TreeWAS – [F17.9] Unspecified mental and behavioural disorder

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
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.622	0.378	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.597	0.403	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.572	0.428	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.561	0.439	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.536	0.464	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.489	0.511	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.446	0.554	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.441	0.559	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.418	0.582	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.409	0.591	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.408	0.592	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.391	0.609	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.390	0.610	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.388	0.612	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.383	0.617	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.380	0.620	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.380	0.620	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.377	0.622	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.372	0.628	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.371	0.629	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.362	0.638	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.352	0.648	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.339	0.661	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.338	0.661	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.327	0.673	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.324	0.676	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.319	0.681	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.297	0.703	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.290	0.710	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.283	0.717	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.281	0.719	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.273	0.726	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.268	0.732	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.267	0.732	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.259	0.741	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.244	0.756	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.227	0.773	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.212	0.788	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.209	0.790	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.209	0.791	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.193	0.807	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.192	0.808	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.192	0.808	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.192	0.808	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.185	0.815	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.174	0.825	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.166	0.834	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.164	0.836	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.159	0.841	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.158	0.842	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.158	0.842	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.155	0.845	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.147	0.853	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.146	0.854	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.130	0.869	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.122	0.878	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.119	0.881	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.116	0.883	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.113	0.887	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.103	0.894	0.003
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.096	0.904	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.092	0.908	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.091	0.909	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.090	0.910	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.089	0.911	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.089	0.911	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.088	0.912	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.087	0.913	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.080	0.914	0.006
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.080	0.920	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.080	0.920	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.075	0.925	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.072	0.928	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.067	0.933	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.060	0.940	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.058	0.942	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.056	0.944	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.055	0.945	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.050	0.950	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.049	0.950	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.047	0.953	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.040	0.957	0.002
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.041	0.959	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.033	0.967	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.033	0.967	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.029	0.971	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	0.972	0.028
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.025	0.974	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.023	0.976	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.009	0.991	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.007	0.992	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.007	0.993	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.007	0.993	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.007	0.993	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.006	0.993	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.005	0.994	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.995	0.005
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.997	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.002	0.998	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.998	0.002
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.002	0.998	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.002	0.998	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.001	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.998	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.001	0.998	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.999	0.001
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.001
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.999	0.001
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
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
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.001	0.999	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.001	0.999	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.001
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	0.999	0.001
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.001	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.001	0.999	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.001	0.999	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.001	0.999	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	0.999	0.001
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	0.999	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.999	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.999	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	0.999	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	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
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	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
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
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rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	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
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	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
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
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
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
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	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
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	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
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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

0.6066

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4279

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.1603

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.1280

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.7451

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7169

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7168

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7166

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7164

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7162

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7161

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7156

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7147

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7145

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7135

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.7004

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6991

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6948

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6743

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.6680

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6512

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6457

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6450

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.6428

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6321

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6182

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5815

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5778

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5437

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5408

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5402

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5379

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5085

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5061

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4925

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.4798

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4738

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4636

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4268

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4190

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3829

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3672

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3536

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3477

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.3283

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3224

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3214

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3171

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3170

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3083

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2866

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2861

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2700

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2635

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2521

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2521

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2514

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2439

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2343

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2272

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2251

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2197

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2181

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2131

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.2109

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2086

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1928

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1806

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1788

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1786

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1785

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1756

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1748

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1746

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1685

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1670

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1624

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1601

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1593

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1572

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1545

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1544

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1528

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1519

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1485

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1456

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1431

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1428

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1403

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1400

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1396

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1388

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1366

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1352

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1347

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1330

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1318

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.1311

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1283

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1276

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1273

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1272

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1267

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1263

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1257

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1254

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1242

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1235

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1234

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1227

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1224

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1221

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1218

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1216

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1211

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1211

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1211

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1209

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1206

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1188

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1188

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1187

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1174

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.1172

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1166

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1164

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1123

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1105

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1084

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1084

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1084

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1074

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1067

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1065

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1046

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1046

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1045

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1041

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1037

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1037

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1028

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1023

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1019

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1002

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0987

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0983

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0958

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0943

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0930

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0906

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0905

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0891

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0856

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0849

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0849

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0838

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0832

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0814

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0797

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0780

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0778

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0772

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0768

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0748

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0738

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0735

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0734

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0728

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0713

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0712

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0711

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0702

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0699

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0694

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0686

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0667

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0634

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0628

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0625

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0610

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0600

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0600

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0596

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0581

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0573

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0570

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0557

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0529

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0520

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0519

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0516

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0507

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`)