TreeWAS – [O99.2] Endocrine, nutritional and metabolic diseases complicating pregnancy, childbirth and the puerperium

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
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.908	0.092	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.894	0.106	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.866	0.133	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.839	0.161	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.823	0.176	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.820	0.180	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.819	0.181	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.816	0.184	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.812	0.188	0.000
rs116564764 lBF = `16.14` Chr`3` : `162,298,640`	0.802	0.198	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.798	0.202	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.797	0.203	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.797	0.203	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.782	0.218	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.781	0.219	0.000
rs111550474 lBF = `9.97502` Chr`6` : `1,977,205`	0.778	0.222	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.776	0.224	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.772	0.228	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.772	0.228	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.768	0.232	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.766	0.234	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.765	0.235	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.761	0.239	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.760	0.240	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.759	0.241	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.758	0.242	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.242	0.758
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.757	0.243	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.752	0.248	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.747	0.253	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.747	0.253	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.746	0.254	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.746	0.254	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.741	0.259	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.737	0.263	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.736	0.264	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.735	0.265	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.735	0.265	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.734	0.266	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.732	0.268	0.000
rs6670062 lBF = `2.87632` Chr`1` : `247,261,125`	0.728	0.272	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.727	0.273	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.725	0.275	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.723	0.277	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.723	0.277	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.713	0.287	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.712	0.288	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.712	0.288	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.710	0.290	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.708	0.291	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.707	0.293	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.707	0.293	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.707	0.293	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.704	0.296	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.701	0.299	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.697	0.303	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.304	0.696
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.695	0.305	0.000
rs74349719 lBF = `17.1061` Chr`3` : `46,650,701`	0.694	0.306	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.693	0.306	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.693	0.307	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.692	0.308	0.000
rs143046984 lBF = `1.68613` Chr`14` : `71,404,246`	0.691	0.309	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.689	0.310	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.689	0.311	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.689	0.311	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.689	0.311	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.689	0.311	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.688	0.312	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.688	0.312	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.687	0.313	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.687	0.313	0.000
rs2286313 lBF = `1.86051` Chr`14` : `71,514,163`	0.687	0.313	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.686	0.314	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.686	0.314	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.685	0.314	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.684	0.316	0.000
rs2792760 lBF = `12.7806` Chr`10` : `113,850,024`	0.684	0.316	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.683	0.316	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.682	0.318	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.682	0.318	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.682	0.318	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.681	0.319	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.681	0.319	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.680	0.320	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.680	0.320	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.680	0.320	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.679	0.321	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.679	0.321	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.677	0.323	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.677	0.323	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.675	0.324	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.675	0.325	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.675	0.325	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.674	0.326	0.000
rs1320333 lBF = `0.774822` Chr`2` : `679,179`	0.674	0.326	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.674	0.326	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.673	0.327	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.673	0.327	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.673	0.327	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.672	0.328	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.671	0.328	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.671	0.329	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.669	0.331	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.669	0.331	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.669	0.331	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.668	0.332	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.668	0.332	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.665	0.335	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.665	0.335	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.664	0.336	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.664	0.336	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.663	0.337	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.663	0.337	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.663	0.337	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.662	0.337	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.662	0.338	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.661	0.339	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.660	0.340	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.660	0.340	0.000
rs117399901 lBF = `16.2345` Chr`20` : `62,857,182`	0.660	0.340	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.658	0.341	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.657	0.343	0.000
rs28723033 lBF = `6.73136` Chr`5` : `133,467,925`	0.656	0.343	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.656	0.344	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.656	0.344	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.653	0.346	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.347	0.653
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.653	0.347	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.651	0.349	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.650	0.350	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.650	0.350	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.649	0.351	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.648	0.352	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.646	0.354	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.645	0.355	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.644	0.355	0.000
rs870142 lBF = `1.33645` Chr`4` : `4,648,047`	0.644	0.356	0.000
rs77685854 lBF = `10.8777` Chr`3` : `32,897,040`	0.644	0.356	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.644	0.356	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.643	0.356	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.644	0.356	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.643	0.356	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.643	0.357	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.643	0.357	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.641	0.358	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.640	0.360	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.640	0.360	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.639	0.361	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.638	0.361	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.638	0.362	0.000
rs62387661 lBF = `9.25318` Chr`6` : `16,084,392`	0.638	0.362	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.635	0.364	0.000
rs7782376 lBF = `1.74258` Chr`7` : `116,577,124`	0.635	0.364	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.635	0.365	0.000
rs77382928 lBF = `9.24275` Chr`1` : `49,988,835`	0.634	0.366	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.634	0.366	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.633	0.366	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.633	0.367	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.633	0.367	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.633	0.367	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.632	0.368	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.632	0.368	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.632	0.368	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.631	0.369	0.000
rs11947645 lBF = `1.43698` Chr`4` : `151,101,672`	0.631	0.369	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.630	0.370	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.630	0.370	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.629	0.370	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.629	0.371	0.000
rs13807 lBF = `13.4297` Chr`11` : `64,889,034`	0.629	0.371	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.628	0.371	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.628	0.372	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.627	0.373	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.627	0.373	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.627	0.373	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.626	0.374	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.626	0.374	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.626	0.374	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.374	0.626
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.625	0.375	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.625	0.375	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.624	0.376	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.624	0.376	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.622	0.378	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.622	0.378	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.622	0.378	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.621	0.379	0.000
rs79120241 lBF = `12.9559` Chr`14` : `48,698,503`	0.621	0.379	0.000
rs114659777 lBF = `10.4967` Chr`5` : `146,011,408`	0.621	0.379	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.620	0.380	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.620	0.380	0.000
rs62072914 lBF = `10.3081` Chr`17` : `79,332,221`	0.618	0.381	0.000
rs10272474 lBF = `13.1578` Chr`7` : `96,155,852`	0.618	0.382	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.618	0.382	0.000
rs7964407 lBF = `0.858826` Chr`12` : `28,192,989`	0.000	0.383	0.617
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.615	0.385	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.615	0.385	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.614	0.386	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.614	0.386	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.614	0.386	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.613	0.386	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.613	0.386	0.000
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rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.543	0.457	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.543	0.457	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.543	0.457	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.542	0.457	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.542	0.458	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.542	0.458	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.541	0.458	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.541	0.459	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.541	0.459	0.000
rs2290159 lBF = `1.06203` Chr`3` : `12,628,920`	0.000	0.459	0.541
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.540	0.460	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.540	0.460	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.539	0.461	0.000
rs75894238 lBF = `25.5492` Chr`6` : `10,128,350`	0.538	0.462	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.538	0.462	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.536	0.463	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.536	0.464	0.000
rs11231824 lBF = `2.30116` Chr`11` : `64,354,795`	0.536	0.464	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.536	0.464	0.000
rs13202464 lBF = `83.2155` Chr`6` : `31,344,583`	0.536	0.464	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.000	0.465	0.535
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.535	0.465	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.534	0.465	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.534	0.465	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.534	0.466	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.534	0.466	0.000
rs1800961 lBF = `14.5409` Chr`20` : `43,042,364`	0.534	0.466	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.533	0.467	0.000
rs13198903 lBF = `81.2939` Chr`6` : `31,344,157`	0.533	0.467	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.533	0.467	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.533	0.467	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.533	0.467	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.533	0.467	0.000
rs10511052 lBF = `1.92327` Chr`3` : `76,725,903`	0.532	0.468	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.531	0.468	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.531	0.469	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.531	0.469	0.000
rs13220896 lBF = `12.8209` Chr`6` : `31,369,662`	0.530	0.469	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.530	0.470	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.529	0.471	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.529	0.471	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.528	0.472	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.528	0.472	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.528	0.472	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.526	0.473	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.525	0.475	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.525	0.475	0.000
rs148763909 lBF = `3.88471` Chr`5` : `153,837,106`	0.524	0.476	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.524	0.476	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.524	0.476	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.523	0.477	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.523	0.477	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.523	0.477	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.523	0.477	0.000
rs145669774 lBF = `5.67804` Chr`3` : `185,545,502`	0.523	0.477	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.522	0.478	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.522	0.478	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.521	0.479	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.521	0.479	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.519	0.481	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.519	0.481	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.519	0.481	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.519	0.481	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.518	0.481	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.518	0.482	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.518	0.482	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.518	0.482	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.518	0.482	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.518	0.482	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.517	0.482	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.517	0.483	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.516	0.483	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.516	0.484	0.000
rs62109865 lBF = `0.999309` Chr`19` : `13,037,734`	0.516	0.484	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.515	0.484	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.515	0.485	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.515	0.485	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.515	0.485	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.515	0.485	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.514	0.486	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.513	0.486	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.513	0.486	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.513	0.486	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.513	0.487	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.513	0.487	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.512	0.488	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.512	0.488	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.512	0.488	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.512	0.488	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.512	0.488	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.512	0.488	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.511	0.488	0.000
rs35836525 lBF = `18.108` Chr`2` : `97,601,693`	0.511	0.488	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.511	0.488	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.511	0.489	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.511	0.489	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.4694

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3643

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9845

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9840

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9703

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9597

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9567

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9446

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9374

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9368

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9329

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9187

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9171

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9120

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9076

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9008

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8936

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8935

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8890

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8812

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8802

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8780

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8767

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8729

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8726

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8717

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8716

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8618

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8565

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8544

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8538

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8417

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8416

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8414

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8369

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8347

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8319

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8306

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8244

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8194

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8086

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.8063

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8062

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8062

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7934

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7884

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7750

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7747

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7638

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7635

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7630

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7613

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7502

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7477

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7476

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7453

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7448

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7417

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7401

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7399

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7343

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7251

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7248

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7070

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7057

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6912

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6793

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6697

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6644

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6632

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6543

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6541

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6507

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6417

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6388

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6360

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6357

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6293

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6282

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5909

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5907

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5774

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5680

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5670

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5635

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5579

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5555

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5501

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5499

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5351

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5340

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5320

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5310

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5257

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5236

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5157

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.5091

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4918

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4754

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4709

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4691

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4514

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4442

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4257

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4213

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4100

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4045

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4044

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3949

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3936

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3787

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3779

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3617

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3542

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3523

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3469

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3321

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3268

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3252

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3100

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3051

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3047

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3042

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.3017

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3015

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.2853

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2746

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2733

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2718

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2689

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2685

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2677

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2535

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2454

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2411

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2353

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2340

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2335

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2305

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2299

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.2289

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2253

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2229

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2193

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2189

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2182

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2037

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1983

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1969

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1962

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1953

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1938

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1890

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1735

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1721

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1686

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1637

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1602

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1590

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1527

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1524

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1512

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.1508

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1459

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1383

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1330

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1324

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1236

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1199

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1183

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1153

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1051

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0883

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.0857

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0839

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0823

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0800

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0786

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0724

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0704

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0618

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0616

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0545

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0536

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0504

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0503

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`)