TreeWAS – [M47.17] Other spondylosis with myelopathy (Lumbosacral 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
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.561	0.438	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.551	0.449	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.538	0.462	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.509	0.490	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.497	0.503	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.495	0.505	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.483	0.516	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.483	0.517	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.481	0.518	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.480	0.520	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.473	0.526	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.466	0.534	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.460	0.539	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.454	0.545	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.449	0.551	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.445	0.555	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.442	0.557	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.437	0.562	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.437	0.563	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.434	0.566	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.434	0.566	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.426	0.574	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.418	0.581	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.418	0.581	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.411	0.589	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.401	0.599	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.399	0.601	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.397	0.603	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.391	0.609	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.391	0.609	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.381	0.619	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.379	0.621	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.374	0.626	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.369	0.631	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.363	0.636	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.363	0.637	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.359	0.640	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.356	0.643	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.352	0.648	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.346	0.654	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.345	0.654	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.343	0.657	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.339	0.661	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.338	0.662	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.327	0.672	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.323	0.677	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.319	0.681	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.314	0.686	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.311	0.689	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.308	0.691	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.306	0.694	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.291	0.708	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.291	0.709	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.283	0.716	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.274	0.726	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.268	0.732	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.263	0.736	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.255	0.745	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.254	0.746	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.239	0.760	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.238	0.761	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.234	0.765	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.234	0.765	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.234	0.766	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.231	0.768	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.228	0.771	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.226	0.774	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.225	0.774	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.223	0.777	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.222	0.777	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.216	0.784	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.216	0.784	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.216	0.784	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.216	0.784	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.212	0.787	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.212	0.787	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.212	0.788	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.210	0.790	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.209	0.791	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.207	0.792	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.207	0.793	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.206	0.794	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.206	0.794	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.205	0.795	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.203	0.796	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.202	0.798	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.200	0.800	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.195	0.804	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.192	0.808	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.192	0.808	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.191	0.808	0.001
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.190	0.810	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.188	0.812	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.185	0.815	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.173	0.827	0.001
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.172	0.828	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.172	0.828	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.168	0.832	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.165	0.835	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.163	0.836	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.162	0.837	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.162	0.838	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.162	0.838	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.160	0.840	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.159	0.841	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.159	0.841	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.139	0.860	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.139	0.861	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.136	0.864	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.125	0.875	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.125	0.875	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.121	0.879	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.113	0.887	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.104	0.896	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.103	0.897	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.102	0.897	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.101	0.898	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.096	0.904	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.094	0.905	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.088	0.912	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.087	0.913	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.087	0.913	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.084	0.915	0.001
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.079	0.921	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.078	0.922	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.077	0.922	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.076	0.924	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.071	0.928	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.070	0.930	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.069	0.931	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.068	0.932	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.065	0.935	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.063	0.937	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.060	0.940	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.055	0.944	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.056	0.944	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.055	0.945	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.055	0.945	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.054	0.945	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.054	0.946	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.051	0.948	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.051	0.949	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.044	0.955	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.043	0.956	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.041	0.958	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.039	0.961	0.001
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.039	0.961	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.039	0.961	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.037	0.963	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.035	0.965	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.033	0.967	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.033	0.967	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.032	0.968	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.032	0.968	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.030	0.970	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.028	0.972	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.027	0.972	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.024	0.976	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.022	0.978	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.022	0.978	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.020	0.980	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.020	0.980	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.019	0.981	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.018	0.981	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.014	0.985	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.014	0.986	0.000
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.013	0.986	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.987	0.013
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	0.987	0.013
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.011	0.987	0.002
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.012	0.988	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.011	0.989	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.011	0.989	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.011	0.989	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.001	0.990	0.009
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.010	0.990	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.009	0.990	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.009	0.991	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	0.991	0.009
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.007	0.993	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.007	0.993	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.996	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.004	0.996	0.001
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.004	0.996	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.004	0.996	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.003	0.996	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.003	0.996	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.003	0.997	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.003	0.997	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.997	0.003
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.003	0.997	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.003	0.997	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.003	0.997	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.003	0.997	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.003	0.997	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.003	0.997	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.003	0.997	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.002	0.997	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.002	0.997	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.003	0.997	0.000
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rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	0.999	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	0.999	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	0.999	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	0.999	0.000
rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	0.999	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	0.999	0.000
rs2639889 lBF = `-0.0253793` Chr`16` : `61,123,147`	0.000	0.999	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	0.999	0.000
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.000	0.999	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.999	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.999	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	0.999	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.000	0.999	0.000
rs12930096 lBF = `-0.0558097` Chr`16` : `11,670,758`	0.000	0.999	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	0.999	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	0.999	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	0.999	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.999	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.999	0.000
rs8057551 lBF = `0.109268` Chr`16` : `27,434,927`	0.000	0.999	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.000	0.999	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	0.999	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.999	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.000	0.999	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	0.999	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.000	0.999	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	0.999	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	0.999	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	0.999	0.000
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	0.999	0.000
rs1122794 lBF = `-0.0813802` Chr`16` : `309,155`	0.000	0.999	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.000	0.999	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.999	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	0.999	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	0.999	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	0.999	0.000
rs2444217 lBF = `-0.0820759` Chr`16` : `4,038,387`	0.000	0.999	0.000
rs2531995 lBF = `-0.0915463` Chr`16` : `4,013,467`	0.000	0.999	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	0.999	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	0.999	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.999	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	0.999	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	0.999	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	0.999	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	0.999	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.000	0.999	0.000
rs6500395 lBF = `-0.0176278` Chr`16` : `48,621,402`	0.000	0.999	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	0.999	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	0.999	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	0.999	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	0.999	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	0.999	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	0.999	0.000
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	0.999	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	0.999	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.999	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.000	0.999	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	0.999	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	0.999	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	0.999	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	0.999	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	0.999	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.999	0.000
rs1981483 lBF = `0.0161886` Chr`16` : `630,665`	0.000	0.999	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	0.999	0.000
rs2017567 lBF = `0.00776491` Chr`16` : `637,212`	0.000	0.999	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	0.999	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	0.999	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	0.999	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	0.999	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	0.999	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.000	0.999	0.000
rs12600304 lBF = `-0.144173` Chr`16` : `58,022,136`	0.000	0.999	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	0.999	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.999	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	0.999	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	0.999	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	0.999	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	0.999	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	0.999	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	0.999	0.000
rs10871454 lBF = `1.50481` Chr`16` : `31,048,079`	0.000	0.999	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	0.999	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 X0059

log Bayes Factor = 922.497

contains 26 variants

0.7149

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7124

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7120

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7106

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7082

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7009

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6996

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6970

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6936

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6906

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6900

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6798

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6780

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6735

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.6712

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6703

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6688

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6669

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6649

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6635

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6624

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6600

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6563

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6543

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6535

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6532

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6524

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6497

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6458

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6448

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6435

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6432

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6410

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6382

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6379

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6369

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6309

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6294

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6288

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6271

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6258

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6236

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6195

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6188

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6187

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6159

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6108

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6005

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6004

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5971

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5842

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5818

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5818

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5816

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5807

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5800

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5731

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5693

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5674

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5673

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5672

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5667

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5618

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5595

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5585

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5569

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5564

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5529

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5517

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5515

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5498

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5492

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5466

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5459

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5455

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5450

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5439

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5430

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5404

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5401

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5371

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5340

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5339

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5320

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5315

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5313

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5293

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5287

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5248

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5204

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5167

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5139

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5137

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5125

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5080

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5061

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5057

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5046

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5044

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5040

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5038

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4959

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4952

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4950

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4873

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4854

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4802

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4770

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4760

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4744

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4718

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4607

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4521

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4418

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4414

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4229

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4216

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4204

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4173

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4092

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3829

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3812

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3715

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3705

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3702

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3621

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3612

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3572

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.3530

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3417

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3385

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.3327

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3276

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3158

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3135

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3117

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3052

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2972

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2958

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2787

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2760

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2723

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2696

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2536

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2491

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2377

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2336

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2210

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2192

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2176

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2128

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2104

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2042

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2030

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1958

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1868

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1829

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1748

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1724

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1637

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1629

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1542

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1520

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1413

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.1367

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.1294

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1277

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1069

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1002

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0992

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0972

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0918

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0847

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0845

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.0780

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0741

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0737

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.0735

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0718

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0699

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0655

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0616

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0594

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0571

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0537

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.0521

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0509

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0509

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`)