TreeWAS – [Z98.1] Arthrodesis status

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
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.796	0.204	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.756	0.244	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.692	0.308	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.684	0.316	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.674	0.326	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.646	0.354	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.645	0.355	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.611	0.389	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.607	0.392	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.600	0.400	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.598	0.402	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.583	0.416	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.572	0.427	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.563	0.437	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.562	0.438	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.555	0.445	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.555	0.445	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.544	0.456	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.530	0.469	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.523	0.477	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.478	0.522
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.510	0.490	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.491	0.509	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.480	0.520	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.474	0.525	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.471	0.529	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.463	0.536	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.456	0.544	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.450	0.550	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.443	0.557	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.431	0.569	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.424	0.576	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.418	0.582	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.412	0.588	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.399	0.601	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.391	0.609	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.390	0.609	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.368	0.632	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.351	0.649	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.342	0.657	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.338	0.662	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.336	0.663	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.329	0.671	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.324	0.676	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.304	0.696	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.300	0.699	0.001
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.299	0.701	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.293	0.707	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.291	0.709	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.290	0.710	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.288	0.712	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.273	0.726	0.001
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.243	0.757	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.223	0.777	0.001
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.211	0.789	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.205	0.795	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.191	0.809	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.184	0.816	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.172	0.828	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.159	0.841	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.155	0.845	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.145	0.855	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.136	0.864	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.130	0.869	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.127	0.873	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.120	0.880	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.107	0.893	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.106	0.894	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.100	0.899	0.001
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.098	0.902	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.085	0.915	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.923	0.076
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.075	0.925	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.070	0.930	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.069	0.931	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.058	0.942	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.049	0.951	0.001
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.043	0.957	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.042	0.958	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.041	0.959	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.040	0.960	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.039	0.960	0.001
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.038	0.962	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.038	0.962	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.035	0.964	0.001
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.034	0.966	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.030	0.969	0.001
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.029	0.970	0.001
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.025	0.975	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.022	0.977	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.020	0.980	0.001
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.020	0.980	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	0.981	0.019
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.000	0.982	0.018
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.018	0.982	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.016	0.983	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.015	0.985	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.014	0.985	0.001
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.014	0.986	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.986	0.014
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.014	0.986	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.013	0.987	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.012	0.988	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.011	0.989	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.011	0.989	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.011	0.989	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.011	0.989	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.011	0.989	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.010	0.990	0.000
rs2941484 lBF = `-0.13492` Chr`8` : `76,478,768`	0.000	0.990	0.010
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.004	0.991	0.005
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs2407314 lBF = `0.0128268` Chr`8` : `4,078,353`	0.000	0.993	0.007
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.007	0.993	0.000
rs13269021 lBF = `-0.031375` Chr`8` : `6,396,763`	0.007	0.993	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	0.993	0.007
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.007	0.993	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.001	0.994	0.006
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.005	0.994	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.005	0.995	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.005	0.995	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	0.995	0.005
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.004	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.004	0.996	0.000
rs1481757 lBF = `-0.0757042` Chr`8` : `31,967,958`	0.004	0.996	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.004	0.996	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.003	0.996	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs10448080 lBF = `-0.103552` Chr`8` : `28,604,791`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs2553268 lBF = `0.231053` Chr`8` : `30,936,356`	0.003	0.997	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.002	0.997	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	0.997	0.003
rs11136341 lBF = `0.0141972` Chr`8` : `145,043,543`	0.000	0.997	0.003
rs7828089 lBF = `-0.106178` Chr`8` : `22,264,334`	0.000	0.997	0.003
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.002	0.998	0.000
rs6993770 lBF = `2.81927` Chr`8` : `106,581,528`	0.000	0.998	0.002
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.002	0.998	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.002	0.998	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs4602861 lBF = `3.8459` Chr`8` : `106,590,706`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.002	0.998	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.002	0.998	0.000
rs9886428 lBF = `-0.114257` Chr`8` : `14,113,816`	0.002	0.998	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.002	0.998	0.000
rs28526159 lBF = `-0.0336001` Chr`8` : `19,891,227`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.000
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	0.998	0.002
rs2045084 lBF = `-0.0667958` Chr`8` : `144,693,839`	0.002	0.998	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.002	0.998	0.000
rs10106540 lBF = `-0.0881243` Chr`8` : `134,461,851`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.001	0.998	0.000
rs10481151 lBF = `-0.0472283` Chr`8` : `124,831,834`	0.000	0.998	0.002
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.998	0.000
rs4733271 lBF = `0.712801` Chr`8` : `31,567,006`	0.002	0.998	0.000
rs55646585 lBF = `0.0292761` Chr`8` : `144,999,621`	0.000	0.998	0.002
rs4075154 lBF = `-0.0319299` Chr`8` : `57,209,246`	0.000	0.999	0.001
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.001	0.999	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.001	0.999	0.000
rs7827290 lBF = `0.0731665` Chr`8` : `142,300,315`	0.001	0.999	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.001	0.999	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.001	0.999	0.000
rs7461753 lBF = `0.00463652` Chr`8` : `144,981,498`	0.000	0.999	0.001
rs12543592 lBF = `-0.0469522` Chr`8` : `123,511,652`	0.001	0.999	0.000
rs7845056 lBF = `-0.0518936` Chr`8` : `143,020,731`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.999	0.001
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.001	0.999	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.001	0.999	0.000
rs11780978 lBF = `0.0109366` Chr`8` : `145,034,852`	0.000	0.999	0.001
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	0.999	0.001
rs11995572 lBF = `0.255395` Chr`8` : `89,592,083`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs76809594 lBF = `8.33722` Chr`8` : `25,639,271`	0.001	0.999	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.000	0.999	0.001
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	0.999	0.001
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rs2584363 lBF = `-0.0514426` Chr`8` : `108,158,383`	0.000	0.999	0.001
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rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs11777402 lBF = `-0.00210228` Chr`8` : `144,995,736`	0.000	1.000	0.000
rs4921617 lBF = `-0.0100612` Chr`8` : `18,782,047`	0.000	1.000	0.000
rs11778026 lBF = `-0.0123139` Chr`8` : `144,996,408`	0.000	1.000	0.000
rs11786903 lBF = `-0.0127512` Chr`8` : `144,996,598`	0.000	1.000	0.000
rs12216812 lBF = `-0.0208649` Chr`8` : `82,151,747`	0.000	1.000	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.000	1.000	0.000
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.000	1.000	0.000
rs6990361 lBF = `-0.0418494` Chr`8` : `144,987,221`	0.000	1.000	0.000
rs344235 lBF = `-0.070024` Chr`8` : `62,926,147`	0.000	1.000	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.000	1.000	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.000	1.000	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs10086568 lBF = `0.258841` Chr`8` : `6,900,336`	0.000	1.000	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.000	1.000	0.000
rs17359493 lBF = `0.171782` Chr`8` : `95,856,911`	0.000	1.000	0.000
rs284489 lBF = `0.156258` Chr`8` : `105,958,020`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs4841398 lBF = `0.00282566` Chr`8` : `10,462,806`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	1.000	0.000
rs3923387 lBF = `-0.03853` Chr`8` : `144,986,793`	0.000	1.000	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.000	1.000	0.000
rs13259109 lBF = `0.04898` Chr`8` : `113,115,897`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs1379326 lBF = `-0.0103528` Chr`8` : `4,617,810`	0.000	1.000	0.000
rs7461897 lBF = `-0.0288878` Chr`8` : `26,894,544`	0.000	1.000	0.000
rs6984820 lBF = `-0.0537633` Chr`8` : `144,993,324`	0.000	1.000	0.000
rs1906493 lBF = `-0.0772123` Chr`8` : `127,092,882`	0.000	1.000	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.000	1.000	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs284491 lBF = `0.0426404` Chr`8` : `105,958,633`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs9297216 lBF = `-0.0266697` Chr`8` : `34,045,261`	0.000	1.000	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	1.000	0.000
rs6469656 lBF = `-0.0614109` Chr`8` : `117,647,788`	0.000	1.000	0.000
rs6472903 lBF = `-0.0821263` Chr`8` : `76,230,301`	0.000	1.000	0.000
rs4077669 lBF = `-0.0933115` Chr`8` : `144,976,572`	0.000	1.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	1.000	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs3104964 lBF = `0.0342882` Chr`8` : `96,595,736`	0.000	1.000	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs12550729 lBF = `-0.0322055` Chr`8` : `145,155,408`	0.000	1.000	0.000
rs7010805 lBF = `-0.0756655` Chr`8` : `144,976,720`	0.000	1.000	0.000
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.000	1.000	0.000
rs10098647 lBF = `-0.102468` Chr`8` : `61,105,199`	0.000	1.000	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	1.000	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	1.000	0.000
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.000	1.000	0.000
rs17060993 lBF = `-0.0123407` Chr`8` : `26,922,112`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs7816936 lBF = `-0.015758` Chr`8` : `5,071,412`	0.000	1.000	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.000	1.000	0.000
rs1520333 lBF = `-0.0462441` Chr`8` : `79,401,038`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	1.000	0.000
rs10111661 lBF = `0.994666` Chr`8` : `20,336,573`	0.000	1.000	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.000	1.000	0.000
rs10104997 lBF = `0.28902` Chr`8` : `55,440,068`	0.000	1.000	0.000
rs10102164 lBF = `0.173184` Chr`8` : `55,421,614`	0.000	1.000	0.000
rs7823896 lBF = `0.00330636` Chr`8` : `110,217,266`	0.000	1.000	0.000
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	1.000	0.000
rs891835 lBF = `-0.0306317` Chr`8` : `130,491,752`	0.000	1.000	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.000	1.000	0.000
rs12542166 lBF = `-0.03426` Chr`8` : `122,982,838`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs1036821 lBF = `-0.0350258` Chr`8` : `135,650,483`	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

0.8671

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5105

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1747

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9997

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9971

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9907

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9799

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9709

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9703

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9656

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9545

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9530

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9530

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9389

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9361

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9302

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9201

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9117

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8892

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8489

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8457

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8455

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8168

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8085

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7968

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7850

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7447

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7225

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7097

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6983

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6827

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6803

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6688

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6510

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6492

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6268

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6001

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5901

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5581

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5413

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5389

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5317

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5313

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5158

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5000

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4965

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4857

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4614

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4529

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4366

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4327

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4210

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4105

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4010

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3921

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3847

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3756

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3752

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3643

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3598

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3478

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3427

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3229

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2873

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2869

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2494

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2418

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2285

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2266

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2021

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1912

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1824

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1597

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1290

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1178

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1140

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1128

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1114

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1107

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1092

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0978

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0971

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0962

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0910

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0845

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0835

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0805

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0791

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0774

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0746

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0712

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0698

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0691

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0656

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0643

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0622

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0606

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0599

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0583

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0545

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`)