TreeWAS – [Z96.2] Presence of otological and audiological 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
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.841	0.159	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.715	0.284	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.715	0.285	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.713	0.286	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.712	0.288	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.690	0.310	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.687	0.313	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.675	0.325	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.646	0.354	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`	0.634	0.365	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.614	0.386	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.610	0.390	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.570	0.429	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`	0.551	0.449	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.540	0.459	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.526	0.474	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.502	0.498	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.502	0.498	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.489	0.511	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.488	0.511	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.476	0.523	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.456	0.544	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.432	0.568	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.408	0.592	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.402	0.598	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.363	0.637	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.360	0.640	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.360	0.640	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.355	0.645	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.335	0.665	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.329	0.671	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.328	0.672	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.321	0.679	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.316	0.684	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.311	0.689	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.305	0.694	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.304	0.696	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.283	0.717	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.275	0.725	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.269	0.731	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.259	0.741	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.254	0.746	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.247	0.753	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.222	0.778	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.221	0.778	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.219	0.781	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.216	0.784	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.213	0.787	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.196	0.804	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.194	0.806	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.193	0.807	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.187	0.813	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.183	0.817	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.182	0.818	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.158	0.842	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.157	0.843	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.145	0.855	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.144	0.856	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.136	0.864	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.105	0.894	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.105	0.895	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
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.093	0.906	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.090	0.910	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.089	0.911	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.087	0.913	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.086	0.914	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.077	0.923	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.925	0.075
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.067	0.932	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.067	0.933	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.061	0.939	0.000
rs2055729 lBF = `0.793112` Chr`8` : `9,792,662`	0.000	0.959	0.041
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
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
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.035	0.965	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.031	0.969	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.030	0.969	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.030	0.970	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.023	0.977	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.022	0.978	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.021	0.979	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.021	0.979	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`	0.018	0.982	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.015	0.985	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
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.012	0.988	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.012	0.988	0.000
rs11250098 lBF = `9.99463` Chr`8` : `10,818,607`	0.000	0.988	0.012
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.011	0.988	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.011	0.989	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.010	0.990	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.010	0.990	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.010	0.990	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	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
rs11786541 lBF = `3.50621` Chr`8` : `9,789,549`	0.000	0.992	0.008
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.008	0.992	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.008	0.992	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.007	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.007	0.993	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.006	0.994	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.996	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.004	0.996	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.004	0.996	0.000
rs656319 lBF = `2.6904` Chr`8` : `9,814,411`	0.000	0.996	0.004
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.004	0.996	0.000
rs1045529 lBF = `1.37424` Chr`8` : `8,890,098`	0.004	0.996	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.003	0.996	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.003	0.996	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.003	0.997	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.003	0.997	0.000
rs330071 lBF = `6.69881` Chr`8` : `9,159,895`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs643955 lBF = `3.05683` Chr`8` : `9,891,254`	0.000	0.997	0.003
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.003	0.997	0.000
rs1478898 lBF = `1.07653` Chr`8` : `11,395,079`	0.000	0.997	0.003
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.002	0.998	0.000
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.000	0.998	0.002
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.998	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.998	0.002
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
rs330048 lBF = `2.7217` Chr`8` : `9,087,278`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.002	0.998	0.000
rs13258681 lBF = `7.41684` Chr`8` : `124,714,722`	0.002	0.998	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.002	0.998	0.000
rs6991347 lBF = `8.62128` Chr`8` : `25,756,681`	0.000	0.998	0.002
rs12682352 lBF = `3.18044` Chr`8` : `8,646,246`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs13253111 lBF = `-0.0521439` Chr`8` : `28,061,974`	0.000	0.998	0.002
rs4292676 lBF = `-0.069044` Chr`8` : `21,520,248`	0.002	0.998	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	0.998	0.001
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.999	0.001
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs6985109 lBF = `5.33563` Chr`8` : `10,761,585`	0.001	0.999	0.000
rs4871750 lBF = `2.92135` Chr`8` : `127,902,003`	0.000	0.999	0.001
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.000	0.999	0.001
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.999	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.001	0.999	0.000
rs4841452 lBF = `6.18226` Chr`8` : `10,687,121`	0.001	0.999	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs2953805 lBF = `1.1167` Chr`8` : `8,914,757`	0.001	0.999	0.000
rs1388941 lBF = `-0.0733002` Chr`8` : `19,615,471`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	0.999	0.001
rs2898261 lBF = `1.10657` Chr`8` : `10,958,539`	0.000	0.999	0.001
rs6468049 lBF = `-0.00898003` Chr`8` : `31,342,467`	0.000	0.999	0.001
rs75686122 lBF = `0.0949831` Chr`8` : `104,573,789`	0.000	0.999	0.001
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.999	0.001
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
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.001	0.999	0.000
rs12542743 lBF = `0.281699` Chr`8` : `32,318,355`	0.001	0.999	0.000
rs12546962 lBF = `0.487337` Chr`8` : `9,198,185`	0.001	0.999	0.000
rs7826660 lBF = `5.40669` Chr`8` : `8,379,107`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs13259109 lBF = `0.04898` Chr`8` : `113,115,897`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs2220321 lBF = `2.73724` Chr`8` : `127,911,596`	0.000	0.999	0.001
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
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	0.999	0.001
rs7005380 lBF = `0.0580762` Chr`8` : `120,953,873`	0.001	0.999	0.000
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
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
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rs2294015 lBF = `-0.0667375` Chr`8` : `124,696,867`	0.000	1.000	0.000
rs7819988 lBF = `-0.0691533` Chr`8` : `122,210,890`	0.000	1.000	0.000
rs4129585 lBF = `-0.0781628` Chr`8` : `143,312,933`	0.000	1.000	0.000
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.000	1.000	0.000
rs6998277 lBF = `-0.0997472` Chr`8` : `103,639,941`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.000	1.000	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	1.000	0.000
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs7814319 lBF = `0.518464` Chr`8` : `97,263,418`	0.000	1.000	0.000
rs12549902 lBF = `0.251383` Chr`8` : `41,509,259`	0.000	1.000	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.000	1.000	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	1.000	0.000
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	1.000	0.000
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.000	1.000	0.000
rs6981717 lBF = `-0.00626097` Chr`8` : `89,188,454`	0.000	1.000	0.000
rs4875857 lBF = `-0.0289557` Chr`8` : `2,819,809`	0.000	1.000	0.000
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	1.000	0.000
rs55828312 lBF = `-0.0437374` Chr`8` : `42,589,602`	0.000	1.000	0.000
rs17669535 lBF = `-0.0535021` Chr`8` : `1,244,224`	0.000	1.000	0.000
rs10102546 lBF = `-0.0547196` Chr`8` : `120,556,574`	0.000	1.000	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.000	1.000	0.000
rs2410601 lBF = `-0.0828744` Chr`8` : `18,922,577`	0.000	1.000	0.000
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.000	1.000	0.000
rs2077212 lBF = `-0.0951277` Chr`8` : `5,982,272`	0.000	1.000	0.000
rs10504543 lBF = `-0.105699` Chr`8` : `73,778,642`	0.000	1.000	0.000
rs13251954 lBF = `-0.131242` Chr`8` : `28,995,022`	0.000	1.000	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs7813489 lBF = `9.06018` Chr`8` : `25,749,405`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	1.000	0.000
rs6470120 lBF = `0.393782` Chr`8` : `123,881,218`	0.000	1.000	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	1.000	0.000
rs17091905 lBF = `0.274818` Chr`8` : `19,849,757`	0.000	1.000	0.000
rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	0.000	1.000	0.000
rs2945733 lBF = `0.110693` Chr`8` : `134,615,750`	0.000	1.000	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	1.000	0.000
rs1364705 lBF = `0.0243758` Chr`8` : `120,224,806`	0.000	1.000	0.000
rs17068510 lBF = `-0.00515294` Chr`8` : `3,863,111`	0.000	1.000	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.000	1.000	0.000
rs1036821 lBF = `-0.0350258` Chr`8` : `135,650,483`	0.000	1.000	0.000
rs4737009 lBF = `-0.0512034` Chr`8` : `41,630,405`	0.000	1.000	0.000
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.000	1.000	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.000	1.000	0.000
rs7017212 lBF = `-0.0777989` Chr`8` : `10,022,938`	0.000	1.000	0.000
rs4705 lBF = `-0.0968574` Chr`8` : `17,500,223`	0.000	1.000	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	1.000	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.000	1.000	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs6993770 lBF = `2.81927` Chr`8` : `106,581,528`	0.000	1.000	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	0.000	1.000	0.000
rs915650 lBF = `0.196888` Chr`8` : `37,657,526`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs16894459 lBF = `0.0605727` Chr`8` : `97,327,679`	0.000	1.000	0.000
rs7816924 lBF = `0.0429764` Chr`8` : `19,539,638`	0.000	1.000	0.000
rs7844537 lBF = `0.0409733` Chr`8` : `28,954,892`	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
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.000	1.000	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.000	1.000	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	1.000	0.000
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	1.000	0.000
rs6982636 lBF = `31.1136` Chr`8` : `126,479,315`	0.000	1.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.000	1.000	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs2912522 lBF = `7.07022` Chr`8` : `69,992,380`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	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

0.6741

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2623

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9856

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9541

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9513

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9505

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9497

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9220

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9219

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9166

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9129

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8846

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8834

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8820

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8670

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8638

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8547

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8435

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8426

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8312

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8268

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8254

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7957

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7823

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7794

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7753

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7736

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7709

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7693

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7653

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7604

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7563

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7480

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7390

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7369

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7167

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7167

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7165

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7140

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7135

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7127

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7104

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7092

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6905

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6856

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6842

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6832

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6819

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6742

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6674

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6647

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6640

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6567

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6514

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6383

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6352

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6285

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6278

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6237

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6175

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5933

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5671

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5534

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5395

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5076

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4713

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4599

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4405

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4399

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4360

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4359

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4142

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3878

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3526

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3266

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3252

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3157

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2696

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2493

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2446

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2273

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2182

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2128

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2068

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2009

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1922

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1693

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1688

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1686

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1452

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1438

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1376

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1343

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1280

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1262

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1206

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1159

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1102

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1021

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0983

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0956

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0934

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0886

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0862

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0818

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0818

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0791

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0701

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0628

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0602

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0548

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0505

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0504

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`)