TreeWAS – [I25.0] Atherosclerotic cardiovascular disease, so described

TreeWAS

Variant clusters

Hospitalization Episode Statistics (HES)

Genetic variants: 36,212

Diagnostic terms: × 19,155

Association results: = 693,640,860

Self-Reported Statistics (SRS)

Genetic variants: 28,458

Diagnostic terms: × 474

Association results: = 13,489,092

Frequently Asked Questions

Variant effects

Click on a variant to see its association results.

Download this figure in format

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
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.166	0.834
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.777	0.223	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.774	0.226	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.233	0.766
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.766	0.234	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	0.245	0.755
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	0.266	0.734
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.269	0.731
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.272	0.728
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.727	0.273	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.275	0.725
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.717	0.283	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.283	0.717
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.283	0.717
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.717	0.283	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.717	0.283	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.717	0.283	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.717	0.283	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.717	0.283	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.717	0.283	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.717	0.283	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.716	0.283	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	0.285	0.715
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.715	0.285	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.288	0.712
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.297	0.703
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.297	0.703
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.700	0.300	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.697	0.303	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.303	0.697
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.695	0.305	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.690	0.309	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.688	0.312	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.687	0.313	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.687	0.313	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.326	0.674
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.666	0.334	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.658	0.342	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.640	0.360	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.638	0.362	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.638	0.362	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.628	0.372	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.620	0.379	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.599	0.400	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.597	0.402	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.408	0.592
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.591	0.409	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.582	0.418	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.577	0.423	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.568	0.432	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.512	0.488	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.496	0.504	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.489	0.511	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.488	0.512	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.484	0.515	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.424	0.576	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	0.587	0.412
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.372	0.628	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.001	0.634	0.365
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.356	0.644	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.340	0.659	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.312	0.688	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.273	0.727	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.273	0.727	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.270	0.730	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.243	0.757	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.196	0.804	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.193	0.807	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.187	0.813	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.175	0.825	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.153	0.847	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.136	0.864	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.135	0.865	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.101	0.899	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.091	0.909	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.089	0.911	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.087	0.913	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.087	0.913	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.072	0.927	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.072	0.928	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.071	0.929	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.069	0.931	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.068	0.932	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.068	0.932	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.066	0.934	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.065	0.934	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.058	0.942	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.055	0.945	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.054	0.946	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.049	0.950	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.049	0.951	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	0.955	0.045
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.043	0.957	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.042	0.957	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.041	0.958	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.040	0.960	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.036	0.964	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.033	0.967	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.029	0.970	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.027	0.973	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.027	0.973	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.026	0.974	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.026	0.974	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.025	0.975	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.019	0.981	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.019	0.981	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.017	0.983	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.983	0.016
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.016	0.983	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.016	0.984	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.016	0.984	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.014	0.985	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.013	0.986	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.012	0.987	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.012	0.988	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.011	0.989	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.011	0.989	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.011	0.989	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.010	0.990	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.010	0.990	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.991	0.009
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.009	0.991	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.008	0.992	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.008	0.992	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.008	0.992	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.007	0.993	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.007	0.993	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.006	0.994	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.006	0.994	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.005	0.994	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.005	0.995	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.005	0.995	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.995	0.005
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.005	0.995	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.004	0.995	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.004	0.996	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.004	0.996	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.004	0.996	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.004	0.996	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.002	0.996	0.002
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.003	0.997	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.003	0.997	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.003	0.997	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.003	0.997	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.003	0.997	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.002	0.997	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.002	0.997	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.002	0.998	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.002	0.998	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.002	0.998	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.002	0.998	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.002	0.998	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	0.998	0.002
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.002	0.998	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.002	0.998	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.001	0.998	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.002	0.998	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.001	0.999	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.001	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs4782371 lBF = `-0.0705115` Chr`16` : `88,568,831`	0.000	0.999	0.001
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs7193778 lBF = `-0.00004794` Chr`16` : `69,563,890`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs1429264 lBF = `-0.101101` Chr`16` : `84,623,484`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.000	0.999	0.001
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.001	0.999	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs146680296 lBF = `0` Chr`16` : `60,710,472`	0.001	0.999	0.001
rs181225015 lBF = `0` Chr`16` : `84,204,378`	0.001	0.999	0.001
rs188330159 lBF = `0` Chr`16` : `60,694,183`	0.001	0.999	0.001
rs74681184 lBF = `0` Chr`16` : `60,744,623`	0.001	0.999	0.001
rs79007183 lBF = `0` Chr`16` : `1,705,794`	0.001	0.999	0.001
rs143661751 lBF = `0` Chr`16` : `73,722,291`	0.001	0.999	0.001
rs184252378 lBF = `0` Chr`16` : `8,122,672`	0.001	0.999	0.001
rs28497028 lBF = `0` Chr`16` : `81,372,590`	0.001	0.999	0.001
rs144039930 lBF = `0` Chr`16` : `21,252,260`	0.001	0.999	0.001
rs147153117 lBF = `0` Chr`16` : `51,061,528`	0.001	0.999	0.001
rs112141546 lBF = `0` Chr`16` : `77,401,515`	0.001	0.999	0.001
rs2303790 lBF = `0` Chr`16` : `57,017,292`	0.001	0.999	0.001
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rs929843 lBF = `0.0505906` Chr`16` : `70,045,748`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs764255 lBF = `-0.0145518` Chr`16` : `73,713,683`	0.000	1.000	0.000
rs4782151 lBF = `-0.0212758` Chr`16` : `9,325,985`	0.000	1.000	0.000
rs270421 lBF = `-0.0391422` Chr`16` : `79,252,324`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	1.000	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs12921846 lBF = `2.29434` Chr`16` : `6,910,385`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.000	1.000	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	1.000	0.000
rs11150589 lBF = `0.0240347` Chr`16` : `30,482,494`	0.000	1.000	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.000	1.000	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.000	1.000	0.000
rs12927162 lBF = `-0.046225` Chr`16` : `52,684,916`	0.000	1.000	0.000
rs2280018 lBF = `-0.0500864` Chr`16` : `15,150,833`	0.000	1.000	0.000
rs4467099 lBF = `-0.06859` Chr`16` : `11,542,894`	0.000	1.000	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	1.000	0.000
rs7186908 lBF = `-0.0722486` Chr`16` : `72,220,373`	0.000	1.000	0.000
rs8049367 lBF = `-0.073433` Chr`16` : `3,980,445`	0.000	1.000	0.000
rs433598 lBF = `-0.0788765` Chr`16` : `20,680,206`	0.000	1.000	0.000
rs6499640 lBF = `-0.0833286` Chr`16` : `53,769,677`	0.000	1.000	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.000	1.000	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	1.000	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	1.000	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.000	1.000	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.000	1.000	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.000	1.000	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.000	1.000	0.000
rs1397142 lBF = `0.222403` Chr`16` : `9,343,347`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	1.000	0.000
rs2925979 lBF = `0.181182` Chr`16` : `81,534,790`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs2062541 lBF = `0.12448` Chr`16` : `16,127,235`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs11647507 lBF = `0.0543866` Chr`16` : `20,095,628`	0.000	1.000	0.000
rs10521115 lBF = `0.049886` Chr`16` : `20,090,645`	0.000	1.000	0.000
rs11642377 lBF = `0.0413304` Chr`16` : `20,109,653`	0.000	1.000	0.000
rs12924103 lBF = `0.0410934` Chr`16` : `20,094,546`	0.000	1.000	0.000
rs10521114 lBF = `0.0406485` Chr`16` : `20,089,754`	0.000	1.000	0.000
rs4889240 lBF = `0.0355974` Chr`16` : `81,156,522`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs7201408 lBF = `0.0256906` Chr`16` : `20,094,054`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs7185264 lBF = `0.0232121` Chr`16` : `20,094,886`	0.000	1.000	0.000
rs12446289 lBF = `0.0231972` Chr`16` : `7,903,609`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.000	1.000	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	1.000	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	1.000	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs9936833 lBF = `-0.0356251` Chr`16` : `86,403,118`	0.000	1.000	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.000	1.000	0.000
rs7199343 lBF = `-0.0507337` Chr`16` : `73,009,024`	0.000	1.000	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.000	1.000	0.000
rs2343519 lBF = `-0.060762` Chr`16` : `6,128,520`	0.000	1.000	0.000
rs56240109 lBF = `-0.061418` Chr`16` : `3,769,581`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.000	1.000	0.000
rs3925075 lBF = `-0.0836353` Chr`16` : `31,347,748`	0.000	1.000	0.000
rs3136202 lBF = `-0.121136` Chr`16` : `14,038,174`	0.000	1.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.000	1.000	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.000	1.000	0.000
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.000	1.000	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	1.000	0.000
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.000	1.000	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	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 X0002

log Bayes Factor = 522.044

contains 22 variants

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

Cluster X0034

log Bayes Factor = 665.104

contains 16 variants

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

Cluster X0200

log Bayes Factor = 162.369

contains 2 variants

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

Cluster X0104

log Bayes Factor = 122.44

contains 5 variants

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

Cluster X0262

log Bayes Factor = 269.713

contains 9 variants

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

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.