TreeWAS – [N18.2] Chronic kidney disease, stage 2

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
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.805	0.195	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.776	0.224	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.694	0.306	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.691	0.309	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.680	0.320	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.674	0.326	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.668	0.332	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.649	0.351	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.612	0.388	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.595	0.405	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.592	0.408	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.584	0.416	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.579	0.421	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.535	0.465	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.531	0.469	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.521	0.479	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.501	0.499	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.482	0.518	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.476	0.524	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.473	0.527	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.460	0.540	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.448	0.551	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.446	0.554	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.429	0.571	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.364	0.636	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.359	0.641	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.337	0.663	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.319	0.681	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.313	0.687	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.273	0.727	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.260	0.739	0.001
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.252	0.747	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.248	0.752	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.240	0.759	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.228	0.772	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.195	0.804	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.170	0.829	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.157	0.843	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.147	0.853	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.138	0.862	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.133	0.866	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.123	0.877	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.119	0.881	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.107	0.893	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.094	0.906	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.091	0.909	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.089	0.910	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.061	0.939	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.061	0.939	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.054	0.946	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.053	0.947	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.052	0.948	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.044	0.955	0.001
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.041	0.959	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.032	0.968	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.026	0.974	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.018	0.982	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.017	0.983	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.017	0.983	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.984	0.016
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.014	0.986	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.012	0.988	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.009	0.991	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.009	0.991	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.008	0.992	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.007	0.993	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.007	0.993	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.006	0.993	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.006	0.994	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.005	0.995	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.005	0.995	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.996	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.996	0.004
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.996	0.004
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	0.997	0.003
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.003	0.997	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.003	0.997	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.997	0.003
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	0.997	0.003
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.003	0.997	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.997	0.003
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.002	0.998	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.002	0.998	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.002	0.998	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.998	0.001
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.002	0.998	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.002	0.998	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.002	0.998	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.002	0.998	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	0.998	0.002
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.998	0.002
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.998	0.002
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.002	0.998	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.998	0.002
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.002	0.998	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.002	0.998	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.998	0.002
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.999	0.001
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.999	0.001
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.999	0.001
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.001
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.001	0.999	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.001	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.999	0.001
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.001
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.999	0.001
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
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.999	0.001
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	0.999	0.001
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	0.999	0.001
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	0.999	0.001
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.999	0.001
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.001	0.999	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	0.999	0.001
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.001
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.001	0.999	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.001	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.999	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.001	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	0.999	0.001
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.001	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	0.999	0.001
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.999	0.001
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.001
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	0.999	0.001
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.001	0.999	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	0.999	0.001
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	0.999	0.001
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	0.999	0.001
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	0.999	0.001
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.001
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.000	0.999	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.000	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	0.999	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.000	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	0.999	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	0.999	0.001
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.001	0.999	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.001	0.999	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	0.999	0.001
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.000	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.001	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	0.999	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	0.999	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
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rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	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
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	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
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	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
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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 X0031

log Bayes Factor = 111.103

contains 3 variants

0.5873

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5713

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4846

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9973

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9952

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9908

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9777

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9727

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9633

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9616

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9607

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9588

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9555

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9499

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9483

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9478

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9359

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9324

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9318

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9291

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9229

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9205

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9203

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9174

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9164

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9160

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9135

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9124

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9012

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8990

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8930

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8883

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8835

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8823

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8730

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8718

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8707

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8665

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8663

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8653

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8571

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8566

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8552

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8509

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8429

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8420

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8398

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8373

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8368

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8343

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8160

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8098

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8096

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8002

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7931

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7920

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7857

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7832

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7798

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7752

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7666

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7619

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7461

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7436

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7421

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7368

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7194

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6987

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6804

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6770

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6519

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6466

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6417

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6406

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6371

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6361

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6279

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6014

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5761

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5655

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5210

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4828

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4397

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4203

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3888

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3855

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3780

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3749

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3481

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3445

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3395

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3327

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3245

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3238

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3208

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3137

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2969

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2956

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2886

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2713

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2563

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2191

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2063

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2063

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2056

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1975

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1921

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1906

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1767

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1709

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1408

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1378

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1128

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1118

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1108

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1092

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1015

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0967

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0932

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0919

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0915

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0836

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0820

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0698

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0695

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0648

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0570

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0523

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0507

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`)