TreeWAS – [O99.8] Other specified diseases and conditions complicating pregnancy, childbirth and the puerperium

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
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.849	0.151	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.781	0.219	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.756	0.244	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.703	0.297	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.683	0.317	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.679	0.321	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.671	0.329	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.667	0.333	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.646	0.354	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.638	0.362	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.635	0.365	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.625	0.375	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.604	0.396	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.593	0.407	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.571	0.428	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.533	0.467	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.528	0.472	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.514	0.486	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.504	0.495	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.454	0.546	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.452	0.548	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.450	0.549	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.439	0.561	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.437	0.563	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.436	0.564	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.415	0.585	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.414	0.586	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.413	0.587	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.404	0.596	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.403	0.597	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.401	0.599	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.399	0.601	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.381	0.619	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.376	0.624	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.625	0.375
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.372	0.627	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.372	0.628	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.370	0.629	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.370	0.630	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.369	0.631	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.348	0.652	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.346	0.654	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.341	0.659	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.338	0.662	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.338	0.662	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.336	0.664	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.331	0.668	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.323	0.677	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.316	0.684	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.313	0.687	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.312	0.688	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.312	0.688	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.308	0.692	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.302	0.698	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.299	0.701	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.296	0.704	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.295	0.705	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.295	0.705	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.291	0.709	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.282	0.718	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.278	0.722	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.272	0.728	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.247	0.752	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.244	0.755	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.242	0.758	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.241	0.758	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.241	0.759	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.226	0.774	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.225	0.775	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.219	0.781	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.217	0.783	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.210	0.790	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.208	0.792	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.200	0.800	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.199	0.801	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.198	0.802	0.001
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.197	0.802	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.194	0.806	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.193	0.807	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.192	0.808	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.191	0.809	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.183	0.816	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.177	0.822	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.000	0.826	0.174
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.173	0.827	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.172	0.827	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.166	0.833	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.166	0.834	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.150	0.849	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.149	0.850	0.001
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.148	0.852	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.148	0.852	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.148	0.852	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.147	0.853	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.147	0.853	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.143	0.857	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.132	0.868	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.130	0.869	0.001
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.128	0.872	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.126	0.874	0.000
rs10514604 lBF = `-0.0138753` Chr`16` : `84,446,384`	0.122	0.878	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.121	0.878	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.120	0.880	0.001
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.120	0.880	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.119	0.880	0.001
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.118	0.882	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.117	0.883	0.001
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.115	0.884	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.107	0.892	0.001
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.100	0.900	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.099	0.900	0.001
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.096	0.904	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.095	0.904	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.095	0.905	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.093	0.906	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.090	0.910	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.085	0.914	0.001
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.083	0.917	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.079	0.921	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.078	0.922	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.074	0.925	0.001
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.070	0.929	0.001
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.070	0.930	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.067	0.933	0.001
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.067	0.933	0.000
rs2361755 lBF = `0.37744` Chr`16` : `86,009,686`	0.067	0.933	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.000	0.935	0.065
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.064	0.936	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.060	0.940	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.055	0.945	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.052	0.948	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.052	0.948	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.052	0.948	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.051	0.949	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.050	0.950	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.047	0.952	0.001
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.047	0.952	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.047	0.952	0.001
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.047	0.953	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.046	0.953	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.046	0.954	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.046	0.954	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.042	0.957	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.000	0.957	0.043
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.040	0.959	0.001
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.040	0.960	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.040	0.960	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.039	0.961	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.035	0.964	0.001
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.035	0.965	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.034	0.966	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.030	0.970	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.028	0.972	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.026	0.974	0.000
rs4786552 lBF = `0.0118737` Chr`16` : `4,860,552`	0.024	0.976	0.000
rs194045 lBF = `-0.0083126` Chr`16` : `29,246,102`	0.024	0.976	0.000
rs4784054 lBF = `0.0255934` Chr`16` : `58,776,314`	0.023	0.977	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.020	0.978	0.002
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.020	0.980	0.001
rs8050896 lBF = `0.275154` Chr`16` : `66,158,736`	0.020	0.980	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.018	0.982	0.000
rs9934948 lBF = `0.0607753` Chr`16` : `73,439,355`	0.018	0.982	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.017	0.982	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.017	0.982	0.001
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.016	0.984	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.016	0.984	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.014	0.986	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.014	0.986	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.013	0.986	0.001
rs12923781 lBF = `0.00842526` Chr`16` : `71,653,464`	0.000	0.986	0.013
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.013	0.987	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.012	0.988	0.001
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.010	0.988	0.002
rs141854787 lBF = `0.0178056` Chr`16` : `49,786,258`	0.011	0.988	0.000
rs12597579 lBF = `-0.0233316` Chr`16` : `20,257,867`	0.011	0.989	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.011	0.989	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.010	0.990	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.010	0.990	0.000
rs274068 lBF = `-0.069006` Chr`16` : `24,898,972`	0.000	0.991	0.009
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.008	0.991	0.000
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.009	0.991	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.007	0.992	0.001
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.007	0.993	0.001
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.005	0.993	0.002
rs16958145 lBF = `0.0200556` Chr`16` : `82,710,818`	0.007	0.993	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.006	0.993	0.001
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.006	0.994	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.006	0.994	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.006	0.994	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.005	0.994	0.000
rs280872 lBF = `6.30335` Chr`16` : `77,643,421`	0.000	0.994	0.006
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs12446956 lBF = `-0.0439052` Chr`16` : `73,501,536`	0.005	0.995	0.000
rs16958148 lBF = `0.0209686` Chr`16` : `82,710,856`	0.004	0.996	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.004	0.996	0.000
rs9934935 lBF = `0.0391536` Chr`16` : `82,704,528`	0.004	0.996	0.000
rs12927768 lBF = `-0.0222255` Chr`16` : `71,645,263`	0.000	0.996	0.004
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.004	0.996	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.004	0.996	0.000
rs34381861 lBF = `-0.0417115` Chr`16` : `71,640,230`	0.000	0.996	0.004
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rs8048897 lBF = `13.9383` Chr`16` : `88,744,470`	0.000	0.999	0.001
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.001	0.999	0.000
rs78867184 lBF = `-0.0150379` Chr`16` : `78,335,044`	0.001	0.999	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.001	0.999	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	0.999	0.001
rs11646411 lBF = `-0.00426655` Chr`16` : `82,746,937`	0.000	0.999	0.001
rs71391092 lBF = `-0.045922` Chr`16` : `74,567,075`	0.001	0.999	0.000
rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.001	0.999	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	0.999	0.001
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	0.999	0.001
rs2271293 lBF = `-0.00960276` Chr`16` : `67,902,070`	0.001	0.999	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.001	0.999	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.001	0.999	0.000
rs4622507 lBF = `0.0457757` Chr`16` : `55,043,667`	0.000	0.999	0.001
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	0.999	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	0.999	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	0.999	0.000
rs13329835 lBF = `-0.0402402` Chr`16` : `80,650,805`	0.000	0.999	0.001
rs2058908 lBF = `6.12705` Chr`16` : `53,806,145`	0.001	0.999	0.000
rs6499755 lBF = `0.0777403` Chr`16` : `55,341,135`	0.000	0.999	0.001
rs9933309 lBF = `25.7741` Chr`16` : `88,844,932`	0.001	0.999	0.000
rs7187365 lBF = `0.0181339` Chr`16` : `86,511,915`	0.001	0.999	0.000
rs117322171 lBF = `-0.00481216` Chr`16` : `52,884,529`	0.000	0.999	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	0.999	0.000
rs987052 lBF = `-0.0525989` Chr`16` : `86,322,459`	0.001	0.999	0.000
rs8061121 lBF = `-0.0602714` Chr`16` : `87,193,084`	0.001	0.999	0.000
rs7191888 lBF = `-0.0678015` Chr`16` : `73,581,058`	0.001	0.999	0.000
rs2858942 lBF = `-0.0696001` Chr`16` : `225,653`	0.001	0.999	0.000
rs4843747 lBF = `-0.0731947` Chr`16` : `87,991,051`	0.001	0.999	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	0.999	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	0.999	0.001
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.001	0.999	0.000
rs17689437 lBF = `-0.00273446` Chr`16` : `68,600,351`	0.000	0.999	0.001
rs7198849 lBF = `-0.0286209` Chr`16` : `11,373,301`	0.001	0.999	0.000
rs8053728 lBF = `-0.0620872` Chr`16` : `82,485,251`	0.001	0.999	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	0.999	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.000	0.999	0.001
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	0.999	0.000
rs11646917 lBF = `0.327656` Chr`16` : `51,428,908`	0.001	0.999	0.000
rs11248850 lBF = `0.279278` Chr`16` : `163,598`	0.001	0.999	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	0.999	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	0.999	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.001	0.999	0.000
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.001	0.999	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	0.999	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.999	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	0.999	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	0.999	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	0.999	0.000
rs9939224 lBF = `-0.0847927` Chr`16` : `57,002,732`	0.000	0.999	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.000	1.000	0.000
rs35030326 lBF = `8.24606` Chr`16` : `23,880,480`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs77150043 lBF = `-0.0685973` Chr`16` : `50,304,249`	0.000	1.000	0.000
rs1968499 lBF = `29.5683` Chr`16` : `89,683,240`	0.000	1.000	0.000
rs12716852 lBF = `0.0507908` Chr`16` : `78,188,738`	0.000	1.000	0.000
rs8056446 lBF = `0.0494119` Chr`16` : `78,188,496`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs1995082 lBF = `0.0339588` Chr`16` : `77,007,437`	0.000	1.000	0.000
rs113496184 lBF = `-0.0103842` Chr`16` : `79,040,104`	0.000	1.000	0.000
rs2106261 lBF = `1.59153` Chr`16` : `73,051,620`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.000	1.000	0.000
rs75825892 lBF = `-0.0280486` Chr`16` : `4,257,313`	0.000	1.000	0.000
rs7197653 lBF = `-0.0690147` Chr`16` : `68,383,047`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs12051443 lBF = `0.284452` Chr`16` : `71,691,329`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	1.000	0.000
rs255052 lBF = `-0.0139436` Chr`16` : `68,024,995`	0.000	1.000	0.000
rs4889294 lBF = `-0.103527` Chr`16` : `81,303,759`	0.000	1.000	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	1.000	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	1.000	0.000
rs12716850 lBF = `0.064756` Chr`16` : `78,187,903`	0.000	1.000	0.000
rs16942887 lBF = `0.00583446` Chr`16` : `67,928,042`	0.000	1.000	0.000
rs2601828 lBF = `0.00343066` Chr`16` : `4,103,871`	0.000	1.000	0.000
rs12931939 lBF = `0.00334916` Chr`16` : `20,060,830`	0.000	1.000	0.000
rs3213473 lBF = `-0.0123756` Chr`16` : `16,256,767`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	1.000	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.000	1.000	0.000
rs8043924 lBF = `15.7302` Chr`16` : `88,787,704`	0.000	1.000	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.000	1.000	0.000
rs17822114 lBF = `0.311075` Chr`16` : `60,733,603`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs1424233 lBF = `0.110618` Chr`16` : `79,682,751`	0.000	1.000	0.000
rs8049603 lBF = `-0.0777599` Chr`16` : `23,067,260`	0.000	1.000	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.000	1.000	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.000	1.000	0.000
rs2076756 lBF = `8.90573` Chr`16` : `50,756,881`	0.000	1.000	0.000
rs7202877 lBF = `3.24546` Chr`16` : `75,247,245`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	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

0.9872

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3751

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9993

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9979

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.9938

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.9933

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9900

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9853

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9785

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9785

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9626

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9609

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9607

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9591

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9562

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9347

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9198

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8625

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8553

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8533

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8474

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8170

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7516

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7148

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.7098

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7054

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6664

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6647

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6363

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5971

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5377

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5256

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5226

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4864

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4783

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4572

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4358

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4210

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4016

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3910

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3819

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3676

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3470

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3344

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3267

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3261

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3217

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3214

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3167

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3148

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3043

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3030

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.2983

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2803

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2743

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2715

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2650

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2640

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2631

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.2587

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.2489

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2434

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2387

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2338

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2236

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2076

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2026

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1948

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1916

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1847

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1748

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1725

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1673

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1641

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1573

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1570

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1528

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1463

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1416

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1397

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1349

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1301

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1216

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1175

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1166

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1134

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1044

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1036

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1036

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0993

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0988

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.0968

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0946

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.0933

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0932

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0848

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0847

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0838

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0749

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0737

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0726

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0665

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0663

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0649

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0647

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0616

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0604

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0594

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0586

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0566

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0538

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0502

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`)