TreeWAS – [G55.3] Nerve root and plexus compressions in other dorsopathies

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
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.845	0.155	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.802	0.198	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.675	0.325	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.675	0.325	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.672	0.328	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.633	0.367	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.625	0.375	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.616	0.384	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.606	0.394	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.591	0.408	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.542	0.458	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.539	0.461	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.535	0.465	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.527	0.473	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.520	0.480	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.517	0.482	0.001
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.510	0.490	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.496	0.504	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.496	0.504	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.487	0.512	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.486	0.514	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.484	0.516	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.483	0.517	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.481	0.519	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.472	0.528	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.465	0.535	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.455	0.545	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.451	0.549	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.450	0.550	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.450	0.550	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.445	0.555	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.429	0.571	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.421	0.579	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.402	0.598	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.402	0.598	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.395	0.605	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.370	0.630	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.346	0.654	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.345	0.655	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.341	0.659	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.336	0.663	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.320	0.679	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.315	0.685	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.311	0.689	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.309	0.691	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.308	0.692	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.306	0.693	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.306	0.694	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.302	0.698	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.301	0.698	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.294	0.706	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.292	0.708	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.289	0.711	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.287	0.713	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.279	0.721	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.275	0.725	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.269	0.731	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.266	0.734	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.261	0.738	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.260	0.740	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.258	0.742	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.253	0.747	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.248	0.752	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.242	0.758	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.237	0.763	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.237	0.763	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.236	0.764	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.234	0.766	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.230	0.770	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.229	0.771	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.228	0.771	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.224	0.776	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.222	0.777	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.221	0.779	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.213	0.786	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.213	0.787	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.211	0.789	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.206	0.794	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.206	0.794	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.201	0.799	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.199	0.801	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.197	0.803	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.184	0.816	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.184	0.816	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.182	0.818	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.181	0.819	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.181	0.819	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.177	0.823	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.177	0.823	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.174	0.826	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.172	0.828	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.170	0.830	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.169	0.831	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.166	0.834	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.163	0.836	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.163	0.837	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.162	0.837	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.154	0.846	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.153	0.847	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.143	0.857	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.142	0.857	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.137	0.862	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.136	0.864	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.130	0.870	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.128	0.872	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.120	0.880	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.119	0.880	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.119	0.881	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.117	0.883	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.115	0.884	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.109	0.890	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.107	0.893	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.105	0.895	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.103	0.896	0.001
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.102	0.898	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.097	0.902	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.096	0.903	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.095	0.905	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.094	0.906	0.001
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.094	0.906	0.001
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.094	0.906	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.091	0.909	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.090	0.909	0.001
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.084	0.914	0.002
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.082	0.918	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.081	0.918	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.073	0.926	0.001
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.072	0.928	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.069	0.931	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.069	0.931	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.065	0.934	0.001
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.063	0.935	0.002
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.064	0.936	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.059	0.939	0.002
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.060	0.940	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.056	0.943	0.002
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.057	0.943	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.057	0.943	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.056	0.943	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.054	0.946	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.053	0.946	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.051	0.949	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.050	0.950	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.042	0.958	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.040	0.959	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.039	0.961	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.038	0.961	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.038	0.962	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.038	0.962	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.035	0.964	0.001
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.035	0.965	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.034	0.965	0.001
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.034	0.966	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.033	0.967	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.032	0.968	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.027	0.972	0.001
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.027	0.973	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.024	0.976	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.024	0.976	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.023	0.977	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.023	0.977	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.022	0.977	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.021	0.979	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.014	0.980	0.006
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.020	0.980	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.017	0.983	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.016	0.984	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.016	0.984	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.015	0.985	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.015	0.985	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.015	0.985	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.012	0.988	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.988	0.012
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.011	0.989	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.011	0.989	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.009	0.991	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.009	0.991	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.008	0.991	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.007	0.993	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.005	0.995	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.005	0.995	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.004	0.995	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.004	0.995	0.000
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	0.000	0.995	0.005
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.004	0.996	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.004	0.996	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.996	0.000
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.000	0.996	0.004
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.004	0.996	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.004	0.996	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.004	0.996	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.003	0.996	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.003	0.997	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.997	0.003
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.003	0.997	0.000
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.000	0.997	0.003
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.002	0.997	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.002	0.997	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.002	0.997	0.000
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rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	1.000	0.000
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	1.000	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs7203315 lBF = `-0.0477223` Chr`16` : `10,188,060`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.000	1.000	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs1858800 lBF = `0.0593995` Chr`16` : `73,024,276`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	1.000	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	1.000	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs16973500 lBF = `-0.0273899` Chr`16` : `71,965,196`	0.000	1.000	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	1.000	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.000	1.000	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	1.000	0.000
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs2965946 lBF = `7.96796` Chr`16` : `89,516,612`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.000	1.000	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.000	1.000	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.000	1.000	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.000	1.000	0.000
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs889573 lBF = `7.12365` Chr`16` : `89,437,560`	0.000	1.000	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	1.000	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs12446301 lBF = `-0.00486397` Chr`16` : `82,697,661`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	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)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4292

Cluster X0331

log Bayes Factor = 5.0262

contains 1 variants

0.0914

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9879

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9833

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9821

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9782

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9769

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9730

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9669

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9657

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9640

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9608

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9598

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9577

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9572

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9469

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9419

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9349

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9282

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9079

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9061

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8993

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8988

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8982

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8838

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8786

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8599

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8531

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8447

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8323

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8272

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8232

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8152

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8038

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7996

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7944

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7845

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7780

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7655

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7629

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7528

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7453

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7432

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7332

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7294

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7219

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7151

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7000

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6989

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6962

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6789

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6766

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6763

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6724

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6655

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6627

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6623

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6512

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6334

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6265

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6158

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6134

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6055

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5872

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5762

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5630

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5564

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5557

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5376

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5342

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5307

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5151

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5143

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5073

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5010

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4978

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4966

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4878

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4697

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4441

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4435

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4309

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4250

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4230

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4178

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4126

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4025

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3925

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3805

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3637

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3529

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3426

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3339

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3333

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3282

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3255

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3149

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3092

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.2936

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2801

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.2790

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2757

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2755

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2721

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2705

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2703

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2691

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2532

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2521

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2515

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2455

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2439

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2360

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2294

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2216

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2193

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2181

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2144

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2096

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2063

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2058

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2023

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1980

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1961

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1933

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1776

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1774

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1693

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1687

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1666

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1594

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1572

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1451

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1408

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1404

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1305

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1272

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1180

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0998

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.0963

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0935

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0893

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0804

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0783

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0765

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0764

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0686

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0627

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0613

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0536

Cluster X0238

log Bayes Factor = 97.9307

contains 4 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`)