TreeWAS – [H35.2] Other proliferative retinopathy

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
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.779	0.221	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.693	0.307	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.663	0.337	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.646	0.354	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.644	0.356	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.628	0.372	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.558	0.442	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.520	0.480	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.514	0.485	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.514	0.485	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.512	0.488	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.509	0.491	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.484	0.515	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.478	0.522	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.431	0.569	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.430	0.570	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.428	0.572	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.417	0.583	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.409	0.591	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.387	0.612	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.358	0.642	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.353	0.647	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.332	0.667	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.328	0.672	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.319	0.681	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.305	0.695	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.305	0.695	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.302	0.698	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.299	0.701	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.297	0.702	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.284	0.716	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.260	0.740	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.256	0.744	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.244	0.756	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.241	0.759	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.226	0.774	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.224	0.776	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.209	0.791	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.209	0.791	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.204	0.795	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.200	0.800	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.165	0.835	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.161	0.839	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.158	0.842	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.155	0.845	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.153	0.846	0.001
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.146	0.854	0.001
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.140	0.860	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.138	0.862	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.123	0.876	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.101	0.898	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.097	0.903	0.001
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.097	0.903	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.092	0.908	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.080	0.920	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.074	0.925	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.068	0.932	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.061	0.938	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.059	0.940	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.056	0.944	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.054	0.946	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.052	0.948	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.046	0.954	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.042	0.957	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.040	0.959	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.038	0.962	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.037	0.963	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.034	0.965	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.031	0.969	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.028	0.972	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.026	0.972	0.002
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.027	0.973	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.022	0.978	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.020	0.980	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.020	0.980	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.017	0.982	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.016	0.984	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.016	0.984	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.014	0.986	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.987	0.013
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.013	0.987	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.011	0.989	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.010	0.989	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.007	0.993	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.007	0.993	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.994	0.006
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.005	0.994	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.005	0.994	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.005	0.995	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.005	0.995	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.004	0.996	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.004	0.996	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.003	0.997	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.003	0.997	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.997	0.003
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.997	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.002	0.998	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.998	0.002
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
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.998	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.001	0.998	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.001
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	0.999	0.001
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	0.999	0.001
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.001	0.999	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	0.999	0.001
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	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
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
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.001
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.001
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.001
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.999	0.001
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.001	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.001	0.999	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.000	0.999	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.999	0.001
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.999	0.001
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	0.999	0.001
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	0.999	0.001
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	0.999	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.001	0.999	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.001	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.001	0.999	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.001	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	0.999	0.001
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	0.999	0.001
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
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rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	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
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	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
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
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	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
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	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
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	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
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	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
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
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	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 X0329

log Bayes Factor = 21.7039

contains 2 variants

0.0861

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9951

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9796

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9581

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9263

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9125

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9025

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8911

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8871

Cluster X0308

log Bayes Factor = 33.8955

contains 3 variants

0.8819

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8677

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8584

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8574

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8530

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8427

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8372

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8361

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8332

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8306

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8289

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8266

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8257

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8184

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8171

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8133

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8081

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8017

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7974

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7968

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7938

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7895

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7672

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7645

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7504

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7493

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7434

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7425

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7293

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7168

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7164

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7156

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7156

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7150

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7139

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7132

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7124

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7117

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7100

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7067

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7040

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7009

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7005

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6974

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6967

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6967

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6950

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6929

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6923

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6923

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6893

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6850

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6848

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6823

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6807

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6690

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6604

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6596

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6543

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6445

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6345

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6324

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6278

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6214

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6156

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6129

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5956

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5878

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5654

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5629

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5597

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5566

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5551

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5545

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5498

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5430

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5253

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5110

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5005

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4992

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4988

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4945

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4940

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4895

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4881

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4794

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4714

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4593

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4543

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4369

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4238

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4055

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3813

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3776

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3756

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3720

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3710

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.3416

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3247

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3193

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3137

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3089

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3080

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3055

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3055

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3055

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2963

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2873

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2818

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2649

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2637

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2443

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2424

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2386

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2320

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2200

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2190

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2089

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2034

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1949

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1828

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1805

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1780

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1763

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1658

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1610

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1589

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1484

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1460

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1377

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1376

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1343

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1329

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1271

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1248

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1242

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1186

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1157

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1129

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1077

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1036

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0900

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0845

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0819

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0807

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0783

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0735

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0704

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0559

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0518

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`)