TreeWAS – [Z42.0] Follow-up care involving plastic surgery of head and neck

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
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.674	0.326	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.669	0.331	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.648	0.352	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.605	0.395	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.570	0.429	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.546	0.454	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.541	0.459	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.540	0.460	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.487	0.513	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.473	0.527	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.470	0.530	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.470	0.530	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.468	0.532	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.453	0.547	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.439	0.561	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.428	0.571	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.427	0.573	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.416	0.584	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.410	0.590	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.399	0.601	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.347	0.653	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.344	0.655	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.331	0.668	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.322	0.678	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.318	0.682	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.300	0.700	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.291	0.709	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.273	0.727	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.272	0.727	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.267	0.733	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.266	0.734	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.246	0.754	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.233	0.767	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.224	0.776	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.224	0.776	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.223	0.777	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.215	0.784	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.208	0.792	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.188	0.811	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.177	0.823	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.160	0.839	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.160	0.840	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.140	0.859	0.001
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.138	0.862	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.136	0.863	0.001
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.137	0.863	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.128	0.872	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.126	0.874	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.123	0.877	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.120	0.879	0.001
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.115	0.885	0.001
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.115	0.885	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.096	0.903	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.093	0.907	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.087	0.912	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.082	0.917	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.069	0.931	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.064	0.936	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.063	0.936	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.057	0.943	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.049	0.951	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.043	0.957	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.042	0.958	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.038	0.961	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.037	0.963	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.035	0.964	0.001
rs11078597 lBF = `0.389191` Chr`17` : `1,618,363`	0.034	0.966	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.967	0.033
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.032	0.968	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.031	0.969	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.029	0.971	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.026	0.973	0.001
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.027	0.973	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.024	0.976	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.021	0.979	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.021	0.979	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.019	0.981	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	0.982	0.018
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.018	0.982	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.017	0.983	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.014	0.986	0.001
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.013	0.987	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.012	0.988	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.011	0.989	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.011	0.989	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.009	0.991	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.008	0.991	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.008	0.992	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.007	0.992	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	0.993	0.007
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.007	0.993	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.007	0.993	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.007	0.993	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.007	0.993	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.007	0.993	0.000
rs6501431 lBF = `-0.0996646` Chr`17` : `68,976,415`	0.000	0.993	0.007
rs9674544 lBF = `-0.073829` Chr`17` : `47,084,711`	0.000	0.994	0.006
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.006	0.994	0.000
rs1877031 lBF = `8.48035` Chr`17` : `37,814,080`	0.006	0.994	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.005	0.995	0.000
rs11869286 lBF = `8.76406` Chr`17` : `37,813,856`	0.005	0.995	0.000
rs9908102 lBF = `0.0664821` Chr`17` : `12,896,553`	0.000	0.995	0.005
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.005	0.995	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.005	0.995	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.004	0.996	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.004	0.996	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.004	0.996	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.004	0.996	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.004	0.996	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	0.997	0.003
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs1994969 lBF = `-0.0480495` Chr`17` : `47,080,431`	0.000	0.997	0.003
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.003	0.997	0.000
rs17779747 lBF = `-0.10726` Chr`17` : `68,494,992`	0.003	0.997	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.003	0.997	0.000
rs11650494 lBF = `0.304926` Chr`17` : `47,345,186`	0.000	0.997	0.003
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.003	0.997	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	0.997	0.003
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.002	0.998	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.002	0.998	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.002	0.998	0.000
rs2075555 lBF = `-0.0425031` Chr`17` : `48,274,291`	0.000	0.998	0.002
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.002	0.998	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.002	0.998	0.000
rs9972882 lBF = `7.99769` Chr`17` : `37,807,698`	0.002	0.998	0.000
rs9916302 lBF = `0.025262` Chr`17` : `37,499,949`	0.002	0.998	0.000
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.000	0.998	0.002
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.002	0.998	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	0.998	0.002
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.002	0.998	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.001	0.998	0.001
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.001	0.998	0.001
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.002	0.998	0.000
rs9635759 lBF = `-0.0807129` Chr`17` : `49,613,785`	0.002	0.998	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.998	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.002	0.998	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.002	0.998	0.000
rs11079757 lBF = `-0.0562497` Chr`17` : `45,195,850`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.002	0.998	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.001	0.998	0.000
rs7211079 lBF = `-0.0664865` Chr`17` : `78,107,537`	0.000	0.999	0.001
rs1872085 lBF = `-0.0699987` Chr`17` : `71,528,080`	0.001	0.999	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.999	0.001
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	0.999	0.001
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.001	0.999	0.000
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.001	0.999	0.000
rs74618301 lBF = `5.19595` Chr`17` : `52,933,266`	0.001	0.999	0.000
rs11079740 lBF = `-0.0411601` Chr`17` : `44,949,100`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs312691 lBF = `-0.00062114` Chr`17` : `68,326,338`	0.000	0.999	0.001
rs2411984 lBF = `-0.0436694` Chr`17` : `47,445,751`	0.000	0.999	0.001
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	0.999	0.001
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	0.999	0.001
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.001	0.999	0.000
rs7219014 lBF = `0.0314524` Chr`17` : `37,624,790`	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
rs9905704 lBF = `0.685603` Chr`17` : `56,632,543`	0.000	0.999	0.001
rs76839023 lBF = `0.0477737` Chr`17` : `51,275,574`	0.000	0.999	0.001
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
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
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	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
rs116284889 lBF = `0` Chr`17` : `56,316,722`	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
rs144908958 lBF = `0` Chr`17` : `31,532,414`	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
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs891684 lBF = `-0.0303389` Chr`17` : `70,713,539`	0.001	0.999	0.000
rs4789580 lBF = `-0.0584139` Chr`17` : `76,311,991`	0.001	0.999	0.000
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	0.999	0.001
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
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rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	1.000	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs3826538 lBF = `0.00256592` Chr`17` : `1,794,208`	0.000	1.000	0.000
rs8065772 lBF = `-0.00019853` Chr`17` : `64,842,925`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs2613514 lBF = `-0.0225853` Chr`17` : `76,110,518`	0.000	1.000	0.000
rs8070473 lBF = `-0.0358532` Chr`17` : `33,843,512`	0.000	1.000	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	1.000	0.000
rs227726 lBF = `-0.0638644` Chr`17` : `54,777,585`	0.000	1.000	0.000
rs2060070 lBF = `-0.0718786` Chr`17` : `54,123,973`	0.000	1.000	0.000
rs8067165 lBF = `-0.0740107` Chr`17` : `8,031,936`	0.000	1.000	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs2072153 lBF = `3.35797` Chr`17` : `47,390,014`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs4789939 lBF = `0.0620522` Chr`17` : `76,881,703`	0.000	1.000	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	1.000	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	1.000	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs1396515 lBF = `-0.00082143` Chr`17` : `68,430,993`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs2935183 lBF = `-0.018225` Chr`17` : `45,607,572`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.000	1.000	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	1.000	0.000
rs4343 lBF = `-0.0859132` Chr`17` : `61,566,031`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs7219021 lBF = `3.96297` Chr`17` : `46,840,541`	0.000	1.000	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.000	1.000	0.000
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.000	1.000	0.000
rs169313 lBF = `0.704072` Chr`17` : `10,567,483`	0.000	1.000	0.000
rs11650066 lBF = `0.573506` Chr`17` : `32,287,449`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs6761 lBF = `0.117299` Chr`17` : `7,417,663`	0.000	1.000	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	1.000	0.000
rs6502557 lBF = `0.0196252` Chr`17` : `16,960,978`	0.000	1.000	0.000
rs584438 lBF = `0.00812806` Chr`17` : `38,599,172`	0.000	1.000	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs8077577 lBF = `-0.0325183` Chr`17` : `18,064,730`	0.000	1.000	0.000
rs8072100 lBF = `-0.0332638` Chr`17` : `45,674,687`	0.000	1.000	0.000
rs227724 lBF = `-0.0418164` Chr`17` : `54,778,817`	0.000	1.000	0.000
rs9902403 lBF = `-0.0502294` Chr`17` : `2,827,958`	0.000	1.000	0.000
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	1.000	0.000
rs72832584 lBF = `-0.0533468` Chr`17` : `59,292,436`	0.000	1.000	0.000
rs9912468 lBF = `-0.0734971` Chr`17` : `64,318,357`	0.000	1.000	0.000
rs7219669 lBF = `-0.104703` Chr`17` : `68,521,861`	0.000	1.000	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.000	1.000	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.000	1.000	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.000	1.000	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs2257205 lBF = `0.410957` Chr`17` : `56,448,297`	0.000	1.000	0.000
rs57968458 lBF = `0.235154` Chr`17` : `16,820,099`	0.000	1.000	0.000
rs9302874 lBF = `0.187817` Chr`17` : `76,280,560`	0.000	1.000	0.000
rs4924935 lBF = `0.131716` Chr`17` : `18,753,870`	0.000	1.000	0.000
rs72823592 lBF = `0.0220647` Chr`17` : `46,123,004`	0.000	1.000	0.000
rs9901756 lBF = `-0.0125876` Chr`17` : `32,464,154`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs17052344 lBF = `-0.0719989` Chr`17` : `21,717,543`	0.000	1.000	0.000
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
rs318095 lBF = `0.767402` Chr`17` : `46,974,734`	0.000	1.000	0.000
rs46522 lBF = `0.667709` Chr`17` : `46,988,597`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs4561508 lBF = `0.00038807` Chr`17` : `16,848,750`	0.000	1.000	0.000
rs4985726 lBF = `-0.020363` Chr`17` : `16,863,638`	0.000	1.000	0.000
rs1000791 lBF = `-0.0308267` Chr`17` : `77,265,878`	0.000	1.000	0.000
rs17138064 lBF = `-0.0383283` Chr`17` : `35,189,091`	0.000	1.000	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	1.000	0.000
rs10512597 lBF = `-0.0449024` Chr`17` : `72,699,833`	0.000	1.000	0.000
rs1015657 lBF = `-0.0665226` Chr`17` : `68,878,487`	0.000	1.000	0.000
rs4362 lBF = `-0.0889821` Chr`17` : `61,573,761`	0.000	1.000	0.000
rs7477 lBF = `-0.0892816` Chr`17` : `16,246,016`	0.000	1.000	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs3751913 lBF = `2.08637` Chr`17` : `80,405,552`	0.000	1.000	0.000
rs4794822 lBF = `1.70366` Chr`17` : `38,156,712`	0.000	1.000	0.000
rs8078723 lBF = `1.62102` Chr`17` : `38,166,879`	0.000	1.000	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6271

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2541

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9834

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9833

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9669

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9610

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9556

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9548

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9312

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8922

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8817

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8770

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8762

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8638

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8528

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8322

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8221

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8206

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8192

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8159

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8074

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7764

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7582

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7481

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7467

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7447

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7212

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7062

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7002

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6965

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6955

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6732

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6701

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6694

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6601

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6459

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6132

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6116

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6066

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6055

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5990

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5714

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5624

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5074

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4653

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4639

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4620

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4479

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4364

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4279

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4244

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4157

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4150

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4097

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3987

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3633

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3584

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3578

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3566

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3501

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3489

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3456

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3447

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3332

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3264

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3231

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3228

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3222

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2924

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2675

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2640

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2604

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2186

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2162

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2128

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2094

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2073

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2047

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1963

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1963

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1951

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1746

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1729

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1705

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1696

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1668

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1661

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1646

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1638

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1583

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1582

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1484

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1482

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1431

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1423

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1408

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1396

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1315

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1311

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1250

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1238

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1213

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1201

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1129

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1122

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1112

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1042

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1036

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0979

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0965

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0910

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0904

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0792

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0773

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0742

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0735

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0720

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0713

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0683

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0624

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0620

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0618

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0609

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0600

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0600

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0598

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0587

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0567

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0564

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0552

Cluster X0111

log Bayes Factor = 403.183

contains 18 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)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)