TreeWAS – [H00.0] Hordeolum and other deep inflammation 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
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.619	0.381	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.592	0.408	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.583	0.417	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.533	0.467	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.502	0.498	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.464	0.536	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.452	0.548	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.452	0.548	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.445	0.555	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.434	0.566	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.434	0.566	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.401	0.599	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.394	0.605	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.387	0.613	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.379	0.620	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.376	0.624	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.354	0.646	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.351	0.649	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.330	0.670	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.329	0.671	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.317	0.683	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.300	0.700	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.290	0.710	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.286	0.713	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.282	0.717	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.278	0.722	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.275	0.725	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.274	0.725	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.272	0.728	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.269	0.731	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.256	0.744	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.244	0.755	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.234	0.766	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.232	0.768	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.225	0.775	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.216	0.784	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.211	0.789	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.207	0.793	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.204	0.796	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.191	0.809	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.186	0.814	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.185	0.814	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.169	0.831	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.169	0.831	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.150	0.850	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.144	0.855	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.139	0.861	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.133	0.867	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.132	0.867	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.111	0.889	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.105	0.895	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.090	0.910	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	0.912	0.088
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.087	0.913	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.086	0.914	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.077	0.923	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.071	0.929	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.070	0.930	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.069	0.930	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.068	0.931	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.065	0.931	0.003
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.059	0.940	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.057	0.942	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.051	0.949	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.049	0.950	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.046	0.954	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.045	0.955	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.040	0.960	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.036	0.964	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.965	0.035
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.034	0.966	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.032	0.968	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.028	0.972	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.024	0.976	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.024	0.976	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.017	0.983	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.017	0.983	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.015	0.984	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.015	0.985	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.014	0.985	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.013	0.986	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.012	0.987	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.012	0.988	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.011	0.989	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.010	0.990	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.009	0.990	0.001
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.008	0.992	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.007	0.993	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.006	0.993	0.001
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.007	0.993	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.006	0.994	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.006	0.994	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.006	0.994	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	0.995	0.005
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.005	0.995	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.004	0.996	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.004	0.996	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.004	0.996	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.004	0.996	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.004	0.996	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.003	0.997	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.003	0.997	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.003	0.997	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.002	0.997	0.001
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.002	0.998	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.002	0.998	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	0.998	0.002
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.002	0.998	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.998	0.002
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.002	0.998	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.002	0.998	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.002	0.998	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.998	0.001
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.998	0.002
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	0.998	0.002
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.002	0.998	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	0.999	0.001
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	0.999	0.001
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.001
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	0.999	0.001
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	0.999	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	0.999	0.001
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.999	0.001
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.001
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	0.999	0.001
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.001
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.001
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.001	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.001
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.001	0.999	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	0.999	0.001
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.001
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.001	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	0.999	0.001
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.001	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.001	0.999	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.001
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.001	0.999	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.999	0.001
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.000	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.001
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.001	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.001	0.999	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.001	0.999	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	0.999	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	0.999	0.001
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rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000

This table lists the top 491 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 X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9723

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9551

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9496

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9029

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8986

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8918

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8911

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8186

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8077

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8050

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7975

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7946

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7753

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7695

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7534

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7340

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7216

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7008

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6939

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6855

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6789

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6589

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6408

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6373

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6350

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6133

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6130

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5952

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5925

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5891

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5881

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5875

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5695

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5624

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5550

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5550

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5486

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5483

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5368

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5352

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5314

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5182

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5168

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5097

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5088

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5022

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4973

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4951

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4885

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4779

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4764

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4746

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4666

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4642

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4627

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4507

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4168

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4152

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3980

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3762

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3749

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3616

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3507

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3390

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3369

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3243

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3220

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3050

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3035

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3032

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2953

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2931

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2829

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2803

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2745

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2741

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2709

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2624

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2528

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2465

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2464

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2454

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2405

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2373

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2371

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2357

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2345

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2318

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2296

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2216

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2206

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2179

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2080

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1982

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1919

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1916

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1904

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1821

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1802

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1722

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1699

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1601

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1595

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1555

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1505

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1422

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1395

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1355

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1284

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1280

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1262

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1246

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1244

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1228

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1205

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1196

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1182

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1175

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1158

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1140

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1135

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1117

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1104

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.1068

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1062

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1048

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1044

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1003

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0975

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0972

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0935

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0932

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0894

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0819

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0781

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0769

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0764

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0764

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0761

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0754

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0744

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0714

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0675

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0584

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0565

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0556

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0536

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0532

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0532

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0528

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0509

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0506

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0506

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0505

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`)