TreeWAS – [H34.8] Other retinal vascular occlusions

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
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.864	0.136	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.656	0.344	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.636	0.364	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.635	0.365	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.628	0.372	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.627	0.373	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.615	0.385	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.535	0.465	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.524	0.476	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.517	0.483	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.515	0.485	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.507	0.493	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.460	0.540	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.434	0.566	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.432	0.568	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.431	0.569	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.416	0.584	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.397	0.603	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.396	0.604	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.392	0.607	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.384	0.616	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.371	0.629	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.368	0.632	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.367	0.632	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.367	0.633	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.366	0.633	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.358	0.642	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.356	0.644	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.347	0.653	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.342	0.658	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.325	0.675	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.304	0.695	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.296	0.704	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.290	0.710	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.283	0.717	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.268	0.732	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.261	0.739	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.241	0.759	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.237	0.763	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.234	0.766	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.230	0.769	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.220	0.780	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.205	0.794	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.190	0.810	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.174	0.826	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.170	0.829	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.168	0.832	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.162	0.838	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.153	0.847	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.147	0.853	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.144	0.856	0.001
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.116	0.884	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.111	0.888	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.107	0.893	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.090	0.910	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.088	0.912	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.081	0.919	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.080	0.919	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.078	0.922	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.077	0.923	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.070	0.930	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.062	0.937	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.062	0.938	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.058	0.942	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.050	0.949	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.050	0.950	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.048	0.952	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.046	0.954	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.042	0.956	0.001
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.041	0.959	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.037	0.963	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.037	0.963	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.030	0.970	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.027	0.972	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.025	0.974	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.023	0.977	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.022	0.978	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.016	0.983	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.016	0.984	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.014	0.986	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.986	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.011	0.989	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.009	0.991	0.001
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.009	0.991	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.009	0.991	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	0.992	0.008
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.006	0.993	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.993	0.007
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.007	0.993	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.994	0.006
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.006	0.994	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.005	0.994	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.006	0.994	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.005	0.995	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.005	0.995	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.995	0.005
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.005	0.995	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.004	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.004	0.996	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.996	0.004
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.004	0.996	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.003	0.997	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.003	0.997	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.003	0.997	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.997	0.003
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.997	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.997	0.002
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.998	0.002
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.002	0.998	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.998	0.002
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.002	0.998	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.002	0.998	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.002	0.998	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.002	0.998	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.002	0.998	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.002	0.998	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.998	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	0.998	0.002
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.999	0.001
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	0.999	0.001
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.001	0.999	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.999	0.001
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.001	0.999	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.001	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	0.999	0.001
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.001	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.001	0.999	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.999	0.001
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.001
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	0.999	0.001
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.001	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.001	0.999	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	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
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.001	0.999	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.001	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.999	0.001
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.001	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.001	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.001
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.999	0.001
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.001
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.001	0.999	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	0.999	0.001
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.999	0.001
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.999	0.001
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	0.999	0.001
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	0.999	0.001
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	0.999	0.001
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.001
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.001
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.001
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.001
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.001	0.999	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	0.999	0.001
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.001	0.999	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.001
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	0.999	0.001
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.001
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	0.999	0.001
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rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	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
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	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
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	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
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	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)

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.2715

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9981

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9856

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9642

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9638

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9144

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8969

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8936

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8879

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8770

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8741

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8730

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8516

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8290

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8279

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8009

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7950

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7927

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7904

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7899

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7528

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7501

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7461

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7389

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7259

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7194

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7091

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7065

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6993

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6935

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6897

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6722

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6557

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6418

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6192

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6068

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5959

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5523

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5292

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5256

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5221

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5167

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5039

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4734

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4587

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4582

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4566

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4450

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4254

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4081

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3990

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3908

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3773

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3767

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3722

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3708

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3626

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3585

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3573

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3494

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3397

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3335

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3183

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3149

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3114

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3099

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.3095

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3024

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2982

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2876

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2829

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2762

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2688

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2641

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2572

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2534

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2328

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2300

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2291

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2290

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2219

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2196

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2174

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2143

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2140

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2136

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2107

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2043

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1995

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1984

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1984

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1881

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1871

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1755

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1748

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1730

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1726

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1701

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1692

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1686

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1661

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1627

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1603

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1589

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1581

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1570

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1504

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1483

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1431

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1372

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1359

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1339

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1310

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1272

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1237

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1212

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1208

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1187

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1178

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1176

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1137

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1110

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1102

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1064

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1007

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0980

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0916

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0901

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0883

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0850

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0829

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0778

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0736

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0692

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0683

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0669

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0655

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0586

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0581

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`)