TreeWAS – [M54.46] Lumbago with sciatica (Lumbar 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
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.812	0.188	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.752	0.248	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.696	0.304	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.624	0.376	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.604	0.396	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.599	0.401	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.599	0.401	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.595	0.405	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.582	0.418	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.575	0.425	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.566	0.434	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.561	0.439	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.554	0.446	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.539	0.461	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.533	0.467	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.528	0.472	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.528	0.472	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.509	0.491	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.509	0.491	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.501	0.498	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.500	0.500	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.487	0.513	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.459	0.541	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.455	0.545	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.453	0.547	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.453	0.547	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.450	0.549	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.444	0.556	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.438	0.562	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.436	0.564	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.427	0.572	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.427	0.573	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.421	0.579	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.410	0.590	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.410	0.590	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.407	0.593	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.407	0.593	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.403	0.597	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.395	0.605	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.384	0.616	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.376	0.624	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.370	0.630	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.359	0.640	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.357	0.643	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.350	0.650	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.343	0.657	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.342	0.658	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.336	0.664	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.328	0.672	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.326	0.673	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.316	0.683	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.314	0.685	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.307	0.692	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.303	0.697	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.297	0.702	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.295	0.705	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.295	0.705	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.294	0.706	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.291	0.708	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.289	0.711	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.287	0.713	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.279	0.721	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.274	0.726	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.272	0.728	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.265	0.735	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.265	0.735	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.263	0.737	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.259	0.741	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.248	0.752	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.246	0.754	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.244	0.756	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.241	0.758	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.231	0.769	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.221	0.778	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.220	0.779	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.219	0.781	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.212	0.788	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.209	0.791	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.208	0.791	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.207	0.793	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.207	0.793	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.202	0.798	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.200	0.799	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.200	0.799	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.199	0.801	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.194	0.806	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.192	0.807	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.180	0.819	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.166	0.833	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.159	0.841	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.152	0.847	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.151	0.849	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.151	0.849	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.150	0.850	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.149	0.851	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.148	0.852	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.145	0.854	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.145	0.855	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.143	0.856	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.138	0.861	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.137	0.863	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.136	0.864	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.132	0.868	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.128	0.872	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.122	0.878	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.118	0.882	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.116	0.884	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.114	0.885	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.114	0.886	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.114	0.886	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.111	0.888	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.111	0.889	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.105	0.894	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.103	0.896	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.100	0.900	0.001
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.098	0.902	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.095	0.905	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.095	0.905	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.094	0.906	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.094	0.906	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.088	0.912	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.088	0.912	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.084	0.916	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.078	0.922	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.077	0.923	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.074	0.926	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.072	0.927	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.070	0.929	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.067	0.933	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.066	0.933	0.001
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.065	0.934	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.061	0.939	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.059	0.941	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.055	0.945	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.052	0.948	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.050	0.950	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.050	0.950	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.048	0.952	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.044	0.955	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.042	0.958	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.039	0.961	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.038	0.962	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.031	0.969	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.000	0.969	0.031
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.030	0.970	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.029	0.971	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.029	0.971	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.028	0.971	0.001
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.027	0.973	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.027	0.973	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.026	0.974	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.024	0.976	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.022	0.978	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.021	0.979	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.020	0.980	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.020	0.980	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.018	0.982	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.017	0.983	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.015	0.985	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.985	0.015
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.001	0.985	0.014
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.014	0.986	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.014	0.986	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	0.987	0.012
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.011	0.989	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.004	0.990	0.007
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.010	0.990	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.006	0.992	0.002
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.008	0.992	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.007	0.993	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.006	0.994	0.000
rs6498482 lBF = `-0.076711` Chr`16` : `13,987,719`	0.006	0.994	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.005	0.995	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.005	0.995	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.005	0.995	0.001
rs1044873 lBF = `-0.103001` Chr`16` : `85,955,671`	0.000	0.995	0.005
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.005	0.995	0.000
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.005	0.995	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	0.995	0.005
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.005	0.995	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.005	0.995	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.995	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.995	0.005
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.004	0.996	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.004	0.996	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.996	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.004	0.996	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.003	0.997	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	0.997	0.003
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.997	0.003
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.000	0.997	0.003
rs17338034 lBF = `-0.0375197` Chr`16` : `51,357,482`	0.000	0.997	0.003
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.003	0.997	0.000
rs391023 lBF = `-0.105211` Chr`16` : `85,927,814`	0.000	0.997	0.003
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.003	0.997	0.000
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	0.997	0.003
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.003	0.997	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.003	0.997	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.003	0.997	0.000
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rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	0.999	0.001
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	0.999	0.001
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	0.999	0.001
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.001	0.999	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.001	0.999	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	0.999	0.001
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	0.999	0.001
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	0.999	0.001
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	0.999	0.001
rs11075747 lBF = `5.5427` Chr`16` : `69,940,361`	0.001	0.999	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	0.999	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	0.999	0.001
rs205391 lBF = `-0.066734` Chr`16` : `28,052,963`	0.001	0.999	0.000
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.001	0.999	0.000
rs444881 lBF = `0.289729` Chr`16` : `83,771,496`	0.000	0.999	0.001
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.001	0.999	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.001	0.999	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.001	0.999	0.000
rs2531995 lBF = `-0.0915463` Chr`16` : `4,013,467`	0.001	0.999	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	0.999	0.001
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.001	0.999	0.000
rs12921479 lBF = `0.0503565` Chr`16` : `88,929,207`	0.000	0.999	0.001
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	0.999	0.001
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.999	0.001
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	0.999	0.001
rs7194676 lBF = `-0.0614059` Chr`16` : `87,489,891`	0.000	0.999	0.001
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	0.999	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	0.999	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.001	0.999	0.000
rs11642231 lBF = `17.8952` Chr`16` : `89,608,702`	0.001	0.999	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	0.999	0.001
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.001
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.001	0.999	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.001	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.001	0.999	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	0.999	0.001
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.001	0.999	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	0.999	0.001
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	0.999	0.001
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.001	0.999	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	0.999	0.001
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.001	0.999	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.001	0.999	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.999	0.001
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	0.999	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	0.999	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.001	0.999	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.001	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.001	0.999	0.000
rs11861787 lBF = `-0.0554163` Chr`16` : `8,517,745`	0.000	0.999	0.001
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	0.999	0.001
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.000	0.999	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.999	0.000
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.000	0.999	0.001
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	0.999	0.001
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.999	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	0.999	0.001
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	0.999	0.001
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	0.999	0.000
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.001	0.999	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.999	0.001
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	0.999	0.001
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.000	0.999	0.001
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.000	0.999	0.001
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs886427 lBF = `-0.0938422` Chr`16` : `3,023,605`	0.001	0.999	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	0.999	0.001
rs34753377 lBF = `17.0207` Chr`16` : `89,609,418`	0.001	0.999	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	0.999	0.001
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	0.999	0.001
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	0.999	0.001
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.999	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	0.999	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.001	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	0.999	0.001
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	0.999	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	0.999	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	0.999	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.000	0.999	0.001
rs6564851 lBF = `-0.122217` Chr`16` : `81,264,597`	0.001	0.999	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.000	0.999	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.001	0.999	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	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 X0087

log Bayes Factor = 894.58

contains 26 variants

0.9998

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9973

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9877

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9743

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9726

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9703

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9689

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9640

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9593

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9504

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9500

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9474

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9470

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9395

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9331

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9319

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9313

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9244

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9058

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9036

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9025

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8946

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8927

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8729

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8672

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8538

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8488

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8484

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8456

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8421

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8407

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8385

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8333

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8325

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8218

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8172

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8171

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8110

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8026

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7976

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7880

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7780

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7753

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7565

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7507

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7460

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7450

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7405

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7354

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7238

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7222

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7172

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7159

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7154

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7077

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6960

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6952

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6934

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6933

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6913

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6889

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6868

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6633

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6521

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6481

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6372

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6279

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6216

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6145

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6127

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6083

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6078

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6019

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6006

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5977

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5964

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5946

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5942

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5897

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5851

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5821

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5800

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5763

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5743

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5735

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5674

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5583

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5421

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5355

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5191

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5119

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5073

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5047

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.4943

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4942

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4891

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4891

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4890

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4859

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4703

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4683

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4658

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4591

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4582

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4481

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4410

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4357

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4331

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4298

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4164

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4131

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4092

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4038

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3826

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3800

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3677

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3645

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3596

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3413

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3281

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3204

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.3124

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2998

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2968

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2860

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2855

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2796

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2755

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2595

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2529

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2528

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2525

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2381

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2278

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2256

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2173

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2061

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2023

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1989

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1879

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1842

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1822

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1709

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1706

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1702

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1693

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1624

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1605

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1577

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1493

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1425

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1382

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1289

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1268

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1214

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1183

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1166

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1039

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1006

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.0994

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0943

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0846

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0805

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.0791

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0660

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0655

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.0636

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0616

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0550

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`)