TreeWAS – [R06.6] Hiccough

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
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.797	0.203	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.693	0.307	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.669	0.331	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.669	0.331	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.647	0.353	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.640	0.360	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.639	0.361	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.638	0.362	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.634	0.366	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.617	0.383	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.592	0.407	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.583	0.417	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.553	0.447	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.545	0.455	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.518	0.482	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.504	0.496	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.502	0.498	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.494	0.506	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.493	0.507	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.474	0.526	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.468	0.531	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.464	0.536	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.451	0.549	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.448	0.552	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.447	0.553	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.433	0.567	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.431	0.569	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.431	0.569	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.395	0.605	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.392	0.608	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.388	0.612	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.384	0.615	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.362	0.638	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.350	0.649	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.349	0.651	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.342	0.658	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.328	0.672	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.322	0.678	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.687	0.312
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.280	0.720	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.275	0.725	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.274	0.726	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.265	0.735	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.265	0.735	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.235	0.765	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.225	0.775	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.205	0.795	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.205	0.795	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.199	0.800	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.195	0.805	0.001
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.195	0.805	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.189	0.811	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.179	0.821	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.174	0.826	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.172	0.828	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.169	0.831	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.164	0.836	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.155	0.845	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.154	0.845	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.147	0.853	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.146	0.853	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.126	0.874	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.124	0.876	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.120	0.879	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.117	0.883	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.116	0.884	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.113	0.887	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.111	0.889	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.109	0.891	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.104	0.896	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.099	0.900	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.098	0.902	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.087	0.913	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.085	0.915	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.084	0.916	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.075	0.925	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.069	0.931	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.066	0.933	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.066	0.934	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.062	0.938	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.060	0.940	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.943	0.057
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.056	0.944	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.056	0.944	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.054	0.946	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.053	0.946	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.052	0.947	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.046	0.954	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.044	0.955	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.039	0.961	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.038	0.961	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.037	0.963	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.036	0.963	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.036	0.964	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.032	0.967	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.032	0.968	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.032	0.968	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.030	0.970	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.029	0.970	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.029	0.970	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.029	0.971	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.029	0.971	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.028	0.972	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.027	0.973	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.025	0.975	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.024	0.976	0.000
rs11785622 lBF = `-0.0648869` Chr`8` : `99,317,739`	0.000	0.976	0.024
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.024	0.976	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.020	0.980	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.020	0.980	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.018	0.981	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.018	0.982	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.016	0.984	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	0.985	0.015
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.014	0.985	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.013	0.986	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.013	0.987	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.012	0.988	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.988	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.011	0.989	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.011	0.989	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.010	0.990	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.010	0.990	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.007	0.992	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.007	0.993	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.007	0.993	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.007	0.993	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.006	0.994	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.006	0.994	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.006	0.994	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.006	0.994	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.005	0.995	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.004	0.995	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.004	0.996	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.004	0.996	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.003	0.997	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.003	0.997	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.003	0.997	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.003	0.997	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.997	0.003
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.003	0.997	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.003	0.997	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.003	0.997	0.000
rs4625043 lBF = `0.912167` Chr`8` : `24,533,193`	0.003	0.997	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.003	0.997	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.003	0.997	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.002	0.998	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.002	0.998	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.002	0.998	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.002	0.998	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.002	0.998	0.000
rs11778693 lBF = `0.0184763` Chr`8` : `22,462,852`	0.002	0.998	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.000	0.998	0.002
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs13263959 lBF = `0.166306` Chr`8` : `142,632,315`	0.000	0.998	0.002
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.002	0.998	0.000
rs1446682 lBF = `-0.0866074` Chr`8` : `27,076,598`	0.000	0.998	0.002
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.002	0.998	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.002	0.998	0.000
rs4242434 lBF = `0.0831786` Chr`8` : `22,501,830`	0.002	0.998	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.002	0.998	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.001	0.998	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.001	0.998	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.001	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.001	0.998	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	0.998	0.001
rs9886428 lBF = `-0.114257` Chr`8` : `14,113,816`	0.000	0.998	0.001
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.999	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.999	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.001	0.999	0.001
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.999	0.001
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.001	0.999	0.000
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.000	0.999	0.001
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.000	0.999	0.001
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.001	0.999	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.001	0.999	0.000
rs10504543 lBF = `-0.105699` Chr`8` : `73,778,642`	0.000	0.999	0.001
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.001	0.999	0.000
rs2468677 lBF = `0.115259` Chr`8` : `140,519,517`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	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
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	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
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rs11777747 lBF = `0.144313` Chr`8` : `142,466,821`	0.000	1.000	0.000
rs10505648 lBF = `0.117186` Chr`8` : `137,156,450`	0.000	1.000	0.000
rs1532423 lBF = `0.0695994` Chr`8` : `86,268,313`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs16902328 lBF = `0.0227453` Chr`8` : `128,713,873`	0.000	1.000	0.000
rs1671400 lBF = `-0.00901045` Chr`8` : `13,176,407`	0.000	1.000	0.000
rs2270875 lBF = `-0.0147127` Chr`8` : `132,999,936`	0.000	1.000	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.000	1.000	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.000	1.000	0.000
rs408506 lBF = `7.71018` Chr`8` : `109,154,233`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	1.000	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.000	1.000	0.000
rs201466262 lBF = `-0.00045314` Chr`8` : `52,407,936`	0.000	1.000	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	1.000	0.000
rs7003550 lBF = `-0.0225117` Chr`8` : `135,850,898`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs9297216 lBF = `-0.0266697` Chr`8` : `34,045,261`	0.000	1.000	0.000
rs12680655 lBF = `-0.0634072` Chr`8` : `135,637,337`	0.000	1.000	0.000
rs4243849 lBF = `-0.0656984` Chr`8` : `136,713,137`	0.000	1.000	0.000
rs956225 lBF = `-0.0659505` Chr`8` : `122,909,687`	0.000	1.000	0.000
rs62531686 lBF = `-0.0768538` Chr`8` : `138,909,719`	0.000	1.000	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.000	1.000	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.000	1.000	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	1.000	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	1.000	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.000	1.000	0.000
rs1045529 lBF = `1.37424` Chr`8` : `8,890,098`	0.000	1.000	0.000
rs17766217 lBF = `0.572149` Chr`8` : `128,504,497`	0.000	1.000	0.000
rs7825175 lBF = `0.161327` Chr`8` : `32,416,274`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs58605417 lBF = `0.0597869` Chr`8` : `89,294,322`	0.000	1.000	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs10958409 lBF = `-0.00235757` Chr`8` : `55,327,091`	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
rs2721937 lBF = `-0.0210665` Chr`8` : `116,633,699`	0.000	1.000	0.000
rs11989843 lBF = `-0.0413911` Chr`8` : `118,150,993`	0.000	1.000	0.000
rs9650199 lBF = `-0.0671861` Chr`8` : `61,346,197`	0.000	1.000	0.000
rs2271920 lBF = `-0.0756172` Chr`8` : `27,316,117`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.000	1.000	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	1.000	0.000
rs1962073 lBF = `1.72707` Chr`8` : `10,260,553`	0.000	1.000	0.000
rs4427170 lBF = `0.403292` Chr`8` : `14,853,781`	0.000	1.000	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.000	1.000	0.000
rs12549902 lBF = `0.251383` Chr`8` : `41,509,259`	0.000	1.000	0.000
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.000	1.000	0.000
rs10958476 lBF = `0.00838987` Chr`8` : `57,095,808`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	1.000	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	0.000	1.000	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	1.000	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.000	1.000	0.000
rs2844036 lBF = `-0.0370529` Chr`8` : `101,514,577`	0.000	1.000	0.000
rs7002619 lBF = `-0.0428105` Chr`8` : `16,065,557`	0.000	1.000	0.000
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.000	1.000	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	1.000	0.000
rs2946505 lBF = `-0.0713648` Chr`8` : `12,811,152`	0.000	1.000	0.000
rs6557600 lBF = `-0.0758497` Chr`8` : `22,763,248`	0.000	1.000	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.000	1.000	0.000
rs9644568 lBF = `5.96243` Chr`8` : `19,928,582`	0.000	1.000	0.000
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.000	1.000	0.000
rs17120471 lBF = `0.335225` Chr`8` : `12,691,871`	0.000	1.000	0.000
rs678347 lBF = `0.117746` Chr`8` : `102,463,602`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	1.000	0.000
rs76070545 lBF = `-0.010697` Chr`8` : `104,371,447`	0.000	1.000	0.000
rs6558295 lBF = `-0.0338702` Chr`8` : `145,139,522`	0.000	1.000	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.000	1.000	0.000
rs17742757 lBF = `-0.063568` Chr`8` : `11,330,341`	0.000	1.000	0.000
rs10957961 lBF = `-0.0732207` Chr`8` : `81,031,822`	0.000	1.000	0.000
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	1.000	0.000
rs34080186 lBF = `-0.0881148` Chr`8` : `110,070,486`	0.000	1.000	0.000
rs1532278 lBF = `-0.0888109` Chr`8` : `27,466,315`	0.000	1.000	0.000
rs2941484 lBF = `-0.13492` Chr`8` : `76,478,768`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.000	1.000	0.000
rs631031 lBF = `7.78806` Chr`8` : `109,190,032`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs1051920 lBF = `5.52554` Chr`8` : `81,438,420`	0.000	1.000	0.000
rs12682352 lBF = `3.18044` Chr`8` : `8,646,246`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3440

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9972

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9730

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9452

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9231

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9184

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9173

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8966

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8956

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8862

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8794

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8760

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8736

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8714

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8602

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8511

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8456

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8436

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8202

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8159

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8025

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7827

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7773

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7739

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7565

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7548

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7458

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7423

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7168

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7158

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7112

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7082

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6807

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6781

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6627

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6454

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6194

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6074

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5851

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5695

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5376

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5151

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5135

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5068

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5038

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5038

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4417

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4387

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4330

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4045

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3422

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3318

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2884

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2826

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2636

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2510

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2420

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2236

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2229

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2197

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2193

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1908

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1805

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1805

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1778

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1703

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1655

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1612

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1574

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1361

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1296

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1144

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1141

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1029

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0945

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0819

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0792

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0740

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0738

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0722

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0597

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0507

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`)