TreeWAS – [A41.5] Septicaemia due to other Gram-negative organisms

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
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.884	0.116	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.870	0.130	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.828	0.172	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.814	0.186	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.800	0.200	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.772	0.228	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.720	0.280	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.714	0.286	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.687	0.313	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.670	0.330	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.655	0.344	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.654	0.346	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.645	0.355	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.635	0.365	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.631	0.369	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.628	0.372	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.608	0.392	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.593	0.407	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.590	0.410	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.588	0.412	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.587	0.413	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.575	0.425	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.568	0.432	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.567	0.433	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.565	0.435	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.560	0.440	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.537	0.463	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.533	0.467	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.512	0.487	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.504	0.496	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.504	0.496	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.501	0.498	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.497	0.502	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.495	0.505	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.475	0.525	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.469	0.531	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.451	0.549	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.449	0.551	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.446	0.553	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.446	0.554	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.418	0.582	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.416	0.584	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.414	0.586	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.399	0.601	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.399	0.601	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.382	0.618	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.382	0.618	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.381	0.618	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.372	0.628	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.368	0.632	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.346	0.653	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.344	0.656	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.344	0.656	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.343	0.657	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.342	0.658	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.342	0.658	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.339	0.660	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.327	0.673	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.322	0.677	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.316	0.684	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.315	0.685	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.305	0.695	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.304	0.695	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.301	0.699	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.300	0.699	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.299	0.701	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.291	0.709	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.290	0.710	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.284	0.716	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.283	0.716	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.280	0.720	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.279	0.721	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.278	0.722	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.275	0.724	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.275	0.725	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.273	0.727	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.272	0.728	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.271	0.729	0.000
rs17158807 lBF = `0.0627` Chr`15` : `84,249,460`	0.000	0.729	0.271
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.265	0.734	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.257	0.742	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.252	0.748	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.242	0.758	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.240	0.760	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.235	0.765	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.234	0.766	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.233	0.767	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.230	0.769	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.229	0.771	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.228	0.771	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.225	0.775	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.217	0.782	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.217	0.783	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.203	0.797	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.201	0.799	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.191	0.809	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.189	0.811	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.186	0.814	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.185	0.814	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.174	0.825	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.172	0.828	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.167	0.832	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.166	0.833	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.159	0.841	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.155	0.845	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.145	0.854	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.145	0.855	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.142	0.858	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.136	0.864	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.128	0.872	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.126	0.872	0.001
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.125	0.874	0.002
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.125	0.874	0.001
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.124	0.876	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.122	0.877	0.001
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.121	0.878	0.001
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.109	0.891	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.108	0.892	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.106	0.894	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.105	0.895	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.103	0.897	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.100	0.900	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.094	0.905	0.001
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.093	0.907	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.092	0.908	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.087	0.911	0.002
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.085	0.914	0.001
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.085	0.914	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.084	0.916	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.083	0.916	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.078	0.921	0.001
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.070	0.930	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.068	0.931	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.066	0.934	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.060	0.940	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.048	0.952	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.047	0.953	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.045	0.955	0.001
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.043	0.957	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.040	0.960	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.037	0.963	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.036	0.963	0.001
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.036	0.964	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.033	0.966	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.032	0.967	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.026	0.973	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.975	0.025
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.025	0.975	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.020	0.980	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.018	0.982	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.017	0.983	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.015	0.985	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.013	0.987	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.987	0.013
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.000	0.987	0.013
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.009	0.991	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.008	0.991	0.001
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.008	0.992	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.992	0.007
rs9806762 lBF = `-0.0430734` Chr`15` : `88,661,739`	0.000	0.993	0.007
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.007	0.993	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.007	0.993	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.007	0.993	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.006	0.994	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.006	0.994	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.005	0.995	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.004	0.995	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	0.996	0.004
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.996	0.004
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	0.996	0.004
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.003	0.996	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.004	0.996	0.000
rs937741 lBF = `-0.116277` Chr`15` : `23,647,411`	0.000	0.996	0.004
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.003	0.997	0.001
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	0.997	0.003
rs578776 lBF = `12.2576` Chr`15` : `78,888,400`	0.000	0.997	0.003
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.003	0.997	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.002	0.997	0.000
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.003	0.997	0.000
rs10152811 lBF = `0.0544045` Chr`15` : `86,854,590`	0.000	0.997	0.003
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.998	0.002
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.002	0.998	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	0.998	0.002
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	0.998	0.002
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	0.000	0.998	0.002
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.002	0.998	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.002	0.998	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.002	0.998	0.000
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.002	0.998	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.002	0.998	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.002	0.998	0.000
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rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.001	0.999	0.000
rs12900061 lBF = `-0.0389491` Chr`15` : `66,009,248`	0.001	0.999	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.001	0.999	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.001	0.999	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	0.999	0.001
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.001	0.999	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.001	0.999	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.001	0.999	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.999	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.001	0.999	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.001	0.999	0.000
rs16940212 lBF = `-0.0798621` Chr`15` : `58,694,020`	0.000	0.999	0.001
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.001	0.999	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.001	0.999	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	0.999	0.000
rs893817 lBF = `0.126902` Chr`15` : `74,229,065`	0.000	0.999	0.001
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.001	0.999	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	0.999	0.001
rs11630290 lBF = `-0.0707247` Chr`15` : `63,915,786`	0.000	0.999	0.001
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.001	0.999	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.001	0.999	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.001	0.999	0.000
rs6496932 lBF = `0.110988` Chr`15` : `85,825,567`	0.001	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	0.999	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.001	0.999	0.000
rs1038094 lBF = `-0.0674252` Chr`15` : `74,012,437`	0.001	0.999	0.000
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.001	0.999	0.000
rs55988292 lBF = `23.2665` Chr`15` : `78,936,168`	0.001	0.999	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	0.999	0.001
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.999	0.001
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.001	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	0.999	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.001	0.999	0.000
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.001	0.999	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	0.999	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	0.999	0.001
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	0.999	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	0.999	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.000	0.999	0.000
rs7164923 lBF = `-0.0306374` Chr`15` : `24,062,915`	0.000	0.999	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.001	0.999	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.001	0.999	0.000
rs67426328 lBF = `23.1344` Chr`15` : `78,934,318`	0.001	0.999	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	0.999	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	0.999	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	0.999	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	0.999	0.000
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.001	0.999	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs12914656 lBF = `0.0234813` Chr`15` : `86,660,720`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs9806400 lBF = `0.00601198` Chr`15` : `96,741,420`	0.000	1.000	0.000
rs335810 lBF = `0.00440869` Chr`15` : `60,368,206`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs2854437 lBF = `-0.042111` Chr`15` : `45,357,410`	0.000	1.000	0.000
rs1986112 lBF = `-0.0766278` Chr`15` : `63,540,572`	0.000	1.000	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.000	1.000	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs3809566 lBF = `0.0327919` Chr`15` : `63,333,724`	0.000	1.000	0.000
rs8040009 lBF = `-0.101179` Chr`15` : `93,044,339`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	1.000	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs4420500 lBF = `10.4486` Chr`15` : `78,962,964`	0.000	1.000	0.000
rs17691453 lBF = `1.65764` Chr`15` : `39,543,946`	0.000	1.000	0.000
rs2643217 lBF = `0.612596` Chr`15` : `39,003,763`	0.000	1.000	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	1.000	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.000	1.000	0.000
rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs2120019 lBF = `0.0398977` Chr`15` : `75,334,184`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	1.000	0.000
rs17439560 lBF = `-0.016614` Chr`15` : `37,449,619`	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

0.6380

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3222

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2692

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9998

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9996

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9993

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9992

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9987

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9985

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9977

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9960

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9955

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9926

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9917

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9907

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9906

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9900

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9887

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9874

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9873

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9868

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9842

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9839

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9792

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9760

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9740

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9737

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9728

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9727

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9710

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9698

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9564

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9547

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9519

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9483

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9252

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9230

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9161

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9014

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8970

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8948

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8933

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8911

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8907

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8862

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8842

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8786

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.8743

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8590

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8280

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8228

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8170

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8152

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8051

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8039

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8005

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7982

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7951

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7897

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7892

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7813

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7795

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7647

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7593

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7472

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7316

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7086

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6874

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6762

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6476

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6247

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6213

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5985

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5933

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5754

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5677

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5645

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5607

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5531

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5194

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5092

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4927

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4923

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4923

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4851

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4814

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4636

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4526

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4481

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4470

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4345

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4192

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4175

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4159

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4134

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4067

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4028

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3928

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3823

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3719

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3688

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3646

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3554

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3494

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3437

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3312

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3283

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3273

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3192

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3159

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3064

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3005

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2960

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2928

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2928

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2878

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2830

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2799

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2753

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2750

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2733

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2638

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2577

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2566

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2541

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2477

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2425

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2359

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2160

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2159

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1904

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1692

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1653

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1553

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1524

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1425

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1390

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1344

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1305

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1251

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1217

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1204

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1153

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1111

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1030

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1008

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0983

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0980

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0945

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0933

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0909

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0877

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0752

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0736

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0725

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0712

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0600

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0587

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0580

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0522

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`)