TreeWAS – [M47.9] Spondylosis, unspecified

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
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.985	0.015	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.981	0.019	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.978	0.022	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.945	0.055	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.934	0.066	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.917	0.083	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.884	0.116	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.874	0.126	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.862	0.138	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.860	0.140	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.833	0.167	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.811	0.189	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.798	0.202	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.712	0.288	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.688	0.312	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.679	0.321	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.676	0.324	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.664	0.336	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.664	0.336	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.637	0.363	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.619	0.381	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.610	0.390	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.590	0.410	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.583	0.417	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.562	0.438	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.560	0.440	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.553	0.447	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.549	0.451	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.521	0.479	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.507	0.493	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.505	0.495	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.504	0.496	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.501	0.499	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.498	0.501	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.493	0.507	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.483	0.517	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.465	0.535	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.462	0.538	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.453	0.547	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.452	0.548	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.450	0.550	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.433	0.567	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.429	0.571	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.409	0.590	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.407	0.593	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.395	0.605	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.395	0.605	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.385	0.615	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.380	0.620	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.373	0.626	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.373	0.627	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.373	0.627	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.369	0.631	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.363	0.637	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.354	0.646	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.350	0.650	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.345	0.654	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.343	0.657	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.332	0.668	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.328	0.672	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.325	0.675	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.324	0.675	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.313	0.687	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.305	0.695	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.303	0.697	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.301	0.699	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.293	0.707	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.287	0.713	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.284	0.716	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.280	0.720	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.272	0.728	0.001
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.272	0.728	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.272	0.728	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.270	0.730	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.268	0.732	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.267	0.732	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.265	0.735	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.264	0.736	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.262	0.738	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.261	0.738	0.001
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.252	0.748	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.252	0.748	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.251	0.749	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.250	0.750	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.248	0.752	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.238	0.762	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.237	0.762	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.231	0.769	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.227	0.773	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.226	0.774	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.224	0.775	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.218	0.782	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.216	0.784	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.216	0.784	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.211	0.789	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.203	0.796	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.202	0.798	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.201	0.799	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.200	0.800	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.172	0.828	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.168	0.832	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.164	0.836	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.162	0.838	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.160	0.840	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.152	0.848	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.150	0.849	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.150	0.850	0.001
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.147	0.852	0.001
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.146	0.854	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.134	0.866	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.133	0.867	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.131	0.869	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.129	0.871	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.127	0.872	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.125	0.874	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.124	0.875	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.122	0.878	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.122	0.878	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.119	0.881	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.113	0.886	0.001
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.109	0.891	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.105	0.895	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.105	0.895	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.104	0.896	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.102	0.897	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.099	0.901	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.096	0.904	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.095	0.905	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	0.911	0.089
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.082	0.918	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.079	0.921	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.077	0.923	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.075	0.925	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.073	0.927	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.072	0.928	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.068	0.931	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.062	0.938	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.061	0.939	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.059	0.941	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.058	0.942	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.057	0.943	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.056	0.944	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.054	0.945	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.051	0.949	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.051	0.949	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.050	0.950	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.047	0.953	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.044	0.955	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.040	0.960	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.038	0.961	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.038	0.962	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.033	0.965	0.003
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.035	0.965	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.034	0.965	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.034	0.966	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.033	0.966	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.033	0.967	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.032	0.968	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.028	0.972	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.028	0.972	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.025	0.975	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.024	0.976	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.979	0.021
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.019	0.980	0.001
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	0.982	0.018
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.017	0.983	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.016	0.984	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.014	0.984	0.002
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.015	0.984	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.015	0.985	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	0.985	0.014
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.014	0.986	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.013	0.987	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.012	0.988	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.011	0.989	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.011	0.989	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.011	0.989	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.010	0.990	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.010	0.990	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.009	0.991	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.008	0.992	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.992	0.008
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.008	0.992	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.994	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.005	0.995	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	0.995	0.005
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	0.995	0.005
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.996	0.004
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.996	0.004
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.004	0.996	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	0.996	0.004
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.996	0.004
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.004	0.996	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.003	0.996	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.004	0.996	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.003	0.996	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.003	0.997	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.003	0.997	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.003	0.997	0.000
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rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.000	1.000	0.000
rs9921222 lBF = `-0.0968102` Chr`16` : `375,782`	0.000	1.000	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.000	1.000	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	1.000	0.000
rs11648422 lBF = `8.5436` Chr`16` : `90,105,004`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	1.000	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	1.000	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	1.000	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	1.000	0.000
rs7498985 lBF = `9.80974` Chr`16` : `90,103,117`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.000	1.000	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	1.000	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	1.000	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	1.000	0.000
rs1129700 lBF = `-0.0586406` Chr`16` : `29,918,034`	0.000	1.000	0.000
rs4784165 lBF = `-0.0671462` Chr`16` : `52,347,819`	0.000	1.000	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	1.000	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	1.000	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs12444261 lBF = `-0.0772295` Chr`16` : `11,734,642`	0.000	1.000	0.000
rs4781563 lBF = `-0.1082` Chr`16` : `14,045,399`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	1.000	0.000
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	1.000	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.000	1.000	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.000	1.000	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	1.000	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.000	1.000	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	1.000	0.000
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.000	1.000	0.000

This table lists the top 500 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 X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

1.0000

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

1.0000

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

1.0000

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9999

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9999

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9999

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9997

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9996

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9996

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9995

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9995

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9993

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9992

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9991

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9987

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9984

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9983

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9979

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9973

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9949

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9947

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9947

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9944

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9938

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9933

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9931

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9921

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9902

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9902

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9899

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9893

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9890

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9842

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9814

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9801

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9800

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9765

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9746

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9742

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9718

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9699

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9624

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9608

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9357

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9204

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9176

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9032

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9011

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8919

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8907

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8884

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8862

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8826

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8660

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8646

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8643

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8591

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8549

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8408

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8331

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8330

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8266

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8165

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8164

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8140

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8003

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7998

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7834

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7821

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7766

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7747

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7724

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7653

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.7637

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7507

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7430

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7355

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7304

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7104

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6935

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6766

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6674

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6296

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6200

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6043

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5666

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5645

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5488

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5295

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5216

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5120

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4951

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4930

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4785

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4689

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4230

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4177

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4130

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4107

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3988

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3987

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3957

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3930

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3914

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3909

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3890

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3726

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3523

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3516

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3417

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3370

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3202

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3068

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2988

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.2982

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2950

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2771

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2707

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2700

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2611

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2567

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2552

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2467

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2456

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2423

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2272

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2268

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2157

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2078

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2004

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1822

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1797

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1700

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1653

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1621

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1571

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1508

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1387

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1314

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1299

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1267

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1089

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1014

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0972

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0961

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0936

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0921

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.0777

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0765

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0717

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0705

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0688

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0604

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0600

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0590

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0553

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`)