TreeWAS – [R81] Glycosuria

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
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.793	0.207	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.758	0.242	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.694	0.306	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.658	0.342	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.635	0.365	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.630	0.370	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.621	0.379	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.620	0.380	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.617	0.382	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.609	0.390	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.609	0.391	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.603	0.397	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.595	0.405	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.578	0.422	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.574	0.426	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.563	0.437	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.562	0.438	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.558	0.442	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.550	0.449	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.534	0.466	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.525	0.475	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.519	0.481	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.517	0.483	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.514	0.485	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.514	0.486	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.514	0.486	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.512	0.488	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.507	0.493	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.499	0.501	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.496	0.504	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.492	0.508	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.486	0.514	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.459	0.541	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.455	0.544	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.452	0.548	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.446	0.554	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.437	0.563	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.430	0.569	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.423	0.576	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.389	0.611	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.374	0.626	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.356	0.644	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.352	0.648	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.349	0.651	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.347	0.652	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.338	0.662	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.328	0.672	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.314	0.686	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.313	0.686	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.305	0.695	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.293	0.707	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.283	0.717	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.277	0.723	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.264	0.736	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.256	0.743	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.245	0.755	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.239	0.761	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.218	0.781	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.216	0.784	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.213	0.787	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.204	0.796	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.194	0.806	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.187	0.813	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.125	0.875	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.116	0.883	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.113	0.887	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.111	0.888	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.108	0.892	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.103	0.897	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.087	0.913	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.082	0.917	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.079	0.921	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.067	0.932	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.063	0.937	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.060	0.940	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.060	0.940	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.057	0.943	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.055	0.945	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.055	0.945	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.043	0.957	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.035	0.965	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.033	0.967	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.031	0.968	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.031	0.969	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.030	0.969	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.027	0.972	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.023	0.977	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.023	0.977	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.022	0.978	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.018	0.982	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.015	0.985	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.015	0.985	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.986	0.014
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.012	0.987	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.012	0.988	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.011	0.989	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.010	0.989	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.010	0.990	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.007	0.992	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.007	0.993	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.007	0.993	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.006	0.994	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.005	0.995	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.005	0.995	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.003	0.997	0.000
rs2024092 lBF = `2.7894` Chr`19` : `1,124,031`	0.003	0.997	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.003	0.997	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.002	0.998	0.000
rs10412972 lBF = `-0.0458903` Chr`19` : `52,154,905`	0.000	0.998	0.002
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.002	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.002	0.998	0.000
rs740495 lBF = `2.60832` Chr`19` : `1,124,835`	0.002	0.998	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.001	0.998	0.000
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.001	0.998	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.002	0.998	0.000
rs2287019 lBF = `1.69038` Chr`19` : `46,202,172`	0.001	0.998	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.001	0.998	0.001
rs17318596 lBF = `-0.0555985` Chr`19` : `41,937,095`	0.000	0.998	0.002
rs4803468 lBF = `0.0184794` Chr`19` : `41,922,352`	0.002	0.998	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.998	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.001	0.999	0.000
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	0.999	0.001
rs2059807 lBF = `-0.0626248` Chr`19` : `7,166,109`	0.000	0.999	0.001
rs183353539 lBF = `-0.0422568` Chr`19` : `6,992,244`	0.000	0.999	0.001
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs889122 lBF = `-0.00912507` Chr`19` : `9,995,867`	0.001	0.999	0.000
rs3181842 lBF = `-0.0779173` Chr`19` : `41,523,016`	0.001	0.999	0.000
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs4808136 lBF = `-0.0044349` Chr`19` : `18,618,867`	0.000	0.999	0.001
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.000	0.999	0.001
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.000	0.999	0.001
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs8170 lBF = `0.54398` Chr`19` : `17,389,704`	0.000	0.999	0.001
rs2280401 lBF = `0.0332437` Chr`19` : `50,000,009`	0.001	0.999	0.000
rs7259004 lBF = `0.00656928` Chr`19` : `45,432,557`	0.001	0.999	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.000	0.999	0.001
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	0.999	0.001
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs1688043 lBF = `0.0619284` Chr`19` : `35,553,341`	0.001	0.999	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.001	0.999	0.000
rs1975174 lBF = `0.015547` Chr`19` : `22,515,251`	0.000	0.999	0.001
rs281437 lBF = `-0.1042` Chr`19` : `10,397,238`	0.000	0.999	0.001
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.000	0.999	0.001
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs759819 lBF = `-0.0534983` Chr`19` : `54,815,577`	0.000	0.999	0.001
rs11669133 lBF = `0.390843` Chr`19` : `11,092,139`	0.000	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs7507204 lBF = `-0.0354556` Chr`19` : `3,428,834`	0.001	0.999	0.000
rs2546057 lBF = `-0.0933029` Chr`19` : `34,320,854`	0.001	0.999	0.000
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.000	0.999	0.000
rs4808801 lBF = `-0.0174961` Chr`19` : `18,571,141`	0.000	0.999	0.001
rs2075710 lBF = `6.70349` Chr`19` : `1,106,845`	0.001	0.999	0.000
rs10038 lBF = `-0.0708724` Chr`19` : `18,892,728`	0.001	0.999	0.000
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.000	0.999	0.001
rs11669592 lBF = `-0.0375247` Chr`19` : `3,318,510`	0.000	0.999	0.001
rs746961 lBF = `-0.0666257` Chr`19` : `31,099,890`	0.000	0.999	0.001
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.001	0.999	0.000
rs1865075 lBF = `-0.0727677` Chr`19` : `22,554,854`	0.000	0.999	0.001
rs10404998 lBF = `-0.0733092` Chr`19` : `22,608,374`	0.001	0.999	0.000
rs2074977 lBF = `-0.10901` Chr`19` : `3,434,028`	0.001	0.999	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.001	0.999	0.000
rs7247513 lBF = `0.00897879` Chr`19` : `12,691,185`	0.000	0.999	0.001
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.000	0.999	0.000
rs72480748 lBF = `0.426605` Chr`19` : `41,414,481`	0.000	0.999	0.001
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.001	0.999	0.000
rs76935404 lBF = `0.66433` Chr`19` : `41,419,294`	0.000	0.999	0.001
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	0.999	0.001
rs4147929 lBF = `0.111207` Chr`19` : `1,063,443`	0.000	0.999	0.001
rs4803480 lBF = `-0.0591784` Chr`19` : `42,066,279`	0.001	0.999	0.000
rs1363326 lBF = `-0.0828841` Chr`19` : `29,325,650`	0.000	0.999	0.001
rs3752246 lBF = `0.127829` Chr`19` : `1,056,492`	0.000	0.999	0.001
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.000	0.999	0.001
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.001	0.999	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	0.999	0.001
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.000	0.999	0.000
rs11672691 lBF = `0.195642` Chr`19` : `41,985,587`	0.001	0.999	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.001	0.999	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.001	0.999	0.000
rs10414410 lBF = `-0.0561404` Chr`19` : `30,086,007`	0.001	0.999	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.001	0.999	0.000
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rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.000	1.000	0.000
rs7339483 lBF = `0.468308` Chr`19` : `24,462,409`	0.000	1.000	0.000
rs1051738 lBF = `0.448887` Chr`19` : `10,577,843`	0.000	1.000	0.000
rs2116940 lBF = `0.15479` Chr`19` : `10,310,392`	0.000	1.000	0.000
rs2303745 lBF = `0.153752` Chr`19` : `17,420,289`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.000	1.000	0.000
rs2306969 lBF = `-0.00598812` Chr`19` : `5,851,801`	0.000	1.000	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs4081724 lBF = `-0.0510164` Chr`19` : `33,824,946`	0.000	1.000	0.000
rs28493229 lBF = `-0.0547884` Chr`19` : `41,224,204`	0.000	1.000	0.000
rs7250872 lBF = `-0.0733468` Chr`19` : `1,811,603`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.000	1.000	0.000
rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.000	1.000	0.000
rs296381 lBF = `18.0942` Chr`19` : `48,371,102`	0.000	1.000	0.000
rs296390 lBF = `16.7741` Chr`19` : `48,368,777`	0.000	1.000	0.000
rs7253117 lBF = `8.58485` Chr`19` : `17,844,894`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs139806220 lBF = `1.3495` Chr`19` : `55,161,522`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.000	1.000	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	1.000	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	1.000	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.000	1.000	0.000
rs874628 lBF = `-0.0124927` Chr`19` : `18,304,700`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs11083846 lBF = `-0.0278177` Chr`19` : `47,207,654`	0.000	1.000	0.000
rs12610250 lBF = `-0.0556392` Chr`19` : `8,277,713`	0.000	1.000	0.000
rs270776 lBF = `-0.0753872` Chr`19` : `55,222,807`	0.000	1.000	0.000
rs7254232 lBF = `-0.11344` Chr`19` : `47,796,800`	0.000	1.000	0.000
rs6510725 lBF = `-0.128862` Chr`19` : `348,743`	0.000	1.000	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.000	1.000	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.000	1.000	0.000
rs1529729 lBF = `12.5024` Chr`19` : `11,163,562`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	1.000	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.000	1.000	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.000	1.000	0.000
rs2241718 lBF = `5.00712` Chr`19` : `41,829,606`	0.000	1.000	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.000	1.000	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.000	1.000	0.000
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.000	1.000	0.000
rs10416218 lBF = `2.47638` Chr`19` : `33,599,127`	0.000	1.000	0.000
rs10416265 lBF = `2.36744` Chr`19` : `33,605,300`	0.000	1.000	0.000
rs16966122 lBF = `0.219204` Chr`19` : `32,158,464`	0.000	1.000	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.000	1.000	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.000	1.000	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.000	1.000	0.000
rs16984547 lBF = `0.0285196` Chr`19` : `53,682,042`	0.000	1.000	0.000
rs3745760 lBF = `-0.00216526` Chr`19` : `48,205,725`	0.000	1.000	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	1.000	0.000
rs1529711 lBF = `-0.0232612` Chr`19` : `11,023,434`	0.000	1.000	0.000
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.000	1.000	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.000	1.000	0.000
rs2233152 lBF = `-0.0399253` Chr`19` : `41,281,016`	0.000	1.000	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs2163813 lBF = `-0.0532197` Chr`19` : `19,829,101`	0.000	1.000	0.000
rs2159324 lBF = `-0.0599342` Chr`19` : `45,695,738`	0.000	1.000	0.000
rs2053079 lBF = `-0.0638174` Chr`19` : `30,987,423`	0.000	1.000	0.000
rs10425935 lBF = `-0.076983` Chr`19` : `29,908,107`	0.000	1.000	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.000	1.000	0.000
rs7260598 lBF = `0.00277552` Chr`19` : `24,222,786`	0.000	1.000	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	1.000	0.000
rs9304861 lBF = `-0.0337126` Chr`19` : `35,271,888`	0.000	1.000	0.000
rs386000 lBF = `-0.0508419` Chr`19` : `54,792,761`	0.000	1.000	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	1.000	0.000
rs8103033 lBF = `-0.0796591` Chr`19` : `40,170,053`	0.000	1.000	0.000
rs2115386 lBF = `-0.0851218` Chr`19` : `7,196,565`	0.000	1.000	0.000
rs1160985 lBF = `12.3497` Chr`19` : `45,403,412`	0.000	1.000	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	1.000	0.000
rs45446093 lBF = `6.24022` Chr`19` : `54,756,155`	0.000	1.000	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs8108269 lBF = `1.58458` Chr`19` : `46,158,513`	0.000	1.000	0.000
rs731839 lBF = `1.27774` Chr`19` : `33,899,065`	0.000	1.000	0.000
rs8105265 lBF = `0.0722344` Chr`19` : `2,920,705`	0.000	1.000	0.000
rs2011503 lBF = `0.0609698` Chr`19` : `19,443,986`	0.000	1.000	0.000
rs741702 lBF = `0.0544306` Chr`19` : `13,024,250`	0.000	1.000	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.000	1.000	0.000
rs2301659 lBF = `0.0306604` Chr`19` : `19,035,354`	0.000	1.000	0.000
rs7246657 lBF = `0.0297095` Chr`19` : `37,747,108`	0.000	1.000	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	1.000	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	1.000	0.000
rs4805834 lBF = `-0.00252529` Chr`19` : `33,453,659`	0.000	1.000	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	1.000	0.000
rs3745567 lBF = `-0.0219734` Chr`19` : `6,690,771`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs11085824 lBF = `-0.0467481` Chr`19` : `13,001,547`	0.000	1.000	0.000
rs12610495 lBF = `-0.0868982` Chr`19` : `4,717,672`	0.000	1.000	0.000
rs231227 lBF = `-0.100915` Chr`19` : `36,268,067`	0.000	1.000	0.000

This table lists the top 500 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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4055

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3969

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0502

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9921

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9787

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9643

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9637

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9605

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9586

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9553

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9522

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9467

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9427

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9418

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9333

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9328

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9295

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9245

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9239

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9199

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9185

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9166

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9118

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9115

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9103

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9066

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9030

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9007

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8986

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8906

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8882

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8858

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8840

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8803

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8786

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8775

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8753

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8727

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8715

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8714

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8699

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8674

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8624

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8605

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8593

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8580

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8571

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8541

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8533

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8527

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8494

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8344

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8331

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8325

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8310

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8249

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8248

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8163

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8149

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8142

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8129

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8118

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8069

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8038

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8017

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7963

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7924

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7923

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7917

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7775

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7703

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7655

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7644

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7585

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7566

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7505

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7470

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7395

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7392

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7336

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7316

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7314

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7313

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7312

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7305

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7292

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7268

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7262

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7223

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7124

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7124

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7106

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7026

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7012

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6988

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6954

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6938

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6824

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6819

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6818

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6814

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6794

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6793

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6738

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6728

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6658

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6654

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6654

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6637

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6597

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6562

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6506

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6489

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6399

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6374

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6350

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6279

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6234

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6192

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6095

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6079

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6002

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5981

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5911

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5863

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5847

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5827

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5805

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5660

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5625

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5554

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5340

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5336

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.5329

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5138

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5131

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5093

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5070

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4842

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4805

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4321

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4277

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4266

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4213

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4205

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4133

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3770

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3572

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3535

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3408

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3075

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2960

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2057

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1699

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1521

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1441

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1284

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1156

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1084

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1068

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1061

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0831

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0741

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0704

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0652

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0641

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0618

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0587

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0565

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0525

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0522

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`)