TreeWAS – [I80.9] Phlebitis and thrombophlebitis of unspecified site

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
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.832	0.168	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.654	0.346	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.567	0.433	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.547	0.453	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.541	0.459	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.507	0.492	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.489	0.511	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.478	0.521	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.478	0.522	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.473	0.527	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.438	0.562	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.357	0.643	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.334	0.666	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.313	0.686	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.301	0.699	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.299	0.701	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.292	0.707	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.284	0.716	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.266	0.734	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.265	0.735	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.248	0.752	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.230	0.770	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.229	0.771	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.226	0.774	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.224	0.775	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.214	0.785	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.214	0.785	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.193	0.807	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.192	0.808	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.185	0.815	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.182	0.818	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.177	0.822	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.174	0.826	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.167	0.833	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.164	0.836	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.161	0.839	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.158	0.842	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.156	0.844	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.142	0.858	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.135	0.865	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.132	0.868	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.125	0.875	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.114	0.885	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.099	0.900	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.097	0.903	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.097	0.903	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.090	0.910	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.090	0.910	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.088	0.912	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.088	0.912	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.086	0.914	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.077	0.923	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.072	0.928	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.072	0.928	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.072	0.928	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.058	0.941	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.058	0.942	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.050	0.950	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.048	0.952	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.046	0.954	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.042	0.958	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.040	0.959	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.038	0.962	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.036	0.963	0.001
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.035	0.965	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.033	0.967	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.031	0.969	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.024	0.976	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.024	0.976	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.024	0.976	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.023	0.977	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.022	0.978	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.022	0.978	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.022	0.978	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.021	0.979	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.021	0.979	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.020	0.980	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.020	0.980	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.019	0.980	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.019	0.981	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.018	0.982	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.018	0.982	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.015	0.985	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.015	0.985	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.015	0.985	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.014	0.985	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.014	0.986	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.014	0.986	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.013	0.987	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.987	0.012
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.012	0.988	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	0.989	0.011
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.009	0.991	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.007	0.993	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.007	0.993	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.007	0.993	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	0.993	0.007
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.006	0.994	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.006	0.994	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	0.994	0.006
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.005	0.994	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.005	0.995	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.995	0.005
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.005	0.995	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.995	0.005
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.005	0.995	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.005	0.995	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.004	0.996	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.004	0.996	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	0.996	0.004
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.003	0.997	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.003	0.997	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	0.997	0.003
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.002	0.998	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.998	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.002	0.998	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	0.998	0.002
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.998	0.002
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.998	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	0.998	0.002
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.002	0.998	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.002	0.998	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	0.998	0.002
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.002	0.998	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.001	0.998	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.998	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	0.999	0.001
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	0.999	0.001
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	0.999	0.001
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.001	0.999	0.000
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
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.001
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.001	0.999	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.001	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.999	0.001
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	0.999	0.001
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.001	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.001	0.999	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.001	0.999	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	0.999	0.001
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.001	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	0.999	0.001
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	0.999	0.001
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	0.999	0.001
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.001	0.999	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	0.999	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.001	0.999	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.001	0.999	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
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rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	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
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.7351

Cluster X0136

log Bayes Factor = 105.47

contains 5 variants

0.6579

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1558

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9822

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9797

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9722

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9696

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9652

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9639

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9490

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9465

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9459

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9446

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9384

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9262

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9239

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9229

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9214

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9180

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9082

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9056

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9035

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.9014

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8972

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8968

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8895

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8888

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8805

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8776

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8754

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8716

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8706

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8682

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8680

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8661

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8641

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8632

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8569

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8567

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8491

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8484

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8472

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8457

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8341

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8323

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8297

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8287

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8228

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8139

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8138

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8101

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8091

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7967

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7935

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7879

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7771

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7770

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7734

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7612

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7612

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7561

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7479

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7471

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7374

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7319

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7304

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7176

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7135

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6975

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6775

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6748

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6648

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6645

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6622

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6386

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6231

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6155

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6075

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5927

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5760

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5673

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5404

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5341

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5308

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5270

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5136

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5072

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4785

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4579

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4438

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4395

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4381

Cluster X0135

log Bayes Factor = 161.721

contains 3 variants

0.4329

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4170

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3936

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3851

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3704

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3635

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3351

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2949

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2916

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2741

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2491

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2448

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2433

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2410

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2359

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2306

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2246

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2190

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2094

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2071

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1965

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1870

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1746

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1662

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1559

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1543

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1466

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1462

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1452

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1353

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1302

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1130

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1091

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1005

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0906

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0854

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0842

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0823

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0761

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0717

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0658

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0586

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0584

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0557

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0504

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`)