TreeWAS – [I12.9] Hypertensive renal disease without renal failure

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`	0.750	0.250	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.723	0.277	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.702	0.298	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.554	0.445	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.545	0.455	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.536	0.464	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.521	0.479	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.513	0.487	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.468	0.532	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.431	0.569	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.416	0.584	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.405	0.595	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.400	0.600	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.393	0.607	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.376	0.624	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.375	0.625	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.374	0.626	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.364	0.636	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.362	0.638	0.001
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.360	0.639	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.352	0.648	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.351	0.649	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.346	0.654	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.335	0.665	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.319	0.681	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.288	0.712	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.282	0.718	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.278	0.722	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.273	0.727	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.270	0.730	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.268	0.732	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.262	0.737	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.246	0.754	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.237	0.763	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.226	0.773	0.001
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.219	0.780	0.001
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.211	0.789	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.207	0.792	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.201	0.799	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.196	0.803	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.190	0.810	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.188	0.812	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.169	0.831	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.168	0.832	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.165	0.834	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.152	0.847	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.143	0.856	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.135	0.864	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.125	0.875	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.118	0.882	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.109	0.891	0.001
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.099	0.901	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.076	0.924	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.074	0.925	0.001
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.072	0.928	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.066	0.934	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.064	0.935	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.053	0.947	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.052	0.948	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.050	0.950	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.049	0.951	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.048	0.952	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.047	0.953	0.001
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.046	0.954	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.039	0.961	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.037	0.963	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.033	0.967	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.031	0.969	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.024	0.976	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.022	0.977	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.022	0.978	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.980	0.020
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.019	0.981	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.018	0.981	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.018	0.982	0.001
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.017	0.982	0.001
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.016	0.983	0.001
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.016	0.983	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.015	0.984	0.001
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.016	0.984	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.014	0.986	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.000	0.988	0.012
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.011	0.989	0.001
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.009	0.990	0.001
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.991	0.008
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.008	0.992	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.006	0.994	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.006	0.994	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.005	0.994	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.005	0.995	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.005	0.995	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.004	0.995	0.001
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.005	0.995	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.004	0.995	0.001
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.004	0.996	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.003	0.996	0.001
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.003	0.996	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.003	0.997	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.003	0.997	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.002	0.997	0.001
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.997	0.003
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.997	0.003
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.997	0.003
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.997	0.003
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.998	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.002	0.998	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.002	0.998	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.002	0.998	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.000	0.998	0.002
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.998	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.002	0.998	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.001	0.998	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.999	0.001
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.001	0.999	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.001	0.999	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	0.999	0.001
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	0.999	0.001
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.001	0.999	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.001	0.999	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.999	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	0.999	0.001
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.001	0.999	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.001
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	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
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.001	0.999	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.001
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.999	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.001	0.999	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	0.999	0.001
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs1930961 lBF = `-0.0313722` Chr`22` : `25,875,265`	0.001	0.999	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	0.999	0.001
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.001
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	0.999	0.001
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.000	0.999	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.001	0.999	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	0.999	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.001
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.001	0.999	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.001	0.999	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.001	0.999	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.001	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.999	0.001
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.001	0.999	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	0.999	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.001
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.001	0.999	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	0.999	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.001
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	0.999	0.001
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.001	0.999	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.999	0.001
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.000	0.999	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.001	0.999	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.999	0.001
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.001	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	0.999	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	0.999	0.001
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	0.999	0.001
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	0.999	0.001
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	0.999	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	0.999	0.001
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	0.999	0.001
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
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rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	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
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	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
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	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
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	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
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	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
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	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
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	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

0.9500

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.9376

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2120

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2062

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1768

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9985

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9977

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9967

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9960

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9926

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9908

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9833

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9803

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9786

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9744

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9716

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9698

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9631

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9610

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9602

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9545

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9528

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9497

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9471

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9461

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9447

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.9359

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9280

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9131

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9019

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8831

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8715

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8684

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8612

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8598

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8596

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8551

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8439

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8227

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8175

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8164

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8156

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8139

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7993

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7781

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7718

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7686

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7684

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7508

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7451

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7411

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7282

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7172

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7059

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6801

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6748

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6732

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6694

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6656

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6598

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6583

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6575

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6368

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6202

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6166

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6101

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6020

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5919

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5917

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5868

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5861

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5637

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5621

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5559

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5498

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5224

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5196

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5176

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5060

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4944

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4858

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4823

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4656

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4591

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4525

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4510

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4429

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4410

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4347

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4329

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4326

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4310

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4290

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4225

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4201

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4142

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3987

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3903

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3484

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3293

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2884

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2853

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2785

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2773

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2757

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2740

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2708

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2694

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2567

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2493

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2479

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2459

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2393

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2323

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2261

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2161

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2149

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2093

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1957

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1936

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1923

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1920

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1914

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1881

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1873

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1856

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1845

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1839

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1764

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1759

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1705

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1672

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1509

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1445

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1413

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1407

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1384

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1375

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.1312

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1259

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

0.1207

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1170

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1112

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1103

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1087

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1075

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1050

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1028

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0970

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0882

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.0880

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0860

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0823

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0778

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0769

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0748

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0737

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0713

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0693

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0691

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0689

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0644

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.0641

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0634

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0560

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0557

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0525

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.0523

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`)