TreeWAS – [R45.8] Other symptoms and signs involving emotional state

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
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.676	0.324	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.561	0.439	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.542	0.458	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.516	0.483	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.515	0.485	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.490	0.510	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.456	0.544	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.430	0.570	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.424	0.576	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.420	0.580	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.415	0.585	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.388	0.611	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.383	0.616	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.374	0.625	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.374	0.625	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.372	0.628	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.355	0.645	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.353	0.647	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.350	0.650	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.342	0.658	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.334	0.666	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.300	0.699	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.293	0.706	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.282	0.717	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.279	0.720	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.270	0.730	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.270	0.730	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.254	0.745	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.251	0.749	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.241	0.759	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.224	0.776	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.178	0.822	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.165	0.835	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.164	0.836	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.159	0.841	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.128	0.872	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.119	0.881	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.079	0.921	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.056	0.944	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.048	0.951	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.047	0.953	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.047	0.953	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.046	0.954	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.044	0.955	0.001
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.044	0.956	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.043	0.956	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.043	0.956	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.041	0.959	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.034	0.966	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.033	0.967	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.029	0.971	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.027	0.973	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.027	0.973	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.974	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.020	0.980	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.019	0.981	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.018	0.982	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.014	0.986	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.010	0.990	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.010	0.990	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.009	0.991	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.992	0.008
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.008	0.992	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.008	0.992	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.007	0.993	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.006	0.994	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.006	0.994	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.006	0.994	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.006	0.994	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.004	0.995	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.995	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.004	0.995	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.003	0.997	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.003	0.997	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.003	0.997	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.003	0.997	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.003	0.997	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.003	0.997	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	0.997	0.003
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.003	0.997	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.002	0.997	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	0.998	0.002
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	0.998	0.002
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.998	0.002
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.002	0.998	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.002	0.998	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.002	0.998	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.998	0.002
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	0.999	0.001
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	0.999	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	0.999	0.001
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	0.999	0.001
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	0.999	0.001
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.001	0.999	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.001	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	0.999	0.001
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.999	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.000	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.001
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.001	0.999	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.000	0.999	0.001
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	0.999	0.001
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.001	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.001	0.999	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	0.999	0.001
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	0.999	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.000	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.001	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.001
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.001
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.001	0.999	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.000	0.999	0.001
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	0.999	0.001
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	0.999	0.001
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.001	0.999	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.001	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.001	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.001	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.001	0.999	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.999	0.001
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.001	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.001	0.999	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.001	0.999	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	0.999	0.001
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.001	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.001	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.001
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.999	0.001
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.000
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	0.999	0.001
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.000	0.999	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
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rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	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
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	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
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
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
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	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
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	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
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	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
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	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
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	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

0.3709

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2763

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9998

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9990

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9984

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9956

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9903

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9873

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9795

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9790

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9772

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9736

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9698

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9665

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9615

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9607

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9567

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9564

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9449

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9424

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9396

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9345

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9333

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9323

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9304

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9303

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9280

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9263

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9254

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9243

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9234

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9215

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9179

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9176

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9085

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9039

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9026

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8960

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8911

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8906

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8905

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8861

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8805

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8714

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8660

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8613

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8516

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8484

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8378

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8368

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8327

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8155

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8153

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8140

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8102

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8056

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8007

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.7925

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7828

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7773

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7750

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7747

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7697

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7687

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7606

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7605

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7536

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7482

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7469

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7424

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7417

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7380

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7357

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7317

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7303

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7259

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7236

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7113

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7100

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7037

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6777

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6504

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6473

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6455

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6427

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6374

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6357

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6347

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6346

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6268

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6199

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6123

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5866

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5833

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5769

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5740

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5642

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5599

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5577

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5516

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5512

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5509

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5352

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5086

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4963

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4874

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4830

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4727

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.4595

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4558

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4310

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4189

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4147

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4110

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4074

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4018

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4007

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3936

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3850

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3740

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3733

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3561

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3466

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3459

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3447

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3151

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3065

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3046

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2829

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2802

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2797

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2762

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2760

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2719

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2691

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2620

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2588

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2491

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2295

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2244

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2217

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1553

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1499

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1485

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1485

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1370

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1308

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1302

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1204

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1198

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1164

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1033

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0953

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0802

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0755

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0664

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0572

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0517

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`)