TreeWAS – [K26.4] Chronic or unspecified with haemorrhage

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
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.811	0.189	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.671	0.329	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.667	0.333	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.642	0.358	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.630	0.370	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.542	0.458	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.539	0.460	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.483	0.517	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.480	0.520	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.458	0.541	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.442	0.558	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.413	0.586	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.403	0.597	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.394	0.606	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.376	0.623	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.371	0.629	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.353	0.647	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.344	0.656	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.290	0.710	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.290	0.710	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.288	0.712	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.285	0.715	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.278	0.721	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.277	0.722	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.268	0.731	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.268	0.732	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.266	0.734	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.263	0.737	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.257	0.743	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.251	0.748	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.240	0.760	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.239	0.761	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.234	0.766	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.213	0.786	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.190	0.810	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.164	0.836	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.156	0.844	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.133	0.867	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.098	0.902	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.094	0.906	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.091	0.909	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.090	0.909	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.090	0.910	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.076	0.924	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.066	0.934	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.066	0.934	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.064	0.936	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.054	0.946	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.048	0.952	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.046	0.954	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.043	0.957	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.033	0.967	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.030	0.970	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.025	0.974	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.025	0.974	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.019	0.981	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.019	0.981	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.017	0.983	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.016	0.984	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.015	0.985	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.014	0.985	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.013	0.987	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.012	0.987	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.989	0.011
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.009	0.991	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.008	0.992	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.008	0.992	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.008	0.992	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.000	0.992	0.008
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.007	0.993	0.000
rs12915845 lBF = `0.271243` Chr`15` : `89,042,467`	0.000	0.993	0.007
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.007	0.993	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.006	0.994	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.006	0.994	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.005	0.995	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.004	0.996	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.003	0.996	0.001
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.003	0.997	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.003	0.997	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.003	0.997	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.003	0.997	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.003	0.997	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.003	0.997	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.003	0.997	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.002	0.998	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.002	0.998	0.000
rs8040855 lBF = `-0.108369` Chr`15` : `85,699,207`	0.002	0.998	0.000
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.002	0.998	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.002	0.998	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.002	0.998	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.001	0.998	0.000
rs12913538 lBF = `-0.00548122` Chr`15` : `62,899,160`	0.000	0.998	0.002
rs11070836 lBF = `-0.10928` Chr`15` : `51,436,397`	0.000	0.998	0.002
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.002	0.998	0.000
rs11858159 lBF = `-0.106762` Chr`15` : `24,824,188`	0.000	0.998	0.002
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.001	0.998	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.998	0.000
rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	0.002	0.998	0.000
rs1104918 lBF = `-0.0484154` Chr`15` : `88,723,712`	0.000	0.998	0.002
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.001	0.998	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.001	0.999	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.999	0.001
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.001	0.999	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.001	0.999	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.001	0.999	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.000	0.999	0.001
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.001	0.999	0.000
rs951985 lBF = `28.7452` Chr`15` : `78,720,923`	0.001	0.999	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.999	0.001
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.001	0.999	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.001	0.999	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.001	0.999	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.001	0.999	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.001	0.999	0.000
rs72738718 lBF = `27.0339` Chr`15` : `78,735,438`	0.001	0.999	0.000
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.001	0.999	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.000	0.999	0.001
rs55983731 lBF = `27.0981` Chr`15` : `78,735,269`	0.001	0.999	0.000
rs17483721 lBF = `26.7496` Chr`15` : `78,733,731`	0.001	0.999	0.000
rs17483686 lBF = `26.6681` Chr`15` : `78,733,390`	0.001	0.999	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.001	0.999	0.000
rs7181486 lBF = `27.5074` Chr`15` : `78,741,618`	0.001	0.999	0.000
rs17483929 lBF = `27.504` Chr`15` : `78,742,376`	0.001	0.999	0.000
rs56219465 lBF = `27.4857` Chr`15` : `78,742,579`	0.001	0.999	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.001	0.999	0.000
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.000	0.999	0.001
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.001	0.999	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.001	0.999	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.001	0.999	0.000
rs72738736 lBF = `27.4686` Chr`15` : `78,765,122`	0.001	0.999	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.001	0.999	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.001	0.999	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.000	0.999	0.001
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.001	0.999	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.001	0.999	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.000	0.999	0.001
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.001	0.999	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.001	0.999	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.001	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.001	0.999	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.001	0.999	0.000
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	0.999	0.001
rs146125856 lBF = `12.7409` Chr`15` : `50,784,990`	0.001	0.999	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	0.999	0.001
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.001	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.000	0.999	0.001
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.001	0.999	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	0.999	0.001
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.001	0.999	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.001	0.999	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.001	0.999	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.001	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.000	0.999	0.001
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.001	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.001	0.999	0.000
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.001	0.999	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
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rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs1897031 lBF = `-0.0132897` Chr`15` : `54,341,465`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	1.000	0.000
rs1455782 lBF = `-0.104629` Chr`15` : `93,050,966`	0.000	1.000	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.000	1.000	0.000
rs34895054 lBF = `13.0594` Chr`15` : `49,285,001`	0.000	1.000	0.000
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	1.000	0.000
rs12913260 lBF = `12.0735` Chr`15` : `79,071,095`	0.000	1.000	0.000
rs35474770 lBF = `11.4403` Chr`15` : `79,074,000`	0.000	1.000	0.000
rs36061084 lBF = `11.3186` Chr`15` : `79,074,253`	0.000	1.000	0.000
rs2568485 lBF = `11.2894` Chr`15` : `78,752,114`	0.000	1.000	0.000
rs2938671 lBF = `11.1176` Chr`15` : `78,732,754`	0.000	1.000	0.000
rs924840 lBF = `11.0346` Chr`15` : `78,731,808`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs2568483 lBF = `10.989` Chr`15` : `78,752,343`	0.000	1.000	0.000
rs2656070 lBF = `10.9751` Chr`15` : `78,730,252`	0.000	1.000	0.000
rs2568488 lBF = `10.9602` Chr`15` : `78,736,593`	0.000	1.000	0.000
rs2568493 lBF = `10.9512` Chr`15` : `78,740,233`	0.000	1.000	0.000
rs2568490 lBF = `10.9291` Chr`15` : `78,738,370`	0.000	1.000	0.000
rs2915695 lBF = `10.927` Chr`15` : `78,739,471`	0.000	1.000	0.000
rs2656069 lBF = `10.9258` Chr`15` : `78,745,707`	0.000	1.000	0.000
rs2656071 lBF = `10.9174` Chr`15` : `78,745,343`	0.000	1.000	0.000
rs2958719 lBF = `10.9043` Chr`15` : `78,743,029`	0.000	1.000	0.000
rs2656073 lBF = `10.8682` Chr`15` : `78,742,276`	0.000	1.000	0.000
rs2656072 lBF = `10.8529` Chr`15` : `78,744,292`	0.000	1.000	0.000
rs2036529 lBF = `10.5537` Chr`15` : `78,726,272`	0.000	1.000	0.000
rs2656056 lBF = `10.2112` Chr`15` : `78,722,519`	0.000	1.000	0.000
rs2568499 lBF = `10.2112` Chr`15` : `78,722,359`	0.000	1.000	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs2656055 lBF = `10.0344` Chr`15` : `78,720,194`	0.000	1.000	0.000
rs2568497 lBF = `9.97824` Chr`15` : `78,721,397`	0.000	1.000	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	1.000	0.000
rs7174190 lBF = `9.73367` Chr`15` : `78,763,617`	0.000	1.000	0.000
rs28480606 lBF = `9.70409` Chr`15` : `78,762,313`	0.000	1.000	0.000
rs2869045 lBF = `9.17967` Chr`15` : `78,718,899`	0.000	1.000	0.000
rs2869032 lBF = `8.80467` Chr`15` : `78,714,561`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs1258763 lBF = `3.60508` Chr`15` : `33,050,423`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs7170668 lBF = `-0.0260738` Chr`15` : `96,014,143`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	1.000	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	1.000	0.000
rs4887109 lBF = `10.7029` Chr`15` : `79,074,294`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	1.000	0.000
rs958025 lBF = `9.05584` Chr`15` : `78,759,348`	0.000	1.000	0.000
rs4887053 lBF = `8.75008` Chr`15` : `78,712,699`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	1.000	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs4886590 lBF = `10.9795` Chr`15` : `79,074,506`	0.000	1.000	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	1.000	0.000
rs1994016 lBF = `10.7289` Chr`15` : `79,080,234`	0.000	1.000	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	1.000	0.000
rs8028313 lBF = `0.549074` Chr`15` : `68,043,057`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	1.000	0.000
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	1.000	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	1.000	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	1.000	0.000
rs11638981 lBF = `12.2249` Chr`15` : `49,321,529`	0.000	1.000	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	1.000	0.000
rs28438860 lBF = `9.95889` Chr`15` : `38,858,062`	0.000	1.000	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.9061

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.7792

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7460

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9970

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9757

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9455

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9411

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9302

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9073

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8783

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8620

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8437

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8409

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8315

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8134

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8111

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7891

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7708

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7631

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7537

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7036

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7028

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6925

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6862

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6611

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6577

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6542

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6186

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6160

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6159

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6157

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6090

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5639

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5557

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5076

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4552

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4486

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4164

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4070

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4025

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3911

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3875

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3692

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3604

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3600

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3552

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3502

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3274

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2879

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2790

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2389

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2279

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2141

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1897

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1758

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1560

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1239

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1234

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1194

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1178

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1081

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1052

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0834

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0561

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0558

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0520

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`)