TreeWAS – [I60.2] Subarachnoid haemorrhage from anterior communicating artery

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
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.638	0.361	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.630	0.370	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.603	0.397	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.586	0.414	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.573	0.427	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.556	0.444	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.552	0.448	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.551	0.449	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.546	0.454	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.515	0.485	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.504	0.496	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.484	0.516	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.473	0.527	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.471	0.529	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.464	0.535	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.455	0.545	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.437	0.562	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.428	0.572	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.426	0.573	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.413	0.587	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.400	0.599	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.396	0.604	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.387	0.613	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.382	0.617	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.378	0.622	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.373	0.627	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.369	0.631	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.362	0.638	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.340	0.660	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.339	0.661	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.321	0.679	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.309	0.691	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.297	0.703	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.272	0.727	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.254	0.745	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.239	0.761	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.205	0.795	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.194	0.805	0.001
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.180	0.820	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.177	0.823	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.163	0.836	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.161	0.838	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.154	0.846	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.152	0.847	0.001
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.139	0.860	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.131	0.869	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.125	0.875	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.115	0.884	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.115	0.885	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.113	0.887	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.112	0.887	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.109	0.891	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.107	0.893	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.101	0.898	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.099	0.901	0.001
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.097	0.903	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	0.907	0.093
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.087	0.912	0.001
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.086	0.913	0.001
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.081	0.918	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.080	0.920	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.076	0.924	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.075	0.924	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.066	0.934	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.061	0.939	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.059	0.941	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.051	0.948	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.051	0.949	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.050	0.950	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.047	0.953	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.045	0.955	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.043	0.957	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.037	0.963	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.964	0.036
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.036	0.964	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.032	0.968	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.031	0.969	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.973	0.027
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.021	0.978	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.020	0.980	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.018	0.982	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.018	0.982	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.017	0.983	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.017	0.983	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.014	0.985	0.001
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.015	0.985	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.014	0.986	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.986	0.014
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.012	0.988	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	0.990	0.010
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.009	0.990	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.992	0.008
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.993	0.007
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.007	0.993	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	0.994	0.006
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.006	0.994	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.005	0.995	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.004	0.996	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.004	0.996	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.004	0.996	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.004	0.996	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	0.996	0.003
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.003	0.997	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.997	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.997	0.003
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.003	0.997	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.003	0.997	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.002	0.997	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.998	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.002	0.998	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.002	0.998	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.002	0.998	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.002	0.998	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.002	0.998	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.002	0.998	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	0.998	0.002
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.002	0.998	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.002	0.998	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	0.998	0.002
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.002	0.998	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.002	0.998	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.002	0.998	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.002	0.998	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.002	0.998	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.998	0.002
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.002	0.998	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.002	0.998	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.002	0.998	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.002	0.998	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.001	0.998	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.001	0.998	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.001	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.001	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.001	0.999	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.001	0.999	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.001	0.999	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	0.999	0.001
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.001
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.999	0.001
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.001	0.999	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.001	0.999	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	0.999	0.001
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.999	0.001
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	0.999	0.001
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.001	0.999	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.001	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.001	0.999	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.001	0.999	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.001	0.999	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	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
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.001	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	0.999	0.001
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.001	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.001
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.001	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.001	0.999	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	0.999	0.001
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	0.999	0.001
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.001	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.001	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.001	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.001	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.999	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.001	0.999	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.001
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.001	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.001	0.999	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.001	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
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rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	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
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	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
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	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
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	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 X0292

log Bayes Factor = 11.0442

contains 1 variants

0.5717

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1194

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0788

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.0649

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9996

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9980

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9898

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9867

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9743

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9733

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9701

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9678

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9668

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9664

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9602

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9548

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9535

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9490

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9485

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9466

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9438

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9429

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9410

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9393

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9383

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9312

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9305

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9301

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9266

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9264

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9258

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9252

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9189

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9166

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9156

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9123

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9104

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9095

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9073

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9037

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9015

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8983

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8949

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8911

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8761

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8713

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8657

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8610

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8573

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8572

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8474

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8455

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8421

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8410

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8409

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8335

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8262

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8210

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8184

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8151

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8109

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8069

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8014

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7923

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7904

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7866

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7854

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7813

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7782

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7772

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7536

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7467

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7450

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7395

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7383

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7346

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7340

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7275

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7225

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7221

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7209

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7098

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6983

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6928

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6808

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6726

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6715

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6702

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6699

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6662

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6598

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6580

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6498

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6481

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6469

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6388

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6338

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6318

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6300

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6170

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6168

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6163

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6103

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6088

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6002

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5909

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5833

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5766

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5742

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5713

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5521

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5506

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5377

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5343

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.5335

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5334

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5287

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5248

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5133

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5123

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5064

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4949

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4948

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4889

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4760

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4710

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4664

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4618

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4589

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4574

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4531

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4506

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4493

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4432

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4420

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4389

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4267

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4220

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4202

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4179

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4132

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4081

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4055

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3990

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3973

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3794

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3662

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3581

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3548

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3479

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3307

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3251

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3209

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3195

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3192

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3014

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2930

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2906

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2856

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2616

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2585

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2510

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2493

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2352

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2235

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2208

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2200

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1885

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1868

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1689

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1669

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1649

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1587

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1416

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1262

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1173

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1074

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0997

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0809

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0603

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0593

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0550

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0531

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0526

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`)