TreeWAS – [D05.1] Intraductal carcinoma <i>in situ</i>

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
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.814	0.186	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.751	0.249	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.748	0.252	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.733	0.267	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.731	0.269	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.686	0.314	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.669	0.331	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.647	0.353	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.631	0.369	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.630	0.370	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.602	0.398	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.577	0.423	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.569	0.431	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.565	0.435	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.523	0.477	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.521	0.479	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.506	0.494	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.469	0.531	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.463	0.537	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.459	0.541	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.430	0.570	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.426	0.573	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.423	0.577	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.418	0.582	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.414	0.586	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.380	0.620	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.372	0.628	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.371	0.629	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.370	0.630	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.369	0.631	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.363	0.637	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.343	0.657	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.337	0.663	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.324	0.676	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.322	0.678	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.293	0.707	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.292	0.708	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.277	0.722	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.273	0.727	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.266	0.734	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.258	0.742	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.256	0.744	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.254	0.745	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.254	0.745	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.254	0.746	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.247	0.753	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.234	0.766	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.224	0.775	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.224	0.776	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.222	0.778	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.221	0.779	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.220	0.780	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.205	0.795	0.001
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.204	0.795	0.001
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.202	0.798	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.194	0.805	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.194	0.806	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.193	0.806	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.192	0.807	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.192	0.808	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.186	0.814	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.184	0.815	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.183	0.817	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.180	0.820	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.179	0.821	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.179	0.821	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.171	0.828	0.001
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.169	0.831	0.001
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.163	0.836	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.153	0.846	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.153	0.847	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	0.848	0.152
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.146	0.853	0.001
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.146	0.853	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.145	0.855	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.143	0.857	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.141	0.859	0.001
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.140	0.859	0.001
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.140	0.860	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.140	0.860	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.139	0.861	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.139	0.861	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.139	0.861	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.138	0.861	0.001
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.136	0.863	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.123	0.877	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.123	0.877	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.118	0.881	0.001
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.113	0.887	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.107	0.893	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.100	0.900	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.097	0.903	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.095	0.904	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.093	0.906	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.093	0.906	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.090	0.910	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.089	0.911	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.087	0.911	0.002
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.087	0.913	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.085	0.914	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.085	0.914	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.084	0.915	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.084	0.916	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.079	0.920	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.073	0.923	0.004
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.073	0.927	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.071	0.929	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.068	0.931	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.068	0.932	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.052	0.945	0.003
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.051	0.949	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.050	0.950	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.049	0.950	0.001
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.048	0.951	0.001
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.048	0.951	0.001
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.048	0.952	0.001
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.046	0.954	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.039	0.961	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	0.964	0.036
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.032	0.967	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.030	0.970	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.027	0.973	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.025	0.975	0.001
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.025	0.975	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.025	0.975	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.023	0.977	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.021	0.978	0.001
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.020	0.979	0.001
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.021	0.979	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.020	0.980	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.018	0.982	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.017	0.983	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.015	0.983	0.002
rs7174156 lBF = `-0.0322566` Chr`15` : `96,959,855`	0.017	0.983	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.015	0.984	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.015	0.985	0.000
rs11072566 lBF = `-0.0530728` Chr`15` : `76,293,971`	0.000	0.986	0.014
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.014	0.986	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.014	0.986	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.013	0.987	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.012	0.988	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.012	0.988	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.000	0.988	0.012
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.011	0.989	0.000
rs4886755 lBF = `-0.067757` Chr`15` : `76,298,132`	0.000	0.989	0.011
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.010	0.990	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.010	0.990	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	0.991	0.009
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.008	0.991	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.008	0.992	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.008	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.994	0.006
rs9972327 lBF = `-0.0668034` Chr`15` : `90,630,892`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.006	0.994	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.005	0.994	0.001
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.006	0.994	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.006	0.994	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.005	0.995	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.005	0.995	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.000	0.996	0.004
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	0.996	0.004
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.000	0.996	0.004
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.004	0.996	0.000
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	0.996	0.004
rs4965272 lBF = `0.0640466` Chr`15` : `100,584,739`	0.003	0.997	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.003	0.997	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.002	0.997	0.001
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.003	0.997	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.002
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.002	0.997	0.001
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	0.998	0.002
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.002	0.998	0.001
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	0.998	0.002
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.001	0.998	0.001
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.002	0.998	0.000
rs8023822 lBF = `7.96514` Chr`15` : `78,945,040`	0.002	0.998	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	0.998	0.002
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.002	0.998	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.002	0.998	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.001	0.998	0.001
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.002	0.998	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.001	0.998	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.998	0.002
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.001	0.999	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.000	0.999	0.001
rs1559777 lBF = `-0.0734956` Chr`15` : `58,080,617`	0.001	0.999	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.001	0.999	0.000
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rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	1.000	0.000
rs80162468 lBF = `13.7456` Chr`15` : `79,026,316`	0.000	1.000	0.000
rs4886585 lBF = `13.7456` Chr`15` : `79,026,315`	0.000	1.000	0.000
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	1.000	0.000
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.000	1.000	0.000
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	0.000	1.000	0.000
rs2869554 lBF = `13.2393` Chr`15` : `79,021,037`	0.000	1.000	0.000
rs34563625 lBF = `13.2278` Chr`15` : `79,020,278`	0.000	1.000	0.000
rs3829786 lBF = `13.2228` Chr`15` : `79,019,546`	0.000	1.000	0.000
rs1825083 lBF = `13.1604` Chr`15` : `79,023,467`	0.000	1.000	0.000
rs34225855 lBF = `13.1227` Chr`15` : `79,022,136`	0.000	1.000	0.000
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	1.000	0.000
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	1.000	0.000
rs11639382 lBF = `12.7981` Chr`15` : `79,024,268`	0.000	1.000	0.000
rs11639375 lBF = `12.7979` Chr`15` : `79,024,214`	0.000	1.000	0.000
rs11639347 lBF = `12.7116` Chr`15` : `79,024,350`	0.000	1.000	0.000
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs4775041 lBF = `0.0145541` Chr`15` : `58,674,695`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	1.000	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.000	1.000	0.000
rs3813565 lBF = `13.1694` Chr`15` : `79,019,610`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs4589502 lBF = `-0.0250825` Chr`15` : `67,155,069`	0.000	1.000	0.000
rs2929155 lBF = `22.93` Chr`15` : `79,058,013`	0.000	1.000	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	1.000	0.000
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	1.000	0.000
rs11072792 lBF = `13.1592` Chr`15` : `78,999,911`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	1.000	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.000	1.000	0.000
rs11072158 lBF = `-0.0701589` Chr`15` : `70,634,709`	0.000	1.000	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.000	1.000	0.000
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.000	1.000	0.000
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	1.000	0.000
rs12899449 lBF = `-0.0568353` Chr`15` : `38,995,491`	0.000	1.000	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	1.000	0.000
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.000	1.000	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	1.000	0.000
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.000	1.000	0.000
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.000	1.000	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	1.000	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	1.000	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	1.000	0.000
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	1.000	0.000
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs1719271 lBF = `-0.00097881` Chr`15` : `65,183,801`	0.000	1.000	0.000
rs261291 lBF = `-0.0695615` Chr`15` : `58,680,178`	0.000	1.000	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	0.000	1.000	0.000
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.000	1.000	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	1.000	0.000
rs4887086 lBF = `12.9948` Chr`15` : `79,026,529`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	1.000	0.000
rs4778879 lBF = `-0.0858533` Chr`15` : `79,372,875`	0.000	1.000	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.000	1.000	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.000	1.000	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	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 X0173

log Bayes Factor = 654.164

contains 9 variants

1.0000

Cluster X0241

log Bayes Factor = 99.1616

contains 6 variants

0.6740

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.6177

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0712

Cluster X0105

log Bayes Factor = 23.0031

contains 2 variants

0.0656

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0291

log Bayes Factor = 303.055

contains 4 variants

1.0000

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9843

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.9219

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9066

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8878

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8652

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7923

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7376

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7244

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7151

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6800

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5716

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5561

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5423

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5292

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5038

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4971

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.3876

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3757

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3749

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3462

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3389

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3337

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3299

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3093

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3051

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2935

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2821

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2721

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2708

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2658

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2414

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2304

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2297

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2293

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2095

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2090

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1806

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1631

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1606

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1483

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1458

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1432

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1410

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1403

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1325

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1321

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1114

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0984

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0944

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0929

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0860

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0837

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0828

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0824

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0805

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0757

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0670

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0646

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0635

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0632

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0575

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0543

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0541

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`)