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
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.984	0.016	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.956	0.044	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.953	0.047	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.910	0.090	0.000
rs11986063 lBF = `23.1442` Chr`8` : `117,640,315`	0.909	0.091	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.903	0.097	0.000
rs147368169 lBF = `2.47816` Chr`8` : `143,470,843`	0.889	0.111	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.885	0.115	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.865	0.135	0.000
Affx-31406520 lBF = `9.74408` Chr`8` : `117,783,975`	0.863	0.137	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.856	0.143	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.847	0.153	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.828	0.172	0.000
rs7828067 lBF = `8.85726` Chr`8` : `117,796,195`	0.822	0.178	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.811	0.189	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.782	0.218	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.776	0.224	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.776	0.224	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.740	0.260	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.681	0.319	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.673	0.327	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.662	0.338	0.000
rs187899339 lBF = `1.40307` Chr`8` : `111,118,450`	0.650	0.350	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.585	0.415	0.000
rs76316943 lBF = `2.76867` Chr`8` : `117,848,307`	0.581	0.419	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.568	0.432	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.563	0.437	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.558	0.442	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.505	0.494	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.490	0.510	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.476	0.524	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.473	0.527	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.461	0.539	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.456	0.544	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.451	0.549	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.449	0.551	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.444	0.556	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.418	0.581	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.407	0.593	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.403	0.597	0.000
rs6601606 lBF = `0.475405` Chr`8` : `11,638,244`	0.389	0.611	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.378	0.622	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.364	0.636	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.322	0.678	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.318	0.682	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.311	0.689	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.303	0.697	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.288	0.712	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.286	0.713	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.281	0.719	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.264	0.736	0.000
rs183826639 lBF = `0.489777` Chr`8` : `76,817,264`	0.254	0.745	0.000
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.245	0.755	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.245	0.755	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.239	0.761	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.236	0.763	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.234	0.764	0.001
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.231	0.769	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.229	0.770	0.001
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.218	0.782	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.218	0.782	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.215	0.785	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.212	0.786	0.001
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.189	0.811	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.189	0.811	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.186	0.814	0.000
rs4873403 lBF = `0.22757` Chr`8` : `50,974,319`	0.173	0.826	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.172	0.828	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.001	0.836	0.163
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.160	0.840	0.000
rs6989010 lBF = `0.220835` Chr`8` : `12,772,755`	0.160	0.840	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.159	0.841	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.157	0.842	0.000
rs16938910 lBF = `0.223122` Chr`8` : `75,373,948`	0.155	0.845	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.134	0.866	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.132	0.868	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.129	0.871	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.128	0.872	0.000
rs17150703 lBF = `0.0696045` Chr`8` : `9,745,798`	0.000	0.885	0.115
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.113	0.887	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.107	0.892	0.001
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.104	0.896	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.101	0.899	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.100	0.900	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.099	0.901	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.098	0.902	0.001
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.092	0.908	0.000
rs7459527 lBF = `0.0670646` Chr`8` : `118,909,260`	0.086	0.914	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.085	0.915	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.082	0.918	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.078	0.922	0.000
rs4397449 lBF = `0.0854969` Chr`8` : `90,342,186`	0.000	0.924	0.076
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.076	0.924	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.072	0.928	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.072	0.928	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.067	0.933	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.065	0.934	0.001
rs1992045 lBF = `1.36508` Chr`8` : `58,840,924`	0.059	0.941	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.058	0.942	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.056	0.943	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.056	0.944	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.055	0.945	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.051	0.949	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.050	0.949	0.001
rs61134957 lBF = `0.280178` Chr`8` : `92,599,003`	0.050	0.950	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.046	0.954	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.046	0.954	0.000
rs11786194 lBF = `0.734955` Chr`8` : `33,673,011`	0.045	0.955	0.000
rs16924527 lBF = `0.0720799` Chr`8` : `59,974,175`	0.045	0.955	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.044	0.955	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.044	0.956	0.000
rs73199941 lBF = `0.0263881` Chr`8` : `18,573,919`	0.000	0.957	0.043
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.038	0.962	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.036	0.964	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.036	0.964	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.035	0.965	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.035	0.965	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.031	0.969	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.030	0.970	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.030	0.970	0.000
rs184060364 lBF = `1.31395` Chr`8` : `84,120,968`	0.029	0.970	0.000
rs4872511 lBF = `0.0384953` Chr`8` : `22,400,989`	0.029	0.971	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.029	0.971	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.025	0.975	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.025	0.975	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.025	0.975	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	0.024	0.976	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.023	0.977	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.023	0.977	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.023	0.977	0.000
rs2016444 lBF = `0.114235` Chr`8` : `13,058,674`	0.022	0.978	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.019	0.981	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.019	0.981	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.014	0.981	0.005
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.018	0.982	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.016	0.984	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.016	0.984	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.015	0.985	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.015	0.985	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.015	0.985	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.015	0.985	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.013	0.987	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.013	0.987	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.013	0.987	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.012	0.988	0.000
rs59294057 lBF = `0.0130314` Chr`8` : `21,506,668`	0.011	0.988	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.011	0.989	0.000
rs6586977 lBF = `0.0140925` Chr`8` : `21,156,593`	0.011	0.989	0.000
rs74335301 lBF = `0.0262679` Chr`8` : `116,638,637`	0.011	0.989	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.010	0.990	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.010	0.990	0.000
rs7461360 lBF = `1.91134` Chr`8` : `68,678,150`	0.010	0.990	0.000
rs16887217 lBF = `0.00876989` Chr`8` : `38,004,425`	0.009	0.991	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.009	0.991	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.009	0.991	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.009	0.991	0.000
rs77378271 lBF = `0.165864` Chr`8` : `3,073,489`	0.008	0.992	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.007	0.992	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.007	0.993	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.007	0.993	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.007	0.993	0.001
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.007	0.993	0.000
rs140707667 lBF = `0.322695` Chr`8` : `84,028,528`	0.006	0.993	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.006	0.994	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.006	0.994	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.005	0.994	0.001
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.006	0.994	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.006	0.994	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.005	0.994	0.001
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.005	0.995	0.000
rs150335055 lBF = `0.00517963` Chr`8` : `9,244,264`	0.005	0.995	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.005	0.995	0.000
rs2280890 lBF = `0.00592004` Chr`8` : `22,404,840`	0.005	0.995	0.000
rs142014203 lBF = `0.0456246` Chr`8` : `63,258,917`	0.005	0.995	0.000
rs56677333 lBF = `-0.00016109` Chr`8` : `6,750,801`	0.005	0.995	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.004	0.996	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.000	0.996	0.004
rs150432060 lBF = `0.00833644` Chr`8` : `4,087,035`	0.004	0.996	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.004	0.996	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.004	0.996	0.000
rs4736655 lBF = `0.00443393` Chr`8` : `134,350,106`	0.003	0.996	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.003	0.996	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.004	0.996	0.000
rs72657954 lBF = `0.0302208` Chr`8` : `72,770,306`	0.003	0.997	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.003	0.997	0.000
rs12545912 lBF = `0.193794` Chr`8` : `9,601,699`	0.000	0.997	0.003
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.003	0.997	0.000
rs2255327 lBF = `0.00267889` Chr`8` : `11,409,992`	0.003	0.997	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.003	0.997	0.000
rs2720508 lBF = `0.0204018` Chr`8` : `17,329,827`	0.000	0.997	0.002
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.003	0.997	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.003	0.997	0.000
rs440837 lBF = `2.52151` Chr`8` : `81,461,974`	0.003	0.997	0.000
rs35925379 lBF = `0.00225855` Chr`8` : `144,802,456`	0.002	0.998	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.002	0.998	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.002	0.998	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.002	0.998	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.002	0.998	0.000
rs17057051 lBF = `0.0233128` Chr`8` : `27,227,554`	0.000	0.998	0.002
rs3763558 lBF = `-0.0260521` Chr`8` : `97,796,731`	0.002	0.998	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.002	0.998	0.000
rs141088253 lBF = `0.00162185` Chr`8` : `5,284,296`	0.002	0.998	0.000
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rs2736345 lBF = `0.0780459` Chr`8` : `11,352,485`	0.000	1.000	0.000
rs6983039 lBF = `0.0761935` Chr`8` : `116,330,855`	0.000	1.000	0.000
rs7836436 lBF = `0.0421154` Chr`8` : `121,006,828`	0.000	1.000	0.000
rs11787341 lBF = `0.0273871` Chr`8` : `19,102,564`	0.000	1.000	0.000
rs7816613 lBF = `0.0252555` Chr`8` : `102,729,475`	0.000	1.000	0.000
rs75545078 lBF = `0.0217198` Chr`8` : `122,950,878`	0.000	1.000	0.000
rs11773966 lBF = `0.0171022` Chr`8` : `54,555,200`	0.000	1.000	0.000
rs6999631 lBF = `0.00580052` Chr`8` : `10,086,411`	0.000	1.000	0.000
rs16937456 lBF = `-0.00258648` Chr`8` : `72,077,955`	0.000	1.000	0.000
rs16935110 lBF = `-0.0124358` Chr`8` : `69,730,719`	0.000	1.000	0.000
rs9692809 lBF = `-0.0162988` Chr`8` : `7,189,358`	0.000	1.000	0.000
rs332034 lBF = `-0.0244908` Chr`8` : `8,717,007`	0.000	1.000	0.000
rs55828312 lBF = `-0.0437374` Chr`8` : `42,589,602`	0.000	1.000	0.000
rs28834970 lBF = `-0.0720231` Chr`8` : `27,195,121`	0.000	1.000	0.000
rs2688325 lBF = `-0.0870791` Chr`8` : `3,767,210`	0.000	1.000	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.000	1.000	0.000
rs7012814 lBF = `0.264762` Chr`8` : `9,173,358`	0.000	1.000	0.000
rs34975555 lBF = `0.172615` Chr`8` : `17,858,297`	0.000	1.000	0.000
rs2736337 lBF = `0.0321259` Chr`8` : `11,341,880`	0.000	1.000	0.000
rs187025166 lBF = `0.0083854` Chr`8` : `61,592,878`	0.000	1.000	0.000
rs240657 lBF = `-0.00636384` Chr`8` : `15,665,612`	0.000	1.000	0.000
rs7006742 lBF = `-0.00894551` Chr`8` : `73,236,810`	0.000	1.000	0.000
rs278541 lBF = `-0.0141387` Chr`8` : `94,222,945`	0.000	1.000	0.000
rs2975734 lBF = `-0.0286243` Chr`8` : `10,090,097`	0.000	1.000	0.000
rs113889867 lBF = `-0.0433376` Chr`8` : `80,556,500`	0.000	1.000	0.000
rs2720499 lBF = `-0.052573` Chr`8` : `17,392,357`	0.000	1.000	0.000
rs4276643 lBF = `-0.119684` Chr`8` : `27,803,599`	0.000	1.000	0.000
rs56005245 lBF = `9.35561` Chr`8` : `128,113,426`	0.000	1.000	0.000
rs147305104 lBF = `5.74596` Chr`8` : `81,426,293`	0.000	1.000	0.000
rs10503253 lBF = `0.605522` Chr`8` : `4,180,844`	0.000	1.000	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.000	1.000	0.000
rs2045966 lBF = `0.188035` Chr`8` : `98,594,154`	0.000	1.000	0.000
rs7821565 lBF = `0.0801604` Chr`8` : `52,216,762`	0.000	1.000	0.000
rs71519017 lBF = `0.0366136` Chr`8` : `82,212,298`	0.000	1.000	0.000
rs4437673 lBF = `-0.00180243` Chr`8` : `6,758,698`	0.000	1.000	0.000
rs2609653 lBF = `-0.00331663` Chr`8` : `34,236,992`	0.000	1.000	0.000
rs141603042 lBF = `-0.0144681` Chr`8` : `102,667,367`	0.000	1.000	0.000
rs10089517 lBF = `-0.0568592` Chr`8` : `60,178,721`	0.000	1.000	0.000
rs1388941 lBF = `-0.0733002` Chr`8` : `19,615,471`	0.000	1.000	0.000
rs6468852 lBF = `-0.0911449` Chr`8` : `103,975,989`	0.000	1.000	0.000
rs2954031 lBF = `29.4155` Chr`8` : `126,491,733`	0.000	1.000	0.000
rs10090154 lBF = `18.423` Chr`8` : `128,532,137`	0.000	1.000	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.000	1.000	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.000	1.000	0.000
rs4921914 lBF = `1.67362` Chr`8` : `18,272,438`	0.000	1.000	0.000
rs2169387 lBF = `1.29327` Chr`8` : `9,181,395`	0.000	1.000	0.000
rs2020921 lBF = `0.638188` Chr`8` : `42,044,965`	0.000	1.000	0.000
rs10110943 lBF = `0.377205` Chr`8` : `18,612,612`	0.000	1.000	0.000
rs117044419 lBF = `0.184407` Chr`8` : `47,406,616`	0.000	1.000	0.000
rs13277113 lBF = `0.158059` Chr`8` : `11,349,186`	0.000	1.000	0.000
rs16939046 lBF = `0.0561149` Chr`8` : `76,147,954`	0.000	1.000	0.000
rs6986718 lBF = `0.0450829` Chr`8` : `121,635,396`	0.000	1.000	0.000
rs35660623 lBF = `0.0445356` Chr`8` : `10,686,537`	0.000	1.000	0.000
rs3136739 lBF = `0.0317476` Chr`8` : `42,205,080`	0.000	1.000	0.000
rs2620636 lBF = `0.0283314` Chr`8` : `145,778,128`	0.000	1.000	0.000
rs7828135 lBF = `0.0246949` Chr`8` : `81,058,819`	0.000	1.000	0.000
rs722782 lBF = `0.0164778` Chr`8` : `516,479`	0.000	1.000	0.000
rs17077154 lBF = `0.0163422` Chr`8` : `6,351,252`	0.000	1.000	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.000	1.000	0.000
rs2618476 lBF = `0.0128908` Chr`8` : `11,352,541`	0.000	1.000	0.000
rs77609452 lBF = `0.00177264` Chr`8` : `26,312,097`	0.000	1.000	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.000	1.000	0.000
rs17685410 lBF = `-0.0559858` Chr`8` : `2,113,776`	0.000	1.000	0.000
rs921231 lBF = `-0.0587008` Chr`8` : `92,360,396`	0.000	1.000	0.000
rs2046180 lBF = `-0.0951139` Chr`8` : `74,685,404`	0.000	1.000	0.000
rs7839488 lBF = `-0.0970719` Chr`8` : `121,562,418`	0.000	1.000	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.000	1.000	0.000
rs7014382 lBF = `6.1756` Chr`8` : `69,991,586`	0.000	1.000	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.000	1.000	0.000
rs2272651 lBF = `0.581321` Chr`8` : `134,270,548`	0.000	1.000	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.000	1.000	0.000
rs2014357 lBF = `0.0898175` Chr`8` : `133,103,290`	0.000	1.000	0.000
rs11987235 lBF = `0.0831969` Chr`8` : `117,641,610`	0.000	1.000	0.000
rs78315000 lBF = `0.0697942` Chr`8` : `69,103,058`	0.000	1.000	0.000
rs12680842 lBF = `0.0437133` Chr`8` : `95,582,606`	0.000	1.000	0.000
rs7011192 lBF = `0.0144292` Chr`8` : `10,535,377`	0.000	1.000	0.000
rs80113388 lBF = `0.00703085` Chr`8` : `3,467,643`	0.000	1.000	0.000
rs77913157 lBF = `0.00320006` Chr`8` : `19,949,198`	0.000	1.000	0.000
rs310558 lBF = `-0.0142371` Chr`8` : `51,412,591`	0.000	1.000	0.000
rs7009219 lBF = `-0.0308728` Chr`8` : `53,214,265`	0.000	1.000	0.000
rs13278529 lBF = `-0.045506` Chr`8` : `40,333,321`	0.000	1.000	0.000
rs17126232 lBF = `-0.0593424` Chr`8` : `17,977,650`	0.000	1.000	0.000
rs55798256 lBF = `-0.0624198` Chr`8` : `94,303,801`	0.000	1.000	0.000
rs17428041 lBF = `-0.0669529` Chr`8` : `21,711,431`	0.000	1.000	0.000
rs12676170 lBF = `-0.0817959` Chr`8` : `15,197,417`	0.000	1.000	0.000
rs11986220 lBF = `18.5256` Chr`8` : `128,531,689`	0.000	1.000	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.000	1.000	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.000	1.000	0.000
rs2121630 lBF = `7.89046` Chr`8` : `128,478,160`	0.000	1.000	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.000	1.000	0.000
rs11993814 lBF = `5.99138` Chr`8` : `81,389,791`	0.000	1.000	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.000	1.000	0.000
rs1495743 lBF = `1.21496` Chr`8` : `18,273,300`	0.000	1.000	0.000
rs4733271 lBF = `0.712801` Chr`8` : `31,567,006`	0.000	1.000	0.000
rs4909764 lBF = `0.583554` Chr`8` : `139,255,918`	0.000	1.000	0.000
rs11985561 lBF = `0.34567` Chr`8` : `3,452,262`	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`)