TreeWAS – [M79.79] Fibromyalgia (Site unspecified)

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.925	0.075	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.896	0.104	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.882	0.118	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.832	0.168	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.821	0.179	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.785	0.215	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.783	0.217	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.778	0.222	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.680	0.320	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.657	0.343	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.634	0.366	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.588	0.412	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.588	0.412	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.560	0.440	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.553	0.446	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.543	0.457	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.534	0.466	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.533	0.466	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.528	0.472	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.508	0.492	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.507	0.493	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.497	0.503	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.474	0.526	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.457	0.543	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.452	0.548	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.443	0.557	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.441	0.559	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.434	0.566	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.429	0.571	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.427	0.573	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.426	0.574	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.423	0.576	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.422	0.578	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.416	0.584	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.414	0.586	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.414	0.586	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.406	0.594	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.403	0.597	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.398	0.602	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.392	0.608	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.392	0.608	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.390	0.610	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.377	0.623	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.368	0.631	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.368	0.632	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.367	0.632	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.358	0.642	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.355	0.645	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.347	0.653	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.346	0.653	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.340	0.659	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.339	0.660	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.339	0.661	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.336	0.664	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.330	0.670	0.001
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.330	0.670	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.322	0.678	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.318	0.682	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.318	0.682	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.313	0.686	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.311	0.689	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.309	0.691	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.306	0.694	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.303	0.697	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.301	0.699	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.299	0.700	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.291	0.709	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.283	0.717	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.258	0.742	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.252	0.748	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.247	0.753	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.246	0.754	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.240	0.760	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.238	0.762	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.233	0.766	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.230	0.769	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.230	0.770	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.222	0.777	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.214	0.785	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.211	0.789	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.203	0.797	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.201	0.799	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.200	0.799	0.001
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.197	0.803	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.192	0.808	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.188	0.812	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.186	0.813	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.184	0.815	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.180	0.820	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.178	0.822	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.172	0.827	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.154	0.845	0.001
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.149	0.851	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.144	0.856	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.141	0.859	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.140	0.859	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.140	0.860	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.140	0.860	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.136	0.863	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.130	0.870	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.127	0.872	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.126	0.873	0.001
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.125	0.875	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.124	0.876	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.122	0.878	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.119	0.881	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.118	0.882	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.113	0.886	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.113	0.886	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.114	0.886	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.108	0.889	0.003
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.109	0.891	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.105	0.894	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.097	0.902	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.097	0.903	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.095	0.905	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.093	0.906	0.001
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.093	0.907	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.092	0.908	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.089	0.911	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.088	0.912	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.084	0.915	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.084	0.915	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.079	0.921	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.075	0.925	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.074	0.926	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.072	0.927	0.002
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.071	0.928	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.066	0.934	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.064	0.936	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.062	0.937	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.056	0.944	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.055	0.945	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.051	0.949	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.049	0.951	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.049	0.951	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.049	0.951	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.048	0.951	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.048	0.952	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.047	0.953	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.046	0.953	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.046	0.954	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.045	0.954	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.041	0.956	0.003
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.044	0.956	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.043	0.957	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.042	0.958	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.042	0.958	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.041	0.959	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.039	0.961	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.037	0.963	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.036	0.963	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.035	0.965	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.035	0.965	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.032	0.968	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.029	0.970	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.029	0.971	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.029	0.971	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.029	0.971	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.028	0.972	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.027	0.973	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.027	0.973	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.026	0.973	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.026	0.974	0.000
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	0.975	0.025
rs7203193 lBF = `-0.099666` Chr`16` : `11,641,180`	0.025	0.975	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.021	0.978	0.001
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.020	0.979	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.020	0.980	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.018	0.982	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.016	0.984	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.016	0.984	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.015	0.985	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.015	0.985	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.014	0.986	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.013	0.986	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.013	0.987	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.013	0.987	0.000
rs154657 lBF = `2.72053` Chr`16` : `89,708,096`	0.011	0.989	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.011	0.989	0.000
rs164748 lBF = `2.78549` Chr`16` : `89,708,292`	0.009	0.991	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.008	0.992	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.008	0.992	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.008	0.992	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.008	0.992	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.008	0.992	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.992	0.008
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	0.992	0.008
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	0.993	0.007
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	0.993	0.007
rs8192935 lBF = `-0.0293905` Chr`16` : `55,861,794`	0.007	0.993	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.007	0.993	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.007	0.993	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.006	0.994	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.006	0.994	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.006	0.994	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.005	0.994	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.005	0.995	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.004	0.996	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.004	0.996	0.000
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rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.001	0.999	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.001	0.999	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	0.999	0.001
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.001	0.999	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.001	0.999	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.001	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.001	0.999	0.000
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	0.999	0.001
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.001	0.999	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.001	0.999	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	0.999	0.001
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.001	0.999	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.000	0.999	0.001
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.001	0.999	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.001	0.999	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.001	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.001	0.999	0.000
rs1801275 lBF = `-0.0517617` Chr`16` : `27,374,400`	0.000	0.999	0.001
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	0.999	0.001
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.001	0.999	0.000
rs3784962 lBF = `-0.11486` Chr`16` : `83,757,328`	0.000	0.999	0.001
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.999	0.001
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.001	0.999	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.001	0.999	0.000
rs12597084 lBF = `-0.0936541` Chr`16` : `5,819,620`	0.000	0.999	0.001
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.001	0.999	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.001	0.999	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.001	0.999	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.001	0.999	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.001	0.999	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.001	0.999	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.001	0.999	0.000
rs12921479 lBF = `0.0503565` Chr`16` : `88,929,207`	0.000	0.999	0.001
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.999	0.001
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.001	0.999	0.000
rs12919130 lBF = `-0.0200803` Chr`16` : `20,126,974`	0.001	0.999	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.001	0.999	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.001	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	0.999	0.001
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.000	0.999	0.001
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.001	0.999	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.000	0.999	0.001
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.000	0.999	0.000
rs7405404 lBF = `-0.0111953` Chr`16` : `13,749,859`	0.001	0.999	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.001	0.999	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.001	0.999	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.000	0.999	0.001
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.000	0.999	0.001
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.001	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.001
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	0.999	0.001
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.001
rs11641365 lBF = `2.66723` Chr`16` : `88,773,893`	0.001	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.001	0.999	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.001	0.999	0.000
rs9924951 lBF = `-0.0917043` Chr`16` : `7,504,854`	0.001	0.999	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.001	0.999	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.001	0.999	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.001	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.001	0.999	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.001	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.001	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.001	0.999	0.000
rs12928939 lBF = `-0.0426123` Chr`16` : `71,800,045`	0.001	0.999	0.000
rs391525 lBF = `-0.103562` Chr`16` : `85,944,439`	0.001	0.999	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.001	0.999	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.001	0.999	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.001	0.999	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.001	0.999	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.001	0.999	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.001	0.999	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.001	0.999	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.999	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.000	0.999	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	0.999	0.001
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.000	0.999	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	0.999	0.001
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.001	0.999	0.000
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.001	0.999	0.000
rs11647589 lBF = `-0.0210411` Chr`16` : `20,449,616`	0.001	0.999	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.001	0.999	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	0.999	0.001
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	0.999	0.001
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	0.999	0.001
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.000	0.999	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.001
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.001	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.001	0.999	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	0.999	0.001
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.000	0.999	0.001
rs4581712 lBF = `1.08755` Chr`16` : `80,497,601`	0.000	0.999	0.001

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 X0160

log Bayes Factor = 99.5328

contains 9 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9986

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9984

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9975

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9966

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9926

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9862

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9775

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9734

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9726

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9647

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9400

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9303

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9271

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9270

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9193

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9171

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9147

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9118

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8960

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8952

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8891

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8852

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8843

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8830

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8669

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8655

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8589

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8571

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8520

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8477

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8320

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8320

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8303

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8247

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8188

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8165

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8009

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7993

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7973

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7965

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7935

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7917

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7878

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7826

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7801

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7582

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7565

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7556

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7490

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7427

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.7367

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7354

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7314

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7294

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7259

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7158

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7150

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7129

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7027

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6950

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6931

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6905

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6851

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6789

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6690

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6681

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6671

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6538

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6485

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6431

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6425

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6388

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6365

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6350

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6279

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6132

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6107

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6102

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6086

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6002

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5985

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5804

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5792

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5762

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5753

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5751

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5686

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5605

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5562

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5389

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5312

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4967

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4929

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4791

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4787

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4597

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4554

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4526

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4511

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4278

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4265

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4252

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4231

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4141

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4027

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3828

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3745

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3714

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3673

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3548

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3470

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3449

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3307

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3295

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3196

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3163

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3127

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2976

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2967

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2861

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2800

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2750

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2651

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2642

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2627

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2565

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2557

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2342

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2273

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2246

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2225

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2224

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2041

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1920

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1905

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1887

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1874

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1842

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1810

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1715

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1643

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1639

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1594

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1590

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1364

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1353

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.1304

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1274

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1240

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1215

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1199

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1188

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1171

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.1130

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1023

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0990

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0976

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0972

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0945

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0891

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0861

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0859

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0847

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0839

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0744

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0652

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0637

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0621

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0592

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0586

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0559

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0548

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0531

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0517

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0510

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`)