TreeWAS – [D21] Other benign neoplasms of connective and other soft tissue

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
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.780	0.220	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.776	0.224	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.753	0.247	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.748	0.252	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.724	0.276	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.721	0.279	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.691	0.309	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.659	0.341	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.658	0.342	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.653	0.347	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.641	0.358	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.588	0.412	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.582	0.417	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.579	0.421	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.575	0.425	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.559	0.441	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.556	0.444	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.539	0.460	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.528	0.472	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.492	0.508	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.447	0.553	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.000	0.594	0.406
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.387	0.613	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.327	0.673	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.326	0.673	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.326	0.674	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.315	0.685	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.295	0.705	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.294	0.706	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.290	0.710	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.290	0.710	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.243	0.757	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.236	0.764	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.221	0.779	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.216	0.784	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.204	0.796	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.198	0.802	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.163	0.837	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.159	0.841	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.150	0.849	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.126	0.874	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.124	0.876	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.118	0.882	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.116	0.884	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.093	0.907	0.000
rs11669133 lBF = `0.390843` Chr`19` : `11,092,139`	0.082	0.918	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.075	0.924	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.070	0.930	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.068	0.932	0.000
rs2232063 lBF = `0.54636` Chr`19` : `10,196,350`	0.061	0.939	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.061	0.939	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.053	0.947	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.050	0.950	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.047	0.953	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.044	0.956	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.041	0.959	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.033	0.967	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.031	0.969	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.027	0.973	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.023	0.977	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.022	0.978	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.019	0.980	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.019	0.981	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.019	0.981	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.017	0.982	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.016	0.984	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.015	0.985	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.013	0.987	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.012	0.987	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.012	0.988	0.000
rs9304742 lBF = `0.387686` Chr`19` : `53,451,291`	0.000	0.988	0.012
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.012	0.988	0.000
rs12459008 lBF = `0.118018` Chr`19` : `53,454,789`	0.000	0.989	0.011
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.011	0.989	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.009	0.991	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.007	0.993	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.006	0.994	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.005	0.995	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.005	0.995	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.005	0.995	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.004	0.996	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.004	0.996	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.004	0.996	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.003	0.997	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.003	0.997	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.003	0.997	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.003	0.997	0.000
rs2053079 lBF = `-0.0638174` Chr`19` : `30,987,423`	0.003	0.997	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.003	0.997	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.002	0.997	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.002	0.998	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.002	0.998	0.000
rs117492019 lBF = `0.0160085` Chr`19` : `58,681,861`	0.002	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.002	0.998	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.002	0.998	0.000
rs12983728 lBF = `0.0364937` Chr`19` : `58,671,267`	0.002	0.998	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.001	0.998	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.998	0.000
rs13181 lBF = `-0.0506137` Chr`19` : `45,854,919`	0.001	0.999	0.000
rs72480748 lBF = `0.426605` Chr`19` : `41,414,481`	0.000	0.999	0.001
rs299175 lBF = `-0.0556343` Chr`19` : `56,313,528`	0.001	0.999	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.001	0.999	0.000
rs4105144 lBF = `-0.0847799` Chr`19` : `41,358,624`	0.001	0.999	0.000
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.000	0.999	0.001
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
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
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs12975033 lBF = `7.07797` Chr`19` : `49,249,443`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.001	0.999	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.001	0.999	0.000
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.001	0.999	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.001	0.999	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	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
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
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs12972990 lBF = `-0.0273081` Chr`19` : `10,406,431`	0.000	0.999	0.001
rs8100480 lBF = `0.00273395` Chr`19` : `19,299,079`	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
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
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	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
rs3752246 lBF = `0.127829` Chr`19` : `1,056,492`	0.001	0.999	0.000
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs4147929 lBF = `0.111207` Chr`19` : `1,063,443`	0.001	0.999	0.000
rs140878064 lBF = `0.0241025` Chr`19` : `41,321,954`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.000	0.999	0.000
rs12608932 lBF = `-0.0498233` Chr`19` : `17,752,689`	0.000	0.999	0.001
rs10414149 lBF = `-0.0903832` Chr`19` : `52,127,744`	0.000	0.999	0.001
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	0.999	0.001
rs117821847 lBF = `0.0239638` Chr`19` : `41,310,888`	0.001	0.999	0.000
rs144553930 lBF = `0.0238036` Chr`19` : `41,313,261`	0.001	0.999	0.000
rs117139969 lBF = `0.02267` Chr`19` : `41,311,922`	0.001	0.999	0.000
rs4803370 lBF = `0.0241074` Chr`19` : `41,317,934`	0.001	0.999	0.000
rs117391664 lBF = `0.0240452` Chr`19` : `41,309,150`	0.001	0.999	0.000
rs149812270 lBF = `0.0236401` Chr`19` : `41,315,326`	0.001	0.999	0.000
rs1078373 lBF = `-0.0908628` Chr`19` : `31,801,130`	0.001	0.999	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.000	0.999	0.001
rs11083846 lBF = `-0.0278177` Chr`19` : `47,207,654`	0.000	0.999	0.001
rs281437 lBF = `-0.1042` Chr`19` : `10,397,238`	0.001	0.999	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.001	0.999	0.000
rs3803915 lBF = `-0.00117709` Chr`19` : `2,160,529`	0.001	0.999	0.000
rs2307019 lBF = `6.5201` Chr`19` : `49,244,220`	0.001	0.999	0.000
rs147893869 lBF = `0.019787` Chr`19` : `41,321,074`	0.001	0.999	0.000
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs3826795 lBF = `-0.0156973` Chr`19` : `46,800,433`	0.001	0.999	0.000
rs1551570 lBF = `-0.0615668` Chr`19` : `10,218,030`	0.001	0.999	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.001	0.999	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.001	0.999	0.000
rs5498 lBF = `-0.00771433` Chr`19` : `10,395,683`	0.000	0.999	0.001
rs17879437 lBF = `-0.0635192` Chr`19` : `36,642,884`	0.000	0.999	0.001
rs7247903 lBF = `-0.036218` Chr`19` : `41,372,475`	0.001	0.999	0.000
rs3786800 lBF = `-0.0668199` Chr`19` : `30,990,700`	0.001	0.999	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.001	0.999	0.000
rs117851058 lBF = `0.0211329` Chr`19` : `41,309,590`	0.001	0.999	0.000
rs3093030 lBF = `-0.0234245` Chr`19` : `10,397,403`	0.000	0.999	0.001
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.001	0.999	0.000
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.001	0.999	0.000
rs8102683 lBF = `-0.0219706` Chr`19` : `41,363,765`	0.001	0.999	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.001	0.999	0.000
rs12710258 lBF = `0.194057` Chr`19` : `10,990,329`	0.000	0.999	0.001
rs2014572 lBF = `-0.0262769` Chr`19` : `57,760,018`	0.001	0.999	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.000	0.999	0.000
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.001	0.999	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.001	0.999	0.000
rs4805834 lBF = `-0.00252529` Chr`19` : `33,453,659`	0.001	0.999	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.000	0.999	0.000
rs7254232 lBF = `-0.11344` Chr`19` : `47,796,800`	0.001	0.999	0.000
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.001	0.999	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.001	0.999	0.000
rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.001	0.999	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.001	0.999	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.999	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.001	0.999	0.000
rs274173 lBF = `-0.0678634` Chr`19` : `56,692,443`	0.001	0.999	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.000	0.999	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.000	0.999	0.000
rs11667918 lBF = `-0.000318` Chr`19` : `17,232,499`	0.000	0.999	0.001
rs11673344 lBF = `0.979588` Chr`19` : `37,684,966`	0.001	0.999	0.000
rs12608544 lBF = `0.00987206` Chr`19` : `49,136,651`	0.000	0.999	0.000
rs8102900 lBF = `-0.0845013` Chr`19` : `41,366,928`	0.001	0.999	0.000
rs995834 lBF = `-0.0854908` Chr`19` : `28,866,596`	0.001	0.999	0.000
rs7253363 lBF = `-0.00743829` Chr`19` : `11,682,495`	0.000	0.999	0.001
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rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	1.000	0.000
rs76478271 lBF = `-0.00813885` Chr`19` : `41,325,199`	0.000	1.000	0.000
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs2288912 lBF = `-0.0276798` Chr`19` : `45,449,199`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs12973620 lBF = `-0.051927` Chr`19` : `58,249,643`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	1.000	0.000
rs2664156 lBF = `-0.0826303` Chr`19` : `51,377,163`	0.000	1.000	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.000	1.000	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.000	1.000	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.000	1.000	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.000	1.000	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	1.000	0.000
rs2905424 lBF = `1.1326` Chr`19` : `19,473,445`	0.000	1.000	0.000
rs10425738 lBF = `0.900321` Chr`19` : `41,417,727`	0.000	1.000	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	1.000	0.000
rs8102380 lBF = `0.250001` Chr`19` : `10,801,185`	0.000	1.000	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.000	1.000	0.000
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs1800469 lBF = `0.0206843` Chr`19` : `41,860,296`	0.000	1.000	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	1.000	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	1.000	0.000
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs183353539 lBF = `-0.0422568` Chr`19` : `6,992,244`	0.000	1.000	0.000
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.000	1.000	0.000
rs472265 lBF = `-0.0483425` Chr`19` : `39,580,737`	0.000	1.000	0.000
rs29941 lBF = `-0.0501111` Chr`19` : `34,309,532`	0.000	1.000	0.000
rs2163813 lBF = `-0.0532197` Chr`19` : `19,829,101`	0.000	1.000	0.000
rs759819 lBF = `-0.0534983` Chr`19` : `54,815,577`	0.000	1.000	0.000
rs1363326 lBF = `-0.0828841` Chr`19` : `29,325,650`	0.000	1.000	0.000
rs2115386 lBF = `-0.0851218` Chr`19` : `7,196,565`	0.000	1.000	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.000	1.000	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.000	1.000	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.000	1.000	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.000	1.000	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	1.000	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.000	1.000	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.000	1.000	0.000
rs4805885 lBF = `1.52436` Chr`19` : `33,906,123`	0.000	1.000	0.000
rs11879191 lBF = `0.330898` Chr`19` : `10,512,911`	0.000	1.000	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	1.000	0.000
rs7258177 lBF = `0.0641128` Chr`19` : `13,803,170`	0.000	1.000	0.000
rs7249142 lBF = `0.0442277` Chr`19` : `19,276,359`	0.000	1.000	0.000
rs16968074 lBF = `0.00313671` Chr`19` : `33,884,341`	0.000	1.000	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	1.000	0.000
rs9304861 lBF = `-0.0337126` Chr`19` : `35,271,888`	0.000	1.000	0.000
rs11666341 lBF = `-0.038444` Chr`19` : `52,601,399`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.000	1.000	0.000
rs10411428 lBF = `-0.0487839` Chr`19` : `52,607,765`	0.000	1.000	0.000
rs450937 lBF = `-0.0496953` Chr`19` : `54,781,541`	0.000	1.000	0.000
rs519113 lBF = `-0.0527793` Chr`19` : `45,376,284`	0.000	1.000	0.000
rs12978500 lBF = `-0.0729363` Chr`19` : `406,934`	0.000	1.000	0.000
rs113029345 lBF = `-0.0875516` Chr`19` : `41,370,176`	0.000	1.000	0.000
rs2100944 lBF = `-0.101007` Chr`19` : `8,281,635`	0.000	1.000	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.000	1.000	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.000	1.000	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.000	1.000	0.000
rs405509 lBF = `9.43097` Chr`19` : `45,408,836`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
rs281377 lBF = `7.9369` Chr`19` : `49,206,603`	0.000	1.000	0.000
rs13345456 lBF = `5.05336` Chr`19` : `41,806,918`	0.000	1.000	0.000
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.000	1.000	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	1.000	0.000
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	1.000	0.000
rs2967605 lBF = `0.661749` Chr`19` : `8,469,738`	0.000	1.000	0.000
rs35164067 lBF = `0.27608` Chr`19` : `10,525,181`	0.000	1.000	0.000
rs17695224 lBF = `0.258766` Chr`19` : `52,324,216`	0.000	1.000	0.000
rs8101143 lBF = `0.250278` Chr`19` : `21,956,136`	0.000	1.000	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.000	1.000	0.000
rs8105429 lBF = `0.113411` Chr`19` : `18,481,333`	0.000	1.000	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.000	1.000	0.000
rs16979306 lBF = `0.0734202` Chr`19` : `13,802,760`	0.000	1.000	0.000
rs16964543 lBF = `0.0583383` Chr`19` : `31,185,210`	0.000	1.000	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs16984547 lBF = `0.0285196` Chr`19` : `53,682,042`	0.000	1.000	0.000
rs12460587 lBF = `0.0144181` Chr`19` : `52,586,919`	0.000	1.000	0.000
rs8113308 lBF = `0.00240832` Chr`19` : `52,445,386`	0.000	1.000	0.000
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	1.000	0.000
rs1860661 lBF = `-0.0163525` Chr`19` : `1,650,134`	0.000	1.000	0.000
rs187568415 lBF = `-0.018983` Chr`19` : `11,734,626`	0.000	1.000	0.000
rs1133146 lBF = `-0.0203314` Chr`19` : `53,666,660`	0.000	1.000	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	1.000	0.000
rs10421328 lBF = `-0.0331018` Chr`19` : `19,776,814`	0.000	1.000	0.000
rs12462428 lBF = `-0.0332477` Chr`19` : `16,694,610`	0.000	1.000	0.000
rs2108622 lBF = `-0.0334891` Chr`19` : `15,990,431`	0.000	1.000	0.000
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.000	1.000	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.000	1.000	0.000
rs10411161 lBF = `-0.0549782` Chr`19` : `52,372,976`	0.000	1.000	0.000
rs451000 lBF = `-0.0571852` Chr`19` : `54,781,554`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.8825

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1736

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9991

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9987

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9971

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9968

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9966

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9940

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9931

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9897

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9853

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9842

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9837

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9834

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9815

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9759

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9747

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9740

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9736

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9717

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9713

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9642

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9639

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9637

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9614

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9546

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9515

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9406

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9354

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9352

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9285

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9284

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9266

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9155

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9153

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9120

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9117

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9116

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9113

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9061

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.9022

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8981

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8973

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8970

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8954

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8911

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8854

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8837

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8835

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8807

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8782

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8757

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8746

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8727

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8724

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8654

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8331

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8324

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8303

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8245

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8198

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8132

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8095

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7998

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7921

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7885

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7846

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7804

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7709

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7688

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7687

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7661

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7652

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7620

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7592

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7545

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7532

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7503

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7418

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7397

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7387

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7386

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7301

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7272

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7190

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6988

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6944

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6939

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6891

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6441

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6401

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6334

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6100

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6035

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5999

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5717

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5637

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5605

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5582

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5470

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5424

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5217

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5210

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5169

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5033

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4987

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4972

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4917

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4840

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4812

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4799

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4568

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4414

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4347

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4324

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4031

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3922

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3878

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3825

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3746

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3735

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3646

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3597

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3587

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3577

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3466

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3400

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3190

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2950

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2571

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2501

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2287

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1965

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1835

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1718

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1714

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1668

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1489

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1377

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1297

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1111

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1093

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1051

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0872

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0782

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0771

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0765

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0715

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0690

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0676

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0663

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0542

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0531

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0519

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`)