TreeWAS – [O36.5] Maternal care for poor foetal growth

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
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.028	0.972
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.969	0.031	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.969	0.031	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.051	0.949
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.913	0.087	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.910	0.090	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.910	0.090	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.904	0.096	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.899	0.101	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.897	0.103	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.896	0.104	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.895	0.105	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.893	0.107	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.888	0.112	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.887	0.113	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.886	0.114	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.886	0.114	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.884	0.116	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.870	0.130	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.870	0.130	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.869	0.131	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.866	0.134	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.863	0.137	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.863	0.137	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.856	0.144	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.855	0.145	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.853	0.147	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.847	0.153	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.846	0.154	0.000
rs62424573 lBF = `10.2915` Chr`6` : `62,235,412`	0.845	0.155	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.845	0.155	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.844	0.156	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.843	0.157	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.842	0.158	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.838	0.162	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.837	0.163	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.837	0.163	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.829	0.171	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.828	0.172	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.825	0.175	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.823	0.177	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.822	0.178	0.000
rs72660929 lBF = `14.2227` Chr`1` : `25,743,428`	0.817	0.183	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.814	0.186	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.812	0.188	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.812	0.188	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.811	0.189	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.807	0.193	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.804	0.196	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.802	0.198	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.797	0.202	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.795	0.205	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.794	0.206	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.794	0.206	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.791	0.209	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.790	0.210	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.790	0.210	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.790	0.210	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.790	0.210	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.212	0.788
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.787	0.213	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.786	0.214	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.215	0.785
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.785	0.215	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.784	0.216	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.783	0.217	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.783	0.217	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.780	0.220	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.780	0.220	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.779	0.221	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.777	0.223	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.776	0.224	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.775	0.225	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.774	0.226	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.772	0.228	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.771	0.229	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.771	0.229	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.770	0.230	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.769	0.231	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.769	0.231	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.768	0.232	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.768	0.232	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.767	0.233	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.765	0.235	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.763	0.237	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.763	0.237	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.762	0.238	0.000
rs116853542 lBF = `17.1118` Chr`7` : `18,656,230`	0.760	0.240	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.759	0.241	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.758	0.242	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.758	0.242	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.757	0.243	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.757	0.243	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.755	0.245	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.752	0.248	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.750	0.250	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.750	0.250	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.749	0.251	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.747	0.253	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.747	0.253	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.747	0.253	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.745	0.255	0.000
rs17207986 lBF = `30.3956` Chr`6` : `32,079,567`	0.745	0.255	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.742	0.258	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.742	0.258	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.740	0.260	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.740	0.260	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.739	0.261	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.738	0.262	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.736	0.264	0.000
rs12199630 lBF = `16.9642` Chr`6` : `63,634,905`	0.736	0.264	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.734	0.266	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.733	0.267	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.732	0.268	0.000
rs77657273 lBF = `15.1219` Chr`14` : `35,139,957`	0.730	0.270	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.730	0.270	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.729	0.271	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.728	0.272	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.728	0.272	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.726	0.274	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.725	0.275	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.724	0.276	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.723	0.277	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.721	0.279	0.000
rs12039519 lBF = `3.41232` Chr`1` : `161,953,400`	0.721	0.279	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.720	0.280	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.720	0.280	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.719	0.281	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.719	0.281	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.718	0.282	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.718	0.282	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.717	0.282	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.284	0.716
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.716	0.284	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.714	0.286	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.712	0.288	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.712	0.288	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.711	0.288	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.711	0.289	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.711	0.289	0.000
rs115683773 lBF = `1.99043` Chr`4` : `175,125,429`	0.709	0.291	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.708	0.292	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.708	0.292	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.708	0.292	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.707	0.292	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.707	0.293	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.707	0.293	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.706	0.294	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.705	0.295	0.000
rs76024631 lBF = `30.2245` Chr`6` : `32,088,988`	0.704	0.296	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.703	0.297	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.703	0.297	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.700	0.300	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.699	0.301	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.698	0.302	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.698	0.302	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.697	0.303	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.697	0.303	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.696	0.304	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.693	0.307	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.693	0.307	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.692	0.308	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.690	0.310	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.690	0.310	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.689	0.311	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.688	0.312	0.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.688	0.312	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.688	0.312	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.688	0.312	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.688	0.312	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.684	0.316	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.684	0.316	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.684	0.316	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.682	0.318	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.680	0.320	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.680	0.320	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.680	0.320	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.680	0.320	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.680	0.320	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.679	0.320	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.678	0.322	0.000
rs116916924 lBF = `15.3017` Chr`11` : `48,269,422`	0.678	0.322	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.322	0.677
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.677	0.323	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.677	0.323	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.677	0.323	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.677	0.323	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.676	0.324	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.676	0.324	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.675	0.324	0.000
rs6684514 lBF = `2.53209` Chr`1` : `156,255,456`	0.000	0.325	0.675
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.674	0.326	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.673	0.327	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.673	0.327	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.672	0.327	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.672	0.328	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.672	0.328	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.671	0.329	0.000
rs182503338 lBF = `4.85679` Chr`6` : `34,582,274`	0.671	0.329	0.000
rs117682147 lBF = `15.1352` Chr`10` : `58,582,130`	0.670	0.330	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.670	0.330	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.670	0.330	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.670	0.330	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.670	0.330	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.670	0.330	0.000
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rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.669	0.331	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.669	0.331	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.668	0.332	0.000
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rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.667	0.333	0.000
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rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.666	0.334	0.000
rs870142 lBF = `1.33645` Chr`4` : `4,648,047`	0.664	0.336	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.664	0.336	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.664	0.336	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.664	0.336	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.664	0.336	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.663	0.337	0.000
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rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.662	0.338	0.000
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rs6435999 lBF = `1.74683` Chr`2` : `218,523,162`	0.657	0.343	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.657	0.343	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.656	0.344	0.000
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rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.655	0.345	0.000
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rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.652	0.348	0.000
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rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.651	0.349	0.000
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rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.651	0.349	0.000
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rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.650	0.350	0.000
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rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.648	0.352	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.648	0.352	0.000
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rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.646	0.354	0.000
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rs112458284 lBF = `13.1757` Chr`14` : `94,672,731`	0.594	0.405	0.000
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.594	0.406	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.594	0.406	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.594	0.406	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.594	0.406	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.593	0.407	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.593	0.407	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.593	0.407	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.593	0.407	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.591	0.408	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.591	0.409	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.590	0.410	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.590	0.410	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.590	0.410	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.590	0.410	0.000
rs56890907 lBF = `17.4615` Chr`3` : `196,673,831`	0.590	0.410	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.589	0.411	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.589	0.411	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.589	0.411	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.589	0.411	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.588	0.412	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.587	0.412	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.587	0.413	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.586	0.414	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.585	0.414	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.585	0.415	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.585	0.415	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.584	0.415	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.584	0.416	0.000
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.584	0.416	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.584	0.416	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.583	0.417	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.582	0.418	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.582	0.418	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.582	0.418	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.581	0.419	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.581	0.419	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.581	0.419	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.580	0.420	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.580	0.420	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.579	0.421	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.579	0.421	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.579	0.421	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.579	0.421	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.578	0.421	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.578	0.422	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.578	0.422	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.578	0.422	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.578	0.422	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.577	0.423	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.577	0.423	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.577	0.423	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.577	0.423	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.577	0.423	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.577	0.423	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.576	0.424	0.000
rs181741409 lBF = `4.98731` Chr`6` : `45,157,786`	0.576	0.424	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.575	0.425	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.575	0.425	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.574	0.426	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.573	0.427	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.573	0.427	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.573	0.427	0.000
rs114067101 lBF = `8.53644` Chr`6` : `32,457,960`	0.572	0.427	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.572	0.428	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.571	0.429	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.571	0.429	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.571	0.429	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.570	0.430	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.570	0.430	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.570	0.430	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.570	0.430	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.569	0.431	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.569	0.431	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.569	0.431	0.000
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.569	0.431	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.568	0.431	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.568	0.431	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.568	0.432	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.568	0.432	0.000
rs146771634 lBF = `3.70888` Chr`11` : `34,881,635`	0.568	0.432	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.568	0.432	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.568	0.432	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.568	0.432	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.567	0.433	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.566	0.434	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.566	0.434	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.566	0.434	0.000
rs9332735 lBF = `18.6446` Chr`6` : `31,901,773`	0.565	0.435	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.565	0.435	0.000
rs114009002 lBF = `9.53625` Chr`5` : `5,784,492`	0.565	0.435	0.000
rs75262317 lBF = `7.62584` Chr`6` : `16,992,933`	0.564	0.436	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.564	0.436	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.564	0.436	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.564	0.436	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.564	0.436	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

0.9012

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2783

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9817

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9745

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9660

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.9639

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9598

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9595

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9572

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9494

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9480

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9471

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9468

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9436

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9422

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9418

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9326

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9288

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9268

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9248

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9230

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9191

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9175

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9164

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9136

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9098

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9021

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8896

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8815

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8790

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8657

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8639

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8563

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8562

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8507

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8496

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8369

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8317

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8193

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8166

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8140

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8089

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8040

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7919

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7857

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7781

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7664

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7619

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7604

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7595

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7287

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.7152

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7147

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7123

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7119

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7048

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6975

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6960

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6893

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6847

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6775

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6766

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6756

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6484

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6303

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6253

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6236

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6169

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5957

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5938

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5893

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5815

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5691

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5677

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5663

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5649

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5635

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5603

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5577

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5535

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5529

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5365

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5326

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5286

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5258

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5172

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5063

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4963

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4832

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4823

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4776

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4556

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4138

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3930

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3764

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3750

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3743

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3626

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3530

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3359

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3325

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3298

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3296

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3234

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3175

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3152

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3126

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2881

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2870

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2813

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2694

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2643

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2602

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.2367

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2284

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2079

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2002

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1985

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1887

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1877

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1825

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.1513

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1449

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1290

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1256

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1145

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1068

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0972

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0937

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0929

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0908

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0892

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0810

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0782

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0754

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0701

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0689

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0647

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0565

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0505

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`)