TreeWAS – [E66] Obesity

Download association data
for this term in csv format

Share this page

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

E66

Obesity

Parent term	E65-E68 Obesity and other hyperalimentation
Nested terms	E66.0 Obesity due to excess calories E66.1 Drug-induced obesity E66.2 Extreme obesity with alveolar hypoventilation E66.8 Other obesity E66.9 Obesity, unspecified

What are diagnostic terms?

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
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	1.000	0.000	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	1.000	0.000	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	1.000	0.000	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	1.000	0.000	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	1.000	0.000	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	1.000	0.000	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	1.000	0.000	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	1.000	0.000	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	1.000	0.000	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	1.000	0.000	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	1.000	0.000	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	1.000	0.000	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	1.000	0.000	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	1.000	0.000	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	1.000	0.000	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	1.000	0.000	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	1.000	0.000	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	1.000	0.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	1.000	0.000	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	1.000	0.000	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	1.000	0.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	0.000	1.000
rs10871777 lBF = `10.7023` Chr`18` : `57,851,763`	1.000	0.000	0.000
rs11152213 lBF = `10.5482` Chr`18` : `57,852,948`	1.000	0.000	0.000
rs571312 lBF = `10.5456` Chr`18` : `57,839,769`	1.000	0.000	0.000
rs6567160 lBF = `10.4157` Chr`18` : `57,829,135`	1.000	0.000	0.000
rs538656 lBF = `10.3603` Chr`18` : `57,850,422`	1.000	0.000	0.000
rs12967135 lBF = `10.2859` Chr`18` : `57,849,023`	1.000	0.000	0.000
rs17782313 lBF = `9.47631` Chr`18` : `57,851,097`	1.000	0.000	0.000
rs12970134 lBF = `8.45951` Chr`18` : `57,884,750`	1.000	0.000	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	1.000	0.000	0.000
rs476828 lBF = `10.3029` Chr`18` : `57,852,587`	1.000	0.000	0.000
rs663129 lBF = `10.1168` Chr`18` : `57,838,401`	1.000	0.000	0.000
rs12955983 lBF = `7.91277` Chr`18` : `57,872,989`	1.000	0.000	0.000
rs8089364 lBF = `7.59758` Chr`18` : `57,858,829`	1.000	0.000	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	1.000	0.000	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.000	1.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	1.000	0.000	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	1.000	0.000	0.000
rs13021737 lBF = `8.48861` Chr`2` : `632,348`	1.000	0.000	0.000
rs6755502 lBF = `8.44259` Chr`2` : `635,721`	1.000	0.000	0.000
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.000	0.000	1.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	1.000	0.000	0.000
rs4854349 lBF = `8.30456` Chr`2` : `647,861`	1.000	0.000	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	1.000	0.000	0.000
rs10190052 lBF = `8.27588` Chr`2` : `646,674`	1.000	0.000	0.000
rs10189761 lBF = `8.27588` Chr`2` : `646,364`	1.000	0.000	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	1.000	0.000	0.000
rs13393304 lBF = `8.54087` Chr`2` : `637,830`	0.000	0.000	1.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	1.000	0.000	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	1.000	0.000	0.000
rs6548238 lBF = `7.38658` Chr`2` : `634,905`	0.000	0.000	1.000
rs12463617 lBF = `7.21962` Chr`2` : `629,244`	1.000	0.000	0.000
rs7561317 lBF = `7.75616` Chr`2` : `644,953`	0.000	0.000	1.000
rs11127485 lBF = `6.96216` Chr`2` : `632,028`	0.000	0.000	1.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	1.000	0.000	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	1.000	0.000	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	1.000	0.000	0.000
rs2596551 lBF = `27.6033` Chr`6` : `31,332,239`	0.000	0.001	0.999
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.999	0.001	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.999	0.001	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.999	0.001	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.999	0.001	0.000
rs1477196 lBF = `7.90626` Chr`16` : `53,808,258`	0.000	0.001	0.999
rs6711012 lBF = `7.78343` Chr`2` : `624,034`	0.999	0.001	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.999	0.001	0.000
rs2903492 lBF = `7.63293` Chr`2` : `624,678`	0.999	0.001	0.000
rs939583 lBF = `7.63293` Chr`2` : `622,531`	0.999	0.001	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.999	0.001	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.999	0.001	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.999	0.001	0.000
rs9266772 lBF = `30.1702` Chr`6` : `31,352,113`	0.000	0.001	0.999
rs2867125 lBF = `7.17412` Chr`2` : `622,827`	0.000	0.001	0.999
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.999	0.001	0.000
rs2947411 lBF = `7.37691` Chr`2` : `614,168`	0.000	0.001	0.999
rs489693 lBF = `3.18069` Chr`18` : `57,882,787`	0.998	0.002	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.998	0.002	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.998	0.002	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.998	0.002	0.000
rs7240566 lBF = `7.13612` Chr`18` : `57,744,189`	0.997	0.003	0.000
rs17700144 lBF = `7.11232` Chr`18` : `57,811,982`	0.997	0.003	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.997	0.003	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.997	0.003	0.000
rs9266258 lBF = `29.6278` Chr`6` : `31,325,912`	0.000	0.003	0.997
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.996	0.004	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.996	0.004	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.995	0.005	0.000
rs12957347 lBF = `6.54836` Chr`18` : `57,751,014`	0.995	0.005	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.995	0.005	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.994	0.006	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.994	0.006	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.994	0.006	0.000
rs543874 lBF = `2.83723` Chr`1` : `177,889,480`	0.994	0.006	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.994	0.006	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.994	0.006	0.000
rs36030660 lBF = `5.23833` Chr`18` : `57,735,945`	0.993	0.007	0.000
Affx-28452186 lBF = `28.6349` Chr`6` : `31,321,882`	0.000	0.007	0.993
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.993	0.007	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.993	0.007	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.992	0.008	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.992	0.008	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.991	0.009	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.991	0.009	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.991	0.009	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.990	0.010	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.990	0.010	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.990	0.010	0.000
rs2523536 lBF = `10.2024` Chr`6` : `31,336,000`	0.000	0.010	0.990
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.989	0.011	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.989	0.011	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.989	0.011	0.000
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.989	0.011	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.988	0.012	0.000
rs10913469 lBF = `2.18908` Chr`1` : `177,913,519`	0.988	0.012	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.988	0.012	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.988	0.012	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.987	0.013	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.987	0.013	0.000
rs2523547 lBF = `9.408` Chr`6` : `31,350,154`	0.000	0.013	0.987
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.987	0.013	0.000
rs16899524 lBF = `9.04837` Chr`6` : `31,362,310`	0.000	0.013	0.987
rs2596574 lBF = `9.8013` Chr`6` : `31,334,174`	0.000	0.014	0.986
rs204896 lBF = `18.0696` Chr`6` : `32,064,098`	0.000	0.014	0.986
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.986	0.014	0.000
rs12333245 lBF = `16.0821` Chr`6` : `32,019,769`	0.000	0.014	0.986
rs2523632 lBF = `9.64388` Chr`6` : `31,345,844`	0.000	0.014	0.986
rs2523626 lBF = `9.20658` Chr`6` : `31,346,490`	0.000	0.014	0.986
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.986	0.014	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.985	0.015	0.000
rs633715 lBF = `2.41811` Chr`1` : `177,852,580`	0.985	0.015	0.000
rs204900 lBF = `16.459` Chr`6` : `32,056,580`	0.000	0.015	0.985
rs2507980 lBF = `9.70002` Chr`6` : `31,347,877`	0.000	0.015	0.985
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.985	0.015	0.000
rs2523639 lBF = `9.40579` Chr`6` : `31,344,098`	0.000	0.016	0.984
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.984	0.016	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.984	0.016	0.000
rs2857281 lBF = `9.00838` Chr`6` : `31,374,262`	0.000	0.017	0.983
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.983	0.017	0.000
rs11601083 lBF = `16.3801` Chr`11` : `47,634,413`	0.983	0.017	0.000
rs2523476 lBF = `8.49322` Chr`6` : `31,361,424`	0.000	0.017	0.983
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.982	0.018	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.982	0.018	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.982	0.018	0.000
rs2844523 lBF = `7.65786` Chr`6` : `31,368,588`	0.000	0.018	0.982
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.982	0.018	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.982	0.018	0.000
rs169496 lBF = `15.2802` Chr`6` : `32,052,983`	0.000	0.019	0.981
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.981	0.019	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.981	0.019	0.000
rs11755266 lBF = `10.3238` Chr`6` : `35,162,141`	0.981	0.019	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.980	0.020	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.980	0.020	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.979	0.021	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.979	0.021	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.978	0.022	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.978	0.022	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.978	0.022	0.000
rs204877 lBF = `16.6075` Chr`6` : `32,047,436`	0.000	0.022	0.978
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.978	0.022	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.977	0.023	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.976	0.024	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.976	0.024	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.975	0.025	0.000
rs2269429 lBF = `15.4708` Chr`6` : `32,029,183`	0.000	0.026	0.974
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.974	0.026	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.974	0.026	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.974	0.026	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.974	0.026	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.973	0.027	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.973	0.027	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.972	0.028	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.972	0.028	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.972	0.028	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.972	0.028	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.972	0.028	0.000
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.972	0.028	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.971	0.029	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.971	0.029	0.000
rs204899 lBF = `16.4982` Chr`6` : `32,057,627`	0.000	0.030	0.970
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.970	0.030	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.970	0.030	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.970	0.030	0.000
rs114946066 lBF = `5.04818` Chr`3` : `185,653,097`	0.970	0.030	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.969	0.031	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.969	0.031	0.000
rs516636 lBF = `1.85041` Chr`1` : `177,855,517`	0.968	0.032	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.968	0.032	0.000
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.968	0.032	0.000
rs987237 lBF = `3.90668` Chr`6` : `50,803,050`	0.968	0.032	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.968	0.032	0.000
Affx-13934460 lBF = `8.63277` Chr`17` : `44,333,890`	0.968	0.032	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.968	0.032	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.966	0.034	0.000
rs429608 lBF = `12.1711` Chr`6` : `31,930,462`	0.000	0.035	0.965
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.965	0.035	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.965	0.035	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.964	0.036	0.000
rs574367 lBF = `1.81025` Chr`1` : `177,873,210`	0.964	0.036	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.964	0.036	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.964	0.036	0.000
rs2523477 lBF = `6.40206` Chr`6` : `31,360,389`	0.000	0.037	0.963
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.963	0.037	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.963	0.037	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.962	0.038	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.962	0.038	0.000
rs111822562 lBF = `16.5225` Chr`6` : `37,064,250`	0.962	0.038	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.962	0.038	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.961	0.039	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.961	0.039	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.000	0.040	0.960
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.959	0.041	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.959	0.041	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.959	0.041	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.959	0.041	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.958	0.042	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.956	0.044	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.956	0.044	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.956	0.044	0.000
rs7234864 lBF = `4.40321` Chr`18` : `57,734,857`	0.956	0.044	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.955	0.045	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.954	0.046	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.954	0.046	0.000
rs2853926 lBF = `83.1612` Chr`6` : `31,263,051`	0.000	0.046	0.954
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.953	0.047	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.952	0.048	0.000
rs2516518 lBF = `13.8223` Chr`6` : `31,435,119`	0.000	0.048	0.952
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.048	0.952
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.048	0.952
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.952	0.048	0.000
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.952	0.048	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.951	0.049	0.000
rs117291711 lBF = `13.4753` Chr`6` : `77,342,861`	0.951	0.049	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.949	0.051	0.000
rs73137637 lBF = `6.05154` Chr`3` : `85,006,865`	0.949	0.051	0.000
rs11998678 lBF = `9.51692` Chr`8` : `11,830,150`	0.949	0.051	0.000
rs411337 lBF = `9.11326` Chr`6` : `32,077,380`	0.000	0.052	0.948
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.947	0.053	0.000
rs73125111 lBF = `7.02008` Chr`3` : `85,110,971`	0.947	0.053	0.000
rs116155186 lBF = `6.15229` Chr`3` : `85,368,819`	0.947	0.053	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.946	0.054	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.945	0.055	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.944	0.056	0.000
rs2207139 lBF = `2.26807` Chr`6` : `50,845,490`	0.944	0.056	0.000
rs2206277 lBF = `3.41596` Chr`6` : `50,798,526`	0.944	0.056	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.943	0.057	0.000
rs2358994 lBF = `56.0385` Chr`1` : `114,429,461`	0.943	0.057	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.942	0.058	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.942	0.058	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.942	0.058	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.942	0.058	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.941	0.059	0.000
rs454212 lBF = `40.1069` Chr`6` : `31,934,372`	0.000	0.059	0.941
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.941	0.059	0.000
rs734597 lBF = `2.38668` Chr`6` : `50,836,279`	0.941	0.059	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.941	0.059	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.940	0.060	0.000
rs9469084 lBF = `9.39069` Chr`6` : `32,080,383`	0.000	0.060	0.940
rs7907491 lBF = `9.55748` Chr`10` : `21,630,589`	0.940	0.060	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.939	0.061	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.939	0.061	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.939	0.061	0.000
rs204888 lBF = `8.62624` Chr`6` : `32,089,142`	0.000	0.061	0.939
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.939	0.061	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.939	0.061	0.000
Affx-13930187 lBF = `8.42486` Chr`17` : `44,098,862`	0.939	0.061	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.938	0.062	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.938	0.062	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.937	0.063	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.937	0.063	0.000
Affx-13930370 lBF = `8.99533` Chr`17` : `44,108,100`	0.936	0.064	0.000
Affx-13928154 lBF = `9.24312` Chr`17` : `43,978,320`	0.936	0.064	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.935	0.065	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.935	0.065	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.000	0.066	0.934
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.933	0.067	0.000
rs78172408 lBF = `11.9224` Chr`7` : `47,619,869`	0.933	0.067	0.000
rs541862 lBF = `26.9098` Chr`6` : `31,916,951`	0.000	0.068	0.932
rs17577094 lBF = `8.86248` Chr`17` : `44,187,492`	0.932	0.068	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.932	0.068	0.000
rs444921 lBF = `40.0094` Chr`6` : `31,932,177`	0.000	0.069	0.931
rs2596501 lBF = `101.935` Chr`6` : `31,321,211`	0.000	0.070	0.930
rs406936 lBF = `39.5422` Chr`6` : `31,933,161`	0.000	0.071	0.929
rs8070723 lBF = `9.45423` Chr`17` : `44,081,064`	0.929	0.071	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.929	0.071	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.928	0.072	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.928	0.072	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.928	0.072	0.000
rs641153 lBF = `26.8078` Chr`6` : `31,914,180`	0.000	0.072	0.928
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.928	0.072	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.926	0.074	0.000
rs140096829 lBF = `15.0672` Chr`6` : `32,003,934`	0.000	0.074	0.926
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.926	0.074	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.925	0.075	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.925	0.075	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.925	0.075	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.924	0.076	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.924	0.076	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.923	0.077	0.000
rs2523545 lBF = `78.3003` Chr`6` : `31,333,499`	0.000	0.077	0.923
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.922	0.078	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.921	0.079	0.000
rs73130739 lBF = `7.84824` Chr`3` : `85,287,296`	0.921	0.079	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.921	0.079	0.000
rs387608 lBF = `39.1123` Chr`6` : `31,941,557`	0.000	0.080	0.920
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.920	0.080	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.919	0.081	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.919	0.081	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.919	0.081	0.000
rs74926649 lBF = `20.7834` Chr`10` : `106,277,435`	0.918	0.082	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.918	0.082	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.917	0.083	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.917	0.083	0.000
rs1981997 lBF = `8.87251` Chr`17` : `44,056,767`	0.916	0.084	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.916	0.084	0.000
rs72730448 lBF = `14.5786` Chr`1` : `93,533,524`	0.915	0.085	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.915	0.085	0.000
rs183671 lBF = `9.74573` Chr`5` : `33,964,210`	0.915	0.085	0.000
Affx-13931220 lBF = `8.69044` Chr`17` : `44,155,707`	0.915	0.085	0.000
rs1800437 lBF = `3.54897` Chr`19` : `46,181,392`	0.000	0.085	0.915
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.914	0.086	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.914	0.086	0.000
rs114853496 lBF = `13.3768` Chr`5` : `133,753,344`	0.914	0.086	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.914	0.086	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.912	0.088	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.912	0.088	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.911	0.089	0.000
rs522162 lBF = `27.0343` Chr`6` : `31,919,917`	0.000	0.089	0.911
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.911	0.089	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.911	0.089	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.911	0.089	0.000
rs7534485 lBF = `1.14654` Chr`1` : `168,720,621`	0.000	0.089	0.911
rs11552449 lBF = `58.9658` Chr`1` : `114,448,389`	0.910	0.090	0.000
rs550513 lBF = `27.78` Chr`6` : `31,920,687`	0.000	0.090	0.910
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.910	0.090	0.000
rs4476815 lBF = `1.44419` Chr`6` : `26,260,070`	0.909	0.091	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.909	0.091	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.909	0.091	0.000
rs17791975 lBF = `7.13706` Chr`3` : `85,118,035`	0.908	0.092	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.908	0.092	0.000
Affx-13929593 lBF = `8.74793` Chr`17` : `44,061,278`	0.908	0.092	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.907	0.093	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.907	0.093	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.906	0.094	0.000
Affx-13930010 lBF = `8.78176` Chr`17` : `44,088,926`	0.906	0.094	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.904	0.096	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.904	0.096	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.903	0.097	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.903	0.097	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.902	0.098	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.902	0.098	0.000
rs112242463 lBF = `13.4022` Chr`2` : `45,808,479`	0.902	0.098	0.000
rs760070 lBF = `27.3591` Chr`6` : `31,919,956`	0.000	0.099	0.901
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.901	0.099	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.901	0.099	0.000
rs10455872 lBF = `427.757` Chr`6` : `161,010,118`	0.901	0.099	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.901	0.099	0.000
Affx-13930382 lBF = `8.91846` Chr`17` : `44,108,906`	0.901	0.099	0.000
Affx-13924674 lBF = `9.55855` Chr`17` : `43,763,202`	0.900	0.100	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.899	0.101	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.899	0.101	0.000
rs10423928 lBF = `3.04455` Chr`19` : `46,182,304`	0.000	0.101	0.899
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.898	0.102	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.898	0.102	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.898	0.102	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.898	0.102	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.897	0.103	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.897	0.103	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.897	0.103	0.000
rs438999 lBF = `25.9671` Chr`6` : `31,928,306`	0.000	0.103	0.897
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.897	0.103	0.000
rs114713670 lBF = `13.9187` Chr`5` : `20,300,604`	0.896	0.104	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.896	0.104	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.896	0.104	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.895	0.105	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.895	0.105	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.895	0.105	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.894	0.106	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.894	0.106	0.000
Affx-13927473 lBF = `8.40304` Chr`17` : `43,935,888`	0.894	0.106	0.000
rs389512 lBF = `38.7971` Chr`6` : `31,947,594`	0.000	0.107	0.893
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.893	0.107	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.893	0.107	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.892	0.108	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.892	0.108	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.891	0.109	0.000
Affx-13930107 lBF = `8.75309` Chr`17` : `44,093,319`	0.889	0.111	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.889	0.111	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.888	0.112	0.000
Affx-13928074 lBF = `8.54366` Chr`17` : `43,972,581`	0.888	0.112	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.888	0.112	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.888	0.112	0.000
rs55730499 lBF = `430.193` Chr`6` : `161,005,610`	0.886	0.114	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.886	0.114	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.886	0.114	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.886	0.114	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.885	0.115	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.885	0.115	0.000
rs10445337 lBF = `7.56478` Chr`17` : `44,067,400`	0.883	0.117	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.883	0.117	0.000
rs9263740 lBF = `20.6549` Chr`6` : `31,111,400`	0.000	0.117	0.883
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.882	0.118	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.882	0.118	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.882	0.118	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.881	0.119	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.881	0.119	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.881	0.119	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.880	0.120	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.880	0.120	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.880	0.120	0.000
Affx-13930495 lBF = `8.40782` Chr`17` : `44,117,119`	0.879	0.121	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.879	0.121	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.879	0.121	0.000
rs1864325 lBF = `8.6837` Chr`17` : `43,977,827`	0.878	0.122	0.000
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.877	0.123	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.877	0.123	0.000
Affx-13929317 lBF = `7.74855` Chr`17` : `44,043,378`	0.877	0.123	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.877	0.123	0.000
rs17649553 lBF = `8.82774` Chr`17` : `43,994,648`	0.877	0.123	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.877	0.123	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.876	0.124	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.876	0.124	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.875	0.125	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.875	0.125	0.000
rs6455 lBF = `1.58465` Chr`6` : `32,006,896`	0.000	0.126	0.874
rs62062784 lBF = `8.9602` Chr`17` : `44,024,552`	0.874	0.126	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.874	0.126	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.874	0.126	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.874	0.126	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.873	0.127	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.873	0.127	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.873	0.127	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.873	0.127	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.872	0.128	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.871	0.128	0.000
rs653414 lBF = `25.8545` Chr`6` : `31,907,168`	0.000	0.129	0.871
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.871	0.129	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.871	0.129	0.000
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.871	0.129	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.870	0.130	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.870	0.130	0.000
rs1042663 lBF = `26.5856` Chr`6` : `31,905,130`	0.000	0.131	0.869
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.868	0.132	0.000
rs41288889 lBF = `23.175` Chr`6` : `32,712,009`	0.000	0.132	0.868
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.867	0.133	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.867	0.133	0.000
rs77501456 lBF = `260.985` Chr`6` : `32,523,627`	0.000	0.134	0.866
rs10429371 lBF = `1.16029` Chr`8` : `89,993,488`	0.866	0.134	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.866	0.134	0.000
rs13208583 lBF = `6.51377` Chr`6` : `32,800,871`	0.000	0.136	0.864
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.864	0.136	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.864	0.136	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.864	0.136	0.000
rs1230666 lBF = `94.679` Chr`1` : `114,173,410`	0.000	0.137	0.863
Affx-13929818 lBF = `8.38135` Chr`17` : `44,076,665`	0.863	0.137	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.862	0.138	0.000
Affx-4564118 lBF = `58.8162` Chr`1` : `114,448,389`	0.861	0.139	0.000
Affx-13928230 lBF = `8.42537` Chr`17` : `43,982,159`	0.861	0.139	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.860	0.140	0.000
rs62063786 lBF = `8.79618` Chr`17` : `44,061,023`	0.860	0.140	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.860	0.140	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.859	0.141	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.859	0.141	0.000
rs9332958 lBF = `5.25634` Chr`12` : `16,519,263`	0.858	0.142	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.857	0.143	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.856	0.144	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.855	0.145	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.855	0.145	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.855	0.145	0.000
rs199515 lBF = `3.83286` Chr`17` : `44,856,641`	0.000	0.146	0.854
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.853	0.147	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.853	0.147	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.853	0.147	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.852	0.148	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.852	0.148	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.851	0.149	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.851	0.149	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.851	0.149	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.850	0.150	0.000
rs9469079 lBF = `16.9205` Chr`6` : `32,032,421`	0.000	0.150	0.850
rs544167 lBF = `19.5644` Chr`6` : `31,890,158`	0.000	0.150	0.850
rs114067101 lBF = `8.53644` Chr`6` : `32,457,960`	0.003	0.151	0.846
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.152	0.847
rs117124364 lBF = `1.90172` Chr`21` : `34,369,761`	0.847	0.153	0.000
rs12663317 lBF = `20.4251` Chr`6` : `32,742,827`	0.000	0.153	0.847
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.846	0.154	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.844	0.156	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.842	0.158	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.842	0.158	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.842	0.158	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.842	0.158	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.840	0.160	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.840	0.160	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.840	0.160	0.000
rs61819372 lBF = `13.7361` Chr`1` : `114,072,110`	0.840	0.160	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.839	0.161	0.000
rs9923231 lBF = `1.62789` Chr`16` : `31,107,689`	0.000	0.161	0.839
Affx-13929237 lBF = `9.55366` Chr`17` : `44,038,785`	0.839	0.161	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.838	0.162	0.000
rs2421847 lBF = `1.0897` Chr`1` : `171,557,600`	0.000	0.163	0.837
rs12528886 lBF = `2.11978` Chr`6` : `130,453,882`	0.837	0.163	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 X0175

log Bayes Factor = 45.9153

contains 4 variants

1.0000

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4586

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2625

Cluster X0323

log Bayes Factor = 180.399

contains 5 variants

0.1960

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

1.0000

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

1.0000

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

1.0000

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9998

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.9998

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9989

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9988

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9987

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9983

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9974

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9961

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.9948

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9945

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9938

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9936

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9900

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9865

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9840

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9788

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9658

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9565

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9540

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9504

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9422

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9316

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9213

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9197

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9137

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9105

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9038

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9021

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8998

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8923

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8915

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8845

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8822

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8605

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8500

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8225

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8165

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8079

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8045

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7951

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7375

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7351

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7323

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7157

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.7036

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6894

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.6889

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6538

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6404

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6365

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6361

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6353

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6106

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6092

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5893

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5815

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5677

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5408

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5366

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5205

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4738

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4729

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4660

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4505

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4497

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4494

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4337

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4287

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4232

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4207

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4198

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4125

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4124

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4118

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4048

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4022

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3989

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3933

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3927

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3849

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3832

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3821

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3781

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3664

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3604

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3532

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3465

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3446

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3390

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3377

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3241

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2940

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2939

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2901

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2900

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2880

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2828

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2804

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2711

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2665

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2660

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2647

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2627

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2627

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2607

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2543

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2515

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2426

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2366

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2346

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2340

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2274

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2231

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2230

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2196

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2177

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2163

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2110

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2095

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2032

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2007

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2005

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2003

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1996

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1893

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1870

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1865

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1854

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1832

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1787

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1775

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1772

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1759

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1720

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1682

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1671

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1649

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1640

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1630

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.1624

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1624

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1621

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1618

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1602

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1587

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1535

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1534

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1532

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1502

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1491

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1480

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1471

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1460

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1379

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1361

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1353

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1321

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1300

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1300

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1289

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1288

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1284

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1249

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1247

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1239

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1225

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1204

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1197

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1182

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1158

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1146

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1139

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1135

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1105

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1092

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1085

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1083

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1082

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1067

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1061

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1036

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1009

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1007

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0970

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0932

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.0916

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0881

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0865

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0848

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0835

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0813

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0809

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.0792

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0783

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0776

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0770

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0715

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0662

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0575

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0558

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0558

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)

Hospitalization Episode Statistics (`HES`)