TreeWAS – [G47.2] Disorders of the sleep-wake schedule

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
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.794	0.206	0.000
rs71559084 lBF = `132.261` Chr`6` : `28,436,668`	0.725	0.275	0.000
rs35814746 lBF = `136.674` Chr`6` : `28,299,088`	0.720	0.280	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.717	0.283	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.716	0.284	0.000
rs34282046 lBF = `10.8372` Chr`19` : `19,304,899`	0.716	0.284	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.715	0.284	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.715	0.285	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.715	0.285	0.000
rs77149735 lBF = `4.50866` Chr`1` : `243,555,105`	0.715	0.285	0.000
rs118068306 lBF = `14.8013` Chr`3` : `14,273,131`	0.714	0.286	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.713	0.287	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.711	0.288	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.711	0.289	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.710	0.290	0.000
rs2394251 lBF = `47.8031` Chr`6` : `29,943,688`	0.709	0.291	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.708	0.291	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.708	0.292	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.708	0.292	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.707	0.293	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.707	0.293	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.706	0.294	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.706	0.294	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.705	0.294	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.705	0.295	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.705	0.295	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.705	0.295	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.705	0.295	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.704	0.296	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.704	0.296	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.704	0.296	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.704	0.296	0.000
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.703	0.297	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.702	0.298	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.701	0.299	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.701	0.299	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.701	0.299	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.699	0.300	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.699	0.301	0.000
rs6081597 lBF = `2.78288` Chr`20` : `1,995,534`	0.699	0.301	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.699	0.301	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.699	0.301	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.698	0.302	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.698	0.302	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.697	0.302	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.697	0.303	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.697	0.303	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.697	0.303	0.000
rs3118362 lBF = `108.751` Chr`6` : `28,785,085`	0.697	0.303	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.696	0.304	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.694	0.306	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.694	0.306	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.694	0.306	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.693	0.307	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.692	0.308	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.692	0.308	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.692	0.308	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.691	0.309	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.690	0.309	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.690	0.310	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.689	0.311	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.688	0.311	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.688	0.312	0.000
rs71559077 lBF = `133.938` Chr`6` : `28,328,065`	0.687	0.313	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.686	0.314	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.685	0.315	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.685	0.315	0.000
rs62369380 lBF = `13.7147` Chr`5` : `66,502,384`	0.685	0.315	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.685	0.315	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.683	0.317	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.683	0.317	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.682	0.318	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.681	0.319	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.680	0.320	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.679	0.320	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.679	0.321	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.679	0.321	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.678	0.321	0.000
rs115098315 lBF = `20.6403` Chr`6` : `32,100,225`	0.678	0.322	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.677	0.322	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.677	0.323	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.677	0.323	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.676	0.324	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.675	0.325	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.675	0.325	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.675	0.325	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.674	0.326	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.674	0.326	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.674	0.326	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.674	0.326	0.000
rs117124364 lBF = `1.90172` Chr`21` : `34,369,761`	0.673	0.327	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.673	0.327	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.673	0.327	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.673	0.327	0.000
rs3798220 lBF = `217.284` Chr`6` : `160,961,137`	0.672	0.328	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.672	0.328	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.671	0.328	0.000
rs116517351 lBF = `17.5697` Chr`2` : `20,160,078`	0.671	0.329	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.670	0.329	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.670	0.330	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.670	0.330	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.669	0.331	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.669	0.331	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.669	0.331	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.668	0.332	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.668	0.332	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.668	0.332	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.667	0.333	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.667	0.333	0.000
rs2596551 lBF = `27.6033` Chr`6` : `31,332,239`	0.000	0.333	0.667
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.666	0.334	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.666	0.334	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.666	0.334	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.666	0.334	0.000
rs116775899 lBF = `12.2053` Chr`5` : `76,143,246`	0.665	0.335	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.665	0.335	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.665	0.335	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.664	0.336	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.663	0.337	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.663	0.337	0.000
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.662	0.338	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.662	0.338	0.000
rs2051457 lBF = `9.37521` Chr`11` : `21,677,342`	0.662	0.338	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.661	0.338	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.661	0.339	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.661	0.339	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.660	0.339	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.660	0.340	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.660	0.340	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.659	0.341	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.658	0.342	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.656	0.344	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.656	0.344	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.656	0.344	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.655	0.344	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.655	0.345	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.655	0.345	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.654	0.346	0.000
rs12655917 lBF = `1.58029` Chr`5` : `77,291,940`	0.654	0.346	0.000
rs78896389 lBF = `12.8178` Chr`6` : `71,299,288`	0.654	0.346	0.000
rs13214703 lBF = `151.316` Chr`6` : `27,941,387`	0.654	0.346	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.653	0.347	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.652	0.348	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.652	0.348	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.651	0.348	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.651	0.349	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.651	0.349	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.651	0.349	0.000
rs117291585 lBF = `14.6339` Chr`20` : `58,844,539`	0.650	0.349	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.650	0.349	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.650	0.350	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.650	0.350	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.649	0.351	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.649	0.351	0.000
rs114423144 lBF = `13.6872` Chr`2` : `119,230,855`	0.649	0.351	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.649	0.351	0.000
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.649	0.351	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.649	0.351	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.647	0.352	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.646	0.354	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.646	0.354	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.646	0.354	0.000
rs17443266 lBF = `15.2354` Chr`12` : `19,169,453`	0.644	0.356	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.644	0.356	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.644	0.356	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.644	0.356	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.643	0.357	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.643	0.357	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.642	0.358	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.642	0.358	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.641	0.358	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.641	0.359	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.641	0.359	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.641	0.359	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.640	0.359	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.640	0.360	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.640	0.360	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.640	0.360	0.000
rs61819425 lBF = `15.4159` Chr`1` : `114,136,618`	0.640	0.360	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.640	0.360	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.638	0.362	0.000
rs118164726 lBF = `20.0312` Chr`14` : `59,013,798`	0.638	0.362	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.637	0.362	0.000
rs74469198 lBF = `14.4455` Chr`2` : `20,110,483`	0.637	0.363	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.637	0.363	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.636	0.364	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.636	0.364	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.635	0.365	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.635	0.365	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.633	0.366	0.000
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.633	0.367	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.633	0.367	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.632	0.368	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.631	0.369	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.630	0.369	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.630	0.369	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.630	0.370	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.629	0.371	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.629	0.371	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.628	0.371	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.628	0.371	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.628	0.372	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.628	0.372	0.000
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rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.543	0.457	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.542	0.457	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.542	0.458	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.542	0.458	0.000
rs2523395 lBF = `26.9702` Chr`6` : `29,702,510`	0.000	0.458	0.542
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.541	0.458	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.541	0.459	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.541	0.459	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.540	0.459	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.539	0.461	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.539	0.461	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.538	0.462	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.538	0.462	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.538	0.462	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.538	0.462	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.538	0.462	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.537	0.463	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.537	0.463	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.537	0.463	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.537	0.463	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.536	0.463	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.536	0.464	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.536	0.464	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.536	0.464	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.535	0.465	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.535	0.465	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.535	0.465	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.535	0.465	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.535	0.465	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.535	0.465	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.534	0.465	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.534	0.466	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.534	0.466	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.534	0.466	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.533	0.466	0.000
rs75011346 lBF = `15.1821` Chr`1` : `163,292,579`	0.533	0.467	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.532	0.468	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.532	0.468	0.000
rs78815966 lBF = `8.22947` Chr`4` : `86,755,698`	0.532	0.468	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.531	0.469	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.531	0.469	0.000
rs117813251 lBF = `20.0984` Chr`17` : `74,197,931`	0.531	0.469	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.530	0.470	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.530	0.470	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.530	0.470	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.529	0.471	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.529	0.471	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.529	0.471	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.528	0.471	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.528	0.471	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.528	0.472	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.528	0.472	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.527	0.473	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.527	0.473	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.527	0.473	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.527	0.473	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.526	0.474	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.526	0.474	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.525	0.474	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.525	0.474	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.525	0.475	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.525	0.475	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.524	0.475	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.524	0.476	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.524	0.476	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.524	0.476	0.000
rs62128682 lBF = `22.6156` Chr`19` : `47,978,171`	0.523	0.476	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.523	0.477	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.523	0.477	0.000
rs74434895 lBF = `13.5663` Chr`1` : `113,934,072`	0.523	0.477	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.522	0.477	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.522	0.478	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.521	0.479	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.521	0.479	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.521	0.479	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.520	0.480	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.519	0.481	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.519	0.481	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.518	0.482	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.518	0.482	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.518	0.482	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.518	0.482	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.518	0.482	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.517	0.483	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.516	0.483	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.516	0.483	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.516	0.484	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.516	0.484	0.000
rs3130071 lBF = `117.396` Chr`6` : `31,594,628`	0.515	0.484	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.515	0.484	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.514	0.485	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.514	0.486	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.514	0.486	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.514	0.486	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.513	0.487	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.512	0.487	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2696

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8220

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7171

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7169

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7167

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7166

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7166

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7160

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7150

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7147

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7142

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7137

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7132

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7116

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7108

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7106

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7092

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7089

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7075

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7071

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7070

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7065

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7065

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7056

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7044

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7030

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6990

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6966

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6943

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6917

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6864

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6861

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6819

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6817

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6641

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6613

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6566

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6562

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6543

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6465

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.6445

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6354

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6293

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6282

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6184

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6177

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6173

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6168

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6153

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6061

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5993

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5962

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5960

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5933

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5933

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5926

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5873

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5820

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5810

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5802

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5638

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5622

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5620

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5569

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5568

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5437

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5436

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.5411

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5383

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5361

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5347

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5301

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5258

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5199

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5121

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5103

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5099

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5068

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5061

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5046

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5013

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4958

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4955

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4923

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4828

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4817

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4767

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4760

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4681

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4629

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4613

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4599

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4555

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4493

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4469

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4461

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4450

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4374

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4371

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4289

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4286

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4195

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4185

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4020

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3966

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3943

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3907

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3836

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3833

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3827

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3750

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3672

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3668

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3660

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3600

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3580

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3494

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3345

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3344

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3194

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.3091

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3079

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3025

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2988

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2889

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2863

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2858

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2811

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2776

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2746

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2726

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2658

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2630

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.2510

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2484

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.2462

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2382

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2346

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2331

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2303

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.2145

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2011

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1848

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1722

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1697

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1659

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1659

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1646

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1626

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1605

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1519

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1508

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1495

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.1449

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1449

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1432

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1402

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1349

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1292

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1239

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1140

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1136

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1079

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1073

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1061

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1032

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0982

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0953

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0934

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0857

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0854

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0837

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0810

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0800

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0757

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0754

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0749

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0687

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0665

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0638

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0625

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0548

Cluster X0188

log Bayes Factor = 222.629

contains 14 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`)