TreeWAS – [Z03.3] Observation for suspected nervous system disorder

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
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.768	0.232	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.761	0.238	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.727	0.273	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.726	0.274	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.711	0.288	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.696	0.304	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.665	0.335	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.597	0.402	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.592	0.408	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.590	0.410	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.588	0.412	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.546	0.454	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.523	0.476	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.499	0.501	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.485	0.515	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.469	0.531	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.469	0.531	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.458	0.542	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.445	0.555	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.442	0.558	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.429	0.571	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.414	0.585	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.413	0.587	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.411	0.589	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.387	0.613	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.385	0.615	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.383	0.616	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.376	0.624	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.351	0.649	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.341	0.659	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.331	0.669	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.323	0.677	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.316	0.684	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.301	0.698	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.298	0.702	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.270	0.730	0.001
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.236	0.763	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.220	0.780	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.208	0.792	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.208	0.792	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.207	0.793	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.195	0.805	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.181	0.819	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.170	0.829	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.164	0.836	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.137	0.863	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.136	0.864	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.135	0.865	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.126	0.874	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.113	0.887	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.110	0.890	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.093	0.906	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.093	0.907	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.088	0.911	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.084	0.916	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.083	0.917	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.918	0.082
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.077	0.923	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.077	0.923	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.076	0.924	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.065	0.935	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.064	0.936	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.059	0.941	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.058	0.941	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.050	0.949	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.050	0.950	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.049	0.951	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.048	0.952	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.043	0.956	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.038	0.961	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.038	0.962	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.037	0.963	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.035	0.964	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.035	0.965	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.034	0.966	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.033	0.967	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.033	0.967	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.031	0.968	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.030	0.969	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.030	0.970	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.028	0.971	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.028	0.972	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.026	0.974	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.026	0.974	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.025	0.974	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.023	0.977	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.022	0.978	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.978	0.022
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.021	0.979	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.020	0.979	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.020	0.980	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.019	0.981	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.019	0.981	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.017	0.983	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.016	0.984	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.012	0.987	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.011	0.989	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.011	0.989	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.006	0.989	0.006
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.010	0.990	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.010	0.990	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.010	0.990	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.010	0.990	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.009	0.991	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.009	0.991	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.008	0.992	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.008	0.992	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.008	0.992	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.007	0.993	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.007	0.993	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.006	0.993	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.006	0.994	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.006	0.994	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.006	0.994	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.006	0.994	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.005	0.995	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.005	0.995	0.001
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.005	0.995	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.005	0.995	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.005	0.995	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.005	0.995	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.005	0.995	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.005	0.995	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.004	0.996	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.004	0.996	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.004	0.996	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.003	0.997	0.001
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.003	0.997	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.003	0.997	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.003	0.997	0.000
rs17761993 lBF = `-0.0454639` Chr`16` : `24,508,299`	0.003	0.997	0.000
rs1122794 lBF = `-0.0813802` Chr`16` : `309,155`	0.000	0.997	0.003
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.003	0.997	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.002	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.997	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.002	0.998	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.002	0.998	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	0.998	0.002
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.002	0.998	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.998	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.001	0.998	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.001	0.998	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	0.999	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.001	0.999	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	0.999	0.001
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs8045405 lBF = `-0.11052` Chr`16` : `8,503,222`	0.000	0.999	0.001
rs7405404 lBF = `-0.0111953` Chr`16` : `13,749,859`	0.000	0.999	0.001
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.001	0.999	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.001	0.999	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.001	0.999	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.001	0.999	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.001	0.999	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.001	0.999	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.001	0.999	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.001	0.999	0.000
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.001	0.999	0.000
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
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rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.000	1.000	0.000
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.000	1.000	0.000
rs424971 lBF = `-0.126894` Chr`16` : `85,946,450`	0.000	1.000	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs423674 lBF = `0.0653803` Chr`16` : `11,373,405`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs529866 lBF = `0.0630112` Chr`16` : `11,373,320`	0.000	1.000	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.000	1.000	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	1.000	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	1.000	0.000
rs435746 lBF = `-0.0733833` Chr`16` : `77,916,191`	0.000	1.000	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	1.000	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs391023 lBF = `-0.105211` Chr`16` : `85,927,814`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	1.000	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	1.000	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.000	1.000	0.000
rs11549837 lBF = `7.58732` Chr`16` : `88,779,739`	0.000	1.000	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	1.000	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	1.000	0.000
rs9928084 lBF = `5.80898` Chr`16` : `90,105,726`	0.000	1.000	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.000	1.000	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.000	1.000	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.000	1.000	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs1079572 lBF = `-0.0273694` Chr`16` : `78,187,138`	0.000	1.000	0.000
rs737008 lBF = `-0.028452` Chr`16` : `11,374,866`	0.000	1.000	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	1.000	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	1.000	0.000
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	1.000	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs763014 lBF = `-0.0101051` Chr`16` : `675,680`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs71386933 lBF = `-0.0153866` Chr`16` : `71,821,800`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.2596

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0816

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9833

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9777

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9639

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9540

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9501

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9363

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9248

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9196

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8791

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8782

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8647

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8342

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8078

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7906

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7616

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7588

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7138

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7028

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6978

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6647

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6381

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6022

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5908

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5898

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5791

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5660

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5338

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5300

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5012

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4976

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4367

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4325

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4219

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4130

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3399

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3311

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3183

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3139

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2745

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2707

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2632

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2590

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2424

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2231

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2157

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2027

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1944

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1798

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1682

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1575

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1395

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1382

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1316

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1277

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1219

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1150

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.1102

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1100

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0944

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0917

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0801

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0751

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0630

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0618

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0547

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0519

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0514

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`)