TreeWAS – [O33] Maternal care for known or suspected disproportion

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
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.812	0.188	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.801	0.199	0.000
rs61919599 lBF = `9.83827` Chr`12` : `528,351`	0.800	0.200	0.000
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.799	0.201	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.798	0.202	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.794	0.205	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.794	0.206	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.791	0.209	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.790	0.210	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.786	0.214	0.000
rs12743802 lBF = `12.0493` Chr`1` : `75,458,806`	0.783	0.217	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.782	0.218	0.000
rs12135062 lBF = `5.99481` Chr`1` : `3,103,312`	0.779	0.221	0.000
rs57551647 lBF = `6.18396` Chr`12` : `85,602,577`	0.778	0.222	0.000
rs10819009 lBF = `6.78047` Chr`9` : `98,367,811`	0.777	0.223	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.774	0.226	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.774	0.226	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.773	0.227	0.000
rs78046234 lBF = `9.70863` Chr`3` : `149,328,575`	0.772	0.228	0.000
rs73198922 lBF = `7.10026` Chr`8` : `10,958,663`	0.769	0.231	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.769	0.231	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.768	0.232	0.000
rs76178988 lBF = `5.33366` Chr`8` : `10,785,942`	0.765	0.235	0.000
rs3128935 lBF = `12.9734` Chr`6` : `32,972,404`	0.765	0.235	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.764	0.235	0.000
rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.764	0.236	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.763	0.237	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.762	0.237	0.000
rs73082331 lBF = `8.96863` Chr`3` : `48,994,943`	0.761	0.239	0.000
rs78807522 lBF = `10.1919` Chr`3` : `49,056,150`	0.760	0.240	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.760	0.240	0.000
rs1992284 lBF = `5.12033` Chr`2` : `43,065,555`	0.760	0.240	0.000
rs16919333 lBF = `7.20476` Chr`9` : `103,452,327`	0.759	0.241	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.758	0.242	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.756	0.244	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.756	0.244	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.755	0.245	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.754	0.246	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.752	0.248	0.000
rs870142 lBF = `1.33645` Chr`4` : `4,648,047`	0.747	0.253	0.000
rs3172494 lBF = `6.58272` Chr`3` : `48,731,487`	0.743	0.257	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.743	0.257	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.742	0.258	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.742	0.258	0.000
rs13195210 lBF = `65.5785` Chr`6` : `26,646,521`	0.739	0.261	0.000
rs17446324 lBF = `2.09498` Chr`7` : `83,157,804`	0.737	0.263	0.000
rs13085381 lBF = `10.9304` Chr`3` : `145,972,179`	0.736	0.264	0.000
rs72660931 lBF = `10.5803` Chr`1` : `25,752,282`	0.733	0.267	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.731	0.268	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.731	0.269	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.730	0.270	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.729	0.271	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.728	0.272	0.000
rs72660929 lBF = `14.2227` Chr`1` : `25,743,428`	0.722	0.278	0.000
rs6787231 lBF = `1.10831` Chr`3` : `20,957,810`	0.000	0.278	0.722
rs12566545 lBF = `5.07567` Chr`1` : `31,556,264`	0.000	0.280	0.720
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.719	0.281	0.000
rs72660956 lBF = `14.4052` Chr`1` : `25,800,018`	0.718	0.282	0.000
rs9295702 lBF = `66.9967` Chr`6` : `26,634,040`	0.717	0.283	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.717	0.283	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.717	0.283	0.000
Affx-20583135 lBF = `9.49321` Chr`2` : `82,456,396`	0.000	0.283	0.717
rs74088517 lBF = `6.49283` Chr`14` : `97,195,171`	0.717	0.283	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.717	0.283	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.717	0.283	0.000
rs17412357 lBF = `6.22841` Chr`14` : `32,976,219`	0.717	0.283	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.717	0.283	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.717	0.283	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.717	0.283	0.000
rs17072846 lBF = `6.35937` Chr`4` : `183,117,828`	0.717	0.283	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.717	0.283	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.717	0.283	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.717	0.283	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.717	0.283	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.717	0.283	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.717	0.283	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.717	0.283	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.717	0.283	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.717	0.283	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.717	0.283	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.717	0.283	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.717	0.283	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.717	0.283	0.000
rs11585842 lBF = `12.4024` Chr`1` : `245,841,531`	0.717	0.283	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.717	0.283	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.717	0.283	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.717	0.283	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.717	0.283	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.717	0.283	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.717	0.283	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.717	0.283	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.717	0.283	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.717	0.283	0.000
rs7865017 lBF = `5.62044` Chr`9` : `133,770,222`	0.000	0.283	0.717
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.716	0.283	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.716	0.283	0.000
rs2134039 lBF = `6.11532` Chr`12` : `101,928,424`	0.716	0.283	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.717	0.283	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.716	0.283	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.716	0.283	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.716	0.284	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.716	0.284	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.716	0.284	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.716	0.284	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.716	0.284	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.716	0.284	0.000
rs13215574 lBF = `14.0292` Chr`6` : `146,006,127`	0.716	0.284	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.716	0.284	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.716	0.284	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.716	0.284	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.716	0.284	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.716	0.284	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.716	0.284	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.716	0.284	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.716	0.284	0.000
rs11595238 lBF = `2.87726` Chr`10` : `101,930,409`	0.716	0.284	0.000
rs11232369 lBF = `8.62097` Chr`11` : `80,562,738`	0.716	0.284	0.000
rs12056809 lBF = `5.66393` Chr`8` : `107,927,732`	0.716	0.284	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.715	0.284	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.715	0.284	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.715	0.284	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.715	0.284	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.715	0.285	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.715	0.285	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.715	0.285	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.715	0.285	0.000
rs12085650 lBF = `5.18612` Chr`1` : `31,490,096`	0.000	0.285	0.715
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.715	0.285	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.715	0.285	0.000
rs17216525 lBF = `13.7081` Chr`19` : `19,662,220`	0.715	0.285	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.715	0.285	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.715	0.285	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.715	0.285	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.715	0.285	0.000
rs9366775 lBF = `32.0035` Chr`6` : `31,240,096`	0.715	0.285	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.715	0.285	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.715	0.285	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.715	0.285	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.715	0.285	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.715	0.285	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.715	0.285	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.715	0.285	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.715	0.285	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.715	0.285	0.000
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.715	0.285	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.715	0.285	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.715	0.285	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.715	0.285	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.715	0.285	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.715	0.285	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.715	0.285	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.714	0.285	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.714	0.286	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.714	0.286	0.000
rs11021370 lBF = `5.86896` Chr`11` : `95,726,855`	0.714	0.286	0.000
rs13279522 lBF = `1.21249` Chr`8` : `66,974,252`	0.714	0.286	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.714	0.286	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.714	0.286	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.714	0.286	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.714	0.286	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.714	0.286	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.714	0.286	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.714	0.286	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.714	0.286	0.000
rs78851502 lBF = `8.34221` Chr`12` : `40,811,944`	0.714	0.286	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.714	0.286	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.714	0.286	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.714	0.286	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.714	0.286	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.714	0.286	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.714	0.286	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.714	0.286	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.714	0.286	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.713	0.286	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.713	0.287	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.713	0.287	0.000
rs73167621 lBF = `14.0409` Chr`3` : `162,484,638`	0.713	0.287	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.713	0.287	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.713	0.287	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.713	0.287	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.713	0.287	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.713	0.287	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.713	0.287	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.713	0.287	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.713	0.287	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.713	0.287	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.713	0.287	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.713	0.287	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.713	0.287	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.713	0.287	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.712	0.287	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.712	0.287	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.712	0.287	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.712	0.288	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.712	0.288	0.000
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.712	0.288	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.712	0.288	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.712	0.288	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.712	0.288	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.712	0.288	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.712	0.288	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.712	0.288	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.712	0.288	0.000
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rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.696	0.303	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.696	0.304	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.696	0.304	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.696	0.304	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.696	0.304	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.696	0.304	0.000
rs10690822 lBF = `15.0738` Chr`14` : `24,646,406`	0.696	0.304	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.696	0.304	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.696	0.304	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.696	0.304	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.696	0.304	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.696	0.304	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.696	0.304	0.000
rs2290159 lBF = `1.06203` Chr`3` : `12,628,920`	0.000	0.304	0.696
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.696	0.304	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.695	0.304	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.695	0.305	0.000
rs76361614 lBF = `22.0553` Chr`2` : `37,527,216`	0.695	0.305	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.694	0.306	0.000
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.694	0.306	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.694	0.306	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.694	0.306	0.000
rs12141644 lBF = `14.0953` Chr`1` : `202,125,994`	0.693	0.306	0.000
rs9394047 lBF = `14.8238` Chr`6` : `31,236,250`	0.693	0.306	0.000
rs45585732 lBF = `23.7699` Chr`6` : `29,910,549`	0.693	0.307	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.693	0.307	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.693	0.307	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.693	0.307	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.693	0.307	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.693	0.307	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.693	0.307	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.693	0.307	0.000
rs75876943 lBF = `15.0045` Chr`12` : `86,555,845`	0.693	0.307	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.693	0.307	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.692	0.307	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.692	0.307	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.692	0.308	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.692	0.308	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.692	0.308	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.692	0.308	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.692	0.308	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.692	0.308	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.691	0.308	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.691	0.309	0.000
rs143954261 lBF = `3.1342` Chr`5` : `126,729,450`	0.691	0.309	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.691	0.309	0.000
rs2053302 lBF = `1.25399` Chr`1` : `190,841,673`	0.691	0.309	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.691	0.309	0.000
rs17564315 lBF = `2.57146` Chr`2` : `19,958,496`	0.000	0.309	0.691
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.691	0.309	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.691	0.309	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.690	0.309	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.690	0.310	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.690	0.310	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.690	0.310	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.690	0.310	0.000
rs59218290 lBF = `15.3723` Chr`11` : `131,807,633`	0.690	0.310	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.690	0.310	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.690	0.310	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.690	0.310	0.000
rs78266345 lBF = `11.4849` Chr`10` : `58,390,087`	0.690	0.310	0.000
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.690	0.310	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.689	0.310	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.689	0.311	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.689	0.311	0.000
rs9295984 lBF = `68.201` Chr`6` : `31,317,697`	0.689	0.311	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.689	0.311	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.689	0.311	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.689	0.311	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.689	0.311	0.000
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.688	0.311	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.688	0.312	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.688	0.312	0.000
rs79009591 lBF = `19.33` Chr`7` : `37,110,255`	0.688	0.312	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.688	0.312	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.000	0.312	0.688
rs17069122 lBF = `7.67561` Chr`6` : `108,323,759`	0.687	0.312	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.687	0.313	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.687	0.313	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.687	0.313	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.687	0.313	0.000
rs113123495 lBF = `7.90763` Chr`19` : `5,587,540`	0.687	0.313	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.686	0.313	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.686	0.314	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.686	0.314	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.686	0.314	0.000
rs117292830 lBF = `18.5393` Chr`6` : `31,218,268`	0.686	0.314	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.314	0.686
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.686	0.314	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.686	0.314	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.686	0.314	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.685	0.314	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.685	0.314	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.685	0.314	0.000
rs113373865 lBF = `13.4513` Chr`8` : `67,091,991`	0.685	0.315	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

0.7040

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4531

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9847

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9608

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9538

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9475

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8769

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8688

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.8601

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8583

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8531

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8426

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8405

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8370

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8207

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8092

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8048

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8043

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8008

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7984

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7962

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7926

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7915

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7907

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7888

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7881

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7873

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7871

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7841

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7776

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7772

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7766

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.7706

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7617

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7604

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7442

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7407

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7389

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7169

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7169

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7169

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7169

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7169

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7169

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7169

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7169

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7169

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7169

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7169

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7169

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7169

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7169

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7169

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7169

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7169

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7169

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7169

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7169

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7169

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7169

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7168

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7168

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7168

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7167

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7167

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7166

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7165

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7160

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7160

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7159

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7158

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7158

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7157

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7156

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7154

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7151

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7150

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7150

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7148

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7142

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7141

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7141

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7138

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7131

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7126

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7124

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7112

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7111

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7109

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7106

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7101

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7097

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7095

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7079

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7078

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7029

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7005

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7003

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7001

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6997

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6966

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6959

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6935

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6932

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6923

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6909

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6900

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6855

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6814

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6788

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6775

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6746

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6737

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6721

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6716

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6687

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6676

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6673

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6638

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6558

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6539

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6504

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6468

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6441

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6424

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6137

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6082

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6031

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5799

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5656

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5635

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5616

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5550

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5548

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5485

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5478

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5135

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4785

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4709

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4218

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4029

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3085

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2879

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2749

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2737

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2411

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2059

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1917

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1681

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1573

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1310

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1217

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1086

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1054

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0997

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0941

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0894

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0754

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0741

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0721

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0645

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.0622

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0588

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`)