TreeWAS – [J30-J39] Other diseases of upper respiratory tract

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
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	1.000	0.000	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.997	0.003	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.983	0.017	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.974	0.026	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.961	0.039	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.949	0.051	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.941	0.059	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.938	0.062	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.902	0.098	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.882	0.118	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.833	0.167	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.831	0.169	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.776	0.224	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.742	0.258	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.739	0.261	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.704	0.296	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.696	0.304	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.689	0.311	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.670	0.330	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.653	0.347	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.652	0.348	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.651	0.349	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.650	0.350	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.628	0.372	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.625	0.375	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.589	0.411	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.567	0.433	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.484	0.516	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.424	0.576	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.420	0.580	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.403	0.597	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.395	0.605	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.352	0.648	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.322	0.678	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.317	0.682	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.314	0.685	0.001
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.307	0.693	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.299	0.701	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.286	0.713	0.001
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.285	0.715	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.275	0.725	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.261	0.739	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.222	0.778	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.218	0.782	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.217	0.783	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.194	0.806	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.172	0.828	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.159	0.841	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.152	0.848	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.148	0.852	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.140	0.860	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.138	0.862	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.126	0.873	0.001
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.119	0.881	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.112	0.888	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.111	0.888	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.107	0.893	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.100	0.900	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.095	0.905	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.086	0.914	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.081	0.919	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.080	0.920	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.075	0.925	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.061	0.939	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.058	0.942	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.055	0.945	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.047	0.953	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.043	0.957	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.035	0.965	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.975	0.025
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.025	0.975	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.024	0.976	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.978	0.022
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.021	0.979	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.018	0.982	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.014	0.986	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.011	0.989	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.011	0.989	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.009	0.991	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.008	0.992	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.007	0.992	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.007	0.993	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.007	0.993	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.007	0.993	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.007	0.993	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.007	0.993	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.007	0.993	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.006	0.994	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.006	0.994	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.006	0.994	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.006	0.994	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.005	0.994	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.005	0.995	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.005	0.995	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.004	0.995	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.004	0.996	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	0.996	0.004
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.003	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.003	0.997	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.997	0.003
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.003	0.997	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.002	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.002	0.998	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.002	0.998	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	0.998	0.002
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.998	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
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
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.001	0.999	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.999	0.001
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	1.000	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	1.000	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	1.000	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	1.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	1.000	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	1.000	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
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rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	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
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
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	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
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
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	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
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	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
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	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
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	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
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	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
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	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
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	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
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3816

Cluster X0216

log Bayes Factor = 162.135

contains 6 variants

0.3644

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.0578

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

1.0000

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

1.0000

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

1.0000

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

1.0000

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9999

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9999

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9999

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9998

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9998

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9998

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9996

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9993

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9992

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9992

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9991

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9989

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9989

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9987

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9984

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9982

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9979

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9978

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9978

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9973

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9962

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9960

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.9955

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9954

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.9936

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9902

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9859

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9843

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9823

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9759

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9758

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.9743

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9731

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9716

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9675

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9630

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9628

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9609

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9597

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9555

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9545

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9544

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9522

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9367

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9314

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9252

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9247

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9195

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9176

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9176

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9153

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9122

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9101

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9047

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9044

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9043

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9028

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8937

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8780

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8750

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8618

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8585

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8248

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8047

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8026

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7685

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7403

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7338

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7301

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7179

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6774

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6758

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6688

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6393

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6327

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6186

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6058

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4962

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4880

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4759

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4644

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4300

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4291

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4246

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4193

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4184

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4117

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3673

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3623

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3403

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3367

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3343

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3277

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2795

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2748

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2743

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2573

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2310

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2198

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1980

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1870

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1728

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1619

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1567

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1488

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1485

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1138

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0983

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0975

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0819

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0809

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0765

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0735

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0611

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`)