TreeWAS – [Z97.5] Presence of (intra-uterine) contraceptive device

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
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.757	0.243	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.707	0.293	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.684	0.316	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.677	0.323	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.673	0.327	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.659	0.341	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.658	0.342	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.653	0.347	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.632	0.368	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.629	0.371	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.624	0.376	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.619	0.381	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.605	0.395	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.603	0.396	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.580	0.420	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.544	0.456	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.535	0.465	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.534	0.466	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.524	0.476	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.523	0.477	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.511	0.489	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.493	0.506
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.505	0.494	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.505	0.495	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.504	0.496	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.494	0.505	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.491	0.508	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.482	0.517	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.480	0.520	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.455	0.545	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.447	0.552	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.446	0.553	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.434	0.565	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.428	0.572	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.426	0.574	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.415	0.585	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.404	0.596	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.395	0.605	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.393	0.607	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.386	0.614	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.384	0.615	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.376	0.624	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.368	0.632	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.323	0.677	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.317	0.683	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.316	0.684	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.311	0.689	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.303	0.696	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.298	0.702	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.296	0.704	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.296	0.704	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.292	0.708	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.280	0.720	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.267	0.732	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.267	0.733	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.261	0.739	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.260	0.740	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.239	0.761	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.232	0.767	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.232	0.768	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.224	0.776	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.210	0.790	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.209	0.791	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.172	0.828	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.171	0.829	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.161	0.838	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.160	0.840	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.152	0.848	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.146	0.854	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.134	0.866	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.125	0.875	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.120	0.880	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.113	0.887	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.107	0.893	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.101	0.899	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.095	0.905	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.094	0.906	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.094	0.906	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.092	0.908	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.922	0.077
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.075	0.925	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.066	0.934	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.058	0.942	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.057	0.943	0.000
rs2294008 lBF = `21.3866` Chr`8` : `143,761,931`	0.048	0.952	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.045	0.955	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.043	0.957	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.038	0.962	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.038	0.962	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.038	0.962	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.034	0.966	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.026	0.974	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.025	0.974	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.025	0.975	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.023	0.977	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.023	0.977	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.021	0.979	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.017	0.983	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.017	0.983	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.015	0.985	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.015	0.985	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.013	0.987	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.012	0.987	0.000
rs4909801 lBF = `0.00751066` Chr`8` : `135,879,159`	0.000	0.988	0.012
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.012	0.988	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.011	0.989	0.000
rs1045531 lBF = `21.1209` Chr`8` : `143,763,547`	0.010	0.990	0.000
rs2450083 lBF = `0.118062` Chr`8` : `120,063,542`	0.000	0.990	0.010
rs116237496 lBF = `0.0216323` Chr`8` : `102,045,915`	0.000	0.990	0.010
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.009	0.990	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.009	0.991	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.009	0.991	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.009	0.991	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.008	0.992	0.000
rs6993813 lBF = `0.151365` Chr`8` : `120,052,238`	0.000	0.992	0.007
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.993	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.007	0.993	0.000
rs6469804 lBF = `0.816679` Chr`8` : `120,044,829`	0.000	0.993	0.007
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.006	0.994	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.006	0.994	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.006	0.994	0.000
rs17685410 lBF = `-0.0559858` Chr`8` : `2,113,776`	0.006	0.994	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.005	0.995	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.005	0.995	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.005	0.995	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.004	0.995	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.004	0.996	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.004	0.996	0.000
rs7816936 lBF = `-0.015758` Chr`8` : `5,071,412`	0.000	0.996	0.004
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.004	0.996	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.004	0.996	0.000
rs2062375 lBF = `0.412839` Chr`8` : `119,977,792`	0.000	0.996	0.004
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs1469039 lBF = `-0.0366272` Chr`8` : `140,651,779`	0.000	0.996	0.004
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.003	0.997	0.000
rs2062377 lBF = `0.404128` Chr`8` : `120,007,420`	0.000	0.997	0.003
rs4424296 lBF = `0.0647184` Chr`8` : `120,013,276`	0.000	0.997	0.003
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.003	0.997	0.000
rs17464492 lBF = `10.1677` Chr`8` : `128,342,866`	0.000	0.997	0.003
rs4871297 lBF = `-0.0107637` Chr`8` : `123,706,155`	0.003	0.997	0.000
rs980238 lBF = `-0.0774097` Chr`8` : `4,282,618`	0.000	0.997	0.003
rs445114 lBF = `7.32631` Chr`8` : `128,323,181`	0.000	0.997	0.003
rs11777747 lBF = `0.144313` Chr`8` : `142,466,821`	0.003	0.997	0.000
rs11995824 lBF = `0.00378026` Chr`8` : `120,012,700`	0.000	0.997	0.003
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.002	0.998	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.002	0.998	0.000
rs3802177 lBF = `15.0712` Chr`8` : `118,185,025`	0.000	0.998	0.002
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	0.998	0.002
rs11784536 lBF = `0.0764394` Chr`8` : `144,839,147`	0.000	0.998	0.002
rs13271456 lBF = `0.0579694` Chr`8` : `10,625,246`	0.000	0.998	0.002
rs17394429 lBF = `0.751011` Chr`8` : `3,316,986`	0.002	0.998	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	0.998	0.002
rs55821258 lBF = `0.00155321` Chr`8` : `96,292,041`	0.000	0.998	0.002
rs12681963 lBF = `-0.0465827` Chr`8` : `29,982,518`	0.000	0.998	0.002
rs4360309 lBF = `7.7722` Chr`8` : `126,523,523`	0.002	0.998	0.000
rs118061259 lBF = `-0.00006118` Chr`8` : `107,828,078`	0.002	0.998	0.000
rs1264202 lBF = `0.00009129` Chr`8` : `102,227,923`	0.000	0.998	0.002
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.002	0.998	0.000
rs6987702 lBF = `0.299434` Chr`8` : `126,504,726`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.001	0.998	0.000
rs13266634 lBF = `14.9919` Chr`8` : `118,184,783`	0.000	0.998	0.002
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.002	0.998	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.002	0.998	0.000
rs7832357 lBF = `8.58116` Chr`8` : `126,516,197`	0.002	0.998	0.000
rs35246381 lBF = `0.953004` Chr`8` : `18,272,535`	0.000	0.998	0.002
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.002	0.998	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.000	0.998	0.002
rs2953805 lBF = `1.1167` Chr`8` : `8,914,757`	0.002	0.998	0.000
rs2645430 lBF = `0.899183` Chr`8` : `11,659,109`	0.002	0.998	0.000
rs4921913 lBF = `0.911956` Chr`8` : `18,272,377`	0.000	0.998	0.002
rs34975555 lBF = `0.172615` Chr`8` : `17,858,297`	0.000	0.998	0.002
rs367543 lBF = `1.4055` Chr`8` : `9,034,148`	0.002	0.998	0.000
rs1523643 lBF = `-0.0580598` Chr`8` : `16,789,235`	0.000	0.998	0.002
rs2221894 lBF = `-0.0862574` Chr`8` : `28,791,159`	0.000	0.998	0.002
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.001	0.998	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.001	0.998	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	0.998	0.002
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.000	0.998	0.002
rs4921915 lBF = `0.945068` Chr`8` : `18,272,466`	0.000	0.998	0.002
rs7815909 lBF = `-0.0384843` Chr`8` : `57,200,362`	0.000	0.998	0.002
rs7819988 lBF = `-0.0691533` Chr`8` : `122,210,890`	0.002	0.998	0.000
rs62494762 lBF = `-0.0668579` Chr`8` : `5,373,540`	0.002	0.998	0.000
rs4355801 lBF = `0.157347` Chr`8` : `119,923,873`	0.002	0.998	0.000
rs7005380 lBF = `0.0580762` Chr`8` : `120,953,873`	0.000	0.998	0.002
rs2657195 lBF = `0.00307021` Chr`8` : `92,559,915`	0.002	0.998	0.000
rs6991952 lBF = `35.6205` Chr`8` : `25,707,412`	0.002	0.998	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.001	0.998	0.000
rs1495741 lBF = `1.19235` Chr`8` : `18,272,881`	0.000	0.998	0.001
rs6999859 lBF = `-0.00609449` Chr`8` : `80,691,469`	0.000	0.998	0.001
rs7815788 lBF = `-0.0302359` Chr`8` : `57,179,020`	0.000	0.999	0.001
rs7822058 lBF = `-0.0416773` Chr`8` : `53,684,861`	0.001	0.999	0.000
rs12216812 lBF = `-0.0208649` Chr`8` : `82,151,747`	0.001	0.999	0.000
rs73660619 lBF = `-0.042229` Chr`8` : `3,088,173`	0.001	0.999	0.000
rs4917300 lBF = `0.249` Chr`8` : `143,121,671`	0.001	0.999	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.001	0.999	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.001	0.999	0.001
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rs4295623 lBF = `0.788904` Chr`8` : `11,522,784`	0.001	0.999	0.000
rs8180991 lBF = `0.184613` Chr`8` : `126,500,350`	0.000	0.999	0.000
rs2270875 lBF = `-0.0147127` Chr`8` : `132,999,936`	0.001	0.999	0.000
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.001	0.999	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.001	0.999	0.000
rs7464572 lBF = `0.0588959` Chr`8` : `145,021,167`	0.001	0.999	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	0.999	0.001
rs2251301 lBF = `-0.0460862` Chr`8` : `11,119,037`	0.000	0.999	0.001
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.000	0.999	0.000
rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	0.001	0.999	0.000
rs1425902 lBF = `0.126688` Chr`8` : `54,119,214`	0.000	0.999	0.001
rs1864729 lBF = `-0.0097908` Chr`8` : `98,282,189`	0.001	0.999	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.000	0.999	0.001
rs9650068 lBF = `5.82939` Chr`8` : `117,643,773`	0.000	0.999	0.001
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.000	0.999	0.000
rs2460905 lBF = `-0.00438948` Chr`8` : `12,834,600`	0.000	0.999	0.001
rs2129782 lBF = `-0.0095127` Chr`8` : `89,459,234`	0.001	0.999	0.000
rs17405819 lBF = `-0.0363693` Chr`8` : `76,806,584`	0.000	0.999	0.001
rs13279485 lBF = `-0.0737486` Chr`8` : `1,883,352`	0.001	0.999	0.000
rs11992171 lBF = `9.07246` Chr`8` : `128,529,933`	0.000	0.999	0.001
rs1160133 lBF = `0.301225` Chr`8` : `59,305,290`	0.001	0.999	0.000
rs1106761 lBF = `0.249121` Chr`8` : `142,619,234`	0.000	0.999	0.001
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.000	0.999	0.000
rs6468049 lBF = `-0.00898003` Chr`8` : `31,342,467`	0.000	0.999	0.001
rs6557786 lBF = `-0.0632373` Chr`8` : `24,799,742`	0.001	0.999	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.000	0.999	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.000	0.999	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.000	0.999	0.000
rs7844537 lBF = `0.0409733` Chr`8` : `28,954,892`	0.000	0.999	0.000
rs11988997 lBF = `-0.0083682` Chr`8` : `119,766,194`	0.000	0.999	0.000
rs1520333 lBF = `-0.0462441` Chr`8` : `79,401,038`	0.001	0.999	0.000
rs1442407 lBF = `-0.0522984` Chr`8` : `3,091,584`	0.001	0.999	0.000
rs28680850 lBF = `-0.07512` Chr`8` : `1,373,720`	0.001	0.999	0.000
rs112875651 lBF = `33.8974` Chr`8` : `126,506,694`	0.000	0.999	0.001
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.000	0.999	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	0.999	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.000	0.999	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.000	0.999	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.000	0.999	0.000
rs10099338 lBF = `0.0599218` Chr`8` : `9,257,739`	0.000	0.999	0.000
rs55705857 lBF = `0.0449335` Chr`8` : `130,645,692`	0.000	0.999	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.000	0.999	0.000
rs7833426 lBF = `-0.0117422` Chr`8` : `21,662,848`	0.000	0.999	0.000
rs2195588 lBF = `-0.0291008` Chr`8` : `40,356,700`	0.000	0.999	0.000
rs4471028 lBF = `-0.0382274` Chr`8` : `75,294,975`	0.000	0.999	0.001
rs2410601 lBF = `-0.0828744` Chr`8` : `18,922,577`	0.001	0.999	0.000
rs11989868 lBF = `-0.0864361` Chr`8` : `14,550,156`	0.000	0.999	0.000
rs6469937 lBF = `-0.0880785` Chr`8` : `121,610,438`	0.000	0.999	0.001
rs2941484 lBF = `-0.13492` Chr`8` : `76,478,768`	0.001	0.999	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.000	0.999	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.000	0.999	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.000	0.999	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.000	0.999	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	0.999	0.000
rs6601523 lBF = `6.38206` Chr`8` : `10,635,141`	0.000	0.999	0.000
rs569214 lBF = `0.304049` Chr`8` : `27,487,790`	0.000	0.999	0.000
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	0.999	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	0.999	0.000
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	0.999	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	0.999	0.000
rs11781525 lBF = `0.0341254` Chr`8` : `125,721,366`	0.000	0.999	0.000
rs263232 lBF = `-0.00009044` Chr`8` : `131,808,169`	0.000	0.999	0.000
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.000	0.999	0.000
rs10504229 lBF = `-0.0580822` Chr`8` : `58,196,495`	0.000	0.999	0.000
rs6469656 lBF = `-0.0614109` Chr`8` : `117,647,788`	0.000	0.999	0.000
rs7813489 lBF = `9.06018` Chr`8` : `25,749,405`	0.000	1.000	0.000
rs10216709 lBF = `6.56846` Chr`8` : `126,472,487`	0.000	1.000	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.000	1.000	0.000
rs7017914 lBF = `1.95556` Chr`8` : `71,591,203`	0.000	1.000	0.000
rs11778329 lBF = `0.077655` Chr`8` : `49,053,165`	0.000	1.000	0.000
rs4735738 lBF = `0.0576628` Chr`8` : `77,611,625`	0.000	1.000	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.000	1.000	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	1.000	0.000
rs72657970 lBF = `0.0131775` Chr`8` : `72,808,087`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	1.000	0.000
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.000	1.000	0.000
rs11984631 lBF = `-0.00813598` Chr`8` : `73,071,959`	0.000	1.000	0.000
rs2978263 lBF = `-0.00965483` Chr`8` : `30,498,859`	0.000	1.000	0.000
rs1587409 lBF = `-0.0532446` Chr`8` : `118,263,732`	0.000	1.000	0.000
rs11786458 lBF = `-0.0542127` Chr`8` : `40,252,701`	0.000	1.000	0.000
rs1460163 lBF = `-0.064761` Chr`8` : `80,227,448`	0.000	1.000	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs1562430 lBF = `2.29091` Chr`8` : `128,387,852`	0.000	1.000	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.000	1.000	0.000
rs2116078 lBF = `0.0847208` Chr`8` : `73,363,989`	0.000	1.000	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	1.000	0.000
rs3847153 lBF = `0.0392474` Chr`8` : `101,813,156`	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
rs72667712 lBF = `-0.013789` Chr`8` : `71,579,910`	0.000	1.000	0.000
rs181166265 lBF = `-0.0396872` Chr`8` : `80,985,035`	0.000	1.000	0.000
rs10097555 lBF = `-0.0673728` Chr`8` : `32,346,295`	0.000	1.000	0.000
rs931812 lBF = `-0.0890979` Chr`8` : `101,919,321`	0.000	1.000	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	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

0.4865

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4114

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0885

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9896

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9825

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9736

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9714

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9644

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9541

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9496

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9449

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9423

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9318

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9261

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9134

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8964

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8929

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8845

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8821

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8736

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8686

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8672

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8600

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8258

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8181

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8111

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8088

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8046

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7947

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7946

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7787

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7576

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7338

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7230

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7204

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6906

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.6820

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6409

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6276

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6255

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6186

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6110

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5957

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5944

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5885

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5719

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5599

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5333

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5264

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5148

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4849

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4623

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4593

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4565

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4511

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4433

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4366

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4350

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4232

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4023

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3995

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3755

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3621

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3558

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3501

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3404

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3285

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3238

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3168

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3119

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3080

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3080

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2942

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2912

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2823

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2782

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2781

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2781

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2680

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2598

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2498

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2414

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2325

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2257

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2141

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2023

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1903

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1850

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1778

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1732

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1641

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1586

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1509

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1401

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1213

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1135

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0975

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0898

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0867

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.0818

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0726

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0687

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0638

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0625

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0578

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0560

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0511

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`)