TreeWAS – [Z35.4] Supervision of pregnancy with grand multiparity

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
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.755	0.245	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.656	0.344	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.645	0.355	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.604	0.395	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.603	0.397	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.569	0.431	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.550	0.450	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.542	0.458	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.512	0.488	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.502	0.498	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.497	0.503	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.489	0.511	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.485	0.514	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.484	0.515	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.477	0.523	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.476	0.524	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.468	0.532	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.464	0.536	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.463	0.537	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.462	0.538	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.459	0.540	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.453	0.547	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.450	0.549	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.438	0.561	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.435	0.565	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.428	0.571	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.424	0.576	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.422	0.578	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.419	0.581	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.412	0.588	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.396	0.603	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.393	0.607	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.388	0.611	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.385	0.615	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.383	0.617	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.381	0.619	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.619	0.380
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.378	0.622	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.378	0.622	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.371	0.629	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.370	0.630	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.367	0.633	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.366	0.634	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.362	0.638	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.357	0.643	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.354	0.646	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.352	0.648	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.351	0.649	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.350	0.650	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.349	0.651	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.347	0.653	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.346	0.654	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.342	0.658	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.340	0.660	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.340	0.660	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.337	0.663	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.336	0.664	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.331	0.668	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.330	0.670	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.329	0.671	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.325	0.675	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.323	0.676	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.321	0.679	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.319	0.681	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.314	0.685	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.306	0.694	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.301	0.699	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.297	0.702	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.283	0.717	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.278	0.722	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.272	0.728	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.272	0.728	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.269	0.731	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.267	0.733	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.266	0.733	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.266	0.733	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.265	0.735	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.259	0.740	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.251	0.748	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.247	0.753	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.245	0.755	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.240	0.760	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.238	0.762	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.236	0.764	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.236	0.764	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.232	0.768	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.232	0.768	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.227	0.773	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.222	0.777	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.217	0.783	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.215	0.785	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.214	0.786	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.208	0.792	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.201	0.799	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.194	0.806	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.192	0.808	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.191	0.809	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.191	0.809	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.186	0.814	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.186	0.814	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.184	0.816	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.183	0.817	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.174	0.826	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.173	0.826	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.169	0.830	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.165	0.834	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.163	0.837	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.156	0.844	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.153	0.847	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.145	0.854	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.143	0.857	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.139	0.861	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.139	0.861	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.138	0.862	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.138	0.862	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.138	0.862	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.138	0.862	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.135	0.864	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.128	0.872	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.127	0.873	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.127	0.873	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.127	0.873	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.126	0.873	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.121	0.878	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.119	0.881	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.111	0.888	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.100	0.899	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.098	0.902	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.095	0.905	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.083	0.917	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.082	0.918	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.080	0.919	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.079	0.921	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.079	0.921	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.073	0.927	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.071	0.929	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.070	0.930	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.067	0.932	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.066	0.934	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.062	0.937	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.062	0.938	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.939	0.061
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.061	0.939	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.059	0.941	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.058	0.942	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.057	0.942	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.057	0.943	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.051	0.948	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.049	0.950	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.048	0.952	0.000
rs79845597 lBF = `6.34669` Chr`8` : `10,319,327`	0.000	0.954	0.046
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.041	0.958	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.038	0.962	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.032	0.968	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.031	0.969	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.030	0.970	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.029	0.971	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.028	0.972	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.026	0.974	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.025	0.975	0.000
rs1425902 lBF = `0.126688` Chr`8` : `54,119,214`	0.000	0.977	0.023
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.022	0.978	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.021	0.979	0.001
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.021	0.979	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.020	0.979	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.020	0.980	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.020	0.980	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.019	0.980	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.019	0.980	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.018	0.982	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.017	0.983	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.016	0.984	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.015	0.985	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.014	0.986	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.014	0.986	0.000
rs16902094 lBF = `2.51795` Chr`8` : `128,320,346`	0.013	0.986	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.013	0.987	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.012	0.987	0.000
rs1604897 lBF = `-0.0224457` Chr`8` : `122,182,310`	0.012	0.988	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.011	0.989	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.010	0.989	0.001
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.009	0.990	0.000
rs4471028 lBF = `-0.0382274` Chr`8` : `75,294,975`	0.000	0.991	0.009
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.008	0.992	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.008	0.992	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.007	0.992	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.007	0.992	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.007	0.992	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.007	0.992	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.007	0.993	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.007	0.993	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.007	0.993	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.007	0.993	0.000
rs56292044 lBF = `0.784944` Chr`8` : `138,776,547`	0.006	0.993	0.000
rs4596632 lBF = `0.305403` Chr`8` : `132,353,735`	0.006	0.994	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.006	0.994	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.006	0.994	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.006	0.994	0.000
rs4506170 lBF = `1.56706` Chr`8` : `128,323,891`	0.006	0.994	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.005	0.995	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.005	0.995	0.000
rs3870371 lBF = `-0.0683153` Chr`8` : `122,697,132`	0.000	0.995	0.005
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rs118152978 lBF = `-0.00568444` Chr`8` : `127,353,538`	0.001	0.999	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	0.999	0.001
rs2410601 lBF = `-0.0828744` Chr`8` : `18,922,577`	0.001	0.999	0.000
rs17666538 lBF = `0.3659` Chr`8` : `566,207`	0.000	0.999	0.001
rs1478897 lBF = `0.0531578` Chr`8` : `11,395,232`	0.000	0.999	0.001
rs28455997 lBF = `0.0306551` Chr`8` : `3,076,959`	0.000	0.999	0.001
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.000	0.999	0.001
rs12680655 lBF = `-0.0634072` Chr`8` : `135,637,337`	0.001	0.999	0.000
rs1388941 lBF = `-0.0733002` Chr`8` : `19,615,471`	0.000	0.999	0.001
rs1906493 lBF = `-0.0772123` Chr`8` : `127,092,882`	0.000	0.999	0.001
rs56010636 lBF = `0.0531187` Chr`8` : `96,866,349`	0.000	0.999	0.000
rs1540507 lBF = `0.0353765` Chr`8` : `3,088,763`	0.000	0.999	0.001
rs4739066 lBF = `0.0142204` Chr`8` : `64,104,092`	0.001	0.999	0.000
rs182934215 lBF = `-0.00154347` Chr`8` : `10,434,142`	0.001	0.999	0.000
rs112505062 lBF = `-0.0224138` Chr`8` : `96,293,103`	0.001	0.999	0.000
rs11782652 lBF = `-0.0242561` Chr`8` : `82,653,644`	0.000	0.999	0.001
rs10503871 lBF = `-0.0315324` Chr`8` : `30,436,852`	0.001	0.999	0.000
rs2128382 lBF = `-0.0362157` Chr`8` : `130,820,039`	0.000	0.999	0.001
rs16904191 lBF = `-0.0662403` Chr`8` : `131,033,496`	0.000	0.999	0.001
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.001	0.999	0.000
rs10504249 lBF = `0.015296` Chr`8` : `58,789,081`	0.001	0.999	0.000
rs16906415 lBF = `-0.0501785` Chr`8` : `137,850,011`	0.001	0.999	0.000
rs79076257 lBF = `-0.055238` Chr`8` : `110,244,623`	0.001	0.999	0.000
rs4921799 lBF = `-0.0748329` Chr`8` : `17,507,964`	0.001	0.999	0.000
rs34746873 lBF = `-0.119938` Chr`8` : `62,898,949`	0.000	0.999	0.001
rs1516971 lBF = `1.4255` Chr`8` : `129,542,100`	0.000	0.999	0.000
rs10088218 lBF = `1.35488` Chr`8` : `129,543,949`	0.000	0.999	0.000
rs1962772 lBF = `0.0489516` Chr`8` : `17,370,776`	0.001	0.999	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.000	0.999	0.000
rs1015213 lBF = `-0.0220378` Chr`8` : `52,887,541`	0.000	0.999	0.001
rs7818688 lBF = `-0.0221357` Chr`8` : `96,024,082`	0.000	0.999	0.001
rs3134353 lBF = `-0.038683` Chr`8` : `101,947,453`	0.000	0.999	0.001
rs2066940 lBF = `-0.101765` Chr`8` : `21,190,268`	0.000	0.999	0.001
rs800586 lBF = `0.947739` Chr`8` : `116,813,905`	0.000	0.999	0.001
rs62505227 lBF = `0.222927` Chr`8` : `40,287,249`	0.001	0.999	0.000
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.001	0.999	0.000
rs2291791 lBF = `-0.00810849` Chr`8` : `20,066,839`	0.001	0.999	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.000	0.999	0.000
rs34335167 lBF = `6.65121` Chr`8` : `143,757,564`	0.001	0.999	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.001	0.999	0.000
rs62506864 lBF = `-0.00260275` Chr`8` : `52,300,770`	0.001	0.999	0.000
rs13254738 lBF = `-0.0366046` Chr`8` : `128,104,343`	0.000	0.999	0.001
rs17070309 lBF = `-0.0695262` Chr`8` : `4,299,883`	0.000	0.999	0.001
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.001	0.999	0.000
rs77583023 lBF = `0.0909038` Chr`8` : `46,946,626`	0.000	0.999	0.001
rs2978048 lBF = `0.0699269` Chr`8` : `134,616,136`	0.000	0.999	0.000
rs13281609 lBF = `0.0126291` Chr`8` : `115,324,068`	0.001	0.999	0.000
rs77742018 lBF = `0.00312351` Chr`8` : `96,504,472`	0.000	0.999	0.001
rs7387468 lBF = `-0.0269339` Chr`8` : `94,358,098`	0.001	0.999	0.000
rs1991866 lBF = `-0.0639021` Chr`8` : `130,624,105`	0.001	0.999	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	0.999	0.000
rs17232730 lBF = `1.30095` Chr`8` : `129,537,746`	0.001	0.999	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	0.999	0.000
rs4922265 lBF = `0.00141826` Chr`8` : `16,996,435`	0.001	0.999	0.000
rs7825271 lBF = `-0.0345897` Chr`8` : `69,563,695`	0.000	0.999	0.001
rs311392 lBF = `-0.0639479` Chr`8` : `55,084,782`	0.001	0.999	0.000
rs4077669 lBF = `-0.0933115` Chr`8` : `144,976,572`	0.000	0.999	0.000
rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	0.001	0.999	0.000
rs10113221 lBF = `0.139095` Chr`8` : `3,743,704`	0.000	0.999	0.000
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.000	0.999	0.000
rs7844537 lBF = `0.0409733` Chr`8` : `28,954,892`	0.001	0.999	0.000
rs118149821 lBF = `-0.00756704` Chr`8` : `85,276,067`	0.000	0.999	0.000
rs6988306 lBF = `-0.0272986` Chr`8` : `102,596,210`	0.000	0.999	0.000
rs10098310 lBF = `-0.0420834` Chr`8` : `130,613,614`	0.001	0.999	0.000
rs1487141 lBF = `-0.0502364` Chr`8` : `32,139,652`	0.001	0.999	0.000
rs40457 lBF = `-0.0964489` Chr`8` : `90,823,687`	0.000	0.999	0.001
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.001	0.999	0.000
rs2293889 lBF = `0.741129` Chr`8` : `116,599,199`	0.001	0.999	0.000
rs12546471 lBF = `0.253507` Chr`8` : `4,181,065`	0.001	0.999	0.000
rs2126259 lBF = `0.0711624` Chr`8` : `9,185,146`	0.000	0.999	0.000
rs189087047 lBF = `0.0259282` Chr`8` : `118,651,389`	0.000	0.999	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	0.999	0.000
rs1042992 lBF = `-0.0604619` Chr`8` : `26,269,191`	0.001	0.999	0.000
rs1561927 lBF = `-0.0657726` Chr`8` : `129,568,078`	0.000	0.999	0.001
rs11782824 lBF = `-0.0785949` Chr`8` : `38,781,040`	0.001	0.999	0.000
rs2640806 lBF = `-0.0792365` Chr`8` : `97,369,634`	0.001	0.999	0.000
Affx-31548681 lBF = `15.4653` Chr`8` : `128,428,795`	0.001	0.999	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.000	0.999	0.000
rs16907751 lBF = `2.88109` Chr`8` : `81,375,457`	0.001	0.999	0.000
rs7834018 lBF = `0.188881` Chr`8` : `72,561,742`	0.000	0.999	0.000
rs2466035 lBF = `0.0722241` Chr`8` : `128,211,229`	0.001	0.999	0.000
rs7826834 lBF = `0.00116616` Chr`8` : `62,401,962`	0.000	0.999	0.000
rs2071598 lBF = `-0.0176702` Chr`8` : `99,129,507`	0.000	0.999	0.001
rs13269021 lBF = `-0.031375` Chr`8` : `6,396,763`	0.001	0.999	0.000
rs2565065 lBF = `-0.0811412` Chr`8` : `27,328,021`	0.001	0.999	0.000
rs11136000 lBF = `-0.0932441` Chr`8` : `27,464,519`	0.001	0.999	0.000
rs115849089 lBF = `6.47166` Chr`8` : `19,912,370`	0.000	0.999	0.001
rs4240624 lBF = `1.12546` Chr`8` : `9,184,231`	0.000	0.999	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.000	0.999	0.000
rs13263959 lBF = `0.166306` Chr`8` : `142,632,315`	0.001	0.999	0.000
rs7827290 lBF = `0.0731665` Chr`8` : `142,300,315`	0.001	0.999	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	0.999	0.000
rs149232124 lBF = `-0.00106835` Chr`8` : `107,335,395`	0.000	0.999	0.000
rs13273891 lBF = `-0.032508` Chr`8` : `58,986,459`	0.000	0.999	0.001
rs1456315 lBF = `-0.0458556` Chr`8` : `128,103,937`	0.000	0.999	0.001
rs10092658 lBF = `-0.0463732` Chr`8` : `130,980,472`	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)

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2113

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0992

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0739

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9208

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9031

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8940

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8761

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8680

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8364

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8312

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8162

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8119

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8033

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7872

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7714

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7630

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7563

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7547

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7544

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7405

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7166

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7162

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7158

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7156

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7155

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7154

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7145

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7145

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7141

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7134

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7131

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7126

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7123

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7096

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7096

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7091

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7091

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7080

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7078

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7078

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7055

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7005

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7001

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7000

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6982

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6951

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6913

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6887

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6872

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6867

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6856

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6839

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6836

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6793

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6777

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6756

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6755

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6686

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6672

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6662

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6634

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6631

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6502

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6418

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6387

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6377

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6329

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6327

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6320

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6296

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6103

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6040

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5991

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5946

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5921

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5870

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5867

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5772

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5733

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5721

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5657

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5491

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5236

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5195

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5047

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5006

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4987

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4968

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4905

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4864

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4826

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4776

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4736

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4712

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4637

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4496

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3969

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3964

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3893

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3672

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3440

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3377

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3326

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3313

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3309

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3233

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3061

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3060

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3041

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2834

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2564

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2448

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2440

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2325

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2110

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2061

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2047

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2013

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1991

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1982

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1953

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1923

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1916

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1910

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1890

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1866

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1866

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1668

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1627

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1564

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1534

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1459

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1441

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1402

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1337

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1243

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1212

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1170

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1141

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0993

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0859

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0773

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0638

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0634

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0519

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`)