TreeWAS – [C43.8] Overlapping malignant melanoma of skin

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
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.640	0.360	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.630	0.370	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.618	0.382	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.591	0.409	0.000
rs12459943 lBF = `3.97847` Chr`19` : `10,859,508`	0.493	0.506	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.466	0.533	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.445	0.555	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.433	0.567	0.000
rs139256956 lBF = `2.77402` Chr`19` : `31,097,322`	0.428	0.572	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.420	0.580	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.404	0.595	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.396	0.604	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.389	0.611	0.000
rs78168814 lBF = `14.9865` Chr`19` : `440,655`	0.369	0.630	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.361	0.639	0.000
rs182323560 lBF = `0.696792` Chr`19` : `37,263,238`	0.355	0.645	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.351	0.649	0.000
rs2232063 lBF = `0.54636` Chr`19` : `10,196,350`	0.340	0.660	0.000
rs34457396 lBF = `18.3682` Chr`19` : `10,752,352`	0.319	0.681	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.299	0.701	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.299	0.701	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.298	0.702	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.296	0.703	0.000
rs6603109 lBF = `0.451115` Chr`19` : `7,424,528`	0.266	0.733	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.260	0.739	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.249	0.750	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.222	0.777	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.218	0.782	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.214	0.786	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.206	0.793	0.000
rs138292237 lBF = `14.389` Chr`19` : `21,910,125`	0.200	0.800	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.192	0.807	0.001
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.188	0.812	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.183	0.817	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.182	0.818	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.179	0.821	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.175	0.825	0.000
rs2071699 lBF = `1.60872` Chr`19` : `49,254,504`	0.170	0.829	0.001
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.169	0.831	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.169	0.831	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.166	0.834	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.164	0.836	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.161	0.839	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.159	0.840	0.001
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.156	0.844	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.140	0.860	0.000
rs2159128 lBF = `0.223496` Chr`19` : `950,380`	0.139	0.861	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.138	0.862	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.125	0.875	0.000
rs117216419 lBF = `13.1076` Chr`19` : `41,700,346`	0.124	0.876	0.000
rs8170 lBF = `0.54398` Chr`19` : `17,389,704`	0.119	0.881	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.106	0.893	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.102	0.898	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.098	0.901	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.098	0.902	0.000
rs73031884 lBF = `12.3771` Chr`19` : `31,702,426`	0.096	0.904	0.000
rs77196615 lBF = `18.4565` Chr`19` : `45,380,335`	0.092	0.907	0.001
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.090	0.909	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.090	0.910	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.090	0.910	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.085	0.915	0.001
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.081	0.919	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.080	0.920	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.073	0.927	0.000
rs74176255 lBF = `6.85732` Chr`19` : `7,920,771`	0.070	0.929	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.070	0.930	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.065	0.935	0.000
rs35967093 lBF = `0.048939` Chr`19` : `4,883,741`	0.064	0.936	0.000
rs9749449 lBF = `5.13742` Chr`19` : `58,144,715`	0.061	0.939	0.000
rs12721109 lBF = `26.2199` Chr`19` : `45,447,221`	0.050	0.950	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.049	0.951	0.001
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.049	0.951	0.000
rs73039434 lBF = `2.24288` Chr`19` : `33,524,919`	0.000	0.954	0.046
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.044	0.955	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.041	0.959	0.000
rs1543922 lBF = `0.0774098` Chr`19` : `52,084,836`	0.032	0.968	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.030	0.970	0.001
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.030	0.970	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.029	0.970	0.001
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.029	0.971	0.000
rs147138724 lBF = `15.3443` Chr`19` : `32,582,254`	0.029	0.971	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.025	0.975	0.001
rs2918307 lBF = `0.147061` Chr`19` : `8,789,722`	0.025	0.975	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.023	0.977	0.000
rs10409958 lBF = `0.020407` Chr`19` : `46,953,382`	0.000	0.978	0.022
rs2164983 lBF = `0.168329` Chr`19` : `8,789,381`	0.022	0.978	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.021	0.979	0.000
rs4252548 lBF = `18.3224` Chr`19` : `55,879,672`	0.018	0.982	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.018	0.982	0.000
rs55736564 lBF = `12.1044` Chr`19` : `55,180,067`	0.001	0.982	0.017
rs34536443 lBF = `10.435` Chr`19` : `10,463,118`	0.015	0.985	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.014	0.985	0.001
rs740495 lBF = `2.60832` Chr`19` : `1,124,835`	0.014	0.986	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.013	0.986	0.000
rs2659124 lBF = `9.44249` Chr`19` : `51,354,597`	0.013	0.986	0.000
rs11666377 lBF = `0.0168611` Chr`19` : `17,118,433`	0.013	0.987	0.000
rs80050017 lBF = `0.238972` Chr`19` : `51,383,200`	0.013	0.987	0.000
rs8109288 lBF = `0.0970856` Chr`19` : `16,185,559`	0.012	0.987	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.012	0.987	0.000
rs73001065 lBF = `18.1502` Chr`19` : `19,460,541`	0.011	0.988	0.001
rs113393842 lBF = `0.0194966` Chr`19` : `37,006,567`	0.012	0.988	0.000
rs2017698 lBF = `0.681448` Chr`19` : `50,338,236`	0.011	0.989	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.010	0.990	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.010	0.990	0.000
rs140900046 lBF = `0.434575` Chr`19` : `56,111,075`	0.009	0.991	0.001
rs10414689 lBF = `0.00965162` Chr`19` : `51,796,299`	0.008	0.992	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.008	0.992	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.008	0.992	0.000
rs394819 lBF = `0.00969754` Chr`19` : `45,404,579`	0.007	0.992	0.000
rs73009507 lBF = `20.7347` Chr`19` : `10,961,024`	0.006	0.994	0.000
rs2024092 lBF = `2.7894` Chr`19` : `1,124,031`	0.006	0.994	0.000
rs7245959 lBF = `-0.0552497` Chr`19` : `31,379,109`	0.004	0.996	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.004	0.996	0.000
rs412658 lBF = `-0.0908223` Chr`19` : `22,359,440`	0.004	0.996	0.000
rs116520962 lBF = `0.00482261` Chr`19` : `51,398,427`	0.004	0.996	0.000
rs72999033 lBF = `13.7459` Chr`19` : `19,366,632`	0.002	0.996	0.002
rs150268548 lBF = `12.0978` Chr`19` : `19,494,483`	0.002	0.997	0.001
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.003	0.997	0.000
rs73030953 lBF = `0.043773` Chr`19` : `38,975,449`	0.002	0.997	0.001
rs11671653 lBF = `0.0656012` Chr`19` : `10,838,486`	0.003	0.997	0.000
rs4808075 lBF = `0.0832062` Chr`19` : `17,390,291`	0.003	0.997	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.002	0.997	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.002	0.997	0.001
rs12327666 lBF = `0.0224187` Chr`19` : `14,139,921`	0.002	0.997	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.001	0.997	0.001
rs732505 lBF = `0.100781` Chr`19` : `5,582,535`	0.002	0.998	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.002	0.998	0.000
rs11669133 lBF = `0.390843` Chr`19` : `11,092,139`	0.002	0.998	0.000
rs3745672 lBF = `-0.0139143` Chr`19` : `12,146,370`	0.002	0.998	0.000
rs10410232 lBF = `0.582788` Chr`19` : `33,613,708`	0.002	0.998	0.000
rs433852 lBF = `0.473792` Chr`19` : `49,117,104`	0.002	0.998	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.002	0.998	0.000
rs2304130 lBF = `2.86455` Chr`19` : `19,789,528`	0.000	0.998	0.002
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.001	0.998	0.001
rs8108707 lBF = `6.62886` Chr`19` : `11,474,335`	0.002	0.998	0.000
rs116843064 lBF = `18.2988` Chr`19` : `8,429,323`	0.000	0.998	0.001
rs146861169 lBF = `0.00120274` Chr`19` : `7,792,243`	0.001	0.998	0.000
rs11671664 lBF = `3.73026` Chr`19` : `46,172,278`	0.001	0.998	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.001	0.998	0.000
rs3803915 lBF = `-0.00117709` Chr`19` : `2,160,529`	0.001	0.998	0.000
rs7255066 lBF = `-0.0503042` Chr`19` : `45,146,103`	0.000	0.998	0.001
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.001	0.998	0.000
rs17318596 lBF = `-0.0555985` Chr`19` : `41,937,095`	0.001	0.999	0.000
rs10404998 lBF = `-0.0733092` Chr`19` : `22,608,374`	0.000	0.999	0.001
rs2075710 lBF = `6.70349` Chr`19` : `1,106,845`	0.001	0.999	0.000
rs3786800 lBF = `-0.0668199` Chr`19` : `30,990,700`	0.001	0.999	0.000
rs138534124 lBF = `0.00077418` Chr`19` : `11,300,365`	0.001	0.999	0.000
rs1865075 lBF = `-0.0727677` Chr`19` : `22,554,854`	0.001	0.999	0.000
rs10425559 lBF = `4.50852` Chr`19` : `4,837,487`	0.001	0.999	0.000
rs11667918 lBF = `-0.000318` Chr`19` : `17,232,499`	0.001	0.999	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.001	0.999	0.000
rs4141232 lBF = `0.0528967` Chr`19` : `29,035,556`	0.001	0.999	0.000
rs4804155 lBF = `-0.0216183` Chr`19` : `11,334,295`	0.000	0.999	0.001
rs1800469 lBF = `0.0206843` Chr`19` : `41,860,296`	0.000	0.999	0.001
rs34863160 lBF = `0.00043393` Chr`19` : `57,089,835`	0.001	0.999	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.001	0.999	0.000
rs111730030 lBF = `0.039148` Chr`19` : `13,268,826`	0.001	0.999	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.001	0.999	0.000
rs4926244 lBF = `0.0914543` Chr`19` : `13,374,913`	0.001	0.999	0.000
rs188493101 lBF = `0.00040104` Chr`19` : `17,295,002`	0.001	0.999	0.000
rs10164289 lBF = `0.00036384` Chr`19` : `47,483,922`	0.001	0.999	0.000
rs12976411 lBF = `0.225562` Chr`19` : `32,882,020`	0.001	0.999	0.000
rs558718 lBF = `0.00013435` Chr`19` : `7,909,883`	0.001	0.999	0.000
rs190121281 lBF = `0.00024674` Chr`19` : `19,252,779`	0.001	0.999	0.000
rs737337 lBF = `-0.0405924` Chr`19` : `11,347,493`	0.000	0.999	0.001
rs12721054 lBF = `0.00020901` Chr`19` : `45,422,587`	0.001	0.999	0.000
rs10415749 lBF = `-0.00000079` Chr`19` : `11,652,720`	0.001	0.999	0.000
rs151060619 lBF = `0.00020631` Chr`19` : `47,213,311`	0.001	0.999	0.000
rs8106858 lBF = `-0.00004675` Chr`19` : `58,469,016`	0.001	0.999	0.000
rs138814219 lBF = `0.00009949` Chr`19` : `47,196,646`	0.001	0.999	0.000
rs114855972 lBF = `0.00009949` Chr`19` : `47,194,886`	0.001	0.999	0.000
rs139399000 lBF = `0.00009949` Chr`19` : `47,204,441`	0.001	0.999	0.000
rs147565295 lBF = `0.00009949` Chr`19` : `47,195,255`	0.001	0.999	0.000
rs75185364 lBF = `0.00009949` Chr`19` : `47,192,941`	0.001	0.999	0.000
rs1047781 lBF = `0.00008525` Chr`19` : `49,206,631`	0.001	0.999	0.000
rs115824942 lBF = `0.00008384` Chr`19` : `47,208,382`	0.001	0.999	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.000	0.999	0.001
rs147615524 lBF = `0` Chr`19` : `1,205,889`	0.001	0.999	0.001
rs117403524 lBF = `0` Chr`19` : `20,635,291`	0.001	0.999	0.001
rs142080098 lBF = `0` Chr`19` : `7,796,550`	0.001	0.999	0.001
rs142119409 lBF = `0` Chr`19` : `16,116,431`	0.001	0.999	0.001
rs184381023 lBF = `0` Chr`19` : `41,947,225`	0.001	0.999	0.001
rs10408126 lBF = `0` Chr`19` : `13,245,968`	0.001	0.999	0.001
rs189265675 lBF = `0` Chr`19` : `5,907,423`	0.001	0.999	0.001
rs76617915 lBF = `0` Chr`19` : `41,538,078`	0.001	0.999	0.001
rs144556038 lBF = `0` Chr`19` : `53,085,847`	0.001	0.999	0.001
rs58632700 lBF = `0` Chr`19` : `58,992,001`	0.001	0.999	0.001
rs111563375 lBF = `0` Chr`19` : `5,908,762`	0.001	0.999	0.001
rs17249141 lBF = `-0.00002178` Chr`19` : `11,200,008`	0.001	0.999	0.000
rs3745618 lBF = `-0.00006132` Chr`19` : `47,575,716`	0.001	0.999	0.000
rs445925 lBF = `54.8576` Chr`19` : `45,415,640`	0.001	0.999	0.000
rs78015699 lBF = `-0.00079808` Chr`19` : `18,487,667`	0.001	0.999	0.000
rs17699030 lBF = `-0.025464` Chr`19` : `11,330,942`	0.000	0.999	0.001
rs73931391 lBF = `0.0470993` Chr`19` : `41,407,874`	0.000	0.999	0.001
rs2111504 lBF = `0.0368977` Chr`19` : `32,917,455`	0.001	0.999	0.000
rs6510683 lBF = `0.029027` Chr`19` : `2,547,015`	0.001	0.999	0.000
rs2228671 lBF = `38.6156` Chr`19` : `11,210,912`	0.000	0.999	0.001
rs36032958 lBF = `0.129717` Chr`19` : `57,802,911`	0.000	0.999	0.001
rs3810265 lBF = `-0.0001881` Chr`19` : `50,223,266`	0.000	0.999	0.000
rs2278426 lBF = `-0.0285551` Chr`19` : `11,350,488`	0.000	0.999	0.001
rs8105265 lBF = `0.0722344` Chr`19` : `2,920,705`	0.000	0.999	0.001
rs1529711 lBF = `-0.0232612` Chr`19` : `11,023,434`	0.001	0.999	0.000
rs11666913 lBF = `-0.0722043` Chr`19` : `8,285,730`	0.001	0.999	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.999	0.001
rs7507204 lBF = `-0.0354556` Chr`19` : `3,428,834`	0.001	0.999	0.000
rs7250872 lBF = `-0.0733468` Chr`19` : `1,811,603`	0.000	0.999	0.001
rs10411195 lBF = `-0.00755044` Chr`19` : `20,036,176`	0.001	0.999	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.000	0.999	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.000	0.999	0.000
rs80285556 lBF = `-0.0376127` Chr`19` : `50,540,170`	0.001	0.999	0.000
rs10401193 lBF = `4.24901` Chr`19` : `19,591,066`	0.000	0.999	0.001
rs8105895 lBF = `-0.00521041` Chr`19` : `22,215,457`	0.001	0.999	0.000
rs10404342 lBF = `-0.0433505` Chr`19` : `57,132,238`	0.001	0.999	0.000
rs8100480 lBF = `0.00273395` Chr`19` : `19,299,079`	0.000	0.999	0.000
rs2108622 lBF = `-0.0334891` Chr`19` : `15,990,431`	0.000	0.999	0.001
rs4072910 lBF = `-0.0600503` Chr`19` : `8,644,031`	0.000	0.999	0.001
rs4805924 lBF = `-0.0160811` Chr`19` : `34,168,273`	0.001	0.999	0.000
rs6857 lBF = `185.788` Chr`19` : `45,392,254`	0.001	0.999	0.000
rs2292342 lBF = `0.042879` Chr`19` : `49,118,371`	0.001	0.999	0.000
rs113690530 lBF = `0.00761288` Chr`19` : `33,087,867`	0.000	0.999	0.001
rs117276938 lBF = `-0.0121093` Chr`19` : `49,576,802`	0.000	0.999	0.001
rs740406 lBF = `-0.0227422` Chr`19` : `2,232,221`	0.001	0.999	0.000
rs10411619 lBF = `0.26895` Chr`19` : `12,752,425`	0.000	0.999	0.000
rs12608544 lBF = `0.00987206` Chr`19` : `49,136,651`	0.001	0.999	0.000
rs3987765 lBF = `-0.00285578` Chr`19` : `51,713,743`	0.001	0.999	0.000
rs185308415 lBF = `0.00037617` Chr`19` : `41,317,179`	0.000	0.999	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.000	0.999	0.000
rs73058052 lBF = `0.0309746` Chr`19` : `50,099,422`	0.000	0.999	0.000
rs8113308 lBF = `0.00240832` Chr`19` : `52,445,386`	0.000	0.999	0.000
rs8113142 lBF = `-0.0342136` Chr`19` : `29,012,921`	0.001	0.999	0.000
rs8109578 lBF = `-0.00224085` Chr`19` : `10,213,154`	0.000	0.999	0.000
rs12459897 lBF = `-0.00660074` Chr`19` : `31,596,778`	0.000	0.999	0.000
rs995834 lBF = `-0.0854908` Chr`19` : `28,866,596`	0.000	0.999	0.000
rs7412 lBF = `130.772` Chr`19` : `45,412,079`	0.000	0.999	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.000	0.999	0.000
rs2303759 lBF = `0.409506` Chr`19` : `49,869,051`	0.000	0.999	0.000
rs2974238 lBF = `0.0753486` Chr`19` : `48,117,061`	0.000	0.999	0.000
rs144790747 lBF = `0.0347014` Chr`19` : `14,487,347`	0.000	0.999	0.000
rs34705275 lBF = `0.0162844` Chr`19` : `43,933,725`	0.000	0.999	0.000
rs35917943 lBF = `-0.0133333` Chr`19` : `35,147,183`	0.000	0.999	0.000
rs439401 lBF = `14.9023` Chr`19` : `45,414,451`	0.000	0.999	0.000
rs62110082 lBF = `0.123822` Chr`19` : `52,338,641`	0.000	0.999	0.000
rs17764205 lBF = `0.0609106` Chr`19` : `3,251,219`	0.000	0.999	0.000
rs4803370 lBF = `0.0241074` Chr`19` : `41,317,934`	0.000	0.999	0.000
rs140878064 lBF = `0.0241025` Chr`19` : `41,321,954`	0.000	0.999	0.000
rs3815700 lBF = `-0.0233894` Chr`19` : `33,093,252`	0.000	0.999	0.000
rs2014572 lBF = `-0.0262769` Chr`19` : `57,760,018`	0.000	0.999	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.000	0.999	0.000
rs73033835 lBF = `10.9241` Chr`19` : `31,754,001`	0.000	0.999	0.000
rs9304742 lBF = `0.387686` Chr`19` : `53,451,291`	0.000	0.999	0.000
rs115436704 lBF = `0.372697` Chr`19` : `17,307,813`	0.000	0.999	0.000
rs8102137 lBF = `0.288156` Chr`19` : `30,296,853`	0.000	0.999	0.000
rs17513613 lBF = `0.107031` Chr`19` : `30,286,822`	0.000	0.999	0.000
rs8100241 lBF = `0.0778512` Chr`19` : `17,392,894`	0.000	0.999	0.000
rs117391664 lBF = `0.0240452` Chr`19` : `41,309,150`	0.000	0.999	0.000
rs117821847 lBF = `0.0239638` Chr`19` : `41,310,888`	0.000	0.999	0.000
rs144553930 lBF = `0.0238036` Chr`19` : `41,313,261`	0.000	0.999	0.000
rs149812270 lBF = `0.0236401` Chr`19` : `41,315,326`	0.000	0.999	0.000
rs117139969 lBF = `0.02267` Chr`19` : `41,311,922`	0.000	0.999	0.000
rs147893869 lBF = `0.019787` Chr`19` : `41,321,074`	0.000	0.999	0.000
rs4803468 lBF = `0.0184794` Chr`19` : `41,922,352`	0.000	0.999	0.000
rs117492019 lBF = `0.0160085` Chr`19` : `58,681,861`	0.000	0.999	0.000
rs11880333 lBF = `0.0147017` Chr`19` : `49,144,790`	0.000	0.999	0.000
rs8105815 lBF = `-0.0363676` Chr`19` : `41,673,848`	0.000	0.999	0.000
rs231227 lBF = `-0.100915` Chr`19` : `36,268,067`	0.000	0.999	0.000
rs1065853 lBF = `130.32` Chr`19` : `45,413,233`	0.000	0.999	0.000
rs112374545 lBF = `78.2181` Chr`19` : `11,188,899`	0.000	0.999	0.000
rs1423096 lBF = `0.0227416` Chr`19` : `7,739,177`	0.000	0.999	0.000
rs931608 lBF = `0.00097034` Chr`19` : `22,614,122`	0.000	0.999	0.000
rs56289821 lBF = `77.2625` Chr`19` : `11,188,247`	0.000	0.999	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.000	0.999	0.000
rs55655041 lBF = `0.0723711` Chr`19` : `30,995,200`	0.000	0.999	0.000
rs7258950 lBF = `0.0511245` Chr`19` : `11,250,139`	0.000	0.999	0.000
rs117851058 lBF = `0.0211329` Chr`19` : `41,309,590`	0.000	0.999	0.000
rs140520053 lBF = `-0.00095297` Chr`19` : `42,303,947`	0.000	0.999	0.000
rs142130958 lBF = `78.6315` Chr`19` : `11,190,652`	0.000	0.999	0.000
rs77866734 lBF = `0.0462773` Chr`19` : `1,637,052`	0.000	0.999	0.000
rs11559024 lBF = `0.0102457` Chr`19` : `45,821,183`	0.000	0.999	0.000
rs10418356 lBF = `-0.00622458` Chr`19` : `31,035,686`	0.000	0.999	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.000	0.999	0.000
rs2569559 lBF = `8.14733` Chr`19` : `11,214,533`	0.000	0.999	0.000
rs17695224 lBF = `0.258766` Chr`19` : `52,324,216`	0.000	0.999	0.000
rs79546472 lBF = `0.0357043` Chr`19` : `56,173,377`	0.000	0.999	0.000
rs8111998 lBF = `-0.00188112` Chr`19` : `22,741,675`	0.000	0.999	0.000
rs438811 lBF = `51.3098` Chr`19` : `45,416,741`	0.000	1.000	0.000
rs4803455 lBF = `5.07343` Chr`19` : `41,851,509`	0.000	1.000	0.000
rs1051738 lBF = `0.448887` Chr`19` : `10,577,843`	0.000	1.000	0.000
rs74407240 lBF = `0.0434662` Chr`19` : `2,522,671`	0.000	1.000	0.000
rs1661178 lBF = `0.0280686` Chr`19` : `45,046,352`	0.000	1.000	0.000
rs562638 lBF = `0.0184321` Chr`19` : `39,849,789`	0.000	1.000	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.000	1.000	0.000
rs6511720 lBF = `79.2472` Chr`19` : `11,202,306`	0.000	1.000	0.000
rs55791371 lBF = `78.5581` Chr`19` : `11,188,153`	0.000	1.000	0.000
rs7246967 lBF = `0.367199` Chr`19` : `23,056,346`	0.000	1.000	0.000
rs6509942 lBF = `0.344033` Chr`19` : `30,554,951`	0.000	1.000	0.000
rs76137255 lBF = `0.0428155` Chr`19` : `40,783,832`	0.000	1.000	0.000
rs3936340 lBF = `0.00107011` Chr`19` : `48,527,582`	0.000	1.000	0.000
rs17632542 lBF = `23.0514` Chr`19` : `51,361,757`	0.000	1.000	0.000
rs62113212 lBF = `22.7373` Chr`19` : `51,360,840`	0.000	1.000	0.000
rs34328549 lBF = `11.7329` Chr`19` : `7,253,184`	0.000	1.000	0.000
rs281380 lBF = `1.855` Chr`19` : `49,214,470`	0.000	1.000	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.000	1.000	0.000
rs3786749 lBF = `0.12917` Chr`19` : `49,095,278`	0.000	1.000	0.000
rs17634917 lBF = `0.015084` Chr`19` : `56,265,664`	0.000	1.000	0.000
rs33436 lBF = `-0.014678` Chr`19` : `30,943,677`	0.000	1.000	0.000
rs3760776 lBF = `-0.0155715` Chr`19` : `5,839,746`	0.000	1.000	0.000
rs4805272 lBF = `-0.0359144` Chr`19` : `29,319,706`	0.000	1.000	0.000
rs9807841 lBF = `-0.0408581` Chr`19` : `10,817,656`	0.000	1.000	0.000
rs33439 lBF = `-0.0592957` Chr`19` : `30,945,171`	0.000	1.000	0.000
rs6509701 lBF = `-0.0618617` Chr`19` : `53,384,185`	0.000	1.000	0.000
rs1363326 lBF = `-0.0828841` Chr`19` : `29,325,650`	0.000	1.000	0.000
rs7254892 lBF = `30.0759` Chr`19` : `45,389,596`	0.000	1.000	0.000
rs62117160 lBF = `18.2881` Chr`19` : `45,232,161`	0.000	1.000	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.000	1.000	0.000
rs76561599 lBF = `5.44755` Chr`19` : `18,749,085`	0.000	1.000	0.000
rs11880992 lBF = `0.471001` Chr`19` : `2,176,403`	0.000	1.000	0.000
rs1801272 lBF = `0.25333` Chr`19` : `41,354,533`	0.000	1.000	0.000
rs1654260 lBF = `0.1714` Chr`19` : `20,329,111`	0.000	1.000	0.000
rs7245858 lBF = `0.0903378` Chr`19` : `51,430,596`	0.000	1.000	0.000
rs2043599 lBF = `0.0545247` Chr`19` : `56,451,049`	0.000	1.000	0.000
rs10425465 lBF = `0.0343679` Chr`19` : `33,897,934`	0.000	1.000	0.000
rs190086576 lBF = `-0.0140668` Chr`19` : `45,996,187`	0.000	1.000	0.000
rs7247903 lBF = `-0.036218` Chr`19` : `41,372,475`	0.000	1.000	0.000
rs17638629 lBF = `-0.0434049` Chr`19` : `12,225,372`	0.000	1.000	0.000
rs2735839 lBF = `18.4411` Chr`19` : `51,364,623`	0.000	1.000	0.000
rs8106664 lBF = `7.5182` Chr`19` : `10,728,030`	0.000	1.000	0.000
rs736289 lBF = `2.68174` Chr`19` : `33,757,062`	0.000	1.000	0.000
rs12019136 lBF = `1.10679` Chr`19` : `5,835,677`	0.000	1.000	0.000
rs12459008 lBF = `0.118018` Chr`19` : `53,454,789`	0.000	1.000	0.000
rs2363956 lBF = `0.0988604` Chr`19` : `17,394,124`	0.000	1.000	0.000
rs4804146 lBF = `0.0568319` Chr`19` : `11,256,176`	0.000	1.000	0.000
rs2545770 lBF = `0.0318178` Chr`19` : `41,324,180`	0.000	1.000	0.000
rs3787069 lBF = `-0.0164815` Chr`19` : `6,221,887`	0.000	1.000	0.000
rs1434579 lBF = `-0.0763562` Chr`19` : `44,932,972`	0.000	1.000	0.000
rs8099939 lBF = `-0.0797864` Chr`19` : `42,521,108`	0.000	1.000	0.000
rs2262909 lBF = `-0.110434` Chr`19` : `22,135,270`	0.000	1.000	0.000
rs9797861 lBF = `7.3882` Chr`19` : `10,743,126`	0.000	1.000	0.000
rs11085727 lBF = `1.40057` Chr`19` : `10,466,123`	0.000	1.000	0.000
rs139806220 lBF = `1.3495` Chr`19` : `55,161,522`	0.000	1.000	0.000
rs7339483 lBF = `0.468308` Chr`19` : `24,462,409`	0.000	1.000	0.000
rs2116940 lBF = `0.15479` Chr`19` : `10,310,392`	0.000	1.000	0.000
rs2005199 lBF = `0.14949` Chr`19` : `52,033,206`	0.000	1.000	0.000
rs12611334 lBF = `0.0235773` Chr`19` : `40,229,409`	0.000	1.000	0.000
rs10405744 lBF = `0.0101824` Chr`19` : `20,059,493`	0.000	1.000	0.000
rs3764640 lBF = `-0.0132391` Chr`19` : `1,207,238`	0.000	1.000	0.000
rs3892630 lBF = `-0.0340664` Chr`19` : `33,181,484`	0.000	1.000	0.000
rs3764563 lBF = `-0.04154` Chr`19` : `15,724,203`	0.000	1.000	0.000
rs28493229 lBF = `-0.0547884` Chr`19` : `41,224,204`	0.000	1.000	0.000
rs182420 lBF = `8.27391` Chr`19` : `48,372,195`	0.000	1.000	0.000
rs2043305 lBF = `7.94393` Chr`19` : `10,728,320`	0.000	1.000	0.000
rs11881756 lBF = `5.84867` Chr`19` : `45,220,896`	0.000	1.000	0.000
rs72974768 lBF = `0.467852` Chr`19` : `3,435,545`	0.000	1.000	0.000
rs11879191 lBF = `0.330898` Chr`19` : `10,512,911`	0.000	1.000	0.000
rs35164067 lBF = `0.27608` Chr`19` : `10,525,181`	0.000	1.000	0.000
rs4147929 lBF = `0.111207` Chr`19` : `1,063,443`	0.000	1.000	0.000
rs4807927 lBF = `0.108342` Chr`19` : `1,423,199`	0.000	1.000	0.000
rs11880706 lBF = `0.0617685` Chr`19` : `6,080,482`	0.000	1.000	0.000
rs16984547 lBF = `0.0285196` Chr`19` : `53,682,042`	0.000	1.000	0.000
rs4142248 lBF = `0.0155676` Chr`19` : `44,888,276`	0.000	1.000	0.000
rs3760775 lBF = `-0.0110255` Chr`19` : `5,841,356`	0.000	1.000	0.000
rs9304861 lBF = `-0.0337126` Chr`19` : `35,271,888`	0.000	1.000	0.000
rs2053079 lBF = `-0.0638174` Chr`19` : `30,987,423`	0.000	1.000	0.000
rs891088 lBF = `-0.0961251` Chr`19` : `7,184,762`	0.000	1.000	0.000
rs405509 lBF = `9.43097` Chr`19` : `45,408,836`	0.000	1.000	0.000
rs2288904 lBF = `7.03602` Chr`19` : `10,742,170`	0.000	1.000	0.000
rs10405693 lBF = `6.62801` Chr`19` : `45,326,664`	0.000	1.000	0.000
rs11672550 lBF = `1.00427` Chr`19` : `1,937,193`	0.000	1.000	0.000
rs624899 lBF = `0.167753` Chr`19` : `11,612,498`	0.000	1.000	0.000
rs1701930 lBF = `0.0818071` Chr`19` : `51,419,546`	0.000	1.000	0.000
rs4528684 lBF = `0.0522251` Chr`19` : `14,351,574`	0.000	1.000	0.000
rs12983728 lBF = `0.0364937` Chr`19` : `58,671,267`	0.000	1.000	0.000
rs2434422 lBF = `0.0195573` Chr`19` : `52,787,471`	0.000	1.000	0.000
rs1975174 lBF = `0.015547` Chr`19` : `22,515,251`	0.000	1.000	0.000
rs7253363 lBF = `-0.00743829` Chr`19` : `11,682,495`	0.000	1.000	0.000
rs11671007 lBF = `-0.0159052` Chr`19` : `2,893,405`	0.000	1.000	0.000
rs1799969 lBF = `-0.0221941` Chr`19` : `10,394,792`	0.000	1.000	0.000
rs892073 lBF = `-0.0404383` Chr`19` : `29,912,294`	0.000	1.000	0.000
rs299175 lBF = `-0.0556343` Chr`19` : `56,313,528`	0.000	1.000	0.000
rs2965260 lBF = `-0.0627948` Chr`19` : `53,780,026`	0.000	1.000	0.000
rs7253430 lBF = `-0.101165` Chr`19` : `1,803,582`	0.000	1.000	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.000	1.000	0.000
rs10119 lBF = `49.8817` Chr`19` : `45,406,673`	0.000	1.000	0.000
rs67731056 lBF = `8.73421` Chr`19` : `7,264,549`	0.000	1.000	0.000
rs12162222 lBF = `6.89005` Chr`19` : `45,348,522`	0.000	1.000	0.000
rs6510827 lBF = `2.40129` Chr`19` : `4,830,628`	0.000	1.000	0.000
rs13343954 lBF = `1.72027` Chr`19` : `33,527,888`	0.000	1.000	0.000
rs8108269 lBF = `1.58458` Chr`19` : `46,158,513`	0.000	1.000	0.000
rs7245708 lBF = `0.373925` Chr`19` : `46,195,756`	0.000	1.000	0.000
rs12982744 lBF = `0.297028` Chr`19` : `2,177,193`	0.000	1.000	0.000
rs8113263 lBF = `0.136126` Chr`19` : `13,179,662`	0.000	1.000	0.000
rs3752246 lBF = `0.127829` Chr`19` : `1,056,492`	0.000	1.000	0.000
rs3764618 lBF = `0.106329` Chr`19` : `49,497,155`	0.000	1.000	0.000
rs3733829 lBF = `0.0670203` Chr`19` : `41,310,571`	0.000	1.000	0.000
rs7249142 lBF = `0.0442277` Chr`19` : `19,276,359`	0.000	1.000	0.000
rs1064395 lBF = `0.0337366` Chr`19` : `19,361,735`	0.000	1.000	0.000
rs76478271 lBF = `-0.00813885` Chr`19` : `41,325,199`	0.000	1.000	0.000
rs187568415 lBF = `-0.018983` Chr`19` : `11,734,626`	0.000	1.000	0.000
rs11878604 lBF = `-0.0230731` Chr`19` : `41,333,284`	0.000	1.000	0.000
rs7248888 lBF = `-0.0234267` Chr`19` : `46,974,003`	0.000	1.000	0.000
rs2288912 lBF = `-0.0276798` Chr`19` : `45,449,199`	0.000	1.000	0.000
rs4802666 lBF = `-0.0302537` Chr`19` : `50,721,074`	0.000	1.000	0.000
rs263063 lBF = `-0.0338228` Chr`19` : `5,022,604`	0.000	1.000	0.000
rs12052157 lBF = `-0.0391384` Chr`19` : `56,598,123`	0.000	1.000	0.000
rs973009 lBF = `-0.0464056` Chr`19` : `39,174,332`	0.000	1.000	0.000
rs2061333 lBF = `-0.0464539` Chr`19` : `44,614,208`	0.000	1.000	0.000
rs4803480 lBF = `-0.0591784` Chr`19` : `42,066,279`	0.000	1.000	0.000
rs2059807 lBF = `-0.0626248` Chr`19` : `7,166,109`	0.000	1.000	0.000
rs274173 lBF = `-0.0678634` Chr`19` : `56,692,443`	0.000	1.000	0.000
rs270776 lBF = `-0.0753872` Chr`19` : `55,222,807`	0.000	1.000	0.000
rs12610495 lBF = `-0.0868982` Chr`19` : `4,717,672`	0.000	1.000	0.000
rs1058205 lBF = `13.3893` Chr`19` : `51,363,398`	0.000	1.000	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.000	1.000	0.000
rs12978748 lBF = `5.98606` Chr`19` : `52,296,815`	0.000	1.000	0.000
rs10408179 lBF = `5.46633` Chr`19` : `46,157,004`	0.000	1.000	0.000
rs2241718 lBF = `5.00712` Chr`19` : `41,829,606`	0.000	1.000	0.000
rs266849 lBF = `2.0123` Chr`19` : `51,349,090`	0.000	1.000	0.000
rs12720356 lBF = `1.81492` Chr`19` : `10,469,975`	0.000	1.000	0.000
rs73510898 lBF = `0.622392` Chr`19` : `10,416,444`	0.000	1.000	0.000
rs1984450 lBF = `0.311369` Chr`19` : `53,013,799`	0.000	1.000	0.000
rs2287838 lBF = `0.24255` Chr`19` : `9,959,014`	0.000	1.000	0.000
rs3745516 lBF = `0.185966` Chr`19` : `50,926,742`	0.000	1.000	0.000
rs17657696 lBF = `0.16971` Chr`19` : `44,906,023`	0.000	1.000	0.000
rs4806073 lBF = `0.0778706` Chr`19` : `35,555,190`	0.000	1.000	0.000
rs16979306 lBF = `0.0734202` Chr`19` : `13,802,760`	0.000	1.000	0.000
rs7258177 lBF = `0.0641128` Chr`19` : `13,803,170`	0.000	1.000	0.000
rs1688043 lBF = `0.0619284` Chr`19` : `35,553,341`	0.000	1.000	0.000
rs16964543 lBF = `0.0583383` Chr`19` : `31,185,210`	0.000	1.000	0.000
rs7255045 lBF = `0.0363917` Chr`19` : `12,932,269`	0.000	1.000	0.000
rs11574583 lBF = `0.0217623` Chr`19` : `55,178,778`	0.000	1.000	0.000
rs17692896 lBF = `0.00749583` Chr`19` : `33,089,431`	0.000	1.000	0.000
rs2195987 lBF = `-0.00098138` Chr`19` : `24,149,545`	0.000	1.000	0.000
rs874628 lBF = `-0.0124927` Chr`19` : `18,304,700`	0.000	1.000	0.000
rs1654584 lBF = `-0.0255223` Chr`19` : `3,970,683`	0.000	1.000	0.000
rs7255126 lBF = `-0.0578649` Chr`19` : `56,551,608`	0.000	1.000	0.000
rs1551570 lBF = `-0.0615668` Chr`19` : `10,218,030`	0.000	1.000	0.000
rs17879437 lBF = `-0.0635192` Chr`19` : `36,642,884`	0.000	1.000	0.000
rs11673509 lBF = `-0.0641991` Chr`19` : `5,080,647`	0.000	1.000	0.000
rs11085466 lBF = `-0.0812929` Chr`19` : `21,751,811`	0.000	1.000	0.000
rs398426 lBF = `-0.102157` Chr`19` : `34,321,258`	0.000	1.000	0.000
rs2074977 lBF = `-0.10901` Chr`19` : `3,434,028`	0.000	1.000	0.000
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	1.000	0.000
rs6859 lBF = `25.5207` Chr`19` : `45,382,034`	0.000	1.000	0.000
rs167479 lBF = `18.201` Chr`19` : `11,526,765`	0.000	1.000	0.000
rs1160985 lBF = `12.3497` Chr`19` : `45,403,412`	0.000	1.000	0.000
rs6511721 lBF = `11.4118` Chr`19` : `11,206,575`	0.000	1.000	0.000
rs769450 lBF = `9.73216` Chr`19` : `45,410,444`	0.000	1.000	0.000
rs35976034 lBF = `9.67348` Chr`19` : `17,832,748`	0.000	1.000	0.000
rs2738446 lBF = `9.38276` Chr`19` : `11,227,326`	0.000	1.000	0.000
rs4247374 lBF = `8.59285` Chr`19` : `7,252,756`	0.000	1.000	0.000
rs7253117 lBF = `8.58485` Chr`19` : `17,844,894`	0.000	1.000	0.000
rs73013159 lBF = `8.54736` Chr`19` : `11,122,710`	0.000	1.000	0.000
rs4803750 lBF = `8.33822` Chr`19` : `45,247,627`	0.000	1.000	0.000
rs1531517 lBF = `7.38499` Chr`19` : `45,242,173`	0.000	1.000	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.000	1.000	0.000
rs12975033 lBF = `7.07797` Chr`19` : `49,249,443`	0.000	1.000	0.000
rs7259871 lBF = `5.60801` Chr`19` : `46,390,280`	0.000	1.000	0.000
rs2659051 lBF = `4.31235` Chr`19` : `51,345,568`	0.000	1.000	0.000
rs8111071 lBF = `3.8254` Chr`19` : `46,307,406`	0.000	1.000	0.000
rs10416218 lBF = `2.47638` Chr`19` : `33,599,127`	0.000	1.000	0.000
rs10416265 lBF = `2.36744` Chr`19` : `33,605,300`	0.000	1.000	0.000
rs2905426 lBF = `1.61666` Chr`19` : `19,478,022`	0.000	1.000	0.000
rs2304256 lBF = `1.51359` Chr`19` : `10,475,652`	0.000	1.000	0.000
rs34725611 lBF = `1.29016` Chr`19` : `10,477,067`	0.000	1.000	0.000
rs10411210 lBF = `1.24033` Chr`19` : `33,532,300`	0.000	1.000	0.000
rs2738459 lBF = `1.19855` Chr`19` : `11,238,473`	0.000	1.000	0.000
rs2967605 lBF = `0.661749` Chr`19` : `8,469,738`	0.000	1.000	0.000
rs8101143 lBF = `0.250278` Chr`19` : `21,956,136`	0.000	1.000	0.000
rs3826782 lBF = `0.2238` Chr`19` : `6,887,736`	0.000	1.000	0.000
rs2303745 lBF = `0.153752` Chr`19` : `17,420,289`	0.000	1.000	0.000
rs12979813 lBF = `0.089449` Chr`19` : `11,342,703`	0.000	1.000	0.000
rs11880198 lBF = `0.0722884` Chr`19` : `3,159,769`	0.000	1.000	0.000
rs836901 lBF = `0.0356105` Chr`19` : `20,302,394`	0.000	1.000	0.000
rs12460587 lBF = `0.0144181` Chr`19` : `52,586,919`	0.000	1.000	0.000
rs1382358 lBF = `0.010017` Chr`19` : `13,171,424`	0.000	1.000	0.000
rs72986630 lBF = `0.00911748` Chr`19` : `11,849,736`	0.000	1.000	0.000
rs7259004 lBF = `0.00656928` Chr`19` : `45,432,557`	0.000	1.000	0.000
rs10412199 lBF = `-0.00347688` Chr`19` : `3,927,771`	0.000	1.000	0.000
rs2306969 lBF = `-0.00598812` Chr`19` : `5,851,801`	0.000	1.000	0.000
rs12104221 lBF = `-0.0132858` Chr`19` : `3,797,100`	0.000	1.000	0.000
rs1860661 lBF = `-0.0163525` Chr`19` : `1,650,134`	0.000	1.000	0.000
rs4808801 lBF = `-0.0174961` Chr`19` : `18,571,141`	0.000	1.000	0.000
rs4806846 lBF = `-0.0182096` Chr`19` : `2,410,484`	0.000	1.000	0.000
rs11671104 lBF = `-0.0398445` Chr`19` : `22,794,686`	0.000	1.000	0.000
rs2233152 lBF = `-0.0399253` Chr`19` : `41,281,016`	0.000	1.000	0.000
rs3826656 lBF = `-0.0688108` Chr`19` : `51,726,613`	0.000	1.000	0.000
rs2100944 lBF = `-0.101007` Chr`19` : `8,281,635`	0.000	1.000	0.000
rs3745367 lBF = `-0.104677` Chr`19` : `7,734,511`	0.000	1.000	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.000	1.000	0.000
rs157580 lBF = `46.2551` Chr`19` : `45,395,266`	0.000	1.000	0.000
rs11668477 lBF = `39.7389` Chr`19` : `11,195,030`	0.000	1.000	0.000
rs516246 lBF = `24.8269` Chr`19` : `49,206,172`	0.000	1.000	0.000
rs73045269 lBF = `12.3061` Chr`19` : `41,825,191`	0.000	1.000	0.000
rs2637125 lBF = `12.2047` Chr`19` : `48,401,893`	0.000	1.000	0.000
rs2972516 lBF = `11.8322` Chr`19` : `48,465,312`	0.000	1.000	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.000	1.000	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.000	1.000	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.000	1.000	0.000
rs8109627 lBF = `7.31922` Chr`19` : `41,822,986`	0.000	1.000	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.000	1.000	0.000
rs2307019 lBF = `6.5201` Chr`19` : `49,244,220`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.6996

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.5583

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.5129

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3159

Cluster X0299

log Bayes Factor = 51.2133

contains 2 variants

0.0642

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7169

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7169

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.7169

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.7164

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7163

Cluster X0289

log Bayes Factor = 60.4564

contains 1 variants

0.7158

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7147

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7145

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7080

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7017

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.7015

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6974

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6928

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6872

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6848

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6686

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6580

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6551

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6427

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6412

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6322

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6313

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6257

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5966

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5955

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5795

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5772

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5691

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5443

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5340

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5263

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5154

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5149

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5143

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5096

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5046

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4913

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.4835

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4525

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4510

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4487

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4278

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3811

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3801

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3709

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3670

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3625

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3414

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3402

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3275

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3161

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3160

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3157

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3152

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3120

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3070

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2998

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2927

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2915

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2882

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2882

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2668

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.2488

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2464

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2361

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2294

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2161

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2111

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1967

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1950

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1882

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1874

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1771

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1747

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1726

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1705

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1579

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1512

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1479

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1471

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1444

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1442

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1422

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1422

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1414

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1354

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1353

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1187

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1184

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1163

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1160

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1145

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1142

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1132

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1101

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1078

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1076

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1059

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1051

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1048

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1027

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1018

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1007

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1000

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0976

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.0951

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0949

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0919

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0899

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0872

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0853

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0833

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0827

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0797

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.0776

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0707

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0705

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0690

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0668

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0644

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0596

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0582

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0569

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0540

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0523

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0502

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`)