TreeWAS – [C76-C80] Malignant neoplasms of ill-defined, secondary and unspecified 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
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	1.000	0.000	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.000	1.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	1.000	0.000	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	1.000	0.000	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	1.000	0.000	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	1.000	0.000	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	1.000	0.000	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	1.000	0.000	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	1.000	0.000	0.000
rs34454471 lBF = `18.9993` Chr`11` : `64,607,670`	1.000	0.000	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	1.000	0.000	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	1.000	0.000	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	1.000	0.000	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	1.000	0.000	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	1.000	0.000	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	1.000	0.000	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	1.000	0.000	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	1.000	0.000	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	1.000	0.000	0.000
rs61756485 lBF = `16.787` Chr`12` : `99,020,125`	1.000	0.000	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	1.000	0.000	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	1.000	0.000	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	1.000	0.000	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	1.000	0.000	0.000
rs115670257 lBF = `13.9956` Chr`1` : `152,184,907`	1.000	0.000	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	1.000	0.000	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	1.000	0.000	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	1.000	0.000	0.000
rs12069336 lBF = `13.4724` Chr`1` : `162,129,334`	1.000	0.000	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	1.000	0.000	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	1.000	0.000	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	1.000	0.000	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	1.000	0.000	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	1.000	0.000	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	1.000	0.000	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	1.000	0.000	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	1.000	0.000	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	1.000	0.000	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	1.000	0.000	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	1.000	0.000	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	1.000	0.000	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	1.000	0.000	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	1.000	0.000	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	1.000	0.000	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	1.000	0.000	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	1.000	0.000	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	1.000	0.000	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	1.000	0.000	0.000
rs10493807 lBF = `10.1493` Chr`1` : `88,622,731`	1.000	0.000	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	1.000	0.000	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	1.000	0.000	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	1.000	0.000	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	1.000	0.000	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	1.000	0.000	0.000
rs10181532 lBF = `9.15061` Chr`2` : `18,430,432`	1.000	0.000	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	1.000	0.000	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	1.000	0.000	0.000
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	1.000	0.000	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	1.000	0.000	0.000
rs4906356 lBF = `7.54691` Chr`14` : `104,138,701`	1.000	0.000	0.000
rs1799796 lBF = `7.32489` Chr`14` : `104,165,927`	1.000	0.000	0.000
rs1573706 lBF = `7.31447` Chr`20` : `40,921,149`	1.000	0.000	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	1.000	0.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	1.000	0.000	0.000
rs10232170 lBF = `7.08309` Chr`7` : `34,181,522`	1.000	0.000	0.000
rs2940479 lBF = `6.80075` Chr`5` : `175,002,424`	1.000	0.000	0.000
rs56207248 lBF = `6.58472` Chr`2` : `25,065,986`	1.000	0.000	0.000
rs117091075 lBF = `6.45647` Chr`13` : `83,643,550`	1.000	0.000	0.000
Affx-26917190 lBF = `6.14668` Chr`5` : `71,081,960`	0.000	0.000	1.000
rs1813160 lBF = `6.11205` Chr`2` : `71,360,625`	1.000	0.000	0.000
rs7855757 lBF = `5.95951` Chr`9` : `19,712,378`	1.000	0.000	0.000
rs11725957 lBF = `5.87175` Chr`4` : `49,062,892`	1.000	0.000	0.000
rs6713543 lBF = `5.72841` Chr`2` : `1,635,176`	1.000	0.000	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	1.000	0.000	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	1.000	0.000	0.000
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	1.000	0.000	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	1.000	0.000	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	1.000	0.000	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	1.000	0.000	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	1.000	0.000	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	1.000	0.000	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	1.000	0.000	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.000	1.000
rs78222176 lBF = `16.052` Chr`14` : `100,115,473`	1.000	0.000	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	1.000	0.000	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	1.000	0.000	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	1.000	0.000	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	1.000	0.000	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	1.000	0.000	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	1.000	0.000	0.000
rs117097688 lBF = `14.0975` Chr`11` : `1,046,316`	1.000	0.000	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	1.000	0.000	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	1.000	0.000	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	1.000	0.000	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	1.000	0.000	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	1.000	0.000	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	1.000	0.000	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	1.000	0.000	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	1.000	0.000	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	1.000	0.000	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	1.000	0.000	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	1.000	0.000	0.000
rs59104984 lBF = `9.35952` Chr`3` : `135,322,531`	1.000	0.000	0.000
rs61901649 lBF = `7.32545` Chr`11` : `59,340,013`	1.000	0.000	0.000
rs77644898 lBF = `5.78522` Chr`1` : `234,899,258`	1.000	0.000	0.000
rs75204950 lBF = `5.67025` Chr`2` : `207,263,858`	1.000	0.000	0.000
rs1887631 lBF = `5.57517` Chr`1` : `108,067,232`	0.000	0.000	1.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	1.000	0.000	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	0.000	1.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	1.000	0.000	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	1.000	0.000	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	1.000	0.000	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	1.000	0.000	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	1.000	0.000	0.000
rs76086850 lBF = `17.5203` Chr`6` : `152,508,097`	1.000	0.000	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	1.000	0.000	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	1.000	0.000	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	1.000	0.000	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	1.000	0.000	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	1.000	0.000	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	1.000	0.000	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	1.000	0.000	0.000
rs1687727 lBF = `8.86611` Chr`10` : `27,895,339`	1.000	0.000	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	1.000	0.000	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	1.000	0.000	0.000
rs17066040 lBF = `8.08905` Chr`8` : `3,270,667`	1.000	0.000	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	1.000	0.000	0.000
rs79673927 lBF = `6.88382` Chr`1` : `170,899,068`	0.000	0.000	1.000
rs28485419 lBF = `6.77026` Chr`1` : `102,495,987`	0.000	0.000	1.000
rs7279238 lBF = `6.50081` Chr`21` : `43,092,206`	1.000	0.000	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	1.000	0.000	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.000	1.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	1.000	0.000	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	1.000	0.000	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	1.000	0.000	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	1.000	0.000	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	1.000	0.000	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	1.000	0.000	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	1.000	0.000	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	1.000	0.000	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	1.000	0.000	0.000
rs1494715 lBF = `9.01355` Chr`5` : `26,424,083`	1.000	0.000	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	1.000	0.000	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	1.000	0.000	0.000
rs57387722 lBF = `5.02831` Chr`4` : `31,011,294`	1.000	0.000	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	1.000	0.000	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	1.000	0.000	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	1.000	0.000	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	1.000	0.000	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	1.000	0.000	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	1.000	0.000	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	1.000	0.000	0.000
rs588779 lBF = `8.03801` Chr`2` : `67,665,951`	1.000	0.000	0.000
rs3770657 lBF = `7.98305` Chr`2` : `67,630,980`	1.000	0.000	0.000
rs7237422 lBF = `7.61091` Chr`18` : `69,334,652`	0.000	0.000	1.000
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	1.000	0.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	1.000	0.000	0.000
rs72703193 lBF = `5.14866` Chr`5` : `914,309`	1.000	0.000	0.000
rs11601321 lBF = `4.40566` Chr`11` : `125,193,596`	1.000	0.000	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	1.000	0.000	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	1.000	0.000	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	1.000	0.000	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	1.000	0.000	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	1.000	0.000	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	1.000	0.000	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	1.000	0.000	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	1.000	0.000	0.000
rs76157199 lBF = `10.0516` Chr`2` : `98,541,874`	1.000	0.000	0.000
rs78442748 lBF = `5.95674` Chr`2` : `62,105,986`	1.000	0.000	0.000
rs500044 lBF = `5.94192` Chr`9` : `4,002,823`	1.000	0.000	0.000
rs3809272 lBF = `28.191` Chr`12` : `111,800,258`	1.000	0.000	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	1.000	0.000	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	1.000	0.000	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	1.000	0.000	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	1.000	0.000	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	1.000	0.000	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	1.000	0.000	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	1.000	0.000	0.000
rs76191003 lBF = `9.4885` Chr`12` : `47,182,531`	1.000	0.000	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	1.000	0.000	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	1.000	0.000	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	1.000	0.000	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.000	1.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	1.000	0.000	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	1.000	0.000	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	1.000	0.000	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	1.000	0.000	0.000
rs10905279 lBF = `7.21525` Chr`10` : `8,107,572`	1.000	0.000	0.000
rs2297603 lBF = `6.02943` Chr`9` : `101,778,265`	1.000	0.000	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	1.000	0.000	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	1.000	0.000	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	1.000	0.000	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	1.000	0.000	0.000
rs34026679 lBF = `10.6117` Chr`21` : `27,248,814`	1.000	0.000	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	1.000	0.000	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	1.000	0.000	0.000
rs61786357 lBF = `5.38959` Chr`1` : `97,775,113`	1.000	0.000	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	1.000	0.000	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	1.000	0.000	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	1.000	0.000	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	1.000	0.000	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	1.000	0.000	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	1.000	0.000	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	1.000	0.000	0.000
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rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.998	0.002	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.998	0.002	0.000
rs10509168 lBF = `9.52928` Chr`10` : `64,257,828`	0.998	0.002	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.998	0.002	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.998	0.002	0.000
rs2844510 lBF = `60.6952` Chr`6` : `31,410,408`	0.000	0.002	0.998
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.998	0.002	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.998	0.002	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.998	0.002	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.998	0.002	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.998	0.002	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.998	0.002	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.998	0.002	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.998	0.002	0.000
rs74472562 lBF = `10.3285` Chr`11` : `44,762,755`	0.998	0.002	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.998	0.002	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.998	0.002	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.998	0.002	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.998	0.002	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.998	0.002	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.998	0.002	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.998	0.002	0.000
rs9276826 lBF = `16.7625` Chr`6` : `32,830,568`	0.000	0.002	0.998
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.998	0.002	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.998	0.002	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.998	0.002	0.000
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.998	0.002	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.998	0.002	0.000
rs7137828 lBF = `136.212` Chr`12` : `111,932,800`	0.998	0.002	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.998	0.002	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.997	0.003	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.997	0.003	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.997	0.003	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.997	0.003	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.997	0.003	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.997	0.003	0.000
rs41289279 lBF = `7.10619` Chr`10` : `988,262`	0.000	0.003	0.997
rs3824660 lBF = `4.51652` Chr`10` : `8,104,722`	0.000	0.003	0.997
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.997	0.003	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.997	0.003	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.997	0.003	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.997	0.003	0.000
rs35242582 lBF = `194.11` Chr`6` : `32,600,057`	0.000	0.003	0.997
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.997	0.003	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.997	0.003	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.997	0.003	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.997	0.003	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.997	0.003	0.000
rs114049903 lBF = `17.8634` Chr`2` : `8,107,832`	0.997	0.003	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.997	0.003	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.997	0.003	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.997	0.003	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.997	0.003	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.997	0.003	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.997	0.003	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.997	0.003	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.997	0.003	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.997	0.003	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.997	0.003	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.997	0.003	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.997	0.003	0.000
rs2699783 lBF = `3.41675` Chr`2` : `66,258,701`	0.000	0.003	0.997
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.997	0.003	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.997	0.003	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.997	0.003	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.997	0.003	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.997	0.003	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.997	0.003	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.997	0.003	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.997	0.003	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.997	0.003	0.000
rs74765593 lBF = `18.3408` Chr`3` : `182,339,787`	0.997	0.003	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.997	0.003	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.997	0.003	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.996	0.004	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.996	0.004	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.996	0.004	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.996	0.004	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.996	0.004	0.000
rs3827760 lBF = `5.71339` Chr`2` : `109,513,601`	0.996	0.004	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.996	0.004	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.996	0.004	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.996	0.004	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.996	0.004	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.996	0.004	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.996	0.004	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.996	0.004	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.996	0.004	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.996	0.004	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.996	0.004	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.996	0.004	0.000
rs78954774 lBF = `12.0049` Chr`14` : `104,437,884`	0.996	0.004	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.996	0.004	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.996	0.004	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 X0097

log Bayes Factor = 96.1227

contains 10 variants

1.0000

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

1.0000

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.8644

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1387

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

1.0000

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

1.0000

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

1.0000

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

1.0000

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

1.0000

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

1.0000

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

1.0000

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

1.0000

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

1.0000

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

1.0000

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

1.0000

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

1.0000

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

1.0000

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

1.0000

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

1.0000

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

1.0000

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

1.0000

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

1.0000

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

1.0000

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

1.0000

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

1.0000

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

1.0000

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

1.0000

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

1.0000

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

1.0000

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

1.0000

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

1.0000

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

1.0000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

1.0000

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

1.0000

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9999

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9999

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9999

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9997

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9997

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9996

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9995

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9995

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9993

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9991

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9981

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9981

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9976

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9963

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9959

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.9956

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9951

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9926

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9924

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9923

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9896

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9893

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9872

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9832

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9814

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9764

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9743

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9742

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9671

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9640

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.9504

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9499

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9456

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9453

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8774

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8180

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8155

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8085

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7782

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7586

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7193

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6546

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5884

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5825

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5811

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5559

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5503

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5035

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4959

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4932

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4869

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4808

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4747

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4561

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4520

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4513

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4369

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4271

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4221

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4213

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4141

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4102

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3852

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3642

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3511

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3386

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3369

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3240

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3191

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3012

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2993

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2925

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2735

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2335

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2319

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2315

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2049

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1939

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1760

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1607

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1577

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1576

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1570

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1565

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1497

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1452

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1346

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1266

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1247

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1167

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1127

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.1100

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1097

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1083

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1073

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1073

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1025

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0994

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0977

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0954

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0950

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0933

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0882

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0862

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0855

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0762

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0733

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0729

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0705

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0688

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0687

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0673

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0626

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0608

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0587

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0536

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0534

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0526

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0525

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0520

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0503

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0500

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	Chapter II Neoplasms
Nested terms	C76 Malignant neoplasm of other and ill-defined sites C77 Secondary and unspecified malignant neoplasm of lymph nodes C78 Secondary malignant neoplasm of respiratory and digestive organs C79 Secondary malignant neoplasm of other sites C80 Malignant neoplasm without specification of site

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`)