TreeWAS – [Z84.3] Family history of consanguinity

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
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.577	0.423	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.552	0.448	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.549	0.450	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.539	0.461	0.000
rs79549931 lBF = `22.7675` Chr`17` : `66,178,996`	0.514	0.486	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.514	0.486	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.514	0.486	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.514	0.486	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.514	0.486	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.513	0.487	0.000
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.513	0.487	0.000
rs117478093 lBF = `18.0142` Chr`17` : `6,027,422`	0.512	0.488	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.511	0.489	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.510	0.490	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.509	0.491	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.508	0.491	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.504	0.496	0.000
rs80301618 lBF = `14.6641` Chr`17` : `70,922,471`	0.502	0.497	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.498	0.501	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.492	0.508	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.457	0.542	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.447	0.553	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.443	0.557	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.432	0.567	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.424	0.576	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.399	0.600	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.385	0.615	0.000
rs8072843 lBF = `1.06281` Chr`17` : `54,638,948`	0.357	0.643	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.326	0.673	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.317	0.682	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.312	0.687	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.295	0.705	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.276	0.724	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.257	0.743	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.237	0.763	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.211	0.789	0.000
rs6258 lBF = `5.18323` Chr`17` : `7,534,678`	0.178	0.822	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.138	0.862	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.130	0.870	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.100	0.900	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.100	0.900	0.000
rs859267 lBF = `0.0856619` Chr`17` : `15,826,021`	0.000	0.910	0.090
rs147068743 lBF = `2.09018` Chr`17` : `1,363,475`	0.057	0.942	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.039	0.961	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.036	0.963	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.035	0.965	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.029	0.970	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.025	0.974	0.000
rs75493593 lBF = `2.71768` Chr`17` : `6,945,087`	0.025	0.975	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.024	0.976	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.024	0.976	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.023	0.976	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.018	0.982	0.000
rs75418188 lBF = `2.82841` Chr`17` : `6,945,483`	0.018	0.982	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.017	0.982	0.000
rs74986892 lBF = `9.97307` Chr`17` : `12,326,683`	0.016	0.983	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.016	0.984	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.015	0.984	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.015	0.985	0.000
rs12150130 lBF = `14.6179` Chr`17` : `14,117,282`	0.013	0.987	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.012	0.988	0.000
rs149464898 lBF = `0.0111314` Chr`17` : `78,947,333`	0.012	0.988	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	0.012	0.988	0.000
rs7211756 lBF = `2.27651` Chr`17` : `15,899,675`	0.011	0.989	0.000
rs186788172 lBF = `0.0152099` Chr`17` : `1,239,189`	0.008	0.991	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.007	0.993	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.007	0.993	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.004	0.995	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.004	0.996	0.000
rs76597414 lBF = `16.1863` Chr`17` : `72,191,445`	0.004	0.996	0.000
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.004	0.996	0.000
rs34145262 lBF = `0.00758998` Chr`17` : `32,880,882`	0.003	0.996	0.000
rs2233359 lBF = `23.4181` Chr`17` : `47,286,962`	0.004	0.996	0.000
rs79392787 lBF = `0.0415236` Chr`17` : `6,250,054`	0.003	0.996	0.000
rs34289250 lBF = `9.46458` Chr`17` : `59,880,646`	0.003	0.997	0.000
rs193042029 lBF = `0.233194` Chr`17` : `4,667,984`	0.001	0.997	0.002
rs143323161 lBF = `0.00353244` Chr`17` : `66,346,556`	0.003	0.997	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.003	0.997	0.000
rs17711010 lBF = `20.9663` Chr`17` : `47,485,962`	0.003	0.997	0.000
rs8081319 lBF = `0.0106304` Chr`17` : `35,731,081`	0.002	0.997	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.002	0.998	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.002	0.998	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	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
rs2070776 lBF = `-0.0513655` Chr`17` : `62,007,498`	0.000	0.998	0.002
rs2019216 lBF = `-0.0996054` Chr`17` : `21,909,650`	0.001	0.998	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.001	0.998	0.000
rs73989024 lBF = `0.00079784` Chr`17` : `48,009,469`	0.001	0.998	0.000
rs149001306 lBF = `0.011729` Chr`17` : `68,042,202`	0.000	0.999	0.001
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.001	0.999	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.001	0.999	0.000
rs117202297 lBF = `0.153791` Chr`17` : `53,769,035`	0.000	0.999	0.001
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.001	0.999	0.000
rs111816999 lBF = `0.159181` Chr`17` : `6,882,443`	0.001	0.999	0.000
rs781856 lBF = `0.0000959` Chr`17` : `3,950,224`	0.001	0.999	0.000
rs11651052 lBF = `28.1116` Chr`17` : `36,102,381`	0.000	0.999	0.001
rs12942547 lBF = `1.20322` Chr`17` : `40,527,544`	0.001	0.999	0.000
rs744166 lBF = `1.15684` Chr`17` : `40,514,201`	0.001	0.999	0.000
rs8064454 lBF = `28.4566` Chr`17` : `36,101,586`	0.000	0.999	0.001
rs9910816 lBF = `-0.00214457` Chr`17` : `66,344,703`	0.001	0.999	0.000
rs11263763 lBF = `28.9425` Chr`17` : `36,103,565`	0.000	0.999	0.001
rs73976923 lBF = `0.0340911` Chr`17` : `6,282,471`	0.000	0.999	0.001
rs16948200 lBF = `0.00011259` Chr`17` : `47,566,312`	0.001	0.999	0.000
rs3764419 lBF = `0.993552` Chr`17` : `29,164,023`	0.000	0.999	0.001
rs140385970 lBF = `0.00003247` Chr`17` : `59,560,349`	0.000	0.999	0.001
rs3760318 lBF = `0.910229` Chr`17` : `29,247,715`	0.000	0.999	0.001
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	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
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
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
rs78507937 lBF = `0` Chr`17` : `6,987,841`	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
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
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
rs333119 lBF = `-0.00010531` Chr`17` : `4,393,498`	0.000	0.999	0.000
rs10908278 lBF = `30.2505` Chr`17` : `36,099,952`	0.000	0.999	0.001
rs2378870 lBF = `-0.0356024` Chr`17` : `59,638,623`	0.000	0.999	0.001
rs9891119 lBF = `0.593579` Chr`17` : `40,507,980`	0.001	0.999	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.001	0.999	0.000
rs708382 lBF = `0.0582183` Chr`17` : `42,442,344`	0.001	0.999	0.000
rs2005705 lBF = `18.9001` Chr`17` : `36,096,300`	0.000	0.999	0.001
rs9217 lBF = `1.29032` Chr`17` : `7,363,088`	0.001	0.999	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.001	0.999	0.000
rs17662217 lBF = `-0.0338281` Chr`17` : `32,862,190`	0.000	0.999	0.001
rs7224438 lBF = `0.00992166` Chr`17` : `58,966,538`	0.001	0.999	0.000
rs2854160 lBF = `-0.0274931` Chr`17` : `61,977,248`	0.000	0.999	0.001
rs8071558 lBF = `4.46114` Chr`17` : `69,107,673`	0.001	0.999	0.000
rs17765344 lBF = `4.44954` Chr`17` : `69,106,874`	0.001	0.999	0.000
rs1859962 lBF = `4.17106` Chr`17` : `69,108,753`	0.001	0.999	0.000
rs2941509 lBF = `3.15758` Chr`17` : `37,921,194`	0.001	0.999	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.001	0.999	0.000
rs8076457 lBF = `-0.0365304` Chr`17` : `8,943,929`	0.000	0.999	0.001
rs79446318 lBF = `8.77806` Chr`17` : `74,612,692`	0.001	0.999	0.000
rs3785574 lBF = `-0.0197042` Chr`17` : `61,763,185`	0.001	0.999	0.000
rs7224000 lBF = `-0.0877636` Chr`17` : `65,410,934`	0.000	0.999	0.001
rs4790881 lBF = `11.4704` Chr`17` : `2,068,932`	0.001	0.999	0.000
rs4792814 lBF = `0.168162` Chr`17` : `43,403,005`	0.001	0.999	0.000
rs4791641 lBF = `0.0320253` Chr`17` : `8,161,149`	0.001	0.999	0.000
rs1380181 lBF = `-0.0707018` Chr`17` : `15,193,056`	0.001	0.999	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.001	0.999	0.000
rs111926416 lBF = `0.0311968` Chr`17` : `71,943,575`	0.001	0.999	0.000
rs4430796 lBF = `25.1458` Chr`17` : `36,098,040`	0.001	0.999	0.000
rs3744763 lBF = `8.02105` Chr`17` : `36,090,885`	0.001	0.999	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.000	0.999	0.000
rs4791774 lBF = `-0.0958877` Chr`17` : `8,932,119`	0.001	0.999	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.000	0.999	0.000
rs4793529 lBF = `4.52568` Chr`17` : `69,118,636`	0.001	0.999	0.000
rs12602300 lBF = `0.00022381` Chr`17` : `68,661,635`	0.000	0.999	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.000	0.999	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.000	0.999	0.000
rs6504218 lBF = `0.518288` Chr`17` : `62,408,299`	0.000	0.999	0.001
rs962888 lBF = `0.185428` Chr`17` : `43,059,071`	0.001	0.999	0.000
rs7214628 lBF = `-0.00332003` Chr`17` : `73,882,148`	0.001	0.999	0.000
rs12938916 lBF = `-0.0053992` Chr`17` : `55,866,287`	0.001	0.999	0.000
rs8076220 lBF = `-0.0438696` Chr`17` : `11,100,665`	0.001	0.999	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.001	0.999	0.000
rs11654749 lBF = `0.0239748` Chr`17` : `69,125,606`	0.001	0.999	0.000
rs17760296 lBF = `0.0781858` Chr`17` : `54,615,617`	0.000	0.999	0.000
rs17718586 lBF = `-0.0349253` Chr`17` : `68,644,189`	0.000	0.999	0.000
rs56364076 lBF = `-0.0536795` Chr`17` : `40,565,035`	0.000	0.999	0.000
rs2271316 lBF = `-0.0721074` Chr`17` : `6,915,401`	0.000	0.999	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.000	0.999	0.000
rs55634267 lBF = `6.28387` Chr`17` : `47,283,815`	0.000	0.999	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.000	0.999	0.000
rs12943829 lBF = `1.06626` Chr`17` : `70,826,404`	0.000	0.999	0.000
rs4640244 lBF = `0.109956` Chr`17` : `21,284,223`	0.000	0.999	0.000
rs8082590 lBF = `0.0572329` Chr`17` : `17,958,402`	0.000	0.999	0.000
rs3744028 lBF = `-0.00763126` Chr`17` : `73,888,672`	0.000	0.999	0.000
rs7501939 lBF = `23.6632` Chr`17` : `36,101,156`	0.000	0.999	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.000	0.999	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.000	0.999	0.000
rs8072599 lBF = `-0.0594913` Chr`17` : `80,242,123`	0.000	0.999	0.000
rs16948048 lBF = `28.5777` Chr`17` : `47,440,466`	0.000	0.999	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.000	0.999	0.000
rs3902025 lBF = `6.12351` Chr`17` : `38,119,254`	0.000	0.999	0.000
rs2079742 lBF = `0.0444277` Chr`17` : `59,465,697`	0.000	0.999	0.000
rs11653989 lBF = `-0.00309586` Chr`17` : `75,004,213`	0.000	0.999	0.000
rs2302190 lBF = `-0.0522082` Chr`17` : `56,584,508`	0.000	0.999	0.000
rs244293 lBF = `-0.0930749` Chr`17` : `53,230,722`	0.000	0.999	0.000
rs7405776 lBF = `13.8246` Chr`17` : `36,093,022`	0.000	0.999	0.000
rs17513268 lBF = `-0.0430459` Chr`17` : `59,323,043`	0.000	0.999	0.000
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rs149028778 lBF = `-0.00642595` Chr`17` : `38,851,261`	0.000	1.000	0.000
rs757210 lBF = `-0.00710616` Chr`17` : `36,096,515`	0.000	1.000	0.000
rs170149 lBF = `-0.0080491` Chr`17` : `6,595,930`	0.000	1.000	0.000
rs627386 lBF = `-0.0106689` Chr`17` : `47,290,795`	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
rs139471609 lBF = `-0.0135806` Chr`17` : `13,694,515`	0.000	1.000	0.000
rs117172443 lBF = `-0.0137883` Chr`17` : `71,713,116`	0.000	1.000	0.000
rs2006933 lBF = `-0.0142823` Chr`17` : `26,601,133`	0.000	1.000	0.000
rs72483203 lBF = `-0.0147964` Chr`17` : `30,463,885`	0.000	1.000	0.000
rs79211555 lBF = `-0.0160831` Chr`17` : `77,305,203`	0.000	1.000	0.000
rs12603284 lBF = `-0.0174122` Chr`17` : `2,771,512`	0.000	1.000	0.000
rs71377714 lBF = `-0.0182367` Chr`17` : `61,929,628`	0.000	1.000	0.000
rs34111070 lBF = `-0.0224477` Chr`17` : `61,794,198`	0.000	1.000	0.000
rs2906966 lBF = `-0.0232769` Chr`17` : `15,331,517`	0.000	1.000	0.000
rs35467001 lBF = `-0.0251195` Chr`17` : `71,380,062`	0.000	1.000	0.000
rs7215990 lBF = `-0.0278399` Chr`17` : `6,034,831`	0.000	1.000	0.000
rs12940923 lBF = `-0.0297521` Chr`17` : `56,369,849`	0.000	1.000	0.000
rs16975985 lBF = `-0.0301715` Chr`17` : `68,634,065`	0.000	1.000	0.000
rs8178822 lBF = `-0.0324868` Chr`17` : `64,225,529`	0.000	1.000	0.000
rs8178848 lBF = `-0.0327263` Chr`17` : `64,215,623`	0.000	1.000	0.000
rs4792143 lBF = `-0.0356226` Chr`17` : `11,385,890`	0.000	1.000	0.000
rs12950363 lBF = `-0.0380149` Chr`17` : `35,015,902`	0.000	1.000	0.000
rs16970672 lBF = `-0.0496285` Chr`17` : `75,944,650`	0.000	1.000	0.000
rs11651708 lBF = `-0.057113` Chr`17` : `64,517,313`	0.000	1.000	0.000
rs8067545 lBF = `-0.0580308` Chr`17` : `19,912,710`	0.000	1.000	0.000
rs2361701 lBF = `-0.0604955` Chr`17` : `78,066,617`	0.000	1.000	0.000
rs1467979 lBF = `-0.061557` Chr`17` : `78,060,743`	0.000	1.000	0.000
rs16951120 lBF = `-0.0695542` Chr`17` : `50,293,638`	0.000	1.000	0.000
rs6504950 lBF = `-0.0717123` Chr`17` : `53,056,471`	0.000	1.000	0.000
rs817565 lBF = `-0.0720185` Chr`17` : `67,432,385`	0.000	1.000	0.000
rs4646404 lBF = `-0.0761786` Chr`17` : `17,420,199`	0.000	1.000	0.000
rs2360111 lBF = `-0.113472` Chr`17` : `831,667`	0.000	1.000	0.000
rs6503782 lBF = `-0.115305` Chr`17` : `55,108,734`	0.000	1.000	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.000	1.000	0.000
rs12946510 lBF = `11.0629` Chr`17` : `37,912,377`	0.000	1.000	0.000
rs16968377 lBF = `9.38458` Chr`17` : `36,942,396`	0.000	1.000	0.000
rs12185233 lBF = `8.57671` Chr`17` : `43,923,654`	0.000	1.000	0.000
Affx-13927901 lBF = `8.14464` Chr`17` : `43,962,982`	0.000	1.000	0.000
rs117654928 lBF = `7.86182` Chr`17` : `72,690,643`	0.000	1.000	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.000	1.000	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.000	1.000	0.000
Affx-13924447 lBF = `7.64695` Chr`17` : `43,751,913`	0.000	1.000	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.000	1.000	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.000	1.000	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.000	1.000	0.000
rs5026246 lBF = `7.41668` Chr`17` : `43,572,896`	0.000	1.000	0.000
rs72831252 lBF = `7.09209` Chr`17` : `57,411,671`	0.000	1.000	0.000
Affx-13930511 lBF = `6.98871` Chr`17` : `44,118,848`	0.000	1.000	0.000
rs2760743 lBF = `6.55443` Chr`17` : `2,017,079`	0.000	1.000	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.000	1.000	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.000	1.000	0.000
rs17320971 lBF = `5.32299` Chr`17` : `40,546,917`	0.000	1.000	0.000
rs57157811 lBF = `5.20141` Chr`17` : `80,812,436`	0.000	1.000	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.000	1.000	0.000
rs216172 lBF = `2.7887` Chr`17` : `2,126,504`	0.000	1.000	0.000
rs11649743 lBF = `1.66786` Chr`17` : `36,074,979`	0.000	1.000	0.000
rs4523957 lBF = `1.52831` Chr`17` : `2,208,899`	0.000	1.000	0.000
rs7208487 lBF = `1.4986` Chr`17` : `37,543,449`	0.000	1.000	0.000
rs7218593 lBF = `1.29673` Chr`17` : `33,160,435`	0.000	1.000	0.000
rs11552708 lBF = `0.906484` Chr`17` : `7,462,555`	0.000	1.000	0.000
rs189798510 lBF = `0.707823` Chr`17` : `14,714,817`	0.000	1.000	0.000
rs79404002 lBF = `0.695367` Chr`17` : `4,697,255`	0.000	1.000	0.000
rs116908816 lBF = `0.615666` Chr`17` : `32,422,699`	0.000	1.000	0.000
rs117616209 lBF = `0.590956` Chr`17` : `7,142,851`	0.000	1.000	0.000
rs9906595 lBF = `0.476633` Chr`17` : `37,101,380`	0.000	1.000	0.000
rs9906155 lBF = `0.415996` Chr`17` : `75,701,697`	0.000	1.000	0.000
rs3751972 lBF = `0.408036` Chr`17` : `26,206,414`	0.000	1.000	0.000
rs899596 lBF = `0.353847` Chr`17` : `71,735,485`	0.000	1.000	0.000
rs2286672 lBF = `0.269317` Chr`17` : `4,712,617`	0.000	1.000	0.000
rs11655081 lBF = `0.266946` Chr`17` : `66,382,209`	0.000	1.000	0.000
rs10438797 lBF = `0.259573` Chr`17` : `27,491,862`	0.000	1.000	0.000
rs78461346 lBF = `0.178383` Chr`17` : `80,524,184`	0.000	1.000	0.000
rs17763769 lBF = `0.171511` Chr`17` : `68,560,789`	0.000	1.000	0.000
rs2005290 lBF = `0.17048` Chr`17` : `3,188,012`	0.000	1.000	0.000
rs6504340 lBF = `0.167877` Chr`17` : `46,617,019`	0.000	1.000	0.000
rs4889911 lBF = `0.139676` Chr`17` : `77,839,811`	0.000	1.000	0.000
rs9895098 lBF = `0.110668` Chr`17` : `2,938,533`	0.000	1.000	0.000
rs17826255 lBF = `0.0983324` Chr`17` : `29,333,516`	0.000	1.000	0.000
rs8076431 lBF = `0.0922139` Chr`17` : `11,250,219`	0.000	1.000	0.000
rs17780304 lBF = `0.0825355` Chr`17` : `30,535,856`	0.000	1.000	0.000
rs10521232 lBF = `0.0694156` Chr`17` : `13,539,804`	0.000	1.000	0.000
rs17607 lBF = `0.0671434` Chr`17` : `7,484,782`	0.000	1.000	0.000
rs10853057 lBF = `0.0653781` Chr`17` : `62,998,023`	0.000	1.000	0.000
rs76525880 lBF = `0.0528143` Chr`17` : `46,614,250`	0.000	1.000	0.000
rs6065 lBF = `0.0495717` Chr`17` : `4,836,381`	0.000	1.000	0.000
rs79480822 lBF = `0.049201` Chr`17` : `61,654,225`	0.000	1.000	0.000
rs74902201 lBF = `0.0425239` Chr`17` : `64,711,563`	0.000	1.000	0.000
rs8066384 lBF = `0.0412295` Chr`17` : `78,625,756`	0.000	1.000	0.000
rs11077773 lBF = `0.0277197` Chr`17` : `73,060,073`	0.000	1.000	0.000
rs72634030 lBF = `0.0270474` Chr`17` : `5,272,580`	0.000	1.000	0.000
rs3744728 lBF = `0.0269455` Chr`17` : `6,093,951`	0.000	1.000	0.000
rs79692461 lBF = `0.026522` Chr`17` : `53,294,772`	0.000	1.000	0.000
rs9895585 lBF = `0.0258866` Chr`17` : `42,064,987`	0.000	1.000	0.000
rs756766 lBF = `0.0188804` Chr`17` : `26,689,641`	0.000	1.000	0.000
rs7219585 lBF = `0.0129515` Chr`17` : `72,268,208`	0.000	1.000	0.000
rs17760268 lBF = `0.00781668` Chr`17` : `54,611,291`	0.000	1.000	0.000
rs2168858 lBF = `0.00642634` Chr`17` : `9,387,453`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.5140

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3663

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0925

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7102

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7033

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7018

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6986

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6982

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6933

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6738

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6723

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6706

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6654

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6648

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6592

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6490

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6430

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6421

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6412

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6387

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6377

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6342

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6287

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6236

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6235

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6166

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6153

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6146

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6144

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6078

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6075

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6061

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6044

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5996

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5992

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5968

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5950

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5950

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5943

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5926

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5926

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5923

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5915

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5905

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5891

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5890

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5879

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5873

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5865

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5859

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5780

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5775

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5728

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5725

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5725

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5697

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5687

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5655

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5648

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5646

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5642

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5619

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5601

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5569

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5543

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5529

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5525

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5520

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5508

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5493

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5489

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5480

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5480

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5456

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5440

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5438

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5413

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5386

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5377

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5367

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5359

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5328

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5275

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5259

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5206

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5145

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5140

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5140

Cluster X0081

log Bayes Factor = 278.568

contains 10 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 X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5140

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5140

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5140

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5140

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5140

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5140

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5140

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5140

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5140

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5140

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5140

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5140

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5140

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5136

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5075

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5026

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4987

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4959

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4885

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4831

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4755

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4401

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4358

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4296

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4202

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3578

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3398

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2691

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2657

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2483

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2354

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1783

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1695

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1555

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1442

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1235

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1188

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0910

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0895

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0868

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0750

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0644

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0584

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0553

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`)