TreeWAS – [I35.2] Aortic (valve) stenosis with insufficiency

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
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.791	0.209	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.762	0.238	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.682	0.318	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.680	0.320	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.665	0.335	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.640	0.359	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.635	0.365	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.628	0.372	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.606	0.394	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.598	0.402	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.588	0.412	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.586	0.414	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.553	0.446	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.544	0.456	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.524	0.476	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.485	0.515	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.442	0.558	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.427	0.573	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.395	0.605	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.384	0.616	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.381	0.619	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.362	0.638	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.341	0.659	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.338	0.662	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.321	0.679	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.294	0.706	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.288	0.712	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.281	0.719	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.263	0.736	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.246	0.754	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.199	0.800	0.001
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.184	0.816	0.001
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.171	0.828	0.001
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.162	0.838	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.142	0.857	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.113	0.887	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.104	0.896	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.099	0.901	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.085	0.915	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.081	0.919	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.075	0.925	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.066	0.934	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.059	0.941	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.053	0.946	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.044	0.956	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.041	0.958	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.038	0.962	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.026	0.974	0.001
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.025	0.975	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.023	0.977	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.023	0.977	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.022	0.977	0.001
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.021	0.979	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.981	0.019
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.019	0.981	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.018	0.982	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.017	0.983	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.015	0.985	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.015	0.985	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.013	0.987	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.013	0.987	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.012	0.988	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.012	0.988	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.011	0.989	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.010	0.990	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.010	0.990	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.001	0.990	0.009
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.009	0.990	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.991	0.009
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.009	0.991	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.007	0.993	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.007	0.993	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.006	0.994	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	0.994	0.006
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.006	0.994	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.005	0.994	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.995	0.005
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.004	0.996	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.997	0.003
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.003	0.997	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.003	0.997	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.002	0.998	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.002	0.998	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.002	0.998	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	0.998	0.002
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.002	0.998	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	0.998	0.002
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.002	0.998	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.001	0.998	0.001
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.002	0.998	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.001	0.998	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.001	0.998	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.002	0.998	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.001
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.001	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.999	0.001
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.001
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	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
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.001	0.999	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	0.999	0.001
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	0.999	0.001
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.001
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	0.999	0.001
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.001	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.001
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.001	0.999	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	0.999	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	0.999	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	0.999	0.001
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.999	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.001	0.999	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	0.999	0.001
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.999	0.001
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.001	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	0.999	0.001
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.999	0.001
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.001	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	0.999	0.001
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.999	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.001
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	0.999	0.001
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.999	0.001
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	0.999	0.001
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.001	0.999	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.000	0.999	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.999	0.001
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	0.999	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	1.000	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	1.000	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	1.000	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	1.000	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	1.000	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	1.000	0.000
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rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	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
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	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
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	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
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	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
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	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
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	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 X0096

log Bayes Factor = 8.06962

contains 1 variants

0.9502

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.5633

Cluster X0090

log Bayes Factor = 11.7172

contains 2 variants

0.4289

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1093

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0797

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9979

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9960

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9947

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9942

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9933

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9902

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9857

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9812

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9812

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9803

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9763

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9761

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9743

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9637

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9630

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9618

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9598

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9375

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9307

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9166

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9165

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9151

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9128

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9124

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8911

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8826

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8822

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8753

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8556

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8493

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8456

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8373

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8368

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8175

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8148

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8138

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8060

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7919

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7788

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7758

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7527

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7519

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7354

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7347

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7295

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7158

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6715

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6645

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6632

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6283

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6232

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6220

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6214

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6137

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6081

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6019

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5981

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5943

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5834

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5830

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5821

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5767

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5757

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5638

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5476

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5427

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5257

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5131

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5025

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4928

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4902

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4878

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4868

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4758

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4664

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4354

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4352

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4156

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4111

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4091

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4059

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3992

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3856

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3669

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3668

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3463

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3280

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3279

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3232

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3227

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3178

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3020

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2914

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2812

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2780

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2700

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2687

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2674

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2538

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2496

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2279

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.2229

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2189

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2173

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1964

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1836

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1744

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1706

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.1585

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1538

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1526

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1485

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1483

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1433

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1368

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1351

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1170

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1168

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1154

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0943

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0755

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0692

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0683

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0640

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0632

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0569

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0555

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0554

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`)