TreeWAS – [D10.3] Other and unspecified parts of mouth

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
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.694	0.306	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.626	0.374	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.609	0.390	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.609	0.391	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.574	0.425	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.558	0.441	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.552	0.448	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.514	0.486	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.508	0.492	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.507	0.493	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.504	0.496	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.504	0.496	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.501	0.498	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.492	0.508	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.482	0.518	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.476	0.524	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.464	0.536	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.462	0.538	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.461	0.538	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.459	0.540	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.452	0.548	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.439	0.561	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.405	0.595	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.404	0.596	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.398	0.602	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.370	0.630	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.367	0.633	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.366	0.634	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.362	0.638	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.362	0.638	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.361	0.639	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.350	0.650	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.341	0.659	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.322	0.678	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.313	0.687	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.310	0.690	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.310	0.690	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.307	0.693	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.292	0.708	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.290	0.710	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.290	0.710	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.283	0.717	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.270	0.730	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.267	0.732	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.263	0.737	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.252	0.747	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.252	0.748	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.251	0.749	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.242	0.758	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.232	0.768	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.227	0.773	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.225	0.775	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	0.776	0.224
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.210	0.789	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.204	0.796	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.202	0.797	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.201	0.799	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.199	0.801	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.184	0.816	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.183	0.817	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.171	0.828	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.168	0.832	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.152	0.848	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.150	0.849	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.148	0.852	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.147	0.853	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.143	0.857	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.143	0.857	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.142	0.858	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.138	0.862	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.132	0.868	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.131	0.869	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.130	0.869	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.130	0.870	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.128	0.871	0.001
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.123	0.876	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.118	0.882	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.116	0.884	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.115	0.885	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.113	0.887	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.108	0.891	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.108	0.892	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.102	0.898	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.098	0.902	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.098	0.902	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.097	0.903	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.096	0.904	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.095	0.905	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.094	0.906	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.089	0.911	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.087	0.912	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.086	0.914	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.078	0.922	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.074	0.926	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.073	0.927	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.067	0.932	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.060	0.939	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.059	0.941	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.059	0.941	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.058	0.942	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.053	0.947	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.052	0.948	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.051	0.949	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.046	0.954	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.046	0.954	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.044	0.956	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.044	0.956	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.041	0.959	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.041	0.959	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.038	0.962	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.038	0.962	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.038	0.962	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.036	0.964	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.035	0.964	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.035	0.965	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.033	0.967	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.032	0.968	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.031	0.969	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.031	0.969	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.030	0.970	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.029	0.971	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.027	0.972	0.001
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.027	0.973	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.026	0.974	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.026	0.974	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.974	0.025
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.023	0.977	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.020	0.980	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.019	0.981	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.017	0.982	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.017	0.983	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.016	0.984	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.016	0.984	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.985	0.014
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.013	0.987	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.013	0.987	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.012	0.987	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.011	0.988	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.010	0.990	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.010	0.990	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.009	0.990	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.008	0.991	0.000
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.000	0.992	0.008
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.008	0.992	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.007	0.992	0.001
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.008	0.992	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.006	0.992	0.002
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.008	0.992	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.007	0.993	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.993	0.007
rs887864 lBF = `2.20181` Chr`16` : `11,158,885`	0.007	0.993	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.007	0.993	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.006	0.993	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.006	0.994	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.005	0.994	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.005	0.995	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.005	0.995	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.005	0.995	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.000	0.995	0.005
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.005	0.995	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	0.995	0.005
rs36045143 lBF = `8.58538` Chr`16` : `11,224,966`	0.000	0.996	0.004
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.004	0.996	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.004	0.996	0.000
rs12708716 lBF = `2.36776` Chr`16` : `11,179,873`	0.000	0.996	0.004
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.004	0.996	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.004	0.996	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.004	0.996	0.000
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.004	0.996	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.004	0.996	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.003	0.996	0.000
rs7203459 lBF = `7.36315` Chr`16` : `11,230,703`	0.000	0.997	0.003
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.003	0.997	0.000
rs4985155 lBF = `0.00464272` Chr`16` : `15,129,459`	0.003	0.997	0.000
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.003	0.997	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.003	0.997	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.003	0.997	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.003	0.997	0.001
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.003	0.997	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.003	0.997	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.997	0.001
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	0.997	0.003
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.003	0.997	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	0.997	0.003
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.003	0.997	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.997	0.003
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.003	0.997	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	0.997	0.003
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.002	0.997	0.000
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.000	0.998	0.002
rs10871290 lBF = `0.0578648` Chr`16` : `74,472,696`	0.000	0.998	0.002
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.002	0.998	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.002	0.998	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.002	0.998	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	0.998	0.002
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rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	0.999	0.001
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	0.999	0.001
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.999	0.001
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.999	0.001
rs250585 lBF = `0.271344` Chr`16` : `23,401,076`	0.000	0.999	0.001
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.001
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	0.999	0.001
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.001
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.001	0.999	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.000	0.999	0.001
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.001	0.999	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.001	0.999	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	0.999	0.001
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.000	0.999	0.001
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.000	0.999	0.001
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	0.001
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.001	0.999	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.001	0.999	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	0.999	0.001
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.999	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	0.999	0.001
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.001	0.999	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	0.999	0.001
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.001	0.999	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	0.999	0.001
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.999	0.001
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.001	0.999	0.000
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.001	0.999	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.000	0.999	0.000
rs4788815 lBF = `0.00548933` Chr`16` : `71,634,811`	0.001	0.999	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.001	0.999	0.000
rs12444261 lBF = `-0.0772295` Chr`16` : `11,734,642`	0.000	0.999	0.001
rs305080 lBF = `-0.0959654` Chr`16` : `85,941,774`	0.000	0.999	0.001
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.000	0.999	0.001
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.001	0.999	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.999	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.999	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	0.999	0.001
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	0.999	0.001
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	0.999	0.000
rs1143679 lBF = `-0.0497247` Chr`16` : `31,276,811`	0.000	0.999	0.001
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.001	0.999	0.000
rs3813579 lBF = `2.92185` Chr`16` : `79,749,276`	0.001	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.000	0.999	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	0.999	0.001
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.001	0.999	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.999	0.001
rs11649311 lBF = `-0.0803119` Chr`16` : `25,226,020`	0.000	0.999	0.000
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.001	0.999	0.000
rs2080501 lBF = `-0.113713` Chr`16` : `49,643,566`	0.001	0.999	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.999	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.999	0.000
rs2047937 lBF = `0.174104` Chr`16` : `49,864,791`	0.000	0.999	0.001
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	0.999	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.999	0.000
rs7186128 lBF = `0.0257583` Chr`16` : `16,957,915`	0.000	0.999	0.001
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.001	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.000	0.999	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	0.999	0.001
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.000	0.999	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	0.999	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.000	0.999	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.999	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.999	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	0.999	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.999	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	0.999	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	0.999	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.999	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.000	0.999	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	0.999	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	0.999	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.999	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	0.999	0.000
rs3865188 lBF = `-0.0810088` Chr`16` : `82,650,717`	0.000	0.999	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.000	1.000	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.1346

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0973

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9856

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9779

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9712

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9697

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9672

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9652

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9602

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9461

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9456

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9337

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9331

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9277

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9063

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9020

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8973

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8794

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8722

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8635

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8551

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8504

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8500

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8446

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8443

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8441

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8380

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8318

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8207

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8083

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8074

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8022

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7982

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7967

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7950

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7818

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7761

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7578

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7569

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7555

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7377

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7370

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7349

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7339

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7330

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7299

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7280

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7240

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7121

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6989

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6908

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6901

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6854

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6596

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6472

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6459

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6339

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6196

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6173

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5982

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5929

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5823

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5665

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5493

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5314

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5283

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5210

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5204

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5152

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4836

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4734

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4731

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4678

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.4646

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4620

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4376

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4356

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4327

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4259

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4178

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4175

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4060

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3982

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3910

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3904

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3873

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3838

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3772

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3758

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3601

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3543

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3266

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3171

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3148

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3127

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.3073

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2940

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2916

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2896

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2741

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2473

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2340

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2308

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2305

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2145

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2094

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1958

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1935

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1819

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1779

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1759

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1691

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1495

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1462

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1420

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1288

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1224

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1140

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1051

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1029

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1025

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0931

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0857

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0739

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0732

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0730

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0730

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0626

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0608

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0587

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0581

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0562

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0517

Cluster X0222

log Bayes Factor = 431.582

contains 17 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`)