Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T02:20:40.768843Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2607.09535.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T02:20:40.768843Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
88 of 88 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation facba0bb-1c20-493b-b5fa-633b5d5bcd17 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Computational statistics & data analysis , volume=
Reference 1
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Observation 9b4cb771-df2c-4dcf-9118-4bfe6f437363 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=
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Observation 3b44336f-11c2-489e-bf1c-ddbfd8186fe1 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics and Complex Traits , pages=
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Observation 1c08d4b3-9a08-4f2a-a502-01eb75fa352d · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrics , year=
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Observation 4d611b5e-5d20-4038-aa4b-d93e79b97e38 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical applications in genetics and molecular biology , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , school=
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Observation 458a3e16-1dca-4ee4-bfe7-d1d0998f22c2 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of computational and graphical statistics , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2006 , publisher=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2009 , publisher=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Computational Statistics , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrika , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistica Sinica , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2005 , publisher =
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Observation a7e34c1e-07e5-4bfd-9254-c0edeb408b37 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=
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Observation 94c3c5d8-3824-4b36-a70f-515b1ffbb641 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nat Genet , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Diabetes , volume=
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Observation d5bbb5d6-19f6-4164-b033-a2d8069e1236 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature neuroscience , volume=
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Observation 337a968d-577e-47d5-9b5a-803c51f7bee0 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature biotechnology , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model JAMA oncology , volume=
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Observation b1d258e9-3cb1-4144-b192-705132b92dae · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=
Reference 22
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature communications , volume=
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Observation bfd2fee0-d909-4832-a2a8-8559e4651f14 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC proceedings , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model science , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=
Reference 27
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Observation 196b8cf0-c940-4b25-9f84-4d8dde2da687 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Reviews Genetics , volume=
Reference 28
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature reviews genetics , volume=
Reference 29
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC genomics , volume=
Reference 30
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Human molecular genetics , volume=
Reference 31
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Clinical chemistry , volume=
Reference 32
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model elife , volume=
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Observation 6eb56a24-a80b-4f73-97f6-e117d0762660 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Frontiers in Cell and Developmental Biology , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Clinical epigenetics , volume=
Reference 35
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Human genetics , volume=
Reference 36
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Observation f0f24ea5-f1a8-476b-b151-be7cb93de12d · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2003 , publisher=
Reference 37
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , publisher=
Reference 38
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Observation 29b613b4-1e04-4252-b641-9bf9dc16cf85 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical science , volume=
Reference 39
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome medicine , volume=
Reference 40
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Observation 8291289f-ec64-4245-a3ac-f3b60b86a1bd · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Cancer epidemiology, biomarkers & prevention , volume=
Reference 41
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Observation eb7354f6-08cd-4592-9cde-04e03a6252e1 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC proceedings , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Frontiers in Genetics , volume=
Reference 43
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Observation 1b2a64c3-070f-403d-a294-36bd4c9788a7 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model The Lancet , volume=
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Observation 6c1891e9-905a-4b8f-a446-afc1325afc6b · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Genetics , volume=
Reference 45
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the American Statistical Association , volume=
Reference 46
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Observation 77f839c6-99bd-4d06-8378-6eb581ad8392 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=
Reference 47
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Briefings in bioinformatics , volume=
Reference 48
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=
Reference 49
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=
Reference 50
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Observation a1596e48-3716-4dda-91dd-8f568d7a7cd1 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2008 , publisher=
Reference 51
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Human genomics , volume=
Reference 52
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Observation 68112a54-e8ae-4e6e-ad3b-964b0cd002bf · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=
Reference 53
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Neuropsychopharmacology , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics and complex traits , pages=
Reference 55
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=
Reference 57
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature , volume=
Reference 58
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature protocols , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biostatistics , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Bioinformatics , volume=
Reference 61
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genomics , volume=
Reference 62
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Reviews Genetics , volume=
Reference 63
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Observation 52d583b5-be5d-4d8e-bfc9-9dc9ffd83cdd · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=
Reference 64
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC genomics , volume=
Reference 65
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Observation 168861e6-8bf3-47bb-9250-fe4d0e321952 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model The American journal of human genetics , volume=
Reference 66
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature , volume=
Reference 67
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=
Reference 68
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model PLoS medicine , volume=
Reference 69
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=
Reference 70
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature methods , volume=
Reference 71
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Observation 747a3c3a-cd15-4908-a053-23406cddf191 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , publisher=
Reference 72
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1994 , publisher=
Reference 73
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Observation c38f2e2e-cd1e-4aa0-93f8-ac781909ec84 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Bioinformatics , volume=
Reference 74
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model R package version , volume=
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Observation 8d977634-1b01-47df-9ea4-87c61c61b966 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of the American Statistical Association , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Theory of Probability & Its Applications , volume=
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1978 , publisher=
Reference 79
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Observation 3eee9ec1-01eb-4724-8f7b-b800d8b99d22 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=
Reference 80
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Observation 771576c7-3940-411b-8683-d1e46911f89a · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Numerische mathematik , volume=
Reference 81
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2024 , publisher=
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Observation a79dd5af-731e-4080-95fb-4c766abcefaa · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical science , pages=
Reference 83
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1990 , publisher=
Reference 84
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Observation e77ed96c-cd97-4e4f-a7b0-3e747c155c73 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrika , volume=
Reference 85
Source-reported events for the cited work
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Observation b518fbdd-0093-4227-8d1f-0bfeaf2ad343 · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2019 , publisher=
Reference 86
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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1989 , edition=
Reference 87
Source-reported events for the cited work
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Observation e8abba28-c2b7-45df-a37d-66849e499a7e · outbound
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistics in Medicine , volume=
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No inbound Pith citation observations are available.