TreeWAS – [R41.1] Anterograde amnesia

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
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.819	0.181	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.805	0.195	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.792	0.208	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.725	0.275	0.000
rs769449 lBF = `166.029` Chr`19` : `45,410,002`	0.717	0.283	0.000
rs2075650 lBF = `139.935` Chr`19` : `45,395,619`	0.717	0.283	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.717	0.283	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.715	0.285	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.714	0.285	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.714	0.286	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.714	0.286	0.000
rs41289512 lBF = `27.1631` Chr`19` : `45,351,516`	0.714	0.286	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.714	0.286	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.710	0.290	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.710	0.290	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.709	0.291	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.707	0.293	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.703	0.297	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.703	0.297	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.702	0.298	0.000
rs72824489 lBF = `21.2308` Chr`10` : `98,525,587`	0.701	0.298	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.699	0.301	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.699	0.301	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.699	0.301	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.698	0.302	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.698	0.302	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.698	0.302	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.696	0.304	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.693	0.307	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.693	0.307	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.691	0.309	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.690	0.310	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.690	0.310	0.000
rs75003023 lBF = `19.4031` Chr`17` : `75,537,040`	0.689	0.311	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.688	0.312	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.688	0.312	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.688	0.312	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.686	0.314	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.686	0.314	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.685	0.315	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.685	0.315	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.685	0.315	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.685	0.315	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.682	0.318	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.679	0.321	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.678	0.322	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.677	0.323	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.676	0.324	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.676	0.324	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.675	0.325	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.675	0.325	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.674	0.326	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.673	0.326	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.673	0.327	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.673	0.327	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.672	0.328	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.672	0.328	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.672	0.328	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.671	0.328	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.671	0.329	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.671	0.329	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.669	0.331	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.669	0.331	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.667	0.333	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.665	0.335	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.664	0.336	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.664	0.336	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.661	0.339	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.659	0.341	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.659	0.341	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.657	0.343	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.657	0.343	0.000
rs4713467 lBF = `13.306` Chr`6` : `31,437,275`	0.656	0.344	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.655	0.345	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.654	0.346	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.653	0.347	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.653	0.347	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.652	0.348	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.651	0.349	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.650	0.350	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.650	0.350	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.650	0.350	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.650	0.350	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.650	0.350	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.648	0.352	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.648	0.352	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.648	0.352	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.648	0.352	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.648	0.352	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.647	0.352	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.647	0.353	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.647	0.353	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.646	0.354	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.646	0.354	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.645	0.355	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.644	0.356	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.643	0.357	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.643	0.357	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.642	0.358	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.642	0.358	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.641	0.359	0.000
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.359	0.641
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.640	0.359	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.639	0.361	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.639	0.361	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.639	0.361	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.638	0.362	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.638	0.362	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.638	0.362	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.638	0.362	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.638	0.362	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.636	0.364	0.000
rs12521584 lBF = `17.302` Chr`5` : `39,568,215`	0.636	0.364	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.635	0.365	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.635	0.365	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.635	0.365	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.634	0.366	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.633	0.367	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.633	0.367	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.633	0.367	0.000
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.367	0.632
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.632	0.368	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.632	0.368	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.632	0.368	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.631	0.368	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.631	0.369	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.631	0.369	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.631	0.369	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.631	0.369	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.630	0.370	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.630	0.370	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.630	0.370	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.630	0.370	0.000
rs59007384 lBF = `103.247` Chr`19` : `45,396,665`	0.629	0.370	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.629	0.371	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.628	0.372	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.627	0.373	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.627	0.373	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.627	0.373	0.000
rs112996116 lBF = `5.48142` Chr`3` : `132,260,187`	0.626	0.374	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.623	0.377	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.623	0.377	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.623	0.377	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.623	0.377	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.621	0.379	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.621	0.379	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.620	0.379	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.620	0.380	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.620	0.380	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.619	0.380	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.619	0.381	0.000
rs74625856 lBF = `95.8612` Chr`6` : `161,313,619`	0.619	0.381	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.619	0.381	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.617	0.383	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.617	0.383	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.616	0.383	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.616	0.384	0.000
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.616	0.384	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.616	0.384	0.000
rs6859 lBF = `25.5207` Chr`19` : `45,382,034`	0.615	0.385	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.614	0.386	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.614	0.386	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.614	0.386	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.614	0.386	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.614	0.386	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.613	0.386	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.613	0.387	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.613	0.387	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.612	0.387	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.611	0.389	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.389	0.611
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.611	0.389	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.610	0.389	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.610	0.389	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.610	0.390	0.000
rs157582 lBF = `98.5206` Chr`19` : `45,396,219`	0.610	0.390	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.610	0.390	0.000
rs56131196 lBF = `198.195` Chr`19` : `45,422,846`	0.609	0.391	0.000
rs4420638 lBF = `199.322` Chr`19` : `45,422,946`	0.608	0.391	0.000
rs157581 lBF = `96.9021` Chr`19` : `45,395,714`	0.608	0.391	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.608	0.392	0.000
rs288232 lBF = `0.941514` Chr`5` : `107,419,548`	0.000	0.392	0.608
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.608	0.392	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.608	0.392	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.608	0.392	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.608	0.392	0.000
rs59753639 lBF = `4.25806` Chr`12` : `25,140,690`	0.607	0.392	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.607	0.393	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.605	0.395	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.604	0.396	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.603	0.397	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.603	0.397	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.602	0.397	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.602	0.398	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.602	0.398	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.601	0.399	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.600	0.400	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.600	0.400	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.600	0.400	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.600	0.400	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.600	0.400	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.600	0.400	0.000
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.400	0.599
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rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.515	0.485	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.515	0.485	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.515	0.485	0.000
rs76157865 lBF = `14.4081` Chr`19` : `24,169,805`	0.514	0.486	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.514	0.486	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.512	0.488	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.512	0.488	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.511	0.489	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.511	0.489	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.511	0.489	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.510	0.489	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.510	0.490	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.490	0.510
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.509	0.491	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.509	0.491	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.509	0.491	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.509	0.491	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.509	0.491	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.509	0.491	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.509	0.491	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.508	0.492	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.508	0.492	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.508	0.492	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.508	0.492	0.000
rs117593948 lBF = `12.1272` Chr`6` : `110,245,200`	0.507	0.493	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.507	0.493	0.000
rs77502261 lBF = `18.4973` Chr`7` : `124,095,846`	0.507	0.493	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.506	0.494	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.506	0.494	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.506	0.494	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.505	0.494	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.505	0.495	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.505	0.495	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.505	0.495	0.000
rs1627851 lBF = `16.6068` Chr`11` : `113,962,157`	0.505	0.495	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.504	0.496	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.504	0.496	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.503	0.497	0.000
rs4746853 lBF = `18.9277` Chr`10` : `64,181,219`	0.503	0.497	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.502	0.497	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.502	0.498	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.502	0.498	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.501	0.498	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.501	0.499	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.500	0.499	0.000
rs79143957 lBF = `12.6617` Chr`3` : `23,125,989`	0.500	0.500	0.000
rs438811 lBF = `51.3098` Chr`19` : `45,416,741`	0.499	0.501	0.001
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.499	0.501	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.499	0.501	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.498	0.502	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.497	0.502	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.497	0.503	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.496	0.503	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.496	0.504	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.495	0.505	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.495	0.505	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.495	0.505	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.494	0.506	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.494	0.506	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.493	0.507	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.493	0.507	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.492	0.507	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.492	0.508	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.490	0.510	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.490	0.510	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.490	0.510	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.510	0.490
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.489	0.511	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.488	0.511	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.488	0.512	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.487	0.513	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.487	0.513	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.486	0.513	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.485	0.515	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.485	0.515	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.485	0.515	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.484	0.515	0.000
rs9380254 lBF = `46.9536` Chr`6` : `31,378,335`	0.484	0.515	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.484	0.516	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.484	0.516	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.484	0.516	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.483	0.517	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.483	0.517	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.483	0.517	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.482	0.518	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.482	0.518	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.481	0.518	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.481	0.518	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.481	0.519	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.481	0.519	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.481	0.519	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.479	0.521	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.479	0.521	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.478	0.522	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.478	0.522	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3101

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2008

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9190

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8987

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8237

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8227

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8223

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8185

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.7982

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7922

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7904

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7838

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7753

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7520

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7402

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7163

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7162

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7162

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7162

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7154

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7145

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7134

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7101

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7077

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7048

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7011

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7005

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6977

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6966

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6962

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6951

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6943

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6909

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6893

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6882

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6826

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6661

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6351

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6346

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6300

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6164

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6129

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6045

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6005

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5887

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5632

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.5575

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5575

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5538

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5528

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5466

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5378

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5279

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5237

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5124

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5081

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4885

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4836

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4633

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4576

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4518

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4482

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4458

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4136

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4125

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4083

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4082

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4059

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4020

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3841

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3839

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3777

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3729

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3701

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3592

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3588

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3517

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3437

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3346

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3234

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3168

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2834

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2673

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2673

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2660

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2399

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2339

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2317

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2311

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2286

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2242

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2092

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2082

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2052

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1992

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1966

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1866

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1864

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1812

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1805

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1763

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1718

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1701

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1650

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1584

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1515

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1469

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.1468

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1335

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1301

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1282

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1275

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1250

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1232

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1216

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1205

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1185

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1167

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1161

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1154

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1144

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1097

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1073

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1068

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1067

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1042

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0959

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0929

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0883

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.0880

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0809

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0793

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0792

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0792

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0790

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0729

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0702

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0667

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0653

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0620

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.0610

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0554

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0543

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0537

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0526

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0524

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0515

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0506

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`)