TreeWAS – [Z81.0] Family history of mental retardation

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
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.569	0.431	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.563	0.437	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.533	0.467	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.525	0.475	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
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
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.513	0.487	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.513	0.487	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
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.503	0.497	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.496	0.504	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.494	0.506	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.491	0.509	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.482	0.518	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.481	0.519	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
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.455	0.545	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.453	0.547	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
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.440	0.560	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`	0.393	0.607	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
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.296	0.703	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.288	0.711	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.247	0.753	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.219	0.781	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	0.788	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.208	0.792	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.189	0.811	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
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.050	0.950	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.048	0.951	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.043	0.957	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.042	0.957	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.034	0.966	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.031	0.969	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`	0.026	0.974	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.016	0.983	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	0.986	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`	0.007	0.993	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	0.994	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
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.004	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
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.002	0.997	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.997	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	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
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	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
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	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
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
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	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
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
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	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
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
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
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.001	0.999	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	0.999	0.001
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	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
rs493258 lBF = `-0.0963353` Chr`15` : `58,687,880`	0.000	0.999	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.001	0.999	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.001	0.999	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.000	0.999	0.001
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	0.999	0.001
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.999	0.001
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.001	0.999	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.000	0.999	0.000
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.999	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.000	0.999	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	0.999	0.001
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.001	0.999	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.001	0.999	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.000	0.999	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.000	0.999	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.000	0.999	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.000	0.999	0.000
rs113441626 lBF = `0.00187247` Chr`15` : `72,107,174`	0.000	0.999	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.000	0.999	0.000
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.000	0.999	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	0.999	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.999	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	0.999	0.000
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.000	0.999	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.000	0.999	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	0.999	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.000	0.999	0.000
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.000	0.999	0.000
rs1356410 lBF = `0.147653` Chr`15` : `42,434,837`	0.000	0.999	0.000
rs113920924 lBF = `0.0008265` Chr`15` : `72,498,937`	0.000	0.999	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.000	0.999	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.000	0.999	0.000
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	0.999	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.000	0.999	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.000	0.999	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.000	0.999	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.000	0.999	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.000	0.999	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	0.999	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	0.999	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	0.999	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.000	0.999	0.000
rs3736485 lBF = `-0.10337` Chr`15` : `51,748,610`	0.000	0.999	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.000	0.999	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	0.999	0.000
rs3809566 lBF = `0.0327919` Chr`15` : `63,333,724`	0.000	0.999	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	0.999	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.000	0.999	0.000
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rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	1.000	0.000
rs11636802 lBF = `0.00101096` Chr`15` : `56,775,597`	0.000	1.000	0.000
rs72742684 lBF = `0.00031119` Chr`15` : `56,780,767`	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
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs785422 lBF = `-0.00430612` Chr`15` : `30,173,885`	0.000	1.000	0.000
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	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
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	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
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	1.000	0.000
rs8030605 lBF = `-0.0223245` Chr`15` : `56,504,598`	0.000	1.000	0.000
rs12915708 lBF = `-0.0366806` Chr`15` : `51,048,602`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	1.000	0.000
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	1.000	0.000
rs4984390 lBF = `-0.0722172` Chr`15` : `94,939,508`	0.000	1.000	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.000	1.000	0.000
rs1971791 lBF = `-0.0755014` Chr`15` : `70,576,138`	0.000	1.000	0.000
rs420017 lBF = `-0.0779226` Chr`15` : `89,617,081`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.000	1.000	0.000
rs8032675 lBF = `-0.0863382` Chr`15` : `67,959,464`	0.000	1.000	0.000
rs12912233 lBF = `-0.0888088` Chr`15` : `61,267,096`	0.000	1.000	0.000
rs285757 lBF = `-0.0915449` Chr`15` : `93,179,175`	0.000	1.000	0.000
rs2018860 lBF = `-0.105359` Chr`15` : `99,258,710`	0.000	1.000	0.000
rs11070836 lBF = `-0.10928` Chr`15` : `51,436,397`	0.000	1.000	0.000
rs148783236 lBF = `140.415` Chr`15` : `50,785,016`	0.000	1.000	0.000
rs2521501 lBF = `46.6564` Chr`15` : `91,437,388`	0.000	1.000	0.000
rs2869548 lBF = `30.3012` Chr`15` : `78,922,638`	0.000	1.000	0.000
rs17487223 lBF = `29.7655` Chr`15` : `78,923,987`	0.000	1.000	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	1.000	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.000	1.000	0.000
rs17228058 lBF = `21.7381` Chr`15` : `67,450,305`	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
rs34664138 lBF = `18.8882` Chr`15` : `78,831,624`	0.000	1.000	0.000
rs34138960 lBF = `18.8882` Chr`15` : `78,831,668`	0.000	1.000	0.000
rs35212593 lBF = `18.8452` Chr`15` : `78,831,826`	0.000	1.000	0.000
rs905739 lBF = `18.6441` Chr`15` : `78,845,110`	0.000	1.000	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	1.000	0.000
rs2219939 lBF = `18.5789` Chr`15` : `79,029,723`	0.000	1.000	0.000
rs3813570 lBF = `18.5201` Chr`15` : `78,832,832`	0.000	1.000	0.000
rs12439240 lBF = `18.4763` Chr`15` : `78,829,091`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	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
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs664172 lBF = `16.0595` Chr`15` : `78,862,762`	0.000	1.000	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs684513 lBF = `14.0992` Chr`15` : `78,858,400`	0.000	1.000	0.000
rs72743199 lBF = `13.7888` Chr`15` : `78,975,855`	0.000	1.000	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	1.000	0.000
rs35583595 lBF = `13.4432` Chr`15` : `79,020,152`	0.000	1.000	0.000
rs8039600 lBF = `13.0655` Chr`15` : `78,990,300`	0.000	1.000	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.000	1.000	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.000	1.000	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.000	1.000	0.000
rs16969894 lBF = `10.8894` Chr`15` : `78,776,456`	0.000	1.000	0.000
rs7174348 lBF = `10.7242` Chr`15` : `78,792,439`	0.000	1.000	0.000
rs74925218 lBF = `10.5539` Chr`15` : `78,796,732`	0.000	1.000	0.000
rs2036533 lBF = `10.5388` Chr`15` : `78,781,687`	0.000	1.000	0.000
rs28511883 lBF = `10.4965` Chr`15` : `78,783,683`	0.000	1.000	0.000
rs10851906 lBF = `10.4861` Chr`15` : `78,774,676`	0.000	1.000	0.000
rs12101809 lBF = `10.4802` Chr`15` : `78,779,801`	0.000	1.000	0.000
rs35031105 lBF = `10.4116` Chr`15` : `78,772,806`	0.000	1.000	0.000
rs11072766 lBF = `10.1465` Chr`15` : `78,771,546`	0.000	1.000	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	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

0.3499

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1220

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7150

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6959

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6943

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6933

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6919

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6898

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6873

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6792

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6777

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6773

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6724

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6722

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6690

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6622

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6607

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6600

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6567

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6567

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6563

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6509

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6487

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6471

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6471

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6463

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6451

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6447

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6417

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6383

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6382

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6363

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6361

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6337

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6315

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6309

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6308

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6296

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6282

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6189

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6175

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6159

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6159

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6083

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6058

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6039

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6027

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6022

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6018

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5993

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5980

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5958

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5953

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5941

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5931

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5907

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5881

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5876

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5869

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5857

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5818

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5802

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5797

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5795

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5772

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5767

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5765

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5736

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5736

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5728

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5719

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5696

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5687

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5686

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5619

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5615

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5609

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5599

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5594

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5591

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5543

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5533

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5464

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5452

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5433

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5413

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5374

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5367

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5350

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5349

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5324

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5234

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5209

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5199

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5193

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5149

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5144

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5140

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5140

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5140

Cluster X0246

log Bayes Factor = 121.08

contains 5 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 X0155

log Bayes Factor = 348.568

contains 12 variants

0.5140

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5140

Cluster X0268

log Bayes Factor = 213.591

contains 8 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 X0129

log Bayes Factor = 195.809

contains 7 variants

0.5139

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5026

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4864

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4831

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4755

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4750

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4716

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4501

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4441

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4419

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4130

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4031

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3899

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3777

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3773

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3399

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3398

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3232

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3224

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3130

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2703

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1732

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1660

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1528

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1404

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1379

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1008

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0995

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0953

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0678

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0672

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0621

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0615

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`)