TreeWAS – [M24.01] Loose body in joint (Shoulder region)

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
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.606	0.394	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.575	0.425	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.515	0.485	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.498	0.502	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.471	0.529	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.463	0.537	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.443	0.556	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.438	0.562	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.435	0.565	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.433	0.566	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.432	0.567	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.424	0.576	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.418	0.582	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.418	0.582	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.416	0.584	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.415	0.584	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.414	0.586	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.409	0.591	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.400	0.600	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.386	0.614	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.380	0.619	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.374	0.626	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.371	0.629	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.368	0.632	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.360	0.640	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.355	0.645	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.338	0.662	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.333	0.666	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.329	0.671	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.328	0.671	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.327	0.673	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.325	0.675	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.324	0.675	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.320	0.679	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.315	0.685	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.313	0.687	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.299	0.701	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.292	0.708	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.290	0.709	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.288	0.712	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.283	0.716	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.282	0.718	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.273	0.727	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.272	0.728	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.262	0.738	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.251	0.748	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.234	0.766	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.231	0.769	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.214	0.785	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.211	0.789	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.196	0.804	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.189	0.811	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.180	0.820	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.172	0.828	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.165	0.835	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.164	0.835	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.156	0.843	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.148	0.852	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.148	0.852	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.139	0.861	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.135	0.865	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.111	0.889	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.110	0.890	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.096	0.904	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.064	0.935	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.064	0.936	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.060	0.940	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.057	0.943	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.050	0.950	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.047	0.952	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.043	0.957	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.043	0.957	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.039	0.961	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.039	0.961	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.037	0.963	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.037	0.963	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.037	0.963	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.035	0.965	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.033	0.967	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.032	0.967	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.032	0.968	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.026	0.974	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.026	0.974	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.025	0.974	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.021	0.979	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.015	0.985	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.013	0.987	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.011	0.989	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.010	0.989	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.010	0.989	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	0.992	0.008
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.008	0.992	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.007	0.993	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.007	0.993	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.005	0.994	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.005	0.995	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.005	0.995	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	0.996	0.004
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.004	0.996	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.004	0.996	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.003	0.996	0.001
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	0.997	0.003
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	0.997	0.003
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	0.002	0.998	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.002	0.998	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	0.998	0.002
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.998	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.002	0.998	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.002	0.998	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.002	0.998	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	0.998	0.002
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.001	0.998	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.002	0.998	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.002	0.998	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.002	0.998	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.002	0.998	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.002	0.998	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.002	0.998	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.002	0.998	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.002	0.998	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.002	0.998	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.001	0.998	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	0.998	0.002
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	0.998	0.002
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.001	0.998	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.001	0.998	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.998	0.001
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	0.999	0.001
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.001	0.999	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs739310 lBF = `0.0296976` Chr`22` : `27,051,299`	0.001	0.999	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs738968 lBF = `-0.0345607` Chr`22` : `34,889,097`	0.001	0.999	0.000
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.001	0.999	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.001
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.001	0.999	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.001	0.999	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	0.999	0.001
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.001	0.999	0.001
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.001	0.999	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.001	0.999	0.000
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.000	0.999	0.001
rs1811103 lBF = `-0.00640802` Chr`22` : `34,182,889`	0.000	0.999	0.001
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.001	0.999	0.000
rs4824093 lBF = `-0.0530357` Chr`22` : `50,128,268`	0.001	0.999	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	0.999	0.001
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	0.999	0.001
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	0.999	0.001
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.001	0.999	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.001
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.000	0.999	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.001	0.999	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.001	0.999	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.999	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.001	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.001	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.001	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.001	0.999	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs137887 lBF = `-0.00363212` Chr`22` : `50,464,439`	0.001	0.999	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	0.999	0.001
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.001	0.999	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	0.999	0.001
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	0.999	0.001
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.001	0.999	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.001	0.999	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.001	0.999	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.001	0.999	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	0.999	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.001	0.999	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.000	0.999	0.001
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.001	0.999	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.001	0.999	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.999	0.001
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.001	0.999	0.000
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rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs12484776 lBF = `-0.015354` Chr`22` : `40,652,873`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs7286917 lBF = `-0.0492415` Chr`22` : `39,860,868`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	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
rs470089 lBF = `-0.0665578` Chr`22` : `44,248,504`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs5757673 lBF = `-0.0937261` Chr`22` : `39,837,920`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs909674 lBF = `-0.0838403` Chr`22` : `39,859,169`	0.000	1.000	0.000
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	1.000	0.000
rs9330811 lBF = `97.7604` Chr`22` : `46,362,396`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs12159200 lBF = `0.025189` Chr`22` : `41,042,091`	0.000	1.000	0.000
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	1.000	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	1.000	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	1.000	0.000
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	1.000	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.000	1.000	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	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
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs131408 lBF = `-0.117869` Chr`22` : `23,890,836`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	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
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	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
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9910

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9365

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9152

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9085

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8974

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8964

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.8818

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8704

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8674

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8470

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8436

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8386

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8277

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8267

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8197

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8136

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8123

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8024

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7946

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7911

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7892

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7878

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7853

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7823

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7808

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7776

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7741

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7601

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7550

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7547

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.7519

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7489

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7353

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7324

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7305

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7207

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7168

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7164

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7163

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7133

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7107

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7106

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7059

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7055

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7055

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7050

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7023

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7019

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6992

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6990

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6982

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6969

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6959

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6945

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6933

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6915

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6908

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6900

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6857

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6831

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6827

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6826

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6826

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6794

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6768

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6768

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6754

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6753

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.6740

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6724

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6707

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6680

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6675

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6673

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6658

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6643

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6560

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6537

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6518

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6511

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6506

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6498

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6438

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6430

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6429

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6417

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6417

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6412

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6408

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6387

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6385

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6375

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6373

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6373

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6368

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6360

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6359

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6322

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6302

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6298

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6288

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6274

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6273

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6246

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6242

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6215

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6213

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6180

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6170

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6167

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6167

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6150

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6126

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6111

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6083

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6053

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6009

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6006

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5979

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5975

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5953

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5934

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5911

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5904

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5856

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5854

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5828

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5826

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5789

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5786

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5783

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5772

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5769

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5708

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5685

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5684

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5675

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5664

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5650

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5646

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5633

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5612

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5572

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5568

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5480

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5469

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5426

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5393

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5382

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5380

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5367

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5336

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5312

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5274

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5265

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5239

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5227

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5212

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5203

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5195

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5109

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5082

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5064

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5057

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5041

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5010

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4999

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4994

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4948

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4943

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4942

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4876

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4870

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4859

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.4835

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4822

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4771

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4727

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4714

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4658

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4620

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4618

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4566

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4552

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4469

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4393

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4374

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4357

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.4191

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.4183

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4087

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4027

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4008

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3793

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3776

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3741

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3667

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3495

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3495

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3446

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.3371

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3329

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3093

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.2854

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2412

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2226

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2025

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1787

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.1715

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1666

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1293

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1226

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1197

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1181

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1168

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0933

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0888

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0850

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`)