TreeWAS – [Z81.8] Family history of other mental and behavioural disorders

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`	0.648	0.352	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.632	0.368	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.618	0.382	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.560	0.439	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.560	0.440	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.517	0.483	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
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
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.505	0.494	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
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.482	0.518	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
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.459	0.541	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.453	0.547	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.449	0.551	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.446	0.554	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.442	0.558	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.429	0.571	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
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.385	0.614	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.377	0.623	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`	0.317	0.683	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`	0.254	0.746	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.240	0.759	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.216	0.784	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`	0.212	0.788	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.188	0.812	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	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`	0.055	0.945	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.046	0.954	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.044	0.956	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`	0.042	0.958	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.033	0.967	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.032	0.967	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`	0.027	0.973	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
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.013	0.987	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	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
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.009	0.991	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`	0.008	0.992	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	0.006
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.004	0.996	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
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	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
rs8041863 lBF = `0.0768749` Chr`15` : `89,359,689`	0.000	0.997	0.003
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.997	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	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
rs7179456 lBF = `-0.0798496` Chr`15` : `59,174,539`	0.000	0.998	0.002
rs493258 lBF = `-0.0963353` Chr`15` : `58,687,880`	0.000	0.998	0.002
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.000	0.998	0.002
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.000	0.998	0.002
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs4337252 lBF = `1.02881` Chr`15` : `74,226,765`	0.000	0.999	0.001
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.001	0.999	0.000
rs7179432 lBF = `0.0531748` Chr`15` : `93,564,972`	0.001	0.999	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.001	0.999	0.000
rs16957091 lBF = `-0.0341839` Chr`15` : `43,017,426`	0.000	0.999	0.001
rs750460 lBF = `0.0661623` Chr`15` : `74,241,506`	0.001	0.999	0.000
rs920915 lBF = `-0.0906984` Chr`15` : `58,688,467`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs4304977 lBF = `-0.0585936` Chr`15` : `92,806,291`	0.001	0.999	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs2947253 lBF = `-0.0627289` Chr`15` : `36,049,492`	0.001	0.999	0.000
rs12148329 lBF = `-0.0771872` Chr`15` : `81,001,278`	0.001	0.999	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	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
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
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
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
rs16958536 lBF = `0` Chr`15` : `47,029,906`	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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	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
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	0.999	0.001
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.000	0.999	0.001
rs8038465 lBF = `-0.0298584` Chr`15` : `73,978,337`	0.000	0.999	0.001
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	0.999	0.001
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.999	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs1356410 lBF = `0.147653` Chr`15` : `42,434,837`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs1532085 lBF = `-0.10098` Chr`15` : `58,683,366`	0.000	0.999	0.001
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.001	0.999	0.000
rs6598541 lBF = `-0.0910836` Chr`15` : `99,271,135`	0.000	0.999	0.001
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.001	0.999	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.001	0.999	0.000
rs35600665 lBF = `-0.100694` Chr`15` : `24,741,291`	0.001	0.999	0.000
rs2043085 lBF = `-0.101826` Chr`15` : `58,680,954`	0.000	0.999	0.001
rs3736485 lBF = `-0.10337` Chr`15` : `51,748,610`	0.000	0.999	0.001
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	0.999	0.001
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	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
rs12594515 lBF = `-0.0698809` Chr`15` : `45,985,071`	0.001	0.999	0.000
rs8028182 lBF = `-0.0092782` Chr`15` : `75,718,669`	0.000	0.999	0.001
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.000	0.999	0.001
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.001	0.999	0.000
rs4886670 lBF = `-0.0369237` Chr`15` : `75,449,674`	0.000	0.999	0.001
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.001	0.999	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.000	0.999	0.001
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs6494849 lBF = `-0.0400256` Chr`15` : `70,480,614`	0.000	0.999	0.001
rs7179575 lBF = `-0.0527773` Chr`15` : `27,323,199`	0.000	0.999	0.001
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.001	0.999	0.000
rs4906759 lBF = `0.00225267` Chr`15` : `25,975,208`	0.000	0.999	0.000
rs3809566 lBF = `0.0327919` Chr`15` : `63,333,724`	0.001	0.999	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	0.999	0.001
rs16957709 lBF = `0.00753887` Chr`15` : `43,702,948`	0.000	0.999	0.000
rs2572207 lBF = `-0.0391057` Chr`15` : `66,070,693`	0.001	0.999	0.000
rs11071559 lBF = `0.291389` Chr`15` : `61,069,988`	0.001	0.999	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	0.999	0.001
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.001	0.999	0.000
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.001	0.999	0.000
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rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.000	1.000	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.000	1.000	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	1.000	0.000
rs1568657 lBF = `-0.0477838` Chr`15` : `83,726,179`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs8034004 lBF = `-0.0624985` Chr`15` : `70,798,559`	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
rs2652822 lBF = `-0.130664` Chr`15` : `63,422,772`	0.000	1.000	0.000
rs57064725 lBF = `19.2808` Chr`15` : `78,833,036`	0.000	1.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs5019044 lBF = `11.028` Chr`15` : `78,796,282`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	1.000	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.000	1.000	0.000
rs12441088 lBF = `6.3773` Chr`15` : `78,928,264`	0.000	1.000	0.000
rs4886776 lBF = `0.758725` Chr`15` : `74,224,996`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs8023401 lBF = `0.0777811` Chr`15` : `48,703,823`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs7181230 lBF = `0.0270022` Chr`15` : `40,360,741`	0.000	1.000	0.000
rs79604958 lBF = `0.0141016` Chr`15` : `75,929,991`	0.000	1.000	0.000
rs55966621 lBF = `0.0109487` Chr`15` : `81,137,076`	0.000	1.000	0.000
rs4777845 lBF = `0.0106845` Chr`15` : `93,877,425`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs16966460 lBF = `-0.00736138` Chr`15` : `38,511,983`	0.000	1.000	0.000
rs12438353 lBF = `-0.0469606` Chr`15` : `87,315,080`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	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
rs28437878 lBF = `19.8604` Chr`15` : `78,807,872`	0.000	1.000	0.000
rs12438181 lBF = `19.7958` Chr`15` : `78,812,098`	0.000	1.000	0.000
rs12441354 lBF = `19.2446` Chr`15` : `78,821,016`	0.000	1.000	0.000
rs899997 lBF = `18.2795` Chr`15` : `79,019,578`	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
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
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	1.000	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	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
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	1.000	0.000
rs9672608 lBF = `10.0134` Chr`15` : `78,797,463`	0.000	1.000	0.000
rs1316971 lBF = `7.97472` Chr`15` : `78,930,510`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs2306786 lBF = `0.389908` Chr`15` : `59,487,930`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.000	1.000	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	1.000	0.000
rs78177980 lBF = `0.134448` Chr`15` : `93,480,463`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs2929282 lBF = `0.0682501` Chr`15` : `44,245,931`	0.000	1.000	0.000
rs7179228 lBF = `0.0380638` Chr`15` : `68,622,347`	0.000	1.000	0.000
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs7495174 lBF = `0.0147166` Chr`15` : `28,344,238`	0.000	1.000	0.000
rs2596230 lBF = `0.00374694` Chr`15` : `33,720,726`	0.000	1.000	0.000
rs4620914 lBF = `0.00350354` Chr`15` : `38,220,391`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.000	1.000	0.000
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	1.000	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	1.000	0.000
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.000	1.000	0.000
rs11637235 lBF = `-0.0455725` Chr`15` : `48,633,153`	0.000	1.000	0.000
rs35853021 lBF = `-0.0482636` Chr`15` : `58,680,643`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs420017 lBF = `-0.0779226` Chr`15` : `89,617,081`	0.000	1.000	0.000
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	1.000	0.000
rs6496074 lBF = `-0.123248` Chr`15` : `95,511,837`	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
rs61204066 lBF = `19.8116` Chr`15` : `78,815,298`	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

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

0.3271

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1283

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9955

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9497

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9458

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9436

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9407

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9352

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9321

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9098

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9062

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9052

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9008

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8931

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8854

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8778

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8691

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8637

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8559

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8559

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8548

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8419

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8402

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8330

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8329

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8309

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8282

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8272

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8199

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8118

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8116

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8070

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8065

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8025

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8007

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7955

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7941

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7911

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7875

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7653

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7621

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7582

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7581

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7424

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7340

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7295

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7290

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7265

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7253

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7244

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7183

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7114

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7100

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7087

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7062

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7035

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6979

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6915

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6895

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6887

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6857

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6726

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6713

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6710

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6654

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6644

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6568

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6568

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6557

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6527

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6473

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6456

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6454

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6448

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6408

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6287

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6277

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6244

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6229

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6220

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6152

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6104

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5916

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5887

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5843

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5793

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5700

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5684

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5642

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5642

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5586

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5365

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5357

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5304

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5268

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5266

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5240

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5162

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 X0098

log Bayes Factor = 246.226

contains 8 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 X0142

log Bayes Factor = 295.63

contains 12 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 X0145

log Bayes Factor = 274.587

contains 11 variants

0.4478

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4346

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4327

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4291

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4206

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4040

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3936

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3583

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.3412

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3398

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3191

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2720

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2486

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1998

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1893

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1848

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1750

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1733

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1618

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1273

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1262

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0899

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0889

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0791

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0790

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0703

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0565

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`)