TreeWAS – [M79.62] Pain in limb (Upper arm)

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
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.867	0.133	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.801	0.199	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.692	0.308	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.677	0.323	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.656	0.344	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.619	0.381	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.611	0.389	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.580	0.420	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.577	0.423	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.544	0.456	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.531	0.469	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.500	0.500	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.498	0.502	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.456	0.544	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.428	0.571	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.426	0.574	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.411	0.589	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.380	0.620	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.364	0.636	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.359	0.641	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.356	0.644	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.347	0.653	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.330	0.670	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.327	0.672	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.308	0.692	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.306	0.693	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.305	0.695	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.293	0.707	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.284	0.716	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.260	0.740	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.246	0.754	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.244	0.755	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.238	0.762	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.224	0.775	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.210	0.789	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.210	0.790	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.200	0.800	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.197	0.802	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.194	0.806	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.191	0.809	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.188	0.811	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.182	0.818	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.181	0.819	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.175	0.825	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.171	0.829	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.167	0.833	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.161	0.839	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.158	0.842	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.156	0.844	0.001
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.150	0.850	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.145	0.855	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.136	0.863	0.001
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.134	0.866	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.132	0.868	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.126	0.873	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.113	0.887	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.112	0.888	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.108	0.892	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.097	0.902	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.097	0.903	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.087	0.913	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.085	0.915	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.082	0.918	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.079	0.921	0.001
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.072	0.928	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.070	0.929	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.065	0.935	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.065	0.935	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.058	0.942	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.055	0.945	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.053	0.947	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.044	0.956	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.042	0.958	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.041	0.959	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.036	0.964	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.033	0.966	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.031	0.969	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.031	0.969	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.028	0.972	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.023	0.973	0.004
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.025	0.975	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.025	0.975	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.023	0.976	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.023	0.977	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.022	0.977	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.020	0.979	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.017	0.983	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.017	0.983	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.017	0.983	0.000
rs3827385 lBF = `6.9071` Chr`22` : `44,388,817`	0.016	0.984	0.000
rs2073080 lBF = `6.61989` Chr`22` : `44,394,402`	0.015	0.985	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.005	0.986	0.009
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.009	0.990	0.000
rs2143571 lBF = `7.12354` Chr`22` : `44,391,686`	0.008	0.992	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.000	0.994	0.006
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	0.996	0.004
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs4820834 lBF = `-0.00955864` Chr`22` : `30,751,627`	0.000	0.997	0.003
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.003	0.997	0.000
rs1004689 lBF = `0.410395` Chr`22` : `48,651,997`	0.003	0.997	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.003	0.997	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.002	0.998	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.002	0.998	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.002	0.998	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.002	0.998	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.998	0.002
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	0.998	0.002
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.002	0.998	0.000
rs9609078 lBF = `0.014673` Chr`22` : `31,153,276`	0.000	0.998	0.002
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.998	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.001	0.999	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.001	0.999	0.001
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.001	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	0.999	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.000	0.999	0.001
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	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
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.001
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	0.999	0.001
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.001	0.999	0.000
rs2412980 lBF = `1.56742` Chr`22` : `30,592,069`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.001
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	0.999	0.001
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.001
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.000	0.999	0.001
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.001	0.999	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.001	0.999	0.000
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	0.001	0.999	0.000
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs9608102 lBF = `-0.00002127` Chr`22` : `23,644,794`	0.000	0.999	0.001
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.001	0.999	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	0.999	0.001
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	0.999	0.001
rs4821083 lBF = `0.068578` Chr`22` : `33,056,341`	0.000	0.999	0.001
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.000	0.999	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.001	0.999	0.000
rs3761472 lBF = `21.1843` Chr`22` : `44,368,122`	0.000	1.000	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs2106139 lBF = `0.115532` Chr`22` : `19,565,257`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs4911642 lBF = `0.00376293` Chr`22` : `16,504,399`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	1.000	0.000
rs5756813 lBF = `-0.0141405` Chr`22` : `38,175,477`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
rs16989760 lBF = `0.0366584` Chr`22` : `31,951,808`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	1.000	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	1.000	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	1.000	0.000
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs12628403 lBF = `1.30847` Chr`22` : `39,358,037`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	1.000	0.000
rs2281135 lBF = `28.0955` Chr`22` : `44,332,570`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	1.000	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	1.000	0.000
rs28372448 lBF = `0.0051555` Chr`22` : `50,350,971`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs2896019 lBF = `27.9863` Chr`22` : `44,333,694`	0.000	1.000	0.000
Affx-19716376 lBF = `27.9071` Chr`22` : `44,332,888`	0.000	1.000	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
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rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	1.000	0.000
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	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
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs131814 lBF = `-0.0469394` Chr`22` : `50,960,101`	0.000	1.000	0.000
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs4141404 lBF = `-0.0780888` Chr`22` : `31,675,185`	0.000	1.000	0.000
rs2106294 lBF = `-0.0797405` Chr`22` : `31,645,759`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs9616064 lBF = `-0.113678` Chr`22` : `46,982,293`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	0.000	1.000	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	1.000	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	1.000	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.000	1.000	0.000
rs3761445 lBF = `2.14332` Chr`22` : `38,595,411`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs134871 lBF = `0.142175` Chr`22` : `42,652,716`	0.000	1.000	0.000
rs2277844 lBF = `0.0787746` Chr`22` : `38,577,515`	0.000	1.000	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs4821544 lBF = `0.0393448` Chr`22` : `37,258,503`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	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
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	1.000	0.000
rs4822983 lBF = `-0.0612462` Chr`22` : `29,115,066`	0.000	1.000	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.000	1.000	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs4820294 lBF = `-0.0788716` Chr`22` : `38,071,043`	0.000	1.000	0.000
rs6003982 lBF = `-0.0788765` Chr`22` : `24,284,825`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	0.000	1.000	0.000
rs10453441 lBF = `0.465801` Chr`22` : `46,363,739`	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
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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 X0150

log Bayes Factor = 861.091

contains 26 variants

0.9977

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9967

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9927

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9912

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9852

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9846

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9745

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9708

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9707

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9681

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9665

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9662

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9662

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9658

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9607

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9571

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9447

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9398

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9369

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9364

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9205

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9111

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9103

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8988

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8823

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8817

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8800

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8788

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8700

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8637

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8350

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8139

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8129

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7966

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7931

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7725

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7508

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7503

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7451

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7274

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7230

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7135

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7006

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6952

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6907

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6856

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6814

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6469

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6307

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6307

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6293

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6212

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6050

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6017

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5911

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5766

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5669

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5475

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5422

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5339

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5322

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5308

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5269

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5075

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5023

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4894

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4833

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4780

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4776

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4771

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4732

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4700

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4490

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4414

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4203

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3675

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3613

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3606

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3581

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3527

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3443

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3405

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3300

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3275

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.3203

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3183

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3107

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3072

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3027

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2950

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2941

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2911

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2822

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2752

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2655

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2570

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2458

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2399

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2099

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2041

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1976

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1949

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1941

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1904

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1699

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1657

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1621

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1561

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1514

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1481

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1424

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1359

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1204

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1203

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1170

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1057

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1020

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0979

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0942

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0889

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0882

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0722

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0716

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0640

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0613

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0596

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0584

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0558

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0535

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`)