TreeWAS – [M79.69] Pain in limb (Site unspecified)

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
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.965	0.035	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.954	0.046	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.888	0.112	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.887	0.113	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.827	0.173	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.813	0.187	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.767	0.233	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.758	0.242	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.724	0.276	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.717	0.283	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.709	0.291	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.698	0.302	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.690	0.310	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.685	0.315	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.679	0.321	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.648	0.352	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.643	0.357	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.639	0.361	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.629	0.371	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.610	0.389	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.609	0.391	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.601	0.399	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.588	0.412	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.584	0.416	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.582	0.417	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.561	0.439	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.555	0.445	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.553	0.447	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.546	0.453	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.545	0.455	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.526	0.474	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.515	0.485	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.513	0.487	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.509	0.491	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.496	0.504	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.489	0.511	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.488	0.512	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.474	0.526	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.454	0.546	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.447	0.553	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.434	0.566	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.434	0.566	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.426	0.574	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.425	0.574	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.424	0.576	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.420	0.579	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.411	0.589	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.400	0.599	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.392	0.608	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.389	0.611	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.364	0.636	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.359	0.641	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.341	0.659	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.334	0.666	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.328	0.672	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.316	0.684	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.298	0.702	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.271	0.729	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.271	0.729	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.266	0.734	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.256	0.743	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.249	0.750	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.241	0.759	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.236	0.764	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.235	0.765	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.234	0.766	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.233	0.766	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.233	0.767	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.215	0.785	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.213	0.787	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.211	0.788	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.212	0.788	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.211	0.789	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.211	0.789	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.201	0.798	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.200	0.800	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.200	0.800	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.199	0.801	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.198	0.802	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.184	0.815	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.184	0.816	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.171	0.828	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.163	0.837	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.161	0.838	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.154	0.846	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.153	0.847	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.149	0.851	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.145	0.855	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.140	0.860	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.139	0.860	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.139	0.861	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.129	0.870	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.125	0.875	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.118	0.881	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.112	0.888	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.112	0.888	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.107	0.892	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.106	0.894	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.105	0.894	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.103	0.896	0.001
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.103	0.896	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.102	0.897	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.090	0.910	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.088	0.910	0.002
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.088	0.912	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.088	0.912	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.088	0.912	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.088	0.912	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.086	0.914	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.082	0.918	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.076	0.923	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.073	0.927	0.000
rs7192208 lBF = `0.0432767` Chr`16` : `77,329,641`	0.070	0.930	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.068	0.932	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.066	0.933	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.066	0.934	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.066	0.934	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.065	0.935	0.000
rs55760002 lBF = `0.0377663` Chr`16` : `78,938,643`	0.062	0.938	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.059	0.941	0.000
rs111756027 lBF = `0.0820002` Chr`16` : `77,318,111`	0.059	0.941	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.058	0.942	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.056	0.944	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.055	0.945	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.054	0.946	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.053	0.946	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.047	0.953	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.045	0.954	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.042	0.957	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.041	0.959	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.041	0.959	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.040	0.960	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.035	0.963	0.002
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.036	0.964	0.001
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.035	0.964	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.034	0.966	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.032	0.968	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.030	0.969	0.001
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.030	0.970	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.028	0.971	0.001
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.029	0.971	0.000
rs2047925 lBF = `0.035211` Chr`16` : `78,935,908`	0.028	0.972	0.000
rs59626546 lBF = `0.0169238` Chr`16` : `78,938,589`	0.027	0.973	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.027	0.973	0.000
rs4888873 lBF = `0.0198001` Chr`16` : `78,937,138`	0.026	0.974	0.000
rs62038064 lBF = `0.018332` Chr`16` : `78,937,752`	0.025	0.975	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.024	0.975	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.024	0.976	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.023	0.977	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.022	0.978	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.019	0.981	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.018	0.981	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.017	0.982	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	0.984	0.016
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.015	0.984	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.015	0.985	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.014	0.986	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.012	0.988	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.011	0.988	0.000
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.011	0.989	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.010	0.989	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.010	0.990	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.010	0.990	0.000
rs4788084 lBF = `1.881` Chr`16` : `28,539,848`	0.000	0.990	0.010
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.009	0.991	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.008	0.991	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.008	0.992	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.008	0.992	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.008	0.992	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.008	0.992	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.008	0.992	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.993	0.007
rs8057849 lBF = `6.81393` Chr`16` : `75,443,816`	0.007	0.993	0.000
rs2650492 lBF = `-0.0547964` Chr`16` : `28,333,411`	0.000	0.993	0.007
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.007	0.993	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.006	0.993	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	0.994	0.006
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.006	0.994	0.000
rs6498114 lBF = `-0.07854` Chr`16` : `10,964,118`	0.006	0.994	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.006	0.994	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.000	0.995	0.005
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.005	0.995	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.005	0.995	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.005	0.995	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.004	0.995	0.001
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.996	0.004
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.004	0.996	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.004	0.996	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.004	0.996	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.004	0.996	0.000
rs4888372 lBF = `5.09511` Chr`16` : `75,313,485`	0.004	0.996	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.004	0.996	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.004	0.996	0.000
rs7199390 lBF = `0.116764` Chr`16` : `11,313,051`	0.004	0.996	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.004	0.996	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.003	0.996	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.003	0.997	0.000
rs12149074 lBF = `0.0293647` Chr`16` : `80,105,866`	0.000	0.997	0.003
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.003	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.003	0.997	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.003	0.997	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.000	0.997	0.003
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.003	0.997	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.003	0.997	0.000
rs12447804 lBF = `0.290639` Chr`16` : `58,075,282`	0.000	0.997	0.003
rs35320143 lBF = `0.138708` Chr`16` : `66,638,245`	0.000	0.997	0.003
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.003	0.997	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.002	0.997	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.002	0.997	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.002	0.997	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.002	0.997	0.000
rs56213767 lBF = `0.62151` Chr`16` : `15,379,572`	0.002	0.998	0.000
rs4784223 lBF = `83.2469` Chr`16` : `52,575,907`	0.002	0.998	0.000
rs8048589 lBF = `0.745246` Chr`16` : `12,185,810`	0.002	0.998	0.000
rs7189020 lBF = `-0.0521711` Chr`16` : `304,803`	0.002	0.998	0.000
rs4887818 lBF = `5.72802` Chr`16` : `75,361,995`	0.002	0.998	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.998	0.000
rs12325192 lBF = `8.86306` Chr`16` : `51,488,129`	0.002	0.998	0.000
rs2865531 lBF = `5.22883` Chr`16` : `75,390,316`	0.000	0.998	0.002
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.002	0.998	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	0.998	0.002
rs3803662 lBF = `82.3326` Chr`16` : `52,586,341`	0.002	0.998	0.000
rs13335336 lBF = `0.0144653` Chr`16` : `10,559,263`	0.000	0.998	0.002
rs4087296 lBF = `-0.00751085` Chr`16` : `82,377,781`	0.002	0.998	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.000	0.998	0.002
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.001	0.998	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.002	0.998	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.001	0.998	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.001	0.998	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.001	0.998	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	0.998	0.002
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.001	0.998	0.000
rs4788815 lBF = `0.00548933` Chr`16` : `71,634,811`	0.000	0.998	0.001
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.001	0.998	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.001	0.998	0.000
rs300032 lBF = `-0.0533811` Chr`16` : `86,680,996`	0.000	0.998	0.002
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.001	0.999	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	0.999	0.001
rs7188697 lBF = `0.364534` Chr`16` : `58,622,178`	0.000	0.999	0.001
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.001
rs3743832 lBF = `0.00130723` Chr`16` : `9,213,880`	0.001	0.999	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.999	0.000
rs11150612 lBF = `-0.025294` Chr`16` : `31,357,760`	0.000	0.999	0.001
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.001	0.999	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	0.999	0.001
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	0.999	0.001
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	0.999	0.001
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.001	0.999	0.000
rs16944158 lBF = `-0.0260663` Chr`16` : `49,652,779`	0.000	0.999	0.001
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.001	0.999	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	0.999	0.001
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.000	0.999	0.001
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
rs246196 lBF = `0.513873` Chr`16` : `58,574,253`	0.001	0.999	0.000
rs12597422 lBF = `0.019029` Chr`16` : `53,887,738`	0.001	0.999	0.000
rs7359397 lBF = `1.47495` Chr`16` : `28,885,659`	0.000	0.999	0.001
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	0.999	0.001
rs17550532 lBF = `0.0223653` Chr`16` : `9,744,095`	0.001	0.999	0.000
rs12444931 lBF = `1.20963` Chr`16` : `7,753,704`	0.001	0.999	0.000
rs13339636 lBF = `0.00046186` Chr`16` : `298,588`	0.001	0.999	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.001	0.999	0.000
rs181710595 lBF = `0.00066922` Chr`16` : `83,467,344`	0.001	0.999	0.000
rs75774303 lBF = `0.00065522` Chr`16` : `19,274,552`	0.001	0.999	0.000
rs37060 lBF = `0.232265` Chr`16` : `58,566,304`	0.001	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.001	0.999	0.000
rs191151465 lBF = `0.00036546` Chr`16` : `77,594,452`	0.001	0.999	0.000
rs5817082 lBF = `0.00299668` Chr`16` : `56,997,349`	0.001	0.999	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.001	0.999	0.000
rs4784227 lBF = `91.5144` Chr`16` : `52,599,188`	0.001	0.999	0.000
rs2266928 lBF = `-0.0690413` Chr`16` : `580,124`	0.001	0.999	0.000
rs2080501 lBF = `-0.113713` Chr`16` : `49,643,566`	0.000	0.999	0.001
rs41389746 lBF = `-0.00008696` Chr`16` : `82,638,218`	0.001	0.999	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.001	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.001	0.999	0.000
rs2034588 lBF = `0.00016354` Chr`16` : `8,329,327`	0.001	0.999	0.000
rs10852453 lBF = `0.00014183` Chr`16` : `53,073,788`	0.000	0.999	0.001
rs9922516 lBF = `0.0001418` Chr`16` : `18,024,850`	0.001	0.999	0.000
rs7203560 lBF = `0.00013589` Chr`16` : `184,390`	0.001	0.999	0.000
rs16948255 lBF = `0.00011315` Chr`16` : `74,881,820`	0.001	0.999	0.000
rs147174681 lBF = `0.00003173` Chr`16` : `55,718,097`	0.001	0.999	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	0.999	0.001
rs1381451 lBF = `0.00001435` Chr`16` : `51,715,875`	0.001	0.999	0.001
rs13333308 lBF = `0.00000543` Chr`16` : `11,701,649`	0.001	0.999	0.000
rs116768843 lBF = `0` Chr`16` : `60,732,168`	0.001	0.999	0.001
rs151011520 lBF = `0` Chr`16` : `65,661,516`	0.001	0.999	0.001
rs148319405 lBF = `0` Chr`16` : `50,908,818`	0.001	0.999	0.001
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
rs184181234 lBF = `0` Chr`16` : `60,726,207`	0.001	0.999	0.001
rs189297294 lBF = `0` Chr`16` : `25,221,816`	0.001	0.999	0.001
rs114607539 lBF = `0` Chr`16` : `60,697,586`	0.001	0.999	0.001
rs79206939 lBF = `0` Chr`16` : `53,860,052`	0.001	0.999	0.001
rs143522076 lBF = `0` Chr`16` : `81,375,852`	0.001	0.999	0.001
rs191732819 lBF = `0` Chr`16` : `13,865,227`	0.001	0.999	0.001
rs150896862 lBF = `0` Chr`16` : `60,690,432`	0.001	0.999	0.001
rs143132326 lBF = `0` Chr`16` : `60,734,667`	0.001	0.999	0.001
rs142313660 lBF = `0` Chr`16` : `81,370,140`	0.001	0.999	0.001
rs186108482 lBF = `0` Chr`16` : `13,859,191`	0.001	0.999	0.001
rs115958457 lBF = `0` Chr`16` : `86,827,007`	0.001	0.999	0.001
rs73251207 lBF = `0` Chr`16` : `87,615,821`	0.001	0.999	0.001
rs12386026 lBF = `-0.0000022` Chr`16` : `82,817,591`	0.001	0.999	0.000
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.000	0.999	0.001
rs1659127 lBF = `0.00015981` Chr`16` : `14,388,305`	0.000	0.999	0.001
rs9302841 lBF = `-0.00000593` Chr`16` : `7,227,122`	0.001	0.999	0.000
rs7187140 lBF = `-0.00000637` Chr`16` : `16,011,680`	0.001	0.999	0.000
rs9924561 lBF = `-0.00001304` Chr`16` : `314,780`	0.001	0.999	0.000
rs13335629 lBF = `-0.0000141` Chr`16` : `310,380`	0.001	0.999	0.000
rs78394940 lBF = `-0.00002103` Chr`16` : `11,222,238`	0.000	0.999	0.001
rs9939760 lBF = `-0.00061628` Chr`16` : `83,652,902`	0.001	0.999	0.000
rs11866815 lBF = `-0.0145204` Chr`16` : `387,867`	0.001	0.999	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	0.999	0.001
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.001	0.999	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	0.999	0.001
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.000	0.999	0.001
rs16963349 lBF = `0.00063379` Chr`16` : `84,338,234`	0.000	0.999	0.000
rs74475935 lBF = `-0.00036537` Chr`16` : `16,055,106`	0.001	0.999	0.000
rs746080 lBF = `-0.101673` Chr`16` : `84,274,405`	0.000	0.999	0.001
rs7498665 lBF = `1.38705` Chr`16` : `28,883,241`	0.000	0.999	0.001
rs142916547 lBF = `-0.00053781` Chr`16` : `25,500,442`	0.000	0.999	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.001	0.999	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	0.999	0.001
rs500492 lBF = `0.00241029` Chr`16` : `1,050,877`	0.000	0.999	0.001
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs150063 lBF = `-0.0425475` Chr`16` : `13,238,897`	0.000	0.999	0.001
rs37062 lBF = `0.0875835` Chr`16` : `58,567,238`	0.001	0.999	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.001	0.999	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	0.999	0.001
rs30388 lBF = `-0.0567583` Chr`16` : `79,614,116`	0.001	0.999	0.000
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.001	0.999	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.001	0.999	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.001	0.999	0.000
rs8054347 lBF = `-0.0464613` Chr`16` : `6,717,757`	0.000	0.999	0.001
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.999	0.001
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs5743289 lBF = `8.95714` Chr`16` : `50,756,774`	0.000	0.999	0.001
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.001	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.001	0.999	0.000
rs137967137 lBF = `-0.00184843` Chr`16` : `80,467,193`	0.000	0.999	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs7184362 lBF = `-0.0147603` Chr`16` : `55,879,620`	0.000	0.999	0.000
rs34572943 lBF = `-0.0392314` Chr`16` : `31,272,353`	0.001	0.999	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.001	0.999	0.000
rs8060598 lBF = `0.44141` Chr`16` : `50,781,802`	0.001	0.999	0.000
rs3813009 lBF = `-0.0491261` Chr`16` : `81,960,958`	0.001	0.999	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.999	0.000
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.001	0.999	0.000
rs1867485 lBF = `-0.0966553` Chr`16` : `86,681,031`	0.001	0.999	0.000
rs4784220 lBF = `23.5457` Chr`16` : `52,535,810`	0.001	0.999	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.001	0.999	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	0.999	0.001
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.999	0.001
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	0.999	0.000
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.000	0.999	0.001
rs6500744 lBF = `0.0031726` Chr`16` : `6,113,661`	0.001	0.999	0.000
rs12325410 lBF = `-0.0478445` Chr`16` : `9,675,246`	0.001	0.999	0.000
rs631208 lBF = `-0.0930504` Chr`16` : `9,399,724`	0.001	0.999	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.001	0.999	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.001	0.999	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.001	0.999	0.000
rs7188801 lBF = `-0.0564031` Chr`16` : `86,707,769`	0.001	0.999	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	0.999	0.001
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.001	0.999	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.001	0.999	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.001	0.999	0.000
rs11649112 lBF = `0.0180939` Chr`16` : `13,361,411`	0.000	0.999	0.001
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.001	0.999	0.000
rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.001	0.999	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.999	0.001
rs8046148 lBF = `0.54859` Chr`16` : `50,142,944`	0.001	0.999	0.000
rs12325245 lBF = `0.243983` Chr`16` : `58,681,393`	0.001	0.999	0.000
rs79090407 lBF = `0.218688` Chr`16` : `26,517,133`	0.001	0.999	0.000
rs12926788 lBF = `0.00831407` Chr`16` : `24,879,963`	0.000	0.999	0.001
rs153091 lBF = `-0.0606374` Chr`16` : `13,253,956`	0.001	0.999	0.000
rs17221417 lBF = `8.74535` Chr`16` : `50,739,582`	0.000	0.999	0.001
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.001	0.999	0.000
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.001	0.999	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.001	0.999	0.000
rs2903308 lBF = `-0.101953` Chr`16` : `13,656,885`	0.001	0.999	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.001	0.999	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.000	0.999	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	0.999	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	0.999	0.000
rs12600277 lBF = `-0.00539822` Chr`16` : `58,759,332`	0.000	0.999	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.001	0.999	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	0.999	0.001
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.001	0.999	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	0.999	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.001	0.999	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.001	0.999	0.000
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.999	0.001
rs10083777 lBF = `-0.0441441` Chr`16` : `81,065,282`	0.001	0.999	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.000	0.999	0.000
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.999	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	0.999	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs870288 lBF = `-0.0775093` Chr`16` : `5,585,852`	0.000	1.000	0.000
rs886427 lBF = `-0.0938422` Chr`16` : `3,023,605`	0.000	1.000	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.000	1.000	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.000	1.000	0.000
rs1801275 lBF = `-0.0517617` Chr`16` : `27,374,400`	0.000	1.000	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	1.000	0.000
rs17208368 lBF = `0.245761` Chr`16` : `55,072,007`	0.000	1.000	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs7195303 lBF = `-0.0261296` Chr`16` : `75,167,579`	0.000	1.000	0.000
rs1728400 lBF = `-0.0595605` Chr`16` : `86,434,446`	0.000	1.000	0.000
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.000	1.000	0.000
rs560947 lBF = `-0.0903424` Chr`16` : `3,185,737`	0.000	1.000	0.000
rs4780401 lBF = `-0.0932928` Chr`16` : `11,839,326`	0.000	1.000	0.000
rs4131099 lBF = `-0.0992902` Chr`16` : `51,330,531`	0.000	1.000	0.000
rs728571 lBF = `2.30158` Chr`16` : `55,214,093`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.000	1.000	0.000
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	1.000	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	1.000	0.000
rs2388639 lBF = `-0.064396` Chr`16` : `54,489,793`	0.000	1.000	0.000
rs16961543 lBF = `-0.068759` Chr`16` : `59,940,188`	0.000	1.000	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	1.000	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.000	1.000	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs4561483 lBF = `0.00633995` Chr`16` : `11,920,037`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	1.000	0.000
rs464274 lBF = `19.9902` Chr`16` : `89,656,631`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	1.000	0.000
rs4780355 lBF = `0.183442` Chr`16` : `11,347,858`	0.000	1.000	0.000
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.000	1.000	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.000	1.000	0.000
rs7195066 lBF = `9.63193` Chr`16` : `89,836,323`	0.000	1.000	0.000
rs17767419 lBF = `3.33166` Chr`16` : `79,744,548`	0.000	1.000	0.000
rs3813582 lBF = `3.14766` Chr`16` : `79,749,353`	0.000	1.000	0.000
rs7188445 lBF = `1.89931` Chr`16` : `79,734,987`	0.000	1.000	0.000
rs4780805 lBF = `0.251748` Chr`16` : `19,404,645`	0.000	1.000	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.000	1.000	0.000
rs17184291 lBF = `0.012679` Chr`16` : `81,161,295`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.000	1.000	0.000
rs11645781 lBF = `-0.109493` Chr`16` : `6,896,128`	0.000	1.000	0.000
rs62026376 lBF = `7.97252` Chr`16` : `11,228,712`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.000	1.000	0.000
rs11645366 lBF = `0.244066` Chr`16` : `62,377,153`	0.000	1.000	0.000
rs6497441 lBF = `0.233259` Chr`16` : `9,829,848`	0.000	1.000	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	1.000	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs7405404 lBF = `-0.0111953` Chr`16` : `13,749,859`	0.000	1.000	0.000
rs7191820 lBF = `-0.0443592` Chr`16` : `79,363,814`	0.000	1.000	0.000
rs7191751 lBF = `-0.067992` Chr`16` : `86,304,261`	0.000	1.000	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs924135 lBF = `0.189171` Chr`16` : `16,123,459`	0.000	1.000	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs17290922 lBF = `-0.0251969` Chr`16` : `57,024,317`	0.000	1.000	0.000
rs12597458 lBF = `-0.0663606` Chr`16` : `72,030,970`	0.000	1.000	0.000
rs11074782 lBF = `-0.113182` Chr`16` : `26,505,011`	0.000	1.000	0.000
rs40129 lBF = `0.230139` Chr`16` : `9,438,692`	0.000	1.000	0.000
rs12149608 lBF = `0.143998` Chr`16` : `68,586,504`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	1.000	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	1.000	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs2178146 lBF = `-0.0496594` Chr`16` : `86,463,695`	0.000	1.000	0.000
rs1364247 lBF = `-0.0509886` Chr`16` : `82,477,314`	0.000	1.000	0.000
rs1065656 lBF = `-0.0578323` Chr`16` : `1,838,836`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9956

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9927

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9905

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9896

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9869

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9831

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9779

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9721

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9694

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9684

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9647

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9623

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9615

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9547

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9547

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9531

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9524

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9498

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9352

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9286

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9261

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9257

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9173

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9096

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9095

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9085

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9071

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8933

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8905

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8749

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8645

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8589

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8579

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8545

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8515

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8265

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8163

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8111

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8086

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8029

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7923

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7895

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7831

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7796

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7782

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7675

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7624

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7611

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7608

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7583

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7554

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7268

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7154

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6932

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6876

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6743

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6669

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6660

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6643

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6526

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6521

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6503

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6381

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6366

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6339

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6271

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6165

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6153

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6065

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5966

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5893

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5852

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5792

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5719

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5624

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5377

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5287

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5201

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5104

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5071

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5046

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.4958

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4882

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4820

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4726

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4673

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4665

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4626

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4335

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4182

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4175

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4140

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4101

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3966

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3848

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3706

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3614

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3551

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3468

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3389

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3308

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3287

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3119

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3036

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2754

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2703

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2493

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2395

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2371

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2248

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2135

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2131

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2085

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2048

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1865

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1850

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1787

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1739

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1650

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1605

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1451

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1448

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1300

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1263

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1166

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1115

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1047

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0986

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0955

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0915

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0874

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.0812

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0796

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0779

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0694

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0538

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`)