TreeWAS – [R63] Symptoms and signs concerning food and fluid intake

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
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.995	0.005	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.984	0.016	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.975	0.025	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.954	0.046	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.928	0.072	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.925	0.075	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.924	0.076	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.915	0.085	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.883	0.117	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.867	0.133	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.863	0.137	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.857	0.143	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.855	0.145	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.828	0.172	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.813	0.187	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.810	0.190	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.809	0.191	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.786	0.214	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.779	0.221	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.773	0.227	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.735	0.265	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.717	0.283	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.707	0.293	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.677	0.323	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.654	0.346	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.641	0.359	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.371	0.629
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.628	0.372	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.591	0.409	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.566	0.434	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.558	0.442	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.545	0.455	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.543	0.457	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.505	0.494	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.486	0.514	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.482	0.518	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.475	0.525	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.471	0.528	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.464	0.536	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.463	0.537	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.451	0.549	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.431	0.569	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.423	0.576	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.405	0.595	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.399	0.601	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.385	0.615	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.383	0.617	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.381	0.618	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.376	0.624	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.376	0.624	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.368	0.632	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.344	0.656	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.324	0.675	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.315	0.685	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.299	0.701	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.297	0.703	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.294	0.706	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.269	0.731	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.253	0.747	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.234	0.766	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.231	0.768	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.222	0.778	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.218	0.782	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.205	0.795	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.204	0.796	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.185	0.815	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.180	0.820	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.172	0.828	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.168	0.832	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.160	0.840	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.157	0.842	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.157	0.843	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.152	0.848	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.152	0.848	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.119	0.881	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.113	0.887	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.111	0.889	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.110	0.890	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.099	0.901	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.081	0.919	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.080	0.920	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.079	0.921	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.077	0.923	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.074	0.926	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.066	0.933	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.063	0.937	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.942	0.057
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.052	0.948	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.050	0.950	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.045	0.955	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.044	0.956	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.042	0.958	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.042	0.958	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.041	0.959	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.033	0.967	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.033	0.967	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.030	0.970	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.027	0.973	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.026	0.974	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.024	0.976	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.023	0.977	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.022	0.978	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.021	0.979	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.021	0.979	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.020	0.980	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.019	0.981	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.019	0.981	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.019	0.981	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.017	0.983	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.016	0.983	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.015	0.984	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.013	0.987	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.013	0.987	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.013	0.987	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.012	0.988	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.012	0.988	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.009	0.991	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.008	0.992	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.008	0.992	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.008	0.992	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.007	0.992	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.007	0.992	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.007	0.992	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.007	0.993	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.007	0.993	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.007	0.993	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.006	0.993	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.006	0.994	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.006	0.994	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.006	0.994	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.006	0.994	0.001
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.006	0.994	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.006	0.994	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.005	0.994	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.006	0.994	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.005	0.995	0.000
rs310558 lBF = `-0.0142371` Chr`8` : `51,412,591`	0.000	0.995	0.005
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.004	0.996	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.004	0.996	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.004	0.996	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.003	0.997	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.003	0.997	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.003	0.997	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.003	0.997	0.000
rs11136645 lBF = `0.193906` Chr`8` : `3,498,171`	0.000	0.997	0.003
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.002	0.997	0.001
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.003	0.997	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	0.997	0.003
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs7844537 lBF = `0.0409733` Chr`8` : `28,954,892`	0.000	0.998	0.002
rs13267838 lBF = `0.00191318` Chr`8` : `25,196,710`	0.000	0.998	0.002
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.002	0.998	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.002	0.998	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.002	0.998	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.002	0.998	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.002	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.002	0.998	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.002	0.998	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.002	0.998	0.000
rs17217757 lBF = `-0.0403255` Chr`8` : `106,613,321`	0.000	0.998	0.002
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.002	0.998	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.000	0.998	0.002
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.001	0.998	0.001
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.002	0.998	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.002	0.998	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	0.998	0.002
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
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.001	0.998	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.001	0.999	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	0.999	0.001
rs36056951 lBF = `-0.0362417` Chr`8` : `139,965,798`	0.000	0.999	0.001
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.001	0.999	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.001	0.999	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.001	0.999	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.001	0.999	0.000
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs7834588 lBF = `-0.055575` Chr`8` : `63,883,593`	0.000	0.999	0.001
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.999	0.001
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs17301329 lBF = `-0.0705506` Chr`8` : `54,858,981`	0.001	0.999	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.001	0.999	0.000
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.000	0.999	0.001
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
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rs980238 lBF = `-0.0774097` Chr`8` : `4,282,618`	0.000	1.000	0.000
rs34080186 lBF = `-0.0881148` Chr`8` : `110,070,486`	0.000	1.000	0.000
rs7839488 lBF = `-0.0970719` Chr`8` : `121,562,418`	0.000	1.000	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.000	1.000	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.000	1.000	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	1.000	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	1.000	0.000
rs16935518 lBF = `5.2746` Chr`8` : `70,006,868`	0.000	1.000	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs2936519 lBF = `0.0602152` Chr`8` : `6,639,240`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	1.000	0.000
rs6993270 lBF = `-0.0124426` Chr`8` : `120,941,716`	0.000	1.000	0.000
rs2844036 lBF = `-0.0370529` Chr`8` : `101,514,577`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	1.000	0.000
rs3824247 lBF = `7.70157` Chr`8` : `124,721,949`	0.000	1.000	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	1.000	0.000
rs13273123 lBF = `0.016672` Chr`8` : `57,100,791`	0.000	1.000	0.000
rs4590408 lBF = `0.0164474` Chr`8` : `96,106,037`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs1065837 lBF = `-0.0132925` Chr`8` : `144,990,335`	0.000	1.000	0.000
rs2400362 lBF = `-0.0160361` Chr`8` : `81,849,306`	0.000	1.000	0.000
rs4875857 lBF = `-0.0289557` Chr`8` : `2,819,809`	0.000	1.000	0.000
rs55828312 lBF = `-0.0437374` Chr`8` : `42,589,602`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs6559140 lBF = `-0.0639266` Chr`8` : `6,152,919`	0.000	1.000	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.000	1.000	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	1.000	0.000
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.000	1.000	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	1.000	0.000
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.000	1.000	0.000
rs3923388 lBF = `-0.0711683` Chr`8` : `144,986,678`	0.000	1.000	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.000	1.000	0.000
rs4242382 lBF = `18.3507` Chr`8` : `128,517,573`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.000	1.000	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	1.000	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.000	1.000	0.000
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	1.000	0.000
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	1.000	0.000
rs4733271 lBF = `0.712801` Chr`8` : `31,567,006`	0.000	1.000	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.000	1.000	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs7833986 lBF = `0.0179907` Chr`8` : `57,100,149`	0.000	1.000	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs7007970 lBF = `-0.0250041` Chr`8` : `120,647,929`	0.000	1.000	0.000
rs1027730 lBF = `-0.0319836` Chr`8` : `94,085,539`	0.000	1.000	0.000
rs2221894 lBF = `-0.0862574` Chr`8` : `28,791,159`	0.000	1.000	0.000
rs2046180 lBF = `-0.0951139` Chr`8` : `74,685,404`	0.000	1.000	0.000
rs7814749 lBF = `-0.102908` Chr`8` : `87,721,349`	0.000	1.000	0.000
rs10448044 lBF = `-0.110054` Chr`8` : `80,103,432`	0.000	1.000	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	1.000	0.000
rs10505477 lBF = `58.5637` Chr`8` : `128,407,443`	0.000	1.000	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	1.000	0.000
rs526533 lBF = `8.02143` Chr`8` : `102,891,233`	0.000	1.000	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.000	1.000	0.000
rs7000782 lBF = `2.68223` Chr`8` : `81,308,150`	0.000	1.000	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.000	1.000	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.000	1.000	0.000
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.000	1.000	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.000	1.000	0.000
rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.000	1.000	0.000
rs4732812 lBF = `0.155874` Chr`8` : `27,923,388`	0.000	1.000	0.000
rs79323383 lBF = `0.0813721` Chr`8` : `121,851,425`	0.000	1.000	0.000
rs3739262 lBF = `0.0702267` Chr`8` : `134,205,713`	0.000	1.000	0.000
rs17362923 lBF = `0.0307391` Chr`8` : `5,546,824`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	1.000	0.000
rs17128007 lBF = `-0.00360267` Chr`8` : `19,083,152`	0.000	1.000	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs977396 lBF = `-0.0388677` Chr`8` : `105,992,696`	0.000	1.000	0.000
rs4500123 lBF = `-0.0406507` Chr`8` : `92,970,153`	0.000	1.000	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	1.000	0.000
rs10092658 lBF = `-0.0463732` Chr`8` : `130,980,472`	0.000	1.000	0.000
rs6474412 lBF = `-0.0471785` Chr`8` : `42,550,498`	0.000	1.000	0.000
rs2736871 lBF = `-0.0663409` Chr`8` : `134,475,077`	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

0.5189

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0806

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0543

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

1.0000

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

1.0000

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9999

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9996

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9984

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9973

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9967

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9962

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9932

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9923

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9922

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9908

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9878

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9851

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9815

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9806

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9735

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9692

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9660

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9635

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9597

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9585

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9554

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9549

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9468

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9374

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9325

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9300

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9212

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9189

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8981

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8919

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8786

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8733

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8704

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8451

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8432

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8361

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8247

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8176

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8168

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7851

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7710

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7506

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7163

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7035

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6994

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6870

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6834

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6817

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6596

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6511

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6258

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6194

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5979

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5907

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5792

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5789

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5763

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5705

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5521

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5442

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5375

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5300

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5042

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4881

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4710

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4597

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4519

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4411

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4402

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4390

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4340

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4290

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4170

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4103

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4099

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4067

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3973

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3838

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3820

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3760

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3579

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3323

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2713

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2701

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2477

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2446

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1804

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1792

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1700

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1666

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1634

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1599

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1272

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1177

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1125

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1097

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1094

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1065

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0997

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0685

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0680

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0639

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0586

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0572

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0510

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	R50-R69 General symptoms and signs
Nested terms	R63.0 Anorexia R63.1 Polydipsia R63.2 Polyphagia R63.3 Feeding difficulties and mismanagement R63.4 Abnormal weight loss R63.5 Abnormal weight gain R63.6 Insufficient intake of food and water due to self neglect R63.8 Other symptoms and signs concerning food and fluid intake

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`)