TreeWAS – [Z48.9] Surgical follow-up care, unspecified

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
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.691	0.309	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.609	0.391	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.573	0.427	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.559	0.441	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.547	0.453	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.544	0.456	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.524	0.476	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.520	0.480	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.509	0.491	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.502	0.498	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.485	0.515	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.481	0.519	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.474	0.526	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.466	0.534	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.424	0.576	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.405	0.595	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.358	0.642	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.346	0.654	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.341	0.659	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.333	0.667	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.323	0.676	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.320	0.680	0.001
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.302	0.698	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.285	0.715	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.281	0.718	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.273	0.727	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.272	0.728	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.250	0.750	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.242	0.758	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.224	0.776	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.200	0.800	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.185	0.815	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.175	0.825	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.166	0.834	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.156	0.844	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.149	0.851	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.147	0.853	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.135	0.865	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.130	0.869	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.112	0.888	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.084	0.915	0.001
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.080	0.920	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.079	0.921	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.078	0.922	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.076	0.924	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.069	0.931	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.059	0.940	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.057	0.942	0.001
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.042	0.957	0.001
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.043	0.957	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.039	0.961	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.036	0.964	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.034	0.966	0.000
rs1126510 lBF = `-0.0566693` Chr`19` : `47,123,783`	0.000	0.972	0.028
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.977	0.023
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.021	0.979	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.019	0.981	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.019	0.981	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.019	0.981	0.000
rs740495 lBF = `2.60832` Chr`19` : `1,124,835`	0.018	0.982	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.017	0.983	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.015	0.985	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.013	0.987	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.012	0.988	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.012	0.988	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.012	0.988	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.010	0.990	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.009	0.991	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.009	0.991	0.000
rs11083840 lBF = `-0.0115573` Chr`19` : `47,119,910`	0.000	0.991	0.009
rs8111500 lBF = `-0.0814552` Chr`19` : `49,152,955`	0.000	0.992	0.008
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.007	0.993	0.000
rs4081724 lBF = `-0.0510164` Chr`19` : `33,824,946`	0.000	0.993	0.007
rs10425738 lBF = `0.900321` Chr`19` : `41,417,727`	0.006	0.994	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.006	0.994	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.004	0.994	0.002
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.006	0.994	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.005	0.995	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.005	0.995	0.000
rs874628 lBF = `-0.0124927` Chr`19` : `18,304,700`	0.004	0.995	0.000
rs2288912 lBF = `-0.0276798` Chr`19` : `45,449,199`	0.000	0.996	0.004
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.004	0.996	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.004	0.996	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.004	0.996	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.003	0.997	0.000
rs1035942 lBF = `0.182878` Chr`19` : `7,199,803`	0.003	0.997	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.003	0.997	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.003	0.997	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.003	0.997	0.000
rs10406174 lBF = `-0.0446399` Chr`19` : `3,944,240`	0.003	0.997	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.002	0.997	0.000
rs2024092 lBF = `2.7894` Chr`19` : `1,124,031`	0.002	0.998	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.002	0.998	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.002	0.998	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.002	0.998	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.002	0.998	0.000
rs2059807 lBF = `-0.0626248` Chr`19` : `7,166,109`	0.000	0.998	0.002
rs7249142 lBF = `0.0442277` Chr`19` : `19,276,359`	0.000	0.998	0.002
rs11666579 lBF = `-0.0504819` Chr`19` : `17,590,281`	0.000	0.998	0.002
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.002	0.998	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.002	0.998	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.002	0.998	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.002	0.998	0.000
rs2306969 lBF = `-0.00598812` Chr`19` : `5,851,801`	0.002	0.998	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.002	0.998	0.000
rs3745567 lBF = `-0.0219734` Chr`19` : `6,690,771`	0.000	0.998	0.002
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.002	0.998	0.000
rs7255066 lBF = `-0.0503042` Chr`19` : `45,146,103`	0.000	0.998	0.002
rs3764650 lBF = `0.0623183` Chr`19` : `1,046,520`	0.002	0.998	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.002	0.998	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.001	0.998	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.001	0.999	0.000
rs11084753 lBF = `0.62437` Chr`19` : `34,322,137`	0.000	0.999	0.001
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.001	0.999	0.001
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.001	0.999	0.000
rs2287838 lBF = `0.24255` Chr`19` : `9,959,014`	0.000	0.999	0.001
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	0.999	0.001
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.001	0.999	0.000
rs296396 lBF = `17.975` Chr`19` : `48,365,523`	0.001	0.999	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.001	0.999	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.001	0.999	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.000	0.999	0.001
rs12984174 lBF = `-0.0292608` Chr`19` : `18,132,540`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.001	0.999	0.000
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.001	0.999	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs3787069 lBF = `-0.0164815` Chr`19` : `6,221,887`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs2232063 lBF = `0.54636` Chr`19` : `10,196,350`	0.000	0.999	0.001
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.001	0.999	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.000	0.999	0.001
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	0.999	0.001
rs2075710 lBF = `6.70349` Chr`19` : `1,106,845`	0.001	0.999	0.000
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
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs62120679 lBF = `-0.094695` Chr`19` : `2,363,319`	0.000	0.999	0.001
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.001	0.999	0.000
rs296381 lBF = `18.0942` Chr`19` : `48,371,102`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.001	0.999	0.000
rs1654584 lBF = `-0.0255223` Chr`19` : `3,970,683`	0.000	0.999	0.001
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	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
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	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
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.001
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.001	0.999	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.001	0.999	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.001	0.999	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.000	0.999	0.001
rs296390 lBF = `16.7741` Chr`19` : `48,368,777`	0.000	0.999	0.001
rs433852 lBF = `0.473792` Chr`19` : `49,117,104`	0.001	0.999	0.000
rs995834 lBF = `-0.0854908` Chr`19` : `28,866,596`	0.000	0.999	0.001
rs7595 lBF = `-0.0898956` Chr`19` : `54,697,079`	0.001	0.999	0.000
rs231227 lBF = `-0.100915` Chr`19` : `36,268,067`	0.001	0.999	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.001	0.999	0.000
rs56052703 lBF = `-0.0402063` Chr`19` : `13,432,940`	0.001	0.999	0.000
rs10500264 lBF = `0.080598` Chr`19` : `33,750,314`	0.001	0.999	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.001	0.999	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.001	0.999	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.001	0.999	0.000
rs3745760 lBF = `-0.00216526` Chr`19` : `48,205,725`	0.001	0.999	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.001	0.999	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.001	0.999	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.001	0.999	0.000
rs2017387 lBF = `-0.0361363` Chr`19` : `50,568,573`	0.000	0.999	0.001
rs2547231 lBF = `18.6779` Chr`19` : `48,385,057`	0.000	0.999	0.000
rs1434579 lBF = `-0.0763562` Chr`19` : `44,932,972`	0.000	0.999	0.001
rs2115386 lBF = `-0.0851218` Chr`19` : `7,196,565`	0.001	0.999	0.000
rs10403021 lBF = `-0.0686319` Chr`19` : `30,079,604`	0.001	0.999	0.000
rs6508941 lBF = `0.664334` Chr`19` : `41,015,965`	0.000	0.999	0.001
rs1051738 lBF = `0.448887` Chr`19` : `10,577,843`	0.000	0.999	0.001
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.001	0.999	0.000
rs10426201 lBF = `18.1128` Chr`19` : `48,384,749`	0.000	0.999	0.001
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.000	0.999	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.001	0.999	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	0.999	0.001
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.001	0.999	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.001	0.999	0.000
rs78015699 lBF = `-0.00079808` Chr`19` : `18,487,667`	0.000	0.999	0.001
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rs1126757 lBF = `0.286379` Chr`19` : `55,879,872`	0.000	1.000	0.000
rs187568415 lBF = `-0.018983` Chr`19` : `11,734,626`	0.000	1.000	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs4802666 lBF = `-0.0302537` Chr`19` : `50,721,074`	0.000	1.000	0.000
rs3116139 lBF = `-0.0815748` Chr`19` : `51,879,034`	0.000	1.000	0.000
rs281408 lBF = `7.54572` Chr`19` : `49,233,406`	0.000	1.000	0.000
Affx-52359426 lBF = `5.92329` Chr`19` : `49,244,218`	0.000	1.000	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.000	1.000	0.000
rs652260 lBF = `2.55566` Chr`19` : `7,900,562`	0.000	1.000	0.000
rs17513613 lBF = `0.107031` Chr`19` : `30,286,822`	0.000	1.000	0.000
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.000	1.000	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.000	1.000	0.000
rs11083475 lBF = `0.0471047` Chr`19` : `39,188,112`	0.000	1.000	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.000	1.000	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.000	1.000	0.000
rs5498 lBF = `-0.00771433` Chr`19` : `10,395,683`	0.000	1.000	0.000
rs166988 lBF = `-0.0323303` Chr`19` : `34,333,914`	0.000	1.000	0.000
rs7254215 lBF = `-0.0485001` Chr`19` : `14,713,493`	0.000	1.000	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.000	1.000	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.000	1.000	0.000
rs157580 lBF = `46.2551` Chr`19` : `45,395,266`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs2965169 lBF = `5.30117` Chr`19` : `45,251,156`	0.000	1.000	0.000
rs2303759 lBF = `0.409506` Chr`19` : `49,869,051`	0.000	1.000	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.000	1.000	0.000
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.000	1.000	0.000
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.000	1.000	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.000	1.000	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.000	1.000	0.000
rs1688043 lBF = `0.0619284` Chr`19` : `35,553,341`	0.000	1.000	0.000
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.000	1.000	0.000
rs7260598 lBF = `0.00277552` Chr`19` : `24,222,786`	0.000	1.000	0.000
rs3803915 lBF = `-0.00117709` Chr`19` : `2,160,529`	0.000	1.000	0.000
rs12461110 lBF = `-0.0406045` Chr`19` : `56,320,663`	0.000	1.000	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.000	1.000	0.000
rs12986207 lBF = `-0.049548` Chr`19` : `29,903,677`	0.000	1.000	0.000
rs29941 lBF = `-0.0501111` Chr`19` : `34,309,532`	0.000	1.000	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.000	1.000	0.000
rs2735839 lBF = `18.4411` Chr`19` : `51,364,623`	0.000	1.000	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	1.000	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.000	1.000	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.000	1.000	0.000
rs10416265 lBF = `2.36744` Chr`19` : `33,605,300`	0.000	1.000	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs11880198 lBF = `0.0722884` Chr`19` : `3,159,769`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs1975174 lBF = `0.015547` Chr`19` : `22,515,251`	0.000	1.000	0.000
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	0.000	1.000	0.000
rs103294 lBF = `-0.00760096` Chr`19` : `54,797,848`	0.000	1.000	0.000
rs12460584 lBF = `-0.0326852` Chr`19` : `51,186,081`	0.000	1.000	0.000
rs7249887 lBF = `-0.0333678` Chr`19` : `31,849,368`	0.000	1.000	0.000
rs12052157 lBF = `-0.0391384` Chr`19` : `56,598,123`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs450937 lBF = `-0.0496953` Chr`19` : `54,781,541`	0.000	1.000	0.000
rs386000 lBF = `-0.0508419` Chr`19` : `54,792,761`	0.000	1.000	0.000
rs17879437 lBF = `-0.0635192` Chr`19` : `36,642,884`	0.000	1.000	0.000
rs7260329 lBF = `-0.0683905` Chr`19` : `41,521,638`	0.000	1.000	0.000
rs2279008 lBF = `-0.0806357` Chr`19` : `17,283,303`	0.000	1.000	0.000
rs113029345 lBF = `-0.0875516` Chr`19` : `41,370,176`	0.000	1.000	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.000	1.000	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.000	1.000	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.000	1.000	0.000
rs12975033 lBF = `7.07797` Chr`19` : `49,249,443`	0.000	1.000	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.000	1.000	0.000
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.000	1.000	0.000
rs8012 lBF = `0.224737` Chr`19` : `13,010,520`	0.000	1.000	0.000
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs2576452 lBF = `0.0902556` Chr`19` : `54,676,433`	0.000	1.000	0.000
rs349045 lBF = `0.0415396` Chr`19` : `44,299,892`	0.000	1.000	0.000
rs16984547 lBF = `0.0285196` Chr`19` : `53,682,042`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	1.000	0.000
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	1.000	0.000
rs889122 lBF = `-0.00912507` Chr`19` : `9,995,867`	0.000	1.000	0.000
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	1.000	0.000
rs11083846 lBF = `-0.0278177` Chr`19` : `47,207,654`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs8105815 lBF = `-0.0363676` Chr`19` : `41,673,848`	0.000	1.000	0.000
rs254262 lBF = `-0.0418109` Chr`19` : `54,612,628`	0.000	1.000	0.000
rs2061333 lBF = `-0.0464539` Chr`19` : `44,614,208`	0.000	1.000	0.000
rs11668344 lBF = `-0.0666664` Chr`19` : `55,833,664`	0.000	1.000	0.000
rs281437 lBF = `-0.1042` Chr`19` : `10,397,238`	0.000	1.000	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.000	1.000	0.000
rs838133 lBF = `14.0415` Chr`19` : `49,259,529`	0.000	1.000	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	1.000	0.000
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.000	1.000	0.000
rs12162222 lBF = `6.89005` Chr`19` : `45,348,522`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6547

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4610

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9909

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9637

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9626

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9199

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9187

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8978

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8828

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8771

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8765

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8542

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8166

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7933

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7890

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7873

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7610

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7520

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7362

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7288

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7212

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7080

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7028

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6420

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6017

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5893

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5649

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5612

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5505

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5414

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5412

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5297

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4950

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4789

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4518

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4478

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4330

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4243

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4156

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4120

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4055

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3794

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3693

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3662

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3627

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3524

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3329

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3199

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3158

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3146

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3117

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2928

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2777

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2709

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2615

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2558

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2479

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2094

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2073

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2024

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1960

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1900

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1750

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1684

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1668

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1631

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1519

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1486

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1393

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1363

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1305

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1277

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1261

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1258

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1203

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1193

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1134

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1131

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1082

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1075

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1050

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1025

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1012

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0996

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0986

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0896

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0888

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0886

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0751

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0741

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0737

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0696

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0681

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0641

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.0622

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0510

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0505

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0500

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`)