TreeWAS – [Z36.3] Antenatal screening for malformations using ultrasound and other physical methods

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
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.755	0.245	0.000
rs4800843 lBF = `0.665939` Chr`18` : `25,773,016`	0.708	0.292	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.626	0.374	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.603	0.397	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.573	0.427	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.553	0.447	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.525	0.475	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.505	0.495	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.469	0.531	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.448	0.552	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.426	0.574	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.396	0.603	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.396	0.603	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.392	0.607	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.381	0.618	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.364	0.636	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.361	0.639	0.000
rs142176337 lBF = `1.89382` Chr`18` : `57,581,487`	0.353	0.646	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.351	0.648	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.322	0.678	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.309	0.691	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.298	0.701	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.279	0.721	0.000
rs77753228 lBF = `5.4503` Chr`18` : `41,134,775`	0.278	0.722	0.000
rs185818984 lBF = `3.06107` Chr`18` : `22,958,783`	0.276	0.724	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.274	0.725	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.263	0.737	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.262	0.737	0.000
rs28496996 lBF = `0.602667` Chr`18` : `1,952,127`	0.261	0.739	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.260	0.739	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.260	0.740	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.260	0.740	0.000
rs75729340 lBF = `21.0937` Chr`18` : `31,480,742`	0.247	0.753	0.000
rs117411365 lBF = `26.5974` Chr`18` : `67,468,303`	0.236	0.763	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.234	0.766	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.229	0.771	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.227	0.773	0.000
rs9963330 lBF = `1.29194` Chr`18` : `56,020,509`	0.225	0.775	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.222	0.778	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.221	0.779	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.216	0.783	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.189	0.811	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.187	0.812	0.001
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.181	0.819	0.000
rs3914785 lBF = `2.08326` Chr`18` : `2,452,177`	0.177	0.822	0.001
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.176	0.824	0.000
rs72939083 lBF = `14.648` Chr`18` : `62,615,975`	0.173	0.827	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.168	0.831	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.166	0.834	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.164	0.835	0.001
rs356150 lBF = `0.411912` Chr`18` : `75,373,447`	0.156	0.844	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.155	0.845	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.154	0.845	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.146	0.854	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.144	0.855	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.144	0.855	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.139	0.861	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.136	0.864	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.133	0.866	0.000
rs78346601 lBF = `13.2849` Chr`18` : `54,574,972`	0.122	0.877	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.116	0.883	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.112	0.888	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.111	0.889	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.093	0.907	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.093	0.907	0.000
rs62085423 lBF = `13.4303` Chr`18` : `4,459,889`	0.088	0.912	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.081	0.918	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.070	0.930	0.000
rs73439953 lBF = `0.0860121` Chr`18` : `56,602,702`	0.069	0.931	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.068	0.931	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.066	0.933	0.001
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.057	0.941	0.002
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.059	0.941	0.000
rs16976358 lBF = `1.04673` Chr`18` : `40,191,571`	0.058	0.942	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.055	0.945	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.054	0.946	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.050	0.950	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.048	0.952	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.045	0.955	0.000
rs79765414 lBF = `2.16441` Chr`18` : `3,325,609`	0.040	0.959	0.001
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.040	0.960	0.000
rs1037757 lBF = `5.73579` Chr`18` : `56,752,054`	0.036	0.964	0.000
rs78788148 lBF = `0.180442` Chr`18` : `24,866,049`	0.035	0.964	0.001
rs11083271 lBF = `-0.0336809` Chr`18` : `25,926,059`	0.036	0.964	0.000
rs17656127 lBF = `11.4413` Chr`18` : `47,026,826`	0.035	0.964	0.000
rs10503015 lBF = `0.00963828` Chr`18` : `55,175,143`	0.000	0.966	0.033
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.030	0.970	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.027	0.973	0.000
rs16964886 lBF = `2.33933` Chr`18` : `31,321,994`	0.026	0.974	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.024	0.975	0.001
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.025	0.975	0.000
rs146408330 lBF = `0.056169` Chr`18` : `4,395,500`	0.022	0.977	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.018	0.982	0.000
rs79685532 lBF = `10.6212` Chr`18` : `77,725,683`	0.018	0.982	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.017	0.983	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.016	0.984	0.000
rs7240004 lBF = `0.792219` Chr`18` : `46,395,022`	0.011	0.989	0.000
rs4368243 lBF = `0.00166281` Chr`18` : `38,383,483`	0.010	0.990	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.010	0.990	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.009	0.990	0.001
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.009	0.991	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.008	0.991	0.000
rs8085804 lBF = `0.0949757` Chr`18` : `40,288,293`	0.008	0.992	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.007	0.992	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.002	0.993	0.006
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.006	0.993	0.000
rs2469434 lBF = `-0.0402043` Chr`18` : `67,544,046`	0.005	0.995	0.000
rs763361 lBF = `0.464979` Chr`18` : `67,531,642`	0.000	0.995	0.005
rs9675861 lBF = `-0.00714888` Chr`18` : `7,172,523`	0.004	0.996	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.004	0.996	0.000
rs8096445 lBF = `0.00588351` Chr`18` : `48,713,040`	0.004	0.996	0.000
rs727088 lBF = `0.518781` Chr`18` : `67,530,439`	0.000	0.996	0.004
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.004	0.996	0.000
rs4799964 lBF = `0.704227` Chr`18` : `27,985,479`	0.004	0.996	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.004	0.996	0.000
rs117869970 lBF = `11.9593` Chr`18` : `4,405,736`	0.003	0.996	0.000
rs9945268 lBF = `0.0105942` Chr`18` : `59,340,526`	0.000	0.996	0.004
rs113285159 lBF = `5.01196` Chr`18` : `40,971,984`	0.004	0.996	0.000
rs113568918 lBF = `0.457294` Chr`18` : `67,546,690`	0.004	0.996	0.000
rs1187256 lBF = `1.91798` Chr`18` : `35,295,330`	0.000	0.996	0.004
rs1187264 lBF = `0.165543` Chr`18` : `35,289,647`	0.000	0.996	0.004
rs1146075 lBF = `0.00363167` Chr`18` : `1,366,301`	0.000	0.997	0.003
rs11877305 lBF = `0.00431603` Chr`18` : `75,451,077`	0.003	0.997	0.000
rs11875185 lBF = `0.0153574` Chr`18` : `55,627,840`	0.003	0.997	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.003	0.997	0.000
rs17207042 lBF = `0.363174` Chr`18` : `67,537,351`	0.000	0.997	0.003
rs12969657 lBF = `0.440144` Chr`18` : `67,536,496`	0.000	0.997	0.003
rs17492699 lBF = `0.00291966` Chr`18` : `25,480,514`	0.002	0.997	0.000
rs17058466 lBF = `-0.00023739` Chr`18` : `73,605,345`	0.003	0.997	0.000
rs1126214 lBF = `-0.0811569` Chr`18` : `28,639,548`	0.000	0.998	0.002
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.002	0.998	0.000
rs7243066 lBF = `-0.0706306` Chr`18` : `11,282,319`	0.002	0.998	0.000
rs16958432 lBF = `2.3429` Chr`18` : `44,631,773`	0.002	0.998	0.000
rs16958440 lBF = `2.3429` Chr`18` : `44,632,884`	0.002	0.998	0.000
rs11664536 lBF = `0.0347783` Chr`18` : `5,578,982`	0.000	0.998	0.002
rs1618992 lBF = `0.12992` Chr`18` : `26,246,051`	0.002	0.998	0.000
rs470490 lBF = `-0.127231` Chr`18` : `63,031,236`	0.002	0.998	0.000
rs17750321 lBF = `0.00425969` Chr`18` : `35,078,682`	0.002	0.998	0.000
rs56728521 lBF = `-0.0617335` Chr`18` : `1,984,421`	0.002	0.998	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.002	0.998	0.000
rs17512836 lBF = `1.35567` Chr`18` : `53,194,961`	0.002	0.998	0.000
rs2980976 lBF = `0.0327223` Chr`18` : `60,080,112`	0.002	0.998	0.000
rs149615216 lBF = `5.16337` Chr`18` : `47,106,028`	0.002	0.998	0.000
rs72963233 lBF = `0.279766` Chr`18` : `31,929,247`	0.000	0.998	0.002
rs2864527 lBF = `-0.00619084` Chr`18` : `9,288,456`	0.000	0.998	0.002
rs4573996 lBF = `0.0575841` Chr`18` : `76,494,592`	0.000	0.998	0.002
rs4800148 lBF = `0.137038` Chr`18` : `20,724,328`	0.000	0.998	0.002
rs4331426 lBF = `0.0201478` Chr`18` : `20,190,795`	0.002	0.998	0.000
rs2032366 lBF = `-0.0463535` Chr`18` : `59,266,371`	0.002	0.998	0.000
rs116303449 lBF = `0.0012028` Chr`18` : `32,956,931`	0.001	0.998	0.000
rs11661646 lBF = `0.617595` Chr`18` : `65,483,812`	0.002	0.998	0.000
rs16977065 lBF = `0.00471124` Chr`18` : `40,437,651`	0.001	0.998	0.001
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.001	0.998	0.001
rs75687134 lBF = `0.409603` Chr`18` : `65,472,043`	0.001	0.999	0.000
rs11660238 lBF = `0.398846` Chr`18` : `65,470,134`	0.001	0.999	0.000
rs74789784 lBF = `0.397214` Chr`18` : `65,471,518`	0.001	0.999	0.000
rs555267 lBF = `0.0256763` Chr`18` : `40,992,698`	0.001	0.999	0.000
rs17086172 lBF = `0.0126079` Chr`18` : `70,227,021`	0.000	0.999	0.001
rs4800451 lBF = `-0.0407049` Chr`18` : `20,716,805`	0.000	0.999	0.001
rs6506284 lBF = `0.00043585` Chr`18` : `5,030,023`	0.001	0.999	0.000
rs8097810 lBF = `0.0150825` Chr`18` : `23,785,648`	0.001	0.999	0.000
rs4327120 lBF = `-0.0185945` Chr`18` : `36,532,976`	0.001	0.999	0.000
rs9951602 lBF = `-0.029318` Chr`18` : `76,657,779`	0.000	0.999	0.001
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.001	0.999	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.001	0.999	0.001
rs10502575 lBF = `0.0134591` Chr`18` : `29,336,591`	0.001	0.999	0.000
rs1805081 lBF = `0.0703408` Chr`18` : `21,140,432`	0.001	0.999	0.000
rs75000611 lBF = `0.00043597` Chr`18` : `77,328,615`	0.001	0.999	0.000
rs188403275 lBF = `0.470526` Chr`18` : `35,015,148`	0.001	0.999	0.000
rs11082321 lBF = `-0.0346267` Chr`18` : `20,776,651`	0.000	0.999	0.001
rs7233060 lBF = `0.033984` Chr`18` : `77,392,379`	0.001	0.999	0.000
rs9949526 lBF = `0.00125912` Chr`18` : `77,374,321`	0.000	0.999	0.001
rs637644 lBF = `-0.109801` Chr`18` : `62,898,666`	0.000	0.999	0.001
rs117131051 lBF = `12.836` Chr`18` : `25,336,648`	0.001	0.999	0.001
rs11564386 lBF = `0.195996` Chr`18` : `25,700,791`	0.001	0.999	0.000
rs8083432 lBF = `0.00600591` Chr`18` : `22,731,360`	0.000	0.999	0.001
rs9949121 lBF = `-0.0377958` Chr`18` : `42,306,884`	0.000	0.999	0.001
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.001	0.999	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.000	0.999	0.001
rs28877609 lBF = `0.0005859` Chr`18` : `2,865,505`	0.001	0.999	0.000
rs11877878 lBF = `0.22366` Chr`18` : `23,764,235`	0.001	0.999	0.000
rs7238309 lBF = `0.00002807` Chr`18` : `55,145,692`	0.001	0.999	0.000
rs681383 lBF = `-0.0461021` Chr`18` : `8,323,984`	0.001	0.999	0.000
rs143037915 lBF = `0.00006957` Chr`18` : `44,973,221`	0.001	0.999	0.000
rs2168303 lBF = `0.00005588` Chr`18` : `58,375,934`	0.001	0.999	0.000
rs72932713 lBF = `10.0951` Chr`18` : `53,186,911`	0.000	0.999	0.001
rs9950590 lBF = `0.00003279` Chr`18` : `8,043,661`	0.001	0.999	0.000
rs141318925 lBF = `0` Chr`18` : `6,623,040`	0.001	0.999	0.001
rs148133787 lBF = `0` Chr`18` : `25,227,459`	0.001	0.999	0.001
rs184167040 lBF = `0` Chr`18` : `39,038,041`	0.001	0.999	0.001
rs190650493 lBF = `0` Chr`18` : `30,625,009`	0.001	0.999	0.001
rs9948784 lBF = `0` Chr`18` : `72,897,161`	0.001	0.999	0.001
rs148187869 lBF = `0` Chr`18` : `25,261,838`	0.001	0.999	0.001
rs190343823 lBF = `0` Chr`18` : `33,835,336`	0.001	0.999	0.001
rs192178588 lBF = `0` Chr`18` : `25,223,007`	0.001	0.999	0.001
rs145717157 lBF = `0` Chr`18` : `26,713,277`	0.001	0.999	0.001
rs148138116 lBF = `0` Chr`18` : `53,201,480`	0.001	0.999	0.001
rs141475580 lBF = `0` Chr`18` : `5,936,481`	0.001	0.999	0.001
rs138098194 lBF = `0` Chr`18` : `64,507,408`	0.001	0.999	0.001
rs146111930 lBF = `0` Chr`18` : `25,262,370`	0.001	0.999	0.001
rs116989867 lBF = `0` Chr`18` : `77,172,316`	0.001	0.999	0.001
rs75433892 lBF = `0` Chr`18` : `11,712,922`	0.001	0.999	0.001
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rs62097986 lBF = `5.33339` Chr`18` : `50,818,827`	0.000	1.000	0.000
rs1539809 lBF = `0.313873` Chr`18` : `5,529,675`	0.000	1.000	0.000
rs12326088 lBF = `0.118065` Chr`18` : `73,507,569`	0.000	1.000	0.000
rs10438978 lBF = `0.0708836` Chr`18` : `47,158,186`	0.000	1.000	0.000
rs6565887 lBF = `0.00863623` Chr`18` : `74,182,975`	0.000	1.000	0.000
rs1826508 lBF = `0.0032493` Chr`18` : `1,206,984`	0.000	1.000	0.000
rs4939883 lBF = `0.00113261` Chr`18` : `47,167,214`	0.000	1.000	0.000
rs12604324 lBF = `-0.00214165` Chr`18` : `21,744,432`	0.000	1.000	0.000
rs275856 lBF = `-0.0230627` Chr`18` : `21,839,152`	0.000	1.000	0.000
rs9961574 lBF = `-0.039267` Chr`18` : `8,536,116`	0.000	1.000	0.000
rs2298574 lBF = `-0.0474444` Chr`18` : `25,569,058`	0.000	1.000	0.000
rs10438933 lBF = `-0.0554992` Chr`18` : `29,273,129`	0.000	1.000	0.000
rs4145170 lBF = `-0.0718125` Chr`18` : `26,676,672`	0.000	1.000	0.000
rs2345595 lBF = `4.1268` Chr`18` : `1,818,385`	0.000	1.000	0.000
rs7230711 lBF = `1.57411` Chr`18` : `48,690,619`	0.000	1.000	0.000
rs7231412 lBF = `0.776366` Chr`18` : `40,105,657`	0.000	1.000	0.000
rs7240405 lBF = `0.0955091` Chr`18` : `47,159,090`	0.000	1.000	0.000
rs12458491 lBF = `0.0419281` Chr`18` : `35,307,820`	0.000	1.000	0.000
rs12457254 lBF = `-0.0200572` Chr`18` : `55,637,712`	0.000	1.000	0.000
rs12165098 lBF = `-0.0207157` Chr`18` : `36,680,499`	0.000	1.000	0.000
rs1120787 lBF = `-0.0384799` Chr`18` : `54,983,554`	0.000	1.000	0.000
rs11152166 lBF = `-0.0482792` Chr`18` : `57,314,807`	0.000	1.000	0.000
rs473518 lBF = `-0.0490527` Chr`18` : `20,084,674`	0.000	1.000	0.000
rs2887004 lBF = `-0.0723229` Chr`18` : `69,379,390`	0.000	1.000	0.000
rs8094794 lBF = `-0.0790488` Chr`18` : `34,252,749`	0.000	1.000	0.000
rs2002842 lBF = `-0.106103` Chr`18` : `76,409,597`	0.000	1.000	0.000
rs7237497 lBF = `11.9138` Chr`18` : `12,777,325`	0.000	1.000	0.000
rs489693 lBF = `3.18069` Chr`18` : `57,882,787`	0.000	1.000	0.000
rs1346987 lBF = `0.787418` Chr`18` : `40,102,641`	0.000	1.000	0.000
rs4800353 lBF = `0.237395` Chr`18` : `19,654,137`	0.000	1.000	0.000
rs10503019 lBF = `0.0660409` Chr`18` : `55,454,377`	0.000	1.000	0.000
rs2156552 lBF = `0.0253551` Chr`18` : `47,181,668`	0.000	1.000	0.000
rs7233332 lBF = `-0.0206989` Chr`18` : `9,784,914`	0.000	1.000	0.000
rs62090893 lBF = `-0.0408889` Chr`18` : `73,050,334`	0.000	1.000	0.000
rs17084405 lBF = `-0.0420614` Chr`18` : `69,096,398`	0.000	1.000	0.000
rs56308049 lBF = `5.33128` Chr`18` : `27,976,836`	0.000	1.000	0.000
rs4632195 lBF = `4.33747` Chr`18` : `50,746,748`	0.000	1.000	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	1.000	0.000
rs12606301 lBF = `0.465056` Chr`18` : `40,023,782`	0.000	1.000	0.000
rs16942421 lBF = `0.282577` Chr`18` : `24,156,425`	0.000	1.000	0.000
rs8090196 lBF = `0.155151` Chr`18` : `40,075,956`	0.000	1.000	0.000
rs346452 lBF = `0.0727667` Chr`18` : `39,940,966`	0.000	1.000	0.000
rs7506045 lBF = `0.0511143` Chr`18` : `11,987,272`	0.000	1.000	0.000
rs357894 lBF = `0.0370841` Chr`18` : `46,579,970`	0.000	1.000	0.000
rs4528660 lBF = `-0.0144934` Chr`18` : `3,043,516`	0.000	1.000	0.000
rs62096106 lBF = `-0.0161061` Chr`18` : `59,838,919`	0.000	1.000	0.000
rs7240206 lBF = `-0.0215768` Chr`18` : `74,435,154`	0.000	1.000	0.000
rs11081417 lBF = `-0.0246968` Chr`18` : `897,091`	0.000	1.000	0.000
rs1941184 lBF = `-0.0248336` Chr`18` : `29,038,123`	0.000	1.000	0.000
rs12455924 lBF = `-0.0341717` Chr`18` : `11,064,409`	0.000	1.000	0.000
rs9947276 lBF = `-0.0407726` Chr`18` : `72,492,689`	0.000	1.000	0.000
rs12957214 lBF = `-0.0563195` Chr`18` : `36,935,540`	0.000	1.000	0.000
rs16953013 lBF = `9.1474` Chr`18` : `48,780,405`	0.000	1.000	0.000
rs307120 lBF = `0.849388` Chr`18` : `37,619,939`	0.000	1.000	0.000
rs17697518 lBF = `0.615094` Chr`18` : `38,765,659`	0.000	1.000	0.000
rs12455557 lBF = `0.122909` Chr`18` : `46,317,088`	0.000	1.000	0.000
rs7236492 lBF = `0.0825699` Chr`18` : `77,220,616`	0.000	1.000	0.000
rs11663316 lBF = `0.0503791` Chr`18` : `9,027,914`	0.000	1.000	0.000
rs11150911 lBF = `0.0317226` Chr`18` : `73,498,528`	0.000	1.000	0.000
rs768048 lBF = `0.0126005` Chr`18` : `50,285,398`	0.000	1.000	0.000
rs145583025 lBF = `0.00517223` Chr`18` : `14,443,241`	0.000	1.000	0.000
rs9947295 lBF = `0.00305306` Chr`18` : `11,759,432`	0.000	1.000	0.000
rs58263042 lBF = `-0.00749228` Chr`18` : `29,979,575`	0.000	1.000	0.000
rs56775891 lBF = `-0.0160958` Chr`18` : `77,575,613`	0.000	1.000	0.000
rs9949617 lBF = `-0.0181437` Chr`18` : `20,879,217`	0.000	1.000	0.000
rs17574271 lBF = `-0.0190117` Chr`18` : `3,970,124`	0.000	1.000	0.000
rs12605822 lBF = `-0.0419833` Chr`18` : `9,296,524`	0.000	1.000	0.000
rs10502675 lBF = `-0.0444613` Chr`18` : `35,198,296`	0.000	1.000	0.000
rs11662748 lBF = `-0.0461203` Chr`18` : `5,762,618`	0.000	1.000	0.000
rs72943036 lBF = `15.0243` Chr`18` : `60,845,776`	0.000	1.000	0.000
rs4372758 lBF = `5.5759` Chr`18` : `50,683,306`	0.000	1.000	0.000
rs7243357 lBF = `0.412815` Chr`18` : `56,883,319`	0.000	1.000	0.000
rs12964323 lBF = `0.0316072` Chr`18` : `65,718,956`	0.000	1.000	0.000
rs1704734 lBF = `0.0103991` Chr`18` : `66,314,072`	0.000	1.000	0.000
rs8087995 lBF = `-0.00275216` Chr`18` : `65,723,001`	0.000	1.000	0.000
rs72881251 lBF = `-0.00308421` Chr`18` : `22,674,660`	0.000	1.000	0.000
rs9959145 lBF = `-0.0319048` Chr`18` : `12,606,463`	0.000	1.000	0.000
rs1940973 lBF = `-0.0337389` Chr`18` : `12,550,747`	0.000	1.000	0.000
rs1619249 lBF = `-0.0439138` Chr`18` : `49,190,644`	0.000	1.000	0.000
rs9807334 lBF = `-0.0439374` Chr`18` : `48,524,161`	0.000	1.000	0.000
rs403814 lBF = `-0.0540524` Chr`18` : `6,282,593`	0.000	1.000	0.000
rs12456874 lBF = `-0.0687189` Chr`18` : `13,366,862`	0.000	1.000	0.000
rs17184557 lBF = `-0.0772357` Chr`18` : `67,142,857`	0.000	1.000	0.000
rs8090011 lBF = `-0.0802689` Chr`18` : `7,068,462`	0.000	1.000	0.000
rs605920 lBF = `-0.100958` Chr`18` : `62,884,918`	0.000	1.000	0.000
rs17650376 lBF = `5.4549` Chr`18` : `3,864,912`	0.000	1.000	0.000
rs10469074 lBF = `0.818794` Chr`18` : `75,110,360`	0.000	1.000	0.000
rs66591657 lBF = `0.188644` Chr`18` : `76,415,450`	0.000	1.000	0.000
rs1808579 lBF = `0.154254` Chr`18` : `21,104,888`	0.000	1.000	0.000
rs12458130 lBF = `0.124301` Chr`18` : `8,667,061`	0.000	1.000	0.000
rs8083633 lBF = `0.0866349` Chr`18` : `3,522,006`	0.000	1.000	0.000
rs12607903 lBF = `0.0606153` Chr`18` : `3,817,134`	0.000	1.000	0.000
rs9952641 lBF = `0.0229198` Chr`18` : `318,040`	0.000	1.000	0.000
rs10460009 lBF = `0.00915213` Chr`18` : `2,948,029`	0.000	1.000	0.000
rs4799088 lBF = `-0.0108338` Chr`18` : `77,573,548`	0.000	1.000	0.000
rs8089099 lBF = `-0.0257521` Chr`18` : `10,078,071`	0.000	1.000	0.000
rs4398173 lBF = `-0.0388361` Chr`18` : `6,941,108`	0.000	1.000	0.000
rs7238078 lBF = `-0.042104` Chr`18` : `56,384,192`	0.000	1.000	0.000
rs4553720 lBF = `-0.0567951` Chr`18` : `62,170,726`	0.000	1.000	0.000
rs12967884 lBF = `-0.0569123` Chr`18` : `76,591,635`	0.000	1.000	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2460

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1203

Cluster X0036

log Bayes Factor = 43.2308

contains 4 variants

0.0884

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9994

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9915

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9838

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9835

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9706

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9634

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9616

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9547

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9505

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9432

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9366

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9314

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9298

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9248

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9129

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9037

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9021

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8888

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8753

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8690

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8669

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8654

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8558

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8296

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8023

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7841

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7755

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7740

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7726

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7720

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7686

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7674

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7610

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7606

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7548

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7524

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7523

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7406

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7314

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7300

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7220

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7183

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6980

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6853

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6723

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6689

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6538

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6400

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6391

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6199

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6173

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6152

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6126

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5921

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5748

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5659

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5616

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5612

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4988

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4953

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4918

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4893

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4893

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4871

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4854

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4854

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4654

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.4615

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4486

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3970

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3753

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3746

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3633

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3627

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3579

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3361

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3351

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3178

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3107

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2983

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2932

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2701

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2654

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2583

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2436

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2408

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2345

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2149

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2118

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2060

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2048

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2045

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2007

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1986

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1925

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1885

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1867

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1832

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1808

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1779

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1775

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.1761

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1688

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1677

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1644

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1643

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1591

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1561

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1551

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1491

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1459

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1438

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1431

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1089

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0959

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0924

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0875

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0857

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0692

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0689

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0687

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0639

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`)