TreeWAS – [Z85.9] Personal history of malignant neoplasm, unspecified

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
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.703	0.297	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.689	0.311	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.664	0.336	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.642	0.358	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.630	0.370	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.592	0.408	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.588	0.412	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.543	0.457	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.460	0.540
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.477	0.523
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.513	0.487	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.507	0.493	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.425	0.575	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.401	0.599	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.394	0.606	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.360	0.639	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.311	0.688	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.283	0.717	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.266	0.734	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.261	0.739	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.257	0.743	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.240	0.760	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.233	0.767	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.226	0.774	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.190	0.810	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.166	0.834	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.153	0.847	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.150	0.850	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.149	0.850	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.143	0.856	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.140	0.860	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.861	0.139
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.126	0.874	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.125	0.874	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.117	0.883	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.111	0.889	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.095	0.904	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.094	0.906	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.078	0.922	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.077	0.923	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.069	0.931	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.067	0.933	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.060	0.940	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.057	0.942	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.045	0.955	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.036	0.964	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.029	0.971	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.026	0.974	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.024	0.975	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.024	0.976	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.024	0.976	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.023	0.977	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.021	0.979	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.018	0.982	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.017	0.983	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.983	0.017
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.015	0.984	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.011	0.989	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.011	0.989	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.010	0.990	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.010	0.990	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.008	0.992	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.006	0.994	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.006	0.994	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.005	0.995	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.005	0.995	0.000
rs75653149 lBF = `20.0187` Chr`20` : `34,726,973`	0.004	0.996	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.004	0.996	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.004	0.996	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.004	0.996	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.996	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.004	0.996	0.000
rs4911414 lBF = `10.0514` Chr`20` : `32,729,444`	0.004	0.996	0.000
rs75691080 lBF = `0.0598647` Chr`20` : `62,269,750`	0.000	0.996	0.003
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.003	0.996	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.003	0.997	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.003	0.997	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.003	0.997	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.003	0.997	0.000
rs2426087 lBF = `0.00758754` Chr`20` : `47,379,811`	0.000	0.997	0.003
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.003	0.997	0.000
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	0.000	0.997	0.003
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.003	0.997	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.997	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.002	0.998	0.000
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.998	0.002
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.002	0.998	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.002	0.998	0.000
rs364585 lBF = `0.133376` Chr`20` : `12,962,718`	0.002	0.998	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.002	0.998	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.002	0.998	0.000
rs13043330 lBF = `0.00674976` Chr`20` : `3,756,597`	0.002	0.998	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.002	0.998	0.000
rs721424 lBF = `-0.0462477` Chr`20` : `20,339,310`	0.002	0.998	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.000	0.998	0.002
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.002	0.998	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.002	0.998	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.002	0.998	0.000
rs11907546 lBF = `9.88038` Chr`20` : `32,719,797`	0.000	0.998	0.002
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.002	0.998	0.000
rs235770 lBF = `0.0982254` Chr`20` : `6,761,765`	0.000	0.998	0.002
rs973409 lBF = `10.4088` Chr`20` : `32,536,364`	0.002	0.998	0.000
rs6054512 lBF = `0.0882823` Chr`20` : `6,761,512`	0.000	0.998	0.002
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.002	0.998	0.000
rs3761218 lBF = `-0.00241807` Chr`20` : `3,776,175`	0.002	0.998	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.001	0.998	0.000
rs2284386 lBF = `8.87868` Chr`20` : `32,644,396`	0.001	0.999	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.001	0.999	0.000
rs6049839 lBF = `-0.0755009` Chr`20` : `2,518,565`	0.001	0.999	0.000
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.001	0.999	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs6035684 lBF = `-0.0535479` Chr`20` : `20,735,577`	0.001	0.999	0.000
rs13045180 lBF = `-0.0807356` Chr`20` : `31,531,544`	0.000	0.999	0.001
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.001	0.999	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.000	0.999	0.001
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.001	0.999	0.000
rs2284378 lBF = `10.2093` Chr`20` : `32,588,095`	0.001	0.999	0.000
rs3903703 lBF = `0.0123464` Chr`20` : `12,945,963`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs2281558 lBF = `-0.0584925` Chr`20` : `25,240,189`	0.000	0.999	0.001
rs6122972 lBF = `0.113804` Chr`20` : `49,375,242`	0.000	0.999	0.001
rs742614 lBF = `0.351691` Chr`20` : `32,482,632`	0.001	0.999	0.000
rs187497509 lBF = `0.0037498` Chr`20` : `42,979,571`	0.000	0.999	0.001
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.001	0.999	0.000
rs6046346 lBF = `-0.00001321` Chr`20` : `19,802,188`	0.001	0.999	0.000
rs191335472 lBF = `-0.00002611` Chr`20` : `2,042,352`	0.000	0.999	0.001
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	0.999	0.001
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs6036169 lBF = `6.54958` Chr`20` : `22,645,877`	0.000	0.999	0.001
rs932425 lBF = `0.0380209` Chr`20` : `37,873,610`	0.001	0.999	0.000
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	0.999	0.001
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.001	0.999	0.000
rs4815130 lBF = `9.49417` Chr`20` : `22,635,852`	0.000	0.999	0.001
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.000	0.999	0.001
rs2300206 lBF = `9.62073` Chr`20` : `32,589,808`	0.000	0.999	0.001
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	0.999	0.001
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.001	0.999	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.001	0.999	0.000
rs6088316 lBF = `17.437` Chr`20` : `32,426,842`	0.001	0.999	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.001	0.999	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	0.999	0.001
rs6080212 lBF = `0.104464` Chr`20` : `16,277,630`	0.001	0.999	0.000
rs6062344 lBF = `0.123965` Chr`20` : `62,696,024`	0.000	0.999	0.001
rs331615 lBF = `-0.0563706` Chr`20` : `55,638,537`	0.001	0.999	0.000
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.001	0.999	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.000	0.999	0.001
rs4911442 lBF = `29.2005` Chr`20` : `33,355,046`	0.001	0.999	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.001	0.999	0.000
rs6013012 lBF = `6.74262` Chr`20` : `49,391,906`	0.000	0.999	0.001
rs1209523 lBF = `-0.0139439` Chr`20` : `22,567,942`	0.001	0.999	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.001	0.999	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	0.001	0.999	0.000
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	0.999	0.001
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.001	0.999	0.000
rs6036176 lBF = `5.30879` Chr`20` : `22,668,305`	0.000	0.999	0.001
rs6136489 lBF = `-0.0201172` Chr`20` : `1,923,734`	0.001	0.999	0.000
rs6036759 lBF = `-0.109938` Chr`20` : `2,491,209`	0.000	0.999	0.001
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.000	0.999	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.000	0.999	0.001
rs2425052 lBF = `8.43174` Chr`20` : `33,880,729`	0.001	0.999	0.000
rs761998 lBF = `-0.0494771` Chr`20` : `14,309,952`	0.000	0.999	0.001
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	0.000	0.999	0.001
rs6078000 lBF = `10.313` Chr`20` : `10,977,631`	0.001	0.999	0.000
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	0.000	0.999	0.001
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.001	0.999	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs6134479 lBF = `-0.111317` Chr`20` : `12,222,165`	0.001	0.999	0.000
rs2425224 lBF = `13.1546` Chr`20` : `35,002,849`	0.000	0.999	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	0.999	0.001
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	0.999	0.001
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.999	0.000
rs6072091 lBF = `-0.0686652` Chr`20` : `39,292,074`	0.001	0.999	0.000
rs2224538 lBF = `-0.0802694` Chr`20` : `38,552,078`	0.000	0.999	0.001
rs926392 lBF = `-0.0127618` Chr`20` : `37,690,464`	0.000	0.999	0.001
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	0.999	0.001
rs7267979 lBF = `-0.0816562` Chr`20` : `25,298,087`	0.001	0.999	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	0.999	0.001
rs11696501 lBF = `-0.0889354` Chr`20` : `44,124,523`	0.001	0.999	0.000
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.001	0.999	0.000
rs2425003 lBF = `24.2159` Chr`20` : `33,403,584`	0.000	0.999	0.000
rs6040449 lBF = `0.377949` Chr`20` : `11,209,522`	0.000	0.999	0.001
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rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.000	1.000	0.000
rs6108801 lBF = `0.234645` Chr`20` : `10,989,519`	0.000	1.000	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.000	1.000	0.000
rs199307 lBF = `0.046558` Chr`20` : `15,177,580`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs159788 lBF = `0.0175034` Chr`20` : `4,352,104`	0.000	1.000	0.000
rs1998081 lBF = `-0.00276222` Chr`20` : `23,057,482`	0.000	1.000	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	1.000	0.000
rs2745851 lBF = `-0.0147856` Chr`20` : `17,829,280`	0.000	1.000	0.000
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.000	1.000	0.000
rs6103489 lBF = `-0.0207067` Chr`20` : `42,487,204`	0.000	1.000	0.000
rs6013355 lBF = `-0.0379993` Chr`20` : `50,637,660`	0.000	1.000	0.000
rs6025281 lBF = `-0.0436026` Chr`20` : `55,561,000`	0.000	1.000	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.000	1.000	0.000
rs6084875 lBF = `-0.0504959` Chr`20` : `4,742,705`	0.000	1.000	0.000
rs878131 lBF = `-0.0632548` Chr`20` : `45,680,502`	0.000	1.000	0.000
rs852069 lBF = `-0.0667541` Chr`20` : `17,122,593`	0.000	1.000	0.000
rs6124684 lBF = `-0.0980153` Chr`20` : `43,721,493`	0.000	1.000	0.000
rs2206405 lBF = `-0.127554` Chr`20` : `7,638,949`	0.000	1.000	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.000	1.000	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.000	1.000	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.000	1.000	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.000	1.000	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.000	1.000	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.000	1.000	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.000	1.000	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.000	1.000	0.000
rs78404372 lBF = `3.11633` Chr`20` : `55,855,793`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.000	1.000	0.000
rs4811971 lBF = `0.986235` Chr`20` : `56,796,784`	0.000	1.000	0.000
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	0.000	1.000	0.000
rs6140050 lBF = `0.539805` Chr`20` : `6,632,901`	0.000	1.000	0.000
rs979012 lBF = `0.528327` Chr`20` : `6,623,374`	0.000	1.000	0.000
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.000	1.000	0.000
rs6070116 lBF = `0.366143` Chr`20` : `56,044,184`	0.000	1.000	0.000
rs6104691 lBF = `0.186417` Chr`20` : `10,996,911`	0.000	1.000	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	1.000	0.000
rs16997087 lBF = `0.11076` Chr`20` : `16,054,982`	0.000	1.000	0.000
rs2144940 lBF = `0.095381` Chr`20` : `23,050,806`	0.000	1.000	0.000
rs2144134 lBF = `0.0925736` Chr`20` : `13,148,152`	0.000	1.000	0.000
rs7262634 lBF = `0.0904071` Chr`20` : `45,834,279`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs6091540 lBF = `0.050287` Chr`20` : `51,087,862`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs6515773 lBF = `0.0393888` Chr`20` : `3,174,105`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs127430 lBF = `0.00339958` Chr`20` : `57,164,855`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs7360412 lBF = `-0.00343882` Chr`20` : `2,800,801`	0.000	1.000	0.000
rs6085820 lBF = `-0.00665632` Chr`20` : `6,980,635`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs6057884 lBF = `-0.0329813` Chr`20` : `32,296,681`	0.000	1.000	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs6118083 lBF = `-0.0584738` Chr`20` : `8,114,704`	0.000	1.000	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	1.000	0.000
rs2618568 lBF = `-0.0691812` Chr`20` : `17,843,968`	0.000	1.000	0.000
rs12480819 lBF = `-0.0786368` Chr`20` : `17,592,300`	0.000	1.000	0.000
rs8118008 lBF = `-0.0812984` Chr`20` : `3,168,166`	0.000	1.000	0.000
rs2248359 lBF = `-0.0895987` Chr`20` : `52,791,518`	0.000	1.000	0.000
rs4810479 lBF = `-0.0946705` Chr`20` : `44,545,048`	0.000	1.000	0.000
rs2902940 lBF = `-0.0968245` Chr`20` : `39,091,487`	0.000	1.000	0.000
rs967417 lBF = `-0.101207` Chr`20` : `6,620,893`	0.000	1.000	0.000
rs2235617 lBF = `-0.109036` Chr`20` : `48,554,977`	0.000	1.000	0.000
rs6068020 lBF = `-0.113666` Chr`20` : `50,559,652`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs84824 lBF = `16.3155` Chr`20` : `2,301,285`	0.000	1.000	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	1.000	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.000	1.000	0.000
rs2050652 lBF = `7.02021` Chr`20` : `33,733,180`	0.000	1.000	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.000	1.000	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.000	1.000	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs4812833 lBF = `1.61444` Chr`20` : `43,068,996`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs13036344 lBF = `1.14379` Chr`20` : `31,313,737`	0.000	1.000	0.000
rs586446 lBF = `0.660488` Chr`20` : `4,387,134`	0.000	1.000	0.000
rs6063312 lBF = `0.654202` Chr`20` : `47,343,059`	0.000	1.000	0.000
rs34602589 lBF = `0.652866` Chr`20` : `43,768,734`	0.000	1.000	0.000
rs2276498 lBF = `0.495772` Chr`20` : `52,610,496`	0.000	1.000	0.000
rs2145272 lBF = `0.452284` Chr`20` : `6,626,218`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs6135309 lBF = `0.292984` Chr`20` : `14,902,522`	0.000	1.000	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.000	1.000	0.000
rs4911259 lBF = `0.194095` Chr`20` : `31,376,282`	0.000	1.000	0.000

This table lists the top 500 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 X0105

log Bayes Factor = 23.0031

contains 2 variants

0.7553

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5396

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1266

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9782

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9564

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9291

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9197

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9099

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9040

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9027

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8945

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8856

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8796

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8582

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.8565

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8500

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8361

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8331

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8173

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8038

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7994

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7884

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7832

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7665

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7648

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7483

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7103

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7081

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6687

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6582

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6466

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6446

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6345

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5814

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5511

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4238

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4010

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3163

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2573

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2519

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2334

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2154

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2152

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2047

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1918

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1623

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1531

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1308

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1235

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1233

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1049

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1032

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1022

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0970

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0744

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0730

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0714

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0685

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0647

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0614

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0546

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0529

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`)