TreeWAS – [J32.3] Chronic sphenoidal sinusitis

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`	0.681	0.318	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.671	0.329	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.650	0.350	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.577	0.423	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.492	0.508	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.434	0.566	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.428	0.572	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.395	0.605	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.384	0.616	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.367	0.633	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.360	0.640	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.358	0.642	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.354	0.646	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.350	0.650	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.336	0.664	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.326	0.673	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.318	0.682	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.303	0.696	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.301	0.699	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.289	0.711	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.274	0.726	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.266	0.734	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.261	0.739	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.256	0.744	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.248	0.752	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.246	0.754	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.216	0.783	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.206	0.794	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.199	0.800	0.001
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.195	0.805	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.185	0.815	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.181	0.819	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.170	0.830	0.001
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.165	0.835	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.152	0.848	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.147	0.853	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.134	0.865	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.123	0.876	0.001
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.123	0.876	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.122	0.878	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.120	0.880	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.101	0.899	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.092	0.907	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.077	0.923	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.067	0.932	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.065	0.934	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.063	0.937	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.059	0.941	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.055	0.945	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.055	0.945	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.054	0.946	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.051	0.949	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.049	0.951	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.041	0.958	0.001
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.041	0.958	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.041	0.958	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.041	0.959	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.040	0.960	0.001
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.039	0.960	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.038	0.961	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.036	0.964	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.034	0.966	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.030	0.969	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.028	0.972	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	0.976	0.024
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.020	0.980	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.018	0.981	0.001
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.018	0.982	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.017	0.983	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.015	0.985	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.986	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.014	0.986	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.013	0.986	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.011	0.988	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.008	0.991	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.008	0.992	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.993	0.006
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.994	0.006
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.006	0.994	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.005	0.995	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.005	0.995	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.004	0.996	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.004	0.996	0.001
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.004	0.996	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.004	0.996	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.003	0.997	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.003	0.997	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.997	0.002
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.002	0.998	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	0.998	0.002
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.998	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.998	0.001
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.001	0.998	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.001	0.999	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.001	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	0.999	0.001
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.999	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.001	0.999	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.001	0.999	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.001	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.001	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	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
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.001	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.001
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.001	0.999	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.999	0.001
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.001	0.999	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.001	0.999	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.001	0.999	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.001	0.999	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	0.999	0.001
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.001	0.999	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	0.999	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	0.999	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	0.999	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.999	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.001	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	0.999	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	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
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
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rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	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
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	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
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	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
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	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
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
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	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
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	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
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	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
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	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
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	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
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	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
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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 X0216

log Bayes Factor = 162.135

contains 6 variants

0.2151

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0880

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.9070

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7166

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7157

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7151

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7147

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7145

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7141

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7133

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7130

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7090

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7047

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7032

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7023

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7006

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6974

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6946

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6942

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6911

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6904

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6869

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6859

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6851

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6815

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6776

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6746

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6741

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6705

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6666

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6636

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.6620

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6541

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6534

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6509

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6474

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6366

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6359

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6204

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6148

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6139

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6138

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5987

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5964

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5953

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5918

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5863

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5809

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5740

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5723

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5644

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5632

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5524

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5476

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5429

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5312

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5256

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5204

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5015

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4947

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4879

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4848

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4840

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4794

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4689

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4643

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4582

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4521

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4456

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4267

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4235

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4186

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4167

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4165

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4162

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3953

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3907

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3834

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3819

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3808

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3777

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3170

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3102

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2999

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2909

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2874

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2781

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2764

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2716

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2668

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2643

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2454

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2442

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2381

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2378

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2352

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2351

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2224

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2180

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2110

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2104

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2095

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2052

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2034

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1901

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1662

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1576

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1563

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1543

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1540

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1485

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1458

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1403

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1395

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1343

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1306

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1288

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1180

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1129

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1115

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1057

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1031

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1023

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0925

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0896

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0866

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0797

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0769

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0729

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0700

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0573

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0565

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0562

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`)