TreeWAS – [R52.2] Other chronic pain

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.896	0.104	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.761	0.239	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.667	0.333	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.656	0.344	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.651	0.349	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.649	0.351	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.638	0.362	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.626	0.374	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.618	0.382	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.610	0.390	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.609	0.391	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.583	0.417	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.574	0.426	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.563	0.437	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.561	0.439	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.532	0.468	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.529	0.471	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.524	0.476	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.504	0.496	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.496	0.504	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.493	0.507	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.521	0.478
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.468	0.531	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.467	0.533	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.461	0.539	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.447	0.553	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.445	0.555	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.436	0.564	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.434	0.566	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.425	0.575	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.422	0.578	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.417	0.583	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.405	0.594	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.403	0.597	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.396	0.604	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.380	0.620	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.373	0.626	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.370	0.630	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.359	0.641	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.349	0.650	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.335	0.665	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.327	0.673	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.311	0.689	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.307	0.693	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.294	0.706	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.290	0.710	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.288	0.712	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.283	0.717	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.260	0.739	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.254	0.745	0.001
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.244	0.755	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.244	0.756	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.224	0.776	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.220	0.779	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.220	0.780	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.206	0.794	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.202	0.798	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.201	0.799	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.196	0.804	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.171	0.829	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.168	0.832	0.001
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.167	0.833	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.165	0.834	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.165	0.834	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.156	0.843	0.001
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.153	0.847	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.143	0.857	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.141	0.859	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.129	0.871	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.113	0.887	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.107	0.893	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.106	0.894	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.094	0.906	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.091	0.909	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.090	0.910	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.086	0.914	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.080	0.920	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.072	0.928	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.064	0.936	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.064	0.936	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.064	0.936	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.062	0.938	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.052	0.948	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.050	0.950	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.049	0.951	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.049	0.951	0.001
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.958	0.042
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.040	0.960	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.037	0.963	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.035	0.965	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.031	0.969	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.028	0.972	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.027	0.972	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.026	0.974	0.001
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.023	0.977	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.023	0.977	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.021	0.979	0.000
rs1531462 lBF = `-0.0228192` Chr`8` : `76,752,790`	0.000	0.980	0.020
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.018	0.981	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.018	0.982	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.016	0.984	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.016	0.984	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.016	0.984	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.015	0.984	0.000
rs969599 lBF = `-0.00889026` Chr`8` : `18,424,731`	0.000	0.984	0.016
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.014	0.985	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.014	0.985	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.014	0.986	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.013	0.986	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.013	0.987	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.012	0.987	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.011	0.988	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.989	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.011	0.989	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.011	0.989	0.000
rs11782824 lBF = `-0.0785949` Chr`8` : `38,781,040`	0.000	0.989	0.011
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.010	0.989	0.000
rs7012814 lBF = `0.264762` Chr`8` : `9,173,358`	0.000	0.991	0.009
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.009	0.991	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.009	0.991	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.009	0.991	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.009	0.991	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.009	0.991	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.009	0.991	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.008	0.992	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.008	0.992	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.007	0.992	0.000
rs6989684 lBF = `-0.00918676` Chr`8` : `120,143,039`	0.000	0.993	0.007
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.006	0.994	0.000
rs9657451 lBF = `-0.0524017` Chr`8` : `138,905,296`	0.006	0.994	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.006	0.994	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.006	0.994	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.006	0.994	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.006	0.994	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.005	0.995	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.005	0.995	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.005	0.995	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.005	0.995	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.005	0.995	0.000
rs6981992 lBF = `-0.0112274` Chr`8` : `66,463,478`	0.000	0.995	0.005
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.004	0.996	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.004	0.996	0.000
rs278567 lBF = `-0.0990952` Chr`8` : `94,169,350`	0.004	0.996	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.004	0.996	0.000
rs6473227 lBF = `4.79247` Chr`8` : `81,285,892`	0.000	0.996	0.004
rs516946 lBF = `7.57641` Chr`8` : `41,519,248`	0.000	0.996	0.004
rs1693575 lBF = `-0.087782` Chr`8` : `101,682,777`	0.004	0.996	0.000
rs2299587 lBF = `0.0207005` Chr`8` : `17,800,769`	0.004	0.996	0.000
rs6993449 lBF = `-0.0949468` Chr`8` : `108,281,427`	0.000	0.996	0.004
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.003	0.997	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.003	0.997	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.000	0.997	0.003
rs55798256 lBF = `-0.0624198` Chr`8` : `94,303,801`	0.000	0.997	0.003
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.003	0.997	0.000
rs7006821 lBF = `0.750614` Chr`8` : `72,270,082`	0.003	0.997	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.003	0.997	0.000
rs231147 lBF = `0.00450035` Chr`8` : `116,417,563`	0.003	0.997	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.003	0.997	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.002	0.997	0.000
rs112537273 lBF = `0.100864` Chr`8` : `38,248,306`	0.003	0.997	0.000
rs4545046 lBF = `0.327938` Chr`8` : `27,556,526`	0.000	0.997	0.003
rs3816063 lBF = `0.037678` Chr`8` : `142,161,064`	0.000	0.997	0.003
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.002	0.997	0.000
rs117628011 lBF = `0.242073` Chr`8` : `76,319,166`	0.002	0.998	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.002	0.998	0.000
rs7009110 lBF = `4.68843` Chr`8` : `81,291,879`	0.000	0.998	0.002
rs7829127 lBF = `-0.00677657` Chr`8` : `40,726,394`	0.002	0.998	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.002	0.998	0.000
rs2066940 lBF = `-0.101765` Chr`8` : `21,190,268`	0.000	0.998	0.002
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.002	0.998	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.002	0.998	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.002	0.998	0.001
rs10090288 lBF = `-0.0240145` Chr`8` : `16,929,635`	0.000	0.998	0.002
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.002	0.998	0.000
rs13252298 lBF = `2.21438` Chr`8` : `128,095,156`	0.002	0.998	0.000
rs515071 lBF = `7.87657` Chr`8` : `41,519,462`	0.000	0.998	0.002
rs2597327 lBF = `-0.0543388` Chr`8` : `133,436,942`	0.000	0.998	0.002
rs12543592 lBF = `-0.0469522` Chr`8` : `123,511,652`	0.002	0.998	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.002	0.998	0.000
rs2293889 lBF = `0.741129` Chr`8` : `116,599,199`	0.000	0.998	0.002
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.002	0.998	0.000
rs7844647 lBF = `1.14055` Chr`8` : `34,503,776`	0.000	0.998	0.002
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.002	0.998	0.000
rs6422354 lBF = `-0.0143532` Chr`8` : `9,438,720`	0.002	0.998	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.002	0.998	0.000
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.002	0.998	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.002	0.998	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.002	0.998	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.002	0.998	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.002	0.998	0.000
rs4471028 lBF = `-0.0382274` Chr`8` : `75,294,975`	0.000	0.998	0.002
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs7839488 lBF = `-0.0970719` Chr`8` : `121,562,418`	0.002	0.998	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.002	0.998	0.000
rs13275219 lBF = `6.32362` Chr`8` : `81,259,826`	0.002	0.998	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.002	0.998	0.000
rs6473223 lBF = `6.12391` Chr`8` : `81,268,155`	0.000	0.998	0.002
rs16887244 lBF = `0.0893133` Chr`8` : `38,031,345`	0.002	0.998	0.000
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rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.001	0.999	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.001	0.999	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	0.999	0.001
rs1484642 lBF = `-0.00808999` Chr`8` : `9,986,655`	0.001	0.999	0.000
rs1106634 lBF = `-0.0157477` Chr`8` : `20,066,049`	0.000	0.999	0.001
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.001	0.999	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.000	0.999	0.001
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.001	0.999	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.000	0.999	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.001	0.999	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	0.999	0.000
rs6601299 lBF = `0.00974298` Chr`8` : `9,184,691`	0.000	0.999	0.001
rs7820074 lBF = `-0.0388993` Chr`8` : `82,928,598`	0.001	0.999	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.000	0.999	0.001
rs10435719 lBF = `2.63268` Chr`8` : `11,776,904`	0.001	0.999	0.000
rs7815720 lBF = `0.203389` Chr`8` : `118,089,513`	0.001	0.999	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	0.999	0.001
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.000	0.999	0.001
rs10108033 lBF = `0.0622048` Chr`8` : `132,330,716`	0.001	0.999	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.999	0.001
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.000	0.999	0.000
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.001	0.999	0.000
rs12541063 lBF = `-0.00270779` Chr`8` : `135,869,976`	0.001	0.999	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	0.999	0.000
rs591323 lBF = `-0.0377273` Chr`8` : `16,697,091`	0.000	0.999	0.001
rs7828089 lBF = `-0.106178` Chr`8` : `22,264,334`	0.001	0.999	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.999	0.001
rs12541491 lBF = `3.13816` Chr`8` : `10,250,048`	0.001	0.999	0.000
rs500816 lBF = `0.296843` Chr`8` : `20,803,103`	0.000	0.999	0.001
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	0.999	0.001
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.000	0.999	0.001
rs11989868 lBF = `-0.0864361` Chr`8` : `14,550,156`	0.001	0.999	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.000	0.999	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.001	0.999	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.000	0.999	0.000
rs10097731 lBF = `0.231731` Chr`8` : `82,027,672`	0.000	0.999	0.001
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	0.999	0.001
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.000	0.999	0.001
rs10101158 lBF = `-0.123915` Chr`8` : `142,881,966`	0.001	0.999	0.000
rs6651252 lBF = `1.51073` Chr`8` : `129,567,181`	0.000	0.999	0.001
rs11780156 lBF = `0.562409` Chr`8` : `129,194,641`	0.000	0.999	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	0.999	0.000
rs11774682 lBF = `0.107193` Chr`8` : `31,034,275`	0.000	0.999	0.000
rs17749211 lBF = `-0.00886405` Chr`8` : `119,391,409`	0.000	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.000	0.999	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.000	0.999	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.000	0.999	0.001
rs16868941 lBF = `0.561921` Chr`8` : `103,052,377`	0.000	0.999	0.000
rs1030420 lBF = `0.105037` Chr`8` : `67,360,725`	0.000	0.999	0.001
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	0.999	0.000
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.999	0.000
rs13273088 lBF = `-0.0230254` Chr`8` : `70,493,974`	0.000	0.999	0.001
rs2137277 lBF = `-0.0357928` Chr`8` : `40,734,662`	0.000	0.999	0.000
rs10505574 lBF = `-0.0558895` Chr`8` : `132,472,102`	0.000	0.999	0.000
rs10808739 lBF = `-0.0697806` Chr`8` : `65,640,260`	0.001	0.999	0.000
rs876983 lBF = `-0.140682` Chr`8` : `18,407,858`	0.000	0.999	0.001
rs4841132 lBF = `1.0853` Chr`8` : `9,183,596`	0.000	0.999	0.000
rs7814403 lBF = `0.775744` Chr`8` : `36,459,454`	0.000	0.999	0.001
rs62522179 lBF = `0.0435349` Chr`8` : `142,154,696`	0.000	0.999	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.999	0.000
rs16935279 lBF = `0.0089337` Chr`8` : `69,873,452`	0.000	0.999	0.000
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	0.999	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	0.999	0.000
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.000	0.999	0.000
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	0.999	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	0.999	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.000	0.999	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.000	1.000	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.000	1.000	0.000
rs4269515 lBF = `0.332843` Chr`8` : `107,909,009`	0.000	1.000	0.000
rs17667932 lBF = `0.20904` Chr`8` : `118,549,376`	0.000	1.000	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	1.000	0.000
rs1461729 lBF = `0.0670221` Chr`8` : `9,187,242`	0.000	1.000	0.000
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	1.000	0.000
rs77924284 lBF = `-0.00779876` Chr`8` : `40,983,185`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.000	1.000	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.000	1.000	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.000	1.000	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	1.000	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.000	1.000	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.000	1.000	0.000
rs4077341 lBF = `1.2878` Chr`8` : `22,962,348`	0.000	1.000	0.000
rs4637816 lBF = `0.0835773` Chr`8` : `78,277,473`	0.000	1.000	0.000
rs2738058 lBF = `0.0417711` Chr`8` : `6,821,617`	0.000	1.000	0.000
rs7004484 lBF = `0.0286376` Chr`8` : `132,934,538`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	1.000	0.000
rs4557697 lBF = `0.00020894` Chr`8` : `63,843,631`	0.000	1.000	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.000	1.000	0.000
rs13340561 lBF = `-0.00345309` Chr`8` : `16,058,905`	0.000	1.000	0.000
rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	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

0.3506

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1043

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0677

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9995

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9910

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9864

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9805

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9798

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9787

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9769

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9588

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9575

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9560

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9525

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9423

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9396

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9304

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9227

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9222

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9166

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9162

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9115

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8954

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8930

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8812

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8723

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8618

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8492

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8387

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8380

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8316

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8159

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8142

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7937

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7793

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7650

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7264

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7100

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7075

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7018

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6952

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6685

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6673

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6666

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6304

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6284

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6154

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6053

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5992

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5976

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5942

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5664

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5431

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5425

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5337

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5318

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5291

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5251

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5171

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4928

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4393

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4110

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4094

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3923

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3720

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3143

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3141

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3067

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2883

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2847

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2817

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2529

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2187

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2151

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2081

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2077

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2053

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1977

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1881

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1875

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1875

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1868

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1776

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1580

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1297

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1171

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0999

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0960

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0650

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0640

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0597

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0564

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`)