TreeWAS – [H02] Other disorders of eyelid

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
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.999	0.001	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.975	0.025	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.966	0.034	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.949	0.051	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.935	0.065	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.902	0.098	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.893	0.107	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.890	0.110	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.888	0.112	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.818	0.182	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.790	0.210	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.772	0.228	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.746	0.254	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.701	0.299	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.696	0.304	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.681	0.319	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.677	0.323	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.672	0.328	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.656	0.344	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.632	0.368	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.626	0.374	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.621	0.379	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.607	0.393	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.606	0.394	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.601	0.399	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.559	0.441	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.541	0.459	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.532	0.468	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.514	0.486	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.466	0.534	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.440	0.560	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.415	0.585	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.408	0.592	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.401	0.599	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.336	0.664	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.331	0.669	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.322	0.678	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.322	0.678	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.322	0.678	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.319	0.681	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.268	0.732	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.268	0.732	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.262	0.738	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.257	0.743	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.251	0.749	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.248	0.751	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.246	0.754	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.246	0.754	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.236	0.764	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.220	0.780	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.220	0.780	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.194	0.806	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.187	0.813	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.184	0.816	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.182	0.818	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.173	0.827	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.161	0.839	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.159	0.841	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.156	0.844	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.155	0.845	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.144	0.856	0.001
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.143	0.857	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.141	0.859	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.141	0.859	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.140	0.860	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.135	0.865	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.126	0.874	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.122	0.877	0.001
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.122	0.878	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.120	0.880	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.119	0.881	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.116	0.884	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.112	0.887	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.112	0.888	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.104	0.895	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.098	0.902	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.092	0.908	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.086	0.913	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.086	0.914	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.071	0.929	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.064	0.934	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.063	0.937	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.062	0.938	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.061	0.939	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.060	0.940	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.060	0.940	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	0.941	0.059
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.051	0.949	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.050	0.950	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.048	0.952	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.047	0.953	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.045	0.955	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.045	0.955	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.044	0.956	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.043	0.957	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.042	0.958	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.038	0.962	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.035	0.965	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.035	0.965	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.035	0.965	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.034	0.966	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.032	0.968	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.030	0.970	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.029	0.970	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.029	0.971	0.001
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.028	0.971	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.005	0.972	0.023
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.024	0.976	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.024	0.976	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.019	0.978	0.003
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.020	0.979	0.001
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.001	0.980	0.019
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.018	0.981	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.012	0.982	0.006
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.983	0.017
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.017	0.983	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.016	0.984	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.014	0.986	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.014	0.986	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.986	0.014
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.000	0.987	0.013
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.013	0.987	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.010	0.988	0.002
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.012	0.988	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.012	0.988	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.011	0.988	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.011	0.989	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.011	0.989	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.010	0.990	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.009	0.991	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.000	0.991	0.008
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.006	0.992	0.002
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.007	0.993	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	0.993	0.007
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.007	0.993	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.002	0.994	0.004
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.000	0.994	0.006
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.006	0.994	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.006	0.994	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.006	0.994	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.000	0.995	0.005
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.005	0.995	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.005	0.995	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.004	0.995	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.000	0.996	0.004
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	0.996	0.004
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	0.996	0.004
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.004	0.996	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.004	0.996	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.003	0.996	0.001
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	0.996	0.004
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.004	0.996	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	0.996	0.004
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	0.996	0.004
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.003	0.996	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.004	0.996	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	0.997	0.003
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	0.997	0.003
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	0.997	0.003
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.000	0.997	0.003
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.000	0.997	0.003
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.000	0.997	0.003
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.003	0.997	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.000	0.997	0.003
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.000	0.997	0.003
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	0.997	0.003
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.003	0.997	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	0.997	0.003
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.003	0.997	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	0.997	0.003
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.997	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.997	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	0.997	0.003
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.002	0.998	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.002	0.998	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	0.998	0.002
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	0.998	0.002
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	0.998	0.002
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	0.998	0.002
rs476633 lBF = `-0.0234962` Chr`15` : `41,392,134`	0.000	0.998	0.002
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	0.998	0.002
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	0.998	0.002
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.002	0.998	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.002	0.998	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.000	0.998	0.002
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.002	0.998	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	0.998	0.002
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	0.998	0.002
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	0.998	0.002
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	0.998	0.002
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.002	0.998	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	0.998	0.002
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	0.998	0.002
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.001	0.998	0.000
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rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	1.000	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs12595292 lBF = `-0.0210448` Chr`15` : `65,153,690`	0.000	1.000	0.000
rs12593813 lBF = `-0.0607882` Chr`15` : `68,036,852`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	1.000	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	1.000	0.000
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	1.000	0.000
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.000	1.000	0.000
rs1550576 lBF = `0.0885264` Chr`15` : `58,213,414`	0.000	1.000	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	1.000	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	1.000	0.000
rs28374715 lBF = `-0.0824573` Chr`15` : `41,563,950`	0.000	1.000	0.000
rs3813565 lBF = `13.1694` Chr`15` : `79,019,610`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	1.000	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs950776 lBF = `0.199223` Chr`15` : `78,926,018`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	1.000	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.000	1.000	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs16949788 lBF = `-0.0199512` Chr`15` : `66,590,037`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs1559777 lBF = `-0.0734956` Chr`15` : `58,080,617`	0.000	1.000	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	1.000	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	1.000	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	1.000	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	1.000	0.000
rs12907764 lBF = `12.9263` Chr`15` : `79,070,438`	0.000	1.000	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	1.000	0.000
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.000	1.000	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	1.000	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	1.000	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	1.000	0.000
rs1440372 lBF = `0.213928` Chr`15` : `67,033,151`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs2554380 lBF = `0.093174` Chr`15` : `84,315,884`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs2562784 lBF = `-0.044072` Chr`15` : `84,286,492`	0.000	1.000	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	1.000	0.000
rs11071657 lBF = `-0.0989686` Chr`15` : `62,433,962`	0.000	1.000	0.000
rs11634543 lBF = `13.7153` Chr`15` : `79,005,504`	0.000	1.000	0.000
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	1.000	0.000
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.000	1.000	0.000
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.000	1.000	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.000	1.000	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	1.000	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	1.000	0.000
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.000	1.000	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	1.000	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	1.000	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	1.000	0.000
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	1.000	0.000
rs893818 lBF = `0.653614` Chr`15` : `74,229,195`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	1.000	0.000
rs17536527 lBF = `0.0983696` Chr`15` : `45,719,187`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

1.0000

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9997

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9954

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9953

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9936

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9921

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9894

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9799

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9696

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9556

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9525

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9419

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9399

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8282

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8141

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7637

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7363

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7018

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6501

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6481

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6228

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5994

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5408

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5332

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4648

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4614

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4228

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3868

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3672

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3634

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3594

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2987

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2894

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2610

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2493

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2394

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2183

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2081

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1795

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1551

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1478

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1386

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1315

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1050

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0955

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0906

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0880

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0819

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0775

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0769

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0767

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0750

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0731

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0701

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0690

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0660

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0601

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0584

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0562

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0525

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	H00-H06 Disorders of eyelid, lacrimal system and orbit
Nested terms	H02.0 Entropion and trichiasis of eyelid H02.1 Ectropion of eyelid H02.2 Lagophthalmos H02.3 Blepharochalasis H02.4 Ptosis of eyelid H02.5 Other disorders affecting eyelid function H02.6 Xanthelasma of eyelid H02.7 Other degenerative disorders of eyelid and periocular area H02.8 Other specified disorders of eyelid H02.9 Disorder of eyelid, 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`)