TreeWAS – [M50.3] Other cervical disk degeneration

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
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.716	0.284	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.667	0.333	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.647	0.353	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.580	0.420	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.553	0.447	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.548	0.452	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.536	0.463	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.526	0.474	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.490	0.509	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.485	0.515	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.478	0.522	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.471	0.529	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.443	0.556	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.428	0.572	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.425	0.574	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.421	0.579	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.401	0.599	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.400	0.600	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.389	0.611	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.378	0.622	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.371	0.628	0.001
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.371	0.629	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.365	0.635	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.364	0.636	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.361	0.639	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.349	0.651	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.338	0.662	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.322	0.678	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.321	0.679	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.310	0.690	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.306	0.693	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.303	0.697	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.286	0.714	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.286	0.714	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.284	0.716	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.265	0.735	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.257	0.743	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.255	0.744	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.243	0.756	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.229	0.770	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.223	0.777	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.222	0.777	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.220	0.780	0.001
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.212	0.788	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.209	0.791	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.208	0.792	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.207	0.793	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.206	0.793	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.195	0.805	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.187	0.813	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.176	0.824	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.170	0.830	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.155	0.844	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.155	0.845	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.153	0.846	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.150	0.850	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.141	0.858	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.141	0.859	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.139	0.861	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.138	0.862	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.132	0.867	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.130	0.870	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.128	0.872	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.107	0.891	0.002
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.107	0.893	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.085	0.913	0.003
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.070	0.929	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.068	0.931	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.068	0.932	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.067	0.932	0.001
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.061	0.938	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.053	0.946	0.001
rs2739330 lBF = `0.00312184` Chr`22` : `24,295,286`	0.050	0.950	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.041	0.959	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.038	0.962	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.038	0.962	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.032	0.968	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.031	0.969	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.029	0.970	0.001
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.027	0.973	0.001
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.027	0.973	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.023	0.977	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.983	0.016
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.010	0.990	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.010	0.990	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.008	0.992	0.001
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.001	0.993	0.006
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.001	0.993	0.005
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.006	0.994	0.000
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.006	0.994	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.005	0.995	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.002	0.995	0.003
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.002	0.995	0.002
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.002	0.995	0.003
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.003	0.995	0.001
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.005	0.995	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.004	0.996	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.004	0.996	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.004	0.996	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.004	0.996	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.996	0.004
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.003	0.997	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.003	0.997	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.002	0.997	0.001
rs7290192 lBF = `-0.0428414` Chr`22` : `49,318,526`	0.002	0.998	0.000
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.002	0.998	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.002	0.998	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.002	0.998	0.000
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.002	0.998	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.002	0.998	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.998	0.002
rs62238885 lBF = `-0.00625314` Chr`22` : `32,138,138`	0.001	0.998	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.001	0.998	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.001	0.998	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	0.001	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.001	0.999	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.001	0.999	0.000
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
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.999	0.001
rs5994434 lBF = `0.0751862` Chr`22` : `32,229,649`	0.000	0.999	0.001
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.001	0.999	0.000
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.999	0.001
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.001
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.999	0.001
rs140174 lBF = `0.351469` Chr`22` : `23,922,983`	0.001	0.999	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.001
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	0.999	0.001
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.001	0.999	0.000
rs5748415 lBF = `6.07569` Chr`22` : `19,729,424`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.001
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.001	0.999	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	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
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.001	0.999	0.000
rs2330809 lBF = `-0.0206894` Chr`22` : `25,002,081`	0.000	0.999	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.001	0.999	0.000
rs17002030 lBF = `7.24142` Chr`22` : `40,989,374`	0.001	0.999	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.999	0.001
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	0.999	0.001
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	0.999	0.001
rs133047 lBF = `0.0609113` Chr`22` : `41,027,819`	0.000	0.999	0.001
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.001	0.999	0.000
rs6004862 lBF = `0.0777455` Chr`22` : `26,378,073`	0.000	0.999	0.001
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.001	0.999	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.999	0.000
rs6001930 lBF = `5.21695` Chr`22` : `40,876,234`	0.001	0.999	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	0.999	0.001
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.001	0.999	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.999	0.001
rs6000762 lBF = `-0.0132974` Chr`22` : `37,918,472`	0.000	0.999	0.001
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.001
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.001	0.999	0.000
rs6001932 lBF = `5.97524` Chr`22` : `40,877,635`	0.001	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	0.999	0.001
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.001
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.001	0.999	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.001
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.001	0.999	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.000
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	0.999	0.001
rs13058467 lBF = `0.0850959` Chr`22` : `43,579,049`	0.001	0.999	0.000
rs4821558 lBF = `-0.00222886` Chr`22` : `37,308,785`	0.000	0.999	0.001
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	0.999	0.001
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.001	0.999	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	0.999	0.001
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.001	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.001	0.999	0.000
rs3788483 lBF = `-0.0541366` Chr`22` : `33,084,345`	0.000	0.999	0.001
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.001	0.999	0.000
rs4821469 lBF = `-0.0629789` Chr`22` : `36,616,445`	0.000	0.999	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.000	0.999	0.000
rs971768 lBF = `-0.00299327` Chr`22` : `17,597,462`	0.000	0.999	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	0.999	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	0.999	0.001
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	0.999	0.001
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	0.999	0.000
rs5755703 lBF = `-0.132854` Chr`22` : `35,754,413`	0.000	0.999	0.001
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	1.000	0.000
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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
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.000	1.000	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.000	1.000	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.000	1.000	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.000	1.000	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.000	1.000	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs1043099 lBF = `-0.0365254` Chr`22` : `30,681,257`	0.000	1.000	0.000
rs7364180 lBF = `-0.0371186` Chr`22` : `42,218,856`	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
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
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
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	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
rs3959642 lBF = `-0.0848042` Chr`22` : `39,860,589`	0.000	1.000	0.000
rs41297816 lBF = `-0.0902365` Chr`22` : `19,763,978`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	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
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs139014 lBF = `-0.111523` Chr`22` : `43,624,765`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs229541 lBF = `7.70096` Chr`22` : `37,591,318`	0.000	1.000	0.000
rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.000	1.000	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs138740 lBF = `-0.0437205` Chr`22` : `35,699,582`	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
rs1053593 lBF = `-0.0560821` Chr`22` : `35,660,875`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs987710 lBF = `-0.0876342` Chr`22` : `22,512,415`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	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
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs5759167 lBF = `9.72242` Chr`22` : `43,500,212`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	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
rs5765956 lBF = `1.11634` Chr`22` : `45,150,659`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	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
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs735854 lBF = `0.00741103` Chr`22` : `36,679,058`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	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
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	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
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs712964 lBF = `-0.109339` Chr`22` : `19,156,117`	0.000	1.000	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs1007863 lBF = `15.6643` Chr`22` : `44,395,451`	0.000	1.000	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs13053175 lBF = `-0.0911913` Chr`22` : `37,613,309`	0.000	1.000	0.000
rs3788556 lBF = `-0.137897` Chr`22` : `39,972,162`	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 X0052

log Bayes Factor = 654.387

contains 25 variants

0.9997

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9987

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9861

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9820

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9628

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9552

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9514

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9349

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9086

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8765

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8764

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.8574

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.8341

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8294

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8233

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8002

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7971

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7952

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7847

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7740

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7715

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7555

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7149

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7128

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7094

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7043

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7006

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6894

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6885

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6832

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6757

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6706

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6508

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6482

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6350

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6209

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6132

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6113

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6076

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6010

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5906

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5737

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5553

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5316

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5208

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4854

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4739

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4694

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4692

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4607

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4538

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4416

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4366

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4334

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4319

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4184

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4038

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3961

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3866

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3864

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3812

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3729

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3644

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3637

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3264

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3153

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3061

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2931

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2892

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2853

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2816

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2758

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2753

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2740

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2664

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2657

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2616

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2432

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2369

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2327

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2309

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2266

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2232

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2200

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2165

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2148

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2119

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2118

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2117

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2113

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2099

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2096

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2017

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1962

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1929

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1781

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1760

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1730

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1682

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1664

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1664

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1596

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1476

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1417

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1408

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1279

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1251

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1204

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1182

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1174

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1160

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1152

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1125

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1117

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1076

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1017

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0998

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0966

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0937

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.0882

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0826

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0811

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0775

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0768

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0766

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0762

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.0754

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0704

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0661

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0574

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0537

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0533

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0504

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`)