TreeWAS – [K90.8] Other intestinal malabsorption

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
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.518	0.482	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.504	0.496	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.473	0.527	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.462	0.538	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.454	0.546	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.433	0.567	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.430	0.570	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.423	0.576	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.419	0.581	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.391	0.609	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.387	0.613	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.373	0.627	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.344	0.656	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.339	0.661	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.326	0.674	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.307	0.693	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.301	0.698	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.278	0.722	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.270	0.730	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.268	0.732	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.263	0.736	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.262	0.738	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.256	0.744	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.232	0.768	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.226	0.774	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.200	0.800	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.184	0.815	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.177	0.823	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.164	0.836	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.156	0.843	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.154	0.846	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.139	0.861	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.124	0.875	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.118	0.882	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.102	0.898	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.087	0.913	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.080	0.920	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.065	0.934	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.065	0.935	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.058	0.941	0.001
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.049	0.951	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.046	0.954	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.044	0.956	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.043	0.956	0.001
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.037	0.963	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.033	0.967	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.031	0.968	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.028	0.972	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.024	0.976	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.023	0.977	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.018	0.982	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.015	0.984	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.012	0.988	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.011	0.989	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.010	0.990	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.009	0.990	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.009	0.991	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.008	0.991	0.001
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.008	0.991	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.008	0.992	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.007	0.993	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.000	0.993	0.007
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.006	0.994	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.994	0.005
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.005	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.996	0.002
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.004	0.996	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.996	0.003
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.003	0.996	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.003	0.996	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.003	0.997	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	0.997	0.003
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.003	0.997	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	0.997	0.003
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.002	0.998	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.998	0.002
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.002	0.998	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.001	0.998	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.001	0.998	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.001	0.998	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	0.999	0.001
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.001	0.999	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	0.999	0.001
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.001	0.999	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.001	0.999	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.000	0.999	0.001
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.001	0.999	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.999	0.001
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.000	0.999	0.001
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	0.999	0.001
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	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
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.999	0.001
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	0.999	0.001
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.001	0.999	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.000	0.999	0.001
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.000	0.999	0.001
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.001	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.000	0.999	0.001
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.001	0.999	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.000	0.999	0.000
rs13053505 lBF = `0.345698` Chr`22` : `39,245,618`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.001
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	0.999	0.001
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.001	0.999	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.001	0.999	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.001	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	0.999	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	0.999	0.001
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	0.999	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	0.999	0.001
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	0.999	0.001
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.000	0.999	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	0.999	0.001
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	0.999	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	0.999	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.999	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.000	0.999	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.000	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	0.999	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.000	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.000	0.999	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.000
rs139156 lBF = `-0.0467441` Chr`22` : `44,596,085`	0.000	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	0.999	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	0.999	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	0.999	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.999	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	0.999	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.000	0.999	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.000	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.999	0.000
rs144073979 lBF = `-0.0402635` Chr`22` : `18,886,814`	0.000	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	0.999	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.000	1.000	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
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rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs2186369 lBF = `-0.070956` Chr`22` : `24,170,996`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	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
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	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
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	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
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	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
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	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 X0281

log Bayes Factor = 108.466

contains 7 variants

0.3284

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.1512

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.0518

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7959

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7832

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7364

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7128

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7061

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7032

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6896

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6884

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6804

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6729

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6642

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6550

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6478

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6453

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6429

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6364

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6199

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6188

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6178

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5930

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5874

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5858

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5849

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5839

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5824

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5758

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5664

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5613

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5598

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5541

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5486

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5480

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5449

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5425

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5387

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5135

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5122

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5091

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5085

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4999

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4993

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4912

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4904

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4859

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4794

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4709

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4618

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4614

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4554

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4441

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4329

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4234

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4141

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4050

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3957

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3927

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3926

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3918

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3895

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3860

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3725

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3691

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3662

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3545

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3523

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3515

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3504

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3480

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3396

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3367

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3353

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3317

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3272

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3211

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3154

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3139

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3119

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2897

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2834

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2750

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2734

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2730

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2638

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2613

Cluster X0302

log Bayes Factor = 176.192

contains 4 variants

0.2610

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2455

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2384

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2369

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2325

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2324

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2296

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2233

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2230

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2223

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2137

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2125

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2079

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2030

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2010

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2008

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1996

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1964

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1957

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1947

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1842

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1840

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1739

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1683

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1638

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1563

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1527

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1464

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1457

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1437

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1436

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1312

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1291

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1227

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1194

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1181

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1099

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1089

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1084

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1076

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1074

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1001

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0997

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0976

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0949

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0940

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0937

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.0937

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0935

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0856

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0855

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0833

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0816

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0711

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0701

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0700

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0679

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0674

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0673

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0669

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0663

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0624

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0567

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0552

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0505

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`)