TreeWAS – [K31.1] Adult hypertrophic pyloric stenosis

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
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.739	0.261	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.718	0.282	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.662	0.338	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.618	0.382	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.586	0.413	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.554	0.446	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.546	0.453	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.535	0.465	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.521	0.479	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.496	0.504	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.495	0.505	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.431	0.569	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.426	0.574	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.402	0.598	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.382	0.618	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.378	0.622	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.376	0.623	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.362	0.638	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.353	0.647	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.337	0.663	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.323	0.677	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.322	0.678	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.321	0.679	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.319	0.681	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.301	0.699	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.258	0.742	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.254	0.746	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.238	0.762	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.237	0.763	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.208	0.792	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.193	0.804	0.003
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.195	0.805	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.179	0.821	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.178	0.822	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.176	0.823	0.001
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.168	0.832	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.146	0.853	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.139	0.861	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.119	0.881	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.106	0.893	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.101	0.899	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.100	0.900	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.099	0.901	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.079	0.921	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.068	0.932	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`	0.060	0.940	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.054	0.946	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.041	0.959	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.039	0.961	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.037	0.963	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.032	0.968	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.027	0.972	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.024	0.976	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.024	0.976	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.020	0.980	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.016	0.984	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.014	0.986	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.013	0.987	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.013	0.987	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.988	0.012
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.011	0.989	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.009	0.990	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.008	0.991	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.008	0.992	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.008	0.992	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.008	0.992	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.007	0.993	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.006	0.993	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.006	0.993	0.000
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.006	0.994	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.006	0.994	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.005	0.994	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.005	0.994	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.004	0.995	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.004	0.996	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.004	0.996	0.000
rs10519302 lBF = `3.04653` Chr`15` : `51,599,683`	0.004	0.996	0.000
rs2414095 lBF = `-0.0223207` Chr`15` : `51,524,292`	0.000	0.996	0.004
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.003	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	0.997	0.003
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.003	0.997	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	0.997	0.003
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.003	0.997	0.000
rs2445762 lBF = `0.0241037` Chr`15` : `51,617,708`	0.000	0.997	0.003
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.002	0.997	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.003	0.997	0.000
rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.000	0.997	0.003
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.003	0.997	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.003	0.997	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	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
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.002	0.998	0.000
rs1971791 lBF = `-0.0755014` Chr`15` : `70,576,138`	0.000	0.998	0.002
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.998	0.002
rs6493487 lBF = `0.322601` Chr`15` : `51,513,729`	0.000	0.998	0.002
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.002	0.998	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.001	0.998	0.000
rs10518765 lBF = `-0.0378225` Chr`15` : `54,680,632`	0.002	0.998	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.000	0.998	0.002
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.998	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	0.998	0.002
rs12148477 lBF = `0.256964` Chr`15` : `51,653,119`	0.000	0.998	0.002
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.000	0.998	0.001
rs1549318 lBF = `-0.0675144` Chr`15` : `71,109,147`	0.002	0.998	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	0.998	0.002
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.000	0.998	0.001
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	0.999	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.001	0.999	0.000
rs916977 lBF = `6.0122` Chr`15` : `28,513,364`	0.001	0.999	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.001	0.999	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs8024343 lBF = `-0.0518479` Chr`15` : `87,710,066`	0.001	0.999	0.000
rs3815003 lBF = `-0.10576` Chr`15` : `91,312,823`	0.000	0.999	0.001
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.001	0.999	0.000
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
rs281302 lBF = `-0.0933521` Chr`15` : `47,686,662`	0.001	0.999	0.000
rs1667394 lBF = `3.63476` Chr`15` : `28,530,182`	0.000	0.999	0.001
rs8024033 lBF = `0.115052` Chr`15` : `40,403,657`	0.001	0.999	0.000
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
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
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
rs8034595 lBF = `-0.0472016` Chr`15` : `96,719,229`	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
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	0.999	0.001
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.000	0.999	0.001
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.001	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.001
rs7164176 lBF = `-0.0889379` Chr`15` : `92,211,774`	0.000	0.999	0.001
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.000	0.999	0.000
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.000	0.999	0.001
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.001	0.999	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	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
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.001	0.999	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.001	0.999	0.000
rs2934442 lBF = `0.0124256` Chr`15` : `57,762,793`	0.001	0.999	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.001	0.999	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	0.999	0.001
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.000	0.999	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.001	0.999	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.001	0.999	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.001	0.999	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.001	0.999	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	0.999	0.001
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.001	0.999	0.000
rs17776563 lBF = `-0.048539` Chr`15` : `89,119,104`	0.001	0.999	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.001	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.000	0.999	0.000
rs7495132 lBF = `0.355927` Chr`15` : `91,172,901`	0.000	0.999	0.001
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.001	0.999	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.001	0.999	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.000	0.999	0.001
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.001	0.999	0.000
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rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	1.000	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	1.000	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.000	1.000	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	1.000	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	0.000	1.000	0.000
rs7175566 lBF = `-0.0653094` Chr`15` : `94,149,785`	0.000	1.000	0.000
rs1365505 lBF = `-0.0678241` Chr`15` : `50,477,138`	0.000	1.000	0.000
rs6083 lBF = `-0.0716222` Chr`15` : `58,838,010`	0.000	1.000	0.000
rs12912251 lBF = `-0.0723374` Chr`15` : `38,986,368`	0.000	1.000	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	1.000	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.000	1.000	0.000
rs7359276 lBF = `19.2626` Chr`15` : `78,892,661`	0.000	1.000	0.000
rs3743078 lBF = `19.1869` Chr`15` : `78,894,759`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	1.000	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	1.000	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.000	1.000	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	1.000	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.000	1.000	0.000
rs12906542 lBF = `1.25982` Chr`15` : `78,269,472`	0.000	1.000	0.000
rs2241423 lBF = `0.595588` Chr`15` : `68,086,838`	0.000	1.000	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.000	1.000	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	1.000	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.000	1.000	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	1.000	0.000
rs261334 lBF = `0.0183237` Chr`15` : `58,726,744`	0.000	1.000	0.000
rs12595668 lBF = `0.0164871` Chr`15` : `39,573,535`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.000	1.000	0.000
rs340029 lBF = `-0.0381864` Chr`15` : `60,894,965`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs8030136 lBF = `-0.0708881` Chr`15` : `25,022,988`	0.000	1.000	0.000
rs11638815 lBF = `-0.08113` Chr`15` : `83,352,282`	0.000	1.000	0.000
rs8034802 lBF = `-0.103335` Chr`15` : `58,724,792`	0.000	1.000	0.000
rs7164594 lBF = `20.61` Chr`15` : `78,803,057`	0.000	1.000	0.000
rs11637630 lBF = `20.2397` Chr`15` : `78,899,719`	0.000	1.000	0.000
rs7183604 lBF = `20.2205` Chr`15` : `78,899,213`	0.000	1.000	0.000
rs189218934 lBF = `19.6831` Chr`15` : `78,903,987`	0.000	1.000	0.000
rs938682 lBF = `19.6295` Chr`15` : `78,896,547`	0.000	1.000	0.000
rs7171869 lBF = `19.4273` Chr`15` : `78,900,909`	0.000	1.000	0.000
rs6495308 lBF = `18.9316` Chr`15` : `78,907,656`	0.000	1.000	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	1.000	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	1.000	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	1.000	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	1.000	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	1.000	0.000
rs503464 lBF = `18.1753` Chr`15` : `78,857,896`	0.000	1.000	0.000
rs2456020 lBF = `17.6277` Chr`15` : `78,868,398`	0.000	1.000	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs4380028 lBF = `8.10393` Chr`15` : `79,111,093`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	1.000	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	1.000	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.000	1.000	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	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
rs11074250 lBF = `0.0134865` Chr`15` : `94,631,472`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs17612678 lBF = `-0.0232809` Chr`15` : `93,815,129`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs6496012 lBF = `-0.0464119` Chr`15` : `39,150,924`	0.000	1.000	0.000
rs11071033 lBF = `-0.0835102` Chr`15` : `54,380,200`	0.000	1.000	0.000
rs6576443 lBF = `-0.0848589` Chr`15` : `25,894,658`	0.000	1.000	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.000	1.000	0.000
rs12441426 lBF = `19.9601` Chr`15` : `78,812,329`	0.000	1.000	0.000
rs4461039 lBF = `19.9477` Chr`15` : `78,817,447`	0.000	1.000	0.000
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs7163730 lBF = `19.767` Chr`15` : `78,814,681`	0.000	1.000	0.000
rs7169584 lBF = `19.7428` Chr`15` : `78,822,660`	0.000	1.000	0.000
rs7181447 lBF = `19.7385` Chr`15` : `78,814,567`	0.000	1.000	0.000
rs7181245 lBF = `19.7337` Chr`15` : `78,814,389`	0.000	1.000	0.000
rs2036534 lBF = `19.5552` Chr`15` : `78,826,948`	0.000	1.000	0.000
rs12438659 lBF = `19.3395` Chr`15` : `78,824,924`	0.000	1.000	0.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	1.000	0.000
rs59133824 lBF = `19.0998` Chr`15` : `78,833,450`	0.000	1.000	0.000
rs59683676 lBF = `19.0249` Chr`15` : `78,833,453`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs12910984 lBF = `17.509` Chr`15` : `78,891,627`	0.000	1.000	0.000
rs637137 lBF = `17.3142` Chr`15` : `78,873,976`	0.000	1.000	0.000
rs576982 lBF = `17.3069` Chr`15` : `78,870,803`	0.000	1.000	0.000
rs569207 lBF = `17.1858` Chr`15` : `78,873,119`	0.000	1.000	0.000
rs667282 lBF = `17.1517` Chr`15` : `78,863,472`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	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

0.6572

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9689

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9600

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9584

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9580

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9394

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9286

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9153

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9133

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8973

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8809

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8776

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8723

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8441

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7930

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7870

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7794

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7773

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7763

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7716

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7619

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7315

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7279

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7141

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7127

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6625

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6378

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6344

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6049

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5658

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5508

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5320

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5213

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5071

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4863

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4324

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4022

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3975

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3539

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3281

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3215

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3156

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2986

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2843

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.2827

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2723

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2694

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2549

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2338

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2083

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2017

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1595

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1413

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.1379

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1283

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1174

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1170

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1034

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1030

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0975

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0964

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0772

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`)