TreeWAS – [K11.8] Other diseases of salivary glands

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
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.782	0.218	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.643	0.357	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.619	0.381	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.604	0.396	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.587	0.413	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.581	0.419	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.546	0.454	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.543	0.457	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.509	0.490	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.498	0.501	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.483	0.517	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.461	0.539	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.445	0.555	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.444	0.556	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.444	0.556	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.442	0.558	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.426	0.573	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.410	0.590	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.367	0.633	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.366	0.634	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.365	0.635	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.364	0.636	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.337	0.663	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.290	0.710	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.287	0.713	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.274	0.726	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.270	0.730	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.257	0.742	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.248	0.752	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.235	0.765	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.218	0.782	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.124	0.876	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.110	0.890	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.101	0.898	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.099	0.901	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.093	0.907	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.085	0.915	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.083	0.916	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.071	0.929	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.070	0.930	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.065	0.935	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.061	0.938	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.051	0.949	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.043	0.957	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.032	0.968	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.032	0.968	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.031	0.969	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.030	0.970	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.027	0.973	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.016	0.978	0.006
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.022	0.978	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.017	0.982	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.013	0.987	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.988	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.012	0.988	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.012	0.988	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.011	0.989	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.011	0.989	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	0.991	0.009
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.009	0.991	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.007	0.992	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.006	0.994	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.006	0.994	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.006	0.994	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.006	0.994	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.004	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.004	0.996	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.004	0.996	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.004	0.996	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.000	0.996	0.003
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.003	0.996	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	0.997	0.003
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	0.997	0.003
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.003	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.003	0.997	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.997	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.003	0.997	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.997	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.002	0.998	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.002	0.998	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.002	0.998	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.002	0.998	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.002	0.998	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.002	0.998	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.998	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.002	0.998	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.002	0.998	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.998	0.002
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.002	0.998	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.000	0.998	0.002
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.002	0.998	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.998	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.001	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.001	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.001	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	0.999	0.001
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.001	0.999	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	0.999	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.001	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.001	0.999	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.001	0.999	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.001	0.999	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.999	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	0.999	0.001
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.001	0.999	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.001	0.999	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	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
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.001	0.999	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.001	0.999	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.001	0.999	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.001	0.999	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	0.999	0.001
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.001	0.999	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.001	0.999	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.000	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.001	0.999	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	0.999	0.001
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	0.999	0.001
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.001	0.999	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.001	0.999	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	0.999	0.001
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.001
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.001
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.999	0.001
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.001	0.999	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.001	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.001	0.999	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.001
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	0.999	0.001
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.999	0.001
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	0.999	0.001
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	0.999	0.001
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	0.999	0.001
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	0.999	0.001
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	0.999	0.001
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.001	0.999	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.999	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	0.999	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	1.000	0.000
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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
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	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
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	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
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	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
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000

This table lists the top 491 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9987

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9926

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9890

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9761

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9647

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9642

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9517

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9433

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9424

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9357

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9348

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9347

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9332

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9252

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9235

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9205

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9138

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9058

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8900

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8860

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8759

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8723

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8607

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8576

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8571

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8537

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8498

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8493

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8471

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8460

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8348

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8345

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8332

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8265

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8257

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8235

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8117

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7984

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7984

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7961

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7960

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7939

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7936

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7914

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7913

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7910

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7869

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7861

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7767

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7765

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7702

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7586

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7586

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7578

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7507

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7493

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7470

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7432

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7379

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7343

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7340

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7283

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7214

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7174

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7132

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7076

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7074

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7054

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6958

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6954

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6945

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6904

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6822

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6819

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6780

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6738

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6717

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6716

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6714

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6681

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6672

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6609

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6594

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6592

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6536

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6462

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6418

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6415

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6378

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6373

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6327

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6294

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6264

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6107

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6090

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5841

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5799

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5792

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5761

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5677

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5635

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5631

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5603

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5597

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5572

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5549

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5521

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5476

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5253

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4837

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4707

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4696

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4624

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4614

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4547

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4481

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4421

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4147

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4066

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4042

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3951

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3747

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3525

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3514

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3368

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3185

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3055

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3033

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2717

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2622

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2451

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1974

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1639

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1440

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1178

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1021

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0831

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0786

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0756

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0694

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0690

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0602

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`)