TreeWAS – [M47.84] Other spondylosis (Thoracic 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
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.674	0.326	0.000
rs11914070 lBF = `0.672153` Chr`22` : `18,965,628`	0.658	0.342	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.558	0.442	0.000
rs5766691 lBF = `1.25323` Chr`22` : `47,532,396`	0.551	0.449	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.549	0.451	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.546	0.454	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.531	0.468	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.476	0.524	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.453	0.546	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.411	0.589	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.397	0.603	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.366	0.634	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.356	0.644	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.348	0.651	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.345	0.655	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.337	0.663	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.331	0.669	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.329	0.670	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.311	0.689	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.310	0.690	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.301	0.698	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.301	0.699	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.295	0.705	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.292	0.708	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.288	0.711	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.286	0.714	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.281	0.719	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.280	0.719	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.274	0.725	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.269	0.731	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.255	0.745	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.241	0.758	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.240	0.760	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.233	0.767	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.224	0.775	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.224	0.776	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.217	0.783	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.207	0.793	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.205	0.795	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.203	0.797	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.201	0.799	0.001
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.185	0.815	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.182	0.817	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.178	0.822	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.175	0.825	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.171	0.829	0.000
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.171	0.829	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.169	0.831	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.166	0.834	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.165	0.835	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.148	0.852	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.137	0.863	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.136	0.864	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.134	0.866	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.133	0.867	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.130	0.869	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.130	0.870	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.128	0.872	0.000
rs80084511 lBF = `7.45888` Chr`22` : `36,704,700`	0.124	0.876	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.122	0.877	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.117	0.883	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.113	0.886	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.101	0.899	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.098	0.902	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.097	0.903	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.093	0.906	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.083	0.917	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.079	0.921	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.076	0.924	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.074	0.925	0.001
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.072	0.928	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.069	0.931	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.062	0.937	0.001
rs146267024 lBF = `0.342848` Chr`22` : `50,722,939`	0.053	0.947	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.042	0.958	0.000
rs11705126 lBF = `0.801943` Chr`22` : `27,915,946`	0.036	0.963	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.031	0.969	0.000
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.030	0.970	0.001
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.027	0.973	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.026	0.974	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.025	0.975	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.019	0.980	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	0.982	0.018
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.017	0.982	0.001
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.015	0.985	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.013	0.987	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.012	0.987	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.011	0.989	0.000
rs2267138 lBF = `-0.041799` Chr`22` : `29,793,641`	0.011	0.989	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.010	0.990	0.000
rs28628653 lBF = `67.1296` Chr`22` : `46,396,925`	0.000	0.991	0.009
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.008	0.992	0.000
rs5751452 lBF = `0.150623` Chr`22` : `43,635,573`	0.006	0.994	0.000
rs55769859 lBF = `0.0444075` Chr`22` : `46,353,046`	0.000	0.994	0.006
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.005	0.995	0.001
rs5752326 lBF = `-0.0295582` Chr`22` : `26,843,990`	0.000	0.996	0.004
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.003	0.996	0.000
rs28613901 lBF = `12.234` Chr`22` : `45,260,956`	0.003	0.996	0.000
rs5770917 lBF = `-0.0118017` Chr`22` : `51,017,353`	0.000	0.997	0.003
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.003	0.997	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.000	0.997	0.003
rs5747035 lBF = `0.0798043` Chr`22` : `17,718,606`	0.003	0.997	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.000	0.997	0.003
rs999719 lBF = `1.58217` Chr`22` : `34,264,838`	0.003	0.997	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	0.997	0.003
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.002	0.998	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.002	0.998	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.002	0.998	0.000
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.001	0.998	0.001
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.002	0.998	0.000
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.998	0.002
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.002	0.998	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.002	0.998	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.001	0.998	0.000
rs9607791 lBF = `-0.0332456` Chr`22` : `41,694,388`	0.001	0.998	0.000
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.001	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.001	0.999	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	0.999	0.001
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.001	0.999	0.000
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.999	0.000
rs73394838 lBF = `0.109521` Chr`22` : `30,225,973`	0.000	0.999	0.001
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.001	0.999	0.000
rs5767992 lBF = `-0.051089` Chr`22` : `48,188,253`	0.000	0.999	0.001
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.000	0.999	0.001
rs28542066 lBF = `32.5751` Chr`22` : `46,414,664`	0.000	0.999	0.001
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.999	0.000
rs6519955 lBF = `33.5214` Chr`22` : `46,421,842`	0.000	0.999	0.001
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.001	0.999	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	0.999	0.001
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	0.999	0.001
rs412050 lBF = `0.0874464` Chr`22` : `22,307,519`	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
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
rs2540647 lBF = `-0.0639362` Chr`22` : `18,966,617`	0.000	0.999	0.001
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.001	0.999	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	0.999	0.001
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.001	0.999	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	0.999	0.001
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	0.999	0.001
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	0.999	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.001	0.999	0.000
rs137699 lBF = `3.88767` Chr`22` : `39,748,854`	0.001	0.999	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.001	0.999	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	0.999	0.001
rs73164810 lBF = `0.025675` Chr`22` : `21,321,790`	0.001	0.999	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.001	0.999	0.000
rs2023634 lBF = `-0.0584025` Chr`22` : `18,972,450`	0.000	0.999	0.001
rs68043594 lBF = `0.344341` Chr`22` : `27,993,417`	0.001	0.999	0.000
rs807669 lBF = `-0.107969` Chr`22` : `19,154,522`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.000	0.999	0.000
rs5753037 lBF = `2.17178` Chr`22` : `30,581,722`	0.001	0.999	0.000
rs4680 lBF = `-0.0550063` Chr`22` : `19,951,271`	0.001	0.999	0.000
rs4646312 lBF = `-0.0858072` Chr`22` : `19,948,337`	0.000	0.999	0.001
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.999	0.001
rs12170295 lBF = `31.7925` Chr`22` : `46,420,465`	0.000	0.999	0.001
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.000	0.999	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	0.999	0.000
rs71331230 lBF = `-0.00130583` Chr`22` : `30,609,211`	0.000	0.999	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	0.999	0.001
rs926937 lBF = `-0.059769` Chr`22` : `27,929,853`	0.000	0.999	0.001
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	0.999	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	0.999	0.000
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.000	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.000	0.999	0.000
rs5746647 lBF = `0.0115385` Chr`22` : `17,057,138`	0.000	0.999	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.001	0.999	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	0.999	0.000
rs6005807 lBF = `0.00031687` Chr`22` : `28,934,313`	0.000	0.999	0.000
rs144960271 lBF = `-0.0210795` Chr`22` : `41,389,785`	0.000	0.999	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	0.999	0.001
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	0.999	0.000
rs743777 lBF = `-0.068644` Chr`22` : `37,551,607`	0.000	0.999	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.000	0.999	0.000
rs1476029 lBF = `0.106987` Chr`22` : `36,517,932`	0.000	0.999	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	0.999	0.000
rs17651189 lBF = `-0.0110603` Chr`22` : `24,844,883`	0.000	0.999	0.000
rs5761618 lBF = `-0.130147` Chr`22` : `26,993,706`	0.000	0.999	0.000
rs9626908 lBF = `25.878` Chr`22` : `46,428,306`	0.000	1.000	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	1.000	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	1.000	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	1.000	0.000
rs7287939 lBF = `-0.0355655` Chr`22` : `41,396,353`	0.000	1.000	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs8137243 lBF = `23.6201` Chr`22` : `46,443,835`	0.000	1.000	0.000
rs77206040 lBF = `-0.00758649` Chr`22` : `44,471,123`	0.000	1.000	0.000
rs4819833 lBF = `-0.0357712` Chr`22` : `19,691,502`	0.000	1.000	0.000
rs9627368 lBF = `18.7048` Chr`22` : `46,445,002`	0.000	1.000	0.000
rs17002034 lBF = `7.44173` Chr`22` : `40,996,367`	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
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rs35245641 lBF = `-0.0329345` Chr`22` : `46,473,845`	0.000	1.000	0.000
rs138777 lBF = `-0.03609` Chr`22` : `35,711,098`	0.000	1.000	0.000
rs35934224 lBF = `-0.0409583` Chr`22` : `19,872,645`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs6004262 lBF = `-0.0747378` Chr`22` : `25,155,143`	0.000	1.000	0.000
rs2073398 lBF = `-0.0752997` Chr`22` : `24,999,104`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5757717 lBF = `-0.0914033` Chr`22` : `39,942,234`	0.000	1.000	0.000
rs11704416 lBF = `-0.10001` Chr`22` : `40,436,973`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	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
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs9627403 lBF = `5.53312` Chr`22` : `46,448,476`	0.000	1.000	0.000
rs6010044 lBF = `1.29431` Chr`22` : `51,101,938`	0.000	1.000	0.000
rs1978968 lBF = `0.289229` Chr`22` : `18,448,113`	0.000	1.000	0.000
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs1076540 lBF = `0.248355` Chr`22` : `18,439,958`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs738722 lBF = `0.135046` Chr`22` : `29,130,012`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs1033667 lBF = `0.118625` Chr`22` : `29,130,300`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	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
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.000	1.000	0.000
rs5751901 lBF = `-0.0403249` Chr`22` : `24,992,266`	0.000	1.000	0.000
rs738144 lBF = `-0.0471695` Chr`22` : `39,178,375`	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
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
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.000	1.000	0.000
rs5757676 lBF = `-0.073334` Chr`22` : `39,841,700`	0.000	1.000	0.000
rs1547014 lBF = `-0.0743829` Chr`22` : `29,100,711`	0.000	1.000	0.000
rs2235682 lBF = `-0.0748289` Chr`22` : `36,983,428`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs2008174 lBF = `-0.0774191` Chr`22` : `39,860,130`	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
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
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	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
rs9619497 lBF = `-0.094133` Chr`22` : `35,371,248`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs9623117 lBF = `-0.0974422` Chr`22` : `40,452,119`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs9611198 lBF = `-0.136357` Chr`22` : `39,955,873`	0.000	1.000	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	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
rs2284033 lBF = `0.816696` Chr`22` : `37,534,034`	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
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.000	1.000	0.000
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	1.000	0.000
rs2283792 lBF = `-0.0197948` Chr`22` : `22,131,125`	0.000	1.000	0.000
rs140522 lBF = `-0.0416471` Chr`22` : `50,971,266`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	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
rs5749446 lBF = `-0.0528213` Chr`22` : `32,880,585`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.000	1.000	0.000
rs5751614 lBF = `-0.0697361` Chr`22` : `23,593,051`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	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
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	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)

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.0526

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8442

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8398

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7919

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7894

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7767

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7630

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7302

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7169

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7168

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7168

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.7168

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7167

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7167

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7166

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7166

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7164

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7162

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7160

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7150

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7149

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7144

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7140

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7139

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7138

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7137

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7133

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7113

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7112

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7107

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7069

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7064

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7064

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7021

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6999

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6978

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6970

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6934

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6905

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6901

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6893

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6884

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6860

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6747

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6620

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6531

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6442

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6382

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6369

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6357

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6351

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6303

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6058

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5938

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5804

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5789

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5664

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5548

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5528

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5340

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5306

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5223

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5180

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4983

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4922

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4747

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4557

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4323

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4285

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4269

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4083

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4025

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3660

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3610

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3608

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3559

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3556

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3526

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3464

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3371

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3279

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3072

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2974

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2890

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2741

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.2739

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2679

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2602

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2562

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2452

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2283

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2140

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2090

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2072

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2043

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1715

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1640

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1400

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1392

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1361

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1328

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1257

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1242

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1233

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1213

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1200

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1145

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1114

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1105

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1044

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0953

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0929

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.0913

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0901

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0895

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0889

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0852

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0851

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0845

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0840

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0815

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0791

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0597

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0594

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0587

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0576

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0571

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0547

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0540

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0508

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`)