TreeWAS – [K76.2] Central haemorrhagic necrosis of liver

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
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.717	0.283	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.717	0.283	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.717	0.283	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.717	0.283	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.717	0.283	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.717	0.283	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.717	0.283	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.717	0.283	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.717	0.283	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.717	0.283	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.717	0.283	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.717	0.283	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.717	0.283	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	0.296	0.704
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.684	0.315	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.684	0.316	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.680	0.320	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.676	0.324	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.649	0.351	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.579	0.420	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.526	0.474	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.518	0.481	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.476	0.524	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.459	0.541	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.455	0.545	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.449	0.551	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.438	0.562	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.425	0.575	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.576	0.424
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.415	0.585	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.390	0.610	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.383	0.617	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.368	0.632	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.349	0.650	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.340	0.660	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.339	0.661	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	0.677	0.323
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.319	0.681	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.273	0.727	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.229	0.771	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.211	0.789	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.210	0.790	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.209	0.790	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.191	0.808	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.190	0.810	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.189	0.811	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.180	0.820	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.179	0.820	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.138	0.861	0.001
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.134	0.866	0.001
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.129	0.871	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.121	0.879	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.114	0.886	0.001
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.094	0.906	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.082	0.918	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.076	0.924	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.071	0.928	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.069	0.931	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.064	0.936	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.063	0.937	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.061	0.939	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.057	0.943	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.056	0.944	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.050	0.950	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.039	0.960	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.039	0.961	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.032	0.968	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.026	0.973	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.025	0.975	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.024	0.976	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.022	0.978	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.022	0.978	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.018	0.982	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.017	0.983	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.987	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.012	0.988	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.988	0.012
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.011	0.989	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.992	0.008
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	0.992	0.008
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.007	0.992	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.006	0.994	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.006	0.994	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.996	0.001
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.004	0.996	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.004	0.996	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.003	0.996	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.997	0.003
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.997	0.003
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.997	0.003
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.002	0.997	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.997	0.002
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.002	0.998	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.002	0.998	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.002	0.998	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	0.998	0.002
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	0.998	0.002
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.998	0.001
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.002	0.998	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.998	0.001
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.998	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.998	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.001	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.999	0.001
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.001	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.001
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.001	0.999	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.001	0.999	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.001	0.999	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.001	0.999	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.999	0.001
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	0.999	0.001
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.001	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.001	0.999	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.001	0.999	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.001	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.001
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.001	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.001	0.999	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.000	0.999	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.999	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	0.999	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	0.999	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	0.999	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	0.999	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.999	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	0.999	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	1.000	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	1.000	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.000	1.000	0.000
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	1.000	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
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rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	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
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
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	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
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
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
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	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
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	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
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	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
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	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
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	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
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
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.2323

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.7169

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7169

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7168

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7167

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7167

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7167

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7166

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7165

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7162

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7159

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7153

Cluster X0334

log Bayes Factor = 15.5721

contains 2 variants

0.7136

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7132

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7129

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7118

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7116

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7106

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7106

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7103

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7091

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7061

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7050

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7049

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7035

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7035

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7021

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6987

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6967

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6957

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6956

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6951

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6886

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6877

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6824

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6744

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6737

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6732

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6719

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6430

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6387

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6387

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6386

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6221

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6211

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6210

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6163

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5972

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5961

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5958

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5955

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5949

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5905

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5872

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5791

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5708

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5707

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5704

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5696

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5687

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5593

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5426

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5165

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5003

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4980

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4930

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4858

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4847

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4793

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4743

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4522

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4259

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4116

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4097

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3955

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3928

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3660

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3644

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3586

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3561

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3410

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3027

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3006

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2950

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2897

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2867

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2655

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2601

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2478

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2381

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2379

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2318

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2299

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2279

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2240

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2066

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2002

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1907

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1898

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1834

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1786

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1774

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1478

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1456

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1375

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1368

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1298

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1270

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1208

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1184

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1077

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1046

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1035

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0948

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0838

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0770

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0648

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0631

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0622

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0580

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0505

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0500

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`)