TreeWAS – [R64] Cachexia

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`	0.717	0.283	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.716	0.284	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.716	0.284	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.716	0.284	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.716	0.284	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.713	0.287	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.713	0.287	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.709	0.291	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.707	0.293	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.705	0.294	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.703	0.296	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.701	0.299	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.700	0.300	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.697	0.303	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.694	0.306	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.682	0.318	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.677	0.323	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.667	0.333	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.333	0.667
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.666	0.334	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.665	0.335	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.663	0.337	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.663	0.337	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.656	0.344	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.655	0.345	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.653	0.347	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.643	0.357	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.638	0.362	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.624	0.376	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.611	0.389	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.608	0.392	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.604	0.395	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.571	0.429	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.560	0.440	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.529	0.470	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.529	0.471	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.522	0.478	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.521	0.479	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.500	0.500	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.498	0.502	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.496	0.504	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.494	0.506	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.493	0.507	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.491	0.509	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.473	0.527	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.458	0.542	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.432	0.568	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.422	0.578	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.418	0.582	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.413	0.587	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.398	0.602	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.389	0.611	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.382	0.618	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.363	0.636	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.341	0.659	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.332	0.668	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.328	0.672	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.308	0.692	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.298	0.702	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.286	0.714	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.284	0.716	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.280	0.720	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.274	0.725	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.246	0.753	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.233	0.767	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.230	0.769	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.183	0.817	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.173	0.827	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.167	0.833	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.167	0.833	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.164	0.836	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.164	0.836	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.162	0.838	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.157	0.842	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.154	0.846	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.149	0.851	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.138	0.862	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.138	0.862	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.121	0.879	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.100	0.900	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.095	0.905	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.087	0.913	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.078	0.922	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.076	0.924	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.072	0.928	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.070	0.930	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.062	0.938	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.941	0.059
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.059	0.941	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.055	0.945	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.054	0.946	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.047	0.953	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.045	0.955	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.044	0.956	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.039	0.961	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.038	0.961	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.034	0.966	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.033	0.967	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.033	0.967	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.031	0.969	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.030	0.970	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.030	0.970	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.029	0.970	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.025	0.975	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.024	0.976	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.024	0.976	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.024	0.976	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.020	0.979	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.020	0.980	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.018	0.982	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.018	0.982	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.017	0.983	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.016	0.984	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.016	0.984	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.015	0.984	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.015	0.985	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.013	0.987	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.013	0.987	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.012	0.988	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.012	0.988	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.011	0.989	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.010	0.990	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.010	0.990	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.009	0.991	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.008	0.992	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.008	0.992	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.008	0.992	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.008	0.992	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.008	0.992	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.008	0.992	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.007	0.993	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.007	0.993	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.007	0.993	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.006	0.994	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.006	0.994	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.006	0.994	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.006	0.994	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.006	0.994	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.005	0.995	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.004	0.995	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.004	0.996	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.004	0.996	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.004	0.996	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.004	0.996	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.003	0.996	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.003	0.997	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.003	0.997	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.003	0.997	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.003	0.997	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.003	0.997	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.003	0.997	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.003	0.997	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.002	0.997	0.001
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs7834588 lBF = `-0.055575` Chr`8` : `63,883,593`	0.000	0.998	0.002
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.002	0.998	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.002	0.998	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.002	0.998	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.002	0.998	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.002	0.998	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.002	0.998	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.002	0.998	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.002	0.998	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.002	0.998	0.000
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	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.001	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.001	0.998	0.000
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.001	0.999	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	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
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	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
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
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.999	0.001
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
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs141721054 lBF = `0` Chr`8` : `131,201,613`	0.001	0.999	0.001
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
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001
rs147852159 lBF = `0` Chr`8` : `146,171,164`	0.001	0.999	0.001
rs189590409 lBF = `0` Chr`8` : `114,727,602`	0.001	0.999	0.001
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rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	1.000	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.000	1.000	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.000	1.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.000	1.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	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
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.000	1.000	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.000	1.000	0.000
rs7837045 lBF = `1.20142` Chr`8` : `142,540,925`	0.000	1.000	0.000
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.000	1.000	0.000
rs17394429 lBF = `0.751011` Chr`8` : `3,316,986`	0.000	1.000	0.000
rs7839059 lBF = `0.472635` Chr`8` : `119,976,542`	0.000	1.000	0.000
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.000	1.000	0.000
rs12542743 lBF = `0.281699` Chr`8` : `32,318,355`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs34975555 lBF = `0.172615` Chr`8` : `17,858,297`	0.000	1.000	0.000
rs16909318 lBF = `0.170483` Chr`8` : `82,445,224`	0.000	1.000	0.000
rs2945733 lBF = `0.110693` Chr`8` : `134,615,750`	0.000	1.000	0.000
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	1.000	0.000
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	1.000	0.000
rs7844537 lBF = `0.0409733` Chr`8` : `28,954,892`	0.000	1.000	0.000
rs1460237 lBF = `0.0194697` Chr`8` : `105,841,855`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	1.000	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs17068510 lBF = `-0.00515294` Chr`8` : `3,863,111`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	1.000	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.000	1.000	0.000
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	1.000	0.000
rs4831837 lBF = `-0.0168165` Chr`8` : `12,711,863`	0.000	1.000	0.000
rs57302454 lBF = `-0.0168427` Chr`8` : `22,938,661`	0.000	1.000	0.000
rs12216812 lBF = `-0.0208649` Chr`8` : `82,151,747`	0.000	1.000	0.000
rs17412740 lBF = `-0.0262207` Chr`8` : `20,246,758`	0.000	1.000	0.000
rs6988306 lBF = `-0.0272986` Chr`8` : `102,596,210`	0.000	1.000	0.000
rs7844919 lBF = `-0.0281267` Chr`8` : `2,226,153`	0.000	1.000	0.000
rs4875857 lBF = `-0.0289557` Chr`8` : `2,819,809`	0.000	1.000	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	1.000	0.000
rs17405819 lBF = `-0.0363693` Chr`8` : `76,806,584`	0.000	1.000	0.000
rs2705293 lBF = `-0.0399492` Chr`8` : `138,918,945`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	1.000	0.000
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.000	1.000	0.000
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.000	1.000	0.000
rs2946505 lBF = `-0.0713648` Chr`8` : `12,811,152`	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
rs4871611 lBF = `-0.0740677` Chr`8` : `126,537,570`	0.000	1.000	0.000
rs2565065 lBF = `-0.0811412` Chr`8` : `27,328,021`	0.000	1.000	0.000
rs12676170 lBF = `-0.0817959` Chr`8` : `15,197,417`	0.000	1.000	0.000
rs12548021 lBF = `-0.0827183` Chr`8` : `29,344,462`	0.000	1.000	0.000
rs7841806 lBF = `-0.0900559` Chr`8` : `140,335,814`	0.000	1.000	0.000
rs17581368 lBF = `-0.0956044` Chr`8` : `21,662,445`	0.000	1.000	0.000
rs11988906 lBF = `-0.127211` Chr`8` : `4,251,284`	0.000	1.000	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.000	1.000	0.000
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	1.000	0.000
rs9642880 lBF = `15.7288` Chr`8` : `128,718,068`	0.000	1.000	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	1.000	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.000	1.000	0.000
rs6993770 lBF = `2.81927` Chr`8` : `106,581,528`	0.000	1.000	0.000
rs11776767 lBF = `2.39336` Chr`8` : `10,683,929`	0.000	1.000	0.000
rs17673138 lBF = `1.89994` Chr`8` : `32,697,958`	0.000	1.000	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.000	1.000	0.000
rs73201717 lBF = `0.712049` Chr`8` : `16,682,746`	0.000	1.000	0.000
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.000	1.000	0.000
rs7832232 lBF = `0.38776` Chr`8` : `38,469,303`	0.000	1.000	0.000
rs6987004 lBF = `0.261503` Chr`8` : `34,524,003`	0.000	1.000	0.000
rs1996720 lBF = `0.205595` Chr`8` : `113,074,096`	0.000	1.000	0.000
rs2721173 lBF = `0.193726` Chr`8` : `145,744,429`	0.000	1.000	0.000
rs17311976 lBF = `0.14103` Chr`8` : `131,637,337`	0.000	1.000	0.000
rs1480997 lBF = `0.111189` Chr`8` : `21,484,457`	0.000	1.000	0.000
rs2575029 lBF = `0.0877916` Chr`8` : `31,174,830`	0.000	1.000	0.000
rs4410871 lBF = `0.0846442` Chr`8` : `128,815,029`	0.000	1.000	0.000
rs1912816 lBF = `0.0607353` Chr`8` : `114,873,380`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs285406 lBF = `0.0521819` Chr`8` : `87,025,013`	0.000	1.000	0.000
rs10112574 lBF = `0.0416653` Chr`8` : `67,381,268`	0.000	1.000	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs2197089 lBF = `0.0117238` Chr`8` : `19,826,373`	0.000	1.000	0.000
rs11780978 lBF = `0.0109366` Chr`8` : `145,034,852`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs1594829 lBF = `-0.00694046` Chr`8` : `26,206,077`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	1.000	0.000
rs984440 lBF = `-0.0265342` Chr`8` : `139,077,728`	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

0.7142

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0983

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0900

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9239

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9092

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8975

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8966

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8708

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8696

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8692

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8587

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8410

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8399

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8375

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.8250

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8147

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8129

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8047

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8028

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8006

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7853

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7563

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7562

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7449

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7348

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7169

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7169

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7167

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7167

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7167

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7166

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7165

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7164

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7161

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7159

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7155

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7151

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7148

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7144

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7128

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7125

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7085

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7078

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7053

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6998

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6928

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6858

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6827

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6817

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6809

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6609

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6438

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6406

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6068

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5976

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5937

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5871

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5260

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5250

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4754

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4610

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4593

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4593

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4328

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4070

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3713

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3662

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3565

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3027

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2521

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2459

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2370

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1930

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1561

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1422

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1403

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1370

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1334

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1195

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1147

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1064

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1016

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0907

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0876

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0740

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0726

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0715

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0596

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`)