TreeWAS – [I44.5] Left posterior fascicular block

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
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.685	0.314	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.684	0.316	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.671	0.329	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.650	0.350	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.647	0.352	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.625	0.375	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.613	0.386	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.590	0.410	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.547	0.452	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.541	0.459	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.537	0.463	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.525	0.475	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.519	0.481	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.496	0.504	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.432	0.568	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.401	0.599	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.399	0.601	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.386	0.614	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.371	0.629	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.354	0.646	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.350	0.650	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.349	0.650	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.334	0.666	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.324	0.675	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.317	0.682	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.309	0.691	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.304	0.695	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.275	0.725	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.256	0.744	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.228	0.772	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.223	0.777	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.223	0.777	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.192	0.807	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.164	0.836	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.138	0.862	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.127	0.872	0.001
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.124	0.876	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.117	0.883	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.101	0.898	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.083	0.917	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.070	0.929	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.054	0.946	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.052	0.948	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.048	0.952	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.047	0.952	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.047	0.953	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.046	0.954	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.042	0.958	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.039	0.961	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.038	0.962	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.038	0.962	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.038	0.962	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.029	0.970	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.028	0.972	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.027	0.973	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.025	0.975	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.977	0.023
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.022	0.977	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.022	0.977	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.022	0.978	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.000	0.982	0.018
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.017	0.983	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.016	0.984	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.014	0.986	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.009	0.991	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.991	0.009
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.008	0.992	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.007	0.993	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.006	0.994	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.006	0.994	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.004	0.995	0.001
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.004	0.996	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.004	0.996	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.004	0.996	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.003	0.997	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.003	0.997	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.997	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	0.997	0.003
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.002	0.998	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.002	0.998	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.002	0.998	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.998	0.002
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.001	0.998	0.001
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.998	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.001
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.001	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.001	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.001	0.999	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	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
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
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.001
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	0.999	0.001
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.999	0.001
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.999	0.000
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	0.999	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	0.999	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	0.999	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs111383589 lBF = `-0.0262582` Chr`22` : `31,438,361`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
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rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5754227 lBF = `-0.00417423` Chr`22` : `33,105,817`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	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
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	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
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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
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
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	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

0.5435

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3952

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7168

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7166

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7166

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7166

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7162

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7159

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7155

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7150

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7143

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7142

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7140

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7130

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7129

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7128

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7120

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7119

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7118

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.7107

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7095

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7083

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7063

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7061

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7061

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7052

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7042

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7031

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7016

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6992

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6986

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6967

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6880

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6860

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6820

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6819

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6813

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6756

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6722

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6708

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6538

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6441

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6425

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6401

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6382

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6245

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6198

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6177

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6062

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6027

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6000

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5975

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5868

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5857

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5851

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5803

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5677

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5383

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5244

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5231

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5150

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5128

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5012

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4974

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4956

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4931

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4652

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4327

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3922

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3729

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3696

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3686

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3681

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3658

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3397

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3392

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3384

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3368

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3259

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3009

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2987

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2969

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2960

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2934

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2895

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2767

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2741

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2684

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2668

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2660

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2605

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2597

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2596

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2533

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2278

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.2253

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2196

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2094

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1989

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1986

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1932

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1858

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1857

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1755

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1737

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1729

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1631

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1565

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1507

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1459

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1348

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1334

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1311

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1309

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1082

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1078

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1006

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1003

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0968

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0947

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0876

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0846

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0840

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0753

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0717

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0696

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0650

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0629

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0625

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0568

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0546

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0502

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`)