TreeWAS – [C43] Malignant melanoma of skin

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
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.918	0.082	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.894	0.106	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.884	0.116	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.850	0.150	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.678	0.322	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.626	0.374	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.546	0.454	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.518	0.482	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.480	0.520	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.471	0.529	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.467	0.533	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.455	0.545	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.442	0.558	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.413	0.587	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.405	0.595	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.401	0.599	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.391	0.609	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.367	0.633	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.342	0.658	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.337	0.663	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.330	0.670	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.327	0.673	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.307	0.693	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.292	0.708	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.277	0.722	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.268	0.732	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.261	0.739	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.257	0.743	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.255	0.745	0.001
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.255	0.745	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.251	0.749	0.001
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.251	0.749	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.239	0.761	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.238	0.762	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.236	0.764	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.222	0.778	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.200	0.799	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.200	0.800	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.183	0.816	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.177	0.823	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.177	0.823	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.174	0.825	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.168	0.832	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.149	0.851	0.001
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.148	0.851	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.148	0.852	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.134	0.866	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.126	0.873	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.116	0.883	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.116	0.884	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.112	0.888	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.103	0.897	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.094	0.906	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.091	0.909	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.090	0.910	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.074	0.926	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.074	0.926	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.073	0.927	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.063	0.936	0.001
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.063	0.937	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.060	0.940	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.056	0.944	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.054	0.945	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.055	0.945	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.045	0.954	0.001
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.039	0.961	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.962	0.038
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.036	0.964	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.035	0.965	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.029	0.970	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.027	0.973	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.026	0.974	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.023	0.976	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.019	0.981	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.017	0.982	0.001
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.014	0.986	0.001
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.014	0.986	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.013	0.987	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.013	0.987	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.012	0.987	0.001
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.012	0.987	0.001
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.012	0.987	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.011	0.988	0.001
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.010	0.990	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.990	0.010
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.990	0.010
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	0.992	0.008
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.007	0.993	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	0.993	0.007
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.007	0.993	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.006	0.994	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	0.995	0.005
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.005	0.995	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	0.996	0.004
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.004	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.004	0.996	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.996	0.004
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	0.996	0.004
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.996	0.004
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.996	0.004
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.996	0.004
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	0.997	0.003
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.997	0.003
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.997	0.003
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.997	0.003
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.997	0.003
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	0.997	0.003
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.997	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.003	0.997	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.997	0.003
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.003	0.997	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.002	0.997	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.998	0.002
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	0.998	0.002
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.998	0.002
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.002	0.998	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.002	0.998	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	0.998	0.002
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.002	0.998	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.998	0.002
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	0.999	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.001	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.001
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.999	0.001
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	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
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.001	0.999	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.001	0.999	0.000
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.001	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.999	0.001
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.001	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.001
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	0.999	0.001
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.001	0.999	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.001	0.999	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.001	0.999	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	0.999	0.001
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.001	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.001	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.001	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.001	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.001	0.999	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	0.999	0.001
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.001
rs2075277 lBF = `0.205489` Chr`22` : `21,382,482`	0.000	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	1.000	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	1.000	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	1.000	0.000
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rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	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
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	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
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	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
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	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
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	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
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	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
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	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
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	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
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.9759

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.7787

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7154

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4405

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.0893

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

1.0000

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

1.0000

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

1.0000

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.9993

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9992

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.9985

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9969

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9967

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9876

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9788

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9784

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9728

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9664

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9585

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9552

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9326

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9177

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9138

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8965

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8943

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8818

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8806

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8728

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8322

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8307

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8083

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8051

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7938

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7592

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7449

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7340

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7189

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7181

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7173

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7107

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7037

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6853

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.6744

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6312

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6291

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6258

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5966

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5315

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5301

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5172

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5118

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5055

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4761

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4744

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4567

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4408

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4407

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4402

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4396

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4351

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4281

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4181

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4082

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4065

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4018

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3721

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3469

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3436

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3292

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3199

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3013

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2944

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2743

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2719

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2624

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2613

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2469

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2436

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2405

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2377

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2201

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2108

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2062

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2051

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2012

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2010

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1982

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1982

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1970

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1888

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1886

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1653

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1650

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1621

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1616

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1596

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1591

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1578

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1534

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1501

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1499

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1475

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1464

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1460

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1431

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1418

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1403

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1393

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1359

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1324

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1322

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1280

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1253

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1215

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1188

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1160

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1153

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1110

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1080

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0984

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0982

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0960

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0930

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0897

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0830

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0811

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0792

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0752

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0728

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0698

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0651

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0647

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0617

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0612

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0548

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0544

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0544

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.0538

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0530

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0525

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0521

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0519

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`)