TreeWAS – [I70] Atherosclerosis

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
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.852	0.148	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.807	0.193	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.807	0.193	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.802	0.197	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.784	0.215	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.782	0.218	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.776	0.224	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.773	0.227	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.767	0.233	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.767	0.233	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.759	0.241	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.753	0.247	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.742	0.258	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.738	0.262	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.736	0.264	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.736	0.264	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.731	0.269	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.721	0.278	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.719	0.281	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.718	0.282	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.710	0.290	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.708	0.292	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.703	0.297	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.702	0.297	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.695	0.305	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.687	0.313	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.683	0.317	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.682	0.318	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.677	0.323	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.676	0.324	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.674	0.326	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.666	0.334	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.665	0.335	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.663	0.337	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.661	0.339	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.649	0.351	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.646	0.353	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.645	0.355	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.638	0.362	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.627	0.373	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.620	0.380	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.617	0.383	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.614	0.386	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.600	0.400	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.590	0.410	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.586	0.414	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.582	0.418	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.581	0.419	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.574	0.426	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.574	0.426	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.572	0.428	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.567	0.433	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.564	0.436	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.552	0.448	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.551	0.449	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.545	0.455	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.545	0.455	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.545	0.455	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.521	0.479	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.519	0.481	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.505	0.495	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.500	0.500	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.500	0.500	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.492	0.508	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.485	0.514	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.478	0.522	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.464	0.536	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.463	0.536	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.461	0.539	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.457	0.543	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.454	0.546	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.437	0.563	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.431	0.569	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.422	0.578	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.415	0.584	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.410	0.589	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.408	0.591	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.406	0.594	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.405	0.595	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.394	0.606	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.372	0.628	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.372	0.628	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.367	0.633	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.367	0.633	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.354	0.646	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.353	0.646	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.352	0.648	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.345	0.655	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.316	0.684	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.311	0.689	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.296	0.704	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.716	0.284
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.282	0.718	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.276	0.724	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.272	0.728	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.267	0.733	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.252	0.748	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.249	0.751	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.244	0.756	0.001
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.244	0.756	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.235	0.764	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.228	0.771	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.228	0.772	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.223	0.777	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.214	0.786	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	0.793	0.207
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.203	0.797	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.202	0.798	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.191	0.809	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.179	0.821	0.000
rs7185923 lBF = `0.37497` Chr`16` : `51,245,487`	0.000	0.834	0.166
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.846	0.154
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.146	0.854	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.140	0.860	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.139	0.861	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.130	0.870	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.124	0.876	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.121	0.879	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.113	0.886	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.113	0.887	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.106	0.894	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.097	0.902	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.095	0.905	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.091	0.909	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.089	0.911	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.088	0.911	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.088	0.912	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.081	0.919	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.080	0.920	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.076	0.924	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.073	0.927	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.069	0.931	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.066	0.934	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.059	0.940	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.059	0.940	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.051	0.949	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.049	0.951	0.001
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.049	0.951	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.952	0.048
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.048	0.952	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.044	0.956	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.043	0.957	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.037	0.963	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.035	0.964	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.965	0.035
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.035	0.965	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.032	0.968	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.031	0.968	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.031	0.969	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.031	0.969	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.029	0.971	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.029	0.971	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.028	0.972	0.000
rs9922134 lBF = `-0.0183623` Chr`16` : `83,143,453`	0.024	0.976	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.024	0.976	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.976	0.024
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.023	0.977	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.022	0.978	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.021	0.979	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.020	0.979	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.019	0.981	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.982	0.018
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.018	0.982	0.000
rs12933472 lBF = `-0.0490657` Chr`16` : `82,924,685`	0.018	0.982	0.000
rs9924951 lBF = `-0.0917043` Chr`16` : `7,504,854`	0.017	0.983	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.017	0.983	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.015	0.985	0.000
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.015	0.985	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.014	0.986	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	0.988	0.012
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.012	0.988	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.011	0.989	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.011	0.989	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.011	0.989	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.990	0.010
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.009	0.990	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.009	0.991	0.001
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.008	0.991	0.000
rs11861787 lBF = `-0.0554163` Chr`16` : `8,517,745`	0.000	0.992	0.008
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.007	0.992	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.007	0.992	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	0.993	0.007
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.007	0.993	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.993	0.007
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.007	0.993	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.007	0.993	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.006	0.994	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.006	0.994	0.000
rs4889009 lBF = `0.0801592` Chr`16` : `79,700,447`	0.005	0.995	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.005	0.995	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.005	0.995	0.000
rs12445126 lBF = `0.065621` Chr`16` : `17,739,692`	0.004	0.995	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	0.996	0.004
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.996	0.000
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.000	0.996	0.004
rs10514585 lBF = `0.162803` Chr`16` : `83,284,338`	0.000	0.996	0.004
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.996	0.004
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.996	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.002	0.996	0.001
rs11076175 lBF = `0.0104004` Chr`16` : `57,006,378`	0.003	0.996	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.997	0.000
rs4575545 lBF = `2.46975` Chr`16` : `79,755,446`	0.000	0.997	0.003
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rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.001	0.999	0.000
rs1129700 lBF = `-0.0586406` Chr`16` : `29,918,034`	0.000	0.999	0.001
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	0.999	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	0.001	0.999	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	0.999	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.000
rs305061 lBF = `0.117112` Chr`16` : `85,975,659`	0.000	0.999	0.001
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs2080364 lBF = `-0.0370627` Chr`16` : `53,376,459`	0.000	0.999	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	0.999	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	0.999	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	0.999	0.000
rs217181 lBF = `2.51811` Chr`16` : `72,114,002`	0.000	0.999	0.000
rs11644424 lBF = `0.017494` Chr`16` : `83,326,059`	0.000	0.999	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.999	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.000	0.999	0.000
rs17355804 lBF = `-0.0203104` Chr`16` : `71,717,214`	0.000	0.999	0.000
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.000	0.999	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	0.999	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	1.000	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs17356206 lBF = `-0.00199585` Chr`16` : `71,736,359`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	1.000	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.000	1.000	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	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
rs173539 lBF = `-0.0448946` Chr`16` : `56,988,044`	0.000	1.000	0.000
rs7193230 lBF = `-0.0987956` Chr`16` : `76,318,542`	0.000	1.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	1.000	0.000
rs12447690 lBF = `0.72227` Chr`16` : `88,298,124`	0.000	1.000	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.000	1.000	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	1.000	0.000
rs12149264 lBF = `0.00302883` Chr`16` : `71,720,921`	0.000	1.000	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	1.000	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.000	1.000	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.000	1.000	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	1.000	0.000
rs12149533 lBF = `-0.00922828` Chr`16` : `71,801,946`	0.000	1.000	0.000
rs12447672 lBF = `-0.0112926` Chr`16` : `71,715,131`	0.000	1.000	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	1.000	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.000	1.000	0.000
rs72773978 lBF = `0.0239383` Chr`16` : `15,974,642`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs12935422 lBF = `-0.00267497` Chr`16` : `71,664,225`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	1.000	0.000
rs711752 lBF = `0.246679` Chr`16` : `56,996,211`	0.000	1.000	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	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
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	1.000	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	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
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	1.000	0.000
rs3943418 lBF = `-0.0715784` Chr`16` : `17,337,724`	0.000	1.000	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	1.000	0.000
rs9940464 lBF = `-0.123422` Chr`16` : `83,360,775`	0.000	1.000	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.000	1.000	0.000
rs154659 lBF = `11.5804` Chr`16` : `89,667,337`	0.000	1.000	0.000
rs4465599 lBF = `3.2933` Chr`16` : `13,154,878`	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 X0034

log Bayes Factor = 665.104

contains 16 variants

0.7960

Cluster X0282

log Bayes Factor = 38.0098

contains 3 variants

0.7252

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3595

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.3454

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2841

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

1.0000

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.9999

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9999

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9999

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.9998

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9988

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9975

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9959

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9940

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9940

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9937

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9922

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9909

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9895

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9849

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9843

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9836

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9819

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9766

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9737

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9729

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9632

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9609

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9587

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9532

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9529

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9512

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9505

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9490

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9474

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9464

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9389

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.9374

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9355

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9351

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.9325

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.9302

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9290

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9267

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9233

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9171

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9149

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9074

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9070

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9055

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9006

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.8986

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8947

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.8943

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8927

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8920

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8895

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8883

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8880

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8824

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8816

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8779

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8774

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8728

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8727

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8648

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8620

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8605

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8566

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8558

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8520

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8516

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8512

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8490

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8454

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8450

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8434

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8405

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8386

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8317

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8306

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8301

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8289

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8289

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8278

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8264

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8250

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.8245

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8225

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8221

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8194

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8192

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8163

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8160

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8143

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8138

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8128

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8124

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8115

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8001

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7998

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7982

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7956

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7954

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7953

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7948

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7915

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7895

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7892

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7859

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7850

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7841

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.7840

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7772

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7763

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7739

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7646

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7629

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7628

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7616

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7611

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7591

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7579

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7530

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7530

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7478

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7468

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7449

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7358

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7356

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7353

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7253

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7192

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7167

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7116

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7100

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7017

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6998

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6957

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6945

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6941

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6919

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6892

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6836

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6812

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6661

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6649

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6635

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6634

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6559

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6548

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6543

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6516

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6356

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6350

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6222

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6179

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6175

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.6158

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.6117

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6109

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6078

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6018

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6006

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5924

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5792

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5775

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5766

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5758

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.5587

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5567

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5552

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5373

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5361

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5241

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5229

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5217

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5076

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5062

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.4995

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4754

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4500

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4186

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3968

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3880

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3615

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3471

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3304

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3154

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3004

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2616

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2311

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2118

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1689

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1530

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1308

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1224

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.1058

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0888

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0651

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0623

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0558

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0528

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.

Parent term	I70-I79 Diseases of arteries, arterioles and capillaries
Nested terms	I70.0 Atherosclerosis of aorta I70.1 Atherosclerosis of renal artery I70.2 Atherosclerosis of arteries of the extremities I70.8 Atherosclerosis of other arteries I70.9 Generalised and unspecified atherosclerosis

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`)