TreeWAS – [R27.8] Other and unspecified lack of coordination

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
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.731	0.269	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.710	0.290	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.650	0.350	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.627	0.372	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.608	0.392	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.602	0.398	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.594	0.406	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.548	0.452	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.544	0.456	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.539	0.461	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.530	0.469	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.528	0.471	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.516	0.484	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.503	0.497	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.484	0.516	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.481	0.519	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.470	0.529	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.462	0.538	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.458	0.542	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.457	0.543	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.453	0.547	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.450	0.550	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.446	0.554	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.446	0.554	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.427	0.573	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.427	0.573	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.422	0.578	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.419	0.581	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.413	0.587	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.412	0.588	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.411	0.589	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.408	0.592	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.403	0.597	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.398	0.602	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.392	0.608	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.392	0.608	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.388	0.612	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.386	0.614	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.377	0.623	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.369	0.631	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.368	0.632	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.364	0.636	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.364	0.636	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.356	0.644	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.353	0.647	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.351	0.648	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.343	0.657	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.339	0.661	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.337	0.662	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.337	0.663	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.330	0.669	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.330	0.670	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.327	0.673	0.001
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.308	0.692	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.304	0.696	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.302	0.698	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.299	0.701	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.288	0.712	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.272	0.728	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.269	0.731	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.262	0.737	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.247	0.752	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.236	0.764	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.816	0.184
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.173	0.827	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.165	0.835	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.161	0.839	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.152	0.848	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.145	0.855	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.144	0.855	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.144	0.856	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.133	0.867	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.133	0.867	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.126	0.874	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.126	0.874	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.115	0.885	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.110	0.889	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.110	0.889	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.109	0.891	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.107	0.892	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.093	0.907	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.089	0.911	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.083	0.917	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.072	0.927	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.072	0.928	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.068	0.932	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.062	0.937	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.060	0.940	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.060	0.940	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.055	0.945	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.054	0.945	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.053	0.947	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.051	0.949	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.045	0.955	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.043	0.956	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.042	0.957	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.038	0.962	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.032	0.968	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.030	0.970	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.030	0.970	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.028	0.971	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.027	0.973	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.023	0.976	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.023	0.977	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.022	0.977	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.022	0.978	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.022	0.978	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.020	0.980	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.020	0.980	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.017	0.982	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.014	0.986	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.014	0.986	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.012	0.988	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.011	0.989	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.011	0.989	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.009	0.991	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.008	0.991	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.008	0.992	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.008	0.992	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.007	0.993	0.001
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.007	0.993	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.007	0.993	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.007	0.993	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.006	0.994	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.006	0.994	0.000
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.006	0.994	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.006	0.994	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.005	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.005	0.995	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.005	0.995	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.005	0.995	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.005	0.995	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.005	0.995	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.005	0.995	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.004	0.996	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.004	0.996	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.004	0.996	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.004	0.996	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.004	0.996	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.003	0.996	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.003	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.997	0.000
rs3784962 lBF = `-0.11486` Chr`16` : `83,757,328`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.003	0.997	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.003	0.997	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.997	0.003
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.003	0.997	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.003	0.997	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.003	0.997	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.002	0.997	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.002	0.997	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.002	0.998	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.002	0.998	0.000
rs30388 lBF = `-0.0567583` Chr`16` : `79,614,116`	0.000	0.998	0.002
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs4781563 lBF = `-0.1082` Chr`16` : `14,045,399`	0.002	0.998	0.000
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.002	0.998	0.000
rs6499766 lBF = `-0.0416222` Chr`16` : `55,604,128`	0.000	0.998	0.002
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.000	0.998	0.002
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.002	0.998	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.002	0.998	0.000
rs6499188 lBF = `1.3923` Chr`16` : `68,674,788`	0.002	0.998	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.002	0.998	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	0.998	0.002
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.001	0.998	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.002	0.998	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	0.998	0.002
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.002	0.998	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.002	0.998	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.998	0.002
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.998	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.002	0.998	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	0.998	0.002
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.001	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.002	0.998	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.998	0.000
rs3784943 lBF = `-0.0568387` Chr`16` : `83,712,435`	0.000	0.998	0.001
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.001	0.998	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	0.998	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.998	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.001	0.998	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.999	0.001
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.999	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.001	0.999	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.999	0.001
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.001	0.999	0.000
rs7191700 lBF = `0.165901` Chr`16` : `11,406,803`	0.000	0.999	0.001
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.999	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.999	0.001
rs35158985 lBF = `1.1791` Chr`16` : `68,796,746`	0.000	0.999	0.001
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.001	0.999	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	0.999	0.001
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.001	0.999	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.001	0.999	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.001	0.999	0.000
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rs1741 lBF = `-0.0128875` Chr`16` : `15,130,351`	0.001	0.999	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	0.999	0.001
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.999	0.001
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	0.999	0.001
rs10048146 lBF = `2.55428` Chr`16` : `86,710,660`	0.001	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.001	0.999	0.000
rs7499892 lBF = `0.0215668` Chr`16` : `57,006,590`	0.001	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.001	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.999	0.000
rs2113334 lBF = `-0.072148` Chr`16` : `13,976,356`	0.000	0.999	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	0.999	0.001
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	0.999	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	0.999	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	0.999	0.000
rs76661599 lBF = `6.51896` Chr`16` : `88,788,544`	0.000	0.999	0.001
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.999	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.001	0.999	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	0.999	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	0.999	0.001
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.001	0.999	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs1560104 lBF = `-0.072262` Chr`16` : `12,708,208`	0.000	0.999	0.001
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	0.999	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	0.999	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	0.999	0.001
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	0.999	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	0.999	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	0.999	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	0.999	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	0.999	0.001
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.001	0.999	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	0.999	0.001
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.001	0.999	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.999	0.000
rs7200543 lBF = `0.0141252` Chr`16` : `15,129,970`	0.001	0.999	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.999	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	0.999	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	0.999	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.000	0.999	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	0.999	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.000	0.999	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.001	0.999	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	0.999	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	0.999	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	0.999	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	0.999	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	0.999	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.999	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.001	0.999	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.999	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	0.999	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	0.999	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.001	0.999	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	0.999	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	0.999	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	0.999	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.001	0.999	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	0.999	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.999	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	0.999	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	0.999	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.999	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	0.999	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	0.999	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	0.999	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	0.999	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	0.999	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	0.999	0.000
rs7498403 lBF = `-0.0372543` Chr`16` : `79,585,021`	0.000	0.999	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	0.999	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	0.999	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	0.999	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	0.999	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	0.999	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

0.5135

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1837

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9856

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9844

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9804

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9785

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9564

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9337

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9320

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9315

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9300

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9274

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9268

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9198

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9108

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9098

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8965

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8921

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8919

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8900

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8887

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8864

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8852

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8833

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8814

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8770

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8735

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8719

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8691

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8676

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8660

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8527

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8519

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8513

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8503

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8485

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8284

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8263

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8213

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8183

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8157

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8016

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7957

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7953

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7853

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7824

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7758

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7749

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7705

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7657

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7645

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7641

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7549

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7499

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7461

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7418

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7417

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7394

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7373

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7337

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7323

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7319

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7318

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7284

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7247

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7245

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7243

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7243

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7235

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7151

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7130

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7096

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7059

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7051

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6958

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6912

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6823

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6744

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6727

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6660

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6560

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6481

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6362

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6275

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6273

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6189

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6058

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5989

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5865

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5615

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5433

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5430

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5387

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5270

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5255

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5081

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5014

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5007

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4992

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4959

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4937

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4911

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4834

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4663

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4576

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4549

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4490

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4450

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4380

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4363

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4345

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4345

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4180

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4172

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4115

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4107

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4100

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4040

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4021

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3869

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3688

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3630

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3559

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3470

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3431

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3428

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3316

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2953

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2911

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2859

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2784

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2759

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2755

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2644

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2532

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2375

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2295

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2223

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2137

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1957

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1915

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1863

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1801

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1572

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1561

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1209

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1029

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0945

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0923

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0803

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0721

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0698

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0607

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0583

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0529

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`)