TreeWAS – [C83.3] Large cell (diffuse)

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
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.910	0.090	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.855	0.145	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.853	0.147	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.827	0.173	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.818	0.182	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.743	0.257	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.732	0.268	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.725	0.275	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.720	0.280	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.711	0.289	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.690	0.309	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.690	0.310	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.677	0.322	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.646	0.354	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.634	0.366	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.631	0.369	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.613	0.387	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.613	0.387	0.000
rs61921073 lBF = `6.44028` Chr`12` : `30,660,861`	0.604	0.396	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.584	0.416	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.582	0.418	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.582	0.418	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.557	0.442	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.553	0.446	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.522	0.478	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.521	0.479	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.481	0.519	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.465	0.535	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.456	0.544	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.449	0.551	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.442	0.558	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.439	0.561	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.426	0.574	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.418	0.582	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.416	0.584	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.414	0.586	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.413	0.586	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.410	0.590	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.403	0.597	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.399	0.601	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.397	0.603	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.392	0.608	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.390	0.610	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.390	0.610	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.385	0.615	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.380	0.619	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.377	0.623	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.377	0.623	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.364	0.635	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.364	0.636	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.362	0.638	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.359	0.640	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.359	0.641	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.356	0.644	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.352	0.647	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.350	0.650	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.347	0.653	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.343	0.656	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.343	0.657	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.322	0.678	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.320	0.680	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.319	0.681	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.317	0.683	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.304	0.696	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.304	0.696	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.303	0.697	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.302	0.698	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.301	0.699	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.301	0.699	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.298	0.701	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.294	0.706	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.283	0.717	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.282	0.717	0.000
rs7310615 lBF = `134.377` Chr`12` : `111,865,049`	0.278	0.722	0.000
rs4766578 lBF = `133.156` Chr`12` : `111,904,371`	0.278	0.722	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.275	0.724	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.275	0.724	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.274	0.726	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.273	0.726	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.272	0.727	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.269	0.731	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.263	0.737	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.263	0.737	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.262	0.738	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.259	0.741	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.254	0.745	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.248	0.752	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.244	0.756	0.000
rs10774624 lBF = `108.174` Chr`12` : `111,833,788`	0.243	0.757	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.242	0.758	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.241	0.759	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.240	0.759	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.240	0.760	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.238	0.761	0.001
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.236	0.764	0.001
rs3184504 lBF = `147.788` Chr`12` : `111,884,608`	0.000	0.769	0.231
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.231	0.769	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.226	0.773	0.000
rs10774625 lBF = `134.733` Chr`12` : `111,910,219`	0.000	0.776	0.224
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.222	0.778	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.220	0.779	0.001
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.219	0.781	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.216	0.784	0.000
rs653178 lBF = `141.209` Chr`12` : `112,007,756`	0.000	0.786	0.214
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.211	0.789	0.000
rs7307780 lBF = `0.176028` Chr`12` : `76,220,618`	0.210	0.790	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.208	0.791	0.001
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.207	0.793	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.202	0.798	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.200	0.800	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.198	0.802	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.197	0.803	0.001
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.197	0.803	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.196	0.804	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.194	0.806	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.192	0.807	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.189	0.811	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.189	0.811	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.186	0.814	0.001
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.185	0.814	0.001
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.185	0.815	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.181	0.818	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.181	0.819	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.178	0.822	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.177	0.823	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.173	0.826	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.166	0.834	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.164	0.835	0.001
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.163	0.836	0.001
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.152	0.847	0.001
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.139	0.860	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.128	0.871	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.125	0.875	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.124	0.876	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	0.876	0.124
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.120	0.879	0.001
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.116	0.884	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.116	0.884	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.115	0.884	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.114	0.886	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.114	0.886	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.109	0.890	0.001
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.109	0.890	0.001
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.107	0.893	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.107	0.893	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.103	0.896	0.001
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.102	0.898	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.096	0.904	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.907	0.093
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.088	0.912	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.086	0.914	0.001
rs76859191 lBF = `0.57087` Chr`12` : `114,545,274`	0.086	0.914	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.085	0.915	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.081	0.918	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.078	0.922	0.000
rs11058488 lBF = `0.0657132` Chr`12` : `126,551,205`	0.071	0.929	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.070	0.930	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.069	0.931	0.000
rs11170468 lBF = `0.160275` Chr`12` : `39,430,048`	0.068	0.932	0.000
rs7973572 lBF = `0.0461244` Chr`12` : `24,289,366`	0.067	0.933	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.061	0.939	0.000
rs2272046 lBF = `0.0593854` Chr`12` : `66,224,461`	0.060	0.940	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.057	0.943	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.056	0.943	0.001
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.056	0.944	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.050	0.950	0.000
rs11108495 lBF = `0.0259079` Chr`12` : `96,807,917`	0.048	0.952	0.000
rs77206607 lBF = `0.0407578` Chr`12` : `126,554,363`	0.047	0.953	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.046	0.954	0.000
rs7964407 lBF = `0.858826` Chr`12` : `28,192,989`	0.000	0.955	0.045
rs111969502 lBF = `5.3967` Chr`12` : `59,848,381`	0.045	0.955	0.000
rs10744777 lBF = `24.8672` Chr`12` : `112,233,018`	0.044	0.956	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.043	0.957	0.000
rs7979575 lBF = `-0.0500969` Chr`12` : `24,278,821`	0.040	0.960	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.040	0.960	0.001
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.035	0.964	0.001
rs6486986 lBF = `0.0328778` Chr`12` : `19,801,595`	0.000	0.967	0.033
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.032	0.968	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.029	0.971	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.028	0.972	0.000
rs4761097 lBF = `-0.0568683` Chr`12` : `85,187,511`	0.028	0.972	0.000
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.027	0.973	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.026	0.974	0.000
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.026	0.974	0.001
rs7979673 lBF = `0.00145938` Chr`12` : `66,227,257`	0.026	0.974	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.024	0.976	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.023	0.976	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.022	0.977	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.000	0.978	0.022
rs10841530 lBF = `-0.0577157` Chr`12` : `20,599,112`	0.021	0.979	0.000
rs2069408 lBF = `3.65308` Chr`12` : `56,364,321`	0.000	0.979	0.021
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.020	0.979	0.000
rs2887571 lBF = `-0.0393338` Chr`12` : `1,638,171`	0.020	0.980	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.019	0.981	0.000
rs11174812 lBF = `-0.0137106` Chr`12` : `40,425,087`	0.000	0.981	0.019
rs1564892 lBF = `0.0825706` Chr`12` : `104,445,742`	0.019	0.981	0.000
rs2384207 lBF = `0.154401` Chr`12` : `113,607,502`	0.019	0.981	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.018	0.981	0.001
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.017	0.982	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.000	0.982	0.018
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.017	0.983	0.000
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rs297941 lBF = `-0.0641366` Chr`12` : `50,319,086`	0.001	0.999	0.000
rs11610873 lBF = `-0.0107365` Chr`12` : `106,955,544`	0.000	0.999	0.001
rs7312774 lBF = `0.00218812` Chr`12` : `107,305,728`	0.001	0.999	0.000
rs181697701 lBF = `0.00035088` Chr`12` : `107,611,050`	0.001	0.999	0.000
rs2900333 lBF = `-0.0623726` Chr`12` : `14,653,867`	0.001	0.999	0.000
rs187035304 lBF = `0.00715419` Chr`12` : `87,229,742`	0.001	0.999	0.000
rs10744391 lBF = `-0.0553772` Chr`12` : `129,324,938`	0.000	0.999	0.001
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.001	0.999	0.000
rs735396 lBF = `11.5976` Chr`12` : `121,438,844`	0.000	0.999	0.001
rs10784285 lBF = `0.518979` Chr`12` : `62,558,314`	0.000	0.999	0.001
rs12304921 lBF = `-0.00652912` Chr`12` : `51,357,542`	0.000	0.999	0.001
rs2122661 lBF = `-0.106534` Chr`12` : `98,024,655`	0.000	0.999	0.001
rs312274 lBF = `-0.0216138` Chr`12` : `41,246,280`	0.001	0.999	0.000
rs150828104 lBF = `0.860743` Chr`12` : `116,775,695`	0.001	0.999	0.000
rs2289936 lBF = `0.0676215` Chr`12` : `65,471,467`	0.001	0.999	0.000
rs1491942 lBF = `0.0473085` Chr`12` : `40,620,808`	0.001	0.999	0.000
rs2268118 lBF = `-0.0181373` Chr`12` : `13,872,044`	0.000	0.999	0.001
rs2120991 lBF = `-0.0505507` Chr`12` : `54,270,228`	0.001	0.999	0.000
rs12316797 lBF = `1.37316` Chr`12` : `43,160,744`	0.001	0.999	0.000
rs12296937 lBF = `-0.00832408` Chr`12` : `81,494,252`	0.000	0.999	0.001
rs3782724 lBF = `0.0398054` Chr`12` : `6,466,081`	0.000	0.999	0.001
rs61941274 lBF = `0.00529695` Chr`12` : `112,132,610`	0.001	0.999	0.000
rs2041895 lBF = `-0.0919575` Chr`12` : `107,350,088`	0.001	0.999	0.000
rs2629751 lBF = `-0.0841816` Chr`12` : `104,421,808`	0.000	0.999	0.001
rs1971762 lBF = `0.0194533` Chr`12` : `54,058,238`	0.000	0.999	0.001
rs184699315 lBF = `0.00049337` Chr`12` : `71,650,779`	0.001	0.999	0.000
rs11048674 lBF = `0.0003458` Chr`12` : `26,912,719`	0.001	0.999	0.000
rs1677894 lBF = `0.13308` Chr`12` : `78,337,936`	0.001	0.999	0.000
rs74377925 lBF = `0.0293844` Chr`12` : `16,699,250`	0.001	0.999	0.000
rs5744897 lBF = `-0.0381325` Chr`12` : `133,226,831`	0.001	0.999	0.001
rs885389 lBF = `0.0604974` Chr`12` : `131,621,762`	0.000	0.999	0.001
rs11110077 lBF = `0.318826` Chr`12` : `100,266,113`	0.001	0.999	0.000
rs276000 lBF = `0.00046952` Chr`12` : `59,849,677`	0.001	0.999	0.000
rs2669010 lBF = `-0.0393926` Chr`12` : `77,009,060`	0.000	0.999	0.001
rs17184007 lBF = `-0.0163909` Chr`12` : `67,594,578`	0.001	0.999	0.000
rs11610206 lBF = `-0.0174895` Chr`12` : `47,639,526`	0.000	0.999	0.001
rs1169314 lBF = `9.37742` Chr`12` : `121,443,116`	0.000	0.999	0.001
rs12826178 lBF = `0.0886157` Chr`12` : `57,622,371`	0.001	0.999	0.000
rs11104268 lBF = `0.0582113` Chr`12` : `76,627,445`	0.001	0.999	0.000
rs4298948 lBF = `0.0247646` Chr`12` : `122,276,255`	0.001	0.999	0.000
rs1878022 lBF = `-0.0729913` Chr`12` : `108,699,032`	0.000	0.999	0.001
rs2292239 lBF = `5.37127` Chr`12` : `56,482,180`	0.000	0.999	0.001
rs2128614 lBF = `-0.0175487` Chr`12` : `31,998,994`	0.000	0.999	0.001
rs2302729 lBF = `-0.0248168` Chr`12` : `2,783,972`	0.000	0.999	0.001
rs6538761 lBF = `-0.123452` Chr`12` : `97,434,220`	0.001	0.999	0.000
rs1385374 lBF = `0.0163696` Chr`12` : `129,300,694`	0.001	0.999	0.000
rs7974425 lBF = `0.00058097` Chr`12` : `60,735,173`	0.001	0.999	0.000
rs12827476 lBF = `-0.0668106` Chr`12` : `4,305,883`	0.000	0.999	0.001
rs11059919 lBF = `0.0618` Chr`12` : `129,289,190`	0.000	0.999	0.001
rs147538848 lBF = `0.0001142` Chr`12` : `31,466,613`	0.001	0.999	0.000
rs1424609 lBF = `0.0963216` Chr`12` : `116,163,432`	0.000	0.999	0.001
rs2870946 lBF = `0.0641534` Chr`12` : `68,596,661`	0.001	0.999	0.000
rs1169310 lBF = `9.92009` Chr`12` : `121,439,433`	0.000	0.999	0.001
rs2264750 lBF = `9.22565` Chr`12` : `121,450,165`	0.000	0.999	0.001
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.000	0.999	0.001
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.001	0.999	0.000
rs2066808 lBF = `0.103548` Chr`12` : `56,737,973`	0.000	0.999	0.001
rs147616082 lBF = `0.00023933` Chr`12` : `67,181,789`	0.001	0.999	0.000
rs118067775 lBF = `-0.0257691` Chr`12` : `49,072,794`	0.001	0.999	0.000
rs7969151 lBF = `-0.0712167` Chr`12` : `54,159,277`	0.000	0.999	0.001
rs12371778 lBF = `3.95458` Chr`12` : `28,156,081`	0.000	0.999	0.001
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.001	0.999	0.000
rs2229774 lBF = `0.221118` Chr`12` : `53,605,545`	0.001	0.999	0.000
rs12425791 lBF = `0.00041025` Chr`12` : `783,484`	0.001	0.999	0.000
rs7137515 lBF = `-0.0016887` Chr`12` : `82,462,226`	0.000	0.999	0.001
rs117483990 lBF = `-0.00680357` Chr`12` : `90,224,714`	0.001	0.999	0.000
rs3851634 lBF = `0.251102` Chr`12` : `106,812,902`	0.001	0.999	0.000
rs2066819 lBF = `0.0817399` Chr`12` : `56,750,204`	0.000	0.999	0.001
rs12423382 lBF = `0.0000625` Chr`12` : `16,179,371`	0.001	0.999	0.000
rs11066280 lBF = `0.00004018` Chr`12` : `112,817,783`	0.001	0.999	0.001
rs78852656 lBF = `0.00003558` Chr`12` : `119,619,997`	0.001	0.999	0.000
rs12302829 lBF = `0.00003088` Chr`12` : `5,140,484`	0.001	0.999	0.000
rs190262953 lBF = `0.00001109` Chr`12` : `91,825,974`	0.001	0.999	0.000
rs12582168 lBF = `0` Chr`12` : `124,894,184`	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
rs3782886 lBF = `0` Chr`12` : `112,110,489`	0.001	0.999	0.001
rs34778348 lBF = `0` Chr`12` : `40,757,328`	0.001	0.999	0.001
rs10846617 lBF = `0` Chr`12` : `124,662,131`	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
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
rs143980687 lBF = `0` Chr`12` : `1,661,608`	0.001	0.999	0.001
rs4542491 lBF = `0` Chr`12` : `82,536,844`	0.001	0.999	0.001
rs7956634 lBF = `0` Chr`12` : `15,321,194`	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
rs188585019 lBF = `0` Chr`12` : `86,564,926`	0.001	0.999	0.001
rs151326733 lBF = `0` Chr`12` : `16,189,478`	0.001	0.999	0.001
rs141955301 lBF = `0` Chr`12` : `2,358,738`	0.001	0.999	0.001
rs2188380 lBF = `0` Chr`12` : `111,386,127`	0.001	0.999	0.001
rs138037897 lBF = `0` Chr`12` : `29,985,498`	0.001	0.999	0.001
rs192568883 lBF = `0` Chr`12` : `107,606,126`	0.001	0.999	0.001
rs139427007 lBF = `0` Chr`12` : `97,596,103`	0.001	0.999	0.001
rs182408739 lBF = `0` Chr`12` : `65,726,649`	0.001	0.999	0.001
rs146978549 lBF = `0` Chr`12` : `17,049,912`	0.001	0.999	0.001
rs1809889 lBF = `0` Chr`12` : `124,801,226`	0.001	0.999	0.001
rs183884080 lBF = `0` Chr`12` : `68,621,977`	0.001	0.999	0.001

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

0.1069

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9984

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9980

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9976

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9972

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9914

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9910

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9882

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9854

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9819

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9794

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9778

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9688

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9439

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9395

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9359

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9349

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9216

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9066

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9037

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8818

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8789

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8752

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8647

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8641

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8616

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8526

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8459

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8403

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8389

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8346

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8337

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8128

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8054

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7965

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7888

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7849

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7765

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7603

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7390

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7367

Cluster X0272

log Bayes Factor = 22.1927

contains 2 variants

0.7307

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7256

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7066

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6896

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6871

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6853

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6817

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6717

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6639

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6608

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6426

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6188

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6100

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6087

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6084

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6063

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6013

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5961

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5680

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5585

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5519

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5300

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5157

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5151

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5050

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4947

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4873

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4819

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4807

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4793

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4718

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4569

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4520

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4449

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4318

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4274

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4213

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4134

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4041

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3972

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3966

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3794

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3730

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3662

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3649

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3554

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3358

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3147

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2979

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2949

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2775

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2771

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2530

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2515

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2467

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2417

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2374

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2354

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2350

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2327

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2310

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2242

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2212

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2109

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2070

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2065

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2038

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2029

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2001

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1919

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1871

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1848

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1786

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1723

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1684

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1659

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1545

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.1481

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1293

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1274

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1266

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1183

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1178

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1158

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1145

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1135

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1095

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1076

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1053

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1014

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0922

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0921

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0884

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0817

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0791

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0790

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0787

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0664

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0620

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0576

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0553

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0552

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0547

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0502

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`)