TreeWAS – [Z87.0] Personal history of diseases of the respiratory system

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
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.922	0.078	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.901	0.099	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.805	0.195	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.759	0.241	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.755	0.245	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.648	0.352	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.610	0.390	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.602	0.398	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.558	0.442	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.504	0.496	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.499	0.501	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.493	0.507	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.488	0.512	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.479	0.521	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.466	0.534	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.435	0.565	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.418	0.582	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.402	0.598	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.387	0.613	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.628	0.372
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.357	0.643	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.344	0.656	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.339	0.661	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.337	0.663	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.311	0.689	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.295	0.705	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.290	0.710	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.275	0.725	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.274	0.726	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.263	0.737	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.261	0.739	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.260	0.739	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.244	0.756	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.242	0.758	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.238	0.762	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.213	0.787	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.204	0.796	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.196	0.804	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.188	0.812	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.183	0.816	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.149	0.851	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.145	0.855	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.863	0.137
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.123	0.877	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.121	0.879	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.116	0.884	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.106	0.893	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.101	0.899	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.089	0.911	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.089	0.911	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.086	0.914	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.074	0.926	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.071	0.928	0.001
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.070	0.930	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.049	0.951	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.043	0.957	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.041	0.959	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.040	0.960	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.039	0.961	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.037	0.963	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.035	0.964	0.001
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.035	0.965	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.034	0.965	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.031	0.969	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.029	0.969	0.001
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.030	0.970	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.029	0.971	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.027	0.973	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.027	0.973	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.026	0.974	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.024	0.976	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.021	0.979	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.021	0.979	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.016	0.984	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.016	0.984	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.015	0.985	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.014	0.986	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.013	0.987	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.012	0.988	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.012	0.988	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.011	0.989	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.010	0.989	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.009	0.990	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.008	0.991	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.006	0.994	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.005	0.994	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.005	0.994	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.005	0.995	0.000
rs2656620 lBF = `-0.0830656` Chr`16` : `78,913,387`	0.005	0.995	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.004	0.996	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	0.996	0.004
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.003	0.996	0.001
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.997	0.003
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.003	0.997	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.997	0.003
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.002	0.998	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.998	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.002	0.998	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.002	0.998	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.002	0.998	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs61041336 lBF = `-0.0686938` Chr`16` : `58,733,162`	0.002	0.998	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.002	0.998	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	0.998	0.002
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.002	0.998	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.002	0.998	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.001	0.998	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.000	0.999	0.001
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.001	0.999	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	0.999	0.001
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
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.001	0.999	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.001	0.999	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	0.001	0.999	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.999	0.001
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.001	0.999	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
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
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
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
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	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
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
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
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	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
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
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	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
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.001	0.999	0.000
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.001	0.999	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.001	0.999	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.001	0.999	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.001	0.999	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.001	0.999	0.000
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.000	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.001	0.999	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.001	0.999	0.000
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.001	0.999	0.000
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.000	0.999	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	0.999	0.001
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.001	0.999	0.000
rs9939760 lBF = `-0.00061628` Chr`16` : `83,652,902`	0.001	0.999	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.001	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.001
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.001
rs11647589 lBF = `-0.0210411` Chr`16` : `20,449,616`	0.001	0.999	0.000
rs3803680 lBF = `16.4381` Chr`16` : `89,590,243`	0.001	0.999	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.001	0.999	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	0.999	0.001
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.000	0.999	0.000
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rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	1.000	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	1.000	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.000	1.000	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	1.000	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	1.000	0.000
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.000	1.000	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	1.000	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	1.000	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	1.000	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs9925964 lBF = `1.06474` Chr`16` : `31,129,895`	0.000	1.000	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	1.000	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs12597023 lBF = `-0.0718744` Chr`16` : `50,013,967`	0.000	1.000	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.000	1.000	0.000
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.000	1.000	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	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
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	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

0.7954

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3721

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9984

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9760

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9697

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9610

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9307

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9246

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9075

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9058

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8491

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8272

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8223

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7012

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6980

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6320

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6033

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5510

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4968

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4940

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4265

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4167

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4127

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3933

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3732

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3008

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2872

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2678

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1956

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1781

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1556

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1490

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1307

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1303

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1066

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1052

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0648

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0632

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0560

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`)