TreeWAS – [M23.32] Other meniscus derangements (Posterior cruciate ligament or Posterior horn of medial meniscus)

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
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.865	0.135	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.820	0.180	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.623	0.377	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.612	0.388	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.565	0.435	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.560	0.440	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.555	0.445	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.542	0.458	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.520	0.479	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.520	0.480	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.513	0.486	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.511	0.489	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.507	0.493	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.503	0.497	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.503	0.497	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.491	0.509	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.427	0.573	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.396	0.604	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.382	0.618	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.372	0.628	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.368	0.632	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.362	0.638	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.355	0.645	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.318	0.682	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.310	0.690	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.296	0.703	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.295	0.705	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.269	0.730	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.260	0.740	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.260	0.740	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.255	0.745	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.246	0.754	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.243	0.757	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.238	0.761	0.001
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.234	0.765	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.230	0.770	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.215	0.785	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.210	0.790	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.208	0.792	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.206	0.794	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.203	0.797	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.198	0.802	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.198	0.802	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.196	0.804	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.188	0.812	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.188	0.812	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.183	0.817	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.182	0.818	0.001
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.180	0.820	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.172	0.828	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.157	0.843	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.154	0.845	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.149	0.850	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.149	0.851	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.148	0.852	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.144	0.856	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.139	0.861	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.135	0.865	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.134	0.865	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.128	0.871	0.001
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.129	0.871	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.128	0.872	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.123	0.876	0.001
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.123	0.877	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.121	0.878	0.001
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.122	0.878	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.121	0.879	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.115	0.885	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.115	0.885	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.113	0.886	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.111	0.889	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.101	0.898	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.100	0.900	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.098	0.902	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.094	0.905	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.089	0.911	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.088	0.911	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.078	0.922	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.076	0.923	0.001
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.076	0.924	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.074	0.925	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.074	0.925	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.074	0.925	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.070	0.929	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.070	0.929	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.070	0.930	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.066	0.934	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.062	0.937	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.057	0.943	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.055	0.945	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.052	0.947	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.052	0.948	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.052	0.948	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.049	0.951	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.045	0.955	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.044	0.955	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.042	0.958	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.042	0.958	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.042	0.958	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.041	0.959	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.041	0.959	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.039	0.961	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.038	0.962	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.036	0.963	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.036	0.964	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.036	0.964	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.035	0.965	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.033	0.965	0.001
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.034	0.966	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.034	0.966	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.032	0.968	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.031	0.969	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.030	0.970	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.011	0.970	0.019
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.029	0.971	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.028	0.971	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.027	0.973	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.026	0.973	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.026	0.973	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.026	0.973	0.001
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.026	0.974	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.026	0.974	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.025	0.975	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.025	0.975	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.012	0.975	0.013
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	0.976	0.024
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.023	0.976	0.001
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.023	0.977	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.023	0.977	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.022	0.978	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.021	0.978	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.021	0.979	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.020	0.979	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.020	0.980	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.020	0.980	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.019	0.980	0.001
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.019	0.981	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.018	0.982	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.016	0.983	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.001	0.984	0.015
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.015	0.984	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.014	0.985	0.002
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.015	0.985	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.014	0.985	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.014	0.986	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.014	0.986	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.013	0.987	0.001
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.012	0.987	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	0.987	0.013
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.012	0.988	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.011	0.988	0.001
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.011	0.989	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.011	0.989	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.011	0.989	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.991	0.009
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.008	0.992	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.007	0.992	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.006	0.993	0.001
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.993	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.006	0.994	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.006	0.994	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	0.994	0.006
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.000	0.994	0.006
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.005	0.995	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.005	0.995	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.005	0.995	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	0.995	0.005
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.005	0.995	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.005	0.995	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.004	0.996	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.004	0.996	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	0.996	0.004
rs57374020 lBF = `10.9383` Chr`16` : `88,847,523`	0.000	0.996	0.004
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	0.996	0.004
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.996	0.004
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	0.997	0.003
rs4349147 lBF = `0.0786613` Chr`16` : `3,124,920`	0.003	0.997	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.003	0.997	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.003	0.997	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.003	0.997	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.003	0.997	0.000
rs2334880 lBF = `-0.0266701` Chr`16` : `71,653,637`	0.000	0.997	0.003
rs386965 lBF = `-0.0757266` Chr`16` : `79,652,541`	0.000	0.997	0.003
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	0.997	0.003
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.001	0.997	0.001
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.003	0.997	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.003	0.997	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.002	0.997	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.003	0.997	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	0.997	0.003
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.000	0.997	0.003
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	0.997	0.003
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.003	0.997	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	0.997	0.003
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.002	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.002	0.998	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	0.998	0.002
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	0.998	0.002
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rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.000	1.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.000	1.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.000	1.000	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.000	1.000	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	1.000	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	1.000	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	1.000	0.000
rs4783860 lBF = `-0.10313` Chr`16` : `55,005,321`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	1.000	0.000
rs16971384 lBF = `-0.0898592` Chr`16` : `72,931,085`	0.000	1.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs35538253 lBF = `-0.0210536` Chr`16` : `71,677,975`	0.000	1.000	0.000
rs12924650 lBF = `-0.027911` Chr`16` : `71,705,908`	0.000	1.000	0.000
rs12920890 lBF = `-0.0293134` Chr`16` : `71,787,588`	0.000	1.000	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.000	1.000	0.000
rs6499100 lBF = `0.154894` Chr`16` : `52,831,462`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000	0.000
rs12924138 lBF = `11.812` Chr`16` : `89,754,444`	0.000	1.000	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.000	1.000	0.000
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	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
rs16953002 lBF = `-0.0552088` Chr`16` : `54,114,824`	0.000	1.000	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs11077149 lBF = `5.70606` Chr`16` : `7,264,782`	0.000	1.000	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	1.000	0.000
rs6498068 lBF = `-0.0472039` Chr`16` : `10,630,777`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.000	1.000	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.000	1.000	0.000
rs12924572 lBF = `14.354` Chr`16` : `89,748,736`	0.000	1.000	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.000	1.000	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	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
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	1.000	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	1.000	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	1.000	0.000
rs12444156 lBF = `-0.017368` Chr`16` : `71,841,257`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.000	1.000	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.000	1.000	0.000
rs9924758 lBF = `-0.072789` Chr`16` : `13,616,484`	0.000	1.000	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs6497490 lBF = `0.0649877` Chr`16` : `20,477,474`	0.000	1.000	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	1.000	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	1.000	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	1.000	0.000
rs9937837 lBF = `-0.103372` Chr`16` : `31,298,939`	0.000	1.000	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.9988

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.0597

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9865

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9834

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9670

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9626

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9454

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.9079

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8980

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8969

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8953

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8936

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8895

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.8734

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8556

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7985

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7331

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7215

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6871

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6653

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5539

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5429

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5182

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4663

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4386

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4234

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4220

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4180

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4164

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4103

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3890

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3572

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3549

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3536

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.3414

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3333

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3255

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2427

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2425

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2300

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2293

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2152

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2104

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2014

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2011

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1733

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1666

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1626

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1519

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1479

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1422

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1402

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1350

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1166

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0903

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0838

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0791

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0737

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0731

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0720

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0635

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0611

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0610

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0561

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`)