TreeWAS – [I80] Phlebitis and thrombophlebitis

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
rs6088765 lBF = `11.7874` Chr`20` : `33,799,280`	1.000	0.000	0.000
rs6087685 lBF = `12.9938` Chr`20` : `33,777,612`	0.997	0.003	0.000
rs8114671 lBF = `2.68271` Chr`20` : `33,789,142`	0.000	0.004	0.996
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.976	0.024	0.000
rs2425052 lBF = `8.43174` Chr`20` : `33,880,729`	0.975	0.025	0.000
rs2295888 lBF = `2.36827` Chr`20` : `33,722,863`	0.960	0.040	0.000
rs11167260 lBF = `2.76997` Chr`20` : `33,775,200`	0.957	0.043	0.000
rs867186 lBF = `2.73191` Chr`20` : `33,764,554`	0.956	0.044	0.000
rs143384 lBF = `39.0273` Chr`20` : `34,025,756`	0.906	0.094	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.893	0.107	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.886	0.114	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.884	0.116	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.877	0.123	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.835	0.165	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.764	0.236	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.763	0.237	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.757	0.243	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.729	0.271	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.724	0.276	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.723	0.277	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.705	0.295	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.694	0.306	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.656	0.344	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.646	0.354	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.642	0.358	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.641	0.359	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.637	0.363	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.637	0.363	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.633	0.367	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.624	0.375	0.000
rs6088580 lBF = `0.89953` Chr`20` : `33,285,053`	0.614	0.386	0.000
rs6060373 lBF = `31.6676` Chr`20` : `33,914,208`	0.610	0.390	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.605	0.395	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.596	0.404	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.582	0.418	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.581	0.419	0.000
rs6060369 lBF = `31.7161` Chr`20` : `33,907,161`	0.534	0.466	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.532	0.468	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.530	0.470	0.000
rs6077251 lBF = `1.35724` Chr`20` : `7,752,366`	0.530	0.470	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.526	0.474	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.521	0.479	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.506	0.494	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.479	0.521	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.468	0.532	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.461	0.539	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.460	0.540	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.455	0.545	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.452	0.548	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.449	0.551	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.447	0.553	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.440	0.560	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.420	0.580	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.415	0.585	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.412	0.588	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.393	0.599	0.009
rs78110303 lBF = `35.1732` Chr`20` : `34,025,983`	0.400	0.600	0.000
rs4911494 lBF = `35.7111` Chr`20` : `33,971,914`	0.397	0.603	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.397	0.603	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.395	0.604	0.001
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.380	0.619	0.001
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.355	0.645	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.350	0.650	0.000
rs6088813 lBF = `35.2864` Chr`20` : `33,975,181`	0.343	0.657	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.326	0.674	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.326	0.674	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.316	0.684	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.295	0.705	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.294	0.706	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.284	0.716	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.282	0.718	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.270	0.730	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.260	0.740	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.257	0.743	0.000
rs4911179 lBF = `34.7706` Chr`20` : `33,972,899`	0.247	0.753	0.000
rs292122 lBF = `5.92545` Chr`20` : `52,871,764`	0.244	0.756	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.242	0.758	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.231	0.769	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.209	0.791	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.208	0.791	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.208	0.791	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.208	0.792	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.204	0.796	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.203	0.797	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.194	0.806	0.001
rs224329 lBF = `36.2774` Chr`20` : `34,019,579`	0.182	0.818	0.000
rs6092354 lBF = `1.46723` Chr`20` : `55,294,474`	0.000	0.821	0.179
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.177	0.823	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.174	0.826	0.000
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.173	0.827	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.168	0.832	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.161	0.839	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.160	0.840	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.156	0.844	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.148	0.852	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.144	0.855	0.000
rs224333 lBF = `33.3177` Chr`20` : `34,023,962`	0.143	0.857	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.140	0.860	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.120	0.879	0.001
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.119	0.881	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.885	0.115
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.114	0.886	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.106	0.894	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.104	0.895	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.095	0.905	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.091	0.909	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.090	0.910	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.084	0.916	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.083	0.917	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.080	0.919	0.000
rs6035126 lBF = `0.055357` Chr`20` : `1,929,542`	0.078	0.922	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.055	0.945	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.054	0.946	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.052	0.948	0.000
rs117803469 lBF = `12.5069` Chr`20` : `1,600,405`	0.051	0.949	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.049	0.950	0.001
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.952	0.048
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.046	0.954	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.044	0.956	0.000
rs16985437 lBF = `0.101467` Chr`20` : `60,258,851`	0.042	0.958	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.958	0.042
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.039	0.961	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.038	0.962	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.033	0.967	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.033	0.967	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.032	0.968	0.000
rs6120849 lBF = `2.31896` Chr`20` : `33,730,387`	0.030	0.970	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.030	0.970	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.028	0.972	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.028	0.972	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	0.972	0.028
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.022	0.978	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.018	0.981	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.017	0.983	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.014	0.986	0.000
rs45461993 lBF = `5.77094` Chr`20` : `61,983,901`	0.014	0.986	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.013	0.987	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.010	0.990	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.010	0.990	0.000
rs6059969 lBF = `27.4928` Chr`20` : `33,245,284`	0.000	0.992	0.008
rs6060448 lBF = `5.01857` Chr`20` : `34,112,192`	0.008	0.992	0.000
rs2425163 lBF = `2.5363` Chr`20` : `34,432,670`	0.008	0.992	0.000
rs1465537 lBF = `6.53338` Chr`20` : `57,698,020`	0.006	0.994	0.000
rs3746446 lBF = `0.625774` Chr`20` : `33,574,765`	0.006	0.994	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.005	0.995	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	0.995	0.005
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.005	0.995	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.004	0.995	0.000
rs6110278 lBF = `-0.0467543` Chr`20` : `14,388,215`	0.000	0.996	0.004
rs6015450 lBF = `12.9686` Chr`20` : `57,751,117`	0.004	0.996	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.003	0.997	0.000
rs16982520 lBF = `11.4522` Chr`20` : `57,758,720`	0.003	0.997	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.997	0.000
rs1320561 lBF = `-0.0649904` Chr`20` : `23,097,880`	0.003	0.997	0.000
rs2236164 lBF = `7.01229` Chr`20` : `34,097,353`	0.003	0.997	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.000	0.997	0.002
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.001	0.998	0.002
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.002	0.998	0.000
rs1741309 lBF = `-0.0826531` Chr`20` : `4,144,577`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs1799990 lBF = `-0.128379` Chr`20` : `4,680,251`	0.002	0.998	0.000
rs150097070 lBF = `0.0457431` Chr`20` : `18,660,667`	0.000	0.998	0.002
rs6132333 lBF = `0.363479` Chr`20` : `20,634,106`	0.002	0.998	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.998	0.000
rs11536940 lBF = `0.0754302` Chr`20` : `36,977,636`	0.002	0.998	0.000
rs17194885 lBF = `-0.0174723` Chr`20` : `36,068,389`	0.002	0.998	0.000
rs6044834 lBF = `-0.0292816` Chr`20` : `17,436,473`	0.000	0.998	0.002
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.998	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.001	0.999	0.000
rs62213709 lBF = `22.6118` Chr`20` : `33,642,396`	0.000	0.999	0.001
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.001	0.999	0.000
rs6513791 lBF = `-0.0699982` Chr`20` : `41,058,122`	0.000	0.999	0.001
rs4813003 lBF = `1.02644` Chr`20` : `44,763,284`	0.001	0.999	0.000
rs187497509 lBF = `0.0037498` Chr`20` : `42,979,571`	0.000	0.999	0.001
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.000	0.999	0.001
rs844917 lBF = `-0.0723708` Chr`20` : `23,141,655`	0.001	0.999	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.000	0.999	0.001
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.000	0.999	0.001
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs4809363 lBF = `5.08843` Chr`20` : `62,450,998`	0.000	0.999	0.001
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.000	0.999	0.001
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	0.999	0.001
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.000	0.999	0.001
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.000	0.999	0.001
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.000	0.999	0.001
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.000	0.999	0.001
rs6046346 lBF = `-0.00001321` Chr`20` : `19,802,188`	0.001	0.999	0.000
rs191335472 lBF = `-0.00002611` Chr`20` : `2,042,352`	0.000	0.999	0.001
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.001	0.999	0.000
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rs6046144 lBF = `21.5897` Chr`20` : `19,477,390`	0.000	1.000	0.000
rs84824 lBF = `16.3155` Chr`20` : `2,301,285`	0.000	1.000	0.000
rs6036169 lBF = `6.54958` Chr`20` : `22,645,877`	0.000	1.000	0.000
rs975525 lBF = `5.99113` Chr`20` : `22,640,412`	0.000	1.000	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.000	1.000	0.000
rs4243971 lBF = `0.641671` Chr`20` : `30,849,517`	0.000	1.000	0.000
rs1555322 lBF = `0.553694` Chr`20` : `33,849,179`	0.000	1.000	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	1.000	0.000
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.000	1.000	0.000
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.000	1.000	0.000
rs235770 lBF = `0.0982254` Chr`20` : `6,761,765`	0.000	1.000	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	1.000	0.000
rs816535 lBF = `0.0536421` Chr`20` : `26,255,996`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs1407335 lBF = `0.0235436` Chr`20` : `13,222,858`	0.000	1.000	0.000
rs3903703 lBF = `0.0123464` Chr`20` : `12,945,963`	0.000	1.000	0.000
rs397020 lBF = `0.00828012` Chr`20` : `1,205,886`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs3761218 lBF = `-0.00241807` Chr`20` : `3,776,175`	0.000	1.000	0.000
rs1209523 lBF = `-0.0139439` Chr`20` : `22,567,942`	0.000	1.000	0.000
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.000	1.000	0.000
rs6099314 lBF = `-0.0154223` Chr`20` : `55,454,659`	0.000	1.000	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.000	1.000	0.000
rs910191 lBF = `-0.0284164` Chr`20` : `47,088,732`	0.000	1.000	0.000
rs16985615 lBF = `-0.0301459` Chr`20` : `23,642,427`	0.000	1.000	0.000
rs4549165 lBF = `-0.0357221` Chr`20` : `46,336,026`	0.000	1.000	0.000
rs2618568 lBF = `-0.0691812` Chr`20` : `17,843,968`	0.000	1.000	0.000
rs6013382 lBF = `-0.0993429` Chr`20` : `50,702,633`	0.000	1.000	0.000
rs2427308 lBF = `35.7238` Chr`20` : `60,969,451`	0.000	1.000	0.000
rs62192635 lBF = `5.00211` Chr`20` : `2,258,088`	0.000	1.000	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.000	1.000	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.000	1.000	0.000
rs6011002 lBF = `1.14906` Chr`20` : `62,297,802`	0.000	1.000	0.000
rs909341 lBF = `0.73248` Chr`20` : `62,328,742`	0.000	1.000	0.000
rs4468878 lBF = `0.32969` Chr`20` : `59,928,237`	0.000	1.000	0.000
rs6097169 lBF = `0.310093` Chr`20` : `51,557,161`	0.000	1.000	0.000
rs2277862 lBF = `0.209698` Chr`20` : `34,152,782`	0.000	1.000	0.000
rs2424234 lBF = `0.206305` Chr`20` : `19,363,979`	0.000	1.000	0.000
rs6062314 lBF = `0.139783` Chr`20` : `62,409,713`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs6054512 lBF = `0.0882823` Chr`20` : `6,761,512`	0.000	1.000	0.000
rs7270101 lBF = `0.0537043` Chr`20` : `3,193,893`	0.000	1.000	0.000
rs6020157 lBF = `0.0340282` Chr`20` : `48,591,758`	0.000	1.000	0.000
rs2747539 lBF = `0.0322663` Chr`20` : `32,418,368`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs62204504 lBF = `0.0196843` Chr`20` : `42,795,048`	0.000	1.000	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs6054906 lBF = `-0.0242098` Chr`20` : `7,294,903`	0.000	1.000	0.000
rs4925325 lBF = `-0.0265228` Chr`20` : `60,514,224`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	1.000	0.000
rs1533087 lBF = `-0.0473504` Chr`20` : `594,780`	0.000	1.000	0.000
rs13037749 lBF = `-0.054854` Chr`20` : `40,064,559`	0.000	1.000	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.000	1.000	0.000
rs6075524 lBF = `19.2434` Chr`20` : `19,509,918`	0.000	1.000	0.000
rs78143514 lBF = `18.6381` Chr`20` : `19,570,596`	0.000	1.000	0.000
rs2236200 lBF = `11.5014` Chr`20` : `60,986,019`	0.000	1.000	0.000
rs4809370 lBF = `8.15462` Chr`20` : `62,470,872`	0.000	1.000	0.000
rs874499 lBF = `5.73451` Chr`20` : `2,217,138`	0.000	1.000	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.000	1.000	0.000
rs2297441 lBF = `0.960517` Chr`20` : `62,327,582`	0.000	1.000	0.000
rs34602589 lBF = `0.652866` Chr`20` : `43,768,734`	0.000	1.000	0.000
rs11696973 lBF = `0.44522` Chr`20` : `54,126,509`	0.000	1.000	0.000
rs2180439 lBF = `0.438863` Chr`20` : `21,853,100`	0.000	1.000	0.000
rs62202398 lBF = `0.362478` Chr`20` : `46,801,224`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs6120974 lBF = `0.142245` Chr`20` : `34,126,827`	0.000	1.000	0.000
rs6127978 lBF = `0.10398` Chr`20` : `55,819,173`	0.000	1.000	0.000
rs13037755 lBF = `0.0702108` Chr`20` : `53,411,019`	0.000	1.000	0.000
rs6054374 lBF = `0.0370088` Chr`20` : `6,578,556`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs6055685 lBF = `0.0226222` Chr`20` : `8,213,786`	0.000	1.000	0.000
rs754626 lBF = `0.0157014` Chr`20` : `36,017,340`	0.000	1.000	0.000
rs4812466 lBF = `0.0103205` Chr`20` : `39,439,483`	0.000	1.000	0.000
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	1.000	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	1.000	0.000
rs6084946 lBF = `-0.0264705` Chr`20` : `549,918`	0.000	1.000	0.000
rs6127921 lBF = `-0.0319224` Chr`20` : `55,638,750`	0.000	1.000	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.000	1.000	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs1008953 lBF = `-0.0553544` Chr`20` : `43,980,726`	0.000	1.000	0.000
rs236114 lBF = `-0.0620348` Chr`20` : `5,935,385`	0.000	1.000	0.000
rs6072091 lBF = `-0.0686652` Chr`20` : `39,292,074`	0.000	1.000	0.000
rs8118008 lBF = `-0.0812984` Chr`20` : `3,168,166`	0.000	1.000	0.000
rs2743173 lBF = `-0.114989` Chr`20` : `8,245,293`	0.000	1.000	0.000
rs11698080 lBF = `17.6983` Chr`20` : `60,899,182`	0.000	1.000	0.000
rs214815 lBF = `16.1287` Chr`20` : `2,298,616`	0.000	1.000	0.000
rs973409 lBF = `10.4088` Chr`20` : `32,536,364`	0.000	1.000	0.000
rs76894896 lBF = `5.28084` Chr`20` : `34,865,772`	0.000	1.000	0.000
rs6072869 lBF = `5.17642` Chr`20` : `41,399,171`	0.000	1.000	0.000
rs78404372 lBF = `3.11633` Chr`20` : `55,855,793`	0.000	1.000	0.000
rs4812833 lBF = `1.61444` Chr`20` : `43,068,996`	0.000	1.000	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.000	1.000	0.000
rs2423294 lBF = `0.610162` Chr`20` : `7,819,768`	0.000	1.000	0.000
rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	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 X0136

log Bayes Factor = 105.47

contains 5 variants

1.0000

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.9208

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2166

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

1.0000

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0135

log Bayes Factor = 161.721

contains 3 variants

1.0000

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

1.0000

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

1.0000

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.9999

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9999

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9999

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9999

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9999

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9998

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9998

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9996

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9995

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9991

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9991

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9986

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9986

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9981

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9978

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9970

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9948

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9938

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9931

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9926

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9903

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9873

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9851

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9851

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9835

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9825

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9824

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9799

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9779

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9769

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9753

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9709

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9695

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9659

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9604

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9571

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9562

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9521

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9505

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9504

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9475

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9465

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9426

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9417

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9380

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9354

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9321

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9315

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9268

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9236

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9220

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9211

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9161

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9024

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8959

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8882

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8773

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8749

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8708

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8670

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8579

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8473

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8452

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8398

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8352

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8352

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8300

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8274

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8252

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8192

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8179

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8146

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8121

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8073

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7823

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7567

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7444

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7320

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7202

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7126

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6955

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6818

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6528

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6371

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6264

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6206

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6003

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5805

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5769

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5427

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5219

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5108

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5090

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5058

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5004

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4852

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4488

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4198

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4152

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3630

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3534

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3398

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3059

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3049

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2857

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2811

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2669

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2651

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2497

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2420

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2275

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.2127

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2087

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2028

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1976

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1904

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1873

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1848

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1699

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1672

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1216

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1119

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1027

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1013

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1012

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0934

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0931

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0920

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0909

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0899

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0897

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0768

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0740

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0720

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0673

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.0623

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0561

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0538

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Parent term	I80-I89 Diseases of veins, lymphatic vessels and lymph nodes, not elsewhere classified
Nested terms	I80.0 Phlebitis and thrombophlebitis of superficial vessels of lower extremities I80.1 Phlebitis and thrombophlebitis of femoral vein I80.2 Phlebitis and thrombophlebitis of other deep vessels of lower extremities I80.3 Phlebitis and thrombophlebitis of lower extremities, unspecified I80.8 Phlebitis and thrombophlebitis of other sites I80.9 Phlebitis and thrombophlebitis of unspecified site

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`)