TreeWAS – [M25.58] Pain in joint (Other)

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
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.730	0.269	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.694	0.306	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.677	0.323	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.661	0.339	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.639	0.361	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.636	0.364	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.635	0.365	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.626	0.374	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.610	0.390	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.598	0.402	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.571	0.429	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.565	0.435	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.550	0.450	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.540	0.460	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.531	0.469	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.521	0.479	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.500	0.500	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.497	0.503	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.467	0.533	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.462	0.538	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.451	0.549	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.426	0.574	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.422	0.578	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.417	0.583	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.395	0.605	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.392	0.608	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.378	0.622	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.376	0.624	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.369	0.631	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.367	0.633	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.352	0.648	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.341	0.658	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.320	0.680	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.318	0.682	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.277	0.723	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.255	0.745	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.248	0.752	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.230	0.770	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.216	0.784	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.209	0.791	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.180	0.820	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.177	0.823	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.164	0.836	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.164	0.836	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.163	0.837	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.162	0.837	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.149	0.851	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.143	0.856	0.001
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.129	0.871	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.123	0.877	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.120	0.880	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.120	0.880	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.107	0.893	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.099	0.901	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.088	0.912	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.081	0.918	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.080	0.920	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.062	0.938	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.061	0.939	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.059	0.940	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.056	0.944	0.001
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.055	0.944	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.049	0.950	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.048	0.951	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.043	0.957	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.042	0.957	0.001
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.042	0.958	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.035	0.965	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.035	0.965	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.033	0.967	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.026	0.974	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.025	0.975	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.024	0.976	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.024	0.976	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.021	0.978	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.021	0.979	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.019	0.980	0.001
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.019	0.981	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.018	0.981	0.001
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.015	0.985	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.014	0.986	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.014	0.986	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.013	0.987	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.012	0.988	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.012	0.988	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.011	0.988	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.011	0.989	0.000
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.010	0.990	0.000
rs425283 lBF = `0.169582` Chr`19` : `55,171,748`	0.010	0.990	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.009	0.990	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.009	0.990	0.000
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.009	0.990	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.009	0.991	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.009	0.991	0.000
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.000	0.991	0.009
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.008	0.991	0.000
rs10411195 lBF = `-0.00755044` Chr`19` : `20,036,176`	0.007	0.992	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.005	0.993	0.002
rs3745672 lBF = `-0.0139143` Chr`19` : `12,146,370`	0.007	0.993	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.006	0.994	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.006	0.994	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.005	0.995	0.000
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	0.996	0.004
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.004	0.996	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.003	0.997	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.003	0.997	0.001
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.003	0.997	0.000
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.003	0.997	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.003	0.997	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.003	0.997	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.997	0.003
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.000	0.997	0.002
rs78015699 lBF = `-0.00079808` Chr`19` : `18,487,667`	0.002	0.997	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.002	0.998	0.000
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.000	0.998	0.002
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.000	0.998	0.002
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.002	0.998	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.002	0.998	0.000
rs117276938 lBF = `-0.0121093` Chr`19` : `49,576,802`	0.002	0.998	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.002	0.998	0.000
rs3745760 lBF = `-0.00216526` Chr`19` : `48,205,725`	0.002	0.998	0.000
rs74407240 lBF = `0.0434662` Chr`19` : `2,522,671`	0.002	0.998	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.001	0.998	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.001	0.998	0.000
rs10405744 lBF = `0.0101824` Chr`19` : `20,059,493`	0.001	0.998	0.000
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.999	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.001	0.999	0.000
rs519113 lBF = `-0.0527793` Chr`19` : `45,376,284`	0.001	0.999	0.000
rs72974768 lBF = `0.467852` Chr`19` : `3,435,545`	0.001	0.999	0.000
rs8102754 lBF = `-0.0804684` Chr`19` : `29,489,042`	0.000	0.999	0.001
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.001	0.999	0.000
rs1363326 lBF = `-0.0828841` Chr`19` : `29,325,650`	0.001	0.999	0.000
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	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
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs12459897 lBF = `-0.00660074` Chr`19` : `31,596,778`	0.001	0.999	0.000
rs2011503 lBF = `0.0609698` Chr`19` : `19,443,986`	0.001	0.999	0.000
rs7245858 lBF = `0.0903378` Chr`19` : `51,430,596`	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
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
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.001	0.999	0.000
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
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
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.000	0.999	0.001
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.001	0.999	0.000
rs8099917 lBF = `0.0629772` Chr`19` : `39,743,165`	0.001	0.999	0.000
rs2233152 lBF = `-0.0399253` Chr`19` : `41,281,016`	0.000	0.999	0.001
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.001	0.999	0.000
rs190086576 lBF = `-0.0140668` Chr`19` : `45,996,187`	0.001	0.999	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.001	0.999	0.000
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.000	0.999	0.001
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.001	0.999	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.001	0.999	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.001	0.999	0.000
rs144790747 lBF = `0.0347014` Chr`19` : `14,487,347`	0.000	0.999	0.001
rs139806220 lBF = `1.3495` Chr`19` : `55,161,522`	0.000	0.999	0.001
rs4808801 lBF = `-0.0174961` Chr`19` : `18,571,141`	0.000	0.999	0.001
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.001	0.999	0.000
rs12979860 lBF = `0.426585` Chr`19` : `39,738,787`	0.001	0.999	0.000
rs4142248 lBF = `0.0155676` Chr`19` : `44,888,276`	0.001	0.999	0.000
rs4805924 lBF = `-0.0160811` Chr`19` : `34,168,273`	0.001	0.999	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.000	0.999	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.001	0.999	0.000
rs7245708 lBF = `0.373925` Chr`19` : `46,195,756`	0.001	0.999	0.000
rs11559024 lBF = `0.0102457` Chr`19` : `45,821,183`	0.000	0.999	0.000
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.001	0.999	0.000
rs688187 lBF = `0.187022` Chr`19` : `39,732,752`	0.001	0.999	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.001	0.999	0.000
rs7249094 lBF = `-0.00980267` Chr`19` : `8,672,000`	0.000	0.999	0.001
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.001	0.999	0.000
rs10411619 lBF = `0.26895` Chr`19` : `12,752,425`	0.000	0.999	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.000	0.999	0.000
rs4808136 lBF = `-0.0044349` Chr`19` : `18,618,867`	0.000	0.999	0.001
rs1064395 lBF = `0.0337366` Chr`19` : `19,361,735`	0.000	0.999	0.001
rs11669592 lBF = `-0.0375247` Chr`19` : `3,318,510`	0.001	0.999	0.000
rs115436704 lBF = `0.372697` Chr`19` : `17,307,813`	0.000	0.999	0.000
rs8101143 lBF = `0.250278` Chr`19` : `21,956,136`	0.000	0.999	0.001
rs35976034 lBF = `9.67348` Chr`19` : `17,832,748`	0.000	0.999	0.001
rs12980275 lBF = `0.169983` Chr`19` : `39,731,783`	0.001	0.999	0.000
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rs2059807 lBF = `-0.0626248` Chr`19` : `7,166,109`	0.000	1.000	0.000
rs11668344 lBF = `-0.0666664` Chr`19` : `55,833,664`	0.000	1.000	0.000
rs274173 lBF = `-0.0678634` Chr`19` : `56,692,443`	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
rs2115386 lBF = `-0.0851218` Chr`19` : `7,196,565`	0.000	1.000	0.000
rs11084786 lBF = `-0.0864776` Chr`19` : `35,282,181`	0.000	1.000	0.000
rs7258249 lBF = `-0.0892357` Chr`19` : `8,271,721`	0.000	1.000	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.000	1.000	0.000
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	1.000	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	1.000	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.000	1.000	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	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
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	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
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.000	1.000	0.000
rs34645805 lBF = `5.04291` Chr`19` : `11,247,522`	0.000	1.000	0.000
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.000	1.000	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	1.000	0.000
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	1.000	0.000
rs652260 lBF = `2.55566` Chr`19` : `7,900,562`	0.000	1.000	0.000
rs6510827 lBF = `2.40129` Chr`19` : `4,830,628`	0.000	1.000	0.000
rs10416265 lBF = `2.36744` Chr`19` : `33,605,300`	0.000	1.000	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.000	1.000	0.000
rs2287019 lBF = `1.69038` Chr`19` : `46,202,172`	0.000	1.000	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	1.000	0.000
rs1671152 lBF = `0.496658` Chr`19` : `55,526,345`	0.000	1.000	0.000
rs6509942 lBF = `0.344033` Chr`19` : `30,554,951`	0.000	1.000	0.000
rs10423674 lBF = `0.226024` Chr`19` : `18,817,903`	0.000	1.000	0.000
rs3745516 lBF = `0.185966` Chr`19` : `50,926,742`	0.000	1.000	0.000
rs2303745 lBF = `0.153752` Chr`19` : `17,420,289`	0.000	1.000	0.000
rs2363956 lBF = `0.0988604` Chr`19` : `17,394,124`	0.000	1.000	0.000
rs8100241 lBF = `0.0778512` Chr`19` : `17,392,894`	0.000	1.000	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	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
rs3760982 lBF = `0.0244749` Chr`19` : `44,286,513`	0.000	1.000	0.000
rs8736 lBF = `0.0054294` Chr`19` : `54,677,189`	0.000	1.000	0.000
rs60446182 lBF = `-0.00643853` Chr`19` : `41,347,998`	0.000	1.000	0.000
rs11083840 lBF = `-0.0115573` Chr`19` : `47,119,910`	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
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	1.000	0.000
rs1860661 lBF = `-0.0163525` Chr`19` : `1,650,134`	0.000	1.000	0.000
rs740406 lBF = `-0.0227422` Chr`19` : `2,232,221`	0.000	1.000	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	1.000	0.000
rs9807841 lBF = `-0.0408581` Chr`19` : `10,817,656`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs644148 lBF = `-0.0431377` Chr`19` : `44,970,935`	0.000	1.000	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.000	1.000	0.000
rs2230245 lBF = `-0.0455294` Chr`19` : `50,909,765`	0.000	1.000	0.000
rs11666579 lBF = `-0.0504819` Chr`19` : `17,590,281`	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
rs12610250 lBF = `-0.0556392` Chr`19` : `8,277,713`	0.000	1.000	0.000
rs8192733 lBF = `-0.0561514` Chr`19` : `41,349,550`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs2664156 lBF = `-0.0826303` Chr`19` : `51,377,163`	0.000	1.000	0.000
rs398426 lBF = `-0.102157` Chr`19` : `34,321,258`	0.000	1.000	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	1.000	0.000
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.000	1.000	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.000	1.000	0.000
rs28399637 lBF = `12.56` Chr`19` : `45,324,138`	0.000	1.000	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	0.000	1.000	0.000
rs8101609 lBF = `7.44519` Chr`19` : `17,857,482`	0.000	1.000	0.000
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.000	1.000	0.000
rs7507912 lBF = `3.60129` Chr`19` : `46,157,916`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs4079366 lBF = `1.00129` Chr`19` : `41,384,675`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs3865444 lBF = `0.590737` Chr`19` : `51,727,962`	0.000	1.000	0.000
rs280519 lBF = `0.528063` Chr`19` : `10,472,933`	0.000	1.000	0.000
rs9304742 lBF = `0.387686` Chr`19` : `53,451,291`	0.000	1.000	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.000	1.000	0.000
rs11879191 lBF = `0.330898` Chr`19` : `10,512,911`	0.000	1.000	0.000
rs35164067 lBF = `0.27608` Chr`19` : `10,525,181`	0.000	1.000	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.000	1.000	0.000
rs16966122 lBF = `0.219204` Chr`19` : `32,158,464`	0.000	1.000	0.000
rs17771967 lBF = `0.180669` Chr`19` : `55,380,214`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	1.000	0.000
rs12459008 lBF = `0.118018` Chr`19` : `53,454,789`	0.000	1.000	0.000
rs7937 lBF = `0.114849` Chr`19` : `41,302,706`	0.000	1.000	0.000
rs2316205 lBF = `0.109689` Chr`19` : `41,346,768`	0.000	1.000	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	1.000	0.000
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.000	1.000	0.000
rs4808075 lBF = `0.0832062` Chr`19` : `17,390,291`	0.000	1.000	0.000
rs10500264 lBF = `0.080598` Chr`19` : `33,750,314`	0.000	1.000	0.000
rs11880198 lBF = `0.0722884` Chr`19` : `3,159,769`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9741

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9050

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8884

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8799

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8560

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8536

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8246

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7901

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7798

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7442

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7421

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7224

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7185

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7167

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7166

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7164

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7163

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7162

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7159

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7158

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7157

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7154

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7146

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7139

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7136

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7133

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7121

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7118

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7054

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7040

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6999

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6985

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6980

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6950

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6914

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6904

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6819

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6811

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6807

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6766

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6761

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6752

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6531

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6508

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6427

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6403

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6383

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6344

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6317

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6122

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6045

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5921

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5734

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5696

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5541

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5494

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5456

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5450

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5436

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5299

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5077

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5016

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4983

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4974

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4952

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4822

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4743

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4689

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4547

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4475

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4416

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4114

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3922

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3873

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3855

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3834

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3833

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3790

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3768

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3688

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3639

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3598

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3553

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3545

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3517

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3448

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3334

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3214

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3028

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2617

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2559

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2531

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2419

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2329

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2316

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2201

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2173

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2152

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2005

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1989

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1938

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1883

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1849

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1840

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1827

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1825

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1697

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1687

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1682

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1676

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1574

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1530

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.1507

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1437

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1359

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1298

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1194

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1084

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0911

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0839

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0808

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0805

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0763

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0701

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0674

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0659

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0640

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0608

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0515

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0511

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`)