TreeWAS – [O13] Gestational [pregnancy-induced] hypertension without significant proteinuria

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
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.879	0.121	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.813	0.187	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.800	0.200	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.788	0.212	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.773	0.227	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.760	0.240	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.760	0.240	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.753	0.247	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.714	0.286	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.697	0.303	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.676	0.324	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.645	0.355	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.643	0.357	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.643	0.357	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.629	0.371	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.382	0.618
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.610	0.390	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.595	0.405	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.593	0.407	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.590	0.410	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.588	0.412	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.586	0.414	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.566	0.434	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.562	0.438	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.553	0.447	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.544	0.456	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.541	0.459	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.522	0.478	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.506	0.494	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.502	0.498	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.492	0.507	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.474	0.526	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.471	0.529	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.465	0.535	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.446	0.554	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.441	0.559	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.430	0.570	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.429	0.571	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.425	0.574	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.419	0.581	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.418	0.582	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.418	0.582	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.416	0.584	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.413	0.587	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.412	0.588	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.411	0.588	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.411	0.589	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.409	0.591	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.407	0.593	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.400	0.599	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.393	0.607	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.391	0.609	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.388	0.612	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.383	0.617	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.382	0.618	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.380	0.620	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.376	0.624	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.375	0.624	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.364	0.636	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.363	0.636	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.359	0.640	0.001
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.356	0.644	0.001
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.356	0.644	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.356	0.644	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.348	0.652	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.347	0.653	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.339	0.660	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.339	0.661	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.338	0.662	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.330	0.669	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.320	0.680	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.319	0.680	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.319	0.680	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.312	0.687	0.001
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.312	0.688	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.307	0.693	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.301	0.699	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.300	0.700	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.285	0.714	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.284	0.716	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.280	0.719	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.279	0.721	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.276	0.724	0.001
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.272	0.728	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.268	0.732	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.267	0.732	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.265	0.735	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.262	0.738	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.256	0.744	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.249	0.751	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.244	0.755	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.244	0.756	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.239	0.761	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.230	0.770	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.228	0.772	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.221	0.779	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.207	0.792	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.207	0.792	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.204	0.796	0.001
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.202	0.797	0.001
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.199	0.801	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.195	0.805	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.811	0.188
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.188	0.812	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.183	0.817	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.173	0.827	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.170	0.829	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.165	0.835	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.161	0.839	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.155	0.845	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.148	0.851	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.147	0.853	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.144	0.855	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.141	0.859	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.140	0.860	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.138	0.862	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.125	0.874	0.001
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.119	0.880	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.119	0.881	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.117	0.883	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.116	0.883	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.115	0.885	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.113	0.887	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.111	0.888	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.110	0.889	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.103	0.896	0.001
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.102	0.898	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.097	0.900	0.003
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.097	0.903	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.094	0.906	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.088	0.910	0.001
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.088	0.911	0.001
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.088	0.911	0.001
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.915	0.085
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.080	0.919	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.080	0.920	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.071	0.929	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.071	0.929	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.068	0.932	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.066	0.933	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.066	0.934	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.065	0.935	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.063	0.937	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.062	0.937	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.061	0.938	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.059	0.941	0.001
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.054	0.946	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.048	0.952	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.047	0.953	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.046	0.953	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.046	0.953	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.046	0.954	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.044	0.956	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.041	0.959	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.039	0.961	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.002	0.962	0.035
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.034	0.966	0.000
rs879324 lBF = `1.71328` Chr`16` : `73,068,678`	0.033	0.967	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.032	0.967	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.031	0.969	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.031	0.969	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.027	0.972	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.027	0.973	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.026	0.974	0.001
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.026	0.974	0.000
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.025	0.975	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.024	0.976	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.024	0.976	0.000
rs7193343 lBF = `1.65457` Chr`16` : `73,029,160`	0.000	0.976	0.024
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.023	0.977	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.023	0.977	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.022	0.977	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.022	0.978	0.000
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.019	0.981	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.019	0.981	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.019	0.981	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.018	0.982	0.000
Affx-13429237 lBF = `15.8882` Chr`16` : `88,808,743`	0.018	0.982	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.017	0.983	0.000
rs9923770 lBF = `-0.0160247` Chr`16` : `86,139,685`	0.000	0.984	0.016
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.016	0.984	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.014	0.986	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.986	0.014
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.013	0.986	0.000
rs4888671 lBF = `0.0687475` Chr`16` : `77,783,580`	0.000	0.987	0.012
rs2744148 lBF = `0.233312` Chr`16` : `1,073,552`	0.000	0.989	0.011
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.011	0.989	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.010	0.989	0.001
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.009	0.990	0.001
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.009	0.991	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.009	0.991	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.009	0.991	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.007	0.993	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.007	0.993	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.007	0.993	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.007	0.993	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.007	0.993	0.000
rs8052123 lBF = `-0.0456471` Chr`16` : `57,563,671`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs1345467 lBF = `-0.0451933` Chr`16` : `51,482,321`	0.000	0.993	0.007
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.007	0.993	0.000
rs1362756 lBF = `0.00864515` Chr`16` : `51,458,290`	0.000	0.994	0.006
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rs249954 lBF = `0.435359` Chr`16` : `23,640,467`	0.001	0.999	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	0.999	0.001
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	0.999	0.001
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	0.999	0.001
rs9939760 lBF = `-0.00061628` Chr`16` : `83,652,902`	0.000	0.999	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.001	0.999	0.000
rs8044853 lBF = `0.105468` Chr`16` : `81,457,659`	0.000	0.999	0.001
rs16940202 lBF = `-0.0225441` Chr`16` : `86,014,241`	0.000	0.999	0.001
rs17797882 lBF = `0.00437634` Chr`16` : `79,406,918`	0.001	0.999	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	0.999	0.001
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	0.999	0.001
rs12149862 lBF = `-0.0166929` Chr`16` : `69,497,203`	0.001	0.999	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.999	0.001
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	0.999	0.001
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.001	0.999	0.000
rs8056893 lBF = `0.0808984` Chr`16` : `68,304,392`	0.000	0.999	0.001
rs2326458 lBF = `0.0517866` Chr`16` : `84,987,679`	0.000	0.999	0.001
rs2696835 lBF = `-0.0107896` Chr`16` : `86,365,571`	0.001	0.999	0.000
rs3844412 lBF = `-0.049109` Chr`16` : `82,646,333`	0.000	0.999	0.001
rs3096277 lBF = `-0.0620276` Chr`16` : `83,764,204`	0.001	0.999	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.001	0.999	0.000
rs4783244 lBF = `-0.0832544` Chr`16` : `82,662,268`	0.001	0.999	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	0.999	0.000
rs147774538 lBF = `0.202063` Chr`16` : `10,372,520`	0.000	0.999	0.001
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.001	0.999	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.001	0.999	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.001	0.999	0.000
rs4785204 lBF = `-0.0390799` Chr`16` : `50,103,734`	0.000	0.999	0.001
rs192253604 lBF = `2.20498` Chr`16` : `68,757,769`	0.000	0.999	0.001
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	0.999	0.001
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.001	0.999	0.000
rs17291845 lBF = `-0.0436244` Chr`16` : `55,245,037`	0.001	0.999	0.000
rs3104767 lBF = `0.667345` Chr`16` : `52,624,738`	0.001	0.999	0.000
rs11647936 lBF = `0.0743959` Chr`16` : `84,685,509`	0.001	0.999	0.000
rs11643134 lBF = `0.0218302` Chr`16` : `27,242,880`	0.001	0.999	0.000
rs16976587 lBF = `-0.00254265` Chr`16` : `27,214,984`	0.000	0.999	0.000
rs17177078 lBF = `0.83584` Chr`16` : `24,810,681`	0.000	0.999	0.001
rs1541692 lBF = `0.0555124` Chr`16` : `79,608,692`	0.000	0.999	0.001
rs7195386 lBF = `0.0127403` Chr`16` : `24,578,458`	0.000	0.999	0.001
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.000	0.999	0.001
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	0.999	0.001
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	0.999	0.001
rs58376408 lBF = `0.00381499` Chr`16` : `10,598,307`	0.000	0.999	0.000
rs2696842 lBF = `-0.0126282` Chr`16` : `86,369,880`	0.000	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.001	0.999	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.001	0.999	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.001	0.999	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.001	0.999	0.000
rs77414823 lBF = `0.0156811` Chr`16` : `49,982,757`	0.000	0.999	0.000
rs11150038 lBF = `-0.0200358` Chr`16` : `78,076,559`	0.001	0.999	0.000
rs12928939 lBF = `-0.0426123` Chr`16` : `71,800,045`	0.001	0.999	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.001	0.999	0.000
rs1344484 lBF = `-0.110815` Chr`16` : `52,912,299`	0.001	0.999	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	0.999	0.001
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	0.999	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.001	0.999	0.000
rs10500569 lBF = `0.759407` Chr`16` : `72,756,101`	0.000	0.999	0.000
rs8048207 lBF = `0.0699144` Chr`16` : `61,778,095`	0.000	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.000	0.999	0.001
rs2307022 lBF = `0.14837` Chr`16` : `68,381,978`	0.000	0.999	0.001
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	0.999	0.000
rs11648796 lBF = `-0.0731797` Chr`16` : `792,190`	0.001	0.999	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	0.999	0.001
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.001	0.999	0.000
rs10782001 lBF = `0.547891` Chr`16` : `30,942,625`	0.000	0.999	0.001
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.001	0.999	0.000
rs1126179 lBF = `-0.00741917` Chr`16` : `65,895,364`	0.000	0.999	0.001
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs62052682 lBF = `5.47404` Chr`16` : `90,170,095`	0.000	0.999	0.000
rs10852344 lBF = `0.613469` Chr`16` : `12,016,919`	0.001	0.999	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	0.999	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	0.999	0.000
rs1991867 lBF = `-0.041253` Chr`16` : `82,519,228`	0.000	0.999	0.000
rs2398144 lBF = `-0.104551` Chr`16` : `56,352,854`	0.001	0.999	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.000	0.999	0.000
rs62070320 lBF = `15.294` Chr`16` : `89,573,689`	0.001	0.999	0.000
rs2863979 lBF = `0.545064` Chr`16` : `68,331,890`	0.000	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs11076221 lBF = `0.0497871` Chr`16` : `51,961,543`	0.000	0.999	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	0.999	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	0.999	0.000
rs1064524 lBF = `-0.0399583` Chr`16` : `30,492,823`	0.000	0.999	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs3024667 lBF = `0.541624` Chr`16` : `27,371,584`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs2519974 lBF = `-0.0362553` Chr`16` : `22,889,186`	0.000	1.000	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.9789

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6178

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

1.0000

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9985

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9640

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9635

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9570

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9539

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9498

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.9486

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9394

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9199

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9144

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9090

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9072

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9057

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8959

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.8802

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8773

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8753

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8620

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8584

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8430

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8354

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8263

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8200

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8191

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8167

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.8104

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7995

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7842

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7834

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7806

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7776

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7749

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7643

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7599

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7564

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7537

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6630

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6525

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6414

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5901

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5671

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5573

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5379

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.5375

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5246

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5079

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5021

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4688

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4663

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4630

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4568

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4390

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4329

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.4312

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4312

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4175

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4012

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3904

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3853

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3836

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3796

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3761

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3753

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3429

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3404

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3359

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3126

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3031

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3010

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3001

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2846

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2792

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2731

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2686

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2645

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2513

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2408

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2345

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2292

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2279

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2135

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2113

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2040

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2036

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1892

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1867

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1858

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1773

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.1714

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1682

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1649

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1611

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1570

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1498

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1446

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1253

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1250

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1038

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1025

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1015

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0994

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0974

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0973

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0968

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0792

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.0756

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0754

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.0753

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0675

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.0616

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0602

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0601

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0597

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0569

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.0547

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0539

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0532

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0511

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`)