TreeWAS – [I37.1] Pulmonary valve insufficiency

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
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.868	0.132	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.767	0.233	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.662	0.338	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.657	0.343	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.622	0.378	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.602	0.398	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.569	0.431	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.559	0.441	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.541	0.459	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.516	0.483	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.516	0.484	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.514	0.486	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.514	0.486	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.514	0.486	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.514	0.486	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.514	0.486	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.514	0.486	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.513	0.487	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.513	0.487	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.512	0.488	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.512	0.488	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.511	0.489	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.511	0.489	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.509	0.491	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.508	0.491	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.508	0.492	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.508	0.492	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.508	0.492	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.507	0.493	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.505	0.495	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.503	0.496	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.503	0.497	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.503	0.497	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.503	0.497	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.503	0.497	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.502	0.498	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.502	0.498	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.500	0.499	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.499	0.501	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.496	0.503	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.496	0.504	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.491	0.509	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.490	0.510	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.488	0.512	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.485	0.515	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.484	0.516	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.484	0.516	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.483	0.517	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.477	0.523	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.476	0.524	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.476	0.524	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.453	0.547	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.453	0.547	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.452	0.548	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.447	0.552	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.444	0.556	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.440	0.560	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.426	0.574	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.421	0.579	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.406	0.594	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.405	0.594	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.405	0.595	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.404	0.596	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.398	0.602	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.387	0.612	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.387	0.613	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.377	0.623	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.629	0.371
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.355	0.645	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	0.648	0.351
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.351	0.649	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.341	0.659	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.322	0.678	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.316	0.683	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.312	0.688	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.298	0.702	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.291	0.709	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.279	0.721	0.000
rs12925700 lBF = `7.5831` Chr`16` : `69,793,463`	0.000	0.732	0.268
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.246	0.753	0.000
rs889398 lBF = `13.1651` Chr`16` : `69,556,715`	0.000	0.778	0.222
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.208	0.792	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.207	0.793	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.201	0.799	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.200	0.800	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.187	0.813	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.165	0.835	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.140	0.860	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.139	0.861	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.000	0.867	0.132
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.126	0.873	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.123	0.877	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.119	0.881	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.096	0.903	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.096	0.904	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.095	0.904	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.094	0.906	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.092	0.908	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.086	0.914	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.077	0.923	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.063	0.937	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.058	0.942	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.057	0.942	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.050	0.950	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.048	0.951	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.046	0.953	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.045	0.954	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.042	0.958	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.041	0.959	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.033	0.966	0.001
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.967	0.033
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.031	0.969	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.030	0.970	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.030	0.970	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.029	0.971	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.029	0.971	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.028	0.972	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.024	0.974	0.002
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.026	0.974	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.023	0.976	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.023	0.976	0.000
rs6499270 lBF = `6.21665` Chr`16` : `69,917,740`	0.000	0.978	0.022
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.022	0.978	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.979	0.021
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.021	0.979	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.020	0.979	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.020	0.980	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.020	0.980	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.020	0.980	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.019	0.980	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.019	0.981	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.018	0.981	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.017	0.983	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.015	0.985	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.014	0.985	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.014	0.986	0.000
rs11864208 lBF = `-0.0419277` Chr`16` : `50,277,214`	0.000	0.986	0.014
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.013	0.986	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.012	0.987	0.001
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.012	0.988	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.011	0.988	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.011	0.989	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.010	0.989	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	0.991	0.009
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.008	0.991	0.001
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.007	0.992	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.007	0.993	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.006	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.994	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.000	0.994	0.006
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.005	0.994	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.005	0.995	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.005	0.995	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.005	0.995	0.000
rs11074889 lBF = `-0.0467754` Chr`16` : `10,633,165`	0.005	0.995	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.005	0.995	0.000
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.000	0.996	0.004
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.004	0.996	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.004	0.996	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.004	0.996	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.004	0.996	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.004	0.996	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.003	0.996	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.003	0.996	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.997	0.003
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	0.997	0.003
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.000	0.997	0.003
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.997	0.003
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.997	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.000	0.997	0.002
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.000	0.997	0.002
rs350245 lBF = `-0.0808621` Chr`16` : `12,200,115`	0.002	0.998	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.002	0.998	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.000	0.998	0.002
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.002	0.998	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.000	0.998	0.002
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.000	0.998	0.002
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.002	0.998	0.000
rs11150589 lBF = `0.0240347` Chr`16` : `30,482,494`	0.000	0.998	0.002
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.998	0.002
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.002	0.998	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.002	0.998	0.000
rs13330107 lBF = `0.237772` Chr`16` : `76,878,862`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.001	0.998	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.002	0.998	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	0.998	0.002
rs2018916 lBF = `-0.125196` Chr`16` : `63,700,508`	0.000	0.998	0.002
rs8192935 lBF = `-0.0293905` Chr`16` : `55,861,794`	0.002	0.998	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.001	0.998	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	0.999	0.001
rs9925432 lBF = `-0.0712221` Chr`16` : `2,917,327`	0.000	0.999	0.001
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	0.999	0.001
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rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	0.999	0.001
rs16953946 lBF = `1.06463` Chr`16` : `80,785,448`	0.000	0.999	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	0.999	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	0.999	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	0.999	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	0.999	0.000
rs16946931 lBF = `-0.0440075` Chr`16` : `49,142,506`	0.000	0.999	0.000
rs735951 lBF = `-0.136693` Chr`16` : `11,693,536`	0.001	0.999	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.000	0.999	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	0.999	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.000	0.999	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	0.999	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.000	0.999	0.000
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	0.999	0.000
rs16945612 lBF = `0.0662084` Chr`16` : `77,428,972`	0.000	0.999	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	0.999	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	0.999	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	0.999	0.000
rs7204439 lBF = `-0.00702572` Chr`16` : `661,335`	0.000	0.999	0.000
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.000	0.999	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	0.999	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.999	0.000
rs73591976 lBF = `-0.0361216` Chr`16` : `67,811,590`	0.000	0.999	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	0.999	0.000
rs1862746 lBF = `-0.0771389` Chr`16` : `60,462,358`	0.000	0.999	0.000
rs8049607 lBF = `-0.131006` Chr`16` : `11,691,753`	0.000	0.999	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	0.999	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.000	0.999	0.000
rs3112612 lBF = `0.875649` Chr`16` : `52,635,164`	0.000	0.999	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.000	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.999	0.000
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.000	0.999	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.000	0.999	0.000
rs9922678 lBF = `0.176249` Chr`16` : `9,946,319`	0.000	0.999	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.000	0.999	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	0.999	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	0.999	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	0.999	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	0.999	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	0.999	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.000	0.999	0.000
rs2516739 lBF = `-0.0609532` Chr`16` : `2,097,158`	0.000	0.999	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.000	0.999	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.000	0.999	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.000	0.999	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	0.999	0.000
rs8058295 lBF = `1.23133` Chr`16` : `9,911,386`	0.000	0.999	0.000
rs6499165 lBF = `0.699227` Chr`16` : `68,326,200`	0.000	0.999	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	0.999	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	0.999	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	0.999	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.000	0.999	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	0.999	0.000
rs9646303 lBF = `0.011346` Chr`16` : `87,461,969`	0.000	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	0.999	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.000	0.999	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.000	0.999	0.000
rs9932186 lBF = `-0.0871129` Chr`16` : `60,314,656`	0.000	0.999	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	0.999	0.000
rs12446319 lBF = `-0.126731` Chr`16` : `81,774,798`	0.000	0.999	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.000	0.999	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.000	0.999	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.000	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	0.999	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	0.999	0.000
rs71390846 lBF = `2.1335` Chr`16` : `86,714,715`	0.000	0.999	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	0.999	0.000
rs9652601 lBF = `1.26765` Chr`16` : `11,174,365`	0.000	0.999	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.000	0.999	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	0.999	0.000
rs711752 lBF = `0.246679` Chr`16` : `56,996,211`	0.000	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	0.999	0.000
rs9788927 lBF = `0.0479818` Chr`16` : `7,929,828`	0.000	0.999	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	0.999	0.000
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.000	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.999	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.000	0.999	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	0.999	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.4843

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.4358

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3711

Cluster X0112

log Bayes Factor = 98.8923

contains 7 variants

0.2513

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9840

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9413

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9392

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9372

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9283

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9257

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9240

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9061

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9059

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8943

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8741

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8640

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8470

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8344

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8336

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8316

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8282

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8255

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8059

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8031

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8015

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8000

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7821

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.7807

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7773

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7767

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7763

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7760

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7663

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7598

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7444

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7442

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7428

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7428

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7340

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7314

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7288

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7286

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7246

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7238

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7213

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7206

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7165

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7156

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7117

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7066

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7029

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7028

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6971

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6899

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6783

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6772

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6668

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6651

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6614

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6588

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6546

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6480

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6477

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6476

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6464

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6423

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6366

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6351

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6344

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6316

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6269

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6269

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6269

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6239

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6218

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6188

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6153

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6136

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6106

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6097

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6085

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6082

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6055

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6041

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6039

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6029

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6004

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6001

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5991

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5981

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5926

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5921

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5911

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5908

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5805

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5770

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5733

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5683

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5633

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5551

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5352

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5303

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5257

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5140

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5140

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5140

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5138

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5137

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5126

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5113

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5079

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5062

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4989

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4957

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4952

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4894

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.4849

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4820

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.4752

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4554

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4508

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4083

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.4082

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4075

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3876

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3437

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3410

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3286

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3258

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3055

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2882

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.2794

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2720

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2664

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2441

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2431

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1894

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1305

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1183

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0789

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0601

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0565

Cluster X0322

log Bayes Factor = 70.0115

contains 3 variants

0.0526

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`)