TreeWAS – [Z97.0] Presence of artificial eye

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
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.640	0.360	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.619	0.381	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.608	0.392	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.602	0.397	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.596	0.404	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.566	0.434	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.565	0.435	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.562	0.438	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.558	0.442	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.557	0.443	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.552	0.448	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.547	0.453	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.545	0.455	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.543	0.457	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.537	0.463	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.532	0.468	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.521	0.479	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.511	0.489	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.510	0.490	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.501	0.498	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.497	0.503	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.494	0.506	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.492	0.508	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.492	0.508	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.484	0.516	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.484	0.516	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.473	0.527	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.472	0.528	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.465	0.534	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.457	0.543	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.552	0.448
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.434	0.566	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.431	0.569	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.430	0.570	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.427	0.573	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.419	0.581	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.414	0.585	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.413	0.586	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.413	0.587	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.397	0.603	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.396	0.603	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.395	0.604	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.377	0.623	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.370	0.629	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.370	0.630	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.341	0.659	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.326	0.674	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.325	0.675	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.314	0.685	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.310	0.690	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.302	0.698	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.283	0.717	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.260	0.740	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.254	0.746	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.240	0.760	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.229	0.770	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.227	0.773	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.218	0.782	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.207	0.793	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.142	0.858	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.126	0.874	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.122	0.878	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.087	0.913	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.079	0.921	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.079	0.921	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.078	0.922	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.074	0.925	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.074	0.926	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.072	0.927	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.071	0.928	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.061	0.939	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.058	0.942	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.053	0.947	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.052	0.948	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.051	0.949	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.049	0.951	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.045	0.954	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.045	0.954	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.041	0.959	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.039	0.961	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.037	0.962	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.037	0.962	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.031	0.969	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.030	0.970	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.029	0.971	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.029	0.971	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.028	0.972	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.021	0.978	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.021	0.978	0.000
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.017	0.983	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.017	0.983	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.016	0.984	0.000
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.012	0.988	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.012	0.988	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.011	0.989	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.010	0.990	0.000
rs16945894 lBF = `0.209647` Chr`16` : `48,180,110`	0.009	0.991	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.008	0.992	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.008	0.992	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.007	0.993	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.006	0.994	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.006	0.994	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.006	0.994	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.005	0.995	0.000
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.005	0.995	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.004	0.996	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.004	0.996	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.004	0.996	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.004	0.996	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.004	0.996	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.004	0.996	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.003	0.997	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.003	0.997	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.003	0.997	0.000
rs371915 lBF = `-0.0425529` Chr`16` : `84,578,241`	0.003	0.997	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.003	0.997	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.003	0.997	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	0.997	0.003
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.003	0.997	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.003	0.997	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.997	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.003	0.997	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.002	0.997	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.003	0.997	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.997	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.003	0.997	0.000
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.002	0.998	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.002	0.998	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.002	0.998	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.002	0.998	0.000
rs4081947 lBF = `-0.057193` Chr`16` : `87,579,870`	0.002	0.998	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.002	0.998	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.002	0.998	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.002	0.998	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.002	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.002	0.998	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.002	0.998	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.002	0.998	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.000	0.998	0.002
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	0.998	0.002
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.002	0.998	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.002	0.998	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.002	0.998	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.002	0.998	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.002	0.998	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.001	0.998	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.002	0.998	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.001	0.998	0.001
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.001	0.998	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.001	0.998	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.000	0.998	0.001
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	0.998	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.001	0.998	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.001	0.999	0.000
rs6563943 lBF = `-0.0859058` Chr`16` : `83,639,335`	0.000	0.999	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.001	0.999	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	0.999	0.001
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs11074779 lBF = `-0.0544685` Chr`16` : `26,451,443`	0.001	0.999	0.000
rs13330107 lBF = `0.237772` Chr`16` : `76,878,862`	0.001	0.999	0.001
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
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs11866328 lBF = `0.277124` Chr`16` : `9,862,556`	0.001	0.999	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.000	0.999	0.001
rs7203315 lBF = `-0.0477223` Chr`16` : `10,188,060`	0.000	0.999	0.001
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.001	0.999	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.000	0.999	0.001
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.001	0.999	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.001	0.999	0.000
rs55637647 lBF = `-0.092831` Chr`16` : `88,549,264`	0.000	0.999	0.001
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	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
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
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rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	1.000	0.000
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	1.000	0.000
rs4783227 lBF = `-0.0785829` Chr`16` : `82,594,383`	0.000	1.000	0.000
rs305080 lBF = `-0.0959654` Chr`16` : `85,941,774`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs11150589 lBF = `0.0240347` Chr`16` : `30,482,494`	0.000	1.000	0.000
rs12596210 lBF = `0.0227487` Chr`16` : `54,027,971`	0.000	1.000	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	1.000	0.000
rs71403859 lBF = `-0.0421959` Chr`16` : `71,640,207`	0.000	1.000	0.000
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.000	1.000	0.000
rs1044873 lBF = `-0.103001` Chr`16` : `85,955,671`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.000	1.000	0.000
rs34924084 lBF = `-0.0605865` Chr`16` : `5,003,074`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	1.000	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.000	1.000	0.000
rs12596252 lBF = `-0.0307697` Chr`16` : `20,056,993`	0.000	1.000	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	1.000	0.000
rs3743772 lBF = `-0.0604572` Chr`16` : `53,537,423`	0.000	1.000	0.000
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	1.000	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	1.000	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	1.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	1.000	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs12935229 lBF = `0.471444` Chr`16` : `77,328,895`	0.000	1.000	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	1.000	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	1.000	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	1.000	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	1.000	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	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

0.4559

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4477

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1127

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9632

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9578

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9392

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9242

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9061

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8886

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8883

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8751

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8731

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8710

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8564

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8345

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8332

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8322

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8285

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8222

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8178

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8112

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8078

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8067

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7958

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7958

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7937

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7933

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7800

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7736

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7732

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7634

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7588

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7511

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7474

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7433

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7408

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7329

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7310

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7269

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7182

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7163

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7158

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7151

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7150

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7136

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7134

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7116

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7112

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7099

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7099

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7054

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7033

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7022

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6988

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6897

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6867

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6820

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6812

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6744

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6708

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6688

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6684

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6664

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6650

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6629

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6583

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6520

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6405

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6360

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6337

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6334

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6319

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6276

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6260

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6236

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6231

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6085

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6071

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6028

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5927

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5887

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5873

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5813

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5805

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5695

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5617

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5582

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5542

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5500

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5491

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5434

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5237

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5209

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5201

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5132

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5081

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5024

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5012

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4995

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4984

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4933

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4813

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4796

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4666

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4649

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4578

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4552

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4398

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4181

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4175

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4109

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3956

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3926

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3813

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3665

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3658

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.3508

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3055

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2918

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2898

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2857

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2783

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2757

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2747

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2722

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2601

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2569

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2545

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2531

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2307

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2233

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1768

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1002

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0942

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0759

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0669

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0664

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0662

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0602

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0553

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`)