TreeWAS – [S83.5] Sprain and strain involving (anterior)(posterior) cruciate ligament of knee

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`	0.735	0.265	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.679	0.321	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.671	0.329	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.595	0.405	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.547	0.452	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.533	0.467	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.517	0.482	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.515	0.485	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.509	0.490	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.498	0.502	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.486	0.513	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.483	0.517	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.481	0.519	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.477	0.523	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.461	0.538	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.458	0.541	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.457	0.543	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.441	0.559	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.440	0.560	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.432	0.568	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.423	0.577	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.416	0.583	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.408	0.592	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.405	0.595	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.401	0.599	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.401	0.599	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.391	0.609	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.390	0.610	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.383	0.617	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.382	0.617	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.379	0.620	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.378	0.622	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.378	0.622	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.372	0.628	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.365	0.635	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.363	0.637	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.359	0.641	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.358	0.641	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.355	0.644	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.354	0.646	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.347	0.653	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.346	0.654	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.342	0.658	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.342	0.658	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.342	0.658	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.338	0.662	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.332	0.667	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.332	0.667	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.331	0.669	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.330	0.670	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.325	0.674	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.323	0.677	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.314	0.686	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.311	0.689	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.307	0.692	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.299	0.701	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.299	0.701	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.293	0.707	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.287	0.712	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.286	0.714	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.285	0.715	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.277	0.723	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.276	0.724	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.271	0.728	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.271	0.729	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.258	0.742	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.249	0.750	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.248	0.752	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.235	0.765	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.220	0.779	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.219	0.781	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.205	0.795	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.205	0.795	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.199	0.800	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.192	0.808	0.000
rs7339483 lBF = `0.468308` Chr`19` : `24,462,409`	0.173	0.827	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.157	0.843	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.152	0.848	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.150	0.850	0.001
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.143	0.857	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.138	0.862	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.135	0.864	0.000
rs1801272 lBF = `0.25333` Chr`19` : `41,354,533`	0.134	0.866	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.131	0.868	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.115	0.884	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.112	0.888	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.110	0.890	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.107	0.891	0.002
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.108	0.892	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.107	0.893	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.104	0.896	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.102	0.897	0.001
rs3810291 lBF = `1.3375` Chr`19` : `47,569,003`	0.100	0.900	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.098	0.902	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.095	0.905	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.084	0.916	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.082	0.917	0.001
rs115436704 lBF = `0.372697` Chr`19` : `17,307,813`	0.082	0.917	0.001
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.075	0.925	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.075	0.925	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.074	0.926	0.001
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.070	0.930	0.000
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.068	0.932	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.066	0.934	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.063	0.936	0.001
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.049	0.951	0.001
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.047	0.952	0.001
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.047	0.952	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.045	0.954	0.001
rs73015720 lBF = `8.3101` Chr`19` : `17,860,775`	0.044	0.956	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.043	0.956	0.000
rs2292342 lBF = `0.042879` Chr`19` : `49,118,371`	0.040	0.959	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.035	0.965	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.033	0.967	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.033	0.967	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.033	0.967	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.032	0.968	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.031	0.969	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.022	0.978	0.001
rs57837628 lBF = `-0.0909624` Chr`19` : `41,357,910`	0.020	0.980	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.019	0.981	0.000
rs113690530 lBF = `0.00761288` Chr`19` : `33,087,867`	0.018	0.981	0.000
rs11880333 lBF = `0.0147017` Chr`19` : `49,144,790`	0.018	0.982	0.000
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.018	0.982	0.000
rs12461383 lBF = `-0.0940209` Chr`19` : `41,370,338`	0.018	0.982	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.017	0.983	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.017	0.983	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.015	0.985	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.014	0.986	0.000
rs78015699 lBF = `-0.00079808` Chr`19` : `18,487,667`	0.014	0.986	0.000
rs7245858 lBF = `0.0903378` Chr`19` : `51,430,596`	0.013	0.986	0.000
rs12608544 lBF = `0.00987206` Chr`19` : `49,136,651`	0.011	0.988	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.010	0.989	0.000
rs56113850 lBF = `0.341301` Chr`19` : `41,353,107`	0.009	0.991	0.000
rs4105144 lBF = `-0.0847799` Chr`19` : `41,358,624`	0.009	0.991	0.000
rs4142248 lBF = `0.0155676` Chr`19` : `44,888,276`	0.008	0.992	0.000
rs35755165 lBF = `0.0494139` Chr`19` : `41,345,989`	0.008	0.992	0.000
rs12461964 lBF = `0.033539` Chr`19` : `41,341,229`	0.008	0.992	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.007	0.992	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.007	0.993	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.007	0.993	0.000
rs79546472 lBF = `0.0357043` Chr`19` : `56,173,377`	0.007	0.993	0.000
rs3875149 lBF = `-0.0933862` Chr`19` : `41,359,996`	0.007	0.993	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.006	0.993	0.000
rs8102900 lBF = `-0.0845013` Chr`19` : `41,366,928`	0.007	0.993	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.006	0.994	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.005	0.994	0.000
rs8192733 lBF = `-0.0561514` Chr`19` : `41,349,550`	0.006	0.994	0.000
rs2316205 lBF = `0.109689` Chr`19` : `41,346,768`	0.005	0.995	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	0.995	0.005
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.005	0.995	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.005	0.995	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.005	0.995	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.005	0.995	0.000
rs60446182 lBF = `-0.00643853` Chr`19` : `41,347,998`	0.005	0.995	0.000
rs281380 lBF = `1.855` Chr`19` : `49,214,470`	0.004	0.995	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.004	0.996	0.000
rs8101881 lBF = `-0.08863` Chr`19` : `33,364,628`	0.000	0.996	0.004
rs113029345 lBF = `-0.0875516` Chr`19` : `41,370,176`	0.004	0.996	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.003	0.996	0.001
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.996	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	0.996	0.004
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.004	0.996	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.003	0.996	0.000
rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.004	0.996	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.003	0.996	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.003	0.997	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.003	0.997	0.000
rs12460876 lBF = `-0.0959623` Chr`19` : `33,356,891`	0.003	0.997	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.003	0.997	0.000
rs72974768 lBF = `0.467852` Chr`19` : `3,435,545`	0.003	0.997	0.000
rs12978500 lBF = `-0.0729363` Chr`19` : `406,934`	0.003	0.997	0.000
rs8102683 lBF = `-0.0219706` Chr`19` : `41,363,765`	0.003	0.997	0.000
rs889122 lBF = `-0.00912507` Chr`19` : `9,995,867`	0.003	0.997	0.000
rs3892630 lBF = `-0.0340664` Chr`19` : `33,181,484`	0.000	0.997	0.003
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.002	0.997	0.000
rs6510489 lBF = `-0.0629226` Chr`19` : `35,973,289`	0.002	0.998	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.002	0.998	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	0.002	0.998	0.000
rs12975033 lBF = `7.07797` Chr`19` : `49,249,443`	0.002	0.998	0.000
rs2307019 lBF = `6.5201` Chr`19` : `49,244,220`	0.002	0.998	0.000
rs731945 lBF = `-0.0499688` Chr`19` : `18,567,039`	0.002	0.998	0.000
rs10411619 lBF = `0.26895` Chr`19` : `12,752,425`	0.002	0.998	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.000	0.998	0.002
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.000	0.998	0.002
rs2546057 lBF = `-0.0933029` Chr`19` : `34,320,854`	0.000	0.998	0.002
rs7255045 lBF = `0.0363917` Chr`19` : `12,932,269`	0.000	0.998	0.002
rs11559024 lBF = `0.0102457` Chr`19` : `45,821,183`	0.002	0.998	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.002	0.998	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	0.998	0.002
rs72480748 lBF = `0.426605` Chr`19` : `41,414,481`	0.002	0.998	0.000
rs2287921 lBF = `22.4626` Chr`19` : `49,228,272`	0.002	0.998	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.001	0.998	0.000
rs746961 lBF = `-0.0666257` Chr`19` : `31,099,890`	0.000	0.998	0.002
rs1077667 lBF = `-0.0556839` Chr`19` : `6,668,972`	0.000	0.998	0.002
rs10405744 lBF = `0.0101824` Chr`19` : `20,059,493`	0.002	0.998	0.000
rs6511152 lBF = `-0.0818318` Chr`19` : `20,874,738`	0.000	0.998	0.002
rs2302063 lBF = `-0.0678337` Chr`19` : `3,150,418`	0.002	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs157580 lBF = `46.2551` Chr`19` : `45,395,266`	0.001	0.998	0.000
rs2074552 lBF = `0.396235` Chr`19` : `2,214,057`	0.000	0.999	0.001
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rs7259004 lBF = `0.00656928` Chr`19` : `45,432,557`	0.000	1.000	0.000
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	0.000	1.000	0.000
rs33436 lBF = `-0.014678` Chr`19` : `30,943,677`	0.000	1.000	0.000
rs17699030 lBF = `-0.025464` Chr`19` : `11,330,942`	0.000	1.000	0.000
rs7245959 lBF = `-0.0552497` Chr`19` : `31,379,109`	0.000	1.000	0.000
rs7250689 lBF = `14.0789` Chr`19` : `38,753,625`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs10401193 lBF = `4.24901` Chr`19` : `19,591,066`	0.000	1.000	0.000
rs4147929 lBF = `0.111207` Chr`19` : `1,063,443`	0.000	1.000	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	1.000	0.000
rs260461 lBF = `-0.0143722` Chr`19` : `58,770,883`	0.000	1.000	0.000
rs33439 lBF = `-0.0592957` Chr`19` : `30,945,171`	0.000	1.000	0.000
rs1172822 lBF = `-0.061255` Chr`19` : `55,819,845`	0.000	1.000	0.000
rs2735839 lBF = `18.4411` Chr`19` : `51,364,623`	0.000	1.000	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs433852 lBF = `0.473792` Chr`19` : `49,117,104`	0.000	1.000	0.000
rs2303759 lBF = `0.409506` Chr`19` : `49,869,051`	0.000	1.000	0.000
rs17695224 lBF = `0.258766` Chr`19` : `52,324,216`	0.000	1.000	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	1.000	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.000	1.000	0.000
rs7248888 lBF = `-0.0234267` Chr`19` : `46,974,003`	0.000	1.000	0.000
rs4805272 lBF = `-0.0359144` Chr`19` : `29,319,706`	0.000	1.000	0.000
rs29941 lBF = `-0.0501111` Chr`19` : `34,309,532`	0.000	1.000	0.000
rs1551570 lBF = `-0.0615668` Chr`19` : `10,218,030`	0.000	1.000	0.000
rs231227 lBF = `-0.100915` Chr`19` : `36,268,067`	0.000	1.000	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	1.000	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	1.000	0.000
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.000	1.000	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	1.000	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	1.000	0.000
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.000	1.000	0.000
rs12327666 lBF = `0.0224187` Chr`19` : `14,139,921`	0.000	1.000	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs11668344 lBF = `-0.0666664` Chr`19` : `55,833,664`	0.000	1.000	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	1.000	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	1.000	0.000
rs516246 lBF = `24.8269` Chr`19` : `49,206,172`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs688187 lBF = `0.187022` Chr`19` : `39,732,752`	0.000	1.000	0.000
rs62110082 lBF = `0.123822` Chr`19` : `52,338,641`	0.000	1.000	0.000
rs73058052 lBF = `0.0309746` Chr`19` : `50,099,422`	0.000	1.000	0.000
rs10404486 lBF = `-0.00249954` Chr`19` : `53,284,135`	0.000	1.000	0.000
rs8105815 lBF = `-0.0363676` Chr`19` : `41,673,848`	0.000	1.000	0.000
rs28493229 lBF = `-0.0547884` Chr`19` : `41,224,204`	0.000	1.000	0.000
rs12610250 lBF = `-0.0556392` Chr`19` : `8,277,713`	0.000	1.000	0.000
rs2053079 lBF = `-0.0638174` Chr`19` : `30,987,423`	0.000	1.000	0.000
rs875622 lBF = `-0.0775663` Chr`19` : `16,467,759`	0.000	1.000	0.000
rs995834 lBF = `-0.0854908` Chr`19` : `28,866,596`	0.000	1.000	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	1.000	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	1.000	0.000
rs34945782 lBF = `10.6689` Chr`19` : `57,678,336`	0.000	1.000	0.000
rs8101609 lBF = `7.44519` Chr`19` : `17,857,482`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs740495 lBF = `2.60832` Chr`19` : `1,124,835`	0.000	1.000	0.000
rs76935404 lBF = `0.66433` Chr`19` : `41,419,294`	0.000	1.000	0.000
rs7253363 lBF = `-0.00743829` Chr`19` : `11,682,495`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	1.000	0.000
rs9304861 lBF = `-0.0337126` Chr`19` : `35,271,888`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs472265 lBF = `-0.0483425` Chr`19` : `39,580,737`	0.000	1.000	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.000	1.000	0.000
rs12610495 lBF = `-0.0868982` Chr`19` : `4,717,672`	0.000	1.000	0.000
rs7258249 lBF = `-0.0892357` Chr`19` : `8,271,721`	0.000	1.000	0.000
rs11672517 lBF = `11.0443` Chr`19` : `57,678,194`	0.000	1.000	0.000
rs12052058 lBF = `10.6082` Chr`19` : `11,159,525`	0.000	1.000	0.000
rs2043305 lBF = `7.94393` Chr`19` : `10,728,320`	0.000	1.000	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.000	1.000	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.000	1.000	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.000	1.000	0.000
rs2241718 lBF = `5.00712` Chr`19` : `41,829,606`	0.000	1.000	0.000
rs2967605 lBF = `0.661749` Chr`19` : `8,469,738`	0.000	1.000	0.000
rs12979860 lBF = `0.426585` Chr`19` : `39,738,787`	0.000	1.000	0.000
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	1.000	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	1.000	0.000
rs166988 lBF = `-0.0323303` Chr`19` : `34,333,914`	0.000	1.000	0.000
rs10412972 lBF = `-0.0458903` Chr`19` : `52,154,905`	0.000	1.000	0.000
rs10404998 lBF = `-0.0733092` Chr`19` : `22,608,374`	0.000	1.000	0.000
rs270776 lBF = `-0.0753872` Chr`19` : `55,222,807`	0.000	1.000	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.000	1.000	0.000
rs492602 lBF = `25.3097` Chr`19` : `49,206,417`	0.000	1.000	0.000
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	1.000	0.000
rs1529729 lBF = `12.5024` Chr`19` : `11,163,562`	0.000	1.000	0.000
rs1122608 lBF = `10.0379` Chr`19` : `11,163,601`	0.000	1.000	0.000
rs2569559 lBF = `8.14733` Chr`19` : `11,214,533`	0.000	1.000	0.000
rs2024092 lBF = `2.7894` Chr`19` : `1,124,031`	0.000	1.000	0.000
rs62131887 lBF = `2.68819` Chr`19` : `10,587,596`	0.000	1.000	0.000
rs10416218 lBF = `2.47638` Chr`19` : `33,599,127`	0.000	1.000	0.000
rs12980275 lBF = `0.169983` Chr`19` : `39,731,783`	0.000	1.000	0.000
rs2974238 lBF = `0.0753486` Chr`19` : `48,117,061`	0.000	1.000	0.000
rs34232444 lBF = `-0.00847131` Chr`19` : `4,965,404`	0.000	1.000	0.000
rs3826795 lBF = `-0.0156973` Chr`19` : `46,800,433`	0.000	1.000	0.000
rs7255066 lBF = `-0.0503042` Chr`19` : `45,146,103`	0.000	1.000	0.000
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.000	1.000	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.000	1.000	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	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

0.4298

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0939

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9896

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9827

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9818

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9539

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9451

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9330

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9272

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9205

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9167

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9115

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9069

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8877

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8847

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8841

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8811

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8628

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8548

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8524

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8516

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8470

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8390

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8347

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8336

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8331

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8233

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8163

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8092

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8068

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7909

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7898

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7854

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7838

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7807

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7807

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7733

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7725

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7695

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7619

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7548

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7507

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7484

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7397

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7378

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7375

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7337

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7319

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7210

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7162

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7138

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7091

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7063

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7036

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6891

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6840

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6719

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6672

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6666

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6626

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6575

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6523

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6481

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6469

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6386

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6313

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6303

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6256

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6113

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6090

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6049

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5997

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5993

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5950

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5932

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5923

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5880

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5860

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5818

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5801

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5733

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5518

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5512

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5511

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5458

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5435

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5421

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5404

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5394

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5360

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5296

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5277

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5234

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5212

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5145

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5106

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5061

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4974

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4900

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4894

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4852

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4849

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4836

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4770

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4746

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4737

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4718

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4507

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4439

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4425

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4404

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4369

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4268

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4224

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4190

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4183

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4081

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4054

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4030

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3936

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3916

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3864

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3765

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3738

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3659

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3608

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3479

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3470

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3467

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3441

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3434

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3430

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3324

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3252

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3140

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3086

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3068

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3028

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3028

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2987

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2965

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2958

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2890

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2799

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2692

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2436

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2435

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2412

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2396

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2358

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2221

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2217

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2143

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2134

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2032

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2029

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1995

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1945

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1893

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1778

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1578

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1470

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1417

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1366

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1313

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1301

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1217

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1210

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1113

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1067

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0998

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0993

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0945

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0841

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0827

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0800

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0793

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0781

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0773

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0750

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0741

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0547

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`)