TreeWAS – [C79.6] Secondary malignant neoplasm of ovary

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
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.959	0.041	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.792	0.208	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.777	0.223	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.730	0.270	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.717	0.283	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.714	0.286	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.693	0.307	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.682	0.318	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.668	0.331	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.633	0.367	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.630	0.370	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.620	0.380	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.601	0.399	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.597	0.403	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.583	0.417	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.543	0.456	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.541	0.459	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.538	0.462	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.489	0.511	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.467	0.533	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.463	0.537	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.457	0.543	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.456	0.544	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.419	0.581	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.413	0.587	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.387	0.612	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.350	0.650	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.335	0.665	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.322	0.678	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.301	0.699	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.297	0.702	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.269	0.731	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.260	0.739	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.253	0.747	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.234	0.766	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.771	0.229
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.214	0.785	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.192	0.808	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.824	0.176
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.152	0.848	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.142	0.858	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.139	0.860	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.127	0.872	0.001
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.127	0.873	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.111	0.889	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.096	0.904	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.904	0.095
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.081	0.919	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.073	0.927	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	0.931	0.069
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.060	0.940	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.945	0.055
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.052	0.947	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.050	0.950	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.050	0.950	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.046	0.952	0.002
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.042	0.958	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.042	0.958	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.962	0.038
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.038	0.962	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.036	0.963	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.974	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.023	0.976	0.001
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.977	0.023
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.018	0.979	0.003
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.020	0.979	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.983	0.016
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.016	0.984	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.015	0.984	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.015	0.985	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.014	0.986	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.014	0.986	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.003	0.986	0.011
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.012	0.987	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.012	0.987	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.012	0.988	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.011	0.989	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.989	0.010
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.008	0.992	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.007	0.993	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.007	0.993	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.006	0.993	0.001
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.007	0.993	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.005	0.994	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.006	0.994	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.005	0.995	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.005	0.995	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.005	0.995	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.004	0.996	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.004	0.996	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.004	0.996	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.004	0.996	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.003	0.997	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.997	0.003
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.997	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.002	0.997	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.998	0.001
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.002	0.998	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.002	0.998	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.998	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.002	0.998	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.002	0.998	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.001	0.998	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.998	0.002
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.002	0.998	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.002	0.998	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.999	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.000	0.999	0.001
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.001	0.999	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.001
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	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
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
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.001
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	0.999	0.001
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	0.999	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.999	0.001
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	0.999	0.001
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.001	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.999	0.001
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.001	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.001	0.999	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	0.999	0.001
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.999	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	0.999	0.001
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.999	0.001
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.001	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.999	0.001
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	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
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.999	0.001
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	0.999	0.001
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	0.999	0.001
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.001	0.999	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	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
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.001	0.999	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.001	0.999	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.001	0.999	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.001	0.999	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	0.999	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	0.999	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs4821261 lBF = `-0.00859297` Chr`22` : `34,941,576`	0.000	1.000	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
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rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	1.000	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	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
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	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
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	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
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	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
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	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
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	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
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

0.9753

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7166

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.5352

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9989

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9947

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9927

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9851

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9809

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9801

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9773

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9741

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9737

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9728

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9687

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9643

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9640

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9579

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9561

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9559

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9483

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9462

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9424

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9357

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9336

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9297

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9228

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9123

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9108

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8961

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8957

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8930

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8905

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8725

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8680

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8571

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8569

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8555

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8554

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8553

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8458

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8413

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8388

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8378

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8295

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8284

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8169

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8060

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7952

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7934

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7827

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7819

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7740

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7728

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7708

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7684

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7579

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7563

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7523

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7511

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7430

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7392

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7390

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7202

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7156

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7129

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6929

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6896

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6855

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6814

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6773

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6757

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.6652

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6636

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6618

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6530

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6529

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6525

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6503

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6355

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6334

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6329

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6203

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.6157

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5833

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.5813

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5747

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5742

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5606

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5017

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4980

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4948

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4759

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4530

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4513

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4456

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3967

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3921

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3875

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3523

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3517

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3157

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2978

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2915

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2692

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2612

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2578

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2555

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2542

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2510

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2366

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2088

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1683

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1652

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1570

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1509

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1344

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1301

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1207

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1082

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1041

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1027

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0836

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0816

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0804

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0726

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0679

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0660

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0593

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0560

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`)