TreeWAS – [K00.8] Other disorders of tooth development

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
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.568	0.432	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.546	0.454	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.529	0.471	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.514	0.486	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.514	0.486	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.513	0.486	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.513	0.487	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.509	0.490	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.470	0.529	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.459	0.541	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.453	0.547	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.451	0.549	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.450	0.550	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.449	0.551	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.447	0.552	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.436	0.564	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.433	0.567	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.411	0.589	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.408	0.592	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.406	0.594	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.405	0.594	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.403	0.597	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.390	0.610	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.376	0.623	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.354	0.646	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.324	0.675	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.307	0.693	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.301	0.699	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.290	0.709	0.000
rs74976893 lBF = `0.505264` Chr`17` : `69,729,925`	0.289	0.711	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.286	0.713	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.280	0.719	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.276	0.724	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.243	0.757	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.235	0.765	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.235	0.765	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.226	0.773	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.212	0.788	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.208	0.792	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.198	0.802	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.195	0.804	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.182	0.818	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.174	0.826	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.171	0.829	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.149	0.851	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.144	0.856	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.133	0.866	0.001
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.132	0.868	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.129	0.871	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.126	0.874	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.125	0.874	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.121	0.879	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.108	0.891	0.001
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.107	0.893	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.106	0.894	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.102	0.897	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.098	0.902	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.093	0.906	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.064	0.936	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.063	0.937	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.063	0.937	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.061	0.939	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.051	0.948	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.051	0.949	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.041	0.959	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.040	0.959	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.037	0.963	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.036	0.964	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.035	0.965	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.034	0.966	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.033	0.967	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.031	0.968	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.028	0.971	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.025	0.975	0.000
rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.024	0.975	0.000
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.021	0.979	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.020	0.979	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.019	0.980	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.019	0.980	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.019	0.981	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.019	0.981	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.019	0.981	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.019	0.981	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.013	0.987	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.011	0.988	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.011	0.989	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.011	0.989	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.010	0.989	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.009	0.991	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.009	0.991	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.008	0.991	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.007	0.992	0.001
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.008	0.992	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.008	0.992	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.007	0.993	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.007	0.993	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.007	0.993	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.006	0.994	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.005	0.995	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.005	0.995	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.005	0.995	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.005	0.995	0.000
rs2270518 lBF = `0.00863214` Chr`17` : `7,758,522`	0.005	0.995	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.005	0.995	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.005	0.995	0.000
rs149969998 lBF = `0.105758` Chr`17` : `13,595,579`	0.004	0.996	0.000
rs72883103 lBF = `10.4164` Chr`17` : `74,629,898`	0.004	0.996	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.004	0.996	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.004	0.996	0.000
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.003	0.996	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.003	0.996	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs11012 lBF = `5.54016` Chr`17` : `43,513,441`	0.003	0.997	0.000
rs17631303 lBF = `5.68016` Chr`17` : `43,516,402`	0.003	0.997	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.003	0.997	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.003	0.997	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.003	0.997	0.000
rs113936974 lBF = `0.0201255` Chr`17` : `71,886,630`	0.002	0.997	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.998	0.002
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.002	0.998	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.002	0.998	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.002	0.998	0.000
rs11658311 lBF = `1.20084` Chr`17` : `17,470,526`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.001	0.998	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.002	0.998	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.002	0.998	0.000
rs138615762 lBF = `0.00498424` Chr`17` : `4,328,312`	0.002	0.998	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.998	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.001	0.998	0.000
rs145809511 lBF = `8.94119` Chr`17` : `44,633,014`	0.001	0.998	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.001	0.998	0.000
rs892961 lBF = `-0.100491` Chr`17` : `75,400,100`	0.001	0.999	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.001	0.999	0.001
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.001	0.999	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.999	0.000
rs55955238 lBF = `-0.00136183` Chr`17` : `35,270,922`	0.001	0.999	0.000
rs191392302 lBF = `0.0986711` Chr`17` : `39,953,961`	0.001	0.999	0.000
rs12940887 lBF = `28.7338` Chr`17` : `47,402,807`	0.001	0.999	0.000
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs4987082 lBF = `9.49246` Chr`17` : `47,481,374`	0.001	0.999	0.000
rs80282661 lBF = `0.017531` Chr`17` : `13,252,073`	0.001	0.999	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.001	0.999	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.001	0.999	0.000
rs12185265 lBF = `0.0183091` Chr`17` : `35,274,282`	0.001	0.999	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.000	0.999	0.001
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.001	0.999	0.000
rs2003347 lBF = `-0.00956259` Chr`17` : `35,273,345`	0.001	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.001	0.999	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.001	0.999	0.000
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs4968782 lBF = `3.51279` Chr`17` : `61,548,476`	0.000	0.999	0.001
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	0.999	0.001
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.001	0.999	0.000
rs9303521 lBF = `1.38622` Chr`17` : `43,805,194`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs8178393 lBF = `0.00007991` Chr`17` : `56,340,451`	0.001	0.999	0.000
rs16973424 lBF = `0.00003852` Chr`17` : `66,904,001`	0.001	0.999	0.000
rs2306658 lBF = `0.00000242` Chr`17` : `35,306,312`	0.000	0.999	0.001
rs146873050 lBF = `0` Chr`17` : `56,291,326`	0.001	0.999	0.001
rs113203253 lBF = `0` Chr`17` : `56,348,068`	0.001	0.999	0.001
rs140543894 lBF = `0` Chr`17` : `56,289,109`	0.001	0.999	0.001
rs150758818 lBF = `0` Chr`17` : `56,324,768`	0.001	0.999	0.001
rs7210100 lBF = `0` Chr`17` : `47,436,749`	0.001	0.999	0.001
rs12949468 lBF = `0` Chr`17` : `60,593,816`	0.001	0.999	0.001
rs142991058 lBF = `0` Chr`17` : `73,046,170`	0.001	0.999	0.001
rs144460277 lBF = `0` Chr`17` : `9,075,744`	0.001	0.999	0.001
rs141829479 lBF = `0` Chr`17` : `56,305,064`	0.001	0.999	0.001
rs146255527 lBF = `0` Chr`17` : `56,950,568`	0.001	0.999	0.001
rs9899375 lBF = `0` Chr`17` : `7,811,615`	0.001	0.999	0.001
rs111786708 lBF = `0` Chr`17` : `56,289,177`	0.001	0.999	0.001
rs61744862 lBF = `0` Chr`17` : `17,068,182`	0.001	0.999	0.001
rs188840013 lBF = `0` Chr`17` : `51,992,003`	0.001	0.999	0.001
rs186171056 lBF = `0` Chr`17` : `59,606,089`	0.001	0.999	0.001
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs78507937 lBF = `0` Chr`17` : `6,987,841`	0.001	0.999	0.001
rs144908958 lBF = `0` Chr`17` : `31,532,414`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	0.001	0.999	0.001
rs188757965 lBF = `0` Chr`17` : `41,119,569`	0.001	0.999	0.001
rs116372990 lBF = `0` Chr`17` : `56,310,262`	0.001	0.999	0.001
rs138387343 lBF = `0` Chr`17` : `57,060,633`	0.001	0.999	0.001
rs75041531 lBF = `0` Chr`17` : `38,393,151`	0.001	0.999	0.001
rs116885154 lBF = `-0.00001053` Chr`17` : `71,784,375`	0.001	0.999	0.000
rs12453524 lBF = `-0.00003894` Chr`17` : `66,575,117`	0.000	0.999	0.001
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs4329 lBF = `-0.0707658` Chr`17` : `61,563,458`	0.000	0.999	0.001
rs4351 lBF = `-0.0708325` Chr`17` : `61,569,732`	0.000	0.999	0.001
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.001	0.999	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.001	0.999	0.000
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.001	0.999	0.000
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.001	0.999	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.001	0.999	0.000
Affx-13924092 lBF = `7.57277` Chr`17` : `43,728,376`	0.001	0.999	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.001	0.999	0.000
rs2320952 lBF = `0.0109096` Chr`17` : `10,466,474`	0.001	0.999	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.000	0.999	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.001	0.999	0.000
rs62064667 lBF = `6.24658` Chr`17` : `44,082,528`	0.001	0.999	0.000
rs4796827 lBF = `-0.00868701` Chr`17` : `76,633,965`	0.001	0.999	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	0.999	0.001
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.000	0.999	0.001
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rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.000	0.999	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.000	0.999	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.000	0.999	0.000
rs8081264 lBF = `7.94459` Chr`17` : `7,235,316`	0.000	0.999	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.000	0.999	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.000	0.999	0.000
rs199501 lBF = `6.03665` Chr`17` : `44,862,613`	0.000	0.999	0.000
Affx-13922976 lBF = `5.36343` Chr`17` : `43,659,975`	0.000	0.999	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.000	0.999	0.000
rs61457372 lBF = `2.4185` Chr`17` : `70,359,774`	0.000	0.999	0.000
rs2302777 lBF = `2.16142` Chr`17` : `38,179,492`	0.000	0.999	0.000
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.000	0.999	0.000
rs12451840 lBF = `0.364503` Chr`17` : `71,807,713`	0.000	0.999	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	0.999	0.000
rs2597167 lBF = `0.158913` Chr`17` : `46,047,656`	0.000	0.999	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	0.999	0.000
rs28452431 lBF = `0.0883921` Chr`17` : `10,112,158`	0.000	0.999	0.000
rs2138852 lBF = `0.0595363` Chr`17` : `27,703,349`	0.000	0.999	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	0.999	0.000
rs220470 lBF = `0.0547558` Chr`17` : `3,664,975`	0.000	0.999	0.000
rs4968361 lBF = `0.0365194` Chr`17` : `57,502,828`	0.000	0.999	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	0.999	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	0.999	0.000
rs79947075 lBF = `0.0194576` Chr`17` : `38,921,043`	0.000	0.999	0.000
rs7503807 lBF = `0.0141674` Chr`17` : `78,591,111`	0.000	0.999	0.000
rs12602978 lBF = `0.0138007` Chr`17` : `25,567,080`	0.000	0.999	0.000
rs2366017 lBF = `0.0131421` Chr`17` : `67,850,901`	0.000	0.999	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.000	0.999	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	0.999	0.000
rs1006703 lBF = `-0.00866852` Chr`17` : `3,865,399`	0.000	0.999	0.000
rs7209435 lBF = `-0.0111395` Chr`17` : `61,712,964`	0.000	0.999	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	0.999	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	0.999	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	0.999	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	0.999	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	0.999	0.000
rs3803800 lBF = `-0.0428206` Chr`17` : `7,462,969`	0.000	0.999	0.000
rs3786094 lBF = `-0.0438178` Chr`17` : `9,875,205`	0.000	0.999	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	0.999	0.000
rs1354492 lBF = `-0.0878239` Chr`17` : `31,737,421`	0.000	0.999	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	0.999	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.000	0.999	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	0.999	0.000
rs76264592 lBF = `5.36406` Chr`17` : `40,514,723`	0.000	0.999	0.000
rs199443 lBF = `4.99457` Chr`17` : `44,819,565`	0.000	0.999	0.000
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.000	0.999	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.000	0.999	0.000
rs11649743 lBF = `1.66786` Chr`17` : `36,074,979`	0.000	0.999	0.000
rs1877030 lBF = `1.41767` Chr`17` : `37,740,161`	0.000	0.999	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.999	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	0.999	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	0.999	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	0.999	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	0.999	0.000
rs4986044 lBF = `0.0407517` Chr`17` : `21,261,560`	0.000	0.999	0.000
rs9906289 lBF = `0.0391335` Chr`17` : `46,644,677`	0.000	0.999	0.000
rs4792800 lBF = `0.0384245` Chr`17` : `16,845,167`	0.000	0.999	0.000
rs8076739 lBF = `0.0105619` Chr`17` : `27,714,587`	0.000	0.999	0.000
rs3848445 lBF = `0.00738272` Chr`17` : `14,294,021`	0.000	0.999	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	0.999	0.000
rs17881320 lBF = `0.00087319` Chr`17` : `40,485,239`	0.000	0.999	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	0.999	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	0.999	0.000
rs11658329 lBF = `-0.01479` Chr`17` : `61,763,031`	0.000	0.999	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	0.999	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	0.999	0.000
rs16956936 lBF = `-0.0329272` Chr`17` : `7,633,692`	0.000	0.999	0.000
rs8072100 lBF = `-0.0332638` Chr`17` : `45,674,687`	0.000	0.999	0.000
rs11078884 lBF = `-0.0335685` Chr`17` : `2,145,193`	0.000	0.999	0.000
rs9303196 lBF = `-0.035859` Chr`17` : `5,907,443`	0.000	0.999	0.000
rs12946942 lBF = `-0.0465206` Chr`17` : `69,236,998`	0.000	0.999	0.000
rs12600635 lBF = `-0.0486726` Chr`17` : `17,142,896`	0.000	0.999	0.000
rs11079321 lBF = `-0.0609623` Chr`17` : `55,747,416`	0.000	0.999	0.000
rs346785 lBF = `-0.0614293` Chr`17` : `74,283,769`	0.000	0.999	0.000
rs4793501 lBF = `-0.063154` Chr`17` : `68,718,734`	0.000	0.999	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.000	0.999	0.000
rs1019238 lBF = `-0.0923717` Chr`17` : `54,278,715`	0.000	0.999	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	1.000	0.000
rs1860374 lBF = `6.15678` Chr`17` : `59,277,614`	0.000	1.000	0.000
rs7223467 lBF = `5.72334` Chr`17` : `81,051,887`	0.000	1.000	0.000
Affx-13923041 lBF = `5.60817` Chr`17` : `43,661,801`	0.000	1.000	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	1.000	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs11078895 lBF = `0.45687` Chr`17` : `37,401,051`	0.000	1.000	0.000
rs12949531 lBF = `0.403478` Chr`17` : `13,733,806`	0.000	1.000	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs727428 lBF = `0.234682` Chr`17` : `7,537,792`	0.000	1.000	0.000
rs72829446 lBF = `0.233276` Chr`17` : `7,552,123`	0.000	1.000	0.000
rs1625895 lBF = `0.224025` Chr`17` : `7,578,115`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs58630086 lBF = `0.134518` Chr`17` : `6,781,413`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs2665838 lBF = `0.106499` Chr`17` : `61,966,465`	0.000	1.000	0.000
rs17780086 lBF = `0.067687` Chr`17` : `30,343,282`	0.000	1.000	0.000
rs59403466 lBF = `0.0667006` Chr`17` : `2,785,895`	0.000	1.000	0.000

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

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7051

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7017

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6969

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6943

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6893

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6848

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6843

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6838

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6787

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6691

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6641

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6629

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6617

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6616

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6610

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6575

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6555

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6549

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6537

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6517

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6516

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6509

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6504

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6479

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6475

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6466

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6440

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6436

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6420

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6416

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6414

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6367

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6359

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6347

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6335

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6322

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6316

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6315

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6296

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6276

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6256

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6224

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6223

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6222

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6193

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6132

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6128

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6095

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6090

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6073

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6062

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6059

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6027

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6014

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6013

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5986

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5986

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5964

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5960

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5949

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5929

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5918

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5909

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5904

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5870

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5843

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5834

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5816

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5753

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5751

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5729

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5725

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5698

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5671

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5666

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5665

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5650

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5643

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5634

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5633

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5594

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5585

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5580

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5575

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5551

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5541

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5523

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5517

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5514

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5482

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5471

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5467

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5442

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5423

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5420

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5415

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5405

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5387

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5359

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5356

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5286

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5263

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5259

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5244

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5237

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5157

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5151

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5140

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5140

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5139

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5137

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5129

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5126

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5086

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5062

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5061

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4915

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4914

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4899

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4801

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4794

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4773

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4734

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4663

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4328

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4194

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4156

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3980

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3940

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3828

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3726

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2825

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2277

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2166

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1986

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1667

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1182

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1023

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0899

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0672

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`)