TreeWAS – [I22.1] Subsequent myocardial infarction of inferior wall

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
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.862	0.138	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.689	0.311	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.675	0.325	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.659	0.340	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.617	0.383	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.607	0.393	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.603	0.397	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.585	0.415	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.582	0.418	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.578	0.422	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.569	0.430	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.562	0.438	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.543	0.457	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.000	0.463	0.537
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.527	0.473	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.511	0.489	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.487	0.512	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.474	0.526	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.468	0.532	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.460	0.540	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.452	0.548	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.423	0.577	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.410	0.590	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.360	0.639	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.342	0.658	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.277	0.723	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.729	0.271
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.231	0.769	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.228	0.772	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.189	0.811	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.185	0.815	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.175	0.825	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.174	0.826	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.168	0.832	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.166	0.834	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.149	0.851	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.146	0.854	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.145	0.855	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.144	0.856	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.139	0.861	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.138	0.862	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.116	0.884	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.113	0.887	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.112	0.888	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.104	0.896	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.102	0.898	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.094	0.906	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.090	0.910	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.083	0.917	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.078	0.922	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.062	0.938	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.059	0.941	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.059	0.941	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.057	0.942	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.050	0.949	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.049	0.951	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.044	0.956	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.036	0.964	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.035	0.965	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.033	0.967	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.033	0.967	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.031	0.969	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.028	0.970	0.002
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.028	0.972	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.028	0.972	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.025	0.974	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.024	0.976	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.023	0.977	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.021	0.979	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.020	0.979	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.019	0.980	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.018	0.981	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.018	0.982	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.985	0.015
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.014	0.986	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.013	0.987	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.011	0.988	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.011	0.989	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.011	0.989	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.010	0.990	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.010	0.990	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.991	0.008
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	0.992	0.008
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.007	0.992	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	0.993	0.007
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.006	0.994	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	0.995	0.005
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.005	0.995	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.005	0.995	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.004	0.996	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.004	0.996	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.002	0.997	0.001
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.997	0.003
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.003	0.997	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	0.997	0.003
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.002	0.998	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.998	0.002
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.002	0.998	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.998	0.002
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.001	0.998	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.002	0.998	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	0.998	0.002
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.002	0.998	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.002	0.998	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.002	0.998	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.001	0.998	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.002	0.998	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.998	0.002
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	0.998	0.002
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.001	0.998	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.002	0.998	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.002	0.998	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.002	0.998	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.001	0.998	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.001	0.999	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.001	0.999	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.001	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.001	0.999	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.001	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.001	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.999	0.001
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.001	0.999	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	0.999	0.001
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.999	0.001
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	0.999	0.001
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.001	0.999	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
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
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
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.001
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	0.999	0.001
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.001	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.001
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.001
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	0.999	0.001
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.999	0.001
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.001
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.001	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	0.999	0.001
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.001	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.001
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	0.999	0.001
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.001	0.999	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	0.999	0.001
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.001
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	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
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.999	0.001
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.001	0.999	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	0.999	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.999	0.001
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	0.999	0.001
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	0.999	0.001
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	0.999	0.001
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	0.999	0.001
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.999	0.001
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	0.999	0.001
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.001	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	0.999	0.001
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	0.999	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.001	0.999	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	0.999	0.001
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	0.999	0.001
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rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	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
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
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
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
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
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	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
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	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
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	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
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
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	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 X0002

log Bayes Factor = 522.044

contains 22 variants

0.9997

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

0.9984

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5941

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4233

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2597

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.0694

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.0515

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9982

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9978

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9957

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9954

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9911

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9864

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9858

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.9838

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9777

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9747

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9743

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9668

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9656

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9588

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9587

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9580

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9579

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9564

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9504

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9358

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9226

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9194

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9172

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9150

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9143

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8950

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8926

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8915

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8878

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8831

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8829

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8767

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

0.8766

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8739

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8715

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8510

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8359

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8316

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8213

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8107

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7933

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7894

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7892

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7877

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7869

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7750

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7681

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7671

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7648

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7640

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7489

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7461

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7399

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7314

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7292

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7137

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7134

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6999

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6797

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6451

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6451

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6407

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.6333

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6228

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6184

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5852

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5794

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5792

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5775

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5729

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5608

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5498

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5462

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5438

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5205

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.4821

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4504

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4503

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4177

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4132

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3958

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3939

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3745

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3730

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3626

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3519

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3461

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3430

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3390

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3377

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3330

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3267

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3097

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2629

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2519

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2387

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2150

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2148

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2030

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1926

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1875

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1855

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1753

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1595

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1462

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1430

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1415

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1362

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1317

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1124

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1107

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1097

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1070

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1019

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0999

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0958

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0897

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0897

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0880

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0879

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0878

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.0867

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0809

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0776

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0688

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0655

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0590

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0536

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0531

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0519

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0517

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)