TreeWAS – [R65.1] Systemic Inflammatory Response Syndrome of infectious origin with organ failure

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
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.607	0.393	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.514	0.486	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.514	0.486	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.513	0.487	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.512	0.487	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.511	0.488	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.510	0.489	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.506	0.494	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.503	0.497	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.496	0.503	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.495	0.505	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.492	0.508	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.491	0.509	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.489	0.511	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.481	0.519	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.475	0.524	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.463	0.536	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.449	0.551	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.436	0.564	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.415	0.585	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.376	0.624	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.374	0.626	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.358	0.642	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.351	0.648	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.335	0.665	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.328	0.671	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.328	0.672	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.315	0.685	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.314	0.686	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.314	0.686	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.288	0.712	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.279	0.720	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.238	0.761	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.227	0.773	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.223	0.777	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.218	0.782	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.205	0.795	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.201	0.798	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.177	0.823	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.175	0.825	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.169	0.831	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.160	0.840	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.159	0.841	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.142	0.858	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.139	0.861	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.131	0.869	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.131	0.869	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.130	0.870	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.127	0.873	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.121	0.879	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.114	0.886	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.111	0.888	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.110	0.889	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.097	0.903	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.096	0.903	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.090	0.909	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.090	0.910	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.086	0.914	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.084	0.916	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.084	0.916	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.081	0.919	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.079	0.921	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.074	0.926	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.073	0.926	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.929	0.071
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.070	0.930	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.069	0.931	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.062	0.938	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.053	0.947	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.052	0.948	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.049	0.950	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.049	0.951	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.047	0.953	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.044	0.956	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.044	0.956	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.043	0.957	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.039	0.961	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.037	0.963	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.034	0.966	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.030	0.969	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.029	0.971	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.029	0.971	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.025	0.975	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.023	0.977	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.022	0.978	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.020	0.980	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.019	0.980	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.019	0.981	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.018	0.982	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.015	0.985	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.013	0.987	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.012	0.987	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.012	0.987	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.012	0.987	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.012	0.987	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.010	0.990	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.009	0.991	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.008	0.992	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.008	0.992	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.007	0.992	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.007	0.993	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.006	0.994	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.006	0.994	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.006	0.994	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.005	0.995	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.004	0.995	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.004	0.996	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.004	0.996	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.003	0.997	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.003	0.997	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.003	0.997	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.002	0.997	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.002	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.002	0.998	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.002	0.998	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.002	0.998	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.002	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.001	0.998	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.001	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.999	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.001	0.999	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.001	0.999	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.001	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.001
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.001	0.999	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.001	0.999	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.001	0.999	0.000
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.001	0.999	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.001	0.999	0.000
rs9939760 lBF = `-0.00061628` Chr`16` : `83,652,902`	0.000	0.999	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.001	0.999	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.001	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.001
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.001	0.999	0.000
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rs12928939 lBF = `-0.0426123` Chr`16` : `71,800,045`	0.000	0.999	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	0.999	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	0.999	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	0.999	0.000
rs391525 lBF = `-0.103562` Chr`16` : `85,944,439`	0.000	0.999	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.000	0.999	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.000	0.999	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	0.999	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	0.999	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	0.999	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.999	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	0.999	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	0.999	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	0.999	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.999	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	0.999	0.000
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	0.999	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.000
rs9989419 lBF = `0.114199` Chr`16` : `56,985,139`	0.000	0.999	0.000
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	0.999	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	0.999	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.999	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs821470 lBF = `-0.01652` Chr`16` : `57,058,582`	0.000	0.999	0.000
rs6500395 lBF = `-0.0176278` Chr`16` : `48,621,402`	0.000	0.999	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	0.999	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	0.999	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.999	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	0.999	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	0.999	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.000	0.999	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.000	0.999	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	0.999	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	0.999	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	0.999	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	0.999	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	0.999	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	0.999	0.000
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.000	0.999	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	0.999	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.000	1.000	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.000	1.000	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs1967309 lBF = `0.483005` Chr`16` : `4,065,583`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	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

0.5121

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0719

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0706

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8163

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6944

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6752

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6687

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6499

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6469

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6262

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5874

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5140

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5140

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5140

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5140

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5140

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5140

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5140

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5140

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5140

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5140

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5140

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5140

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5140

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5140

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5140

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5140

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5140

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5140

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5139

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5138

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5138

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5138

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5137

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5136

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5136

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5135

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5135

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5134

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5134

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5131

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5130

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5127

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5125

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5122

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5110

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5109

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5079

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5075

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5057

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5017

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4995

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4990

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4917

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4887

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4882

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4831

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4738

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.4720

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4665

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4593

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4517

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4351

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4257

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4209

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4179

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3629

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3409

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3360

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3306

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3294

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3293

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3241

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3104

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2919

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2663

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2065

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2025

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1764

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1700

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1589

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1579

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1385

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1092

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1085

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1007

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0958

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0958

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0878

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0836

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0764

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0734

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0730

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0531

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`)