TreeWAS – [O36.4] Maternal care for intra-uterine death

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
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.885	0.115	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.842	0.158	0.000
rs12410444 lBF = `1.56248` Chr`1` : `44,188,719`	0.835	0.165	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.830	0.170	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.812	0.188	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.809	0.191	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.805	0.195	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.796	0.204	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.795	0.205	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.789	0.211	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.772	0.228	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.771	0.229	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.770	0.230	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.769	0.231	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.768	0.232	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.768	0.232	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.767	0.233	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.763	0.237	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.760	0.240	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.755	0.245	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.754	0.246	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.748	0.252	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.746	0.254	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.744	0.256	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.743	0.257	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.741	0.259	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.736	0.264	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.733	0.267	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.731	0.269	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.731	0.269	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.730	0.270	0.000
rs13200797 lBF = `98.3608` Chr`6` : `26,122,957`	0.729	0.271	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.728	0.272	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.727	0.273	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.274	0.726
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.724	0.275	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.724	0.275	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.723	0.277	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.723	0.277	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.721	0.279	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.720	0.279	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.719	0.281	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.717	0.283	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.717	0.283	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.716	0.284	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.715	0.285	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.715	0.285	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.714	0.286	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.713	0.287	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.713	0.287	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.712	0.288	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.710	0.290	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.710	0.290	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.709	0.291	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.708	0.292	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.707	0.292	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.707	0.293	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.707	0.293	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.706	0.294	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.706	0.294	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.704	0.296	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.704	0.296	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.704	0.296	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.703	0.297	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.703	0.297	0.000
rs72660929 lBF = `14.2227` Chr`1` : `25,743,428`	0.703	0.297	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.702	0.297	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.702	0.298	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.700	0.300	0.000
rs1235153 lBF = `9.04692` Chr`12` : `48,110,325`	0.700	0.300	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.699	0.301	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.697	0.303	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.697	0.303	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.697	0.303	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.696	0.304	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.696	0.304	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.696	0.304	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.696	0.304	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.695	0.305	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.693	0.307	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.693	0.307	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.692	0.308	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.691	0.309	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.690	0.310	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.690	0.310	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.689	0.311	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.689	0.311	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.688	0.312	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.688	0.312	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.688	0.312	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.687	0.313	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.686	0.313	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.685	0.315	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.685	0.315	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.685	0.315	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.684	0.315	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.684	0.316	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.683	0.316	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.683	0.316	0.000
rs2290159 lBF = `1.06203` Chr`3` : `12,628,920`	0.000	0.317	0.683
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.683	0.317	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.682	0.317	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.682	0.317	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.681	0.319	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.680	0.320	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.679	0.320	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.679	0.320	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.679	0.321	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.678	0.322	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.677	0.323	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.676	0.323	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.676	0.324	0.000
rs114848727 lBF = `32.9543` Chr`6` : `58,744,020`	0.676	0.324	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.676	0.324	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.000	0.325	0.675
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.675	0.325	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.675	0.325	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.675	0.325	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.674	0.326	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.674	0.326	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.673	0.327	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.673	0.327	0.000
rs17064 lBF = `12.5491` Chr`7` : `87,133,470`	0.672	0.327	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.672	0.328	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.672	0.328	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.672	0.328	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.671	0.329	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.671	0.329	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.669	0.330	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.669	0.331	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.669	0.331	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.668	0.332	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.668	0.332	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.668	0.332	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.667	0.332	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.667	0.333	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.667	0.333	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.667	0.333	0.000
rs16891334 lBF = `95.5097` Chr`6` : `26,124,303`	0.667	0.333	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.667	0.333	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.665	0.335	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.664	0.335	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.664	0.336	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.664	0.336	0.000
rs12310380 lBF = `8.99711` Chr`12` : `104,478,790`	0.664	0.336	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.663	0.337	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.663	0.337	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.663	0.337	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.662	0.338	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.661	0.339	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.661	0.339	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.660	0.340	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.659	0.341	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.659	0.341	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.659	0.341	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.659	0.341	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.659	0.341	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.658	0.342	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.658	0.342	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.658	0.342	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.657	0.342	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.657	0.343	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.657	0.343	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.657	0.343	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.657	0.343	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.657	0.343	0.000
rs1045537 lBF = `94.9576` Chr`6` : `26,096,748`	0.657	0.343	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.656	0.344	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.656	0.344	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.654	0.345	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.654	0.346	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.346	0.654
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.653	0.347	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.653	0.347	0.000
rs12460850 lBF = `7.93312` Chr`19` : `4,742,238`	0.653	0.347	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.652	0.348	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.651	0.349	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.650	0.349	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.650	0.350	0.000
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.350	0.650
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.649	0.350	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.648	0.352	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.353	0.647
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.647	0.353	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.646	0.354	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.355	0.645
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.643	0.357	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.643	0.357	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.642	0.358	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.642	0.358	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.642	0.358	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.641	0.358	0.000
rs73144643 lBF = `11.2486` Chr`20` : `59,934,558`	0.641	0.359	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.641	0.359	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.640	0.360	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.640	0.360	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.640	0.360	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.360	0.640
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.640	0.360	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.639	0.361	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.639	0.361	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.638	0.362	0.000
rs114167782 lBF = `8.41965` Chr`7` : `116,939,287`	0.638	0.362	0.000
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rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.637	0.363	0.000
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rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.611	0.388	0.000
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rs11957407 lBF = `3.85379` Chr`5` : `31,917,242`	0.583	0.417	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.583	0.417	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.583	0.417	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.583	0.417	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.583	0.417	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.583	0.417	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.582	0.418	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.582	0.418	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.582	0.418	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.581	0.419	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.581	0.419	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.580	0.420	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.580	0.420	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.580	0.420	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.580	0.420	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.580	0.420	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.580	0.420	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.579	0.421	0.000
rs182503338 lBF = `4.85679` Chr`6` : `34,582,274`	0.579	0.421	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.579	0.421	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.579	0.421	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.579	0.421	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.579	0.421	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.578	0.421	0.000
rs201896893 lBF = `5.16721` Chr`20` : `61,472,115`	0.578	0.422	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.578	0.422	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.578	0.422	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.577	0.423	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.577	0.423	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.577	0.423	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.577	0.423	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.577	0.423	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.576	0.424	0.000
rs2470990 lBF = `3.04651` Chr`7` : `47,386,790`	0.576	0.424	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.425	0.575
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.574	0.426	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.574	0.426	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.573	0.427	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.572	0.427	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.571	0.429	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.571	0.429	0.000
rs16891315 lBF = `91.5417` Chr`6` : `26,111,756`	0.570	0.430	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.570	0.430	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.569	0.431	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.569	0.431	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.568	0.431	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.569	0.431	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.568	0.431	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.568	0.432	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.568	0.432	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.568	0.432	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.568	0.432	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.568	0.432	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.567	0.432	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.567	0.433	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.567	0.433	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.567	0.433	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.567	0.433	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.567	0.433	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.567	0.433	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.567	0.433	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.566	0.433	0.000
rs56183335 lBF = `6.66881` Chr`5` : `141,474,886`	0.566	0.433	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.566	0.434	0.000
rs11965763 lBF = `126.728` Chr`6` : `33,076,682`	0.566	0.434	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.566	0.434	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.566	0.434	0.000
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.566	0.434	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.566	0.434	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.566	0.434	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.565	0.434	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.565	0.435	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.564	0.435	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.564	0.436	0.000
rs114925849 lBF = `15.4352` Chr`5` : `108,554,590`	0.563	0.437	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.563	0.437	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.562	0.438	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.562	0.438	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.562	0.438	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.562	0.438	0.000
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.562	0.438	0.000
rs117439611 lBF = `14.8831` Chr`12` : `520,944`	0.562	0.438	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.561	0.439	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.561	0.439	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.561	0.439	0.000
rs2249031 lBF = `7.12134` Chr`11` : `105,800,066`	0.561	0.439	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.560	0.439	0.000
rs117681218 lBF = `15.1496` Chr`19` : `21,045,381`	0.560	0.440	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.560	0.440	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.560	0.440	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.559	0.440	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.559	0.440	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.559	0.440	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.559	0.441	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.559	0.441	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.558	0.442	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

0.5266

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2114

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9962

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9581

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9423

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9397

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9364

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9332

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8747

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8736

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8635

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8605

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8515

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8495

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8435

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8405

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8352

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8309

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8094

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8072

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8069

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.8066

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7962

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7873

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7816

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.7768

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7672

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7624

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7303

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7168

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7167

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7166

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7163

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7159

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7151

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7148

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7144

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7136

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7135

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7122

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7111

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7110

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7103

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7092

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7076

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7035

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7028

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7024

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7012

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7012

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7000

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6965

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6960

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6936

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6933

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6922

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6872

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6847

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6826

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6746

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6708

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6697

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6682

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6679

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6671

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6649

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6596

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6584

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6565

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6527

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6505

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6495

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6481

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6453

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6443

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6437

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6433

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6394

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6390

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6374

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6267

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6228

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6116

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6073

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6065

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5972

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5855

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5798

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5640

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5569

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5549

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5515

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5489

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5453

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5398

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5316

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5222

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5174

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5122

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5110

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5077

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5063

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4990

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4897

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4803

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4794

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4783

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4704

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4648

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4587

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.4518

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4463

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4331

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4293

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3972

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3902

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3892

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3815

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3750

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3634

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3486

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3479

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3261

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3166

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3127

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3035

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2669

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2582

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2472

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2398

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2361

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2278

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2253

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2147

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2125

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1997

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1847

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1534

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1501

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1468

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1428

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1417

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1405

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1045

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1038

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1015

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0981

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0887

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0865

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0857

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0849

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0817

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0814

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0803

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0795

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0748

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0603

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0586

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0535

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0527

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.0507

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`)