TreeWAS – [K11.0] Atrophy of salivary gland

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
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.621	0.379	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.572	0.428	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.569	0.431	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.551	0.448	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.550	0.450	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.539	0.461	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.524	0.476	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.520	0.480	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.516	0.484	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.501	0.499	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.498	0.502	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.489	0.511	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.485	0.515	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.482	0.517	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.477	0.523	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.476	0.524	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.472	0.528	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.460	0.540	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.454	0.546	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.452	0.548	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.449	0.551	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.447	0.552	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.445	0.555	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.414	0.586	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.411	0.589	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.410	0.590	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.409	0.591	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.407	0.593	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.393	0.607	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.379	0.621	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.374	0.625	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.368	0.632	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.365	0.635	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.364	0.635	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.362	0.638	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.361	0.639	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.357	0.642	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.356	0.644	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.355	0.644	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.644	0.355
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.353	0.647	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.352	0.648	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.349	0.651	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.346	0.653	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.344	0.656	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.341	0.659	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.334	0.666	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.331	0.669	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.330	0.670	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.329	0.671	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.324	0.676	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.323	0.677	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.315	0.685	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.312	0.688	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.307	0.693	0.000
rs987525 lBF = `0.731115` Chr`8` : `129,946,154`	0.303	0.696	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.296	0.704	0.001
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.295	0.705	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.292	0.708	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.289	0.711	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.284	0.716	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.283	0.717	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.281	0.719	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.276	0.724	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.269	0.731	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.266	0.733	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.261	0.739	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.254	0.746	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.251	0.748	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.248	0.752	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.247	0.753	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.246	0.754	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.244	0.756	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.242	0.758	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.239	0.761	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.233	0.767	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.223	0.776	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.200	0.800	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.198	0.802	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.197	0.803	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.184	0.816	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.183	0.816	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.183	0.817	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.161	0.839	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.160	0.839	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.160	0.840	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.158	0.842	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.157	0.843	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.155	0.845	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.149	0.851	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.138	0.862	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.137	0.862	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.137	0.863	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.133	0.867	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.133	0.867	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.132	0.867	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.131	0.869	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.129	0.870	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.117	0.883	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.116	0.884	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.106	0.894	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.104	0.896	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.099	0.901	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.095	0.905	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.910	0.090
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.910	0.090
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.088	0.912	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.080	0.919	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.080	0.920	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.072	0.928	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.069	0.931	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.067	0.933	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.060	0.940	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.942	0.058
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.057	0.943	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.056	0.944	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.952	0.048
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.047	0.953	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.046	0.954	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.044	0.955	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.040	0.960	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.039	0.961	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.039	0.961	0.000
rs1963982 lBF = `-0.0393427` Chr`8` : `73,106,916`	0.038	0.961	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.036	0.963	0.000
rs12541758 lBF = `-0.044173` Chr`8` : `73,142,382`	0.036	0.964	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.033	0.967	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.032	0.968	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.031	0.969	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.030	0.970	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.029	0.971	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.028	0.972	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.026	0.974	0.000
rs7839040 lBF = `-0.0839796` Chr`8` : `82,894,306`	0.000	0.974	0.026
rs1521365 lBF = `0.30273` Chr`8` : `16,716,348`	0.025	0.975	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.024	0.976	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.022	0.978	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.022	0.978	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.022	0.978	0.000
rs10156309 lBF = `0.136625` Chr`8` : `63,432,792`	0.000	0.978	0.021
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.020	0.979	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.020	0.980	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.019	0.981	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.017	0.981	0.002
rs10113213 lBF = `-0.0835412` Chr`8` : `82,888,608`	0.000	0.982	0.018
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.018	0.982	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.018	0.982	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.017	0.983	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.015	0.985	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.013	0.986	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.013	0.987	0.000
rs2466024 lBF = `0.925885` Chr`8` : `128,188,019`	0.012	0.987	0.001
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.012	0.987	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.012	0.987	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.012	0.988	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.012	0.988	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.012	0.988	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.011	0.989	0.000
rs1517114 lBF = `-0.11314` Chr`8` : `69,389,217`	0.011	0.989	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.011	0.989	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.011	0.989	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.009	0.990	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.009	0.991	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.991	0.009
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.008	0.991	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.008	0.992	0.000
rs147410223 lBF = `-0.0317068` Chr`8` : `23,507,379`	0.000	0.992	0.008
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.008	0.992	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.993	0.007
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.007	0.993	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.006	0.993	0.000
rs11987678 lBF = `-0.0283536` Chr`8` : `81,228,826`	0.006	0.993	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.006	0.993	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.006	0.994	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.006	0.994	0.000
rs17739794 lBF = `-0.0209347` Chr`8` : `812,946`	0.006	0.994	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.005	0.994	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.005	0.994	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.000	0.995	0.005
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.005	0.995	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.005	0.995	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.996	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.004	0.996	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.004	0.996	0.000
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	0.996	0.004
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.004	0.996	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.003	0.996	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.003	0.996	0.000
rs2721937 lBF = `-0.0210665` Chr`8` : `116,633,699`	0.000	0.996	0.004
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.003	0.997	0.001
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.003	0.997	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.003	0.997	0.000
rs10504390 lBF = `-0.0129628` Chr`8` : `66,624,232`	0.003	0.997	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.003	0.997	0.000
rs1693575 lBF = `-0.087782` Chr`8` : `101,682,777`	0.003	0.997	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.997	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.003	0.997	0.000
rs2122469 lBF = `0.150923` Chr`8` : `20,626,321`	0.003	0.997	0.000
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rs960089 lBF = `-0.0279175` Chr`8` : `59,708,309`	0.001	0.999	0.000
rs9918807 lBF = `-0.0613929` Chr`8` : `130,676,639`	0.001	0.999	0.000
rs10435719 lBF = `2.63268` Chr`8` : `11,776,904`	0.001	0.999	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	0.999	0.000
rs11989843 lBF = `-0.0413911` Chr`8` : `118,150,993`	0.000	0.999	0.001
rs13278849 lBF = `-0.0547562` Chr`8` : `26,714,874`	0.000	0.999	0.001
rs2882926 lBF = `-0.0585463` Chr`8` : `63,621,569`	0.001	0.999	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.001	0.999	0.000
rs10113215 lBF = `-0.0808529` Chr`8` : `60,132,194`	0.000	0.999	0.001
rs7823467 lBF = `-0.0945008` Chr`8` : `60,078,734`	0.000	0.999	0.001
rs10503733 lBF = `0.94679` Chr`8` : `23,534,018`	0.000	0.999	0.000
rs12549902 lBF = `0.251383` Chr`8` : `41,509,259`	0.000	0.999	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.000	0.999	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	0.999	0.000
rs10956483 lBF = `0.0260254` Chr`8` : `130,572,110`	0.000	0.999	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.000	0.999	0.001
rs2347503 lBF = `0.00629633` Chr`8` : `32,232,827`	0.000	0.999	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	0.999	0.000
rs2163950 lBF = `-0.0149918` Chr`8` : `130,597,585`	0.000	0.999	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.000	0.999	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.000	0.999	0.000
rs1016343 lBF = `7.41028` Chr`8` : `128,093,297`	0.000	0.999	0.000
rs2294013 lBF = `6.58919` Chr`8` : `124,710,729`	0.001	0.999	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.000	0.999	0.000
rs17262815 lBF = `0.0121145` Chr`8` : `130,491,165`	0.000	0.999	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	0.999	0.000
rs13277237 lBF = `-0.0240429` Chr`8` : `130,604,563`	0.000	0.999	0.000
rs17373728 lBF = `-0.0670443` Chr`8` : `76,225,516`	0.000	0.999	0.000
rs9331896 lBF = `-0.0684502` Chr`8` : `27,467,686`	0.000	0.999	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	0.999	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	0.999	0.000
rs73225862 lBF = `6.53187` Chr`8` : `22,050,584`	0.000	0.999	0.000
rs17359493 lBF = `0.171782` Chr`8` : `95,856,911`	0.000	0.999	0.000
rs11166827 lBF = `0.159375` Chr`8` : `139,504,270`	0.000	0.999	0.000
rs289585 lBF = `-0.0210214` Chr`8` : `13,260,536`	0.000	0.999	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.000	0.999	0.000
rs58605417 lBF = `0.0597869` Chr`8` : `89,294,322`	0.000	0.999	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	0.999	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	0.999	0.000
rs4876199 lBF = `0.0206282` Chr`8` : `2,176,910`	0.000	0.999	0.000
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.000	0.999	0.000
rs7463166 lBF = `-0.0381616` Chr`8` : `4,833,790`	0.000	0.999	0.000
rs4129585 lBF = `-0.0781628` Chr`8` : `143,312,933`	0.000	0.999	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	0.999	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.000	0.999	0.000
rs12679857 lBF = `1.94203` Chr`8` : `119,977,337`	0.000	0.999	0.000
rs16894459 lBF = `0.0605727` Chr`8` : `97,327,679`	0.000	0.999	0.000
rs72690918 lBF = `0.0524848` Chr`8` : `143,753,696`	0.000	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	0.999	0.000
rs74804370 lBF = `0.0141725` Chr`8` : `33,998,571`	0.000	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	0.999	0.000
rs1991866 lBF = `-0.0639021` Chr`8` : `130,624,105`	0.000	0.999	0.000
rs6577655 lBF = `-0.0824192` Chr`8` : `135,593,725`	0.000	0.999	0.000
rs2688325 lBF = `-0.0870791` Chr`8` : `3,767,210`	0.000	0.999	0.000
rs10109541 lBF = `-0.12609` Chr`8` : `523,920`	0.001	0.999	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.000	0.999	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	0.999	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	0.999	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	0.999	0.000
rs117880470 lBF = `-0.034689` Chr`8` : `6,933,373`	0.000	0.999	0.000
rs2514805 lBF = `-0.0377243` Chr`8` : `95,167,247`	0.000	0.999	0.000
rs6557786 lBF = `-0.0632373` Chr`8` : `24,799,742`	0.000	0.999	0.000
rs12681288 lBF = `-0.123687` Chr`8` : `1,035,152`	0.000	0.999	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.000	0.999	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.999	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	0.999	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.000	0.999	0.000
rs13278732 lBF = `0.0490226` Chr`8` : `99,088,581`	0.000	0.999	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.000	0.999	0.000
rs1425053 lBF = `0.0382757` Chr`8` : `120,212,990`	0.000	0.999	0.000
rs11787111 lBF = `-0.00819103` Chr`8` : `65,192,451`	0.000	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs6988306 lBF = `-0.0272986` Chr`8` : `102,596,210`	0.000	0.999	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	0.999	0.000
rs11136000 lBF = `-0.0932441` Chr`8` : `27,464,519`	0.000	0.999	0.000
rs6983267 lBF = `64.2754` Chr`8` : `128,413,305`	0.000	0.999	0.000
rs2954033 lBF = `27.3604` Chr`8` : `126,493,746`	0.000	0.999	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	0.999	0.000
rs117933211 lBF = `0.115108` Chr`8` : `47,243,611`	0.000	0.999	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	0.999	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	0.999	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	0.999	0.000
rs17349258 lBF = `0.00084495` Chr`8` : `4,841,024`	0.000	0.999	0.000
rs2002030 lBF = `-0.0219667` Chr`8` : `11,276,542`	0.000	0.999	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.999	0.000
rs9314308 lBF = `-0.0247094` Chr`8` : `25,544,679`	0.000	0.999	0.000
rs6990255 lBF = `-0.0284721` Chr`8` : `34,126,948`	0.000	0.999	0.000
rs7822232 lBF = `-0.0334663` Chr`8` : `145,145,687`	0.000	0.999	0.000
rs956225 lBF = `-0.0659505` Chr`8` : `122,909,687`	0.000	0.999	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.000	0.999	0.000
rs569214 lBF = `0.304049` Chr`8` : `27,487,790`	0.000	0.999	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	0.999	0.000
rs2278491 lBF = `0.182751` Chr`8` : `117,656,871`	0.000	0.999	0.000
rs7821565 lBF = `0.0801604` Chr`8` : `52,216,762`	0.000	0.999	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	0.999	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	0.999	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7167

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7166

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7165

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7164

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7163

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7162

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7160

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7157

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7146

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7133

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7131

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7130

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7126

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7126

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7125

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7123

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7111

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7101

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7100

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7084

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7071

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7066

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7062

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7036

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7030

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7019

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7011

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7001

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6998

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6997

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6961

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6948

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6931

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6926

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6923

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6923

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6905

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6877

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6875

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6869

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6851

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6830

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6822

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6807

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6800

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6798

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6786

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6780

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6779

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6779

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6765

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6742

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6703

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6689

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6688

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6681

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6672

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6641

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6609

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6609

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6603

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6596

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6591

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6589

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6500

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6389

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6381

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6320

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6317

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6309

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6294

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6274

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6254

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6237

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6215

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6180

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6178

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6083

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6077

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5999

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5973

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5947

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5910

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5909

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5907

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5887

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5820

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5799

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5792

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5740

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5730

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5713

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5705

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5604

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5603

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5548

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5543

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5498

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5443

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5388

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5319

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5307

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5290

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5234

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5215

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5116

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4990

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4973

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4971

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4897

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4852

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4705

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4650

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4626

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4412

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4386

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4213

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4147

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3996

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3951

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3765

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3643

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3612

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3384

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3377

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3352

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3337

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3142

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2967

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2466

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2398

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1433

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1301

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1295

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1210

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1196

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1036

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0772

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0593

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0575

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0523

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`)