TreeWAS – [R57.2] Septic shock

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
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.704	0.296	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.686	0.314	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.592	0.408	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.584	0.416	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.569	0.431	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.553	0.447	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.537	0.462	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.537	0.463	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.534	0.466	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.513	0.487	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.511	0.488	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.511	0.489	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.485	0.514	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.485	0.515	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.482	0.518	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.481	0.518	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.461	0.539	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.448	0.552	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.430	0.570	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.426	0.573	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.412	0.588	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.412	0.588	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.406	0.594	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.396	0.604	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.392	0.608	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.384	0.616	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.381	0.619	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.361	0.639	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.314	0.685	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.309	0.691	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.307	0.693	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.274	0.726	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.250	0.750	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.248	0.751	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.217	0.783	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.212	0.788	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.202	0.798	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.182	0.817	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.182	0.818	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.178	0.822	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.178	0.822	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.169	0.831	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.167	0.833	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.164	0.836	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.163	0.837	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.160	0.839	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.145	0.854	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.128	0.872	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.123	0.877	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.122	0.878	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.103	0.897	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.103	0.897	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.101	0.899	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.096	0.904	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.093	0.907	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.085	0.915	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.078	0.922	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.072	0.928	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.059	0.940	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.059	0.941	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.055	0.945	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.053	0.947	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.045	0.955	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.039	0.960	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.037	0.963	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.036	0.964	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.033	0.966	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.033	0.967	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.031	0.969	0.001
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.031	0.969	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.030	0.970	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.029	0.971	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.028	0.972	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.027	0.972	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.019	0.981	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.017	0.982	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.016	0.983	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.015	0.984	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.014	0.986	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.012	0.988	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.011	0.988	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.011	0.989	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.010	0.989	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.010	0.990	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.990	0.009
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.008	0.991	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.008	0.991	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.007	0.993	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.007	0.993	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.006	0.994	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.006	0.994	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.005	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.005	0.994	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	0.995	0.005
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.004	0.995	0.000
rs12914626 lBF = `-0.107182` Chr`15` : `58,738,423`	0.000	0.996	0.004
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.004	0.996	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.004	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.003	0.996	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.997	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.003	0.997	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.003	0.997	0.000
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.000	0.997	0.003
rs7119 lBF = `-0.0367213` Chr`15` : `77,777,632`	0.003	0.997	0.000
rs11857532 lBF = `3.34895` Chr`15` : `78,968,268`	0.000	0.997	0.003
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.002	0.997	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.002	0.998	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.002	0.998	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.002	0.998	0.000
rs2624265 lBF = `-0.0584597` Chr`15` : `39,148,649`	0.000	0.998	0.002
rs7177026 lBF = `-0.0870655` Chr`15` : `79,927,594`	0.000	0.998	0.002
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.002	0.998	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.998	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.002	0.998	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.002	0.998	0.000
rs11633178 lBF = `10.7181` Chr`15` : `78,944,538`	0.000	0.998	0.002
rs11634351 lBF = `10.8007` Chr`15` : `78,944,718`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs2777491 lBF = `-0.053517` Chr`15` : `41,735,710`	0.000	0.998	0.002
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs3893384 lBF = `-0.0741418` Chr`15` : `79,973,055`	0.000	0.998	0.002
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.000	0.998	0.002
rs1996371 lBF = `10.4683` Chr`15` : `78,956,806`	0.000	0.998	0.002
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.002	0.998	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.000	0.998	0.002
rs12899135 lBF = `10.7834` Chr`15` : `78,954,379`	0.000	0.998	0.002
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	0.998	0.002
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	0.998	0.002
rs1021071 lBF = `11.7` Chr`15` : `78,968,179`	0.000	0.998	0.002
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	0.998	0.002
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	0.998	0.002
rs4777989 lBF = `-0.0527191` Chr`15` : `93,006,740`	0.002	0.998	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.998	0.002
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	0.998	0.002
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.002	0.998	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	0.998	0.002
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.998	0.001
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	0.998	0.002
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.998	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.001	0.999	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.001	0.999	0.000
rs3743162 lBF = `0.842466` Chr`15` : `85,430,969`	0.001	0.999	0.000
rs8041943 lBF = `-0.0444366` Chr`15` : `79,966,600`	0.000	0.999	0.001
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.001	0.999	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.001	0.999	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	0.999	0.001
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.001	0.999	0.000
rs4778720 lBF = `-0.0829449` Chr`15` : `79,975,647`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.001	0.999	0.000
rs12910412 lBF = `-0.118647` Chr`15` : `94,707,073`	0.001	0.999	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.001	0.999	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	0.999	0.001
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.001	0.999	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	0.999	0.001
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.001	0.999	0.000
rs7495052 lBF = `-0.109136` Chr`15` : `92,552,029`	0.000	0.999	0.001
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs3971860 lBF = `12.95` Chr`15` : `79,026,278`	0.000	0.999	0.001
rs3971859 lBF = `12.95` Chr`15` : `79,026,277`	0.000	0.999	0.001
rs11639049 lBF = `12.6971` Chr`15` : `79,023,730`	0.000	0.999	0.001
rs11639166 lBF = `12.6714` Chr`15` : `79,023,766`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs11638372 lBF = `15.1961` Chr`15` : `78,983,559`	0.000	0.999	0.001
rs922692 lBF = `15.1186` Chr`15` : `78,984,214`	0.000	0.999	0.001
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.000	0.999	0.001
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	0.999	0.001
rs8027972 lBF = `12.657` Chr`15` : `79,022,615`	0.000	0.999	0.001
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	0.999	0.001
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.001	0.999	0.000
rs12324870 lBF = `0.189277` Chr`15` : `78,995,801`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.001
rs4887077 lBF = `15.5143` Chr`15` : `78,978,364`	0.000	0.999	0.001
rs12901913 lBF = `15.3462` Chr`15` : `78,981,348`	0.000	0.999	0.001
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	0.999	0.001
rs3825932 lBF = `-0.0834112` Chr`15` : `79,235,446`	0.000	0.999	0.001
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.001	0.999	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	0.999	0.001
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.000	0.999	0.001
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.000	0.999	0.001
rs1825082 lBF = `12.968` Chr`15` : `79,023,433`	0.000	0.999	0.001
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.000	0.999	0.001
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.000	0.999	0.001
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.001	0.999	0.000
rs11072790 lBF = `13.6677` Chr`15` : `78,992,025`	0.000	0.999	0.001
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	0.000	0.999	0.001
rs2869554 lBF = `13.2393` Chr`15` : `79,021,037`	0.000	0.999	0.001
rs34563625 lBF = `13.2278` Chr`15` : `79,020,278`	0.000	0.999	0.001
rs3829786 lBF = `13.2228` Chr`15` : `79,019,546`	0.000	0.999	0.001
rs1825083 lBF = `13.1604` Chr`15` : `79,023,467`	0.000	0.999	0.001
rs34225855 lBF = `13.1227` Chr`15` : `79,022,136`	0.000	0.999	0.001
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rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.000	0.999	0.001
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	0.999	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.999	0.001
rs7177699 lBF = `11.1441` Chr`15` : `79,089,734`	0.000	0.999	0.001
rs28610385 lBF = `11.0231` Chr`15` : `79,090,606`	0.000	0.999	0.001
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.001	0.999	0.000
rs7173267 lBF = `10.9887` Chr`15` : `79,092,750`	0.000	0.999	0.001
rs11638321 lBF = `10.9777` Chr`15` : `79,092,183`	0.000	0.999	0.001
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.001	0.999	0.000
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.001	0.999	0.000
rs12592721 lBF = `10.9421` Chr`15` : `79,099,145`	0.000	0.999	0.001
rs11634450 lBF = `10.9393` Chr`15` : `79,093,201`	0.000	0.999	0.001
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.001	0.999	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.001	0.999	0.000
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.001	0.999	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.001	0.999	0.000
rs11856536 lBF = `10.9145` Chr`15` : `79,094,325`	0.000	0.999	0.001
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.001	0.999	0.000
rs2656073 lBF = `10.8682` Chr`15` : `78,742,276`	0.001	0.999	0.000
rs2656072 lBF = `10.8529` Chr`15` : `78,744,292`	0.001	0.999	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	0.999	0.001
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.000	0.999	0.001
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.000	0.999	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.000	0.999	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.001	0.999	0.000
rs76917273 lBF = `0.00233228` Chr`15` : `71,572,954`	0.000	0.999	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.001	0.999	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.001	0.999	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	0.999	0.001
rs937254 lBF = `-0.0852167` Chr`15` : `57,910,164`	0.001	0.999	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	0.999	0.001
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	0.999	0.001
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	0.999	0.001
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	0.999	0.001
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	0.999	0.001
rs4887113 lBF = `10.8073` Chr`15` : `79,095,287`	0.000	0.999	0.001
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.000	0.999	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.001	0.999	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.001	0.999	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.000	0.999	0.001
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.000	0.999	0.001
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	0.999	0.001
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	0.999	0.001
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	0.999	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	0.999	0.001
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	0.999	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.000	0.999	0.001
rs28890483 lBF = `-0.0496862` Chr`15` : `59,719,169`	0.001	0.999	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.001	0.999	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	0.999	0.001
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.000	0.999	0.001
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.000	0.999	0.001
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	0.999	0.001
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	0.999	0.001
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	0.999	0.001
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	0.999	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	0.999	0.001
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.999	0.001
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	0.999	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	0.999	0.000
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.001	0.999	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	0.999	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.001	0.999	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.001	0.999	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.000	0.999	0.001
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.000	0.999	0.001
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.000	0.999	0.001
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.000	0.999	0.001
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.000	0.999	0.001
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.000	0.999	0.001
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.000	0.999	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	0.000	0.999	0.001
rs9635324 lBF = `0.638882` Chr`15` : `40,703,211`	0.001	0.999	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.000	0.999	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	0.999	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.000	0.999	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	0.999	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.000	0.999	0.001
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.001	0.999	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.000	0.999	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.000	0.999	0.001
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.000	0.999	0.001
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.000	0.999	0.001
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.000	0.999	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.000	0.999	0.001
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.000	0.999	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	0.999	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	0.999	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	0.999	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	0.999	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	0.999	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.000	0.999	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.000	0.999	0.000
rs9920506 lBF = `6.44917` Chr`15` : `78,931,057`	0.000	0.999	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.000	0.999	0.000
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	0.999	0.001
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.000	0.999	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

0.3996

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1066

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0706

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9941

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9933

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9930

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9924

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9855

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9832

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9734

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9729

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9648

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9570

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9561

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9554

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9454

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9407

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9332

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9225

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9167

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9164

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9152

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9126

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9112

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9071

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8986

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8867

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8855

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8837

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8808

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8772

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8710

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8565

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8556

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8510

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8482

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8457

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8366

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8334

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8291

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8213

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8137

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8067

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7975

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7965

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7933

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7844

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7761

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7713

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7699

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7614

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7346

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7157

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7122

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7054

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7017

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7008

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7001

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6935

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6848

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6611

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6598

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6331

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6281

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6148

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5917

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5856

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5849

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5809

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5721

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5702

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5580

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5466

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5422

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5394

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5022

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4971

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4765

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4694

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4475

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4425

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4084

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4046

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3907

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3729

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3676

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3664

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3570

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3234

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3170

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3049

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3025

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2640

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2382

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2369

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2280

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1920

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1867

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1489

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1460

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1393

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1242

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1171

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1082

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0989

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0945

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0870

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0843

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0618

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0585

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`)