TreeWAS – [Z90.2] Acquired absence of lung [part of]

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
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.831	0.169	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.761	0.239	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.746	0.254	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.713	0.287	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.694	0.306	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.680	0.320	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.662	0.338	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.651	0.349	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.645	0.355	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.631	0.369	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.626	0.374	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.610	0.390	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.606	0.394	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.590	0.409	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.584	0.416	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.569	0.430	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.567	0.433	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.557	0.442	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.557	0.443	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.552	0.447	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.545	0.455	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.539	0.461	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.533	0.467	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.517	0.483	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.501	0.499	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.501	0.499	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.510	0.490
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.471	0.529	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.466	0.534	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.448	0.552	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.438	0.562	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.434	0.566	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.412	0.588	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.406	0.593	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.380	0.620	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.354	0.646	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.352	0.648	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.349	0.651	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.349	0.651	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.319	0.681	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.302	0.698	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.298	0.701	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.295	0.704	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.263	0.737	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.255	0.745	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.250	0.750	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.215	0.784	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.185	0.815	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.181	0.819	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.160	0.840	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.130	0.870	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	0.872	0.128
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.107	0.893	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.097	0.903	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.089	0.911	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.085	0.915	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.074	0.926	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.071	0.929	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.063	0.937	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.063	0.937	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.061	0.939	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.055	0.945	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.054	0.946	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.051	0.948	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.051	0.948	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.050	0.950	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	0.954	0.046
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.042	0.958	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.039	0.961	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.039	0.961	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.039	0.961	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	0.964	0.036
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.036	0.964	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.035	0.964	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.035	0.965	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.033	0.967	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.031	0.969	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.029	0.971	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.028	0.972	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.027	0.973	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.020	0.980	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.017	0.983	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.011	0.988	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.011	0.989	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.011	0.989	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.011	0.989	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.010	0.990	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.010	0.990	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.009	0.991	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.008	0.992	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	0.992	0.008
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.007	0.993	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.005	0.995	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.005	0.995	0.000
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.005	0.995	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.004	0.996	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.004	0.996	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.004	0.996	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.003	0.996	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.003	0.997	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.003	0.997	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.002	0.997	0.001
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.003	0.997	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.003	0.997	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.003	0.997	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.002	0.998	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	0.998	0.002
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.002	0.998	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.002	0.998	0.000
rs12928939 lBF = `-0.0426123` Chr`16` : `71,800,045`	0.002	0.998	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.002	0.998	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	0.999	0.001
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	0.000	0.999	0.001
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.001
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.001	0.999	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	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
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.001	0.999	0.000
rs2001970 lBF = `-0.0944758` Chr`16` : `55,255,191`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.001	0.999	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	0.999	0.001
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	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
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	0.999	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
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
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
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
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.001	0.999	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	0.999	0.001
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
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	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
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.001
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.001	0.999	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.001	0.999	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	0.999	0.001
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.999	0.001
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.001	0.999	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	0.999	0.001
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	0.999	0.001
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rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs1902813 lBF = `-0.0220168` Chr`16` : `20,057,661`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs12596252 lBF = `-0.0307697` Chr`16` : `20,056,993`	0.000	1.000	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	1.000	0.000
rs246185 lBF = `-0.0781691` Chr`16` : `14,395,432`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	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
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs763014 lBF = `-0.0101051` Chr`16` : `675,680`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	1.000	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs11075138 lBF = `-0.0736825` Chr`16` : `12,723,811`	0.000	1.000	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.000	1.000	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.000	1.000	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	1.000	0.000
rs2288012 lBF = `-0.107255` Chr`16` : `58,327,646`	0.000	1.000	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.000	1.000	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	1.000	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs2639889 lBF = `-0.0253793` Chr`16` : `61,123,147`	0.000	1.000	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	1.000	0.000
rs129963 lBF = `-0.0869484` Chr`16` : `3,796,147`	0.000	1.000	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.000	1.000	0.000
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.000	1.000	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	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
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	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

0.7993

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.5409

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4904

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9966

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9955

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9921

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9868

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9851

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9787

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9742

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9714

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9702

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9537

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9490

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9395

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9350

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9334

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9308

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9256

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9068

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9009

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8928

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8682

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8658

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8276

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8067

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7943

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7723

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7347

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7317

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7291

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7212

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7085

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6887

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6552

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6551

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6356

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6337

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5766

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5556

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5500

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5210

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4932

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4730

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4633

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4415

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4149

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4098

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3832

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3499

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3385

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3236

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3102

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3007

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2897

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2875

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2814

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2522

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2458

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1998

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1863

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1778

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1765

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1732

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1540

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1477

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1402

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1292

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1108

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0976

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0887

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0812

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0700

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0596

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0554

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`)