TreeWAS – [D22.7] Melanocytic naevi of lower limb, including hip

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
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.811	0.189	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.745	0.255	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.683	0.317	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.656	0.344	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.646	0.354	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.634	0.366	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.607	0.393	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.588	0.412	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.585	0.415	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.523	0.477	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.504	0.496	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.503	0.497	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.493	0.506	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.482	0.518	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.474	0.526	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.460	0.540	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.459	0.541	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.438	0.562	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.344	0.656	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.333	0.666	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.330	0.670	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.320	0.680	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.319	0.681	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.290	0.709	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.268	0.732	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.258	0.741	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.258	0.742	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.239	0.760	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.236	0.764	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.212	0.787	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.212	0.788	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.192	0.808	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.190	0.810	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.185	0.814	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.166	0.834	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.133	0.867	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.131	0.869	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.120	0.880	0.001
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.119	0.880	0.001
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.118	0.882	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.114	0.886	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.113	0.887	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.104	0.895	0.002
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.094	0.906	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.090	0.910	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.085	0.914	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.081	0.918	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.068	0.931	0.001
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.063	0.937	0.001
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.061	0.938	0.001
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.060	0.939	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.057	0.943	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.054	0.945	0.001
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.050	0.949	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.000	0.955	0.045
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.043	0.957	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.043	0.957	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.040	0.960	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.036	0.963	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.035	0.965	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.035	0.965	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.032	0.967	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.033	0.967	0.000
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.032	0.968	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.032	0.968	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.031	0.968	0.001
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	0.971	0.029
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.028	0.972	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.025	0.975	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	0.975	0.025
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.022	0.978	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.022	0.978	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.022	0.978	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.021	0.978	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.017	0.982	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.016	0.984	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.014	0.986	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.014	0.986	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	0.986	0.014
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.014	0.986	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.013	0.987	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.012	0.988	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.011	0.989	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.011	0.989	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.001	0.991	0.008
rs2302783 lBF = `5.36933` Chr`17` : `66,447,073`	0.009	0.991	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.007	0.992	0.001
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.006	0.992	0.002
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.007	0.992	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.007	0.993	0.000
rs9898058 lBF = `-0.0471767` Chr`17` : `47,818,821`	0.000	0.993	0.007
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.006	0.993	0.001
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.006	0.994	0.000
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.000	0.994	0.006
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.005	0.995	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.005	0.995	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.000	0.995	0.005
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.000	0.995	0.005
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.004	0.995	0.000
rs8067235 lBF = `-0.00822143` Chr`17` : `79,024,637`	0.005	0.995	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.004	0.996	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.004	0.996	0.000
rs55663797 lBF = `5.4195` Chr`17` : `43,544,379`	0.000	0.996	0.004
rs17879146 lBF = `0.0318342` Chr`17` : `76,219,945`	0.004	0.996	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	0.996	0.004
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.003	0.996	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	0.997	0.003
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.003	0.997	0.000
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.003	0.997	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.003	0.997	0.000
rs12953285 lBF = `0.0020549` Chr`17` : `75,257,987`	0.000	0.997	0.003
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.997	0.003
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.003	0.997	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.003	0.997	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	0.997	0.003
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	0.997	0.003
rs3853824 lBF = `-0.0933912` Chr`17` : `54,880,993`	0.003	0.997	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	0.997	0.003
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.002	0.997	0.000
rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.002	0.998	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.002	0.998	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	0.998	0.002
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.000	0.998	0.002
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.002	0.998	0.000
rs11871801 lBF = `0.931073` Chr`17` : `40,570,772`	0.002	0.998	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.002	0.998	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.001	0.998	0.001
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.000	0.998	0.002
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.002	0.998	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	0.998	0.002
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.002	0.998	0.000
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.002	0.998	0.000
rs8068952 lBF = `4.07382` Chr`17` : `59,286,644`	0.002	0.998	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.000	0.998	0.002
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.000	0.998	0.002
rs4792909 lBF = `0.822937` Chr`17` : `41,798,824`	0.002	0.998	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	0.998	0.002
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.002	0.998	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.998	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	0.998	0.002
rs2017854 lBF = `-0.103445` Chr`17` : `65,488,021`	0.002	0.998	0.000
rs903107 lBF = `-0.0939653` Chr`17` : `71,061,934`	0.000	0.999	0.001
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.001
rs9905820 lBF = `-0.0883363` Chr`17` : `12,637,371`	0.000	0.999	0.001
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	0.999	0.001
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	0.999	0.001
rs7220711 lBF = `0.388513` Chr`17` : `41,789,965`	0.001	0.999	0.000
rs191241826 lBF = `0.00303601` Chr`17` : `38,953,327`	0.001	0.999	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	0.999	0.001
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.001	0.999	0.000
rs4793529 lBF = `4.52568` Chr`17` : `69,118,636`	0.001	0.999	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.001	0.999	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.001	0.999	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.999	0.001
rs7224488 lBF = `0.13188` Chr`17` : `54,868,625`	0.001	0.999	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	0.999	0.001
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.000	0.999	0.001
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.001	0.999	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.001	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.001	0.999	0.000
rs7207499 lBF = `-0.0518373` Chr`17` : `64,447,165`	0.000	0.999	0.001
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.001	0.999	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.001	0.999	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.001	0.999	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.001	0.999	0.000
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
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rs959260 lBF = `-0.0625843` Chr`17` : `73,369,422`	0.000	1.000	0.000
rs17780256 lBF = `-0.0818525` Chr`17` : `70,642,923`	0.000	1.000	0.000
rs7216389 lBF = `14.3028` Chr`17` : `38,069,949`	0.000	1.000	0.000
rs2290400 lBF = `13.5198` Chr`17` : `38,066,240`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.000	1.000	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.000	1.000	0.000
Affx-13926609 lBF = `8.66443` Chr`17` : `43,881,790`	0.000	1.000	0.000
Affx-13926945 lBF = `8.61102` Chr`17` : `43,906,828`	0.000	1.000	0.000
rs17689882 lBF = `8.49719` Chr`17` : `43,906,828`	0.000	1.000	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.000	1.000	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	1.000	0.000
rs2945412 lBF = `0.200736` Chr`17` : `25,843,643`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs2019872 lBF = `0.117668` Chr`17` : `2,010,318`	0.000	1.000	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.000	1.000	0.000
rs4796712 lBF = `-0.0238155` Chr`17` : `39,987,130`	0.000	1.000	0.000
rs6504950 lBF = `-0.0717123` Chr`17` : `53,056,471`	0.000	1.000	0.000
rs7210086 lBF = `-0.0844228` Chr`17` : `70,641,698`	0.000	1.000	0.000
rs8069176 lBF = `13.2041` Chr`17` : `38,057,197`	0.000	1.000	0.000
rs2305480 lBF = `13.0704` Chr`17` : `38,062,196`	0.000	1.000	0.000
rs11078927 lBF = `12.944` Chr`17` : `38,064,405`	0.000	1.000	0.000
Affx-13924026 lBF = `9.56415` Chr`17` : `43,723,189`	0.000	1.000	0.000
Affx-13923818 lBF = `9.15062` Chr`17` : `43,705,601`	0.000	1.000	0.000
rs8072451 lBF = `9.00684` Chr`17` : `43,893,716`	0.000	1.000	0.000
rs12373124 lBF = `8.97358` Chr`17` : `43,924,219`	0.000	1.000	0.000
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.000	1.000	0.000
rs62057144 lBF = `8.95384` Chr`17` : `43,901,558`	0.000	1.000	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.000	1.000	0.000
Affx-13926563 lBF = `8.9188` Chr`17` : `43,879,308`	0.000	1.000	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.000	1.000	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.000	1.000	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.000	1.000	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.000	1.000	0.000
Affx-13927245 lBF = `8.50198` Chr`17` : `43,924,073`	0.000	1.000	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.000	1.000	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.000	1.000	0.000
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.000	1.000	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.000	1.000	0.000
rs6503525 lBF = `6.47206` Chr`17` : `38,095,174`	0.000	1.000	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.000	1.000	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	1.000	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.000	1.000	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs28998802 lBF = `-0.0455744` Chr`17` : `26,124,908`	0.000	1.000	0.000
rs11870935 lBF = `-0.0465656` Chr`17` : `45,732,605`	0.000	1.000	0.000
rs11655237 lBF = `-0.0486758` Chr`17` : `70,400,166`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs2079515 lBF = `-0.10604` Chr`17` : `68,913,506`	0.000	1.000	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.000	1.000	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.000	1.000	0.000
rs12185268 lBF = `8.83648` Chr`17` : `43,923,683`	0.000	1.000	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.000	1.000	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.000	1.000	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.000	1.000	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.000	1.000	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.000	1.000	0.000
rs2696671 lBF = `8.05203` Chr`17` : `44,316,888`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	1.000	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	1.000	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs2071214 lBF = `0.0628075` Chr`17` : `76,219,591`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	1.000	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	1.000	0.000
rs28587833 lBF = `-0.0953642` Chr`17` : `78,511,327`	0.000	1.000	0.000
rs4795399 lBF = `13.6884` Chr`17` : `38,061,439`	0.000	1.000	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs111433752 lBF = `9.69291` Chr`17` : `43,857,989`	0.000	1.000	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.000	1.000	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.000	1.000	0.000
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.000	1.000	0.000
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.000	1.000	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.000	1.000	0.000
rs393152 lBF = `8.81827` Chr`17` : `43,719,143`	0.000	1.000	0.000
Affx-13927230 lBF = `8.8163` Chr`17` : `43,923,266`	0.000	1.000	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.000	1.000	0.000
Affx-13931266 lBF = `8.6395` Chr`17` : `44,159,102`	0.000	1.000	0.000
Affx-13925359 lBF = `8.63146` Chr`17` : `43,804,619`	0.000	1.000	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.000	1.000	0.000
rs62057061 lBF = `7.97487` Chr`17` : `43,856,639`	0.000	1.000	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	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 X0298

log Bayes Factor = 220.671

contains 1 variants

0.9908

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.9702

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2617

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

1.0000

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9909

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.9656

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8728

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.8651

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8410

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7215

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6916

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6640

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6315

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6295

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5895

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4898

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4880

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4728

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4396

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4164

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3828

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3750

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3171

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3088

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2654

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2552

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2305

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.2179

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2016

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.1993

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1875

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1679

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1601

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1417

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1254

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1249

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1191

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1181

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1133

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1098

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1093

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1088

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1087

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1073

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1071

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1071

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1001

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0902

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0789

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0694

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0692

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0631

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0607

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0584

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0564

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0530

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.0507

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0504

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`)