TreeWAS – [Z93.8] Other artificial opening status

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
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.703	0.297	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.700	0.300	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.696	0.303	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.676	0.323	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.671	0.329	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.669	0.331	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.666	0.333	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.640	0.360	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.635	0.365	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.631	0.369	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.629	0.371	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.613	0.387	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.600	0.400	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.595	0.405	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.573	0.427	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.573	0.427	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.557	0.442	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.550	0.450	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.548	0.452	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.542	0.458	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.534	0.466	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.532	0.467	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.531	0.469	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.514	0.486	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.498	0.501	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.449	0.551	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.448	0.552	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.432	0.568	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.431	0.569	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.429	0.570	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.422	0.577	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.404	0.596	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.382	0.618	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.367	0.633	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.353	0.647	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.326	0.674	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.320	0.680	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.310	0.690	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.268	0.732	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.267	0.733	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.242	0.758	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.241	0.759	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.239	0.761	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.233	0.767	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.222	0.778	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.199	0.801	0.001
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.194	0.806	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.119	0.881	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.085	0.915	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.052	0.948	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.046	0.954	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.039	0.961	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.034	0.966	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.034	0.966	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.030	0.969	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.028	0.972	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.021	0.979	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.019	0.981	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.018	0.982	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.018	0.982	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`	0.016	0.984	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.014	0.986	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.011	0.989	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.010	0.990	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.010	0.990	0.000
rs8039449 lBF = `31.2562` Chr`15` : `78,914,534`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs55958997 lBF = `29.1415` Chr`15` : `78,915,872`	0.009	0.991	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.008	0.992	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.008	0.992	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.007	0.992	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.007	0.993	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.006	0.994	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.005	0.995	0.000
rs10468092 lBF = `0.321717` Chr`15` : `38,434,891`	0.000	0.995	0.005
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.004	0.996	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.004	0.996	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs10851907 lBF = `34.54` Chr`15` : `78,915,864`	0.003	0.997	0.000
rs8040855 lBF = `-0.108369` Chr`15` : `85,699,207`	0.000	0.997	0.003
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.003	0.997	0.000
rs55781567 lBF = `35.7647` Chr`15` : `78,857,986`	0.003	0.997	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.003	0.997	0.000
rs4243084 lBF = `33.5439` Chr`15` : `78,911,672`	0.003	0.997	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.003	0.997	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.003	0.997	0.000
rs12101726 lBF = `0.434619` Chr`15` : `94,581,942`	0.003	0.997	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs951266 lBF = `34.0189` Chr`15` : `78,878,541`	0.003	0.997	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.003	0.997	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.003	0.997	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.003	0.997	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.003	0.997	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.002	0.998	0.000
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
rs7180002 lBF = `32.6488` Chr`15` : `78,873,993`	0.002	0.998	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.002	0.998	0.000
rs8040868 lBF = `34.6813` Chr`15` : `78,911,181`	0.002	0.998	0.000
rs7172118 lBF = `33.7853` Chr`15` : `78,862,453`	0.002	0.998	0.000
rs140330585 lBF = `34.1551` Chr`15` : `78,866,445`	0.002	0.998	0.000
rs1051730 lBF = `32.0934` Chr`15` : `78,894,339`	0.002	0.998	0.000
rs56390833 lBF = `34.8717` Chr`15` : `78,877,381`	0.002	0.998	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.002	0.998	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	0.998	0.002
rs17486278 lBF = `34.4524` Chr`15` : `78,867,482`	0.002	0.998	0.000
rs17486195 lBF = `34.277` Chr`15` : `78,865,197`	0.002	0.998	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.002	0.998	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.002	0.998	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.002	0.998	0.000
rs55676755 lBF = `35.5939` Chr`15` : `78,898,932`	0.002	0.998	0.000
rs886144 lBF = `0.0194906` Chr`15` : `91,717,352`	0.000	0.998	0.002
rs16969968 lBF = `35.0833` Chr`15` : `78,882,925`	0.002	0.998	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.998	0.002
rs147144681 lBF = `35.355` Chr`15` : `78,900,908`	0.002	0.998	0.000
rs138544659 lBF = `35.1469` Chr`15` : `78,900,701`	0.002	0.998	0.000
rs1317286 lBF = `34.488` Chr`15` : `78,896,129`	0.002	0.998	0.000
rs9788721 lBF = `35.3476` Chr`15` : `78,802,869`	0.002	0.998	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.002	0.998	0.000
rs12591436 lBF = `-0.0585107` Chr`15` : `79,989,186`	0.002	0.998	0.000
rs1437588 lBF = `-0.0796046` Chr`15` : `96,809,782`	0.000	0.998	0.002
rs75676075 lBF = `-0.0330697` Chr`15` : `87,757,778`	0.000	0.998	0.002
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.002	0.998	0.000
rs146009840 lBF = `35.6058` Chr`15` : `78,906,177`	0.002	0.998	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.002	0.998	0.000
rs8192482 lBF = `35.1524` Chr`15` : `78,886,198`	0.002	0.998	0.000
rs4887067 lBF = `35.132` Chr`15` : `78,886,947`	0.002	0.998	0.000
rs58365910 lBF = `33.0716` Chr`15` : `78,849,034`	0.002	0.998	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.001	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.001	0.999	0.000
rs34684276 lBF = `35.4107` Chr`15` : `78,813,155`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs8031948 lBF = `35.5145` Chr`15` : `78,816,057`	0.001	0.999	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.001	0.999	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs72743158 lBF = `30.527` Chr`15` : `78,926,445`	0.001	0.999	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.001	0.999	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.001	0.999	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.001	0.999	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.999	0.001
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.001	0.999	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs10519203 lBF = `35.4283` Chr`15` : `78,814,046`	0.001	0.999	0.000
rs11635191 lBF = `0.0617191` Chr`15` : `74,550,050`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
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
rs11852372 lBF = `36.0283` Chr`15` : `78,801,394`	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
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
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
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
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
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	0.999	0.001
rs12914385 lBF = `38.3364` Chr`15` : `78,898,723`	0.001	0.999	0.000
rs8034191 lBF = `35.1825` Chr`15` : `78,806,023`	0.001	0.999	0.000
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rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.000	1.000	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	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
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	1.000	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs950169 lBF = `-0.0486341` Chr`15` : `84,706,461`	0.000	1.000	0.000
rs1471225 lBF = `-0.0492171` Chr`15` : `29,888,396`	0.000	1.000	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	1.000	0.000
rs11633886 lBF = `-0.0943819` Chr`15` : `46,078,307`	0.000	1.000	0.000
rs4262906 lBF = `-0.0971759` Chr`15` : `86,462,852`	0.000	1.000	0.000
rs7182385 lBF = `-0.127416` Chr`15` : `85,435,076`	0.000	1.000	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	1.000	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.000	1.000	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	1.000	0.000
rs2679073 lBF = `0.710192` Chr`15` : `87,977,476`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs1601935 lBF = `0.0461629` Chr`15` : `58,671,765`	0.000	1.000	0.000
rs2044029 lBF = `0.0353407` Chr`15` : `71,679,959`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	1.000	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	1.000	0.000
rs144803255 lBF = `-0.0180957` Chr`15` : `56,695,745`	0.000	1.000	0.000
rs7162542 lBF = `-0.0291393` Chr`15` : `84,514,290`	0.000	1.000	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.000	1.000	0.000
rs16976734 lBF = `-0.0430258` Chr`15` : `56,382,295`	0.000	1.000	0.000
rs420017 lBF = `-0.0779226` Chr`15` : `89,617,081`	0.000	1.000	0.000
rs11635085 lBF = `-0.0849679` Chr`15` : `93,046,636`	0.000	1.000	0.000
rs1869901 lBF = `-0.0914663` Chr`15` : `40,595,627`	0.000	1.000	0.000
rs7168365 lBF = `-0.106349` Chr`15` : `53,805,825`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.000	1.000	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	1.000	0.000
rs11072805 lBF = `12.0166` Chr`15` : `79,078,518`	0.000	1.000	0.000
rs11072804 lBF = `11.8864` Chr`15` : `79,078,486`	0.000	1.000	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	1.000	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.000	1.000	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.000	1.000	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.000	1.000	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	1.000	0.000
rs6495122 lBF = `1.14806` Chr`15` : `75,125,645`	0.000	1.000	0.000
rs12904863 lBF = `0.0986889` Chr`15` : `71,424,009`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	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
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	1.000	0.000
rs2238355 lBF = `-0.0888031` Chr`15` : `92,685,778`	0.000	1.000	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.000	1.000	0.000
rs338389 lBF = `-0.117711` Chr`15` : `68,260,008`	0.000	1.000	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	0.000	1.000	0.000
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.000	1.000	0.000
rs8035039 lBF = `24.7809` Chr`15` : `79,129,823`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs12440014 lBF = `17.3365` Chr`15` : `78,926,726`	0.000	1.000	0.000
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.000	1.000	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.000	1.000	0.000
rs12899147 lBF = `12.9814` Chr`15` : `79,079,512`	0.000	1.000	0.000
rs11858210 lBF = `12.875` Chr`15` : `79,078,358`	0.000	1.000	0.000
rs2904220 lBF = `12.8397` Chr`15` : `79,076,704`	0.000	1.000	0.000
rs1825087 lBF = `12.8373` Chr`15` : `79,077,114`	0.000	1.000	0.000
rs12050525 lBF = `12.7855` Chr`15` : `79,075,746`	0.000	1.000	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	1.000	0.000
rs4886592 lBF = `12.6218` Chr`15` : `79,082,547`	0.000	1.000	0.000
rs2277546 lBF = `12.5381` Chr`15` : `79,083,376`	0.000	1.000	0.000
rs2277545 lBF = `12.5251` Chr`15` : `79,083,591`	0.000	1.000	0.000
rs11639044 lBF = `12.4408` Chr`15` : `79,083,814`	0.000	1.000	0.000
rs12903203 lBF = `12.3822` Chr`15` : `79,084,933`	0.000	1.000	0.000
rs11631955 lBF = `12.3799` Chr`15` : `79,085,915`	0.000	1.000	0.000
rs11632102 lBF = `11.961` Chr`15` : `79,086,057`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs8024939 lBF = `5.37334` Chr`15` : `79,049,237`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	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

0.6912

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2981

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8609

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8565

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8554

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8529

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8520

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8335

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8325

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8227

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8211

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8192

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8187

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8153

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7931

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7820

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7793

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7414

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7169

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7169

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7169

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7168

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7168

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7168

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7167

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7167

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7167

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7167

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7166

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7165

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7165

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7165

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7164

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7157

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7157

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7155

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7141

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7133

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7125

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7106

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7083

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7079

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7072

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7069

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7045

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7043

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7035

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7026

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7021

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6946

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6873

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6739

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6676

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6656

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6655

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6646

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6581

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6569

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6524

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6513

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6462

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6384

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6338

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6219

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6191

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6025

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6021

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5974

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5958

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5726

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5655

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5604

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5501

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5483

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5474

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5423

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5201

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5164

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5025

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4963

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4696

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4477

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4475

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4314

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4284

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4236

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3967

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3681

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3241

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3233

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3031

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2881

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2707

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2551

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2513

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2431

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2292

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2099

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1340

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1334

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1246

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1165

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1160

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.0953

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0903

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0900

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0869

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0826

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0815

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0771

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0640

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0572

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0571

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0567

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`)