TreeWAS – [L02] Cutaneous abscess, furuncle and carbuncle

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs7773694 lBF = `58.2027` Chr`6` : `32,706,334`	0.997	0.003	0.000
rs7773068 lBF = `57.214` Chr`6` : `32,706,234`	0.996	0.004	0.000
rs9276291 lBF = `58.1117` Chr`6` : `32,702,813`	0.994	0.006	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.993	0.007	0.000
rs9275749 lBF = `56.2717` Chr`6` : `32,689,056`	0.993	0.007	0.000
rs9275857 lBF = `57.3` Chr`6` : `32,691,308`	0.993	0.007	0.000
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.000	0.008	0.992
rs2859102 lBF = `56.9757` Chr`6` : `32,699,054`	0.986	0.014	0.000
rs5018343 lBF = `58.9799` Chr`6` : `32,710,119`	0.985	0.015	0.000
rs9275772 lBF = `57.4393` Chr`6` : `32,689,503`	0.984	0.016	0.000
rs2073044 lBF = `297.22` Chr`6` : `32,338,986`	0.983	0.017	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.983	0.017	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.982	0.018	0.000
rs9268362 lBF = `364.835` Chr`6` : `32,333,341`	0.982	0.018	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.982	0.018	0.000
rs6910071 lBF = `365.296` Chr`6` : `32,282,854`	0.982	0.018	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.980	0.020	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.979	0.021	0.000
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.021	0.979
rs41291798 lBF = `46.7943` Chr`6` : `32,431,558`	0.000	0.021	0.979
rs9275994 lBF = `56.7024` Chr`6` : `32,694,296`	0.979	0.021	0.000
rs9275614 lBF = `213.979` Chr`6` : `32,684,257`	0.979	0.021	0.000
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.022	0.978
rs28361060 lBF = `366.643` Chr`6` : `32,303,848`	0.978	0.022	0.000
rs9275700 lBF = `56.5748` Chr`6` : `32,688,055`	0.978	0.022	0.000
rs3129736 lBF = `57.9534` Chr`6` : `32,685,953`	0.977	0.023	0.000
rs3916765 lBF = `217.868` Chr`6` : `32,685,550`	0.976	0.024	0.000
rs9275595 lBF = `259.515` Chr`6` : `32,681,355`	0.976	0.024	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.976	0.024	0.000
rs9268145 lBF = `359.052` Chr`6` : `32,257,284`	0.976	0.024	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.974	0.026	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.973	0.027	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.972	0.028	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.972	0.028	0.000
rs2596460 lBF = `22.7176` Chr`6` : `31,417,510`	0.000	0.028	0.972
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.028	0.972
rs41270488 lBF = `32.2739` Chr`6` : `32,407,906`	0.000	0.029	0.971
rs9275765 lBF = `56.5539` Chr`6` : `32,689,324`	0.970	0.030	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.970	0.030	0.000
rs13194491 lBF = `199.599` Chr`6` : `27,037,080`	0.970	0.030	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.970	0.030	0.000
rs2596480 lBF = `21.5933` Chr`6` : `31,425,985`	0.000	0.031	0.969
rs62477606 lBF = `17.4246` Chr`7` : `75,352,205`	0.968	0.032	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.968	0.032	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.967	0.033	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.033	0.967
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.967	0.033	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.033	0.967
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.966	0.034	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.965	0.035	0.000
rs2523536 lBF = `10.2024` Chr`6` : `31,336,000`	0.000	0.036	0.964
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.964	0.036	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.964	0.036	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.964	0.036	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.963	0.037	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.963	0.037	0.000
rs4410767 lBF = `309.439` Chr`6` : `32,448,129`	0.962	0.038	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.962	0.038	0.000
rs12195582 lBF = `218.62` Chr`6` : `32,444,544`	0.961	0.039	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.960	0.040	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.960	0.040	0.000
rs2596574 lBF = `9.8013` Chr`6` : `31,334,174`	0.000	0.040	0.960
rs2523632 lBF = `9.64388` Chr`6` : `31,345,844`	0.000	0.041	0.959
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.958	0.042	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.957	0.043	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.957	0.043	0.000
rs2523626 lBF = `9.20658` Chr`6` : `31,346,490`	0.000	0.043	0.957
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.956	0.044	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.956	0.044	0.000
rs2523547 lBF = `9.408` Chr`6` : `31,350,154`	0.000	0.044	0.956
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.955	0.045	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.954	0.046	0.000
rs2523476 lBF = `8.49322` Chr`6` : `31,361,424`	0.000	0.046	0.954
rs114355928 lBF = `63.2185` Chr`6` : `32,265,881`	0.953	0.047	0.000
rs2507980 lBF = `9.70002` Chr`6` : `31,347,877`	0.000	0.047	0.953
rs7771946 lBF = `56.8223` Chr`6` : `32,698,800`	0.952	0.048	0.000
rs3763317 lBF = `368.644` Chr`6` : `32,376,788`	0.952	0.048	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.952	0.048	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.951	0.049	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.951	0.049	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.949	0.051	0.000
rs5020946 lBF = `305.522` Chr`6` : `32,450,089`	0.949	0.051	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.949	0.051	0.000
rs6705628 lBF = `4.01162` Chr`2` : `74,208,362`	0.949	0.051	0.000
rs9275599 lBF = `314.243` Chr`6` : `32,682,429`	0.949	0.051	0.000
rs2523639 lBF = `9.40579` Chr`6` : `31,344,098`	0.000	0.051	0.949
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.948	0.052	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.947	0.053	0.000
rs4148876 lBF = `32.3961` Chr`6` : `32,796,793`	0.946	0.054	0.000
Affx-28467842 lBF = `11.5623` Chr`6` : `32,108,362`	0.000	0.055	0.945
rs6916779 lBF = `192.086` Chr`6` : `32,684,317`	0.945	0.055	0.000
rs16899524 lBF = `9.04837` Chr`6` : `31,362,310`	0.000	0.056	0.944
rs9275555 lBF = `255.458` Chr`6` : `32,677,088`	0.943	0.057	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.942	0.058	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.941	0.059	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.940	0.060	0.000
rs28397307 lBF = `14.0816` Chr`6` : `31,233,651`	0.000	0.060	0.940
rs2267644 lBF = `19.8415` Chr`6` : `32,192,560`	0.940	0.060	0.000
rs5029394 lBF = `57.4101` Chr`6` : `32,695,082`	0.939	0.061	0.000
rs204987 lBF = `14.6112` Chr`6` : `32,168,932`	0.000	0.061	0.939
rs28367569 lBF = `13.7014` Chr`6` : `31,236,102`	0.000	0.062	0.938
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.938	0.062	0.000
rs115631386 lBF = `14.487` Chr`5` : `2,714,838`	0.938	0.062	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.938	0.062	0.000
rs924633 lBF = `6.15792` Chr`5` : `13,859,279`	0.938	0.062	0.000
rs28397309 lBF = `14.234` Chr`6` : `31,234,438`	0.000	0.063	0.937
rs9268839 lBF = `309.386` Chr`6` : `32,428,772`	0.937	0.063	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.937	0.063	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.935	0.065	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.935	0.065	0.000
rs17198455 lBF = `14.304` Chr`6` : `31,229,896`	0.000	0.065	0.935
rs114472942 lBF = `13.844` Chr`6` : `31,236,289`	0.000	0.065	0.935
rs2857281 lBF = `9.00838` Chr`6` : `31,374,262`	0.000	0.066	0.934
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.933	0.067	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.932	0.068	0.000
rs28367687 lBF = `10.6064` Chr`6` : `31,275,211`	0.000	0.068	0.932
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.931	0.069	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.930	0.070	0.000
rs204892 lBF = `11.1507` Chr`6` : `32,097,891`	0.000	0.070	0.930
rs7747738 lBF = `14.0303` Chr`6` : `31,230,924`	0.000	0.070	0.930
Affx-28502500 lBF = `331.394` Chr`6` : `32,682,137`	0.930	0.070	0.000
rs12194148 lBF = `308.912` Chr`6` : `32,444,198`	0.930	0.070	0.000
rs9378212 lBF = `308.89` Chr`6` : `32,445,691`	0.930	0.070	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.930	0.070	0.000
rs17879162 lBF = `12.8304` Chr`6` : `31,237,257`	0.000	0.071	0.929
rs10276485 lBF = `6.5603` Chr`7` : `21,714,733`	0.929	0.071	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.928	0.072	0.000
rs3176007 lBF = `13.5999` Chr`6` : `31,236,845`	0.000	0.073	0.927
rs6913377 lBF = `13.6987` Chr`6` : `31,243,495`	0.000	0.073	0.927
rs2844523 lBF = `7.65786` Chr`6` : `31,368,588`	0.000	0.074	0.926
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.926	0.074	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.925	0.075	0.000
rs192884195 lBF = `16.079` Chr`10` : `28,007,368`	0.925	0.075	0.000
rs28367590 lBF = `12.8821` Chr`6` : `31,251,057`	0.000	0.076	0.924
rs113647600 lBF = `93.0002` Chr`6` : `32,553,626`	0.923	0.077	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.923	0.077	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.923	0.077	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.923	0.077	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.923	0.077	0.000
rs17884390 lBF = `13.3379` Chr`6` : `31,238,495`	0.000	0.078	0.922
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.922	0.078	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.920	0.080	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.920	0.080	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.919	0.081	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.919	0.081	0.000
rs74504779 lBF = `13.5603` Chr`6` : `25,399,561`	0.919	0.081	0.000
rs114438786 lBF = `21.686` Chr`6` : `32,105,583`	0.918	0.082	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.917	0.083	0.000
rs114542476 lBF = `11.7358` Chr`6` : `31,182,833`	0.000	0.083	0.917
rs28367594 lBF = `12.4581` Chr`6` : `31,258,141`	0.000	0.084	0.916
rs7275212 lBF = `2.94756` Chr`21` : `39,852,551`	0.916	0.084	0.000
rs28367592 lBF = `12.7845` Chr`6` : `31,253,716`	0.000	0.084	0.916
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.916	0.084	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.913	0.087	0.000
rs34250758 lBF = `518.249` Chr`6` : `32,607,376`	0.913	0.087	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.912	0.088	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.912	0.088	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.912	0.088	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.911	0.089	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.911	0.089	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.910	0.090	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.909	0.091	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.907	0.093	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.906	0.094	0.000
rs28397290 lBF = `11.5241` Chr`6` : `31,197,707`	0.000	0.094	0.906
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.906	0.094	0.000
rs9271588 lBF = `289.695` Chr`6` : `32,590,953`	0.000	0.095	0.905
rs9275580 lBF = `252.588` Chr`6` : `32,679,462`	0.904	0.096	0.000
rs2524277 lBF = `19.2656` Chr`6` : `31,407,579`	0.000	0.097	0.903
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.902	0.098	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.901	0.099	0.000
rs56536369 lBF = `52.4476` Chr`6` : `32,726,788`	0.000	0.099	0.901
rs28367598 lBF = `11.2039` Chr`6` : `31,261,691`	0.000	0.101	0.899
rs12699279 lBF = `5.07422` Chr`7` : `11,886,719`	0.899	0.101	0.000
rs386996 lBF = `15.6904` Chr`6` : `32,123,345`	0.000	0.102	0.898
rs28367596 lBF = `11.9036` Chr`6` : `31,259,446`	0.000	0.103	0.897
rs6931277 lBF = `515.908` Chr`6` : `32,583,357`	0.897	0.103	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.897	0.103	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.897	0.103	0.000
rs9272226 lBF = `235.986` Chr`6` : `32,602,396`	0.897	0.103	0.000
rs2523477 lBF = `6.40206` Chr`6` : `31,360,389`	0.000	0.104	0.896
rs45531831 lBF = `17.5762` Chr`6` : `31,938,120`	0.896	0.104	0.000
rs72727394 lBF = `12.5933` Chr`15` : `38,847,022`	0.895	0.105	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.894	0.106	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.894	0.106	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.894	0.106	0.000
rs76444744 lBF = `4.62118` Chr`2` : `101,705,345`	0.894	0.106	0.000
rs114027487 lBF = `12.8754` Chr`6` : `31,236,571`	0.000	0.107	0.893
rs113979555 lBF = `93.7374` Chr`6` : `32,583,188`	0.893	0.107	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.893	0.107	0.000
rs17493811 lBF = `20.4967` Chr`6` : `32,145,399`	0.892	0.108	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.892	0.108	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.892	0.108	0.000
rs2844586 lBF = `11.7203` Chr`6` : `31,318,024`	0.000	0.109	0.891
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.890	0.110	0.000
rs2849013 lBF = `16.0766` Chr`6` : `32,132,590`	0.000	0.111	0.889
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.889	0.111	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.888	0.112	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.888	0.112	0.000
rs6939227 lBF = `14.2313` Chr`6` : `31,870,873`	0.000	0.112	0.888
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.887	0.113	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.887	0.113	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.887	0.113	0.000
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rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.884	0.116	0.000
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rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.884	0.116	0.000
rs532965 lBF = `522.853` Chr`6` : `32,577,973`	0.884	0.116	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.883	0.117	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.882	0.118	0.000
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rs115073616 lBF = `21.2519` Chr`2` : `22,668,759`	0.880	0.120	0.000
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rs74371203 lBF = `16.1716` Chr`5` : `119,209,581`	0.879	0.121	0.000
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rs34451186 lBF = `94.4703` Chr`6` : `32,542,638`	0.875	0.125	0.000
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.875	0.125	0.000
Affx-28497534 lBF = `50.5526` Chr`6` : `32,629,905`	0.000	0.127	0.873
rs1269839 lBF = `15.8286` Chr`6` : `32,136,930`	0.000	0.128	0.872
rs7752963 lBF = `10.3614` Chr`6` : `31,200,334`	0.000	0.130	0.870
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.870	0.130	0.000
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rs114946066 lBF = `5.04818` Chr`3` : `185,653,097`	0.869	0.131	0.000
rs114832009 lBF = `8.70444` Chr`6` : `31,770,823`	0.000	0.133	0.867
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rs9275326 lBF = `348.679` Chr`6` : `32,666,660`	0.865	0.135	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.865	0.135	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.865	0.135	0.000
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rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.863	0.137	0.000
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rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.863	0.137	0.000
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Affx-52368559 lBF = `10.3508` Chr`6` : `31,237,764`	0.000	0.148	0.852
rs106287 lBF = `9.62632` Chr`6` : `31,935,750`	0.000	0.149	0.851
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Affx-28507878 lBF = `12.4749` Chr`6` : `32,823,948`	0.000	0.151	0.849
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rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.845	0.155	0.000
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Affx-28508994 lBF = `12.3138` Chr`6` : `32,880,409`	0.000	0.156	0.844
rs393544 lBF = `13.0948` Chr`6` : `32,074,518`	0.000	0.156	0.844
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rs512559 lBF = `12.5585` Chr`6` : `31,916,062`	0.000	0.164	0.836
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rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.834	0.166	0.000
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rs6916278 lBF = `25.9034` Chr`6` : `31,678,774`	0.000	0.226	0.774
rs116135464 lBF = `90.0255` Chr`6` : `31,370,984`	0.773	0.227	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.773	0.227	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.773	0.227	0.000
rs194679 lBF = `20.8093` Chr`6` : `32,891,338`	0.773	0.227	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.772	0.228	0.000
rs9332739 lBF = `16.6349` Chr`6` : `31,903,804`	0.772	0.228	0.000
rs7748270 lBF = `304.134` Chr`6` : `32,448,599`	0.772	0.228	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.771	0.228	0.000
rs180771047 lBF = `2.90315` Chr`2` : `227,185,851`	0.771	0.229	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.771	0.229	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.770	0.230	0.000
rs3763355 lBF = `60.343` Chr`6` : `32,786,882`	0.770	0.230	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.770	0.230	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.768	0.232	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.767	0.232	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.767	0.233	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.766	0.234	0.000
rs2844480 lBF = `73.2041` Chr`6` : `31,564,821`	0.766	0.234	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.766	0.234	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.765	0.235	0.000
rs4151672 lBF = `15.5949` Chr`6` : `31,919,830`	0.764	0.236	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.764	0.236	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.763	0.237	0.000
rs2328881 lBF = `80.6764` Chr`6` : `25,394,905`	0.763	0.237	0.000
rs7778881 lBF = `12.4659` Chr`7` : `66,460,011`	0.763	0.237	0.000
rs73200436 lBF = `2.81861` Chr`12` : `110,062,693`	0.763	0.237	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.762	0.238	0.000
rs141497497 lBF = `2.68413` Chr`10` : `131,149,255`	0.762	0.238	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.761	0.239	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.761	0.239	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.760	0.240	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.760	0.240	0.000
rs115247800 lBF = `26.4799` Chr`6` : `31,606,813`	0.759	0.241	0.000
rs416002 lBF = `11.0679` Chr`6` : `31,938,635`	0.000	0.242	0.758
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.758	0.242	0.000
rs2517425 lBF = `183.674` Chr`6` : `30,949,670`	0.757	0.243	0.000
rs9268515 lBF = `390.149` Chr`6` : `32,379,295`	0.757	0.243	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.757	0.243	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.757	0.243	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.757	0.243	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.757	0.243	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.756	0.244	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.756	0.244	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.756	0.244	0.000
rs204885 lBF = `7.5657` Chr`6` : `32,029,929`	0.000	0.244	0.756
rs28746867 lBF = `230.246` Chr`6` : `32,635,293`	0.754	0.246	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.754	0.246	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.753	0.247	0.000
rs4151671 lBF = `17.276` Chr`6` : `31,918,903`	0.753	0.247	0.000
rs17577980 lBF = `23.6531` Chr`6` : `32,359,821`	0.000	0.248	0.752
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.752	0.248	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.752	0.248	0.000
rs2647014 lBF = `52.8412` Chr`6` : `32,664,279`	0.000	0.248	0.752
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.752	0.248	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.752	0.248	0.000
rs743400 lBF = `25.5334` Chr`6` : `31,607,111`	0.000	0.250	0.750
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.750	0.250	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.749	0.251	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.748	0.252	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.748	0.252	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.748	0.252	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.747	0.253	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.746	0.254	0.000
rs454212 lBF = `40.1069` Chr`6` : `31,934,372`	0.000	0.254	0.746
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.746	0.254	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.745	0.255	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.744	0.256	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.744	0.256	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.743	0.257	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.743	0.257	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.743	0.257	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.743	0.257	0.000
rs389512 lBF = `38.7971` Chr`6` : `31,947,594`	0.000	0.258	0.742
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.742	0.258	0.000
rs2856705 lBF = `51.1465` Chr`6` : `32,670,956`	0.000	0.258	0.742
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.741	0.259	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.741	0.259	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.740	0.260	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.740	0.260	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.740	0.260	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.740	0.260	0.000
rs4151669 lBF = `17.2055` Chr`6` : `31,915,144`	0.740	0.260	0.000
Affx-28498032 lBF = `239.951` Chr`6` : `32,631,570`	0.739	0.261	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.738	0.262	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.738	0.262	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.738	0.262	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.737	0.262	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.737	0.263	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.737	0.263	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.737	0.263	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.737	0.263	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.737	0.263	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.736	0.264	0.000
rs45565837 lBF = `23.5217` Chr`6` : `31,694,859`	0.735	0.264	0.000
rs6916742 lBF = `323.838` Chr`6` : `32,453,191`	0.735	0.265	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7335

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4923

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9997

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9997

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9989

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9980

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9974

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9969

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9968

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9939

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9937

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9870

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9858

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9857

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9856

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9834

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9782

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9778

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9766

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9748

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9681

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9656

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9642

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9642

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9640

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9636

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9626

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9611

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9603

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9597

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9588

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9577

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9572

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9505

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9502

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.9458

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9299

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9247

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9160

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9160

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9136

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9027

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8985

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8927

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8912

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8848

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8847

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8714

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8682

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8647

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8529

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8476

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8164

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8141

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7941

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7880

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.7788

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7711

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7560

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7471

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7362

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7351

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7333

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7252

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7193

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7166

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7133

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7028

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6943

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6822

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6818

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6754

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6721

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6667

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6583

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6578

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6148

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6044

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6000

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5752

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5736

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5694

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5536

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5477

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5465

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.5320

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.5169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5089

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5070

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5029

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5012

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4911

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.4804

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4572

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4558

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4345

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4277

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4235

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4014

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3837

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3606

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3358

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3350

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3199

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.3144

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3062

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3046

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2885

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2872

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2842

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2599

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2573

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2401

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2387

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2350

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2314

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2278

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2185

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2050

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2037

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2012

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1938

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1937

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1875

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1864

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1801

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1789

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1781

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1588

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1552

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1516

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1487

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1348

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1348

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1322

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1288

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1168

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1101

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1083

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1067

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1057

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1032

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1015

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0967

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0952

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0896

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0893

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0886

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0867

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0800

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0775

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0742

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0677

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0601

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0555

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0548

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`)