TreeWAS – [D16.0] Scapula and long bones of upper limb

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
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.749	0.251	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.611	0.389	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.605	0.395	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.579	0.420	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.578	0.422	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.571	0.429	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.559	0.441	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.552	0.448	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.536	0.464	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.534	0.465	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.532	0.468	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.530	0.470	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.526	0.474	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.522	0.478	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.517	0.483	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.514	0.486	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.514	0.486	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.513	0.487	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.513	0.487	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.512	0.488	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.511	0.489	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.508	0.491	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.507	0.493	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.505	0.495	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.504	0.496	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.504	0.496	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.501	0.498	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.499	0.501	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.495	0.505	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.492	0.508	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.488	0.512	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.516	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.483	0.517	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.482	0.518	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.464	0.536	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.459	0.540	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.447	0.553	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.375	0.625	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.373	0.626	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.370	0.630	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.362	0.638	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.361	0.639	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.351	0.649	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.333	0.667	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.323	0.677	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.302	0.698	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.302	0.698	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.295	0.705	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.290	0.710	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.285	0.714	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.283	0.717	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.259	0.741	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.252	0.747	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.251	0.749	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.243	0.757	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.240	0.760	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.233	0.766	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.227	0.773	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.206	0.794	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.204	0.796	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.202	0.797	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.201	0.799	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.198	0.802	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.189	0.810	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.183	0.817	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.179	0.821	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.175	0.825	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.171	0.828	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.171	0.829	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.158	0.842	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.156	0.844	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.148	0.852	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.148	0.852	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.146	0.854	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.143	0.857	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.143	0.857	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.130	0.870	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.128	0.871	0.001
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.119	0.881	0.000
rs9926296 lBF = `12.8749` Chr`16` : `89,818,089`	0.000	0.881	0.119
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.118	0.882	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.118	0.882	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.117	0.882	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.108	0.891	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.106	0.894	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.100	0.900	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.098	0.902	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.098	0.902	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.098	0.902	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.096	0.904	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.094	0.906	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.093	0.907	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.090	0.909	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.090	0.910	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.079	0.921	0.000
rs3743860 lBF = `6.57378` Chr`16` : `89,818,491`	0.076	0.924	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.074	0.926	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.073	0.927	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.069	0.931	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.065	0.935	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.062	0.938	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.060	0.939	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.056	0.943	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.056	0.944	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.054	0.945	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.052	0.948	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.051	0.948	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.051	0.949	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.051	0.949	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.045	0.954	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.039	0.961	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.038	0.962	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.037	0.963	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.036	0.963	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.036	0.964	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.036	0.964	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.035	0.964	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.034	0.966	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.034	0.966	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.033	0.966	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.032	0.968	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.029	0.971	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.028	0.972	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.026	0.974	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.023	0.976	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.023	0.977	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.022	0.978	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.021	0.978	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.981	0.019
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.019	0.981	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.017	0.982	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.017	0.983	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.017	0.983	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.016	0.984	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.015	0.985	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.001	0.985	0.014
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.015	0.985	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	0.987	0.013
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.011	0.988	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.010	0.989	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.010	0.990	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.010	0.990	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.010	0.990	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.009	0.990	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.010	0.990	0.000
rs11644601 lBF = `0.424659` Chr`16` : `15,172,118`	0.009	0.991	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.009	0.991	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.008	0.992	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.007	0.992	0.001
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.006	0.992	0.002
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.007	0.993	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.007	0.993	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.006	0.993	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.006	0.993	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.006	0.993	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.006	0.994	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.006	0.994	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.006	0.994	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.005	0.994	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.005	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.005	0.995	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.005	0.995	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.004	0.995	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.004	0.995	0.000
rs12597084 lBF = `-0.0936541` Chr`16` : `5,819,620`	0.000	0.996	0.004
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.004	0.996	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.004	0.996	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.004	0.996	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.003	0.996	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.003	0.996	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.003	0.996	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.003	0.997	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.003	0.997	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.003	0.997	0.001
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.003	0.997	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.002	0.997	0.001
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.002	0.997	0.000
rs1629212 lBF = `-0.067681` Chr`16` : `15,378,697`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.002	0.997	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.002	0.998	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.002	0.998	0.000
rs3198697 lBF = `-0.0334111` Chr`16` : `15,129,940`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.002	0.998	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.002	0.998	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.002	0.998	0.000
rs2968482 lBF = `13.1012` Chr`16` : `88,844,433`	0.000	0.998	0.002
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.001	0.998	0.000
rs62048221 lBF = `12.3819` Chr`16` : `88,846,552`	0.000	0.998	0.001
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.999	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.001	0.999	0.000
rs6498540 lBF = `0.0170265` Chr`16` : `15,130,594`	0.000	0.999	0.001
rs12926012 lBF = `9.64664` Chr`16` : `90,096,003`	0.000	0.999	0.001
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs7204230 lBF = `-0.0418398` Chr`16` : `53,192,331`	0.001	0.999	0.000
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rs1801275 lBF = `-0.0517617` Chr`16` : `27,374,400`	0.000	0.999	0.000
rs12443954 lBF = `-0.0692959` Chr`16` : `89,741,496`	0.001	0.999	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.999	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	0.999	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	0.999	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	0.999	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.000	0.999	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	0.999	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.000	0.999	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.000	0.999	0.000
rs11641016 lBF = `0.0437232` Chr`16` : `86,014,881`	0.000	0.999	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	0.999	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	0.999	0.000
rs2270368 lBF = `0.0178197` Chr`16` : `50,714,335`	0.000	0.999	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.000	0.999	0.000
rs17213965 lBF = `0.0146115` Chr`16` : `15,881,967`	0.000	0.999	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.000
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.000	0.999	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.000	0.999	0.000
rs2041733 lBF = `-0.0453516` Chr`16` : `11,229,589`	0.000	0.999	0.000
rs2221433 lBF = `-0.0502745` Chr`16` : `10,663,627`	0.000	0.999	0.000
rs2030114 lBF = `-0.057639` Chr`16` : `51,609,947`	0.000	0.999	0.000
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.000	0.999	0.000
rs8052560 lBF = `-0.0737905` Chr`16` : `88,777,242`	0.000	0.999	0.000
rs13336428 lBF = `-0.0798475` Chr`16` : `1,532,463`	0.001	0.999	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.000	0.999	0.000
rs376402 lBF = `19.5183` Chr`16` : `89,674,320`	0.000	0.999	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	0.999	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.000	0.999	0.000
rs11076780 lBF = `5.5846` Chr`16` : `89,397,954`	0.000	0.999	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	0.999	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	0.999	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	0.999	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	0.999	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	0.999	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	0.999	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	0.999	0.000
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs11860650 lBF = `-0.0126905` Chr`16` : `31,326,706`	0.000	0.999	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	0.999	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	0.999	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.999	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	0.999	0.000
rs26868 lBF = `-0.0569542` Chr`16` : `2,249,376`	0.000	0.999	0.000
rs7404095 lBF = `-0.0575876` Chr`16` : `23,864,590`	0.000	0.999	0.000
rs11642421 lBF = `-0.0718059` Chr`16` : `23,749,777`	0.000	0.999	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	0.999	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	0.999	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.000	0.999	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	0.999	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.000	0.999	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.999	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.999	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	0.999	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	0.999	0.000
rs7195486 lBF = `0.121104` Chr`16` : `4,255,180`	0.000	0.999	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	0.999	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.999	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.000	0.999	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.999	0.000
rs7192086 lBF = `0.0104938` Chr`16` : `13,061,611`	0.000	0.999	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.000	0.999	0.000
rs9888739 lBF = `-0.0116703` Chr`16` : `31,313,253`	0.000	0.999	0.000
rs35472514 lBF = `-0.0169176` Chr`16` : `31,283,323`	0.000	0.999	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	0.999	0.000
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.000	0.999	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	0.999	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.000	0.999	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.000	0.999	0.000
rs8045334 lBF = `-0.084085` Chr`16` : `63,573,376`	0.000	0.999	0.000
rs1948632 lBF = `-0.084387` Chr`16` : `75,991,446`	0.000	0.999	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	0.999	0.000
rs8057031 lBF = `16.8889` Chr`16` : `88,783,449`	0.000	0.999	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.000	0.999	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.000	0.999	0.000
rs9930567 lBF = `6.44001` Chr`16` : `89,628,073`	0.000	0.999	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	0.999	0.000
rs35942151 lBF = `5.50895` Chr`16` : `6,949,523`	0.000	0.999	0.000
rs3096299 lBF = `5.36096` Chr`16` : `89,448,663`	0.000	0.999	0.000
rs11639988 lBF = `0.582597` Chr`16` : `19,944,363`	0.000	0.999	0.000
rs12444979 lBF = `0.327887` Chr`16` : `19,933,600`	0.000	0.999	0.000
rs12446632 lBF = `0.324896` Chr`16` : `19,935,389`	0.000	0.999	0.000
rs12446554 lBF = `0.324896` Chr`16` : `19,935,073`	0.000	0.999	0.000
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.000	0.999	0.000
rs4784256 lBF = `0.215364` Chr`16` : `52,814,559`	0.000	0.999	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	0.999	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.000	0.999	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	0.999	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.000	0.999	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.000	0.999	0.000
rs6498169 lBF = `0.115457` Chr`16` : `11,249,329`	0.000	0.999	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.000	0.999	0.000
rs4784934 lBF = `0.0912296` Chr`16` : `58,459,926`	0.000	0.999	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.000	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.2965

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1364

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8982

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8758

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8508

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7783

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7389

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7292

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7164

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7158

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7132

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7131

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7075

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7062

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7002

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6992

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6988

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6911

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6885

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6868

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6793

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6762

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6732

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6719

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6679

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6663

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6655

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6535

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6489

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6479

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6464

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6451

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6437

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6425

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6421

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6359

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6359

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6338

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6333

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6323

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6293

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6279

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6267

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6261

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6223

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6221

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6210

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6205

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6191

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6163

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6152

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6137

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6132

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6125

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6110

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6046

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6008

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5995

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5986

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5967

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5949

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5941

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5823

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5820

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5787

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5755

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5755

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5727

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5716

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5705

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5696

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5680

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5646

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5559

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5555

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5534

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5504

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5474

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5470

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5411

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5404

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5354

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5200

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5140

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5140

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5139

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5138

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5119

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5118

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5115

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5111

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5097

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5058

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5057

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5037

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5037

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4954

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4947

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4897

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4788

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4775

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4693

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.4645

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4594

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4449

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4331

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4288

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4007

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3949

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3927

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3924

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3882

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3626

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3514

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3481

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3317

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3204

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3049

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2777

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2772

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2567

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2562

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2542

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2533

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2347

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1986

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1899

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1701

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1671

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1589

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1045

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1025

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0933

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0894

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0823

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0819

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0786

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0742

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0706

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0691

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0686

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0561

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0554

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0549

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0511

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`)