TreeWAS – [Z98] Other 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`	0.986	0.014	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.975	0.025	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.975	0.025	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.937	0.063	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.915	0.085	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.908	0.092	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.906	0.094	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.904	0.096	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.898	0.102	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.855	0.145	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.827	0.173	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.814	0.186	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.812	0.188	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.792	0.208	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.773	0.226	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.768	0.232	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.766	0.234	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.739	0.261	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.739	0.261	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.272	0.728
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.718	0.282	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.697	0.303	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.672	0.328	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.664	0.336	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.662	0.338	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.661	0.339	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.658	0.342	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.638	0.362	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.630	0.370	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.611	0.389	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.604	0.396	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.585	0.415	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.580	0.420	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.576	0.424	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.573	0.427	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.567	0.433	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.563	0.436	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.560	0.440	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.551	0.449	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.542	0.458	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.539	0.460	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.539	0.460	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.500	0.500	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.469	0.531	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.465	0.535	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.463	0.537	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.461	0.539	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.449	0.551	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.439	0.561	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.423	0.577	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.402	0.598	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.386	0.614	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.385	0.615	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.363	0.637	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.343	0.657	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.301	0.699	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.292	0.708	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.261	0.739	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.256	0.744	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.254	0.746	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.252	0.748	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.238	0.761	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.234	0.766	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.227	0.772	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.211	0.789	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.192	0.808	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.189	0.811	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.186	0.814	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.186	0.814	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.151	0.848	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.148	0.852	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.141	0.859	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.133	0.867	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.132	0.868	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.131	0.869	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.113	0.887	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.113	0.887	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.111	0.889	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.893	0.107
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.098	0.902	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.092	0.908	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.086	0.914	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.078	0.921	0.001
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.068	0.932	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.067	0.933	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.064	0.936	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.056	0.944	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.053	0.947	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.049	0.951	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.040	0.960	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.039	0.961	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.037	0.963	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.031	0.968	0.001
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.031	0.969	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.030	0.970	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.030	0.970	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.027	0.973	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.021	0.978	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.021	0.979	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.020	0.980	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.020	0.980	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.019	0.981	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.019	0.981	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.019	0.981	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.015	0.985	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.014	0.986	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.014	0.986	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.006	0.987	0.007
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.013	0.987	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.011	0.989	0.000
rs2585135 lBF = `8.94511` Chr`8` : `143,814,193`	0.000	0.989	0.011
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.010	0.989	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.010	0.990	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.010	0.990	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.010	0.990	0.000
rs2585174 lBF = `11.5953` Chr`8` : `143,782,044`	0.000	0.990	0.010
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	0.990	0.010
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.001	0.991	0.008
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.008	0.991	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.008	0.991	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.008	0.992	0.000
rs76809594 lBF = `8.33722` Chr`8` : `25,639,271`	0.007	0.993	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.993	0.000
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	0.994	0.006
rs13264644 lBF = `12.9386` Chr`8` : `143,753,546`	0.000	0.994	0.006
rs4534106 lBF = `-0.0730172` Chr`8` : `108,789,816`	0.006	0.994	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.006	0.994	0.000
rs4075154 lBF = `-0.0319299` Chr`8` : `57,209,246`	0.000	0.994	0.006
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.006	0.994	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.006	0.994	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.005	0.995	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.005	0.995	0.000
rs1481757 lBF = `-0.0757042` Chr`8` : `31,967,958`	0.005	0.995	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.004	0.995	0.000
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	0.995	0.005
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.004	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.004	0.996	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.004	0.996	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.004	0.996	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.004	0.996	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	0.996	0.004
rs2553268 lBF = `0.231053` Chr`8` : `30,936,356`	0.004	0.996	0.000
rs9650315 lBF = `0.0180583` Chr`8` : `57,155,598`	0.000	0.996	0.004
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.996	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.003	0.997	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.003	0.997	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.003	0.997	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.003	0.997	0.000
rs13273123 lBF = `0.016672` Chr`8` : `57,100,791`	0.000	0.997	0.003
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.997	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.002	0.998	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs13263568 lBF = `-0.0180291` Chr`8` : `72,447,418`	0.002	0.998	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.002	0.998	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.002	0.998	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.002	0.998	0.000
rs2976387 lBF = `24.3072` Chr`8` : `143,759,364`	0.002	0.998	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	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`	0.001	0.998	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	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
rs7831697 lBF = `-0.0486747` Chr`8` : `138,136,304`	0.000	0.999	0.001
rs7827290 lBF = `0.0731665` Chr`8` : `142,300,315`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.001	0.999	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.999	0.001
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs28526159 lBF = `-0.0336001` Chr`8` : `19,891,227`	0.000	0.999	0.001
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs13269021 lBF = `-0.031375` Chr`8` : `6,396,763`	0.001	0.999	0.000
rs2859998 lBF = `0.145979` Chr`8` : `59,324,162`	0.001	0.999	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.999	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	0.999	0.001
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.001	0.999	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.000	0.999	0.001
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	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
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
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rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	1.000	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.000	1.000	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs4841452 lBF = `6.18226` Chr`8` : `10,687,121`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	1.000	0.000
rs2247572 lBF = `0.0484154` Chr`8` : `73,633,028`	0.000	1.000	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs10090896 lBF = `-0.0659405` Chr`8` : `70,680,983`	0.000	1.000	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.000	1.000	0.000
rs7824557 lBF = `0.367127` Chr`8` : `11,104,111`	0.000	1.000	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	1.000	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.000	1.000	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs4602861 lBF = `3.8459` Chr`8` : `106,590,706`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	1.000	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs10108684 lBF = `0.0286393` Chr`8` : `123,973,068`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs2439312 lBF = `-0.0253318` Chr`8` : `32,412,359`	0.000	1.000	0.000
rs2916733 lBF = `-0.0629949` Chr`8` : `6,323,278`	0.000	1.000	0.000
rs10098647 lBF = `-0.102468` Chr`8` : `61,105,199`	0.000	1.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.000	1.000	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.000	1.000	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	1.000	0.000
rs6993770 lBF = `2.81927` Chr`8` : `106,581,528`	0.000	1.000	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.000	1.000	0.000
rs11777116 lBF = `0.029769` Chr`8` : `24,044,301`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs11136341 lBF = `0.0141972` Chr`8` : `145,043,543`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs117025875 lBF = `-0.0256854` Chr`8` : `6,999,135`	0.000	1.000	0.000
rs7816032 lBF = `-0.0496174` Chr`8` : `19,786,891`	0.000	1.000	0.000
rs4871137 lBF = `-0.0990842` Chr`8` : `121,868,551`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs7819412 lBF = `2.31897` Chr`8` : `11,045,161`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	1.000	0.000
rs11135910 lBF = `0.678122` Chr`8` : `25,892,142`	0.000	1.000	0.000
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	1.000	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	1.000	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	1.000	0.000
rs2736332 lBF = `0.12699` Chr`8` : `11,339,965`	0.000	1.000	0.000
rs7826906 lBF = `0.0190413` Chr`8` : `121,501,723`	0.000	1.000	0.000
rs73229090 lBF = `0.00150645` Chr`8` : `27,442,127`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs4236709 lBF = `-0.0309197` Chr`8` : `32,410,110`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs10092658 lBF = `-0.0463732` Chr`8` : `130,980,472`	0.000	1.000	0.000
rs13257518 lBF = `-0.0487025` Chr`8` : `32,635,574`	0.000	1.000	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.000	1.000	0.000
rs2294015 lBF = `-0.0667375` Chr`8` : `124,696,867`	0.000	1.000	0.000
rs17232789 lBF = `-0.0673264` Chr`8` : `122,622,500`	0.000	1.000	0.000
rs2294025 lBF = `-0.0824955` Chr`8` : `134,145,512`	0.000	1.000	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.000	1.000	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.000	1.000	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.000	1.000	0.000
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs17687067 lBF = `0.0484255` Chr`8` : `17,036,201`	0.000	1.000	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	1.000	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	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

0.9911

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6008

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1955

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9998

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9997

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9996

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9996

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9995

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9995

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9994

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9989

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9978

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9976

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9973

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9957

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9940

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9939

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9938

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9917

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9896

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9865

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9847

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9832

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9824

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9809

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9782

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9762

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9751

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9736

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9608

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9512

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9457

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9410

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9402

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9361

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9353

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9303

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9294

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9180

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9160

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9143

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9119

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9071

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8784

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8771

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8753

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8713

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8399

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8316

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8295

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8234

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8207

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8015

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7609

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7604

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7596

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7450

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7449

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7338

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7317

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7312

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7224

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7070

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6679

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6582

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6352

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6300

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5934

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5901

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5804

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5720

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5692

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5606

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5535

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5473

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5040

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5021

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4929

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4835

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4832

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4753

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4583

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4220

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4067

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3856

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3528

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3492

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3441

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3288

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3274

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3210

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2841

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2799

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2705

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2701

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2457

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2253

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2142

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1998

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1780

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1774

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1701

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1652

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1620

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1614

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1417

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1261

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1021

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1010

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0961

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0960

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0946

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0882

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0862

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0845

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0777

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0726

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0712

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0693

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0660

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0595

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0560

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0542

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0541

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.

Parent term	Z80-Z99 Persons with potential health hazards related to family and personal history and certain conditions influencing health status
Nested terms	Z98.0 Intestinal bypass and anastomosis status Z98.1 Arthrodesis status Z98.2 Presence of cerebrospinal fluid drainage device Z98.8 Other specified postsurgical states

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`)