TreeWAS – [K27.0] Acute 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
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.564	0.436	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.523	0.477	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.521	0.479	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.519	0.481	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.510	0.490	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.494	0.506	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.493	0.507	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.475	0.525	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.469	0.531	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.454	0.545	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.448	0.552	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.440	0.560	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.438	0.562	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.436	0.564	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.419	0.581	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.396	0.604	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.380	0.619	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.376	0.623	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.367	0.633	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.362	0.638	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`	0.329	0.671	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.329	0.671	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.303	0.696	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.286	0.714	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.280	0.720	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.271	0.729	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.258	0.742	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.257	0.743	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.251	0.749	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.242	0.758	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.238	0.761	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.231	0.769	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.222	0.778	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.208	0.791	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.207	0.793	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.189	0.811	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.140	0.860	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.140	0.860	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.139	0.861	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.137	0.862	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.118	0.881	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.098	0.902	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.080	0.920	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.068	0.931	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.066	0.934	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.061	0.939	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.055	0.945	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.044	0.956	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.043	0.957	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.039	0.961	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.038	0.961	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.036	0.964	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.033	0.966	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.031	0.969	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.021	0.979	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.021	0.979	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.018	0.982	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.016	0.983	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.016	0.983	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.012	0.987	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.012	0.987	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.988	0.012
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.009	0.990	0.000
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
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.008	0.992	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.008	0.992	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.008	0.992	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.007	0.993	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.006	0.994	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.006	0.994	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.006	0.994	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.005	0.994	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.005	0.995	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.005	0.995	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.004	0.995	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.004	0.995	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
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.003	0.996	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.003	0.997	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.003	0.997	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.003	0.997	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	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
rs2125623 lBF = `0.148037` Chr`15` : `31,829,707`	0.000	0.997	0.002
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.998	0.002
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.002	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.002	0.998	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	0.998	0.002
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs35343117 lBF = `2.22504` Chr`15` : `86,079,115`	0.000	0.998	0.002
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.002	0.998	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.998	0.002
rs964611 lBF = `0.0418836` Chr`15` : `48,597,514`	0.000	0.998	0.002
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.002	0.998	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.001	0.998	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.002	0.998	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.001	0.998	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.001	0.999	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs1383484 lBF = `0.00814461` Chr`15` : `84,522,755`	0.000	0.999	0.001
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.001	0.999	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.001	0.999	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.001	0.999	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs1436958 lBF = `-0.133002` Chr`15` : `62,338,797`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.001	0.999	0.000
rs4776472 lBF = `0.111489` Chr`15` : `70,006,873`	0.000	0.999	0.001
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
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
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
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
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
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	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
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
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.001	0.999	0.000
rs7166783 lBF = `5.49465` Chr`15` : `84,161,111`	0.001	0.999	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.001	0.999	0.000
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.001	0.999	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.001	0.999	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.001	0.999	0.000
rs11856574 lBF = `-0.0284494` Chr`15` : `29,731,444`	0.001	0.999	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.001	0.999	0.000
rs7172677 lBF = `-0.00712931` Chr`15` : `75,424,593`	0.000	0.999	0.001
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.001	0.999	0.000
rs12595305 lBF = `-0.0891017` Chr`15` : `89,899,624`	0.000	0.999	0.001
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs1549318 lBF = `-0.0675144` Chr`15` : `71,109,147`	0.001	0.999	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.000	0.999	0.001
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.001	0.999	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.001	0.999	0.000
rs8032675 lBF = `-0.0863382` Chr`15` : `67,959,464`	0.000	0.999	0.001
rs997295 lBF = `-0.0911978` Chr`15` : `68,016,343`	0.000	0.999	0.001
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.001	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.000	0.999	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	0.001	0.999	0.000
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.001	0.999	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	0.999	0.001
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.000	0.999	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	0.999	0.001
rs3815003 lBF = `-0.10576` Chr`15` : `91,312,823`	0.001	0.999	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	0.999	0.001
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.001	0.999	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.001	0.999	0.000
rs793571 lBF = `0.187336` Chr`15` : `59,141,706`	0.001	0.999	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.001	0.999	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	0.999	0.001
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
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rs12913832 lBF = `5.18673` Chr`15` : `28,365,618`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs11857532 lBF = `3.34895` Chr`15` : `78,968,268`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs8026898 lBF = `1.47737` Chr`15` : `69,991,417`	0.000	1.000	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs11543198 lBF = `0.301807` Chr`15` : `74,912,328`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs16948098 lBF = `0.066442` Chr`15` : `44,219,607`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.000	1.000	0.000
rs184234 lBF = `0.0529052` Chr`15` : `101,251,719`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs8033195 lBF = `0.010868` Chr`15` : `94,872,686`	0.000	1.000	0.000
rs12185079 lBF = `0.00552748` Chr`15` : `100,271,253`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs12913538 lBF = `-0.00548122` Chr`15` : `62,899,160`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.000	1.000	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.000	1.000	0.000
rs12592967 lBF = `-0.0836139` Chr`15` : `61,870,943`	0.000	1.000	0.000
rs1442779 lBF = `-0.0836916` Chr`15` : `71,576,755`	0.000	1.000	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	1.000	0.000
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs7176070 lBF = `16.0891` Chr`15` : `79,033,489`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	1.000	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	1.000	0.000
rs11072785 lBF = `11.9144` Chr`15` : `78,968,229`	0.000	1.000	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	1.000	0.000
rs6495314 lBF = `11.5014` Chr`15` : `78,960,529`	0.000	1.000	0.000
rs4886579 lBF = `11.3251` Chr`15` : `78,969,256`	0.000	1.000	0.000
rs4886580 lBF = `11.1907` Chr`15` : `78,969,385`	0.000	1.000	0.000
rs11638830 lBF = `10.8043` Chr`15` : `78,948,319`	0.000	1.000	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	1.000	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	1.000	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.000	1.000	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.000	1.000	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.000	1.000	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.000	1.000	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.000	1.000	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	1.000	0.000
rs2412459 lBF = `-0.0112714` Chr`15` : `40,295,959`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs1258767 lBF = `-0.0148593` Chr`15` : `33,126,454`	0.000	1.000	0.000
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	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

0.5832

Cluster X0318

log Bayes Factor = 44.5459

contains 2 variants

0.3872

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6974

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6946

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6914

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6899

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6560

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6528

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6512

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6305

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6242

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6195

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6193

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6193

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6083

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5811

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5745

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5658

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5562

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5486

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5445

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5375

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5277

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5256

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5093

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5056

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4986

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4985

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4914

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4747

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4675

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4549

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4423

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3917

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3884

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3773

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3522

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.3479

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3430

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3241

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3095

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3059

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3026

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2833

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2821

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2723

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2569

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.2431

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.2430

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2381

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2181

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2039

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1563

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1544

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1455

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1418

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1350

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1329

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1226

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1199

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0889

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0768

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0690

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0631

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0606

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0552

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0523

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`)