TreeWAS – [C79.6] Secondary malignant neoplasm of ovary

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
rs3809272 lBF = `28.191` Chr`12` : `111,800,258`	0.838	0.161	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.810	0.189	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.766	0.234	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.762	0.238	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.740	0.260	0.000
rs7314326 lBF = `0.607786` Chr`12` : `24,107,597`	0.732	0.268	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.721	0.279	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.715	0.284	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.713	0.287	0.000
rs3751196 lBF = `0.93961` Chr`12` : `104,157,502`	0.706	0.294	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.706	0.294	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.705	0.295	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.703	0.297	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.701	0.299	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.692	0.308	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.691	0.309	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.690	0.310	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.688	0.312	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.686	0.314	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.683	0.317	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.682	0.317	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.682	0.318	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.673	0.327	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.668	0.331	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.660	0.340	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.656	0.344	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.653	0.347	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.652	0.348	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.644	0.356	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.643	0.357	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.642	0.358	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.641	0.358	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.641	0.359	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.635	0.365	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.629	0.370	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.609	0.391	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.606	0.394	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.599	0.401	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.596	0.404	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.595	0.405	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.591	0.409	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.000	0.411	0.589
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.589	0.411	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.588	0.412	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.586	0.414	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.584	0.416	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.573	0.427	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.564	0.436	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.563	0.437	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.560	0.440	0.000
rs2110073 lBF = `2.42215` Chr`12` : `7,075,882`	0.556	0.444	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.548	0.452	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.534	0.466	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.533	0.467	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.530	0.470	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.528	0.472	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.523	0.477	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	0.481	0.518
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.514	0.486	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.513	0.487	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.510	0.490	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.509	0.491	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.483	0.516	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.477	0.523	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.476	0.523	0.000
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	0.528	0.471
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.465	0.535	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.000	0.535	0.465
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.463	0.537	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.457	0.543	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.452	0.548	0.000
rs1265566 lBF = `13.2222` Chr`12` : `111,716,376`	0.452	0.548	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.452	0.548	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.444	0.556	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.427	0.572	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.419	0.581	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.418	0.582	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.416	0.584	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.415	0.584	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.411	0.589	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.400	0.599	0.000
rs10774624 lBF = `108.174` Chr`12` : `111,833,788`	0.400	0.600	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.384	0.616	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.381	0.619	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.380	0.620	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.376	0.624	0.000
rs11066301 lBF = `73.3256` Chr`12` : `112,871,372`	0.000	0.626	0.373
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.371	0.629	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.000	0.630	0.370
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.364	0.636	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.357	0.643	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.357	0.643	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.661	0.338
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	0.669	0.331
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.330	0.670	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.328	0.672	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.324	0.676	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.315	0.685	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.312	0.688	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.307	0.693	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.304	0.696	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.300	0.700	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.293	0.707	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.290	0.710	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.290	0.710	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.279	0.720	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.273	0.727	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.258	0.741	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.258	0.742	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.253	0.747	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.249	0.751	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.229	0.770	0.001
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.229	0.771	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.217	0.783	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.211	0.789	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.199	0.801	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.193	0.807	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.187	0.813	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.183	0.817	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.179	0.821	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.172	0.827	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.172	0.828	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.171	0.829	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.164	0.836	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.157	0.843	0.000
rs12580543 lBF = `0.102356` Chr`12` : `7,100,973`	0.148	0.852	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.148	0.852	0.001
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.146	0.854	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.137	0.863	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.131	0.868	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.118	0.882	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.113	0.887	0.000
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.104	0.896	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.103	0.897	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.102	0.898	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.095	0.905	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.093	0.906	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.093	0.906	0.000
rs9739682 lBF = `0.0684794` Chr`12` : `62,516,649`	0.000	0.908	0.092
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.089	0.911	0.000
rs9706154 lBF = `0.0619769` Chr`12` : `62,513,582`	0.000	0.911	0.088
rs2870946 lBF = `0.0641534` Chr`12` : `68,596,661`	0.000	0.913	0.087
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.085	0.914	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.084	0.916	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.084	0.916	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.078	0.922	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.075	0.925	0.000
rs1167125 lBF = `0.204614` Chr`12` : `43,434,282`	0.000	0.926	0.074
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.073	0.927	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.000	0.929	0.070
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.069	0.931	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.069	0.931	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.069	0.931	0.000
rs1009168 lBF = `0.0473879` Chr`12` : `62,510,495`	0.000	0.934	0.066
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.064	0.936	0.000
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.061	0.938	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.061	0.939	0.000
rs9738122 lBF = `0.0447775` Chr`12` : `62,514,673`	0.000	0.940	0.060
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.058	0.942	0.000
rs12829595 lBF = `0.0381979` Chr`12` : `62,507,518`	0.000	0.943	0.057
rs9668865 lBF = `0.0381979` Chr`12` : `62,507,589`	0.000	0.943	0.057
rs35194524 lBF = `0.0381979` Chr`12` : `62,507,200`	0.000	0.943	0.057
rs12425896 lBF = `0.0338669` Chr`12` : `62,506,902`	0.000	0.943	0.057
rs9668369 lBF = `0.0338669` Chr`12` : `62,506,842`	0.000	0.943	0.057
rs1985875 lBF = `0.0379098` Chr`12` : `62,508,024`	0.000	0.943	0.057
rs9738294 lBF = `0.0379098` Chr`12` : `62,508,489`	0.000	0.943	0.057
rs9668015 lBF = `0.0379098` Chr`12` : `62,506,495`	0.000	0.943	0.057
rs1975494 lBF = `0.0379098` Chr`12` : `62,508,197`	0.000	0.943	0.057
rs145861664 lBF = `0.0379098` Chr`12` : `62,505,458`	0.000	0.943	0.057
rs9739546 lBF = `0.0378782` Chr`12` : `62,508,437`	0.000	0.943	0.057
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.056	0.944	0.000
rs11174325 lBF = `0.03392` Chr`12` : `62,503,773`	0.000	0.944	0.056
rs9668676 lBF = `0.03392` Chr`12` : `62,504,199`	0.000	0.944	0.056
rs11174324 lBF = `0.037943` Chr`12` : `62,502,250`	0.000	0.944	0.056
rs10784281 lBF = `0.0223776` Chr`12` : `62,502,979`	0.000	0.946	0.054
rs11058488 lBF = `0.0657132` Chr`12` : `126,551,205`	0.053	0.947	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.053	0.947	0.000
rs1444249 lBF = `0.0395266` Chr`12` : `62,501,196`	0.000	0.948	0.052
rs10877792 lBF = `0.0340903` Chr`12` : `62,503,621`	0.000	0.948	0.051
rs1444250 lBF = `0.0341945` Chr`12` : `62,501,174`	0.000	0.949	0.051
rs12579846 lBF = `0.0352511` Chr`12` : `62,509,328`	0.000	0.949	0.051
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.047	0.953	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.044	0.956	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.043	0.956	0.000
rs1265564 lBF = `58.6971` Chr`12` : `111,708,458`	0.000	0.960	0.040
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.039	0.961	0.001
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.038	0.961	0.000
rs77206607 lBF = `0.0407578` Chr`12` : `126,554,363`	0.034	0.965	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.034	0.966	0.000
rs148621641 lBF = `0.0227733` Chr`12` : `78,772,439`	0.033	0.967	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.032	0.967	0.001
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.032	0.968	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.032	0.968	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.031	0.969	0.001
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.031	0.969	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.031	0.969	0.000
rs10744782 lBF = `6.85869` Chr`12` : `113,166,569`	0.000	0.969	0.031
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.027	0.973	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.027	0.973	0.000
rs2301756 lBF = `7.47329` Chr`12` : `112,890,776`	0.025	0.975	0.000
rs10744777 lBF = `24.8672` Chr`12` : `112,233,018`	0.024	0.976	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.023	0.976	0.000
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rs12300553 lBF = `0` Chr`12` : `15,381,210`	0.001	0.999	0.001
rs143053231 lBF = `0` Chr`12` : `56,091,032`	0.001	0.999	0.001
rs3782886 lBF = `0` Chr`12` : `112,110,489`	0.001	0.999	0.001
rs137948794 lBF = `0` Chr`12` : `56,408,314`	0.001	0.999	0.001
rs10846617 lBF = `0` Chr`12` : `124,662,131`	0.001	0.999	0.001
rs191413231 lBF = `0` Chr`12` : `13,630,602`	0.001	0.999	0.001
rs4764124 lBF = `0` Chr`12` : `14,966,604`	0.001	0.999	0.001
rs191000678 lBF = `0` Chr`12` : `28,286,990`	0.001	0.999	0.001
rs2072134 lBF = `0` Chr`12` : `113,409,176`	0.001	0.999	0.001
rs111696067 lBF = `0` Chr`12` : `133,376,540`	0.001	0.999	0.001
rs139337462 lBF = `0` Chr`12` : `29,984,300`	0.001	0.999	0.001
rs671 lBF = `0` Chr`12` : `112,241,766`	0.001	0.999	0.001
rs185216905 lBF = `0` Chr`12` : `125,087,192`	0.001	0.999	0.001
rs17415853 lBF = `0` Chr`12` : `15,930,805`	0.001	0.999	0.001
rs182272664 lBF = `0` Chr`12` : `22,464,940`	0.001	0.999	0.001
rs193047854 lBF = `0` Chr`12` : `56,274,155`	0.001	0.999	0.001
rs11174436 lBF = `0` Chr`12` : `62,743,348`	0.001	0.999	0.001
rs2188380 lBF = `0` Chr`12` : `111,386,127`	0.001	0.999	0.001
rs12311304 lBF = `0` Chr`12` : `15,389,637`	0.001	0.999	0.001
rs2271266 lBF = `0` Chr`12` : `102,506,044`	0.001	0.999	0.001
rs192568883 lBF = `0` Chr`12` : `107,606,126`	0.001	0.999	0.001
rs34778348 lBF = `0` Chr`12` : `40,757,328`	0.001	0.999	0.001
rs10859567 lBF = `2.9515` Chr`12` : `94,126,925`	0.001	0.999	0.000
rs11833289 lBF = `-0.00000351` Chr`12` : `55,451,694`	0.001	0.999	0.000
rs8179116 lBF = `-0.00001761` Chr`12` : `109,025,427`	0.000	0.999	0.001
rs189340018 lBF = `-0.00002107` Chr`12` : `107,628,680`	0.001	0.999	0.000
rs150696478 lBF = `-0.0000275` Chr`12` : `86,321,388`	0.000	0.999	0.001
rs147510300 lBF = `-0.0000275` Chr`12` : `86,318,548`	0.000	0.999	0.001
rs12229654 lBF = `-0.00004675` Chr`12` : `111,414,461`	0.001	0.999	0.000
rs3026485 lBF = `-0.00004701` Chr`12` : `110,782,027`	0.000	0.999	0.001
rs6538140 lBF = `-0.057647` Chr`12` : `77,738,005`	0.000	0.999	0.001
rs4965006 lBF = `-0.0730645` Chr`12` : `132,419,533`	0.001	0.999	0.000
rs4761470 lBF = `-0.0801192` Chr`12` : `94,683,204`	0.001	0.999	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.001	0.999	0.000
rs1716403 lBF = `0.583299` Chr`12` : `124,519,846`	0.001	0.999	0.000
rs144148493 lBF = `0.015726` Chr`12` : `87,360,221`	0.001	0.999	0.000
rs11178918 lBF = `-0.0266819` Chr`12` : `72,125,285`	0.000	0.999	0.001
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.001	0.999	0.000
rs193153567 lBF = `-0.00029294` Chr`12` : `48,946,231`	0.001	0.999	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.001	0.999	0.000
rs4251424 lBF = `-0.00048778` Chr`12` : `44,153,826`	0.001	0.999	0.000
rs2908835 lBF = `-0.0826364` Chr`12` : `11,648,418`	0.001	0.999	0.000
rs499368 lBF = `-0.00108169` Chr`12` : `320,920`	0.001	0.999	0.000
rs4764043 lBF = `-0.0199619` Chr`12` : `14,115,482`	0.000	0.999	0.001
rs112673195 lBF = `-0.0450064` Chr`12` : `32,061,453`	0.001	0.999	0.000
rs118067775 lBF = `-0.0257691` Chr`12` : `49,072,794`	0.001	0.999	0.000
rs4554975 lBF = `-0.0638751` Chr`12` : `47,201,814`	0.000	0.999	0.001
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.001	0.999	0.000
rs4767631 lBF = `0.951209` Chr`12` : `118,311,743`	0.001	0.999	0.000
rs7975161 lBF = `0.00010709` Chr`12` : `104,645,405`	0.000	0.999	0.001
rs16926789 lBF = `-0.0139818` Chr`12` : `24,006,406`	0.000	0.999	0.001
rs183244340 lBF = `0.0050197` Chr`12` : `87,005,576`	0.001	0.999	0.000
rs1005902 lBF = `5.81327` Chr`12` : `112,667,675`	0.000	0.999	0.001
rs2285810 lBF = `5.79517` Chr`12` : `112,699,540`	0.000	0.999	0.001
rs187607716 lBF = `0.281898` Chr`12` : `91,487,517`	0.001	0.999	0.000
rs871392 lBF = `0.133655` Chr`12` : `42,171,982`	0.001	0.999	0.000
rs186879571 lBF = `0.0106335` Chr`12` : `128,652,831`	0.000	0.999	0.000
rs2657880 lBF = `0.0100386` Chr`12` : `56,863,770`	0.001	0.999	0.000
rs17108344 lBF = `-0.00155388` Chr`12` : `70,954,464`	0.000	0.999	0.000
rs187039407 lBF = `0.0120709` Chr`12` : `87,341,774`	0.001	0.999	0.000
rs140785266 lBF = `0.00305033` Chr`12` : `86,195,923`	0.000	0.999	0.000
rs10859563 lBF = `2.0749` Chr`12` : `94,120,339`	0.001	0.999	0.000
rs2306677 lBF = `0.0169287` Chr`12` : `26,636,386`	0.001	0.999	0.000
rs678069 lBF = `-0.0175837` Chr`12` : `53,102,196`	0.001	0.999	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.001	0.999	0.000
rs300489 lBF = `-0.0505258` Chr`12` : `78,485,994`	0.000	0.999	0.001
rs10860964 lBF = `-0.0515588` Chr`12` : `103,596,455`	0.000	0.999	0.001
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.000	0.999	0.001
rs4767364 lBF = `7.03532` Chr`12` : `112,521,448`	0.000	0.999	0.001
rs1187415 lBF = `0.0452157` Chr`12` : `124,491,529`	0.001	0.999	0.000
rs76177788 lBF = `0.0120066` Chr`12` : `86,544,239`	0.000	0.999	0.000
rs79843055 lBF = `0.00066378` Chr`12` : `86,284,459`	0.000	0.999	0.001
rs12229918 lBF = `-0.0375991` Chr`12` : `65,762,058`	0.000	0.999	0.001
rs4765219 lBF = `0.040318` Chr`12` : `124,440,110`	0.000	0.999	0.001
rs77628219 lBF = `0.0129624` Chr`12` : `87,404,130`	0.000	0.999	0.000
rs2657879 lBF = `0.00817662` Chr`12` : `56,865,338`	0.001	0.999	0.000
rs7312774 lBF = `0.00218812` Chr`12` : `107,305,728`	0.000	0.999	0.001
rs17095830 lBF = `-0.0101787` Chr`12` : `45,774,908`	0.001	0.999	0.000
rs1727313 lBF = `4.61449` Chr`12` : `123,640,853`	0.000	0.999	0.001
rs3217869 lBF = `-0.0683455` Chr`12` : `4,399,970`	0.001	0.999	0.000
rs2384207 lBF = `0.154401` Chr`12` : `113,607,502`	0.000	0.999	0.001
rs4765127 lBF = `0.0917225` Chr`12` : `124,460,167`	0.000	0.999	0.001
rs1491942 lBF = `0.0473085` Chr`12` : `40,620,808`	0.001	0.999	0.000
rs10770705 lBF = `0.0261729` Chr`12` : `20,857,467`	0.001	0.999	0.000
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.000	0.999	0.000
rs11051970 lBF = `-0.0374522` Chr`12` : `32,537,488`	0.001	0.999	0.000
rs76904798 lBF = `0.123963` Chr`12` : `40,614,434`	0.001	0.999	0.000
rs11047102 lBF = `0.427704` Chr`12` : `23,946,146`	0.000	0.999	0.001
rs142054194 lBF = `0.0063675` Chr`12` : `86,864,240`	0.000	0.999	0.000
rs2655898 lBF = `0.00553475` Chr`12` : `60,810,652`	0.000	0.999	0.001
rs10861905 lBF = `-0.0137031` Chr`12` : `108,767,333`	0.000	0.999	0.000
rs2292239 lBF = `5.37127` Chr`12` : `56,482,180`	0.000	0.999	0.001
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.001	0.999	0.000
rs10784285 lBF = `0.518979` Chr`12` : `62,558,314`	0.001	0.999	0.000
rs140444490 lBF = `0.00607512` Chr`12` : `86,860,976`	0.000	0.999	0.000
rs11610782 lBF = `0.575475` Chr`12` : `126,196,289`	0.000	0.999	0.001
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

0.9753

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7166

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5352

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9989

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9947

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9927

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9851

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9809

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9801

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9773

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9741

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9737

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9728

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9687

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9643

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9640

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9579

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9561

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9559

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9483

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9462

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9424

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9357

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9336

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9297

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9228

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9123

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9108

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8961

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8957

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8930

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8905

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8725

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8680

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8571

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8569

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8555

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8554

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8553

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8458

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8413

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8388

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8378

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8295

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8284

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8060

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7952

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7934

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7827

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7819

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7740

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7728

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7708

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7684

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7579

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7563

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7523

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7511

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7430

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7392

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7390

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7202

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7156

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7129

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6929

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6896

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6855

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6814

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6773

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6757

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.6652

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6636

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6618

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6530

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6529

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6525

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6503

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6355

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6334

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6329

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6203

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6157

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5833

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.5813

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5747

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5742

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5606

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5017

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4980

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4948

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4759

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4530

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4513

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4456

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3967

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3921

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3875

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3523

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3517

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3157

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2978

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2915

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2692

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2612

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2578

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2555

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2542

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2510

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2366

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2088

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1683

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1652

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1570

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1509

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1344

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1301

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1207

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1082

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1041

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1027

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0836

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0816

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0804

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0726

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0679

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0660

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0593

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0560

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`)