TreeWAS – [Z82.0] Family history of epilepsy and other diseases of the nervous system

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
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.698	0.302	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.659	0.341	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.657	0.343	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.646	0.354	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.610	0.390	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.588	0.411	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.585	0.415	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.566	0.434	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.561	0.438	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.548	0.451	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.545	0.455	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.474	0.526	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.464	0.536	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.462	0.538	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.430	0.570	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.430	0.570	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.428	0.572	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.397	0.603	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.375	0.625	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.356	0.644	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.326	0.674	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.316	0.684	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.309	0.691	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.303	0.697	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.284	0.715	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.283	0.717	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.279	0.721	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.259	0.740	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.250	0.750	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.245	0.755	0.001
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.233	0.767	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.231	0.769	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.212	0.788	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.200	0.800	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.186	0.813	0.001
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.169	0.831	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.120	0.880	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.115	0.885	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.887	0.113
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.067	0.933	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.059	0.941	0.000
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.054	0.946	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.046	0.954	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.038	0.962	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.035	0.965	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.031	0.969	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.026	0.974	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.025	0.974	0.001
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.026	0.974	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.021	0.978	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.016	0.984	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.015	0.985	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.015	0.985	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.015	0.985	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.014	0.986	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.014	0.986	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.011	0.989	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.011	0.989	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.011	0.989	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.010	0.990	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.010	0.990	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.008	0.992	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.008	0.992	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.007	0.992	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.007	0.993	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.005	0.994	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.005	0.995	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.005	0.995	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.004	0.996	0.000
rs11655470 lBF = `1.92618` Chr`17` : `43,795,433`	0.000	0.996	0.004
rs663576 lBF = `16.6236` Chr`17` : `47,331,987`	0.004	0.996	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.004	0.996	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.003	0.996	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.003	0.996	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.001	0.997	0.003
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.003	0.997	0.000
rs77325336 lBF = `0.351881` Chr`17` : `66,625,794`	0.003	0.997	0.000
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.003	0.997	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.003	0.997	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.003	0.997	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	0.997	0.003
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs11870068 lBF = `0.00034915` Chr`17` : `65,944,515`	0.002	0.998	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.002	0.998	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.002	0.998	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.002	0.998	0.000
rs8078051 lBF = `0.00157654` Chr`17` : `72,251,240`	0.002	0.998	0.000
rs242557 lBF = `0.174769` Chr`17` : `44,019,712`	0.000	0.998	0.002
rs2567519 lBF = `-0.0475196` Chr`17` : `70,788,406`	0.000	0.998	0.002
rs4788985 lBF = `-0.112155` Chr`17` : `75,313,335`	0.002	0.998	0.000
rs7216064 lBF = `0.00201617` Chr`17` : `65,898,809`	0.002	0.998	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.002	0.998	0.000
rs17608766 lBF = `5.23478` Chr`17` : `45,013,271`	0.001	0.998	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.002	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs172642 lBF = `-0.00000294` Chr`17` : `6,595,398`	0.000	0.998	0.002
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.001	0.998	0.000
rs12150338 lBF = `0.00528098` Chr`17` : `1,634,104`	0.000	0.999	0.001
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.001
rs12937634 lBF = `15.2509` Chr`17` : `47,444,442`	0.001	0.999	0.000
rs143123127 lBF = `1.06585` Chr`17` : `38,007,190`	0.000	0.999	0.001
rs10512472 lBF = `0.450556` Chr`17` : `33,884,804`	0.000	0.999	0.001
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.001	0.999	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	0.999	0.001
rs34517613 lBF = `-0.0437338` Chr`17` : `26,610,252`	0.001	0.999	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.001	0.999	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.001	0.999	0.000
rs9303521 lBF = `1.38622` Chr`17` : `43,805,194`	0.000	0.999	0.001
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs16971217 lBF = `0.309071` Chr`17` : `33,944,055`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs728478 lBF = `-0.120974` Chr`17` : `57,466,504`	0.001	0.999	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.001	0.999	0.000
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
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
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
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
rs186171056 lBF = `0` Chr`17` : `59,606,089`	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
rs116284889 lBF = `0` Chr`17` : `56,316,722`	0.001	0.999	0.001
rs9904045 lBF = `0` Chr`17` : `64,051,726`	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
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
rs188757965 lBF = `0` Chr`17` : `41,119,569`	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
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.001	0.999	0.000
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs199498 lBF = `4.33325` Chr`17` : `44,865,603`	0.001	0.999	0.000
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.000	0.999	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.001	0.999	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.001	0.999	0.000
rs7218761 lBF = `0.0300051` Chr`17` : `11,693,587`	0.000	0.999	0.001
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.001	0.999	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.000	0.999	0.001
rs7207400 lBF = `5.06352` Chr`17` : `43,824,360`	0.001	0.999	0.000
rs199499 lBF = `3.08366` Chr`17` : `44,865,498`	0.001	0.999	0.000
rs4789693 lBF = `-0.0811928` Chr`17` : `80,421,870`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs4794665 lBF = `-0.0725634` Chr`17` : `54,850,329`	0.001	0.999	0.000
rs11651885 lBF = `3.4087` Chr`17` : `59,286,263`	0.000	0.999	0.001
rs820217 lBF = `-0.036926` Chr`17` : `73,688,294`	0.000	0.999	0.001
rs218676 lBF = `-0.0535661` Chr`17` : `6,607,018`	0.000	0.999	0.001
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.001	0.999	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.001	0.999	0.000
rs2732703 lBF = `4.25554` Chr`17` : `44,353,222`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.001	0.999	0.000
rs8074980 lBF = `-0.0445688` Chr`17` : `56,010,960`	0.000	0.999	0.001
rs1801689 lBF = `8.10652` Chr`17` : `64,210,580`	0.001	0.999	0.000
rs12602901 lBF = `0.123649` Chr`17` : `4,824,625`	0.001	0.999	0.000
rs9910950 lBF = `0.0559154` Chr`17` : `64,131,710`	0.001	0.999	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.001	0.999	0.000
Affx-13927227 lBF = `9.67428` Chr`17` : `43,922,942`	0.001	0.999	0.000
rs2586502 lBF = `0.14675` Chr`17` : `48,289,070`	0.001	0.999	0.000
rs72819126 lBF = `0.00245372` Chr`17` : `31,485,880`	0.000	0.999	0.001
rs2732614 lBF = `3.83853` Chr`17` : `44,364,209`	0.001	0.999	0.000
rs2074404 lBF = `1.63065` Chr`17` : `44,865,439`	0.001	0.999	0.000
rs7502947 lBF = `-0.0917576` Chr`17` : `57,229,716`	0.001	0.999	0.000
rs7219451 lBF = `0.00919412` Chr`17` : `38,957,002`	0.000	0.999	0.001
rs2659005 lBF = `-0.0444975` Chr`17` : `79,218,714`	0.001	0.999	0.000
Affx-13923073 lBF = `7.85999` Chr`17` : `43,663,247`	0.001	0.999	0.000
rs4794846 lBF = `6.03736` Chr`17` : `27,353,069`	0.001	0.999	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	0.999	0.001
rs12051548 lBF = `-0.0244854` Chr`17` : `4,683,035`	0.000	0.999	0.001
rs820218 lBF = `-0.0511756` Chr`17` : `73,687,495`	0.000	0.999	0.001
Affx-13930630 lBF = `9.70503` Chr`17` : `44,124,535`	0.001	0.999	0.000
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.000	0.999	0.001
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.000	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.000	0.999	0.000
rs9303525 lBF = `9.40295` Chr`17` : `44,187,257`	0.001	0.999	0.000
Affx-13930326 lBF = `8.9538` Chr`17` : `44,106,220`	0.001	0.999	0.000
Affx-13931249 lBF = `8.88038` Chr`17` : `44,157,597`	0.001	0.999	0.000
rs9913711 lBF = `4.72753` Chr`17` : `70,098,161`	0.000	0.999	0.001
rs11079160 lBF = `-0.0751658` Chr`17` : `53,404,725`	0.001	0.999	0.000
rs2190547 lBF = `-0.105046` Chr`17` : `68,929,435`	0.000	0.999	0.001
rs216196 lBF = `8.07442` Chr`17` : `2,202,943`	0.000	0.999	0.000
Affx-13924132 lBF = `8.03712` Chr`17` : `43,731,719`	0.001	0.999	0.000
rs17690703 lBF = `6.48207` Chr`17` : `43,925,297`	0.001	0.999	0.000
Affx-13927266 lBF = `6.05516` Chr`17` : `43,925,297`	0.001	0.999	0.000
rs199533 lBF = `4.38624` Chr`17` : `44,828,931`	0.001	0.999	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.000	0.999	0.000
rs11651483 lBF = `0.103712` Chr`17` : `12,777,402`	0.000	0.999	0.000
rs9900808 lBF = `-0.0107269` Chr`17` : `13,062,795`	0.001	0.999	0.000
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rs8067912 lBF = `0.79653` Chr`17` : `56,313,904`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs9901675 lBF = `0.192054` Chr`17` : `7,484,812`	0.000	1.000	0.000
rs150418526 lBF = `0.141922` Chr`17` : `36,853,840`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs57166100 lBF = `0.0869019` Chr`17` : `62,506,280`	0.000	1.000	0.000
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.000	1.000	0.000
rs2969180 lBF = `0.0546844` Chr`17` : `11,407,901`	0.000	1.000	0.000
rs9907236 lBF = `0.0129992` Chr`17` : `69,490,073`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	0.000	1.000	0.000
rs7215286 lBF = `-0.00518612` Chr`17` : `13,708,861`	0.000	1.000	0.000
rs7218361 lBF = `-0.0116146` Chr`17` : `37,725,404`	0.000	1.000	0.000
rs117364231 lBF = `-0.0135547` Chr`17` : `32,306,423`	0.000	1.000	0.000
rs7209395 lBF = `-0.0306572` Chr`17` : `64,133,726`	0.000	1.000	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	1.000	0.000
rs12453935 lBF = `-0.0882798` Chr`17` : `59,897,455`	0.000	1.000	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.000	1.000	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.000	1.000	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs4969049 lBF = `0.0997442` Chr`17` : `71,000,940`	0.000	1.000	0.000
rs7223966 lBF = `0.0594609` Chr`17` : `61,893,398`	0.000	1.000	0.000
rs12941150 lBF = `0.0516606` Chr`17` : `70,363,395`	0.000	1.000	0.000
rs747685 lBF = `0.0399184` Chr`17` : `775,051`	0.000	1.000	0.000
rs11078697 lBF = `0.0342872` Chr`17` : `7,469,229`	0.000	1.000	0.000
rs747687 lBF = `0.0261631` Chr`17` : `775,334`	0.000	1.000	0.000
rs140564516 lBF = `-0.002253` Chr`17` : `37,029,972`	0.000	1.000	0.000
rs11653545 lBF = `-0.0025595` Chr`17` : `7,512,074`	0.000	1.000	0.000
rs111854052 lBF = `-0.00608542` Chr`17` : `62,600,935`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs730547 lBF = `-0.0350368` Chr`17` : `33,112,106`	0.000	1.000	0.000
rs6503905 lBF = `-0.0482082` Chr`17` : `57,287,454`	0.000	1.000	0.000
rs11077614 lBF = `-0.112597` Chr`17` : `70,594,629`	0.000	1.000	0.000
rs4605213 lBF = `-0.113884` Chr`17` : `49,244,747`	0.000	1.000	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs11868441 lBF = `4.42506` Chr`17` : `59,239,221`	0.000	1.000	0.000
rs2517959 lBF = `4.33643` Chr`17` : `37,846,512`	0.000	1.000	0.000
rs9914266 lBF = `3.07775` Chr`17` : `2,133,250`	0.000	1.000	0.000
rs9303029 lBF = `2.05842` Chr`17` : `80,408,815`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.000	1.000	0.000
rs7212798 lBF = `0.544962` Chr`17` : `59,013,488`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs4986044 lBF = `0.0407517` Chr`17` : `21,261,560`	0.000	1.000	0.000
rs8081460 lBF = `0.0270756` Chr`17` : `8,965,272`	0.000	1.000	0.000
rs11654964 lBF = `0.0223935` Chr`17` : `32,989,538`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs71380849 lBF = `-0.00145541` Chr`17` : `72,975,748`	0.000	1.000	0.000
rs9899728 lBF = `-0.00597254` Chr`17` : `73,018,774`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	0.000	1.000	0.000
rs56176358 lBF = `-0.0224384` Chr`17` : `41,920,653`	0.000	1.000	0.000
rs10521233 lBF = `-0.0236424` Chr`17` : `13,559,080`	0.000	1.000	0.000
rs3892315 lBF = `-0.0406794` Chr`17` : `6,326,745`	0.000	1.000	0.000
rs11891 lBF = `-0.0494558` Chr`17` : `76,988,785`	0.000	1.000	0.000
rs7215564 lBF = `-0.052273` Chr`17` : `78,737,287`	0.000	1.000	0.000
rs1019238 lBF = `-0.0923717` Chr`17` : `54,278,715`	0.000	1.000	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.000	1.000	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.000	1.000	0.000
rs1008977 lBF = `9.74733` Chr`17` : `10,709,674`	0.000	1.000	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.000	1.000	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	1.000	0.000
rs1231206 lBF = `2.89602` Chr`17` : `2,125,605`	0.000	1.000	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	1.000	0.000
rs8077059 lBF = `2.05122` Chr`17` : `55,823,552`	0.000	1.000	0.000
rs75213074 lBF = `1.24058` Chr`17` : `5,612,640`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs77697917 lBF = `0.477247` Chr`17` : `41,840,849`	0.000	1.000	0.000
rs4789400 lBF = `0.313519` Chr`17` : `74,997,897`	0.000	1.000	0.000
rs6503659 lBF = `0.271348` Chr`17` : `39,897,264`	0.000	1.000	0.000
rs2074409 lBF = `0.184138` Chr`17` : `35,898,342`	0.000	1.000	0.000
rs12946454 lBF = `0.0866074` Chr`17` : `43,208,121`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs72863877 lBF = `0.0249748` Chr`17` : `68,206,397`	0.000	1.000	0.000
rs11867934 lBF = `0.0230859` Chr`17` : `16,933,404`	0.000	1.000	0.000
rs7226229 lBF = `0.0088149` Chr`17` : `20,924,077`	0.000	1.000	0.000
rs12936361 lBF = `0.00462479` Chr`17` : `68,108,417`	0.000	1.000	0.000
rs12602486 lBF = `0.00105779` Chr`17` : `42,241,929`	0.000	1.000	0.000
rs9912181 lBF = `-0.00769798` Chr`17` : `39,039,241`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs142849437 lBF = `-0.021715` Chr`17` : `71,714,039`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs1007190 lBF = `-0.0305717` Chr`17` : `43,038,209`	0.000	1.000	0.000
rs8075565 lBF = `-0.033674` Chr`17` : `6,288,146`	0.000	1.000	0.000
rs1975974 lBF = `-0.0615655` Chr`17` : `21,707,060`	0.000	1.000	0.000
rs9895232 lBF = `-0.0671079` Chr`17` : `4,519,139`	0.000	1.000	0.000
rs2429369 lBF = `-0.0778709` Chr`17` : `56,501,420`	0.000	1.000	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.000	1.000	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.000	1.000	0.000
Affx-13926329 lBF = `10.2155` Chr`17` : `43,861,117`	0.000	1.000	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
rs4065986 lBF = `6.82996` Chr`17` : `38,102,641`	0.000	1.000	0.000
Affx-13924069 lBF = `6.6182` Chr`17` : `43,726,659`	0.000	1.000	0.000
rs6503526 lBF = `6.21627` Chr`17` : `38,114,598`	0.000	1.000	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.000	1.000	0.000
rs2281727 lBF = `2.07378` Chr`17` : `2,117,945`	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 X0199

log Bayes Factor = 350.038

contains 3 variants

0.3642

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.3560

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2102

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1140

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9821

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9751

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9750

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9680

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9663

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9551

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9526

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9442

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9424

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9422

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9421

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9391

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9342

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9262

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9152

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9079

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8894

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8753

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8714

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8695

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8690

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8665

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8407

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8222

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8201

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8199

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8125

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8124

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8048

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8005

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7965

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7965

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7961

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7897

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7747

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7744

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7740

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7732

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7720

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7617

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7591

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7530

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7503

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7383

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7321

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7275

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7232

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7121

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6911

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6853

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6837

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6837

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6818

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6762

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6695

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6640

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6524

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6445

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6437

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6318

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6146

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6144

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6047

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5834

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5690

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5633

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5585

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5544

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5539

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5503

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5500

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5481

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5381

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5316

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5303

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5204

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5193

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5151

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5139

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5029

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4987

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4923

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4797

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4754

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4731

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4677

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4641

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4528

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4345

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4211

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4210

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4170

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4109

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3825

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3760

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3707

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3546

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3518

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3507

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3476

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3445

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3397

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3364

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3308

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3225

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3090

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3013

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2846

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2742

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2721

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2700

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2585

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2564

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2423

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2351

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2278

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2276

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2184

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2079

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1913

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1841

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1719

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1511

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1468

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1454

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1428

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1038

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0890

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0832

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0758

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0632

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0562

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`)