TreeWAS – [D21.1] Connective and other soft tissue of upper limb, including shoulder

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
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.667	0.333	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.541	0.458	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.541	0.459	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.516	0.484	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.435	0.565	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.434	0.566	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.434	0.566	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.396	0.604	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.395	0.605	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.369	0.631	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.353	0.646	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.320	0.680	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.320	0.680	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.303	0.696	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.303	0.696	0.001
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.270	0.730	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.251	0.748	0.001
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.250	0.749	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.249	0.751	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.243	0.757	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.211	0.789	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.206	0.794	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.203	0.796	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.168	0.832	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.150	0.850	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.102	0.898	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.101	0.898	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.075	0.925	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.061	0.937	0.002
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.057	0.943	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.057	0.943	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.051	0.949	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.034	0.966	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.031	0.969	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.030	0.970	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.028	0.972	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.027	0.973	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.025	0.975	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.024	0.976	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.021	0.979	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.020	0.980	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.015	0.985	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.015	0.985	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.014	0.986	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.013	0.987	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.012	0.988	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.011	0.988	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.011	0.989	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.011	0.989	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.002	0.990	0.009
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.010	0.990	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.009	0.990	0.001
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.009	0.990	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.009	0.991	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.009	0.991	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	0.993	0.007
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.007	0.993	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.006	0.993	0.001
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.006	0.994	0.001
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.005	0.994	0.001
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.005	0.994	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.005	0.995	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.005	0.995	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	0.995	0.005
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	0.996	0.004
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.004	0.996	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.004	0.996	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.997	0.003
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.003	0.997	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.003	0.997	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.003	0.997	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	0.997	0.003
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	0.997	0.003
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	0.997	0.003
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	0.997	0.003
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	0.997	0.003
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	0.997	0.003
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	0.997	0.003
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.002	0.997	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.003	0.997	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.003	0.997	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.000	0.997	0.003
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	0.997	0.003
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.002	0.997	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.000	0.997	0.003
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.000	0.997	0.003
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.000	0.997	0.003
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.000	0.997	0.003
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.000	0.997	0.003
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.002	0.998	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.002	0.998	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.002	0.998	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.002	0.998	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.000	0.998	0.002
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.002	0.998	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	0.998	0.002
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.002	0.998	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.002	0.998	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.002	0.998	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.002	0.998	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.001	0.998	0.001
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	0.998	0.002
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.002	0.998	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.998	0.002
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.002	0.998	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.001	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.001
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.001	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.001	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.001	0.999	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.001	0.999	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	0.999	0.001
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.001	0.999	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.001	0.999	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.999	0.001
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.001
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.999	0.001
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.999	0.001
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs742134 lBF = `0.0123352` Chr`22` : `43,518,275`	0.001	0.999	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.001	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.001
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.001
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.000	0.999	0.001
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.001	0.999	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.000	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.001	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.001	0.999	0.000
rs2018293 lBF = `-0.026998` Chr`22` : `26,704,561`	0.001	0.999	0.000
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	0.999	0.001
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.001	0.999	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	0.999	0.001
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.001
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.001	0.999	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.001	0.999	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.001	0.999	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	0.999	0.001
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.999	0.001
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.001	0.999	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	0.999	0.001
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	0.999	0.001
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	0.999	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.001	0.999	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.001	0.999	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	0.999	0.001
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.001	0.999	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.001	0.999	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.000	0.999	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.001	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.001	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	0.999	0.001
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.001	0.999	0.000
rs5754638 lBF = `0.354417` Chr`22` : `34,078,057`	0.000	0.999	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs1023500 lBF = `-0.0481874` Chr`22` : `42,340,844`	0.001	0.999	0.000
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.001	0.999	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.001	0.999	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.001	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs35532491 lBF = `-0.0102996` Chr`22` : `34,329,603`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.999	0.001
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.999	0.000
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	0.999	0.001
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.001	0.999	0.000
rs75347843 lBF = `0.370509` Chr`22` : `51,112,361`	0.001	0.999	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.001	0.999	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.000	0.999	0.001
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.000	0.999	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	0.999	0.001
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.000	0.999	0.001
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.001	0.999	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.001	0.999	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.001	0.999	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.001	0.999	0.000
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rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs137115 lBF = `-0.0266763` Chr`22` : `43,011,403`	0.000	1.000	0.000
rs9627735 lBF = `-0.0269147` Chr`22` : `49,842,289`	0.000	1.000	0.000
rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	1.000	0.000
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.000	1.000	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.000	1.000	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs5771242 lBF = `0.00024019` Chr`22` : `50,661,869`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs133911 lBF = `-0.0281381` Chr`22` : `44,523,162`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs470119 lBF = `-0.0478436` Chr`22` : `50,966,914`	0.000	1.000	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000

This table lists the top 491 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.7567

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1210

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9797

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9734

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9702

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9696

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9589

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9531

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9504

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9455

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9429

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9329

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9272

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9226

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9223

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9136

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8909

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8777

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8715

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8692

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8611

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.8582

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8581

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8515

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8472

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8410

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8292

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8229

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8173

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8130

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.8115

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7984

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7950

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7904

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7865

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7778

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7671

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7591

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7485

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7381

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7289

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7136

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7081

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6964

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6902

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6889

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6882

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6796

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6652

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6583

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6499

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6350

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6233

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6217

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6213

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6171

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6146

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6122

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6100

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6050

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6034

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5802

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5776

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5726

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5653

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5611

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5580

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5536

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5398

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5322

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5266

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5160

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5124

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5079

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4929

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4866

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4849

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4837

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4703

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4688

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4687

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4643

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4630

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4550

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4503

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4428

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4199

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4163

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4153

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4019

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3765

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3665

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3555

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3418

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3191

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3062

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2920

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2883

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2801

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2728

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2672

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2585

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2386

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1861

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1801

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1784

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1648

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1638

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1632

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1548

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1507

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1349

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1331

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1295

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1135

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1132

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1070

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1061

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1061

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0907

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0885

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0840

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0807

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0797

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0776

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0722

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0706

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0702

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0649

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0643

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0618

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0613

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0567

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0561

Cluster X0271

log Bayes Factor = 256.743

contains 10 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`)