TreeWAS – [J33.8] Other polyp of sinus

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
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.829	0.171	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.798	0.202	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.749	0.251	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.741	0.259	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.720	0.280	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.700	0.300	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.681	0.319	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.613	0.387	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.588	0.412	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.579	0.421	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.576	0.424	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.574	0.426	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.566	0.434	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.563	0.437	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.539	0.461	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.535	0.465	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.517	0.483	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.511	0.488	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.496	0.504	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.494	0.506	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.456	0.544	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.440	0.560	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.437	0.563	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.427	0.573	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.411	0.589	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.410	0.590	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.395	0.605	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.339	0.661	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.325	0.674	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.313	0.687	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.312	0.688	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.301	0.699	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.292	0.707	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.288	0.712	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.283	0.716	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.277	0.723	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.274	0.726	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.266	0.733	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.258	0.742	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.248	0.752	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.244	0.756	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.242	0.758	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.239	0.760	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.222	0.778	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.221	0.779	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.195	0.804	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	0.805	0.195
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.188	0.812	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.183	0.816	0.001
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.179	0.821	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.172	0.828	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.172	0.828	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.148	0.851	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.145	0.854	0.001
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.144	0.856	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.140	0.860	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.138	0.861	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.138	0.862	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.138	0.862	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.138	0.862	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.137	0.863	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.136	0.863	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.135	0.865	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.134	0.866	0.001
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.134	0.866	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.121	0.879	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.116	0.884	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.113	0.886	0.001
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.114	0.886	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.112	0.888	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.108	0.892	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.102	0.897	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.096	0.903	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.093	0.907	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.092	0.907	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.090	0.910	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.085	0.915	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.084	0.916	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.083	0.917	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.083	0.917	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.081	0.919	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.080	0.920	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.076	0.924	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.074	0.926	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.073	0.927	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.069	0.930	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.067	0.933	0.000
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.066	0.934	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.065	0.935	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.064	0.936	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.064	0.936	0.000
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.063	0.937	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.061	0.939	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.060	0.940	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.058	0.942	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.058	0.942	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.057	0.943	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.056	0.944	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.054	0.946	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.054	0.946	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.053	0.947	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.052	0.948	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.049	0.951	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.049	0.951	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.048	0.951	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	0.952	0.048
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.048	0.952	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.046	0.954	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.045	0.955	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.044	0.956	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.042	0.957	0.001
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.042	0.958	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.039	0.961	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.037	0.962	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.037	0.963	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.036	0.964	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.035	0.964	0.001
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.035	0.965	0.000
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.035	0.965	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.033	0.967	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.032	0.968	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.032	0.968	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	0.969	0.031
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.030	0.970	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.029	0.970	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.029	0.971	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.029	0.971	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.029	0.971	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.027	0.973	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.026	0.973	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.026	0.974	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.025	0.975	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.025	0.975	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.022	0.978	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.022	0.978	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.022	0.978	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.022	0.978	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.021	0.979	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.020	0.980	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.020	0.980	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.020	0.980	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.020	0.980	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.019	0.981	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.019	0.981	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.018	0.982	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.018	0.982	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.018	0.982	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.017	0.983	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.016	0.984	0.000
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.015	0.985	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.013	0.986	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.013	0.987	0.000
rs8042849 lBF = `34.3643` Chr`15` : `78,817,929`	0.000	0.987	0.013
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.013	0.987	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.012	0.988	0.000
rs1670273 lBF = `-0.0210827` Chr`15` : `99,616,720`	0.000	0.989	0.011
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.010	0.990	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.010	0.990	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.010	0.990	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.009
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.991	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.006	0.991	0.003
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.009	0.991	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.009	0.991	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.009	0.991	0.000
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	0.009	0.991	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.008	0.992	0.000
rs11073328 lBF = `-0.0231755` Chr`15` : `38,764,843`	0.008	0.992	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.008	0.992	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.007	0.992	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.007	0.993	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.007	0.993	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.006	0.993	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.005	0.994	0.001
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.006	0.994	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.006	0.994	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.006	0.994	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	0.994	0.006
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.005	0.994	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.000	0.995	0.005
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.005	0.995	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	0.995	0.005
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.005	0.995	0.000
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.005	0.995	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.005	0.995	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs711355 lBF = `-0.0844351` Chr`15` : `30,193,468`	0.004	0.996	0.000
rs1532085 lBF = `-0.10098` Chr`15` : `58,683,366`	0.000	0.996	0.004
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.004	0.996	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.004	0.996	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.000	0.996	0.004
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.004	0.996	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	0.996	0.004
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.004	0.996	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.004	0.996	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	0.004	0.996	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	0.996	0.004
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rs340025 lBF = `-0.0900066` Chr`15` : `60,908,307`	0.000	0.999	0.001
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.001	0.999	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	0.999	0.001
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	0.999	0.001
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.001	0.999	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	0.999	0.001
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	0.999	0.001
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	0.999	0.001
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	0.999	0.001
rs3736485 lBF = `-0.10337` Chr`15` : `51,748,610`	0.001	0.999	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	0.999	0.001
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	0.999	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.000	0.999	0.001
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	0.999	0.001
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	0.999	0.001
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	0.999	0.001
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.001	0.999	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.001	0.999	0.000
rs7170068 lBF = `18.9141` Chr`15` : `78,912,943`	0.000	0.999	0.001
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.000	0.999	0.001
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	0.999	0.001
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.000	0.999	0.001
rs7164883 lBF = `0.0094419` Chr`15` : `73,652,174`	0.000	0.999	0.001
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	0.999	0.001
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.999	0.001
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	0.999	0.001
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.001	0.999	0.000
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.000	0.999	0.001
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.000	0.999	0.001
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.001	0.999	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	0.999	0.001
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.001	0.999	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.000	0.999	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.001	0.999	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	0.999	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.001	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	0.999	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.001	0.999	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.001	0.999	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	0.999	0.000
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.001	0.999	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	0.999	0.001
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	0.999	0.001
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	0.999	0.001
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.000	0.999	0.001
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.000	0.999	0.001
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	0.999	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.001	0.999	0.000
rs930847 lBF = `-0.035237` Chr`15` : `101,558,562`	0.001	0.999	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	0.999	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	0.999	0.001
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.999	0.001
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	0.999	0.001
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.001
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	0.999	0.001
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.001	0.999	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.001	0.999	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	0.999	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	0.999	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.001	0.999	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	0.999	0.001
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	0.999	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	0.999	0.000
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.000	1.000	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.000	1.000	0.000
rs4924410 lBF = `0.0702866` Chr`15` : `40,339,494`	0.000	1.000	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs933769 lBF = `-0.0799509` Chr`15` : `96,052,742`	0.000	1.000	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	1.000	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.000	1.000	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	1.000	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.000	1.000	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	1.000	0.000
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs1378942 lBF = `4.54504` Chr`15` : `75,077,367`	0.000	1.000	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	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 X0216

log Bayes Factor = 162.135

contains 6 variants

1.0000

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

0.9901

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.9557

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0215

log Bayes Factor = 82.541

contains 5 variants

1.0000

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.9998

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9509

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.9382

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9284

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8959

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8591

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.8031

Cluster X0242

log Bayes Factor = 14.6693

contains 2 variants

0.7874

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7349

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6766

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6628

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6326

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6264

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6041

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5181

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4561

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4480

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4150

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4070

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4022

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3860

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3443

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3378

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3184

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3127

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2944

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2890

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2844

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2536

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2439

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2310

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2072

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2007

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1946

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1733

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1539

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1539

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1471

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1332

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1000

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0962

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0926

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0921

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0918

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0910

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0906

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0886

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0844

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0839

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0748

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0725

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0717

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0694

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0666

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0666

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0656

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0610

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0604

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0568

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0558

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0553

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0512

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`)