TreeWAS – [N73.4] Female chronic pelvic peritonitis

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
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.634	0.366	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.607	0.392	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.567	0.433	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.546	0.454	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.528	0.472	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.527	0.473	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.522	0.478	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.512	0.488	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.466	0.533	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.456	0.543	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.435	0.564	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.405	0.595	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.402	0.598	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.397	0.603	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.390	0.610	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.374	0.625	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.347	0.653	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.341	0.659	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.330	0.670	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.327	0.673	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.320	0.680	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.313	0.687	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.299	0.700	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.299	0.701	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.298	0.702	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.292	0.708	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.288	0.712	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.284	0.716	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.284	0.716	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.280	0.720	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.273	0.727	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.272	0.727	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.248	0.752	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.244	0.756	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.241	0.759	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.236	0.764	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.232	0.768	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.226	0.773	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.220	0.779	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.203	0.797	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.186	0.814	0.001
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.177	0.822	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.175	0.825	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.164	0.836	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.154	0.846	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.147	0.853	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.145	0.854	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.145	0.855	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.143	0.857	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.132	0.866	0.001
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.130	0.870	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.112	0.888	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.110	0.890	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.103	0.897	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.102	0.898	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.098	0.902	0.001
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.085	0.915	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.080	0.920	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.074	0.926	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.071	0.929	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.069	0.931	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.068	0.932	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.059	0.941	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.941	0.059
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.053	0.947	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.047	0.952	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.046	0.954	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.046	0.954	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.043	0.957	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.042	0.958	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.039	0.961	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.036	0.964	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.034	0.966	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.029	0.971	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.025	0.975	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.025	0.975	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.023	0.977	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.020	0.980	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.018	0.982	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.016	0.983	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.016	0.984	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.016	0.984	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.014	0.986	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.014	0.986	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.013	0.987	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.012	0.988	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.012	0.988	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.012	0.988	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.012	0.988	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.010	0.990	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.010	0.990	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.010	0.990	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.009	0.991	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.008	0.991	0.000
rs892055 lBF = `-0.0705862` Chr`19` : `38,912,764`	0.000	0.992	0.008
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.007	0.993	0.000
rs12327666 lBF = `0.0224187` Chr`19` : `14,139,921`	0.000	0.993	0.007
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.006	0.993	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.006	0.994	0.000
rs2280401 lBF = `0.0332437` Chr`19` : `50,000,009`	0.000	0.995	0.005
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.004	0.996	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.004	0.996	0.000
rs1654584 lBF = `-0.0255223` Chr`19` : `3,970,683`	0.000	0.996	0.004
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.004	0.996	0.000
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.003	0.996	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.003	0.997	0.001
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.003	0.997	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.003	0.997	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.003	0.997	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.003	0.997	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.003	0.997	0.000
rs4021 lBF = `5.55611` Chr`19` : `49,253,261`	0.000	0.997	0.002
rs17724992 lBF = `0.290288` Chr`19` : `18,454,825`	0.000	0.998	0.002
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.002	0.998	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.001	0.998	0.001
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.002	0.998	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.002	0.998	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.002	0.998	0.000
rs144790747 lBF = `0.0347014` Chr`19` : `14,487,347`	0.000	0.998	0.002
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs17356664 lBF = `0.684789` Chr`19` : `45,740,771`	0.001	0.999	0.000
rs1701930 lBF = `0.0818071` Chr`19` : `51,419,546`	0.000	0.999	0.001
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.001	0.999	0.000
rs7507400 lBF = `-0.0855476` Chr`19` : `41,330,179`	0.000	0.999	0.001
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	0.999	0.001
rs103294 lBF = `-0.00760096` Chr`19` : `54,797,848`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs3892630 lBF = `-0.0340664` Chr`19` : `33,181,484`	0.000	0.999	0.001
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.001	0.999	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.001	0.999	0.000
rs274173 lBF = `-0.0678634` Chr`19` : `56,692,443`	0.001	0.999	0.000
rs8113308 lBF = `0.00240832` Chr`19` : `52,445,386`	0.000	0.999	0.001
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.000	0.999	0.001
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.001	0.999	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.000	0.999	0.001
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	0.999	0.001
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.001	0.999	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.001	0.999	0.000
rs11672983 lBF = `0.619516` Chr`19` : `55,383,051`	0.000	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.001	0.999	0.000
rs12979813 lBF = `0.089449` Chr`19` : `11,342,703`	0.001	0.999	0.000
rs1298062 lBF = `0.0651724` Chr`19` : `51,004,754`	0.000	0.999	0.001
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.001	0.999	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.001	0.999	0.000
rs62110082 lBF = `0.123822` Chr`19` : `52,338,641`	0.000	0.999	0.001
rs386000 lBF = `-0.0508419` Chr`19` : `54,792,761`	0.000	0.999	0.001
rs17771967 lBF = `0.180669` Chr`19` : `55,380,214`	0.000	0.999	0.001
rs10401193 lBF = `4.24901` Chr`19` : `19,591,066`	0.001	0.999	0.000
rs7339483 lBF = `0.468308` Chr`19` : `24,462,409`	0.001	0.999	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.001	0.999	0.000
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs3787069 lBF = `-0.0164815` Chr`19` : `6,221,887`	0.000	0.999	0.001
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.001	0.999	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.001	0.999	0.000
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.001	0.999	0.000
rs34645805 lBF = `5.04291` Chr`19` : `11,247,522`	0.001	0.999	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.001	0.999	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	0.999	0.001
rs28602288 lBF = `0.468929` Chr`19` : `41,388,740`	0.001	0.999	0.000
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	0.999	0.001
rs34945782 lBF = `10.6689` Chr`19` : `57,678,336`	0.001	0.999	0.000
rs2287019 lBF = `1.69038` Chr`19` : `46,202,172`	0.000	0.999	0.001
rs7245708 lBF = `0.373925` Chr`19` : `46,195,756`	0.001	0.999	0.000
rs12162222 lBF = `6.89005` Chr`19` : `45,348,522`	0.001	0.999	0.000
rs8105265 lBF = `0.0722344` Chr`19` : `2,920,705`	0.000	0.999	0.001
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.001	0.999	0.000
rs11672517 lBF = `11.0443` Chr`19` : `57,678,194`	0.001	0.999	0.000
rs8100241 lBF = `0.0778512` Chr`19` : `17,392,894`	0.001	0.999	0.000
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.001	0.999	0.000
rs4805924 lBF = `-0.0160811` Chr`19` : `34,168,273`	0.000	0.999	0.001
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.001	0.999	0.000
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rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.000	1.000	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.000	1.000	0.000
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.000	1.000	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	1.000	0.000
rs73015720 lBF = `8.3101` Chr`19` : `17,860,775`	0.000	1.000	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs740495 lBF = `2.60832` Chr`19` : `1,124,835`	0.000	1.000	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.000	1.000	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.000	1.000	0.000
rs8111589 lBF = `0.0513279` Chr`19` : `46,034,558`	0.000	1.000	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.000	1.000	0.000
rs10409958 lBF = `0.020407` Chr`19` : `46,953,382`	0.000	1.000	0.000
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	1.000	0.000
rs11667918 lBF = `-0.000318` Chr`19` : `17,232,499`	0.000	1.000	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	1.000	0.000
rs7249094 lBF = `-0.00980267` Chr`19` : `8,672,000`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs1871045 lBF = `-0.012243` Chr`19` : `45,326,768`	0.000	1.000	0.000
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.000	1.000	0.000
rs183353539 lBF = `-0.0422568` Chr`19` : `6,992,244`	0.000	1.000	0.000
rs10411161 lBF = `-0.0549782` Chr`19` : `52,372,976`	0.000	1.000	0.000
rs1126510 lBF = `-0.0566693` Chr`19` : `47,123,783`	0.000	1.000	0.000
rs33439 lBF = `-0.0592957` Chr`19` : `30,945,171`	0.000	1.000	0.000
rs6510489 lBF = `-0.0629226` Chr`19` : `35,973,289`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs2279008 lBF = `-0.0806357` Chr`19` : `17,283,303`	0.000	1.000	0.000
rs57837628 lBF = `-0.0909624` Chr`19` : `41,357,910`	0.000	1.000	0.000
rs3875149 lBF = `-0.0933862` Chr`19` : `41,359,996`	0.000	1.000	0.000
rs12461383 lBF = `-0.0940209` Chr`19` : `41,370,338`	0.000	1.000	0.000
rs838133 lBF = `14.0415` Chr`19` : `49,259,529`	0.000	1.000	0.000
rs1058205 lBF = `13.3893` Chr`19` : `51,363,398`	0.000	1.000	0.000
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.000	1.000	0.000
rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.000	1.000	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.000	1.000	0.000
rs736289 lBF = `2.68174` Chr`19` : `33,757,062`	0.000	1.000	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	1.000	0.000
rs12019136 lBF = `1.10679` Chr`19` : `5,835,677`	0.000	1.000	0.000
rs6508941 lBF = `0.664334` Chr`19` : `41,015,965`	0.000	1.000	0.000
rs115436704 lBF = `0.372697` Chr`19` : `17,307,813`	0.000	1.000	0.000
rs2116940 lBF = `0.15479` Chr`19` : `10,310,392`	0.000	1.000	0.000
rs4808260 lBF = `0.0927022` Chr`19` : `20,846,271`	0.000	1.000	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.000	1.000	0.000
rs2043599 lBF = `0.0545247` Chr`19` : `56,451,049`	0.000	1.000	0.000
rs74407240 lBF = `0.0434662` Chr`19` : `2,522,671`	0.000	1.000	0.000
rs56159542 lBF = `0.0320746` Chr`19` : `19,682,971`	0.000	1.000	0.000
rs3760982 lBF = `0.0244749` Chr`19` : `44,286,513`	0.000	1.000	0.000
rs3745571 lBF = `0.016699` Chr`19` : `6,475,613`	0.000	1.000	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.000	1.000	0.000
rs8109848 lBF = `-0.0245277` Chr`19` : `41,522,069`	0.000	1.000	0.000
rs11083846 lBF = `-0.0278177` Chr`19` : `47,207,654`	0.000	1.000	0.000
rs11878732 lBF = `-0.0329447` Chr`19` : `31,828,848`	0.000	1.000	0.000
rs11669592 lBF = `-0.0375247` Chr`19` : `3,318,510`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs10406174 lBF = `-0.0446399` Chr`19` : `3,944,240`	0.000	1.000	0.000
rs472265 lBF = `-0.0483425` Chr`19` : `39,580,737`	0.000	1.000	0.000
rs788338 lBF = `-0.0996841` Chr`19` : `50,778,543`	0.000	1.000	0.000
rs2074977 lBF = `-0.10901` Chr`19` : `3,434,028`	0.000	1.000	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.000	1.000	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.000	1.000	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.000	1.000	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.000	1.000	0.000
rs439401 lBF = `14.9023` Chr`19` : `45,414,451`	0.000	1.000	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.000	1.000	0.000
rs7253117 lBF = `8.58485` Chr`19` : `17,844,894`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs62131887 lBF = `2.68819` Chr`19` : `10,587,596`	0.000	1.000	0.000
rs266849 lBF = `2.0123` Chr`19` : `51,349,090`	0.000	1.000	0.000
rs2738459 lBF = `1.19855` Chr`19` : `11,238,473`	0.000	1.000	0.000
rs2303759 lBF = `0.409506` Chr`19` : `49,869,051`	0.000	1.000	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.000	1.000	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	1.000	0.000
rs11672691 lBF = `0.195642` Chr`19` : `41,985,587`	0.000	1.000	0.000
rs12710258 lBF = `0.194057` Chr`19` : `10,990,329`	0.000	1.000	0.000
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs3752246 lBF = `0.127829` Chr`19` : `1,056,492`	0.000	1.000	0.000
rs4147929 lBF = `0.111207` Chr`19` : `1,063,443`	0.000	1.000	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs73058052 lBF = `0.0309746` Chr`19` : `50,099,422`	0.000	1.000	0.000
rs7246657 lBF = `0.0297095` Chr`19` : `37,747,108`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	1.000	0.000
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.000	1.000	0.000
rs7260598 lBF = `0.00277552` Chr`19` : `24,222,786`	0.000	1.000	0.000
rs2306969 lBF = `-0.00598812` Chr`19` : `5,851,801`	0.000	1.000	0.000
rs757318 lBF = `-0.0112631` Chr`19` : `18,820,308`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs3826795 lBF = `-0.0156973` Chr`19` : `46,800,433`	0.000	1.000	0.000
rs12460584 lBF = `-0.0326852` Chr`19` : `51,186,081`	0.000	1.000	0.000
rs8105815 lBF = `-0.0363676` Chr`19` : `41,673,848`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1777

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1139

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0817

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7168

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7168

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7165

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7159

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7137

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7104

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7016

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.6984

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6951

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6882

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6839

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6751

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6662

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6593

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6549

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6456

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6429

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6415

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6385

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6384

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6314

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6292

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6204

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6105

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6087

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6076

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6052

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5858

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5847

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5765

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5723

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5697

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5559

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5533

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5404

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5369

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5350

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4661

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4650

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4641

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4592

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4471

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4428

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4408

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4327

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4143

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4078

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4065

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4026

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3995

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3978

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3941

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3881

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3837

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3786

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3786

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3675

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3647

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3644

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3597

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3515

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3501

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3490

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3286

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3165

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3126

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3102

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3090

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2992

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2983

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.2981

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2914

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2890

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2817

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2811

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2756

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2640

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2527

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2435

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2383

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2244

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2219

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2195

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2063

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2024

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2016

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2008

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1892

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1875

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1869

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1861

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1851

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1808

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1806

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1799

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1769

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1761

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1748

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1714

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1601

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1581

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1513

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1510

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1503

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1503

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1491

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1464

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1445

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1419

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1412

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1393

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1388

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1374

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1347

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1303

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1266

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1264

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1254

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1254

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1201

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1187

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1184

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1179

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1167

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1131

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1086

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0798

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0724

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0685

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0610

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0576

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`)