TreeWAS – [J35.9] Chronic disease of tonsils and adenoids, unspecified

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
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.650	0.349	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.636	0.364	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.607	0.392	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.597	0.403	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.585	0.415	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.553	0.447	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.522	0.477	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.507	0.493	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.482	0.518	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.481	0.519	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.449	0.551	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.443	0.557	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.430	0.569	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.425	0.575	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.405	0.594	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.383	0.616	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.370	0.630	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.366	0.634	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.356	0.643	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.346	0.654	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.346	0.654	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.344	0.656	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.341	0.658	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.318	0.682	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.316	0.683	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.287	0.712	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.285	0.715	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.218	0.781	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.197	0.803	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.187	0.813	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.183	0.817	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.182	0.817	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.180	0.820	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.163	0.836	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.159	0.841	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.159	0.841	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.157	0.843	0.001
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.156	0.844	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.152	0.848	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.143	0.857	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.135	0.864	0.001
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.123	0.876	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.119	0.881	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.119	0.881	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.106	0.894	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.106	0.894	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.095	0.904	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.091	0.909	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.085	0.915	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.072	0.928	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.070	0.930	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.067	0.933	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.062	0.937	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.059	0.941	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.058	0.942	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.056	0.944	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.048	0.951	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.046	0.953	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.046	0.954	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.044	0.956	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.042	0.958	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.039	0.961	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.035	0.965	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.031	0.969	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.030	0.969	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.029	0.970	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.019	0.980	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	0.982	0.018
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.016	0.984	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.014	0.985	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.986	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.013	0.987	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.988	0.011
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.010	0.990	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.009	0.990	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.008	0.992	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.006	0.994	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.005	0.994	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.005	0.995	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.005	0.995	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	0.995	0.005
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.004	0.995	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.004	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.004	0.996	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.004	0.996	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.004	0.996	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.003	0.997	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.003	0.997	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.997	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.003	0.997	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	0.997	0.003
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.002	0.997	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.002	0.998	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	0.998	0.002
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.002	0.998	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.002	0.998	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	0.998	0.002
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.002	0.998	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.002	0.998	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.998	0.002
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	0.998	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.998	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.001	0.998	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.001	0.998	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.001	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	0.999	0.001
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.001	0.999	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.999	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.000	0.999	0.001
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.001	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.001	0.999	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	0.999	0.001
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.001	0.999	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.001	0.999	0.001
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.001	0.999	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	0.999	0.001
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	0.999	0.001
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.001
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	0.999	0.001
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	0.999	0.001
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.999	0.001
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	0.999	0.001
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	0.999	0.001
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	0.999	0.001
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.001	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.001	0.999	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	0.999	0.001
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.001	0.999	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.001
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.001
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.001
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.001
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	0.999	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	0.999	0.001
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.999	0.001
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	0.999	0.001
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	0.999	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.001	0.999	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	0.999	0.001
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	0.999	0.001
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	0.999	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.001	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	0.999	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	0.999	0.001
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.999	0.001
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	0.999	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.001	0.999	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	0.999	0.001
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	0.999	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	0.999	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	0.999	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
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rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs6009824 lBF = `-0.0510679` Chr`22` : `50,086,373`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	1.000	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	1.000	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	1.000	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	1.000	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	1.000	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	1.000	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000

This table lists the top 491 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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1793

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8582

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8434

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8433

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8121

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7895

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7892

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7884

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7711

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7688

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7645

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7559

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7434

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7359

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7133

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7118

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7112

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7099

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7056

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7050

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7038

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6967

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6963

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6720

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6668

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6632

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6573

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6411

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6398

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6393

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6376

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6325

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6320

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6303

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6298

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6282

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6264

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6253

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6227

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6202

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6104

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5991

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5950

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5864

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5857

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5708

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5703

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5635

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5600

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5596

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5526

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5417

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5369

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5304

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5290

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5214

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5154

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5132

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5091

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5003

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4968

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4924

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4791

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4680

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4644

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4614

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4585

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4477

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4468

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4461

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4393

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4170

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4134

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4078

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4065

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4046

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3849

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3798

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3795

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3718

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3665

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3553

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3443

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3398

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3368

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3071

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3032

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2796

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2757

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2719

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2513

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2475

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2472

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2469

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2395

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2224

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2185

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2158

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2151

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2073

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2061

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1864

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1809

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1697

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1557

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1526

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1519

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1441

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1327

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1300

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1213

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1181

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1172

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1127

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1034

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0996

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0857

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0717

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0707

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0650

Cluster X0295

log Bayes Factor = 122.209

contains 5 variants

0.0632

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0629

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0612

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0602

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0590

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0545

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0537

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0517

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0504

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0502

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`)