TreeWAS – [Z12.8] Special screening examination for neoplasm of other sites

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
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.722	0.277	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.665	0.335	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.660	0.340	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.587	0.413	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.533	0.467	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.510	0.489	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.454	0.545	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.447	0.553	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.443	0.557	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.429	0.571	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.399	0.601	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.390	0.610	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.387	0.613	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.382	0.618	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.365	0.635	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.363	0.637	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.362	0.638	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.355	0.645	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.351	0.649	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.343	0.657	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.341	0.659	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.336	0.664	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.332	0.668	0.001
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.328	0.671	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.325	0.674	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.321	0.679	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.284	0.716	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.281	0.718	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.276	0.723	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.268	0.731	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.259	0.741	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.254	0.746	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.248	0.752	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.235	0.764	0.001
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.212	0.788	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.207	0.793	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.205	0.795	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.195	0.805	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.182	0.818	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.171	0.829	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.168	0.832	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.159	0.840	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.154	0.845	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.141	0.859	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.138	0.862	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.129	0.871	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.127	0.872	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.874	0.126
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.112	0.887	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.104	0.895	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.100	0.899	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.904	0.096
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.093	0.906	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.081	0.919	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.081	0.919	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.077	0.923	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.076	0.924	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.073	0.927	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.072	0.928	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.071	0.928	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.059	0.940	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.055	0.944	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.047	0.953	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.041	0.956	0.003
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.042	0.958	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.029	0.970	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.001	0.974	0.025
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.975	0.025
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.023	0.975	0.001
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.024	0.976	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.021	0.978	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.020	0.980	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.019	0.981	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.019	0.981	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.018	0.982	0.001
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.016	0.983	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.015	0.985	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.014	0.986	0.000
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.012	0.988	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.011	0.989	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.009	0.991	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.009	0.991	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.008	0.991	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.008	0.991	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.008	0.992	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.008	0.992	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.007	0.993	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.007	0.993	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.006	0.993	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.006	0.993	0.000
rs6066825 lBF = `2.9191` Chr`20` : `47,340,117`	0.000	0.994	0.006
rs6120513 lBF = `6.41611` Chr`20` : `32,675,636`	0.005	0.995	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.005	0.995	0.000
rs1570027 lBF = `35.8411` Chr`20` : `60,968,596`	0.000	0.995	0.004
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.004	0.996	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.004	0.996	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.004	0.996	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.004	0.996	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.004	0.996	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.004	0.996	0.000
rs62217115 lBF = `0.0156827` Chr`20` : `12,469,558`	0.000	0.996	0.003
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.997	0.000
rs2427308 lBF = `35.7238` Chr`20` : `60,969,451`	0.000	0.997	0.003
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.003	0.997	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.003	0.997	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.003	0.997	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.003	0.997	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.003	0.997	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.002	0.997	0.000
rs874499 lBF = `5.73451` Chr`20` : `2,217,138`	0.003	0.997	0.000
rs4809370 lBF = `8.15462` Chr`20` : `62,470,872`	0.000	0.997	0.003
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs4815070 lBF = `8.72648` Chr`20` : `2,235,758`	0.002	0.998	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs871913 lBF = `0.115156` Chr`20` : `16,144,345`	0.002	0.998	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.002	0.998	0.000
rs2023454 lBF = `-0.00136264` Chr`20` : `53,267,111`	0.002	0.998	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.002	0.998	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.001	0.998	0.000
rs2738774 lBF = `1.08855` Chr`20` : `62,269,338`	0.000	0.998	0.002
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.002	0.998	0.000
rs157093 lBF = `-0.0495069` Chr`20` : `56,252,956`	0.002	0.998	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.001	0.998	0.001
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.002	0.998	0.000
rs2206405 lBF = `-0.127554` Chr`20` : `7,638,949`	0.000	0.998	0.002
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.002	0.998	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.002	0.998	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.998	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.000	0.998	0.001
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.001	0.998	0.001
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.001	0.999	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.001	0.999	0.000
rs6024938 lBF = `-0.0814531` Chr`20` : `55,109,304`	0.000	0.999	0.001
rs1407335 lBF = `0.0235436` Chr`20` : `13,222,858`	0.001	0.999	0.000
rs6082442 lBF = `7.80489` Chr`20` : `2,205,138`	0.001	0.999	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.001	0.999	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.001	0.999	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.001	0.999	0.000
rs1533087 lBF = `-0.0473504` Chr`20` : `594,780`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.001	0.999	0.000
rs293709 lBF = `31.4762` Chr`20` : `31,938,106`	0.001	0.999	0.000
rs2236200 lBF = `11.5014` Chr`20` : `60,986,019`	0.000	0.999	0.001
rs6104691 lBF = `0.186417` Chr`20` : `10,996,911`	0.000	0.999	0.001
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.001	0.999	0.000
rs2070755 lBF = `0.26907` Chr`20` : `56,138,040`	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
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
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
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	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
rs6079395 lBF = `-0.0571471` Chr`20` : `14,327,899`	0.000	0.999	0.001
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
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
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.001	0.999	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.001	0.999	0.000
rs495337 lBF = `-0.111289` Chr`20` : `48,522,330`	0.000	0.999	0.001
rs157089 lBF = `-0.0601448` Chr`20` : `56,250,943`	0.001	0.999	0.000
rs2273500 lBF = `4.2925` Chr`20` : `61,986,949`	0.000	0.999	0.001
rs1233754 lBF = `0.0121221` Chr`20` : `15,552,811`	0.001	0.999	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	0.999	0.001
rs35548558 lBF = `-0.106813` Chr`20` : `12,689,601`	0.001	0.999	0.000
rs1320561 lBF = `-0.0649904` Chr`20` : `23,097,880`	0.000	0.999	0.001
rs2041278 lBF = `-0.10269` Chr`20` : `52,268,995`	0.000	0.999	0.001
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	0.999	0.001
rs76473307 lBF = `0.0104573` Chr`20` : `57,406,068`	0.001	0.999	0.000
rs261360 lBF = `-0.0624635` Chr`20` : `5,037,774`	0.000	0.999	0.001
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	0.999	0.001
rs2235808 lBF = `-0.0858124` Chr`20` : `42,815,795`	0.001	0.999	0.000
rs4810685 lBF = `-0.0993946` Chr`20` : `46,400,713`	0.000	0.999	0.001
rs6062543 lBF = `5.50924` Chr`20` : `62,451,079`	0.000	0.999	0.001
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.001	0.999	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.001	0.999	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.001	0.999	0.000
rs2235617 lBF = `-0.109036` Chr`20` : `48,554,977`	0.000	0.999	0.001
rs1056198 lBF = `-0.10939` Chr`20` : `48,556,229`	0.000	0.999	0.001
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.001	0.999	0.000
rs1884302 lBF = `0.171877` Chr`20` : `7,106,289`	0.000	0.999	0.001
rs6027755 lBF = `-0.0758682` Chr`20` : `59,268,710`	0.000	0.999	0.001
rs973409 lBF = `10.4088` Chr`20` : `32,536,364`	0.001	0.999	0.000
rs187497509 lBF = `0.0037498` Chr`20` : `42,979,571`	0.000	0.999	0.000
rs6065080 lBF = `-0.0970129` Chr`20` : `59,832,791`	0.000	0.999	0.001
rs1074683 lBF = `2.4111` Chr`20` : `32,304,653`	0.000	0.999	0.001
rs6092354 lBF = `1.46723` Chr`20` : `55,294,474`	0.000	0.999	0.000
rs2073145 lBF = `-0.00195342` Chr`20` : `56,190,634`	0.001	0.999	0.000
rs4814920 lBF = `-0.0166134` Chr`20` : `19,865,956`	0.001	0.999	0.000
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rs11699160 lBF = `14.6736` Chr`20` : `60,958,651`	0.000	1.000	0.000
rs1887320 lBF = `10.7614` Chr`20` : `10,965,998`	0.000	1.000	0.000
rs6021275 lBF = `5.50302` Chr`20` : `50,155,124`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs6028335 lBF = `0.0749718` Chr`20` : `37,845,477`	0.000	1.000	0.000
rs1741629 lBF = `0.0615061` Chr`20` : `23,898,995`	0.000	1.000	0.000
rs6017291 lBF = `0.00463084` Chr`20` : `42,854,134`	0.000	1.000	0.000
rs6078493 lBF = `0.00202486` Chr`20` : `1,277,099`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	1.000	0.000
rs6046393 lBF = `-0.0190458` Chr`20` : `19,852,250`	0.000	1.000	0.000
rs454422 lBF = `-0.0414817` Chr`20` : `5,943,693`	0.000	1.000	0.000
rs6110809 lBF = `-0.0517478` Chr`20` : `15,851,077`	0.000	1.000	0.000
rs6059101 lBF = `-0.0598342` Chr`20` : `31,718,653`	0.000	1.000	0.000
rs844917 lBF = `-0.0723708` Chr`20` : `23,141,655`	0.000	1.000	0.000
rs6013382 lBF = `-0.0993429` Chr`20` : `50,702,633`	0.000	1.000	0.000
rs2743173 lBF = `-0.114989` Chr`20` : `8,245,293`	0.000	1.000	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.000	1.000	0.000
rs6046144 lBF = `21.5897` Chr`20` : `19,477,390`	0.000	1.000	0.000
rs61341205 lBF = `18.6455` Chr`20` : `33,072,578`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.000	1.000	0.000
rs17801791 lBF = `6.11212` Chr`20` : `50,139,020`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs742614 lBF = `0.351691` Chr`20` : `32,482,632`	0.000	1.000	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.000	1.000	0.000
rs6062344 lBF = `0.123965` Chr`20` : `62,696,024`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs2064279 lBF = `0.0391112` Chr`20` : `42,094,474`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs55970365 lBF = `0.0105177` Chr`20` : `38,725,186`	0.000	1.000	0.000
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	1.000	0.000
rs6140038 lBF = `-0.00504891` Chr`20` : `6,582,162`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs6044834 lBF = `-0.0292816` Chr`20` : `17,436,473`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	1.000	0.000
rs6030712 lBF = `-0.0770843` Chr`20` : `35,637,398`	0.000	1.000	0.000
rs1741309 lBF = `-0.0826531` Chr`20` : `4,144,577`	0.000	1.000	0.000
rs214803 lBF = `38.436` Chr`20` : `2,290,333`	0.000	1.000	0.000
rs57627107 lBF = `14.2227` Chr`20` : `60,898,244`	0.000	1.000	0.000
rs1327235 lBF = `11.5922` Chr`20` : `10,969,030`	0.000	1.000	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.000	1.000	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	1.000	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.000	1.000	0.000
rs6137726 lBF = `5.43594` Chr`20` : `22,672,420`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs7274581 lBF = `0.081653` Chr`20` : `55,018,260`	0.000	1.000	0.000
rs199307 lBF = `0.046558` Chr`20` : `15,177,580`	0.000	1.000	0.000
rs6108011 lBF = `0.0351163` Chr`20` : `7,552,504`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs3790268 lBF = `-0.0426481` Chr`20` : `19,571,581`	0.000	1.000	0.000
rs4491792 lBF = `-0.0476587` Chr`20` : `16,740,825`	0.000	1.000	0.000
rs1223271 lBF = `-0.0492351` Chr`20` : `13,296,912`	0.000	1.000	0.000
rs59329875 lBF = `-0.050512` Chr`20` : `44,547,672`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs6073972 lBF = `-0.0601376` Chr`20` : `44,590,298`	0.000	1.000	0.000
rs6056891 lBF = `-0.0960935` Chr`20` : `9,778,729`	0.000	1.000	0.000
rs6091737 lBF = `-0.12047` Chr`20` : `52,349,892`	0.000	1.000	0.000
rs6060043 lBF = `24.0784` Chr`20` : `33,364,584`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs6036169 lBF = `6.54958` Chr`20` : `22,645,877`	0.000	1.000	0.000
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.000	1.000	0.000
rs6021270 lBF = `2.35402` Chr`20` : `50,141,264`	0.000	1.000	0.000
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.000	1.000	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	1.000	0.000
rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.000	1.000	0.000
rs6025590 lBF = `0.258413` Chr`20` : `56,070,505`	0.000	1.000	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs11086243 lBF = `0.0395968` Chr`20` : `46,779,235`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs6099847 lBF = `0.00673668` Chr`20` : `56,501,979`	0.000	1.000	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs6073958 lBF = `-0.048734` Chr`20` : `44,551,855`	0.000	1.000	0.000
rs4465830 lBF = `-0.0581894` Chr`20` : `44,585,420`	0.000	1.000	0.000
rs7679 lBF = `-0.0584116` Chr`20` : `44,576,502`	0.000	1.000	0.000
rs6124684 lBF = `-0.0980153` Chr`20` : `43,721,493`	0.000	1.000	0.000
rs2425003 lBF = `24.2159` Chr`20` : `33,403,584`	0.000	1.000	0.000
rs3787220 lBF = `23.8412` Chr`20` : `33,337,751`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.000	1.000	0.000
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.000	1.000	0.000
rs17305657 lBF = `8.65046` Chr`20` : `31,806,588`	0.000	1.000	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.000	1.000	0.000
rs62208037 lBF = `5.56284` Chr`20` : `62,081,262`	0.000	1.000	0.000
rs17396317 lBF = `5.25351` Chr`20` : `31,790,377`	0.000	1.000	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	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

0.0517

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9902

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9890

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9803

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9674

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9615

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9563

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9557

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9549

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9448

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9445

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9361

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9295

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9088

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9071

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8988

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8970

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8877

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8863

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8738

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8709

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8701

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8635

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8629

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8506

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8460

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8422

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8401

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8383

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8377

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8317

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8310

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8257

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8097

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8085

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8071

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8020

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8011

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7989

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7962

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7940

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7939

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7909

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7785

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7647

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7511

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7397

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7335

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7295

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7276

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7244

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7160

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7072

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7050

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7037

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7020

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6968

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6758

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6614

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6534

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6417

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6203

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6159

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6149

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6075

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6073

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5999

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5961

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5874

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5777

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5692

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5687

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5524

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5514

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5420

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5370

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5343

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5286

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5230

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5064

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4906

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4872

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4712

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4649

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4448

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4377

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4120

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4090

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4076

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4061

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4020

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3755

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3752

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3713

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3687

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3631

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3612

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3435

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3379

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3182

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3155

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2878

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2799

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2731

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2703

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2687

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2502

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2388

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2251

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2171

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2162

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2112

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1717

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1659

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1528

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1375

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1317

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1312

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1220

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1162

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1098

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0976

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0918

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0776

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0765

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0746

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0675

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0663

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0575

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`)