TreeWAS – [Z98.8] Other specified postsurgical states

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
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.918	0.082	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.844	0.156	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.840	0.160	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.731	0.268	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.675	0.325	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.669	0.331	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.648	0.352	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.647	0.353	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.642	0.358	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.619	0.381	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.611	0.389	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.587	0.412	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.583	0.417	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.563	0.437	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.554	0.446	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.531	0.469	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.478	0.522
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.517	0.483	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.507	0.493	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.505	0.495	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.503	0.497	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.480	0.520	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.477	0.523	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.474	0.525	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.448	0.551	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.445	0.555	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.444	0.555	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.439	0.560	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.439	0.561	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.417	0.582	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.403	0.597	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.402	0.598	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.397	0.603	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.376	0.624	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.371	0.629	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.370	0.630	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.363	0.637	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.358	0.642	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.338	0.661	0.001
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.336	0.663	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.334	0.666	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.328	0.671	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.322	0.677	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.316	0.683	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.305	0.695	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.304	0.695	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.303	0.697	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.286	0.713	0.001
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.285	0.715	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.274	0.725	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.273	0.727	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.243	0.756	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.242	0.758	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.232	0.767	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.192	0.808	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.182	0.818	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.175	0.824	0.001
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.166	0.833	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.154	0.846	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.154	0.846	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.154	0.846	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.141	0.859	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.136	0.864	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.130	0.870	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.119	0.881	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.113	0.887	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.109	0.891	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.108	0.891	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.087	0.913	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.086	0.913	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.085	0.915	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.083	0.917	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.082	0.917	0.001
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.079	0.921	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.077	0.923	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.923	0.076
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.070	0.930	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.064	0.936	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.063	0.937	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.055	0.945	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.045	0.955	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.043	0.957	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.040	0.960	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.040	0.960	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.039	0.961	0.001
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.038	0.962	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.028	0.971	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.027	0.973	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.022	0.978	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.020	0.979	0.000
rs76809594 lBF = `8.33722` Chr`8` : `25,639,271`	0.019	0.981	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.018	0.981	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.018	0.982	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.017	0.983	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.017	0.983	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.017	0.983	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.016	0.984	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.015	0.985	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.014	0.986	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.013	0.986	0.001
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.988	0.012
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.012	0.988	0.000
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	0.988	0.012
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.011	0.989	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.000	0.989	0.011
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.011	0.989	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.010	0.989	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.010	0.990	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	0.990	0.010
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs4075154 lBF = `-0.0319299` Chr`8` : `57,209,246`	0.000	0.991	0.009
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	0.991	0.009
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.004	0.992	0.004
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.008	0.992	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.007	0.993	0.000
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	0.994	0.006
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.005	0.994	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.001	0.995	0.005
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	0.995	0.005
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.000	0.995	0.005
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	0.995	0.005
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.005	0.995	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.004	0.995	0.001
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
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.004	0.996	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.004	0.996	0.000
rs2553268 lBF = `0.231053` Chr`8` : `30,936,356`	0.004	0.996	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.004	0.996	0.000
rs13271465 lBF = `-0.00893756` Chr`8` : `17,282,411`	0.000	0.996	0.004
rs13273123 lBF = `0.016672` Chr`8` : `57,100,791`	0.000	0.996	0.004
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs1481757 lBF = `-0.0757042` Chr`8` : `31,967,958`	0.004	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.003	0.997	0.000
rs10090896 lBF = `-0.0659405` Chr`8` : `70,680,983`	0.000	0.997	0.003
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.003	0.997	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.003	0.997	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.003	0.997	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.003	0.997	0.000
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.000	0.997	0.003
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.002	0.997	0.000
rs2294015 lBF = `-0.0667375` Chr`8` : `124,696,867`	0.003	0.997	0.000
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.000	0.997	0.003
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.002	0.998	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.002	0.998	0.000
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.002	0.998	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.002	0.998	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.002	0.998	0.000
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.002	0.998	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	0.998	0.002
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.002	0.998	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.001	0.998	0.001
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	0.998	0.002
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs6985109 lBF = `5.33563` Chr`8` : `10,761,585`	0.002	0.998	0.000
rs4602861 lBF = `3.8459` Chr`8` : `106,590,706`	0.002	0.998	0.000
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	0.998	0.002
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.002	0.998	0.000
rs6986153 lBF = `1.30611` Chr`8` : `108,072,044`	0.000	0.998	0.002
rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	0.002	0.998	0.000
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	0.998	0.002
rs2045084 lBF = `-0.0667958` Chr`8` : `144,693,839`	0.002	0.998	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.000	0.998	0.002
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.999	0.001
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	0.999	0.001
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.999	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.999	0.000
rs6469656 lBF = `-0.0614109` Chr`8` : `117,647,788`	0.000	0.999	0.001
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs4841452 lBF = `6.18226` Chr`8` : `10,687,121`	0.001	0.999	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs344235 lBF = `-0.070024` Chr`8` : `62,926,147`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs2584363 lBF = `-0.0514426` Chr`8` : `108,158,383`	0.000	0.999	0.001
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	0.999	0.001
rs755856 lBF = `6.07344` Chr`8` : `10,736,552`	0.001	0.999	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.999	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
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rs2270875 lBF = `-0.0147127` Chr`8` : `132,999,936`	0.000	1.000	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.000	1.000	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.000	1.000	0.000
rs622856 lBF = `8.44713` Chr`8` : `128,333,180`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	1.000	0.000
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	1.000	0.000
rs7816032 lBF = `-0.0496174` Chr`8` : `19,786,891`	0.000	1.000	0.000
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.000	1.000	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.000	1.000	0.000
rs4736192 lBF = `-0.0915727` Chr`8` : `139,979,825`	0.000	1.000	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	1.000	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	1.000	0.000
rs6601530 lBF = `1.87772` Chr`8` : `10,671,272`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs17373728 lBF = `-0.0670443` Chr`8` : `76,225,516`	0.000	1.000	0.000
rs62531686 lBF = `-0.0768538` Chr`8` : `138,909,719`	0.000	1.000	0.000
rs1529316 lBF = `-0.0972332` Chr`8` : `3,828,138`	0.000	1.000	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.000	1.000	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	1.000	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.000	1.000	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	1.000	0.000
rs6601327 lBF = `1.76624` Chr`8` : `9,395,532`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs11136645 lBF = `0.193906` Chr`8` : `3,498,171`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs11250099 lBF = `8.18578` Chr`8` : `10,818,657`	0.000	1.000	0.000
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.000	1.000	0.000
rs2736332 lBF = `0.12699` Chr`8` : `11,339,965`	0.000	1.000	0.000
rs4922199 lBF = `0.0780121` Chr`8` : `20,301,437`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs10957550 lBF = `-0.00048974` Chr`8` : `72,294,588`	0.000	1.000	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	1.000	0.000
rs279612 lBF = `-0.0391292` Chr`8` : `122,706,291`	0.000	1.000	0.000
rs1587409 lBF = `-0.0532446` Chr`8` : `118,263,732`	0.000	1.000	0.000
rs4733770 lBF = `-0.0617633` Chr`8` : `131,152,665`	0.000	1.000	0.000
rs1446682 lBF = `-0.0866074` Chr`8` : `27,076,598`	0.000	1.000	0.000
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	1.000	0.000
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs538641 lBF = `0.012945` Chr`8` : `103,003,703`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs2447961 lBF = `-0.0167582` Chr`8` : `102,481,308`	0.000	1.000	0.000
rs1442407 lBF = `-0.0522984` Chr`8` : `3,091,584`	0.000	1.000	0.000
rs6469937 lBF = `-0.0880785` Chr`8` : `121,610,438`	0.000	1.000	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	1.000	0.000
rs1059611 lBF = `3.30576` Chr`8` : `19,824,563`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.000	1.000	0.000
rs9987128 lBF = `0.0345873` Chr`8` : `2,980,123`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.000	1.000	0.000
rs1351356 lBF = `-0.0226904` Chr`8` : `118,600,122`	0.000	1.000	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	1.000	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.000	1.000	0.000
rs328 lBF = `4.32431` Chr`8` : `19,819,724`	0.000	1.000	0.000
rs17482753 lBF = `3.23105` Chr`8` : `19,832,646`	0.000	1.000	0.000
rs10104997 lBF = `0.28902` Chr`8` : `55,440,068`	0.000	1.000	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	1.000	0.000
rs804280 lBF = `0.196526` Chr`8` : `11,612,698`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	1.000	0.000
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.000	1.000	0.000
rs144606178 lBF = `-0.0402931` Chr`8` : `1,299,878`	0.000	1.000	0.000
rs7839488 lBF = `-0.0970719` Chr`8` : `121,562,418`	0.000	1.000	0.000
rs10103155 lBF = `23.4513` Chr`8` : `25,727,902`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	1.000	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.000	1.000	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.000	1.000	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	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

0.9490

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4911

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1861

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9942

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9819

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9770

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9741

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9712

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9602

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9571

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9537

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9421

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9346

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9302

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9116

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8974

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8972

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8687

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8665

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8555

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8287

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8102

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8068

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7691

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7672

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7641

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7468

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7465

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7383

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7161

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6857

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6830

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6689

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6311

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6280

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6180

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5735

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5723

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5691

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5351

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5198

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4560

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4263

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4058

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3998

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3900

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3864

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3792

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3699

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3691

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3559

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3477

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3460

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3376

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3363

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3176

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2934

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2856

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2850

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2821

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2812

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2786

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2786

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2757

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2754

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2456

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2312

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2249

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2185

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2054

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1965

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1751

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1696

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1404

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1347

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1188

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1171

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1033

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0997

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0854

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0782

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0779

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0770

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0706

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0651

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0625

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0591

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0591

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0566

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0554

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0541

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0525

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0516

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`)