TreeWAS – [D23] Other benign neoplasms of skin

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
rs73201485 lBF = `11.279` Chr`12` : `114,791,319`	0.997	0.003	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.915	0.085	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.877	0.123	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.874	0.126	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.843	0.157	0.000
rs182057829 lBF = `2.49683` Chr`12` : `97,412,327`	0.769	0.231	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.750	0.250	0.000
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.743	0.257	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.704	0.296	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.697	0.303	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.697	0.303	0.000
rs76242156 lBF = `19.5711` Chr`12` : `65,043,774`	0.674	0.325	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.648	0.352	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.636	0.364	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.632	0.368	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.621	0.379	0.000
rs188610 lBF = `2.31323` Chr`12` : `313,839`	0.616	0.384	0.000
rs143136847 lBF = `1.54314` Chr`12` : `82,748,339`	0.615	0.385	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.596	0.404	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.585	0.415	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.584	0.416	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.582	0.418	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.577	0.423	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.576	0.424	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.574	0.426	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.563	0.437	0.000
rs2279695 lBF = `6.13321` Chr`12` : `117,154,262`	0.559	0.441	0.000
rs57514780 lBF = `1.0288` Chr`12` : `69,397,789`	0.535	0.465	0.000
rs3809128 lBF = `2.10909` Chr`12` : `56,709,919`	0.529	0.471	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.482	0.518	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.479	0.521	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.468	0.532	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.467	0.533	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.458	0.542	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.436	0.564	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.426	0.574	0.000
rs144700679 lBF = `7.09223` Chr`12` : `115,468,959`	0.397	0.603	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	0.389	0.610	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.386	0.614	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.380	0.620	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.374	0.626	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.367	0.633	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.362	0.638	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.346	0.654	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.343	0.656	0.000
rs75311705 lBF = `0.456159` Chr`12` : `125,714,596`	0.343	0.657	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.339	0.661	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.324	0.676	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.322	0.678	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.321	0.679	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.302	0.698	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.290	0.710	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.287	0.713	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.274	0.726	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.273	0.727	0.000
rs181609621 lBF = `1.56948` Chr`12` : `32,810,759`	0.253	0.747	0.000
rs4149639 lBF = `0.234732` Chr`12` : `6,442,001`	0.247	0.753	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.245	0.755	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.241	0.759	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.240	0.760	0.000
rs11175593 lBF = `2.45774` Chr`12` : `40,601,940`	0.225	0.775	0.000
rs117863495 lBF = `14.7593` Chr`12` : `129,432,374`	0.223	0.777	0.000
rs141480969 lBF = `0.733874` Chr`12` : `62,496,278`	0.195	0.805	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.188	0.812	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.184	0.816	0.000
rs116938548 lBF = `0.178688` Chr`12` : `4,808,251`	0.170	0.830	0.000
rs2292303 lBF = `0.924716` Chr`12` : `102,513,531`	0.165	0.835	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.150	0.850	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.149	0.851	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.136	0.864	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.134	0.865	0.001
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.129	0.871	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.127	0.873	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.127	0.873	0.000
rs12422544 lBF = `1.68441` Chr`12` : `40,528,432`	0.123	0.877	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.122	0.878	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.121	0.879	0.000
rs144288546 lBF = `0.146461` Chr`12` : `129,069,682`	0.115	0.885	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.110	0.890	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.104	0.896	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.104	0.896	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.103	0.896	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.093	0.907	0.000
rs11172782 lBF = `0.0482424` Chr`12` : `59,259,628`	0.093	0.907	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.092	0.908	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.088	0.912	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.084	0.916	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.083	0.917	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.076	0.923	0.001
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.076	0.924	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	0.072	0.926	0.001
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.073	0.927	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.070	0.930	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.067	0.933	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.064	0.936	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.061	0.936	0.003
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.060	0.939	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.058	0.942	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.054	0.945	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.000	0.947	0.053
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.047	0.953	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.046	0.954	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.046	0.954	0.000
rs16906714 lBF = `0.0571485` Chr`12` : `30,860,557`	0.044	0.955	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.042	0.958	0.000
rs12322695 lBF = `0.0399753` Chr`12` : `117,199,414`	0.041	0.959	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.039	0.961	0.000
rs11057864 lBF = `6.42106` Chr`12` : `125,335,950`	0.038	0.962	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.038	0.962	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.037	0.963	0.000
rs117629949 lBF = `14.77` Chr`12` : `25,021,224`	0.034	0.966	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.031	0.969	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.031	0.969	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.029	0.971	0.000
rs11066301 lBF = `73.3256` Chr`12` : `112,871,372`	0.000	0.972	0.028
rs74910874 lBF = `2.61067` Chr`12` : `67,086,810`	0.027	0.973	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.026	0.974	0.000
rs183825572 lBF = `0.0255777` Chr`12` : `101,264,845`	0.025	0.975	0.000
rs188255132 lBF = `0.0230843` Chr`12` : `81,723,188`	0.025	0.975	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.020	0.980	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.018	0.982	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.017	0.983	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.017	0.983	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.016	0.984	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.016	0.984	0.000
rs4594074 lBF = `0.0140546` Chr`12` : `41,032,092`	0.016	0.984	0.000
rs17630235 lBF = `80.0182` Chr`12` : `112,591,686`	0.000	0.984	0.016
rs7294372 lBF = `0.932637` Chr`12` : `114,637,423`	0.014	0.985	0.001
rs142494129 lBF = `0.0386533` Chr`12` : `95,161,353`	0.014	0.985	0.000
rs117154046 lBF = `0.0198739` Chr`12` : `29,542,777`	0.014	0.986	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.014	0.986	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.013	0.987	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.013	0.987	0.000
rs187293782 lBF = `0.0145963` Chr`12` : `76,157,356`	0.012	0.988	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.012	0.988	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.011	0.988	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.011	0.989	0.000
rs2389217 lBF = `-0.0760532` Chr`12` : `33,680,803`	0.000	0.989	0.011
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.011	0.989	0.000
rs17040357 lBF = `13.7026` Chr`12` : `108,665,316`	0.010	0.990	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.010	0.990	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.009	0.991	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.008	0.992	0.000
rs10849033 lBF = `0.0184301` Chr`12` : `4,425,122`	0.008	0.992	0.000
rs17696736 lBF = `77.5307` Chr`12` : `112,486,818`	0.000	0.992	0.008
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.008	0.992	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.008	0.992	0.000
rs11065987 lBF = `90.6309` Chr`12` : `112,072,424`	0.000	0.993	0.007
rs117585797 lBF = `0.0205785` Chr`12` : `6,011,490`	0.007	0.993	0.000
rs186586221 lBF = `0.00794423` Chr`12` : `75,574,323`	0.006	0.994	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.006	0.994	0.000
rs12423247 lBF = `0.921356` Chr`12` : `96,858,362`	0.006	0.994	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.006	0.994	0.000
rs150954431 lBF = `0.66025` Chr`12` : `125,002,323`	0.006	0.994	0.000
rs138477082 lBF = `2.62368` Chr`12` : `103,796,611`	0.006	0.994	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.006	0.994	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.005	0.995	0.000
rs10506525 lBF = `-0.00343276` Chr`12` : `65,783,378`	0.005	0.995	0.000
rs3138141 lBF = `9.86503` Chr`12` : `56,115,778`	0.005	0.995	0.000
rs247929 lBF = `-0.0709715` Chr`12` : `46,294,908`	0.000	0.995	0.005
rs16941724 lBF = `5.97011` Chr`12` : `112,327,057`	0.005	0.995	0.000
rs10842750 lBF = `-0.063617` Chr`12` : `26,690,565`	0.005	0.995	0.000
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
rs148621641 lBF = `0.0227733` Chr`12` : `78,772,439`	0.005	0.995	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.004	0.995	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.004	0.996	0.000
rs17126180 lBF = `0.00493889` Chr`12` : `52,263,956`	0.000	0.996	0.004
rs10880855 lBF = `-0.0803642` Chr`12` : `46,144,855`	0.000	0.996	0.004
rs703556 lBF = `0.0322573` Chr`12` : `103,011,894`	0.004	0.996	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.004	0.996	0.000
rs7980799 lBF = `0.806158` Chr`12` : `33,576,990`	0.000	0.996	0.004
rs12580240 lBF = `0.0613231` Chr`12` : `129,646,572`	0.004	0.996	0.000
rs7137521 lBF = `0.00252492` Chr`12` : `126,734,269`	0.004	0.996	0.000
rs12580533 lBF = `0.06281` Chr`12` : `129,646,601`	0.004	0.996	0.000
rs941184 lBF = `0.00357459` Chr`12` : `54,114,158`	0.004	0.996	0.000
rs181947843 lBF = `0.00335065` Chr`12` : `108,547,387`	0.004	0.996	0.000
rs11180992 lBF = `0.0137073` Chr`12` : `41,940,664`	0.004	0.996	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.003	0.996	0.000
rs17121944 lBF = `-0.0102276` Chr`12` : `59,440,232`	0.003	0.997	0.000
rs76582905 lBF = `0.00276703` Chr`12` : `130,466,631`	0.003	0.997	0.000
rs190909796 lBF = `0.00805551` Chr`12` : `80,474,682`	0.003	0.997	0.000
rs7979673 lBF = `0.00145938` Chr`12` : `66,227,257`	0.003	0.997	0.000
rs3951439 lBF = `0.0044521` Chr`12` : `51,727,596`	0.000	0.997	0.003
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.003	0.997	0.000
rs74377925 lBF = `0.0293844` Chr`12` : `16,699,250`	0.003	0.997	0.000
rs1040026 lBF = `0.00233431` Chr`12` : `71,210,678`	0.003	0.997	0.000
rs76859191 lBF = `0.57087` Chr`12` : `114,545,274`	0.003	0.997	0.000
rs183160876 lBF = `0.00279977` Chr`12` : `82,463,439`	0.003	0.997	0.000
rs12310956 lBF = `-0.0995665` Chr`12` : `33,970,682`	0.000	0.997	0.003
rs1520223 lBF = `0.00239145` Chr`12` : `102,726,338`	0.003	0.997	0.000
rs117483990 lBF = `-0.00680357` Chr`12` : `90,224,714`	0.003	0.997	0.000
rs12826178 lBF = `0.0886157` Chr`12` : `57,622,371`	0.000	0.997	0.003
rs10859995 lBF = `5.14564` Chr`12` : `96,375,682`	0.003	0.997	0.000
rs182328274 lBF = `0.0032004` Chr`12` : `107,667,802`	0.002	0.997	0.000
rs17431357 lBF = `-0.025961` Chr`12` : `120,880,434`	0.003	0.997	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.003	0.997	0.000
rs57866673 lBF = `6.11134` Chr`12` : `112,633,304`	0.003	0.997	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.002	0.997	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.002	0.998	0.000
rs34637584 lBF = `0.00195999` Chr`12` : `40,734,202`	0.002	0.998	0.000
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rs11065611 lBF = `0.0973389` Chr`12` : `110,704,487`	0.000	1.000	0.000
rs11104268 lBF = `0.0582113` Chr`12` : `76,627,445`	0.000	1.000	0.000
rs61941274 lBF = `0.00529695` Chr`12` : `112,132,610`	0.000	1.000	0.000
rs6582618 lBF = `-0.0448503` Chr`12` : `38,726,137`	0.000	1.000	0.000
rs10778560 lBF = `0.0420953` Chr`12` : `107,801,401`	0.000	1.000	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.000	1.000	0.000
rs2066938 lBF = `0.122999` Chr`12` : `121,160,615`	0.000	1.000	0.000
rs17429217 lBF = `0.00288289` Chr`12` : `117,295,333`	0.000	1.000	0.000
rs17184007 lBF = `-0.0163909` Chr`12` : `67,594,578`	0.000	1.000	0.000
rs11168187 lBF = `-0.0470456` Chr`12` : `48,044,011`	0.000	1.000	0.000
rs4842666 lBF = `4.8905` Chr`12` : `89,941,549`	0.000	1.000	0.000
rs995030 lBF = `0.708423` Chr`12` : `88,890,671`	0.000	1.000	0.000
rs10431397 lBF = `0.624202` Chr`12` : `118,106,194`	0.000	1.000	0.000
rs750134 lBF = `0.0830247` Chr`12` : `109,061,106`	0.000	1.000	0.000
rs10777534 lBF = `5.44821` Chr`12` : `94,084,878`	0.000	1.000	0.000
rs2066807 lBF = `0.0731955` Chr`12` : `56,740,682`	0.000	1.000	0.000
rs2289936 lBF = `0.0676215` Chr`12` : `65,471,467`	0.000	1.000	0.000
rs2110166 lBF = `0.013679` Chr`12` : `5,751,342`	0.000	1.000	0.000
rs12296937 lBF = `-0.00832408` Chr`12` : `81,494,252`	0.000	1.000	0.000
rs10848820 lBF = `-0.00858932` Chr`12` : `3,296,948`	0.000	1.000	0.000
rs1388585 lBF = `0.675794` Chr`12` : `40,531,691`	0.000	1.000	0.000
rs1795851 lBF = `0.151487` Chr`12` : `104,925,884`	0.000	1.000	0.000
rs2066808 lBF = `0.103548` Chr`12` : `56,737,973`	0.000	1.000	0.000
rs147845115 lBF = `0.0739711` Chr`12` : `51,878,760`	0.000	1.000	0.000
rs6581612 lBF = `0.0439212` Chr`12` : `65,534,624`	0.000	1.000	0.000
rs3782455 lBF = `0.0156366` Chr`12` : `114,359,265`	0.000	1.000	0.000
rs73208120 lBF = `-0.020037` Chr`12` : `117,747,590`	0.000	1.000	0.000
rs12580035 lBF = `-0.045879` Chr`12` : `1,911,860`	0.000	1.000	0.000
rs17096606 lBF = `36.0164` Chr`12` : `38,532,743`	0.000	1.000	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.000	1.000	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.000	1.000	0.000
rs12310399 lBF = `3.09393` Chr`12` : `95,490,248`	0.000	1.000	0.000
rs11611208 lBF = `0.390606` Chr`12` : `20,758,613`	0.000	1.000	0.000
rs2239181 lBF = `-0.0189337` Chr`12` : `48,255,949`	0.000	1.000	0.000
rs4149584 lBF = `-0.0194945` Chr`12` : `6,442,643`	0.000	1.000	0.000
rs7957589 lBF = `-0.0420975` Chr`12` : `41,874,282`	0.000	1.000	0.000
rs7965364 lBF = `-0.0570045` Chr`12` : `25,484,193`	0.000	1.000	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.000	1.000	0.000
rs116975820 lBF = `0.223166` Chr`12` : `42,722,908`	0.000	1.000	0.000
rs10842707 lBF = `0.0399004` Chr`12` : `26,471,364`	0.000	1.000	0.000
rs139680557 lBF = `0.0111233` Chr`12` : `108,061,589`	0.000	1.000	0.000
rs76569837 lBF = `0.00029194` Chr`12` : `45,959,763`	0.000	1.000	0.000
rs10491967 lBF = `-0.00420789` Chr`12` : `3,368,093`	0.000	1.000	0.000
rs11060736 lBF = `-0.0122292` Chr`12` : `130,630,935`	0.000	1.000	0.000
rs10773971 lBF = `-0.0157233` Chr`12` : `1,740,171`	0.000	1.000	0.000
rs1559997 lBF = `-0.016814` Chr`12` : `113,847,542`	0.000	1.000	0.000
rs77464658 lBF = `-0.0198318` Chr`12` : `43,984,228`	0.000	1.000	0.000
rs549433 lBF = `-0.0838029` Chr`12` : `63,180,816`	0.000	1.000	0.000
rs11065979 lBF = `94.2904` Chr`12` : `112,059,557`	0.000	1.000	0.000
rs11170164 lBF = `18.5212` Chr`12` : `52,913,668`	0.000	1.000	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.000	1.000	0.000
rs7316650 lBF = `10.7172` Chr`12` : `112,439,664`	0.000	1.000	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.000	1.000	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.000	1.000	0.000
rs773125 lBF = `5.87662` Chr`12` : `56,394,954`	0.000	1.000	0.000
rs11610782 lBF = `0.575475` Chr`12` : `126,196,289`	0.000	1.000	0.000
rs7961894 lBF = `0.152119` Chr`12` : `122,365,583`	0.000	1.000	0.000
rs4759042 lBF = `0.0498471` Chr`12` : `57,377,347`	0.000	1.000	0.000
rs2343873 lBF = `0.0466979` Chr`12` : `26,404,298`	0.000	1.000	0.000
rs12230513 lBF = `-0.0367029` Chr`12` : `55,916,780`	0.000	1.000	0.000
rs34102591 lBF = `-0.0466761` Chr`12` : `124,480,801`	0.000	1.000	0.000
rs12821256 lBF = `-0.0492207` Chr`12` : `89,328,335`	0.000	1.000	0.000
rs67053123 lBF = `-0.0680212` Chr`12` : `125,353,810`	0.000	1.000	0.000
rs12368653 lBF = `-0.0807065` Chr`12` : `58,133,256`	0.000	1.000	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.000	1.000	0.000
rs7970490 lBF = `11.8652` Chr`12` : `111,756,438`	0.000	1.000	0.000
rs7297186 lBF = `6.68652` Chr`12` : `111,778,178`	0.000	1.000	0.000
rs11052552 lBF = `6.57279` Chr`12` : `9,855,958`	0.000	1.000	0.000
rs3794288 lBF = `0.216509` Chr`12` : `2,789,221`	0.000	1.000	0.000
rs73329476 lBF = `0.183925` Chr`12` : `69,504,083`	0.000	1.000	0.000
rs871392 lBF = `0.133655` Chr`12` : `42,171,982`	0.000	1.000	0.000
rs2052678 lBF = `0.0263995` Chr`12` : `29,833,329`	0.000	1.000	0.000
rs12319113 lBF = `0.0238283` Chr`12` : `19,024,558`	0.000	1.000	0.000
rs1385374 lBF = `0.0163696` Chr`12` : `129,300,694`	0.000	1.000	0.000
rs1513049 lBF = `0.00460279` Chr`12` : `17,362,816`	0.000	1.000	0.000
rs17124610 lBF = `-0.00500773` Chr`12` : `61,549,081`	0.000	1.000	0.000
rs7963521 lBF = `-0.0106444` Chr`12` : `73,828,956`	0.000	1.000	0.000
rs12316703 lBF = `-0.0111268` Chr`12` : `118,840,457`	0.000	1.000	0.000
rs4764043 lBF = `-0.0199619` Chr`12` : `14,115,482`	0.000	1.000	0.000
rs11175194 lBF = `-0.0229417` Chr`12` : `64,264,837`	0.000	1.000	0.000
rs11047526 lBF = `-0.0580724` Chr`12` : `24,759,806`	0.000	1.000	0.000
rs12832485 lBF = `-0.0753605` Chr`12` : `24,786,136`	0.000	1.000	0.000
rs1896312 lBF = `-0.105443` Chr`12` : `115,346,424`	0.000	1.000	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.000	1.000	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.000	1.000	0.000
rs7305618 lBF = `0.828838` Chr`12` : `121,402,932`	0.000	1.000	0.000
rs7965584 lBF = `0.0830301` Chr`12` : `90,305,779`	0.000	1.000	0.000
rs1402279 lBF = `0.0579971` Chr`12` : `77,729,385`	0.000	1.000	0.000
rs11061269 lBF = `0.0538437` Chr`12` : `131,456,449`	0.000	1.000	0.000
rs77206607 lBF = `0.0407578` Chr`12` : `126,554,363`	0.000	1.000	0.000
rs12321565 lBF = `0.00259808` Chr`12` : `68,532,077`	0.000	1.000	0.000
rs137949660 lBF = `0.0004879` Chr`12` : `117,933,500`	0.000	1.000	0.000
rs17539289 lBF = `-0.0209531` Chr`12` : `41,126,330`	0.000	1.000	0.000
rs1454933 lBF = `-0.0391194` Chr`12` : `33,017,043`	0.000	1.000	0.000
rs4759375 lBF = `-0.0438723` Chr`12` : `123,796,238`	0.000	1.000	0.000
rs11610143 lBF = `-0.0601849` Chr`12` : `52,349,071`	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

1.0000

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.3052

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1760

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

1.0000

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9987

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9982

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9972

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9967

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9889

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9776

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9711

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9705

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9700

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9523

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9487

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9474

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9319

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9079

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8796

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8655

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8547

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8298

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8230

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8144

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8097

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7949

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7397

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7324

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7035

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7018

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6825

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6761

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6384

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6176

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5906

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5761

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5391

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4826

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4777

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4570

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4515

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4363

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4320

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4311

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4265

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4173

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4131

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3774

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3550

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3482

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3459

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3321

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3230

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3176

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3030

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2968

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2917

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2799

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2658

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2590

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2452

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2421

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2343

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2008

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1904

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1813

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1577

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1548

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1507

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1184

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1124

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1027

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0989

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0981

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0949

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0851

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0761

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0757

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0753

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0731

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0678

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0653

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0643

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0605

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0589

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0567

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0551

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0524

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.

Parent term	D10-D36 Benign neoplasms
Nested terms	D23.0 Skin of lip D23.1 Skin of eyelid, including canthus D23.2 Skin of ear and external auricular canal D23.3 Skin of other and unspecified parts of face D23.4 Skin of scalp and neck D23.5 Skin of trunk D23.6 Skin of upper limb, including shoulder D23.7 Skin of lower limb, including hip D23.9 Skin, unspecified

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`)