TreeWAS – [D36.7] Other specified sites

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
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.796	0.204	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.742	0.258	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.707	0.293	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.560	0.439	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.446	0.554	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.422	0.578	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.420	0.580	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.381	0.618	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.379	0.621	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.369	0.631	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.349	0.651	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.336	0.663	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.320	0.680	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.286	0.714	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.265	0.734	0.001
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.263	0.736	0.001
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.253	0.747	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.242	0.758	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.183	0.816	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.178	0.821	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.175	0.824	0.001
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.153	0.847	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.152	0.848	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.150	0.850	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.127	0.873	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.107	0.893	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.088	0.911	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.065	0.934	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.057	0.943	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.045	0.954	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.045	0.955	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.044	0.955	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.039	0.959	0.003
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.039	0.961	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.039	0.961	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.039	0.961	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.038	0.962	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.031	0.969	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.027	0.973	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.025	0.975	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.024	0.975	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.024	0.976	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.024	0.976	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.014	0.986	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.013	0.986	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.013	0.987	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.001	0.987	0.012
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.011	0.988	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.011	0.989	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.011	0.989	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.009	0.990	0.001
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.010	0.990	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.009	0.991	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	0.991	0.009
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.008	0.992	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.007	0.992	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.007	0.992	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.006	0.994	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.006	0.994	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.006	0.994	0.001
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.005	0.994	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.006	0.994	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.005	0.994	0.001
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.005	0.995	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	0.995	0.005
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.005	0.995	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.004	0.995	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.004	0.996	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.003	0.996	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.003	0.997	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.003	0.997	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.002	0.997	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.003	0.997	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.002	0.997	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.998	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.002	0.998	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.002	0.998	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	0.998	0.002
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.002	0.998	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.001	0.998	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.001	0.998	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.001	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.001	0.999	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.001	0.999	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	0.999	0.001
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.001	0.999	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.001	0.999	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.001
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.001	0.999	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	0.999	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	0.999	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.999	0.001
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	0.999	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	0.999	0.001
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	0.999	0.001
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.001	0.999	0.000
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	0.999	0.001
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	0.999	0.001
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.001	0.999	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	0.999	0.001
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	0.999	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.001	0.999	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.999	0.001
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.001	0.999	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.001	0.999	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	0.999	0.001
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.001	0.999	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.001	0.999	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs228916 lBF = `-0.0565967` Chr`22` : `37,505,552`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs6151429 lBF = `-0.0226657` Chr`22` : `51,063,477`	0.000	0.999	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.001	0.999	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.001	0.999	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.001	0.999	0.000
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.001	0.999	0.000
rs17001868 lBF = `1.8285` Chr`22` : `40,778,231`	0.001	0.999	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.000	0.999	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	0.999	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.001	0.999	0.000
rs739031 lBF = `0.0310772` Chr`22` : `37,208,149`	0.000	0.999	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	0.999	0.001
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	0.999	0.001
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	0.999	0.001
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	0.999	0.001
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	0.999	0.000
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.000	0.999	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.001	0.999	0.000
rs4820255 lBF = `0.00867412` Chr`22` : `37,209,296`	0.000	0.999	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.000
rs4253772 lBF = `0.312741` Chr`22` : `46,627,603`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.000	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	0.999	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.000	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	0.999	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	0.999	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	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
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs130575 lBF = `-0.0397782` Chr`22` : `34,859,793`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	1.000	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	1.000	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	1.000	0.000
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rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.000	1.000	0.000
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	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
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	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
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
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
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	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
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.000	1.000	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	1.000	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	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
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	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
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.5699

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1082

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9865

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9847

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9784

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9734

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9710

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9675

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9499

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9419

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9304

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9112

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8847

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8576

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8553

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8462

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8447

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8356

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8323

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8313

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8260

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8214

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8214

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8169

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8072

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8058

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8031

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7806

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7735

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7733

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7649

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7608

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7571

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7320

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7277

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7216

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7212

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7085

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7074

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6967

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6957

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6937

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6860

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6758

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6705

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6615

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6551

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6536

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6533

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6524

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6430

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6353

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6317

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6256

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6167

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6111

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6087

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6021

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5990

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5846

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5807

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5710

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5513

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5511

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5485

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5471

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5465

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5334

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5304

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5249

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5207

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5151

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5104

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4876

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4800

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4789

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4702

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4640

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4637

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4566

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4519

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4463

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4321

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4192

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4147

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4037

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3989

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3863

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3831

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3780

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3765

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3748

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3528

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3482

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3460

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3387

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3311

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3164

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2996

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2952

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2714

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2661

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2319

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2303

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2247

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2091

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2072

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2007

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1967

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1908

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1856

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1730

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1689

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1682

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1678

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1588

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.1573

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1572

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1527

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1465

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1422

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1408

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1312

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1283

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1275

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1035

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0980

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0956

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0867

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0801

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0759

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0647

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0599

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0503

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`)