TreeWAS – [Z82.0] Family history of epilepsy and other diseases of the nervous system

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
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.781	0.219	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.760	0.240	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.758	0.241	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.685	0.315	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.656	0.344	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.642	0.358	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.634	0.366	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.610	0.390	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.604	0.395	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.587	0.413	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.585	0.415	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.568	0.432	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.434	0.566
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.535	0.465	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.525	0.475	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.516	0.484	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.510	0.490	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.504	0.496	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.490	0.510	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.482	0.518	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.455	0.545	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.452	0.548	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.449	0.551	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.437	0.563	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.434	0.565	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.425	0.575	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.424	0.576	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.407	0.593	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.400	0.600	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.398	0.602	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.394	0.606	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.392	0.608	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.390	0.610	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.385	0.615	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.353	0.647	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.347	0.652	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.346	0.654	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.340	0.660	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.325	0.674	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.325	0.675	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.311	0.688	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.308	0.692	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.299	0.701	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.289	0.711	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.278	0.722	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.270	0.729	0.001
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.264	0.736	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.256	0.744	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.249	0.750	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.246	0.754	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.242	0.758	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.237	0.763	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.234	0.766	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.233	0.767	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.222	0.778	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.220	0.780	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.205	0.795	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.195	0.804	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.181	0.819	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.178	0.822	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.176	0.824	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.158	0.841	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.150	0.850	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.142	0.858	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.142	0.858	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.136	0.864	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.132	0.867	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.120	0.879	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.112	0.888	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.111	0.888	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.107	0.892	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.102	0.898	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.100	0.899	0.001
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.100	0.900	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.094	0.906	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.085	0.915	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.080	0.920	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.924	0.076
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.074	0.926	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.070	0.929	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.045	0.955	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.044	0.956	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.040	0.960	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.037	0.963	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.035	0.965	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.034	0.966	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.033	0.966	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.033	0.967	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.032	0.968	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.025	0.975	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.023	0.977	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.021	0.979	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.020	0.980	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.018	0.982	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.017	0.982	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.017	0.983	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.016	0.984	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.015	0.985	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.013	0.987	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.011	0.989	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.011	0.989	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.011	0.989	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.011	0.989	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.010	0.990	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.991	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.009	0.991	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.009	0.991	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.008	0.992	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.008	0.992	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.992	0.008
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.008	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.007	0.993	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.007	0.993	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.006	0.994	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.006	0.994	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.005	0.995	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.005	0.995	0.000
rs13278529 lBF = `-0.045506` Chr`8` : `40,333,321`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.005	0.995	0.000
rs10106298 lBF = `0.0627639` Chr`8` : `103,688,381`	0.000	0.995	0.005
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	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
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.996	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.996	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.997	0.000
rs7006687 lBF = `-0.0965045` Chr`8` : `18,233,582`	0.003	0.997	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs6993770 lBF = `2.81927` Chr`8` : `106,581,528`	0.003	0.997	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.003	0.997	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.002	0.998	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.002	0.998	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.002	0.998	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	0.998	0.002
rs10492294 lBF = `0.192993` Chr`8` : `129,246,415`	0.000	0.998	0.002
rs12547604 lBF = `0.0948587` Chr`8` : `4,860,491`	0.000	0.998	0.002
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.002	0.998	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.998	0.002
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	0.998	0.002
rs9792269 lBF = `-0.0139359` Chr`8` : `129,264,589`	0.000	0.998	0.002
rs7012814 lBF = `0.264762` Chr`8` : `9,173,358`	0.000	0.998	0.002
rs1371867 lBF = `-0.0117682` Chr`8` : `101,330,209`	0.000	0.998	0.002
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.001	0.998	0.000
rs7814403 lBF = `0.775744` Chr`8` : `36,459,454`	0.001	0.999	0.000
rs2172820 lBF = `-0.0482136` Chr`8` : `15,325,668`	0.000	0.999	0.001
rs4072286 lBF = `-0.0969006` Chr`8` : `142,736,531`	0.000	0.999	0.001
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.999	0.001
rs7011049 lBF = `-0.0709462` Chr`8` : `53,834,012`	0.000	0.999	0.001
rs13279799 lBF = `-0.0725572` Chr`8` : `117,541,607`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.001	0.999	0.000
rs4602861 lBF = `3.8459` Chr`8` : `106,590,706`	0.001	0.999	0.000
rs915650 lBF = `0.196888` Chr`8` : `37,657,526`	0.001	0.999	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.001	0.999	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.001	0.999	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.001	0.999	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.001	0.999	0.000
rs17349258 lBF = `0.00084495` Chr`8` : `4,841,024`	0.000	0.999	0.001
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.001	0.999	0.000
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.000	0.999	0.001
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.999	0.000
rs7005380 lBF = `0.0580762` Chr`8` : `120,953,873`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs13254600 lBF = `-0.0862594` Chr`8` : `124,089,526`	0.000	0.999	0.001
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.001	0.999	0.000
rs13254738 lBF = `-0.0366046` Chr`8` : `128,104,343`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs2019960 lBF = `0.040114` Chr`8` : `129,192,271`	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
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
rs6988229 lBF = `-0.0887463` Chr`8` : `139,884,509`	0.001	0.999	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.001	0.999	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	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
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs182387400 lBF = `0` Chr`8` : `25,129,708`	0.001	0.999	0.001
rs192074192 lBF = `0` Chr`8` : `73,025,833`	0.001	0.999	0.001
rs147851892 lBF = `0` Chr`8` : `24,234,355`	0.001	0.999	0.001
rs188809019 lBF = `0` Chr`8` : `129,286,235`	0.001	0.999	0.001
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rs75455452 lBF = `0` Chr`8` : `72,991,580`	0.001	0.999	0.001
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rs1495741 lBF = `1.19235` Chr`8` : `18,272,881`	0.000	1.000	0.000
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	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
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.000	1.000	0.000
rs1478897 lBF = `0.0531578` Chr`8` : `11,395,232`	0.000	1.000	0.000
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.000	1.000	0.000
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.000	1.000	0.000
rs1065837 lBF = `-0.0132925` Chr`8` : `144,990,335`	0.000	1.000	0.000
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.000	1.000	0.000
rs6990042 lBF = `-0.077602` Chr`8` : `14,173,974`	0.000	1.000	0.000
rs2941484 lBF = `-0.13492` Chr`8` : `76,478,768`	0.000	1.000	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.000	1.000	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	1.000	0.000
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	1.000	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	1.000	0.000
rs9987289 lBF = `1.05596` Chr`8` : `9,183,358`	0.000	1.000	0.000
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.000	1.000	0.000
rs111703385 lBF = `0.13607` Chr`8` : `8,499,516`	0.000	1.000	0.000
rs11995252 lBF = `0.051679` Chr`8` : `122,621,909`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	1.000	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	1.000	0.000
rs6982250 lBF = `-0.0570396` Chr`8` : `70,412,450`	0.000	1.000	0.000
rs58810682 lBF = `-0.0694024` Chr`8` : `43,695,234`	0.000	1.000	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.000	1.000	0.000
rs10088262 lBF = `-0.10496` Chr`8` : `124,765,702`	0.000	1.000	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	1.000	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	1.000	0.000
rs6601530 lBF = `1.87772` Chr`8` : `10,671,272`	0.000	1.000	0.000
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	1.000	0.000
rs16887244 lBF = `0.0893133` Chr`8` : `38,031,345`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs2944755 lBF = `0.0852789` Chr`8` : `141,574,194`	0.000	1.000	0.000
rs56156301 lBF = `0.00794506` Chr`8` : `104,147,804`	0.000	1.000	0.000
rs7461753 lBF = `0.00463652` Chr`8` : `144,981,498`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs2945731 lBF = `-0.0243587` Chr`8` : `134,640,088`	0.000	1.000	0.000
rs12682527 lBF = `-0.0265521` Chr`8` : `21,321,004`	0.000	1.000	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	1.000	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.000	1.000	0.000
rs11777345 lBF = `-0.0602902` Chr`8` : `5,426,531`	0.000	1.000	0.000
rs7010805 lBF = `-0.0756655` Chr`8` : `144,976,720`	0.000	1.000	0.000
rs4875053 lBF = `-0.0791384` Chr`8` : `144,872,411`	0.000	1.000	0.000
rs1714746 lBF = `-0.0900439` Chr`8` : `4,105,147`	0.000	1.000	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.000	1.000	0.000
rs7841189 lBF = `1.77779` Chr`8` : `19,845,376`	0.000	1.000	0.000
rs56292044 lBF = `0.784944` Chr`8` : `138,776,547`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	1.000	0.000
rs7004484 lBF = `0.0286376` Chr`8` : `132,934,538`	0.000	1.000	0.000
rs7826906 lBF = `0.0190413` Chr`8` : `121,501,723`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs16904179 lBF = `-0.0207368` Chr`8` : `130,958,951`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.000	1.000	0.000
rs7009516 lBF = `-0.0314287` Chr`8` : `24,208,847`	0.000	1.000	0.000
rs804292 lBF = `-0.0513329` Chr`8` : `11,643,915`	0.000	1.000	0.000
rs7015048 lBF = `-0.0923728` Chr`8` : `144,984,283`	0.000	1.000	0.000
rs7837688 lBF = `15.6076` Chr`8` : `128,539,360`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	1.000	0.000
rs2121904 lBF = `5.84292` Chr`8` : `109,379,633`	0.000	1.000	0.000
rs10096633 lBF = `4.10153` Chr`8` : `19,830,921`	0.000	1.000	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	1.000	0.000
rs17410962 lBF = `2.05556` Chr`8` : `19,848,080`	0.000	1.000	0.000
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	1.000	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	1.000	0.000
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.000	1.000	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs7816936 lBF = `-0.015758` Chr`8` : `5,071,412`	0.000	1.000	0.000
rs921720 lBF = `-0.07194` Chr`8` : `126,534,671`	0.000	1.000	0.000
rs10956252 lBF = `-0.0720595` Chr`8` : `126,536,137`	0.000	1.000	0.000
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.000	1.000	0.000
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.000	1.000	0.000
rs4077669 lBF = `-0.0933115` Chr`8` : `144,976,572`	0.000	1.000	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.000	1.000	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.000	1.000	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.000	1.000	0.000
rs6470120 lBF = `0.393782` Chr`8` : `123,881,218`	0.000	1.000	0.000
rs4737547 lBF = `0.194995` Chr`8` : `60,545,664`	0.000	1.000	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs7829759 lBF = `0.0147051` Chr`8` : `3,147,359`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	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 X0199

log Bayes Factor = 350.038

contains 3 variants

0.3642

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3560

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2102

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1140

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9821

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9751

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9750

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9680

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9663

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9551

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9526

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9442

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9424

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9422

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9421

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9391

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9342

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9262

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9152

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9079

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8894

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8753

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8714

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8695

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8690

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8665

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8407

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8222

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8201

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8199

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8125

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8124

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8048

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8005

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7965

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7965

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7961

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7897

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7747

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7744

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7740

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7732

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7720

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7617

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7591

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7530

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7503

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7383

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7321

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7275

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7232

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7121

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6911

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6853

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6837

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6837

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6818

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6762

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6695

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6640

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6524

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6445

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6437

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6318

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6146

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6144

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6047

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5834

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5690

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5633

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5585

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5544

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5539

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5503

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5500

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5481

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5381

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5316

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5303

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5204

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5193

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5151

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5139

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5029

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4987

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4923

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4797

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4754

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4731

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4677

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4641

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4528

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4345

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4211

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4210

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4170

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4109

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3825

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3760

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3707

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3546

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3518

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3507

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3476

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3445

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3397

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3364

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3308

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3225

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3090

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3013

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2846

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2742

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2721

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2700

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2585

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2564

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2423

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2351

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2278

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2276

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2184

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2079

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1913

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1841

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1719

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1511

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1468

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1454

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1428

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1038

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0890

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0832

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0758

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0632

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0562

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`)