TreeWAS – [C16] Malignant neoplasm of stomach

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
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.942	0.058	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.895	0.105	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.824	0.176	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.794	0.206	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.784	0.216	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.753	0.247	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.746	0.254	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.725	0.275	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.724	0.276	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.721	0.279	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.710	0.290	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.706	0.294	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.704	0.296	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.694	0.306	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.690	0.310	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.688	0.312	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.679	0.321	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.678	0.322	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.673	0.327	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.657	0.343	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.656	0.344	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.648	0.352	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.645	0.355	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.635	0.365	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.632	0.368	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.628	0.372	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.627	0.372	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.610	0.390	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.608	0.392	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.604	0.396	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.601	0.399	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.579	0.421	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.567	0.433	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.562	0.438	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.550	0.450	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.530	0.469	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.524	0.476	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.513	0.486	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.510	0.490	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.499	0.501	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.495	0.504	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.481	0.519	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.479	0.521	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.471	0.529	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.541	0.459
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.454	0.546	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.448	0.552	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.418	0.582	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.412	0.588	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.411	0.588	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.406	0.593	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.403	0.596	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.397	0.603	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.397	0.603	0.000
rs6066825 lBF = `2.9191` Chr`20` : `47,340,117`	0.000	0.619	0.381
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.371	0.628	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.365	0.635	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.357	0.643	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.344	0.656	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.334	0.666	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.319	0.681	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.315	0.684	0.001
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.313	0.687	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.308	0.692	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.304	0.696	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.302	0.698	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.296	0.703	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.292	0.708	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.282	0.718	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.264	0.735	0.001
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.262	0.737	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.746	0.254
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.253	0.747	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.250	0.750	0.001
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.249	0.750	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.245	0.755	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.243	0.756	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.238	0.762	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.227	0.773	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.223	0.777	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.218	0.782	0.000
rs6063312 lBF = `0.654202` Chr`20` : `47,343,059`	0.003	0.793	0.205
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.201	0.799	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.188	0.811	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.188	0.812	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.169	0.831	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.163	0.837	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.160	0.839	0.001
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.159	0.840	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.135	0.865	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.880	0.120
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.117	0.883	0.000
rs6040399 lBF = `0.1351` Chr`20` : `11,157,011`	0.000	0.887	0.113
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.106	0.894	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.106	0.894	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.104	0.895	0.001
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.100	0.900	0.000
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.099	0.900	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.099	0.901	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.086	0.913	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.921	0.078
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.071	0.929	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.063	0.936	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.058	0.942	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.056	0.944	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.052	0.948	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.051	0.949	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	0.956	0.044
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.043	0.957	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.036	0.964	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.035	0.965	0.000
rs754626 lBF = `0.0157014` Chr`20` : `36,017,340`	0.030	0.970	0.000
rs6085533 lBF = `0.102245` Chr`20` : `6,375,460`	0.000	0.971	0.029
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.028	0.971	0.001
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.028	0.972	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.026	0.974	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.025	0.975	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.024	0.975	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.023	0.977	0.000
rs12480807 lBF = `-0.072081` Chr`20` : `43,064,654`	0.000	0.977	0.023
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.020	0.979	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.019	0.980	0.000
rs6081541 lBF = `-0.0206467` Chr`20` : `19,212,890`	0.018	0.982	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.017	0.982	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.017	0.983	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.015	0.984	0.001
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.016	0.984	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.015	0.985	0.000
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	0.986	0.014
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.014	0.986	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.014	0.986	0.000
rs6054512 lBF = `0.0882823` Chr`20` : `6,761,512`	0.014	0.986	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.013	0.986	0.000
rs6051520 lBF = `0.402702` Chr`20` : `351,944`	0.000	0.988	0.012
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.012	0.988	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.012	0.988	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.012	0.988	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.012	0.988	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.011	0.989	0.000
rs6039763 lBF = `0.202961` Chr`20` : `10,183,517`	0.000	0.989	0.011
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.010	0.989	0.000
rs235770 lBF = `0.0982254` Chr`20` : `6,761,765`	0.010	0.989	0.000
rs6143035 lBF = `22.0883` Chr`20` : `60,920,700`	0.000	0.990	0.010
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.010	0.990	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.009	0.990	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.009	0.991	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.008	0.991	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.009	0.991	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.008	0.992	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.008	0.992	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.007	0.993	0.000
rs4812833 lBF = `1.61444` Chr`20` : `43,068,996`	0.000	0.993	0.007
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.007	0.993	0.000
rs6108011 lBF = `0.0351163` Chr`20` : `7,552,504`	0.007	0.993	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.006	0.993	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.007	0.993	0.000
rs34602589 lBF = `0.652866` Chr`20` : `43,768,734`	0.006	0.994	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	0.994	0.006
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.005	0.995	0.000
rs6046178 lBF = `8.17463` Chr`20` : `19,533,453`	0.005	0.995	0.000
rs2423279 lBF = `0.507836` Chr`20` : `7,812,350`	0.005	0.995	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.005	0.995	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	0.995	0.005
rs6062788 lBF = `-0.0874556` Chr`20` : `61,693,606`	0.004	0.996	0.000
rs1884302 lBF = `0.171877` Chr`20` : `7,106,289`	0.000	0.996	0.004
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.004	0.996	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.000	0.996	0.004
rs6090583 lBF = `-0.0566955` Chr`20` : `45,558,831`	0.004	0.996	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.004	0.996	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.004	0.996	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.003	0.996	0.001
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.996	0.000
rs6027506 lBF = `-0.0754539` Chr`20` : `58,896,715`	0.004	0.996	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.003	0.996	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.003	0.997	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.003	0.997	0.000
rs6073450 lBF = `0.0682833` Chr`20` : `43,086,648`	0.000	0.997	0.003
rs6060821 lBF = `0.0845104` Chr`20` : `30,294,034`	0.003	0.997	0.001
rs6066084 lBF = `0.0958774` Chr`20` : `45,460,323`	0.003	0.997	0.000
rs139672965 lBF = `0.00975118` Chr`20` : `25,266,900`	0.003	0.997	0.000
rs2207173 lBF = `1.8704` Chr`20` : `22,805,061`	0.003	0.997	0.000
rs6140038 lBF = `-0.00504891` Chr`20` : `6,582,162`	0.003	0.997	0.000
rs2618568 lBF = `-0.0691812` Chr`20` : `17,843,968`	0.003	0.997	0.000
rs6060960 lBF = `0.0766605` Chr`20` : `30,394,517`	0.002	0.997	0.001
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.003	0.997	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.003	0.997	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.002	0.998	0.000
rs11907546 lBF = `9.88038` Chr`20` : `32,719,797`	0.002	0.998	0.000
rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.002	0.998	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.002	0.998	0.000
rs1158167 lBF = `-0.00362974` Chr`20` : `23,578,189`	0.002	0.998	0.000
rs150097070 lBF = `0.0457431` Chr`20` : `18,660,667`	0.000	0.998	0.002
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	0.000	0.998	0.002
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.002	0.998	0.000
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	0.998	0.002
rs2064279 lBF = `0.0391112` Chr`20` : `42,094,474`	0.000	0.998	0.002
rs911119 lBF = `-0.0082142` Chr`20` : `23,612,737`	0.002	0.998	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.000	0.998	0.002
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rs6108801 lBF = `0.234645` Chr`20` : `10,989,519`	0.000	1.000	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.000	1.000	0.000
rs11699237 lBF = `-0.0217365` Chr`20` : `55,683,996`	0.000	1.000	0.000
rs6027072 lBF = `-0.0222178` Chr`20` : `37,284,070`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs10485681 lBF = `-0.0409523` Chr`20` : `40,493,072`	0.000	1.000	0.000
rs1223271 lBF = `-0.0492351` Chr`20` : `13,296,912`	0.000	1.000	0.000
rs964293 lBF = `-0.0683461` Chr`20` : `52,816,717`	0.000	1.000	0.000
rs6028945 lBF = `-0.0776588` Chr`20` : `38,820,805`	0.000	1.000	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	1.000	0.000
rs6082442 lBF = `7.80489` Chr`20` : `2,205,138`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs7267722 lBF = `0.10931` Chr`20` : `22,787,622`	0.000	1.000	0.000
rs16985493 lBF = `0.0534807` Chr`20` : `60,293,563`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs6048205 lBF = `-0.0034043` Chr`20` : `22,559,601`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs6074022 lBF = `-0.0202025` Chr`20` : `44,740,196`	0.000	1.000	0.000
rs238295 lBF = `-0.0365252` Chr`20` : `5,588,449`	0.000	1.000	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	1.000	0.000
rs2328223 lBF = `-0.0662184` Chr`20` : `17,845,921`	0.000	1.000	0.000
rs4814615 lBF = `-0.0668948` Chr`20` : `17,357,573`	0.000	1.000	0.000
rs6024938 lBF = `-0.0814531` Chr`20` : `55,109,304`	0.000	1.000	0.000
rs200639 lBF = `-0.08549` Chr`20` : `51,906,277`	0.000	1.000	0.000
rs4809370 lBF = `8.15462` Chr`20` : `62,470,872`	0.000	1.000	0.000
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs3790160 lBF = `-0.0005509` Chr`20` : `10,639,988`	0.000	1.000	0.000
rs362987 lBF = `-0.0019999` Chr`20` : `10,277,452`	0.000	1.000	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs6065094 lBF = `-0.0708019` Chr`20` : `37,453,194`	0.000	1.000	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.000	1.000	0.000
rs11696501 lBF = `-0.0889354` Chr`20` : `44,124,523`	0.000	1.000	0.000
rs6087685 lBF = `12.9938` Chr`20` : `33,777,612`	0.000	1.000	0.000
rs2050652 lBF = `7.02021` Chr`20` : `33,733,180`	0.000	1.000	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.000	1.000	0.000
rs874499 lBF = `5.73451` Chr`20` : `2,217,138`	0.000	1.000	0.000
rs6021275 lBF = `5.50302` Chr`20` : `50,155,124`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs74448913 lBF = `0.0355109` Chr`20` : `508,431`	0.000	1.000	0.000
rs115786578 lBF = `0.0351252` Chr`20` : `32,737,601`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs4812712 lBF = `-0.08616` Chr`20` : `42,104,939`	0.000	1.000	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	1.000	0.000
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.000	1.000	0.000
rs73078593 lBF = `0.17331` Chr`20` : `12,291,523`	0.000	1.000	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	1.000	0.000
rs6056869 lBF = `0.0352194` Chr`20` : `9,762,448`	0.000	1.000	0.000
rs397020 lBF = `0.00828012` Chr`20` : `1,205,886`	0.000	1.000	0.000
rs6087771 lBF = `0.00596033` Chr`20` : `30,306,724`	0.000	1.000	0.000
rs112815007 lBF = `-0.00179143` Chr`20` : `532,257`	0.000	1.000	0.000
rs2425752 lBF = `-0.00642696` Chr`20` : `44,702,120`	0.000	1.000	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.000	1.000	0.000
rs12480819 lBF = `-0.0786368` Chr`20` : `17,592,300`	0.000	1.000	0.000
rs4810479 lBF = `-0.0946705` Chr`20` : `44,545,048`	0.000	1.000	0.000
rs4815130 lBF = `9.49417` Chr`20` : `22,635,852`	0.000	1.000	0.000
rs6120513 lBF = `6.41611` Chr`20` : `32,675,636`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs4812829 lBF = `0.27595` Chr`20` : `42,989,267`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs127430 lBF = `0.00339958` Chr`20` : `57,164,855`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.000	1.000	0.000
rs1739654 lBF = `-0.0258588` Chr`20` : `36,977,970`	0.000	1.000	0.000
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	1.000	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	1.000	0.000
rs2424399 lBF = `-0.0708992` Chr`20` : `21,632,545`	0.000	1.000	0.000
rs6065080 lBF = `-0.0970129` Chr`20` : `59,832,791`	0.000	1.000	0.000
rs6013012 lBF = `6.74262` Chr`20` : `49,391,906`	0.000	1.000	0.000
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	0.000	1.000	0.000
rs6044777 lBF = `0.331462` Chr`20` : `17,368,542`	0.000	1.000	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.000	1.000	0.000
rs237743 lBF = `0.0156062` Chr`20` : `47,903,019`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs1028444 lBF = `-0.0547138` Chr`20` : `22,267,058`	0.000	1.000	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	1.000	0.000
rs2424460 lBF = `-0.0580349` Chr`20` : `22,740,897`	0.000	1.000	0.000
rs11696277 lBF = `-0.066727` Chr`20` : `17,264,604`	0.000	1.000	0.000
rs6134031 lBF = `-0.0774618` Chr`20` : `10,752,610`	0.000	1.000	0.000
rs6047800 lBF = `15.1478` Chr`20` : `2,252,739`	0.000	1.000	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.000	1.000	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	1.000	0.000
rs6085920 lBF = `-0.00040263` Chr`20` : `7,180,056`	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
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs852069 lBF = `-0.0667541` Chr`20` : `17,122,593`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs6047867 lBF = `16.1815` Chr`20` : `2,259,925`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6562

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.6407

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.3782

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3655

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.1958

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

1.0000

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9999

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9999

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9998

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9989

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9986

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9983

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9979

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.9974

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9972

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.9968

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9963

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9951

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9944

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9939

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9937

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9932

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9925

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.9924

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9913

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9912

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9900

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9884

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9883

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9878

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9875

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9870

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9865

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9839

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9810

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9776

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9727

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9724

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9680

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9673

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9662

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9658

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9656

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9654

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9636

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9624

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9608

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9584

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9531

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9528

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9493

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9489

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9407

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9402

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9401

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9339

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9335

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9315

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9248

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9233

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9217

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9210

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.9203

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9199

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9101

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8982

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8956

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8891

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.8889

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8887

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8840

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8822

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8810

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8795

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8767

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8765

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8722

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8659

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8597

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8573

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8521

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8372

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8364

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8316

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8306

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8279

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8272

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8249

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8230

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8189

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8103

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8083

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8025

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8020

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8016

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7985

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7953

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7947

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7936

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7833

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7788

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7704

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7703

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7700

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7600

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7342

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7319

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7257

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7175

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7136

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7115

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7102

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7081

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6958

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6947

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6832

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6734

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6630

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6608

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6566

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6440

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6392

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6369

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6326

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6325

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6294

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6277

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6254

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6196

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6178

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5978

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5976

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5949

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5938

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.5894

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5840

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5767

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5726

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5724

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5591

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5545

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5526

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5489

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.5472

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5390

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5294

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5263

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5190

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4868

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4864

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4728

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4689

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4635

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4619

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4598

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4572

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4533

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4486

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4399

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4110

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4109

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4005

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3944

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3937

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3931

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3838

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3814

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3693

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3654

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3584

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3560

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3384

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3329

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3158

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3029

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2950

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2925

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2872

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2808

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2742

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2729

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2726

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2662

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2633

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2527

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2513

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2455

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2299

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2001

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1890

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1839

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1561

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1280

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1183

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1067

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.0789

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0588

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0579

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.

Parent term	C15-C26 Malignant neoplasms of digestive organs
Nested terms	C16.0 Cardia C16.1 Fundus of stomach C16.2 Body of stomach C16.3 Pyloric antrum C16.4 Pylorus C16.5 Lesser curvature of stomach, unspecified C16.6 Greater curvature of stomach, unspecified C16.8 Overlapping lesion of stomach C16.9 Stomach, unspecified

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`)