TreeWAS – [D36] Benign neoplasm of other and unspecified sites

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Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

D36

Benign neoplasm of other and unspecified sites

Parent term	D10-D36 Benign neoplasms
Nested terms	D36.0 Lymph nodes D36.1 Peripheral nerves and autonomic nervous system D36.7 Other specified sites D36.9 Benign neoplasm of unspecified site

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Variant effects

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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
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.800	0.200	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.790	0.210	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.748	0.252	0.000
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.735	0.265	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.700	0.300	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.698	0.301	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.682	0.318	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.680	0.320	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.670	0.330	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.670	0.330	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.666	0.333	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.654	0.346	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.642	0.358	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.641	0.359	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.638	0.362	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.624	0.376	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.622	0.377	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.618	0.382	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.603	0.397	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.599	0.401	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.594	0.405	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.590	0.410	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.589	0.411	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.585	0.415	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.584	0.416	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.568	0.432	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.553	0.447	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.552	0.448	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.548	0.452	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.548	0.452	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.532	0.468	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.529	0.471	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.523	0.477	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.512	0.487	0.001
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.513	0.487	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.511	0.489	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.490	0.510	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.490	0.510	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.487	0.513	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.483	0.517	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.478	0.522	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.469	0.531	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.465	0.535	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.460	0.540	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.460	0.540	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.457	0.543	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.440	0.560	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.440	0.560	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.438	0.562	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.425	0.574	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.395	0.605	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.374	0.626	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.370	0.630	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.360	0.639	0.001
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.343	0.657	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.343	0.657	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.332	0.668	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.332	0.668	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.288	0.712	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.276	0.724	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.272	0.728	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.261	0.739	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.249	0.750	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.243	0.757	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.226	0.774	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.223	0.776	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.216	0.783	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.211	0.789	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.210	0.790	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.177	0.822	0.000
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.176	0.824	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.170	0.829	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.170	0.830	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.163	0.837	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.158	0.842	0.000
rs11066301 lBF = `73.3256` Chr`12` : `112,871,372`	0.000	0.843	0.157
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.145	0.855	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.144	0.856	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.141	0.859	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.140	0.859	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.139	0.861	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.137	0.862	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.136	0.864	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.136	0.864	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.134	0.866	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.124	0.875	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.123	0.876	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.119	0.881	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.115	0.885	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.000	0.886	0.114
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.111	0.889	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.892	0.108
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.106	0.894	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.100	0.900	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.098	0.902	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.096	0.904	0.000
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.088	0.912	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.083	0.917	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.081	0.919	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.078	0.922	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.075	0.925	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.075	0.925	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.074	0.926	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.069	0.931	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.069	0.931	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.068	0.932	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.062	0.938	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.055	0.944	0.000
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.055	0.945	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.053	0.947	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.053	0.947	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.049	0.951	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.047	0.952	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.044	0.955	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.043	0.957	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.042	0.958	0.000
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.041	0.959	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.000	0.960	0.040
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.039	0.961	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.000	0.961	0.039
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.039	0.961	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.035	0.965	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.031	0.969	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.029	0.971	0.000
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.028	0.971	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.028	0.972	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.027	0.973	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.025	0.975	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.025	0.975	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.025	0.975	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.024	0.975	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.024	0.976	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.022	0.978	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.021	0.978	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.020	0.980	0.000
rs4357753 lBF = `5.99351` Chr`12` : `112,740,709`	0.020	0.980	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.019	0.981	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.019	0.981	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.018	0.982	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.018	0.982	0.000
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.017	0.983	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.017	0.983	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.016	0.983	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.016	0.984	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.015	0.985	0.000
rs10849033 lBF = `0.0184301` Chr`12` : `4,425,122`	0.015	0.985	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.014	0.986	0.000
rs142494129 lBF = `0.0386533` Chr`12` : `95,161,353`	0.013	0.986	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.013	0.987	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.012	0.988	0.000
rs76859191 lBF = `0.57087` Chr`12` : `114,545,274`	0.012	0.988	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.011	0.988	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.011	0.989	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.010	0.990	0.000
rs58116261 lBF = `8.77788` Chr`12` : `112,935,344`	0.010	0.990	0.000
rs12816806 lBF = `-0.0731715` Chr`12` : `114,248,191`	0.000	0.991	0.009
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.009	0.991	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.009	0.991	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.009	0.991	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.009	0.991	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.008	0.991	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.008	0.992	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.008	0.992	0.000
rs117585797 lBF = `0.0205785` Chr`12` : `6,011,490`	0.008	0.992	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.007	0.993	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.006	0.994	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.006	0.994	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.006	0.994	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.006	0.994	0.000
rs186586221 lBF = `0.00794423` Chr`12` : `75,574,323`	0.005	0.995	0.000
rs7979673 lBF = `0.00145938` Chr`12` : `66,227,257`	0.005	0.995	0.000
rs11175194 lBF = `-0.0229417` Chr`12` : `64,264,837`	0.005	0.995	0.000
rs16923647 lBF = `-0.0674625` Chr`12` : `21,451,395`	0.000	0.995	0.005
rs183032784 lBF = `0.00474184` Chr`12` : `118,257,214`	0.005	0.995	0.000
rs55922880 lBF = `0.00435799` Chr`12` : `115,617,641`	0.005	0.995	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.004	0.996	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.004	0.996	0.000
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.996	0.004
rs11180992 lBF = `0.0137073` Chr`12` : `41,940,664`	0.004	0.996	0.000
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.004	0.996	0.000
rs1385374 lBF = `0.0163696` Chr`12` : `129,300,694`	0.004	0.996	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.004	0.996	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.004	0.996	0.000
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.004	0.996	0.000
rs703556 lBF = `0.0322573` Chr`12` : `103,011,894`	0.003	0.996	0.000
rs190909796 lBF = `0.00805551` Chr`12` : `80,474,682`	0.003	0.996	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.003	0.996	0.000
rs1727313 lBF = `4.61449` Chr`12` : `123,640,853`	0.004	0.996	0.000
rs181947843 lBF = `0.00335065` Chr`12` : `108,547,387`	0.003	0.997	0.000
rs76582905 lBF = `0.00276703` Chr`12` : `130,466,631`	0.003	0.997	0.000
rs4149056 lBF = `-0.0420678` Chr`12` : `21,331,549`	0.000	0.997	0.003
rs148621641 lBF = `0.0227733` Chr`12` : `78,772,439`	0.003	0.997	0.000
rs10506328 lBF = `-0.0563244` Chr`12` : `54,687,232`	0.000	0.997	0.003
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.997	0.003
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.003	0.997	0.000
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.003	0.997	0.000
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.003	0.997	0.000
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rs11176749 lBF = `-0.00845982` Chr`12` : `67,852,784`	0.001	0.999	0.000
rs150516896 lBF = `-0.0114489` Chr`12` : `68,955,572`	0.000	0.999	0.000
rs1718309 lBF = `-0.0537091` Chr`12` : `103,242,396`	0.000	0.999	0.001
rs17101923 lBF = `-0.0609363` Chr`12` : `66,338,202`	0.001	0.999	0.000
rs2908835 lBF = `-0.0826364` Chr`12` : `11,648,418`	0.001	0.999	0.000
rs12367572 lBF = `-0.0918376` Chr`12` : `45,290,466`	0.001	0.999	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.001	0.999	0.000
rs140444490 lBF = `0.00607512` Chr`12` : `86,860,976`	0.000	0.999	0.000
rs116075389 lBF = `-0.0115206` Chr`12` : `68,957,164`	0.000	0.999	0.000
rs11104688 lBF = `-0.023701` Chr`12` : `88,354,523`	0.001	0.999	0.000
rs11613092 lBF = `-0.048634` Chr`12` : `118,893,248`	0.000	0.999	0.001
rs17719439 lBF = `0.392579` Chr`12` : `116,211,863`	0.000	0.999	0.000
rs939876 lBF = `0.0093031` Chr`12` : `65,252,118`	0.000	0.999	0.000
rs114588203 lBF = `-0.0114496` Chr`12` : `68,956,185`	0.000	0.999	0.000
rs10505725 lBF = `-0.0339208` Chr`12` : `2,056,363`	0.001	0.999	0.000
rs10850409 lBF = `-0.0977622` Chr`12` : `115,381,740`	0.001	0.999	0.000
rs17096606 lBF = `36.0164` Chr`12` : `38,532,743`	0.000	0.999	0.000
rs708224 lBF = `0.158702` Chr`12` : `32,436,409`	0.000	0.999	0.000
rs12369635 lBF = `0.0404365` Chr`12` : `129,561,356`	0.001	0.999	0.000
rs2052678 lBF = `0.0263995` Chr`12` : `29,833,329`	0.000	0.999	0.001
rs140785266 lBF = `0.00305033` Chr`12` : `86,195,923`	0.000	0.999	0.000
rs4883201 lBF = `-0.0580715` Chr`12` : `9,082,581`	0.000	0.999	0.001
rs11045000 lBF = `7.56762` Chr`12` : `20,184,146`	0.000	0.999	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.000	0.999	0.000
rs6490294 lBF = `5.12935` Chr`12` : `112,190,438`	0.000	0.999	0.000
rs2071449 lBF = `2.15334` Chr`12` : `54,428,011`	0.000	0.999	0.000
rs137949660 lBF = `0.0004879` Chr`12` : `117,933,500`	0.000	0.999	0.000
rs2007044 lBF = `-0.00338348` Chr`12` : `2,344,960`	0.000	0.999	0.000
rs7968324 lBF = `-0.0150708` Chr`12` : `59,066,580`	0.000	0.999	0.000
rs2403106 lBF = `-0.0508285` Chr`12` : `84,008,275`	0.000	0.999	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.000	1.000	0.000
rs627308 lBF = `6.30299` Chr`12` : `112,146,555`	0.000	1.000	0.000
rs11830103 lBF = `3.33187` Chr`12` : `123,823,546`	0.000	1.000	0.000
rs118009632 lBF = `0.732821` Chr`12` : `54,959,672`	0.000	1.000	0.000
rs10507047 lBF = `0.0963894` Chr`12` : `95,604,290`	0.000	1.000	0.000
rs2110166 lBF = `0.013679` Chr`12` : `5,751,342`	0.000	1.000	0.000
rs7312774 lBF = `0.00218812` Chr`12` : `107,305,728`	0.000	1.000	0.000
rs79843055 lBF = `0.00066378` Chr`12` : `86,284,459`	0.000	1.000	0.000
rs4761470 lBF = `-0.0801192` Chr`12` : `94,683,204`	0.000	1.000	0.000
rs10774613 lBF = `10.8225` Chr`12` : `111,546,165`	0.000	1.000	0.000
rs17466626 lBF = `0.0332799` Chr`12` : `40,760,631`	0.000	1.000	0.000
rs11113894 lBF = `-0.0231673` Chr`12` : `108,841,863`	0.000	1.000	0.000
rs297941 lBF = `-0.0641366` Chr`12` : `50,319,086`	0.000	1.000	0.000
rs1545843 lBF = `-0.10568` Chr`12` : `84,564,068`	0.000	1.000	0.000
rs12815613 lBF = `-0.107416` Chr`12` : `121,407,256`	0.000	1.000	0.000
rs886205 lBF = `6.08279` Chr`12` : `112,204,427`	0.000	1.000	0.000
rs2066938 lBF = `0.122999` Chr`12` : `121,160,615`	0.000	1.000	0.000
rs12296937 lBF = `-0.00832408` Chr`12` : `81,494,252`	0.000	1.000	0.000
rs61921502 lBF = `-0.0624676` Chr`12` : `65,832,468`	0.000	1.000	0.000
rs8756 lBF = `1.33` Chr`12` : `66,359,752`	0.000	1.000	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.000	1.000	0.000
rs143888465 lBF = `0.00254406` Chr`12` : `52,010,108`	0.000	1.000	0.000
rs1882496 lBF = `-0.00032723` Chr`12` : `104,900,584`	0.000	1.000	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.000	1.000	0.000
rs1920592 lBF = `0.100461` Chr`12` : `114,705,586`	0.000	1.000	0.000
rs1880887 lBF = `0.0224167` Chr`12` : `41,721,430`	0.000	1.000	0.000
rs7955374 lBF = `0.00082072` Chr`12` : `47,880,149`	0.000	1.000	0.000
rs11065028 lBF = `-0.0441758` Chr`12` : `120,562,974`	0.000	1.000	0.000
rs11057830 lBF = `17.2626` Chr`12` : `125,307,053`	0.000	1.000	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.000	1.000	0.000
rs3825214 lBF = `0.207399` Chr`12` : `114,795,443`	0.000	1.000	0.000
rs7961894 lBF = `0.152119` Chr`12` : `122,365,583`	0.000	1.000	0.000
rs61144803 lBF = `0.00541419` Chr`12` : `94,235,165`	0.000	1.000	0.000
rs79946301 lBF = `-0.00185935` Chr`12` : `130,117,149`	0.000	1.000	0.000
rs12812736 lBF = `-0.0119698` Chr`12` : `128,075,012`	0.000	1.000	0.000
rs2965667 lBF = `-0.019105` Chr`12` : `17,444,733`	0.000	1.000	0.000
rs4765913 lBF = `-0.0639315` Chr`12` : `2,419,896`	0.000	1.000	0.000
rs4378452 lBF = `20.7259` Chr`12` : `111,504,033`	0.000	1.000	0.000
rs1351394 lBF = `0.846087` Chr`12` : `66,351,826`	0.000	1.000	0.000
rs11172134 lBF = `0.649726` Chr`12` : `57,645,789`	0.000	1.000	0.000
rs2014355 lBF = `0.133864` Chr`12` : `121,175,524`	0.000	1.000	0.000
rs1036429 lBF = `0.10408` Chr`12` : `96,271,428`	0.000	1.000	0.000
rs11066679 lBF = `-0.0709874` Chr`12` : `114,123,402`	0.000	1.000	0.000
rs4766646 lBF = `-0.0886816` Chr`12` : `110,398,145`	0.000	1.000	0.000
rs2238151 lBF = `27.2496` Chr`12` : `112,211,833`	0.000	1.000	0.000
rs739496 lBF = `22.8103` Chr`12` : `111,887,659`	0.000	1.000	0.000
rs7296313 lBF = `21.6862` Chr`12` : `111,878,526`	0.000	1.000	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.000	1.000	0.000
rs11047102 lBF = `0.427704` Chr`12` : `23,946,146`	0.000	1.000	0.000
rs993226 lBF = `0.111824` Chr`12` : `84,886,573`	0.000	1.000	0.000
rs10843215 lBF = `-0.00711239` Chr`12` : `28,744,641`	0.000	1.000	0.000
rs7135417 lBF = `-0.0328155` Chr`12` : `128,176,235`	0.000	1.000	0.000
rs4534636 lBF = `-0.0481322` Chr`12` : `8,666,801`	0.000	1.000	0.000
rs597808 lBF = `138.181` Chr`12` : `111,973,358`	0.000	1.000	0.000
rs2657888 lBF = `0.221785` Chr`12` : `56,938,383`	0.000	1.000	0.000
rs3916 lBF = `0.117559` Chr`12` : `121,177,272`	0.000	1.000	0.000
rs61352607 lBF = `0.102773` Chr`12` : `57,839,173`	0.000	1.000	0.000
rs3741414 lBF = `0.0991612` Chr`12` : `57,844,049`	0.000	1.000	0.000
rs1520832 lBF = `0.0100874` Chr`12` : `43,253,415`	0.000	1.000	0.000
rs12304921 lBF = `-0.00652912` Chr`12` : `51,357,542`	0.000	1.000	0.000
rs11829119 lBF = `-0.0240856` Chr`12` : `19,193,531`	0.000	1.000	0.000
rs10748045 lBF = `-0.0454931` Chr`12` : `66,816,139`	0.000	1.000	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs10850408 lBF = `0.1807` Chr`12` : `115,380,393`	0.000	1.000	0.000
rs10859871 lBF = `0.0967619` Chr`12` : `95,711,876`	0.000	1.000	0.000
rs138850252 lBF = `0.0193022` Chr`12` : `126,567,246`	0.000	1.000	0.000
rs11058518 lBF = `0.0101956` Chr`12` : `126,582,613`	0.000	1.000	0.000
rs11177669 lBF = `-0.00206854` Chr`12` : `69,828,681`	0.000	1.000	0.000
rs6488898 lBF = `-0.0166671` Chr`12` : `124,203,832`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6168

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1507

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9984

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9983

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9982

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9977

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9960

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9895

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9867

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9865

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9819

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9696

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9611

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9599

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9559

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9465

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9428

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9419

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9415

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9245

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9079

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9050

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8980

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8882

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8827

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8824

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8550

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8522

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8515

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8491

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8430

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8401

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8215

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8174

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8156

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8130

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8125

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8063

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8054

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8028

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8015

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7990

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7982

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7774

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7750

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7618

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7523

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7515

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7469

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7404

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7393

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7372

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7362

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7339

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.7303

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7251

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7221

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7195

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7148

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7053

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7023

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6965

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6907

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6881

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6766

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6655

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6603

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6599

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6598

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6597

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6472

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6426

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6383

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6344

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6220

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6159

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6097

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6046

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6016

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6010

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6004

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5773

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5746

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5734

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5699

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5542

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5469

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5466

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5423

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5411

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5343

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5271

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5143

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5139

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5098

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5074

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5013

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4866

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4821

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4620

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4565

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4522

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4475

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4414

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4117

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3843

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3717

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3684

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3620

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3601

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3415

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3341

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3177

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3092

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3003

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2971

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2914

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2685

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2607

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2562

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2515

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2499

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2498

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2490

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2465

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2461

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2385

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2350

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2140

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2079

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1781

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1750

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1693

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1619

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1548

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1482

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1470

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1090

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1030

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0972

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0826

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0761

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0694

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0592

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0568

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0512

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)

Hospitalization Episode Statistics (`HES`)