TreeWAS – [L89.1] Stage II decubitus ulcer

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
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.769	0.231	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.723	0.277	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.674	0.326	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.632	0.368	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.606	0.394	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.602	0.398	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.583	0.417	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.555	0.445	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.537	0.463	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.517	0.483	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.501	0.499	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.491	0.508	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.490	0.510	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.453	0.547	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.452	0.548	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.450	0.550	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.432	0.568	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.429	0.571	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.418	0.582	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.411	0.588	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.406	0.594	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.393	0.607	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.390	0.610	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.387	0.613	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.373	0.627	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.362	0.637	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.362	0.638	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.360	0.640	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.355	0.644	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.354	0.646	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.353	0.646	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.331	0.668	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.330	0.670	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.325	0.675	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.322	0.678	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.320	0.680	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.320	0.680	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.311	0.689	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.307	0.693	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.305	0.694	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.302	0.698	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.296	0.704	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.288	0.712	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.282	0.718	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.280	0.719	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.275	0.725	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.264	0.736	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.263	0.736	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.250	0.750	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.242	0.758	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.241	0.759	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.240	0.760	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.228	0.772	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.216	0.784	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.216	0.784	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.210	0.790	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.208	0.792	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.205	0.795	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.203	0.796	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.201	0.798	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.195	0.805	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.191	0.809	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.189	0.811	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.175	0.825	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.165	0.835	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.158	0.842	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.154	0.846	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.144	0.856	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.141	0.859	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.135	0.864	0.001
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.129	0.871	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.126	0.874	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.125	0.875	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.124	0.876	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.124	0.876	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.119	0.880	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.117	0.883	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.117	0.883	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.115	0.885	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.110	0.890	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.102	0.897	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.102	0.898	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	0.900	0.100
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.099	0.901	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	0.911	0.089
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.089	0.911	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.089	0.911	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.087	0.913	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.084	0.916	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.076	0.924	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.076	0.924	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.076	0.924	0.001
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.071	0.928	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.071	0.928	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.070	0.930	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.070	0.930	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.065	0.934	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	0.935	0.065
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.064	0.935	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.064	0.935	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.057	0.942	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.051	0.949	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.050	0.949	0.001
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.046	0.954	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.045	0.955	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.043	0.957	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.042	0.957	0.001
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.042	0.958	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.040	0.960	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.033	0.965	0.002
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.034	0.966	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.034	0.966	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.033	0.967	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.032	0.968	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.032	0.968	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.032	0.968	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.970	0.030
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.030	0.970	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.029	0.971	0.000
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.000	0.972	0.028
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.027	0.973	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	0.973	0.027
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.027	0.973	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.026	0.974	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.025	0.975	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.024	0.976	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.976	0.024
rs10519227 lBF = `15.7044` Chr`15` : `49,746,364`	0.000	0.976	0.024
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.023	0.976	0.000
rs7164176 lBF = `-0.0889379` Chr`15` : `92,211,774`	0.000	0.978	0.022
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	0.979	0.021
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.020	0.980	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	0.980	0.020
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.020	0.980	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.017	0.982	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.017	0.983	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.015	0.985	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.014	0.985	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.014	0.986	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.013	0.987	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.013	0.987	0.001
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.013	0.987	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.013	0.987	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.011	0.988	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.011	0.989	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.011	0.989	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.011	0.989	0.000
rs11070747 lBF = `-0.0533145` Chr`15` : `50,376,439`	0.011	0.989	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.010
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.010	0.990	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.009	0.991	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.009	0.991	0.001
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.008	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.008	0.992	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.007	0.993	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.007	0.993	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.007	0.993	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.994	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.005	0.994	0.001
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.006	0.994	0.000
rs11247230 lBF = `-0.0945302` Chr`15` : `101,197,005`	0.000	0.994	0.006
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.005	0.995	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.005	0.995	0.000
rs2676071 lBF = `-0.0473081` Chr`15` : `33,597,076`	0.005	0.995	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.005	0.995	0.000
rs12719740 lBF = `-0.0228415` Chr`15` : `99,072,905`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.004	0.996	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.003	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.997	0.000
rs9788682 lBF = `16.534` Chr`15` : `78,802,586`	0.000	0.997	0.003
rs7119 lBF = `-0.0367213` Chr`15` : `77,777,632`	0.003	0.997	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	0.997	0.003
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.002	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.997	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	0.997	0.003
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	0.998	0.002
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.002	0.998	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.002	0.998	0.000
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.002	0.998	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.002	0.998	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	0.998	0.002
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.002	0.998	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.002	0.998	0.000
rs11633886 lBF = `-0.0943819` Chr`15` : `46,078,307`	0.002	0.998	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	0.998	0.002
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	0.998	0.002
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	0.998	0.002
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	0.998	0.002
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	0.998	0.002
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.998	0.002
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	0.998	0.002
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	0.998	0.002
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rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.999	0.001
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	0.999	0.001
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.001	0.999	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	0.999	0.001
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.001	0.999	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	0.999	0.001
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.001	0.999	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.001	0.999	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.001	0.999	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	0.999	0.001
rs117799466 lBF = `0.335038` Chr`15` : `34,659,517`	0.000	0.999	0.001
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	0.999	0.001
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs8040855 lBF = `-0.108369` Chr`15` : `85,699,207`	0.000	0.999	0.001
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.001	0.999	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.999	0.001
rs6494537 lBF = `0.067618` Chr`15` : `66,051,345`	0.001	0.999	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.000	0.999	0.001
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.999	0.001
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	0.999	0.001
rs7162542 lBF = `-0.0291393` Chr`15` : `84,514,290`	0.000	0.999	0.001
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.001	0.999	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	0.999	0.001
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.001	0.999	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.001	0.999	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.001	0.999	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	0.999	0.001
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs1439620 lBF = `-0.0717355` Chr`15` : `93,429,646`	0.000	0.999	0.001
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.999	0.001
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.001	0.999	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	0.999	0.000
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.001	0.999	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.001	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.001	0.999	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	0.999	0.001
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.001	0.999	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	0.999	0.001
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.999	0.001
rs3743104 lBF = `-0.0984586` Chr`15` : `33,023,985`	0.000	0.999	0.001
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.001	0.999	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.001	0.999	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	0.999	0.001
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.001	0.999	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.001	0.999	0.000
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	0.999	0.001
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.001	0.999	0.000
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.001	0.999	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	0.999	0.001
rs11071657 lBF = `-0.0989686` Chr`15` : `62,433,962`	0.001	0.999	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.001	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	0.999	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	0.999	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	0.999	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.001	0.999	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.001	0.999	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.001	0.999	0.000
rs6495309 lBF = `19.1798` Chr`15` : `78,915,245`	0.000	0.999	0.001
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	0.999	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.001	0.999	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.001	0.999	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	0.999	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.001	0.999	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	0.999	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.001	0.999	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.999	0.001
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	0.999	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	0.999	0.000
rs12595433 lBF = `-0.0640866` Chr`15` : `63,290,645`	0.000	0.999	0.001
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.001	0.999	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.001	0.999	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.001	0.999	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.001	0.999	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.001	0.999	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.001	0.999	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	0.999	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	0.999	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	0.999	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	0.999	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	0.999	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	0.999	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	0.999	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	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
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2190

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1380

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9999

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9997

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9996

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9995

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9993

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9990

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9962

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9952

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9947

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9941

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9930

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9918

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9880

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9876

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9866

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9858

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9847

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9840

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9828

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9807

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9803

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9797

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9791

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9778

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9759

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9713

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9706

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9686

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9646

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9633

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9617

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9609

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9576

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9547

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9545

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9522

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9515

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9453

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9444

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9414

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9306

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9297

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9280

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9275

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9225

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9186

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9089

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9023

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8973

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8941

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8915

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8816

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8714

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8703

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8640

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8556

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8540

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8468

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8105

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8083

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8076

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8047

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7837

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7816

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7797

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7779

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7758

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7563

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7435

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7413

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7301

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7261

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7171

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6938

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6514

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6480

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6470

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6464

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6449

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6345

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6262

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6198

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6187

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6173

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6172

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6144

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6022

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5495

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5441

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5381

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5354

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5236

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5162

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5039

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4953

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4812

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4415

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4353

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4331

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4331

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4305

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4109

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4045

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3930

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3913

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3820

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3783

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3745

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3724

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3690

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3637

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3626

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3604

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3431

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3413

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3371

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3184

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3063

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3034

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2964

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2916

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2878

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2751

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2493

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2421

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2236

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2151

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2104

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2050

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1936

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1924

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1812

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1780

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1684

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1678

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1638

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1635

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1625

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1409

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1240

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1047

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0944

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0924

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0922

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0904

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0844

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0820

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0794

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0773

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0711

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0688

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0655

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0604

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0525

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0508

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`)