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
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.536	0.463	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.514	0.486	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.514	0.486	0.000
rs117304354 lBF = `24.3339` Chr`20` : `51,221,332`	0.514	0.486	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.514	0.486	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.514	0.486	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.486	0.514
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.514	0.486	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.514	0.486	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.514	0.486	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.514	0.486	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.514	0.486	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.514	0.486	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.514	0.486	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.513	0.487	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.512	0.487	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.511	0.488	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.510	0.490	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.510	0.490	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.507	0.493	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.504	0.495	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.492	0.508	0.000
rs117041046 lBF = `5.66753` Chr`20` : `57,482,240`	0.491	0.509	0.000
rs35640778 lBF = `12.3899` Chr`20` : `62,321,128`	0.000	0.513	0.487
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.485	0.515	0.000
rs6092078 lBF = `2.23532` Chr`20` : `53,801,129`	0.482	0.518	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.461	0.538	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.459	0.540	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.436	0.564	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.421	0.579	0.000
rs117126031 lBF = `1.90706` Chr`20` : `48,058,863`	0.417	0.583	0.000
rs41529445 lBF = `4.72539` Chr`20` : `44,639,905`	0.402	0.598	0.000
rs117174279 lBF = `17.9206` Chr`20` : `56,213,350`	0.359	0.641	0.000
rs73149254 lBF = `18.3329` Chr`20` : `61,038,853`	0.340	0.660	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.334	0.665	0.000
rs182429428 lBF = `2.22854` Chr`20` : `11,908,010`	0.303	0.697	0.000
rs76195709 lBF = `18.1356` Chr`20` : `7,210,589`	0.292	0.708	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.277	0.723	0.000
rs6125048 lBF = `0.387971` Chr`20` : `46,208,605`	0.275	0.724	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.274	0.725	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.273	0.727	0.000
rs184757371 lBF = `1.32327` Chr`20` : `11,918,925`	0.253	0.747	0.000
rs151037173 lBF = `13.9074` Chr`20` : `3,089,900`	0.223	0.777	0.000
rs17382908 lBF = `15.0038` Chr`20` : `55,268,433`	0.222	0.778	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.182	0.818	0.000
rs6069919 lBF = `0.154124` Chr`20` : `55,455,709`	0.000	0.877	0.123
rs146594485 lBF = `0.437617` Chr`20` : `3,756,737`	0.098	0.902	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.093	0.907	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.089	0.911	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.089	0.911	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.073	0.927	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.059	0.941	0.000
rs188674761 lBF = `0.0741221` Chr`20` : `54,199,749`	0.054	0.946	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.033	0.966	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.031	0.969	0.000
rs56008485 lBF = `13.4354` Chr`20` : `60,141,354`	0.028	0.972	0.000
rs6050469 lBF = `0.0325114` Chr`20` : `2,575,369`	0.026	0.974	0.000
rs2273074 lBF = `0.0264314` Chr`20` : `6,751,089`	0.024	0.975	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.000	0.979	0.021
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.017	0.982	0.000
rs238670 lBF = `0.0209668` Chr`20` : `23,488,710`	0.015	0.984	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.015	0.985	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.010	0.990	0.000
rs6119286 lBF = `0.0640093` Chr`20` : `31,395,477`	0.009	0.991	0.000
rs7344105 lBF = `0.19009` Chr`20` : `25,225,945`	0.009	0.991	0.000
rs111281919 lBF = `0.273034` Chr`20` : `5,707,624`	0.009	0.991	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.008	0.992	0.000
rs11908000 lBF = `0.00684164` Chr`20` : `7,358,423`	0.008	0.992	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.007	0.993	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.006	0.993	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.006	0.994	0.000
rs6057648 lBF = `0.0426871` Chr`20` : `31,384,880`	0.006	0.994	0.000
rs6054973 lBF = `0.00418156` Chr`20` : `7,385,958`	0.005	0.995	0.000
rs117094540 lBF = `0.288967` Chr`20` : `57,270,664`	0.005	0.995	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.005	0.995	0.000
rs144394173 lBF = `0.0072738` Chr`20` : `47,124,954`	0.005	0.995	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.005	0.995	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.004	0.995	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.004	0.996	0.000
rs3176130 lBF = `0.00352433` Chr`20` : `23,031,656`	0.003	0.996	0.000
rs6041428 lBF = `0.015758` Chr`20` : `12,506,345`	0.000	0.997	0.003
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.003	0.997	0.000
rs13038031 lBF = `6.25751` Chr`20` : `40,610,196`	0.003	0.997	0.000
rs171165 lBF = `0.0532662` Chr`20` : `3,457,616`	0.003	0.997	0.000
rs1325765 lBF = `0.00263278` Chr`20` : `46,668,989`	0.002	0.997	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.002	0.997	0.000
rs150734585 lBF = `0.891043` Chr`20` : `59,908,263`	0.002	0.997	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.002	0.998	0.000
rs10485715 lBF = `0.00597345` Chr`20` : `7,259,925`	0.002	0.998	0.000
rs116896199 lBF = `0.00168509` Chr`20` : `60,106,873`	0.002	0.998	0.000
rs118174081 lBF = `0.0228977` Chr`20` : `51,778,123`	0.002	0.998	0.000
rs8115222 lBF = `0.00207195` Chr`20` : `34,865,240`	0.002	0.998	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.002	0.998	0.000
rs139222478 lBF = `0.017339` Chr`20` : `57,284,929`	0.001	0.999	0.000
rs8120917 lBF = `0.00083444` Chr`20` : `38,644,558`	0.001	0.999	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.001	0.999	0.000
rs112979036 lBF = `19.8277` Chr`20` : `24,258,641`	0.001	0.999	0.000
rs73625555 lBF = `0.00028614` Chr`20` : `54,191,219`	0.001	0.999	0.000
rs147525344 lBF = `0.00017084` Chr`20` : `23,743,040`	0.001	0.999	0.000
rs75727053 lBF = `0.00006874` Chr`20` : `36,824,720`	0.001	0.999	0.000
rs73584251 lBF = `0.00004246` Chr`20` : `1,401,491`	0.001	0.999	0.000
rs6100794 lBF = `0.00001125` Chr`20` : `58,799,036`	0.001	0.999	0.000
rs186485497 lBF = `0` Chr`20` : `57,457,342`	0.001	0.999	0.001
rs190821608 lBF = `0` Chr`20` : `16,280,310`	0.001	0.999	0.001
rs187535555 lBF = `0` Chr`20` : `3,821,163`	0.001	0.999	0.001
rs279720 lBF = `0` Chr`20` : `45,124,222`	0.001	0.999	0.001
rs115205687 lBF = `0` Chr`20` : `8,895,776`	0.001	0.999	0.001
rs74275091 lBF = `0` Chr`20` : `45,518,433`	0.001	0.999	0.001
rs147619472 lBF = `0` Chr`20` : `60,890,809`	0.001	0.999	0.001
rs11907106 lBF = `-0.00001184` Chr`20` : `12,082,642`	0.001	0.999	0.000
rs6046346 lBF = `-0.00001321` Chr`20` : `19,802,188`	0.001	0.999	0.000
rs191335472 lBF = `-0.00002611` Chr`20` : `2,042,352`	0.000	0.999	0.001
rs2224610 lBF = `-0.00027109` Chr`20` : `9,631,387`	0.001	0.999	0.000
rs187497509 lBF = `0.0037498` Chr`20` : `42,979,571`	0.000	0.999	0.001
rs147775533 lBF = `-0.00020918` Chr`20` : `48,999,495`	0.001	0.999	0.000
rs17123726 lBF = `0.0129767` Chr`20` : `31,447,368`	0.001	0.999	0.000
rs7270085 lBF = `0.0117432` Chr`20` : `31,437,607`	0.001	0.999	0.000
rs6036759 lBF = `-0.109938` Chr`20` : `2,491,209`	0.000	0.999	0.001
rs6021191 lBF = `-0.00012759` Chr`20` : `50,036,237`	0.001	0.999	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.001	0.999	0.000
rs8123073 lBF = `0.00793311` Chr`20` : `31,446,858`	0.001	0.999	0.000
rs2745761 lBF = `-0.00055091` Chr`20` : `8,277,943`	0.001	0.999	0.000
rs1293386 lBF = `-0.035461` Chr`20` : `51,797,353`	0.001	0.999	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.001	0.999	0.000
rs6057652 lBF = `0.00976216` Chr`20` : `31,419,809`	0.001	0.999	0.000
rs6057651 lBF = `0.00976216` Chr`20` : `31,410,337`	0.001	0.999	0.000
rs6057659 lBF = `0.00905626` Chr`20` : `31,445,147`	0.001	0.999	0.000
rs6052484 lBF = `1.2705` Chr`20` : `4,260,610`	0.000	0.999	0.001
rs6137473 lBF = `0.0723357` Chr`20` : `21,884,693`	0.001	0.999	0.000
rs231564 lBF = `11.8862` Chr`20` : `49,254,735`	0.000	0.999	0.000
rs1741344 lBF = `0.115455` Chr`20` : `4,101,800`	0.000	0.999	0.001
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.000	0.999	0.000
rs4815868 lBF = `-0.0577596` Chr`20` : `5,840,539`	0.000	0.999	0.001
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.000	0.999	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.000	0.999	0.000
rs2144134 lBF = `0.0925736` Chr`20` : `13,148,152`	0.001	0.999	0.000
rs6136813 lBF = `-0.0822954` Chr`20` : `19,674,218`	0.001	0.999	0.000
rs13038095 lBF = `-0.0471696` Chr`20` : `46,425,576`	0.001	0.999	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.000	0.999	0.000
rs4814176 lBF = `0.139184` Chr`20` : `12,959,398`	0.000	0.999	0.000
rs364585 lBF = `0.133376` Chr`20` : `12,962,718`	0.000	0.999	0.000
rs76507695 lBF = `0.0484977` Chr`20` : `57,356,051`	0.000	0.999	0.000
rs6071166 lBF = `-0.0188854` Chr`20` : `37,333,012`	0.000	0.999	0.000
rs965808 lBF = `-0.0162271` Chr`20` : `57,408,426`	0.000	0.999	0.000
rs1327235 lBF = `11.5922` Chr`20` : `10,969,030`	0.000	0.999	0.000
rs1887320 lBF = `10.7614` Chr`20` : `10,965,998`	0.000	0.999	0.000
rs4809370 lBF = `8.15462` Chr`20` : `62,470,872`	0.000	0.999	0.000
rs680379 lBF = `0.152008` Chr`20` : `12,969,400`	0.000	0.999	0.000
rs297755 lBF = `0.0130089` Chr`20` : `4,501,875`	0.000	0.999	0.000
rs1980946 lBF = `-0.00962511` Chr`20` : `48,344,311`	0.000	0.999	0.000
rs4811196 lBF = `-0.0461361` Chr`20` : `36,469,694`	0.000	0.999	0.000
rs6064045 lBF = `-0.0477969` Chr`20` : `52,701,293`	0.000	0.999	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.000	0.999	0.000
rs2276498 lBF = `0.495772` Chr`20` : `52,610,496`	0.000	0.999	0.000
rs2180439 lBF = `0.438863` Chr`20` : `21,853,100`	0.000	0.999	0.000
rs4812829 lBF = `0.27595` Chr`20` : `42,989,267`	0.000	0.999	0.000
rs6104691 lBF = `0.186417` Chr`20` : `10,996,911`	0.000	0.999	0.000
rs6110969 lBF = `0.0647183` Chr`20` : `16,197,510`	0.000	0.999	0.000
rs6025281 lBF = `-0.0436026` Chr`20` : `55,561,000`	0.000	0.999	0.000
rs6084875 lBF = `-0.0504959` Chr`20` : `4,742,705`	0.000	0.999	0.000
rs6138150 lBF = `-0.0787003` Chr`20` : `23,847,009`	0.000	0.999	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.000	0.999	0.000
rs1007458 lBF = `10.3983` Chr`20` : `22,587,676`	0.000	0.999	0.000
rs2207173 lBF = `1.8704` Chr`20` : `22,805,061`	0.000	0.999	0.000
rs6142618 lBF = `0.180564` Chr`20` : `30,725,648`	0.000	0.999	0.000
rs11697848 lBF = `0.0892561` Chr`20` : `48,575,315`	0.000	0.999	0.000
rs7273787 lBF = `-0.0341285` Chr`20` : `4,098,567`	0.000	0.999	0.000
rs2236176 lBF = `-0.0485044` Chr`20` : `21,081,488`	0.000	0.999	0.000
rs2208059 lBF = `-0.0615234` Chr`20` : `16,311,310`	0.000	0.999	0.000
rs2315656 lBF = `-0.0906018` Chr`20` : `62,418,337`	0.000	0.999	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.000	0.999	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.000	0.999	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.000	0.999	0.000
rs4925386 lBF = `15.667` Chr`20` : `60,921,044`	0.000	0.999	0.000
rs67611724 lBF = `5.33228` Chr`20` : `32,308,275`	0.000	0.999	0.000
rs6127471 lBF = `0.88988` Chr`20` : `36,844,038`	0.000	0.999	0.000
rs13043330 lBF = `0.00674976` Chr`20` : `3,756,597`	0.000	0.999	0.000
rs7352944 lBF = `-0.041945` Chr`20` : `48,632,610`	0.000	0.999	0.000
rs7263077 lBF = `-0.067404` Chr`20` : `41,234,578`	0.000	0.999	0.000
rs6065094 lBF = `-0.0708019` Chr`20` : `37,453,194`	0.000	0.999	0.000
rs4141463 lBF = `-0.101518` Chr`20` : `14,747,471`	0.000	0.999	0.000
rs6080100 lBF = `-0.113781` Chr`20` : `16,003,406`	0.000	0.999	0.000
rs11699160 lBF = `14.6736` Chr`20` : `60,958,651`	0.000	0.999	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.000	0.999	0.000
rs6062509 lBF = `2.59827` Chr`20` : `62,362,563`	0.000	0.999	0.000
rs6017235 lBF = `0.915693` Chr`20` : `42,620,592`	0.000	0.999	0.000
rs4243971 lBF = `0.641671` Chr`20` : `30,849,517`	0.000	0.999	0.000
rs6024905 lBF = `0.371404` Chr`20` : `36,957,837`	0.000	0.999	0.000
rs4811340 lBF = `0.16495` Chr`20` : `51,009,757`	0.000	0.999	0.000
rs17721822 lBF = `0.0115807` Chr`20` : `6,469,596`	0.000	0.999	0.000
rs183345681 lBF = `-0.0133899` Chr`20` : `61,992,700`	0.000	0.999	0.000
rs1413020 lBF = `-0.0145749` Chr`20` : `12,730,042`	0.000	0.999	0.000
rs4491792 lBF = `-0.0476587` Chr`20` : `16,740,825`	0.000	0.999	0.000
rs6065904 lBF = `-0.0786957` Chr`20` : `44,534,651`	0.000	0.999	0.000
rs944260 lBF = `-0.087217` Chr`20` : `60,243,411`	0.000	0.999	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.000	0.999	0.000
rs62185668 lBF = `5.73859` Chr`20` : `10,961,935`	0.000	0.999	0.000
rs6124878 lBF = `3.85459` Chr`20` : `45,497,723`	0.000	0.999	0.000
rs11906160 lBF = `2.57116` Chr`20` : `33,565,755`	0.000	0.999	0.000
rs6062504 lBF = `1.8324` Chr`20` : `62,348,907`	0.000	0.999	0.000
rs2315008 lBF = `1.81178` Chr`20` : `62,343,956`	0.000	0.999	0.000
rs4809330 lBF = `1.79195` Chr`20` : `62,349,586`	0.000	0.999	0.000
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rs1406961 lBF = `0.508594` Chr`20` : `61,895,920`	0.000	1.000	0.000
rs11906854 lBF = `0.460921` Chr`20` : `34,383,634`	0.000	1.000	0.000
rs78387210 lBF = `0.431337` Chr`20` : `47,823,441`	0.000	1.000	0.000
rs6042935 lBF = `0.406382` Chr`20` : `14,797,572`	0.000	1.000	0.000
rs6109680 lBF = `0.314481` Chr`20` : `13,046,591`	0.000	1.000	0.000
rs4809324 lBF = `0.234405` Chr`20` : `62,318,220`	0.000	1.000	0.000
rs6013915 lBF = `0.185354` Chr`20` : `52,810,377`	0.000	1.000	0.000
rs427230 lBF = `0.148983` Chr`20` : `62,155,111`	0.000	1.000	0.000
rs6080550 lBF = `0.148133` Chr`20` : `1,759,590`	0.000	1.000	0.000
rs12481680 lBF = `0.134` Chr`20` : `56,428,705`	0.000	1.000	0.000
rs16989303 lBF = `0.131312` Chr`20` : `4,169,079`	0.000	1.000	0.000
rs2273359 lBF = `0.125112` Chr`20` : `57,562,102`	0.000	1.000	0.000
rs6080212 lBF = `0.104464` Chr`20` : `16,277,630`	0.000	1.000	0.000
rs658495 lBF = `0.0934974` Chr`20` : `3,737,495`	0.000	1.000	0.000
rs6030171 lBF = `0.0876612` Chr`20` : `40,994,094`	0.000	1.000	0.000
rs1570669 lBF = `0.0758861` Chr`20` : `52,774,427`	0.000	1.000	0.000
rs7267421 lBF = `0.0625389` Chr`20` : `15,227,636`	0.000	1.000	0.000
rs6049375 lBF = `0.0618387` Chr`20` : `24,058,407`	0.000	1.000	0.000
rs7270101 lBF = `0.0537043` Chr`20` : `3,193,893`	0.000	1.000	0.000
rs6048216 lBF = `0.0425087` Chr`20` : `22,581,268`	0.000	1.000	0.000
rs201459901 lBF = `0.0406795` Chr`20` : `56,653,724`	0.000	1.000	0.000
rs204664 lBF = `0.0344481` Chr`20` : `532,805`	0.000	1.000	0.000
rs6016142 lBF = `0.0310057` Chr`20` : `38,300,807`	0.000	1.000	0.000
rs1010304 lBF = `0.0254383` Chr`20` : `40,101,647`	0.000	1.000	0.000
rs3761168 lBF = `0.0218755` Chr`20` : `8,865,718`	0.000	1.000	0.000
rs73084982 lBF = `0.0202311` Chr`20` : `3,411,053`	0.000	1.000	0.000
rs13042473 lBF = `0.0190139` Chr`20` : `41,409,901`	0.000	1.000	0.000
rs2072910 lBF = `0.0189078` Chr`20` : `9,365,303`	0.000	1.000	0.000
rs115299670 lBF = `0.0178638` Chr`20` : `39,584,711`	0.000	1.000	0.000
rs17791782 lBF = `0.0146662` Chr`20` : `17,566,069`	0.000	1.000	0.000
rs1127354 lBF = `0.0132189` Chr`20` : `3,193,842`	0.000	1.000	0.000
rs12625057 lBF = `0.012655` Chr`20` : `57,790,436`	0.000	1.000	0.000
rs2077147 lBF = `0.0125322` Chr`20` : `17,825,143`	0.000	1.000	0.000
rs6087771 lBF = `0.00596033` Chr`20` : `30,306,724`	0.000	1.000	0.000
rs6105057 lBF = `0.00519414` Chr`20` : `13,229,326`	0.000	1.000	0.000
rs10470013 lBF = `0.0023234` Chr`20` : `49,609,677`	0.000	1.000	0.000
rs6026990 lBF = `0.00185688` Chr`20` : `58,177,615`	0.000	1.000	0.000
rs6129846 lBF = `-0.0017234` Chr`20` : `40,107,314`	0.000	1.000	0.000
rs6139030 lBF = `-0.0024395` Chr`20` : `3,187,733`	0.000	1.000	0.000
rs4402823 lBF = `-0.00295026` Chr`20` : `47,089,525`	0.000	1.000	0.000
rs6048205 lBF = `-0.0034043` Chr`20` : `22,559,601`	0.000	1.000	0.000
rs8124695 lBF = `-0.00344771` Chr`20` : `39,028,436`	0.000	1.000	0.000
rs11697186 lBF = `-0.00429208` Chr`20` : `3,185,123`	0.000	1.000	0.000
rs113179280 lBF = `-0.00479606` Chr`20` : `11,577,305`	0.000	1.000	0.000
rs3890324 lBF = `-0.00538085` Chr`20` : `41,072,655`	0.000	1.000	0.000
rs35610040 lBF = `-0.0065854` Chr`20` : `23,616,469`	0.000	1.000	0.000
rs911119 lBF = `-0.0082142` Chr`20` : `23,612,737`	0.000	1.000	0.000
rs55797066 lBF = `-0.00886684` Chr`20` : `50,209,920`	0.000	1.000	0.000
rs4458264 lBF = `-0.0127124` Chr`20` : `47,089,537`	0.000	1.000	0.000
rs926392 lBF = `-0.0127618` Chr`20` : `37,690,464`	0.000	1.000	0.000
rs2745851 lBF = `-0.0147856` Chr`20` : `17,829,280`	0.000	1.000	0.000
rs6094710 lBF = `-0.0148637` Chr`20` : `46,095,649`	0.000	1.000	0.000
rs6069325 lBF = `-0.0153551` Chr`20` : `54,139,486`	0.000	1.000	0.000
rs6117615 lBF = `-0.0155089` Chr`20` : `759,315`	0.000	1.000	0.000
rs6081541 lBF = `-0.0206467` Chr`20` : `19,212,890`	0.000	1.000	0.000
rs73126576 lBF = `-0.0206716` Chr`20` : `38,590,329`	0.000	1.000	0.000
rs6050267 lBF = `-0.0211359` Chr`20` : `25,019,099`	0.000	1.000	0.000
rs6027072 lBF = `-0.0222178` Chr`20` : `37,284,070`	0.000	1.000	0.000
rs35829183 lBF = `-0.025036` Chr`20` : `20,044,759`	0.000	1.000	0.000
rs6042507 lBF = `-0.0271537` Chr`20` : `1,459,060`	0.000	1.000	0.000
rs4809847 lBF = `-0.0275072` Chr`20` : `50,108,320`	0.000	1.000	0.000
rs6107516 lBF = `-0.0279149` Chr`20` : `4,677,092`	0.000	1.000	0.000
rs6110577 lBF = `-0.0322145` Chr`20` : `15,335,754`	0.000	1.000	0.000
rs4815617 lBF = `-0.0351888` Chr`20` : `3,827,309`	0.000	1.000	0.000
rs2870137 lBF = `-0.0371776` Chr`20` : `38,685,541`	0.000	1.000	0.000
rs4812973 lBF = `-0.0379201` Chr`20` : `44,507,536`	0.000	1.000	0.000
rs2057291 lBF = `-0.038961` Chr`20` : `57,472,043`	0.000	1.000	0.000
rs16985452 lBF = `-0.0401319` Chr`20` : `60,265,853`	0.000	1.000	0.000
rs55734731 lBF = `-0.0410288` Chr`20` : `38,572,414`	0.000	1.000	0.000
rs927833 lBF = `-0.0415113` Chr`20` : `22,041,577`	0.000	1.000	0.000
rs1160312 lBF = `-0.0427852` Chr`20` : `22,050,503`	0.000	1.000	0.000
rs6129564 lBF = `-0.0430908` Chr`20` : `38,904,203`	0.000	1.000	0.000
rs6102059 lBF = `-0.0450916` Chr`20` : `39,228,784`	0.000	1.000	0.000
rs17723576 lBF = `-0.0475048` Chr`20` : `48,283,633`	0.000	1.000	0.000
rs6092477 lBF = `-0.0478855` Chr`20` : `55,991,695`	0.000	1.000	0.000
rs10485813 lBF = `-0.0491565` Chr`20` : `51,583,983`	0.000	1.000	0.000
rs10211700 lBF = `-0.0512334` Chr`20` : `12,463,297`	0.000	1.000	0.000
rs12480328 lBF = `-0.0539944` Chr`20` : `49,527,922`	0.000	1.000	0.000
rs13040824 lBF = `-0.054021` Chr`20` : `2,225,869`	0.000	1.000	0.000
rs6090583 lBF = `-0.0566955` Chr`20` : `45,558,831`	0.000	1.000	0.000
rs1884136 lBF = `-0.0594906` Chr`20` : `10,850,464`	0.000	1.000	0.000
rs6059101 lBF = `-0.0598342` Chr`20` : `31,718,653`	0.000	1.000	0.000
rs6052699 lBF = `-0.0601829` Chr`20` : `4,611,877`	0.000	1.000	0.000
rs6072091 lBF = `-0.0686652` Chr`20` : `39,292,074`	0.000	1.000	0.000
rs17725255 lBF = `-0.071588` Chr`20` : `18,079,131`	0.000	1.000	0.000
rs6030712 lBF = `-0.0770843` Chr`20` : `35,637,398`	0.000	1.000	0.000
rs6046396 lBF = `-0.0793566` Chr`20` : `19,852,503`	0.000	1.000	0.000
rs2235808 lBF = `-0.0858124` Chr`20` : `42,815,795`	0.000	1.000	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.000	1.000	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.000	1.000	0.000
rs6060043 lBF = `24.0784` Chr`20` : `33,364,584`	0.000	1.000	0.000
rs3787220 lBF = `23.8412` Chr`20` : `33,337,751`	0.000	1.000	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.000	1.000	0.000
rs1535067 lBF = `14.7922` Chr`20` : `8,607,333`	0.000	1.000	0.000
rs236720 lBF = `14.4396` Chr`20` : `57,702,611`	0.000	1.000	0.000
rs57627107 lBF = `14.2227` Chr`20` : `60,898,244`	0.000	1.000	0.000
rs6087685 lBF = `12.9938` Chr`20` : `33,777,612`	0.000	1.000	0.000
rs2236200 lBF = `11.5014` Chr`20` : `60,986,019`	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 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 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 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`)