TreeWAS – [F32.0] Mild depressive episode

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
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.776	0.224	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.706	0.294	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.696	0.304	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.695	0.305	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.682	0.318	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.642	0.358	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.631	0.369	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.621	0.379	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.619	0.381	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.595	0.405	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.576	0.424	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.564	0.436	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.554	0.446	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.550	0.449	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.543	0.456	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.538	0.462	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.533	0.467	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.523	0.477	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.520	0.480	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.517	0.483	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.485	0.515	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.484	0.516	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.476	0.524	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.476	0.524	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.466	0.534	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.404	0.596	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.379	0.621	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.377	0.623	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.376	0.624	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.371	0.629	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.346	0.654	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.337	0.663	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.331	0.669	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.318	0.682	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.316	0.684	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.295	0.705	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.287	0.713	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.284	0.716	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.277	0.723	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.271	0.729	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.269	0.731	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.269	0.731	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.263	0.737	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.258	0.742	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.252	0.748	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	0.756	0.244
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.237	0.762	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.236	0.764	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.231	0.769	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.229	0.771	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.220	0.780	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.219	0.781	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.210	0.790	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.202	0.797	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.199	0.800	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.198	0.802	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.196	0.804	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.195	0.805	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.191	0.809	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.179	0.821	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.174	0.826	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.166	0.834	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.146	0.854	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.137	0.863	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.133	0.867	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.132	0.868	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.124	0.876	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.121	0.879	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.106	0.893	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.105	0.894	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.095	0.904	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.094	0.906	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.090	0.910	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.086	0.913	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.084	0.915	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.077	0.922	0.001
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.074	0.926	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.062	0.938	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.055	0.944	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.052	0.948	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.051	0.948	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.048	0.951	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.048	0.952	0.001
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.040	0.959	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.027	0.973	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.025	0.975	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.024	0.975	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.024	0.975	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.012	0.987	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	0.990	0.010
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.008	0.992	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.007	0.993	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.996	0.004
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.004	0.996	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.004	0.996	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.997	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.003	0.997	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.997	0.003
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	0.997	0.003
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.003	0.997	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.997	0.003
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.003	0.997	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.002	0.997	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	0.999	0.001
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	0.999	0.001
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	0.999	0.001
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	0.999	0.001
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.999	0.001
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.001	0.999	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.001	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.999	0.001
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.000	0.999	0.001
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.999	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	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
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
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.001	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.001	0.999	0.000
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.001	0.999	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.001
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	0.999	0.001
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.001	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.001
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.001	0.999	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.001	0.999	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.001	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.001	0.999	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	0.999	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	0.999	0.001
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.001	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.001	0.999	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.001	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	0.999	0.001
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.001	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.001
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	0.999	0.001
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	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
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
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rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	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
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	1.000	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	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
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	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
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	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
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	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

0.6701

Cluster X0260

log Bayes Factor = 16.5601

contains 2 variants

0.5045

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0616

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9983

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9883

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9820

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9791

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9755

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9716

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9692

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9679

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9668

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9551

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9543

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9478

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9460

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9453

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9437

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9390

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9354

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9273

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9223

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9154

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9130

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9057

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9028

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9024

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8939

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8934

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8903

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8826

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8774

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8762

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8714

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8670

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8656

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8655

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8644

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8626

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8595

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8522

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.8503

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8491

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8464

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8435

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8409

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8388

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8381

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8348

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8339

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8322

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8308

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8175

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8167

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8156

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8151

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8147

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8133

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8102

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8059

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8053

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7986

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7983

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7973

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7961

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7818

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7807

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7718

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7714

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7645

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7639

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7624

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7608

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7549

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7469

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7411

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7408

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7290

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7104

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6962

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6952

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6800

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6672

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6604

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6603

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6573

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6387

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6337

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6325

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6282

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6216

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6032

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6017

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5993

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.5988

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5821

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5709

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5626

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5622

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5457

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5439

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5257

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5253

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5192

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5119

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5015

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4827

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4801

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4609

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4490

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4281

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4124

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4114

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3899

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3860

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3814

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3782

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3774

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3682

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3669

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3509

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3439

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3337

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3276

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3176

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3160

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3122

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3080

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3059

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2986

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2921

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2881

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2819

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2737

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2673

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2604

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2581

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2546

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2456

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2431

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2349

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2286

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2281

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2236

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2233

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2159

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2074

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2011

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1923

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1883

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1883

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1826

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1741

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1695

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1665

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1611

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1447

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1429

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1388

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1305

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1263

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1236

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1226

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1215

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1204

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1174

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1174

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1174

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1150

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1109

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1083

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0995

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0957

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0923

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0806

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0806

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0779

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0768

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.0763

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0750

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0670

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0661

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0630

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0617

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0597

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0571

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`)