TreeWAS – [C83.3] Large cell (diffuse)

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
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.923	0.077	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.898	0.102	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.881	0.119	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.874	0.126	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.854	0.146	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.829	0.171	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.802	0.198	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.800	0.200	0.000
rs12441664 lBF = `1.2249` Chr`15` : `97,714,534`	0.761	0.239	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.745	0.255	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.711	0.289	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.707	0.293	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.679	0.321	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.651	0.349	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.634	0.366	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.634	0.366	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.614	0.386	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.591	0.409	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.589	0.410	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.588	0.411	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.583	0.417	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.578	0.422	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.562	0.438	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.540	0.460	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.515	0.485	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.515	0.485	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.509	0.491	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.496	0.504	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.495	0.505	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.486	0.513	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.478	0.522	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.475	0.525	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.473	0.527	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.461	0.539	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.461	0.539	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.460	0.540	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.454	0.546	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.448	0.552	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.444	0.556	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.416	0.584	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.416	0.584	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.409	0.591	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.401	0.598	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.394	0.605	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.381	0.619	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.370	0.630	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.369	0.631	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.367	0.633	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.366	0.633	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.364	0.636	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.344	0.656	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.342	0.657	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.341	0.658	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.315	0.685	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.308	0.692	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.306	0.693	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.306	0.694	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.303	0.696	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.301	0.699	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.297	0.702	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.287	0.712	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.286	0.714	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.275	0.725	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.272	0.727	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.269	0.731	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.266	0.734	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.266	0.734	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.263	0.737	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.262	0.738	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.261	0.738	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.260	0.740	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.258	0.742	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.252	0.748	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.244	0.755	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.241	0.758	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.241	0.759	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.239	0.760	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.236	0.763	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.227	0.773	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.210	0.789	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.203	0.796	0.001
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.195	0.805	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.193	0.806	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.191	0.809	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.183	0.816	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.179	0.821	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.174	0.826	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.171	0.829	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.154	0.846	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.152	0.848	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.151	0.848	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.151	0.849	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.151	0.849	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.149	0.851	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.147	0.853	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.146	0.854	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.137	0.863	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.135	0.865	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.122	0.878	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.107	0.893	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.104	0.896	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.104	0.896	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.098	0.900	0.002
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.092	0.907	0.001
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.090	0.910	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.089	0.911	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.086	0.914	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.084	0.916	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.081	0.919	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.080	0.920	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.075	0.924	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.075	0.925	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.068	0.931	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.067	0.933	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.066	0.934	0.000
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.000	0.940	0.060
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.060	0.940	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.052	0.948	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.050	0.949	0.001
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.049	0.950	0.001
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.046	0.953	0.000
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.046	0.954	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.044	0.956	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.039	0.959	0.002
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.039	0.961	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.035	0.964	0.000
rs11071657 lBF = `-0.0989686` Chr`15` : `62,433,962`	0.000	0.965	0.035
rs73419609 lBF = `0.154849` Chr`15` : `54,715,642`	0.035	0.965	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.030	0.967	0.003
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.033	0.967	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.033	0.967	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.032	0.967	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.032	0.968	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	0.968	0.032
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.030	0.970	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.027	0.973	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.025	0.974	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.025	0.975	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.023	0.977	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.022	0.978	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.021	0.979	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.019	0.981	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.018	0.982	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.016	0.984	0.001
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.015	0.985	0.000
rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	0.014	0.986	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.013	0.986	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.013	0.987	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.013	0.987	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.013	0.987	0.000
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.013	0.987	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.012	0.988	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.012	0.988	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.012	0.988	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.012	0.988	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.011	0.988	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.010	0.989	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.011	0.989	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.010	0.990	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	0.990	0.010
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.009	0.991	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.992	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.993	0.007
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.006	0.993	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.993	0.007
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.006	0.994	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.000	0.994	0.006
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.004	0.995	0.002
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.005	0.995	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.005	0.995	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.005	0.995	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.004	0.996	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.996	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.004	0.996	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.004	0.996	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.004	0.996	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.004	0.996	0.000
rs12148488 lBF = `-0.0718633` Chr`15` : `75,382,542`	0.000	0.996	0.004
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.004	0.996	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.004	0.996	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.004	0.996	0.000
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	0.996	0.004
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.004	0.996	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.004	0.996	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.004	0.996	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.003	0.997	0.000
rs67175876 lBF = `9.17872` Chr`15` : `78,928,399`	0.000	0.997	0.003
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.003	0.997	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.003	0.997	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.003	0.997	0.000
rs2444043 lBF = `0.0165355` Chr`15` : `55,534,342`	0.003	0.997	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.003	0.997	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	0.997	0.003
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.003	0.997	0.000
rs3813567 lBF = `9.05806` Chr`15` : `78,934,551`	0.000	0.997	0.003
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rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.001	0.999	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.001	0.999	0.000
rs7172432 lBF = `-0.115795` Chr`15` : `62,396,389`	0.000	0.999	0.001
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.001	0.999	0.000
rs11636768 lBF = `0.0784765` Chr`15` : `87,695,511`	0.001	0.999	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	0.999	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.001	0.999	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	0.999	0.001
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	0.999	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	0.999	0.001
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.001	0.999	0.000
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.001	0.999	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.001	0.999	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.001	0.999	0.000
rs1394125 lBF = `0.0167156` Chr`15` : `76,158,983`	0.000	0.999	0.001
rs1258767 lBF = `-0.0148593` Chr`15` : `33,126,454`	0.001	0.999	0.000
rs8041943 lBF = `-0.0444366` Chr`15` : `79,966,600`	0.000	0.999	0.001
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.001	0.999	0.000
rs62016943 lBF = `5.05023` Chr`15` : `50,722,160`	0.000	0.999	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	0.999	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	0.999	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.000	0.999	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.001	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	0.999	0.001
rs2567426 lBF = `0.13365` Chr`15` : `96,332,861`	0.000	0.999	0.001
rs765787 lBF = `-0.0573734` Chr`15` : `45,500,047`	0.000	0.999	0.001
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.000	0.999	0.001
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	0.999	0.001
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	0.999	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.001	0.999	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.001	0.999	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.001	0.999	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	0.999	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	0.999	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.000	0.999	0.001
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	0.999	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.999	0.001
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.001	0.999	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	0.999	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.000	0.999	0.001
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	0.999	0.001
rs11638490 lBF = `13.7239` Chr`15` : `79,007,950`	0.000	0.999	0.001
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	0.999	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	0.999	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	0.999	0.001
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.000	0.999	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.001	0.999	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.000	0.999	0.001
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	0.999	0.000
rs7176070 lBF = `16.0891` Chr`15` : `79,033,489`	0.000	0.999	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	0.999	0.000
rs2412475 lBF = `0.0764129` Chr`15` : `40,334,576`	0.000	0.999	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	0.999	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	0.999	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.999	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	1.000	0.000
rs899997 lBF = `18.2795` Chr`15` : `79,019,578`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	1.000	0.000
rs2656074 lBF = `7.37439` Chr`15` : `78,741,384`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	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
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	1.000	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.000	1.000	0.000
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	1.000	0.000
rs7182874 lBF = `0.0441147` Chr`15` : `101,865,472`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	1.000	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	1.000	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.000	1.000	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	1.000	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	1.000	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	1.000	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	1.000	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	1.000	0.000
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.000	1.000	0.000
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	1.000	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	1.000	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	1.000	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	1.000	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	1.000	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.1069

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9984

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9980

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9976

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9972

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9914

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9910

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9882

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9854

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9819

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9794

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9778

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9688

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9439

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9395

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9359

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9349

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9216

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9066

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9037

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8818

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8789

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8752

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8647

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8641

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8616

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8526

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8459

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8403

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8389

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8346

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8337

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8128

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8054

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7965

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7888

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7849

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7765

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7603

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7390

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7367

Cluster X0272

log Bayes Factor = 22.1927

contains 2 variants

0.7307

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7256

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7066

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6896

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6871

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6853

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6817

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6717

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6639

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6608

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6426

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6188

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6100

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6087

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6084

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.6063

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6013

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5961

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5680

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5585

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5519

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5300

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5157

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5151

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5050

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4947

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4873

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4819

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4807

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4793

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4718

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4569

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4520

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4449

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4318

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4274

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4213

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4134

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4041

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3972

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3966

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3794

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3730

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3662

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3649

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3554

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3358

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.3147

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2979

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2949

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2775

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2771

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2530

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2515

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2467

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2417

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2374

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2354

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2350

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2327

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2310

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2242

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2212

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2109

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2070

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2065

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2038

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2029

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2001

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1919

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1871

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1848

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1786

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1723

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1684

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1659

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1545

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.1481

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1293

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1274

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1266

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1183

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1178

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1158

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1145

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1135

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1095

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1076

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1053

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1019

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1014

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0922

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0921

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0884

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0817

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0791

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0790

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0787

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0664

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0620

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0576

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0553

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0552

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0547

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0502

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`)