TreeWAS – [Z84.8] Family history of other specified conditions

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
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.598	0.402	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.562	0.438	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.535	0.465	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.514	0.486	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.514	0.486	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.514	0.486	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.514	0.486	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.514	0.486	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.514	0.486	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.514	0.486	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.514	0.486	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.514	0.486	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.514	0.486	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.514	0.486	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.514	0.486	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.513	0.486	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.513	0.487	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.512	0.488	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.510	0.490	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.509	0.490	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.505	0.495	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.496	0.504	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.491	0.509	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.479	0.521	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.474	0.526	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.473	0.526	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.461	0.539	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.458	0.541	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.453	0.547	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.452	0.548	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.442	0.558	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.440	0.560	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.435	0.564	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.423	0.576	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.423	0.577	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.405	0.595	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.386	0.614	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.386	0.614	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.348	0.652	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.340	0.659	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.288	0.711	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.282	0.718	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.274	0.726	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.222	0.778	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.215	0.785	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.211	0.789	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.204	0.796	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.202	0.797	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.188	0.812	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.050	0.950	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.047	0.953	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.046	0.954	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.044	0.956	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.035	0.965	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.029	0.971	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.027	0.973	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.023	0.976	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.019	0.981	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.016	0.983	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.014	0.985	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.013	0.987	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.012	0.988	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.989	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.008	0.992	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.008	0.992	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.006	0.994	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.006	0.994	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.000	0.996	0.004
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.003	0.996	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.003	0.997	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.002	0.997	0.000
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	0.003	0.997	0.000
rs8027587 lBF = `-0.0443232` Chr`15` : `89,249,139`	0.000	0.998	0.002
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.998	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs4932194 lBF = `-0.0542618` Chr`15` : `89,245,239`	0.000	0.998	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.002	0.998	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	0.999	0.001
rs1549318 lBF = `-0.0675144` Chr`15` : `71,109,147`	0.000	0.999	0.001
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.001	0.999	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	0.000	0.999	0.001
rs809736 lBF = `-0.0350804` Chr`15` : `61,329,788`	0.001	0.999	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.000	0.999	0.001
rs1474256 lBF = `-0.0703279` Chr`15` : `79,463,847`	0.000	0.999	0.001
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.001	0.999	0.000
rs2627323 lBF = `6.78206` Chr`15` : `81,021,383`	0.001	0.999	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	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
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
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
rs8038108 lBF = `0` Chr`15` : `90,089,276`	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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	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
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
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
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
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	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
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.001	0.999	0.000
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	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
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	0.000	0.999	0.001
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.001	0.999	0.000
rs939658 lBF = `-0.0705366` Chr`15` : `79,451,869`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	0.999	0.001
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.001
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	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
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.001	0.999	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.001	0.999	0.000
rs4776970 lBF = `-0.0609272` Chr`15` : `68,080,886`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs2118405 lBF = `-0.00674688` Chr`15` : `96,975,868`	0.001	0.999	0.000
rs1455782 lBF = `-0.104629` Chr`15` : `93,050,966`	0.000	0.999	0.001
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.001	0.999	0.000
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.001	0.999	0.000
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.001	0.999	0.000
rs2229116 lBF = `-0.0968471` Chr`15` : `33,905,410`	0.001	0.999	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.001	0.999	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.001	0.999	0.000
rs79548680 lBF = `1.02884` Chr`15` : `91,505,779`	0.001	0.999	0.000
rs3867498 lBF = `0.0545376` Chr`15` : `25,078,787`	0.000	0.999	0.001
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	0.999	0.001
rs5742915 lBF = `-0.0740717` Chr`15` : `74,336,633`	0.000	0.999	0.001
rs11634397 lBF = `-0.082465` Chr`15` : `80,432,222`	0.000	0.999	0.001
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	0.999	0.001
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.000	0.999	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	0.999	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.001	0.999	0.000
rs4984406 lBF = `0.117383` Chr`15` : `95,268,494`	0.000	0.999	0.001
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.999	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.000	0.999	0.001
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.001	0.999	0.000
rs4218 lBF = `0.0590071` Chr`15` : `59,428,658`	0.001	0.999	0.000
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	0.999	0.001
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.001	0.999	0.000
rs281302 lBF = `-0.0933521` Chr`15` : `47,686,662`	0.000	0.999	0.001
rs17541406 lBF = `-0.0948821` Chr`15` : `93,889,459`	0.001	0.999	0.000
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rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	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
rs61524473 lBF = `-0.0299072` Chr`15` : `45,646,283`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs1153858 lBF = `-0.0380403` Chr`15` : `45,652,703`	0.000	1.000	0.000
rs74874915 lBF = `-0.0431296` Chr`15` : `91,387,379`	0.000	1.000	0.000
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	1.000	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	1.000	0.000
rs4932370 lBF = `40.05` Chr`15` : `91,404,705`	0.000	1.000	0.000
rs12592111 lBF = `20.7266` Chr`15` : `78,767,346`	0.000	1.000	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.000	1.000	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.000	1.000	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.000	1.000	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	1.000	0.000
rs12900463 lBF = `0.519679` Chr`15` : `85,415,386`	0.000	1.000	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.000	1.000	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	1.000	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	1.000	0.000
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs1077835 lBF = `-0.0112113` Chr`15` : `58,723,426`	0.000	1.000	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs2070895 lBF = `-0.0197178` Chr`15` : `58,723,939`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12441227 lBF = `-0.0289421` Chr`15` : `71,696,886`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs7172342 lBF = `-0.0359209` Chr`15` : `61,336,442`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs17302400 lBF = `-0.0499626` Chr`15` : `59,824,987`	0.000	1.000	0.000
rs903552 lBF = `-0.0690267` Chr`15` : `101,997,991`	0.000	1.000	0.000
rs1436955 lBF = `-0.0710419` Chr`15` : `62,404,382`	0.000	1.000	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs12591452 lBF = `11.8657` Chr`15` : `49,273,619`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	1.000	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.000	1.000	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs12232346 lBF = `0.273072` Chr`15` : `35,060,463`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs17819300 lBF = `0.0898622` Chr`15` : `56,210,929`	0.000	1.000	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	1.000	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs746265 lBF = `0.018784` Chr`15` : `39,576,560`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	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
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	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
rs587847 lBF = `-0.0314841` Chr`15` : `37,660,049`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	1.000	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	1.000	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.000	1.000	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.000	1.000	0.000
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.000	1.000	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.000	1.000	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.000	1.000	0.000
rs17294280 lBF = `9.90458` Chr`15` : `67,468,285`	0.000	1.000	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.000	1.000	0.000
rs72717656 lBF = `8.36591` Chr`15` : `33,094,860`	0.000	1.000	0.000
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.000	1.000	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.000	1.000	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	1.000	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	1.000	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs2257011 lBF = `0.438631` Chr`15` : `84,266,145`	0.000	1.000	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	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

0.0831

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9841

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9573

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9564

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9553

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9513

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9435

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8969

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8934

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8838

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8624

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8374

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8230

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8224

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8187

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8127

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8019

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7939

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7887

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7766

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7762

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7737

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7620

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7599

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7587

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7549

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7445

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7388

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7380

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7348

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7305

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7191

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7180

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7125

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7121

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7082

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7080

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7063

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7024

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7022

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7016

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6998

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6939

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6938

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6876

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6863

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6746

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6672

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6666

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6665

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6549

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6542

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6475

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6375

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6357

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6351

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6342

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6288

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6244

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6168

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6104

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6072

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6063

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6051

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6051

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6001

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5986

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5955

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5954

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5901

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5884

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5859

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5853

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5730

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5707

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5664

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5660

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5510

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5464

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5426

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5354

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5298

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5214

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5151

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 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 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

0.5129

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5026

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4831

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4777

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4755

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4707

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4622

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4531

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4408

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.3973

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 X0052

log Bayes Factor = 654.387

contains 25 variants

0.2372

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2354

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2342

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2204

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2076

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1969

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1819

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1710

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1292

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1290

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1057

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1005

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0999

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0981

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0774

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0770

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0596

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`)