TreeWAS – [R59] Enlarged lymph nodes

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
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.966	0.034	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.951	0.049	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.919	0.081	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.908	0.092	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.858	0.142	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.837	0.163	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.836	0.164	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.828	0.172	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.796	0.204	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.788	0.212	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.779	0.221	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.762	0.238	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.733	0.267	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.277	0.723
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.711	0.289	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.710	0.290	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.697	0.303	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.682	0.318	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.680	0.320	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.672	0.327	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.667	0.333	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.651	0.349	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.643	0.357	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.633	0.366	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.628	0.372	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.623	0.377	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.596	0.404	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.594	0.406	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.577	0.423	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.565	0.435	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.556	0.444	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.554	0.446	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.549	0.451	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.524	0.476	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.522	0.477	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.519	0.481	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.513	0.487	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.506	0.494	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.482	0.518	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.468	0.532	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.432	0.568	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.410	0.590	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.407	0.593	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.399	0.600	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.395	0.605	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.390	0.610	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.386	0.614	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.376	0.624	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.360	0.639	0.001
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.354	0.646	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.347	0.652	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.324	0.675	0.001
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.320	0.679	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.313	0.687	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.311	0.688	0.001
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.304	0.695	0.001
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.305	0.695	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.292	0.708	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.287	0.713	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.283	0.717	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.282	0.718	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.260	0.740	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.257	0.743	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.246	0.754	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`	0.180	0.820	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.166	0.834	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`	0.155	0.845	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.148	0.852	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.138	0.862	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.133	0.867	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.129	0.871	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.129	0.871	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.128	0.872	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.120	0.880	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.104	0.896	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.095	0.905	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.093	0.907	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.090	0.910	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.081	0.919	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.079	0.921	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.078	0.922	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.068	0.932	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.067	0.933	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.062	0.938	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.941	0.058
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.058	0.942	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.044	0.956	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.043	0.957	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.042	0.958	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.036	0.964	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.035	0.965	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.035	0.965	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.035	0.965	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.033	0.967	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.033	0.967	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.029	0.971	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.026	0.974	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.025	0.975	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.024	0.976	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.023	0.977	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.023	0.977	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.022	0.978	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.021	0.979	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.020	0.980	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.019	0.981	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.017	0.983	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.017	0.983	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
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.014	0.986	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.014	0.986	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.014	0.986	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.012	0.988	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.012	0.988	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.012	0.988	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.012	0.988	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	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
rs11781622 lBF = `-0.0749637` Chr`8` : `24,378,741`	0.000	0.991	0.009
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.008	0.992	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.008	0.992	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.007	0.993	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.007	0.993	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.007	0.993	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.007	0.993	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.007	0.993	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	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
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.006	0.994	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.006	0.994	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.006	0.994	0.000
rs6468544 lBF = `0.0553341` Chr`8` : `98,329,765`	0.006	0.994	0.000
rs10101158 lBF = `-0.123915` Chr`8` : `142,881,966`	0.000	0.995	0.005
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.004	0.996	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.004	0.996	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.004	0.996	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.004	0.996	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.004	0.996	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.004	0.996	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.004	0.996	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.004	0.996	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.003	0.997	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	0.997	0.003
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.003	0.997	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.002	0.997	0.001
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.003	0.997	0.000
rs7834588 lBF = `-0.055575` Chr`8` : `63,883,593`	0.000	0.997	0.003
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.003	0.997	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.003	0.997	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.003	0.997	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.003	0.997	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.002	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.997	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.002	0.997	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.002	0.997	0.000
rs6989684 lBF = `-0.00918676` Chr`8` : `120,143,039`	0.002	0.998	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.002	0.998	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.002	0.998	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.002	0.998	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	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
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.000	0.998	0.002
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.002	0.998	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.002	0.998	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.002	0.998	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.002	0.998	0.000
rs12542743 lBF = `0.281699` Chr`8` : `32,318,355`	0.002	0.998	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	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`	0.002	0.998	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.002	0.998	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.002	0.998	0.000
rs7004520 lBF = `-0.05444` Chr`8` : `31,327,049`	0.002	0.998	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.002	0.998	0.000
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.002	0.998	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.002	0.998	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.002	0.998	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.000	0.998	0.002
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.001	0.999	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
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.000	0.999	0.001
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.001	0.999	0.000
rs10097669 lBF = `0.53036` Chr`8` : `4,437,465`	0.001	0.999	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.001	0.999	0.000
rs6651252 lBF = `1.51073` Chr`8` : `129,567,181`	0.000	0.999	0.001
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.001	0.999	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.001	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.001	0.999	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.001	0.999	0.000
rs10110287 lBF = `-0.00831101` Chr`8` : `21,487,130`	0.000	0.999	0.001
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rs7814403 lBF = `0.775744` Chr`8` : `36,459,454`	0.000	1.000	0.000
rs2116078 lBF = `0.0847208` Chr`8` : `73,363,989`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs2840445 lBF = `-0.050982` Chr`8` : `5,764,942`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.000	1.000	0.000
rs77210013 lBF = `9.66331` Chr`8` : `101,022,381`	0.000	1.000	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	1.000	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	1.000	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	1.000	0.000
rs7015657 lBF = `0.95006` Chr`8` : `20,967,551`	0.000	1.000	0.000
rs11784833 lBF = `0.180839` Chr`8` : `145,063,412`	0.000	1.000	0.000
rs2648875 lBF = `0.0245957` Chr`8` : `129,072,161`	0.000	1.000	0.000
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs11994937 lBF = `-0.0126183` Chr`8` : `59,508,580`	0.000	1.000	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.000	1.000	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	1.000	0.000
rs76115211 lBF = `-0.0328686` Chr`8` : `66,134,454`	0.000	1.000	0.000
rs7008026 lBF = `-0.0355462` Chr`8` : `70,950,280`	0.000	1.000	0.000
rs4281086 lBF = `-0.0825628` Chr`8` : `10,352,308`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.000	1.000	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.000	1.000	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.000	1.000	0.000
rs6472866 lBF = `0.248813` Chr`8` : `75,513,134`	0.000	1.000	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.000	1.000	0.000
rs3115775 lBF = `0.0195883` Chr`8` : `118,707,726`	0.000	1.000	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.000	1.000	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	1.000	0.000
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.000	1.000	0.000
rs1504749 lBF = `-0.055441` Chr`8` : `55,310,711`	0.000	1.000	0.000
rs956225 lBF = `-0.0659505` Chr`8` : `122,909,687`	0.000	1.000	0.000
rs3923388 lBF = `-0.0711683` Chr`8` : `144,986,678`	0.000	1.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.000	1.000	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.000	1.000	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	1.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.000	1.000	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.000	1.000	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.000	1.000	0.000
rs2683295 lBF = `0.469924` Chr`8` : `19,077,830`	0.000	1.000	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.000	1.000	0.000
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	1.000	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	1.000	0.000
rs2046315 lBF = `0.00340521` Chr`8` : `90,211,100`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.000	1.000	0.000
rs2407103 lBF = `-0.00622844` Chr`8` : `36,951,914`	0.000	1.000	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	1.000	0.000
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	1.000	0.000
rs13328379 lBF = `-0.0113726` Chr`8` : `20,634,750`	0.000	1.000	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	1.000	0.000
rs2270875 lBF = `-0.0147127` Chr`8` : `132,999,936`	0.000	1.000	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	1.000	0.000
rs10097215 lBF = `-0.0245582` Chr`8` : `2,506,899`	0.000	1.000	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.000	1.000	0.000
rs7013415 lBF = `-0.0431174` Chr`8` : `73,038,451`	0.000	1.000	0.000
rs2290416 lBF = `-0.0455999` Chr`8` : `144,657,600`	0.000	1.000	0.000
rs4737009 lBF = `-0.0512034` Chr`8` : `41,630,405`	0.000	1.000	0.000
rs2584363 lBF = `-0.0514426` Chr`8` : `108,158,383`	0.000	1.000	0.000
rs2741335 lBF = `-0.0522161` Chr`8` : `27,337,791`	0.000	1.000	0.000
rs6984820 lBF = `-0.0537633` Chr`8` : `144,993,324`	0.000	1.000	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.000	1.000	0.000
rs7818948 lBF = `21.8594` Chr`8` : `101,062,888`	0.000	1.000	0.000
rs7006527 lBF = `21.6364` Chr`8` : `101,024,505`	0.000	1.000	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.000	1.000	0.000
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	1.000	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	1.000	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	1.000	0.000
rs17394429 lBF = `0.751011` Chr`8` : `3,316,986`	0.000	1.000	0.000
rs7845219 lBF = `0.375637` Chr`8` : `95,937,502`	0.000	1.000	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	1.000	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	1.000	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	1.000	0.000
rs7844537 lBF = `0.0409733` Chr`8` : `28,954,892`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	0.000	1.000	0.000
rs36061340 lBF = `0.0265434` Chr`8` : `101,807,230`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.000	1.000	0.000
rs16936870 lBF = `0.00222212` Chr`8` : `71,189,342`	0.000	1.000	0.000
rs7822239 lBF = `-0.00253758` Chr`8` : `133,119,961`	0.000	1.000	0.000
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs4739466 lBF = `-0.0174722` Chr`8` : `36,941,542`	0.000	1.000	0.000
rs5029317 lBF = `-0.0208752` Chr`8` : `129,126,853`	0.000	1.000	0.000
rs2218488 lBF = `-0.0211408` Chr`8` : `72,263,956`	0.000	1.000	0.000
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.000	1.000	0.000
rs10875423 lBF = `-0.0410514` Chr`8` : `139,301,378`	0.000	1.000	0.000
rs7155 lBF = `-0.051823` Chr`8` : `144,989,462`	0.000	1.000	0.000
rs1349547 lBF = `-0.0562944` Chr`8` : `39,548,378`	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

0.5931

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1399

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0955

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9978

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9964

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9961

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9956

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9955

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9907

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9902

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9841

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9822

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9807

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9798

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9733

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9605

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9399

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9220

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9133

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9047

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8866

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8842

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8376

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8348

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8025

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7994

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7948

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7770

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7665

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7419

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7018

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6910

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6684

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6437

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5959

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5884

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5546

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5438

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5256

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5059

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4811

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4742

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4682

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4247

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4051

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3833

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3832

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3831

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3720

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3662

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3643

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3482

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3292

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3078

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2978

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2868

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2850

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2800

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2692

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2515

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2448

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2242

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2193

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2181

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2121

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2074

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2069

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2046

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1956

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1873

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1818

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1766

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1743

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1605

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1554

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1520

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1515

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1451

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1424

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1406

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1317

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1241

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1178

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1176

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0943

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0920

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0891

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0851

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0849

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0810

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0802

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0765

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0700

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0595

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0587

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0582

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0546

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0542

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0533

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	R59.0 Localised enlarged lymph nodes R59.1 Generalised enlarged lymph nodes R59.9 Enlarged lymph nodes, unspecified

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`)