0.999	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	0.999	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	0.999	0.000
rs7170668 lBF = `-0.0260738` Chr`15` : `96,014,143`	0.000	0.999	0.000
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.000	0.999	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.999	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	0.999	0.000
rs2086452 lBF = `-0.112527` Chr`15` : `100,728,663`	0.000	0.999	0.000
rs1472631 lBF = `-0.130445` Chr`15` : `63,423,739`	0.000	0.999	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.999	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	0.999	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	0.999	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	0.999	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	0.999	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.999	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.000	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.000	0.999	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	0.999	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.000	0.999	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	0.999	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.000	0.999	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	0.999	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	0.999	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	0.999	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	0.999	0.000
rs28374715 lBF = `-0.0824573` Chr`15` : `41,563,950`	0.000	0.999	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.000	0.999	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.999	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

0.0514

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9008

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8848

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8827

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8546

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8266

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8231

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8222

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7959

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7959

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.7879

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7836

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7796

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7784

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7692

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7653

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7627

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7553

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7497

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7423

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7400

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7367

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7332

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7190

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7173

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7157

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7147

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7141

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7137

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7133

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7119

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7107

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7107

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7099

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7096

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7089

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7082

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7073

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7062

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7055

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7041

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7033

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7021

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7020

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7017

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6978

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6971

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6949

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6938

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6914

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6892

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6891

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6864

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6852

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6822

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6804

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6791

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6778

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6778

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6755

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6739

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6729

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6715

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6663

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6638

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6630

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6597

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6512

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6487

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6468

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6464

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6432

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6418

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6415

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6395

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6388

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6364

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6354

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6348

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6206

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6142

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6138

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6131

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6115

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6089

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6056

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6037

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6026

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5999

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5985

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5926

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5908

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5890

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5850

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5823

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5821

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5762

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5743

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5693

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5692

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5626

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5564

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5563

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5556

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5553

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5509

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5493

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5491

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5420

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5372

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5312

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5274

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5266

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5176

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5151

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5138

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5130

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5079

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5073

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5051

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5039

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5034

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5022

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4974

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4964

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4944

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4900

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4897

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4895

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4845

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4832

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4796

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4766

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4693

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4650

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4639

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4567

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4546

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4533

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4494

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4491

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4439

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4412

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4378

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4377

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4323

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4321

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4247

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4203

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4120

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4100

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4096

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4062

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3964

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3959

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3931

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3886

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3881

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3848

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3839

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3836

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3810

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3765

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3763

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3696

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3684

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3628

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3546

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3464

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3374

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3308

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3205

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2949

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2875

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2829

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2806

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2757

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2748

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2666

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2489

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2448

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2412

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2344

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2340

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2286

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2194

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2187

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2127

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1984

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1961

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1913

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1807

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1803

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.1713

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1625

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1591

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1534

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1509

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1389

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0964

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0882

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0811

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0627

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0614

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0606

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0590

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0514

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`)