TreeWAS – [Z96.7] Presence of other bone and tendon implants

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
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.841	0.159	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.789	0.211	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.721	0.279	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.715	0.285	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.712	0.288	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.689	0.311	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.648	0.352	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.645	0.355	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.643	0.357	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.360	0.640
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.588	0.412	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.582	0.418	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.562	0.437	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.558	0.442	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.556	0.444	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.539	0.461	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.534	0.466	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.526	0.474	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.513	0.486	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.509	0.490	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.496	0.504	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.488	0.511	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.484	0.516	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.471	0.528	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.471	0.529	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.456	0.544	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.433	0.567	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.409	0.590	0.001
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.401	0.599	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.401	0.599	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.393	0.607	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.379	0.621	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.360	0.640	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.329	0.671	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.321	0.679	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.319	0.681	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.316	0.684	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.316	0.684	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.311	0.689	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.305	0.695	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.304	0.696	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.300	0.700	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.283	0.717	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.269	0.731	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.254	0.746	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.254	0.746	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.221	0.779	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.219	0.781	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.213	0.787	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.210	0.789	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.209	0.791	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.199	0.801	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.196	0.804	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.193	0.807	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.191	0.809	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.190	0.810	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.187	0.813	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.173	0.827	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.167	0.832	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.159	0.841	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.158	0.842	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.158	0.842	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.123	0.877	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.118	0.882	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.102	0.898	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.101	0.899	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.101	0.899	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.099	0.901	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.094	0.906	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.093	0.907	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.089	0.911	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.076	0.924	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.925	0.075
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.070	0.930	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.061	0.939	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.061	0.939	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.046	0.954	0.000
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	0.957	0.043
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.039	0.961	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.037	0.963	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.037	0.963	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.036	0.964	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.036	0.964	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.035	0.965	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.031	0.969	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.030	0.970	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.029	0.970	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.029	0.971	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.024	0.976	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.022	0.978	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.022	0.978	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.020	0.980	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.019	0.981	0.000
rs2945232 lBF = `3.08305` Chr`8` : `8,098,038`	0.014	0.986	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.987	0.013
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.012	0.988	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.012	0.988	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.012	0.988	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.011	0.988	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.011	0.989	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	0.989	0.011
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.009	0.991	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.009	0.991	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.008	0.991	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.008	0.992	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.008	0.992	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.008	0.992	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.008	0.992	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.007	0.993	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.007	0.993	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.007	0.993	0.000
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	0.994	0.006
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs3824247 lBF = `7.70157` Chr`8` : `124,721,949`	0.000	0.995	0.005
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.005	0.995	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.004	0.996	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.996	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.004	0.996	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.004	0.996	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.004	0.996	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.003	0.996	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs1045529 lBF = `1.37424` Chr`8` : `8,890,098`	0.003	0.997	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.003	0.997	0.000
rs4705 lBF = `-0.0968574` Chr`8` : `17,500,223`	0.000	0.997	0.003
rs1875714 lBF = `1.72401` Chr`8` : `68,427,547`	0.000	0.997	0.003
rs656319 lBF = `2.6904` Chr`8` : `9,814,411`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.003	0.997	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.000	0.997	0.003
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.003	0.997	0.000
rs4281086 lBF = `-0.0825628` Chr`8` : `10,352,308`	0.003	0.997	0.000
rs1393902 lBF = `1.75937` Chr`8` : `68,421,565`	0.000	0.998	0.002
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.000	0.998	0.002
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.002	0.998	0.000
rs1996720 lBF = `0.205595` Chr`8` : `113,074,096`	0.002	0.998	0.000
rs2243407 lBF = `0.00350594` Chr`8` : `11,480,457`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.002	0.998	0.000
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.002	0.998	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.002	0.998	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.998	0.002
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.000	0.998	0.002
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	0.998	0.002
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	0.998	0.002
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.002	0.998	0.000
rs12679556 lBF = `0.196355` Chr`8` : `72,514,228`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.998	0.000
rs643955 lBF = `3.05683` Chr`8` : `9,891,254`	0.000	0.998	0.002
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.002	0.998	0.000
rs1388941 lBF = `-0.0733002` Chr`8` : `19,615,471`	0.002	0.998	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.001	0.998	0.001
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	0.999	0.001
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.001	0.999	0.000
rs17373728 lBF = `-0.0670443` Chr`8` : `76,225,516`	0.000	0.999	0.001
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.999	0.000
rs1478898 lBF = `1.07653` Chr`8` : `11,395,079`	0.000	0.999	0.001
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.999	0.001
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.999	0.001
rs12682352 lBF = `3.18044` Chr`8` : `8,646,246`	0.001	0.999	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs12546962 lBF = `0.487337` Chr`8` : `9,198,185`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs4737547 lBF = `0.194995` Chr`8` : `60,545,664`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.000
rs13281291 lBF = `21.3475` Chr`8` : `25,699,664`	0.000	0.999	0.001
rs2688325 lBF = `-0.0870791` Chr`8` : `3,767,210`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.000	0.999	0.001
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs2160860 lBF = `-0.0874814` Chr`8` : `39,823,145`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs7465272 lBF = `-0.0778937` Chr`8` : `143,691,838`	0.000	0.999	0.001
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
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rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs7009516 lBF = `-0.0314287` Chr`8` : `24,208,847`	0.000	1.000	0.000
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	1.000	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	1.000	0.000
rs1520333 lBF = `-0.0462441` Chr`8` : `79,401,038`	0.000	1.000	0.000
rs4737009 lBF = `-0.0512034` Chr`8` : `41,630,405`	0.000	1.000	0.000
rs2584 lBF = `-0.113518` Chr`8` : `6,303,025`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	1.000	0.000
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	1.000	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.000	1.000	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.000	1.000	0.000
rs7843479 lBF = `-0.0814988` Chr`8` : `21,820,813`	0.000	1.000	0.000
rs1208 lBF = `-0.0928151` Chr`8` : `18,258,316`	0.000	1.000	0.000
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	1.000	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.000	1.000	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.000	1.000	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	1.000	0.000
rs1495741 lBF = `1.19235` Chr`8` : `18,272,881`	0.000	1.000	0.000
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.000	1.000	0.000
rs4921915 lBF = `0.945068` Chr`8` : `18,272,466`	0.000	1.000	0.000
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs804280 lBF = `0.196526` Chr`8` : `11,612,698`	0.000	1.000	0.000
rs2736340 lBF = `0.122135` Chr`8` : `11,343,973`	0.000	1.000	0.000
rs13278732 lBF = `0.0490226` Chr`8` : `99,088,581`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs7005606 lBF = `0.0301049` Chr`8` : `32,401,501`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs1106634 lBF = `-0.0157477` Chr`8` : `20,066,049`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	0.000	1.000	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.000	1.000	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.000	1.000	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	1.000	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.000	1.000	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	1.000	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.000	1.000	0.000
rs1566080 lBF = `-0.0134141` Chr`8` : `142,556,805`	0.000	1.000	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	1.000	0.000
rs2622590 lBF = `-0.0395154` Chr`8` : `56,358,274`	0.000	1.000	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	1.000	0.000
rs55798256 lBF = `-0.0624198` Chr`8` : `94,303,801`	0.000	1.000	0.000
rs9650199 lBF = `-0.0671861` Chr`8` : `61,346,197`	0.000	1.000	0.000
rs998731 lBF = `-0.0793837` Chr`8` : `81,095,395`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.000	1.000	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs6986153 lBF = `1.30611` Chr`8` : `108,072,044`	0.000	1.000	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs6982751 lBF = `0.174968` Chr`8` : `10,813,474`	0.000	1.000	0.000
rs13277113 lBF = `0.158059` Chr`8` : `11,349,186`	0.000	1.000	0.000
rs678347 lBF = `0.117746` Chr`8` : `102,463,602`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs10958605 lBF = `0.00350909` Chr`8` : `40,053,605`	0.000	1.000	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	1.000	0.000
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	1.000	0.000
rs10504554 lBF = `-0.0845531` Chr`8` : `74,919,713`	0.000	1.000	0.000
rs4527850 lBF = `-0.0922114` Chr`8` : `134,196,849`	0.000	1.000	0.000
rs4875598 lBF = `-0.0982412` Chr`8` : `5,461,753`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs400824 lBF = `3.72898` Chr`8` : `81,357,702`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs7839059 lBF = `0.472635` Chr`8` : `119,976,542`	0.000	1.000	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	1.000	0.000
rs10104895 lBF = `0.0572234` Chr`8` : `61,876,044`	0.000	1.000	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	1.000	0.000
rs7816924 lBF = `0.0429764` Chr`8` : `19,539,638`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6514

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2466

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0606

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9895

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9813

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9640

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9568

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9532

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9325

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9308

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9303

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9274

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9163

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9137

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9127

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9122

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9083

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9037

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8897

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8878

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8789

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8687

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8670

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8648

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8561

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8463

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8455

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8337

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8276

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8194

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8143

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8007

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7978

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7879

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7762

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7707

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7666

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7601

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7579

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7557

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7506

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7372

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7107

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7085

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7023

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6852

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6807

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6739

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6592

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6417

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6381

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6326

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6253

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6249

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6231

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6184

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6047

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6038

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5843

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5722

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5597

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5148

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5089

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4990

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4732

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4295

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4288

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4105

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3798

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3752

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3716

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3690

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3124

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2911

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2598

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2316

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2278

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2255

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2209

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2202

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2088

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2040

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2013

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1983

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1655

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1582

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1557

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1540

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1464

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1398

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1397

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1330

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1307

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1305

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1271

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1200

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1181

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1102

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1051

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1006

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0921

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0788

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0716

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0691

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0677

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0655

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0571

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0571

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0548

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0542

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0521

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0513

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`)