TreeWAS – [T84.8] Other complications of internal orthopaedic prosthetic devices, implants and grafts

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
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.961	0.039	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.861	0.139	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.828	0.172	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.818	0.182	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.818	0.182	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.791	0.209	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.780	0.220	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.765	0.235	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.749	0.251	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.741	0.259	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.708	0.292	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.700	0.300	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.695	0.305	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.693	0.307	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.672	0.328	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.663	0.337	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.627	0.373	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.603	0.397	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.591	0.409	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.574	0.426	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.566	0.434	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.560	0.440	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.537	0.463	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.537	0.463	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.512	0.487	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.506	0.494	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.490	0.510	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.480	0.520	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.452	0.548	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.420	0.580	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.414	0.585	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.410	0.589	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.403	0.597	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.403	0.597	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.403	0.597	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.398	0.602	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.396	0.604	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.392	0.608	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.390	0.610	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.382	0.618	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.381	0.619	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.371	0.629	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.351	0.649	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.337	0.662	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.337	0.663	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.333	0.667	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.330	0.670	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.329	0.671	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.312	0.688	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.312	0.688	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.312	0.688	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.310	0.690	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.293	0.706	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.270	0.730	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.263	0.736	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.263	0.737	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.248	0.752	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.246	0.754	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.240	0.760	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.236	0.764	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.235	0.765	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.230	0.770	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.229	0.771	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.221	0.779	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.198	0.802	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.195	0.804	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.183	0.817	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.182	0.818	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.172	0.828	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.171	0.829	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.169	0.831	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.168	0.831	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.165	0.835	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.164	0.836	0.001
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.163	0.836	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.152	0.848	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.140	0.860	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.140	0.860	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.135	0.865	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.135	0.865	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.130	0.869	0.001
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.126	0.874	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.126	0.874	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.125	0.875	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.124	0.876	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.123	0.877	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.122	0.878	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.122	0.878	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.121	0.879	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.113	0.887	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.113	0.887	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.103	0.897	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.099	0.901	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.083	0.916	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.072	0.928	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.066	0.934	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.064	0.936	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.062	0.938	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.059	0.938	0.003
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.061	0.939	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.054	0.946	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.051	0.948	0.001
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.047	0.952	0.001
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.046	0.953	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.047	0.953	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.045	0.955	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.045	0.955	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.043	0.957	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.042	0.958	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.042	0.958	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.041	0.959	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.040	0.960	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.039	0.961	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.037	0.962	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.036	0.963	0.001
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.035	0.965	0.001
rs8041943 lBF = `-0.0444366` Chr`15` : `79,966,600`	0.000	0.968	0.032
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.031	0.969	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.029	0.971	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.027	0.973	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.026	0.974	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.025	0.975	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.025	0.975	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.024	0.975	0.001
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.023	0.977	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.023	0.977	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.022	0.978	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.020	0.980	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.019	0.981	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.019	0.981	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.019	0.981	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.019	0.981	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.018	0.982	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.018	0.982	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.017	0.983	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.014	0.983	0.003
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.015	0.985	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.015	0.985	0.001
rs12907866 lBF = `0.0835764` Chr`15` : `51,545,454`	0.015	0.985	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.014	0.986	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.014	0.986	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.014	0.986	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.014	0.986	0.000
rs1439620 lBF = `-0.0717355` Chr`15` : `93,429,646`	0.014	0.986	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.013	0.986	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.013	0.987	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.012	0.988	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.011	0.989	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.011	0.989	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.009	0.989	0.001
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.010	0.989	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.010	0.989	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.009	0.990	0.002
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.010	0.990	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.010	0.990	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.008	0.992	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	0.992	0.008
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.007	0.993	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.006
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.007	0.993	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.006	0.993	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.006	0.993	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.006	0.994	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.001	0.995	0.005
rs11070836 lBF = `-0.10928` Chr`15` : `51,436,397`	0.005	0.995	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.996	0.004
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	0.996	0.004
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.996	0.003
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	0.997	0.003
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.003	0.997	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	0.997	0.003
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	0.997	0.003
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.003	0.997	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.003	0.997	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.003	0.997	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.997	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.002	0.998	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.002	0.998	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.002	0.998	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.001
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.002	0.998	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.001	0.998	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.002	0.998	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.001	0.998	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.001	0.999	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.001	0.999	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	0.999	0.001
rs72743461 lBF = `21.8932` Chr`15` : `67,441,750`	0.001	0.999	0.000
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rs4778879 lBF = `-0.0858533` Chr`15` : `79,372,875`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	1.000	0.000
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	1.000	0.000
rs7173964 lBF = `-0.112987` Chr`15` : `62,396,942`	0.000	1.000	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.000	1.000	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs1258767 lBF = `-0.0148593` Chr`15` : `33,126,454`	0.000	1.000	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	1.000	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.000	1.000	0.000
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	1.000	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	1.000	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	1.000	0.000
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.000	1.000	0.000
rs17636733 lBF = `-0.0629164` Chr`15` : `25,912,339`	0.000	1.000	0.000
rs11247230 lBF = `-0.0945302` Chr`15` : `101,197,005`	0.000	1.000	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.000	1.000	0.000
rs2957613 lBF = `0.0133549` Chr`15` : `76,700,589`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.000	1.000	0.000
rs1436958 lBF = `-0.133002` Chr`15` : `62,338,797`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4533251 lBF = `-0.00327195` Chr`15` : `97,262,427`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.000	1.000	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs61680841 lBF = `0.294286` Chr`15` : `91,816,343`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.000	1.000	0.000
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.000	1.000	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.000	1.000	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	1.000	0.000
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs4984460 lBF = `-0.0152318` Chr`15` : `96,424,399`	0.000	1.000	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	1.000	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	1.000	0.000
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	1.000	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.000	1.000	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9869

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2475

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9987

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9966

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9953

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9952

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9619

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9606

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9599

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9510

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9504

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9463

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9357

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9328

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9289

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9190

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8780

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8733

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8689

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8473

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7984

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7853

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7297

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6703

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6436

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6236

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5793

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5610

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5501

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5036

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4991

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4941

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4941

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4802

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4634

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4520

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4364

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3432

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3352

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3042

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2786

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2683

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2299

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2149

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2035

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1863

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1843

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1815

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1799

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1723

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1676

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1636

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1582

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1397

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1385

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1339

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1196

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1061

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0975

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0902

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0886

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0801

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0739

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0682

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0638

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0512

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`)