TreeWAS – [R59.9] Enlarged lymph nodes, 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
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.696	0.304	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.693	0.307	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.672	0.328	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.672	0.328	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.665	0.335	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.631	0.369	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.519	0.481	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.518	0.482	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.471	0.529	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.469	0.530	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.449	0.551	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.443	0.557	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.431	0.569	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.427	0.573	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.425	0.575	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.421	0.579	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.414	0.586	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.400	0.600	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.397	0.603	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.381	0.619	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.366	0.634	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.335	0.665	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.330	0.670	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.315	0.685	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.306	0.693	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.284	0.716	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.284	0.716	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.276	0.724	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.270	0.730	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.257	0.742	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.237	0.763	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.231	0.768	0.001
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.228	0.772	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.227	0.773	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.218	0.782	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.180	0.820	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.177	0.823	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.159	0.840	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.150	0.850	0.001
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.139	0.861	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.139	0.861	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.138	0.861	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.138	0.861	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.136	0.863	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.132	0.868	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.130	0.869	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.130	0.870	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.127	0.873	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.124	0.876	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.122	0.878	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.099	0.901	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.097	0.903	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.095	0.904	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.093	0.906	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.091	0.908	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.089	0.911	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.074	0.926	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.074	0.926	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.073	0.927	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.070	0.929	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.069	0.931	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.067	0.933	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.065	0.934	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.062	0.938	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.940	0.060
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.057	0.943	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.052	0.948	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.049	0.950	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.049	0.951	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.045	0.955	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.044	0.956	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.042	0.958	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.041	0.959	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.039	0.961	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.038	0.962	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.035	0.965	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.031	0.969	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.029	0.971	0.001
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.026	0.974	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.023	0.977	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.021	0.979	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.021	0.979	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.020	0.980	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.018	0.982	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.017	0.983	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.017	0.983	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.016	0.984	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.015	0.985	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.014	0.986	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.014	0.986	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.011	0.988	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.011	0.988	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.011	0.988	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.011	0.989	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.010	0.990	0.001
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.010	0.990	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.009	0.991	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.008	0.992	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.007	0.993	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.007	0.993	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.006	0.993	0.001
rs34792 lBF = `0.0928523` Chr`16` : `15,587,497`	0.000	0.994	0.006
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.006	0.994	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.006	0.994	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.006	0.994	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.005	0.994	0.000
rs8051149 lBF = `0.170541` Chr`16` : `87,878,822`	0.000	0.995	0.005
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.005	0.995	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.004	0.996	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.004	0.996	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.996	0.004
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.004	0.996	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	0.996	0.004
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.003	0.997	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.003	0.997	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.000	0.997	0.003
rs17214007 lBF = `-0.0640851` Chr`16` : `15,883,490`	0.000	0.997	0.003
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.003	0.997	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	0.997	0.003
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	0.997	0.003
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.003	0.997	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.003	0.997	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.002	0.997	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	0.997	0.003
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.003	0.997	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.002	0.998	0.001
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.002	0.998	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.002	0.998	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.002	0.998	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.002	0.998	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.002	0.998	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.002	0.998	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	0.998	0.002
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.002	0.998	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.002	0.998	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.002	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs4500751 lBF = `-0.0190647` Chr`16` : `15,140,211`	0.002	0.998	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	0.998	0.001
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.002	0.998	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	0.998	0.002
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	0.998	0.002
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	0.998	0.002
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.001	0.999	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.001	0.999	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.001	0.999	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.999	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.999	0.001
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.999	0.001
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.001
rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.001	0.999	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.001	0.999	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.999	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.001	0.999	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	0.999	0.001
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	0.999	0.001
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.001	0.999	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.001	0.999	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.001	0.999	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	0.999	0.001
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs12709013 lBF = `-0.0457289` Chr`16` : `58,829,790`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs1136001 lBF = `0.0202838` Chr`16` : `15,131,974`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	0.999	0.001
rs2740 lBF = `0.023688` Chr`16` : `15,132,108`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.001	0.999	0.000
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.001	0.999	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.001	0.999	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	0.999	0.001
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	0.999	0.001
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	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
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	0.999	0.001
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.999	0.001
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
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
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rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	1.000	0.000
rs2018916 lBF = `-0.125196` Chr`16` : `63,700,508`	0.000	1.000	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.000	1.000	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.000	1.000	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.000	1.000	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.000	1.000	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	1.000	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	1.000	0.000
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.000	1.000	0.000
rs7189020 lBF = `-0.0521711` Chr`16` : `304,803`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	0.000	1.000	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs17111 lBF = `9.12903` Chr`16` : `84,857,244`	0.000	1.000	0.000
rs9938149 lBF = `1.82075` Chr`16` : `88,331,640`	0.000	1.000	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	1.000	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.000	1.000	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	1.000	0.000
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	1.000	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	1.000	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	1.000	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.000	1.000	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	1.000	0.000
rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs904790 lBF = `-0.0111645` Chr`16` : `88,528,780`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	1.000	0.000
rs2280381 lBF = `-0.0191041` Chr`16` : `86,018,633`	0.000	1.000	0.000
rs7203315 lBF = `-0.0477223` Chr`16` : `10,188,060`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	1.000	0.000
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.000	1.000	0.000
rs11075138 lBF = `-0.0736825` Chr`16` : `12,723,811`	0.000	1.000	0.000
rs12444261 lBF = `-0.0772295` Chr`16` : `11,734,642`	0.000	1.000	0.000
rs1122794 lBF = `-0.0813802` Chr`16` : `309,155`	0.000	1.000	0.000
rs11859036 lBF = `-0.114229` Chr`16` : `80,305,551`	0.000	1.000	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	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

0.5087

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0705

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0600

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9870

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9563

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9508

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9370

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9301

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8783

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8778

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8695

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8602

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8517

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8273

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8257

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8020

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7662

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7639

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7608

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7567

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7356

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6722

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6676

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6583

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6444

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5835

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5754

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5617

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5397

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5135

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4750

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4705

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4618

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4544

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3805

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3698

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3417

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3383

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3220

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3140

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3070

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2869

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2790

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2636

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2609

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2602

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2550

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2525

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2520

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2430

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2364

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2360

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.2066

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2060

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2049

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2002

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1983

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1889

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1828

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1813

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1682

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1675

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1623

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1586

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1520

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1491

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1470

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1374

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1167

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1159

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1122

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1070

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1067

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1064

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0900

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0848

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0828

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0804

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0719

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0701

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0648

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0614

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0612

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0610

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0607

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0547

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0540

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`)