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Paper Citation Record · LEDGER

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model

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.

pith.paper-citation-record.v1
2607.09535 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T02:20:40.768843Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation facba0bb-1c20-493b-b5fa-633b5d5bcd17 · outbound

This paper cites Computational statistics & data analysis , volume=.

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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Source-reported events for the cited work

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Observation 9b4cb771-df2c-4dcf-9118-4bfe6f437363 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

Reference 2

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Observation 3b44336f-11c2-489e-bf1c-ddbfd8186fe1 · outbound

This paper cites Epigenetics and Complex Traits , pages=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics and Complex Traits , pages=

Reference 3

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Observation 1c08d4b3-9a08-4f2a-a502-01eb75fa352d · outbound

This paper cites Biometrics , year=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrics , year=

Reference 4

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Observation 4d611b5e-5d20-4038-aa4b-d93e79b97e38 · outbound

This paper cites Statistical applications in genetics and molecular biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical applications in genetics and molecular biology , volume=

Reference 5

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Observation e36aca3c-2d15-4c3a-94b1-ee57148bd89a · outbound

This paper cites 2017 , school=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , school=

Reference 6

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Observation 458a3e16-1dca-4ee4-bfe7-d1d0998f22c2 · outbound

This paper cites Journal of computational and graphical statistics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Journal of computational and graphical statistics , volume=

Reference 7

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Observation 68912557-63c1-430b-8faa-94885aeb85a8 · outbound

This paper cites 2006 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2006 , publisher=

Reference 8

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Observation 2cf79a87-ccc0-47b8-91c2-b4ebe2fba45c · outbound

This paper cites 2009 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2009 , publisher=

Reference 9

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Observation ccf1f187-0050-428b-b509-253fe1b6b64b · outbound

This paper cites Computational Statistics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Computational Statistics , volume=

Reference 10

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Observation f194aa00-49e9-4fd5-ae53-bf1a35bd1763 · outbound

This paper cites Biometrika , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrika , volume=

Reference 11

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Observation f709996a-4ab6-41e4-b66f-f13ee450faec · outbound

This paper cites Statistica Sinica , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistica Sinica , volume=

Reference 12

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Observation 4c3f8139-286f-4ff4-9c7e-e48b80752df6 · outbound

This paper cites 2005 , publisher =.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2005 , publisher =

Reference 13

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Observation a7e34c1e-07e5-4bfd-9254-c0edeb408b37 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=.

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=

Reference 14

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Observation 94c3c5d8-3824-4b36-a70f-515b1ffbb641 · outbound

This paper cites Nat Genet , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nat Genet , volume=

Reference 15

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Observation ed998361-f8f2-4ea6-adea-5c8b3d536348 · outbound

This paper cites Diabetes , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Diabetes , volume=

Reference 16

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Observation d5bbb5d6-19f6-4164-b033-a2d8069e1236 · outbound

This paper cites Nature neuroscience , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature neuroscience , volume=

Reference 17

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Observation 337a968d-577e-47d5-9b5a-803c51f7bee0 · outbound

This paper cites Nature biotechnology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature biotechnology , volume=

Reference 18

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Observation e8ce6504-3f7c-4369-9070-3744601ab159 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

Reference 19

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Observation 2d2a09b3-ba6d-4677-bf9f-b523033c0822 · outbound

This paper cites JAMA oncology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model JAMA oncology , volume=

Reference 20

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Observation c7bd7fbb-4c63-4361-9eb5-caa8dd850ba1 · outbound

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model , author=

Reference 21

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Observation b1d258e9-3cb1-4144-b192-705132b92dae · outbound

This paper cites Nucleic acids research , volume=.

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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Observation 7372b770-c316-46c6-a78f-38a9d6adff0a · outbound

This paper cites Nature communications , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature communications , volume=

Reference 23

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Observation bfd2fee0-d909-4832-a2a8-8559e4651f14 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=.

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=

Reference 24

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Observation 2b00e9ff-ab43-41c2-9ca0-6b90b40746ab · outbound

This paper cites BMC proceedings , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC proceedings , volume=

Reference 25

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Observation 883b6939-9dcf-417d-b1bd-5173de9f1889 · outbound

This paper cites science , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model science , volume=

Reference 26

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Observation 24b492f6-bb67-4fdc-8b37-494a23b4dea6 · outbound

This paper cites Nucleic acids research , volume=.

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

This paper cites Nature Reviews Genetics , volume=.

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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Observation a30605a0-45bd-4102-b764-81d16a65fe34 · outbound

This paper cites Nature reviews genetics , volume=.

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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Observation e8f11c98-885c-4288-8112-041b75b53e0a · outbound

This paper cites BMC genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC genomics , volume=

Reference 30

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Observation 79504b84-4c69-4ad0-bd43-bbf35f9cd7fa · outbound

This paper cites Human molecular genetics , volume=.

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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Observation f8146cc9-c27a-480f-a15c-142ba19aa136 · outbound

This paper cites Clinical chemistry , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Clinical chemistry , volume=

Reference 32

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Observation 533e74a5-665f-4f2a-aff2-9747e7bce7c7 · outbound

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model elife , volume=

Reference 33

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Observation 6eb56a24-a80b-4f73-97f6-e117d0762660 · outbound

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Frontiers in Cell and Developmental Biology , volume=

Reference 34

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Observation 65621a7e-7b49-4811-8661-a9640a23b66c · outbound

This paper cites Clinical epigenetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Clinical epigenetics , volume=

Reference 35

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Observation a831e64a-0f89-469e-b38e-eae15ba24703 · outbound

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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

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Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2003 , publisher=

Reference 37

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Observation aa59cf60-14fa-481a-b8e8-242bd3bf1518 · outbound

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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

This paper cites Statistical science , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical science , volume=

Reference 39

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Observation 87fd8db7-9f57-4757-8ae5-9fd9f98307e1 · outbound

This paper cites Genome medicine , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome medicine , volume=

Reference 40

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:c18c401526b1e690541b9831aacbe009a3e6f03227eb099fbae1b369cb556543

Observation 8291289f-ec64-4245-a3ac-f3b60b86a1bd · outbound

This paper cites Cancer epidemiology, biomarkers & prevention , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Cancer epidemiology, biomarkers & prevention , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:74afd99b8949bf96bfcd4f888f6b57c7aa3fc4b586fea6063fc1807249d51f1a

Observation eb7354f6-08cd-4592-9cde-04e03a6252e1 · outbound

This paper cites BMC proceedings , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC proceedings , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:de88aa7b34796d3e4cb2a0d04798b86b7510351125044db62e8ce8d1f1021f7c

Observation d0f12c4d-c391-4918-9ada-d064a6cd03ee · outbound

This paper cites Frontiers in Genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Frontiers in Genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:02d674a6937319c1b0215fe6762b538960552c0bd8930d6796c9109cedfc9494

Observation 1b2a64c3-070f-403d-a294-36bd4c9788a7 · outbound

This paper cites The Lancet , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model The Lancet , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:dba376d07b4f74b19e701239cd5f4eaa39d5cf4a9bd02b45aa5e3fa9648841fe

Observation 6c1891e9-905a-4b8f-a446-afc1325afc6b · outbound

This paper cites Nature Genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:67631c22bf87388ac3bd6202122dca06f47b18e341f4ff303a915b5b9af3a252

Observation ba52aad1-69f3-480a-878b-723edcd23b35 · outbound

This paper cites Journal of the American Statistical Association , volume=.

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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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:8897dc872243e11e0ba17cdfe2fb1b4e3ee4089261e7e7b7d1054c907c0421f2

Observation 77f839c6-99bd-4d06-8378-6eb581ad8392 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:515037f77368fb9dfa781ffd49f04176e07c910d5eefe306c42f1ef7c87cd1c8

Observation 65667993-1880-4fb4-b88d-a808ebbcd2fe · outbound

This paper cites Briefings in bioinformatics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Briefings in bioinformatics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:7b051ed154d7cf01e2a6104cdc6b579a37866b8e76a8a4a809ec7e9663793566

Observation c470eed9-55eb-4ab5-8fa4-65873daeb376 · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:737df31cd99918da4d80285de893d0320d0ac1f07eeac0fcb58640ec98b5a693

Observation e1fda29b-1f3d-4d66-bca7-0f4fddd355c9 · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:8a0b93da78e7c9d60ace8833de08fcb7dde713ec0bac0020cbfe3242cde57b4c

Observation a1596e48-3716-4dda-91dd-8f568d7a7cd1 · outbound

This paper cites 2008 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2008 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:18b2ee9b480d2647364171444b06270ba34bc74601e1478d7b0742a73995190d

Observation 8bcf8993-d298-45db-a8d4-59026775aec8 · outbound

This paper cites Human genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Human genomics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:363b3c2b95da6cd5501c4530bfd179e6bdbefa6d716ec18879a26d8504a034c6

Observation 68112a54-e8ae-4e6e-ad3b-964b0cd002bf · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:c8f2a38b279077ab722390c7593b9696ff83ed1e009e4943b3558b5cae0f2e68

Observation f54134d9-5868-44e8-b980-afbc29f3553f · outbound

This paper cites Neuropsychopharmacology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Neuropsychopharmacology , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:7abafa983246fec2d59564894e5edca0971ddb4cbbaaedefb3665881e3e3025d

Observation 962d7473-988d-4f97-82c1-bbdad475f49f · outbound

This paper cites Epigenetics and complex traits , pages=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics and complex traits , pages=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:d1a273a9210902552d9182e60e35d49afe384729a3989f902d3a44183cf87cfd

Observation ba46a5fe-f984-465e-9cab-2f05a508693f · outbound

This paper cites Epigenetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Epigenetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:6b55caffe9637ae130103df3b57e01b0618a2b800e2e840dec869b4113530992

Observation 260e6851-e51a-4b35-b48e-6525fba10893 · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:36aa9143ba390447e7e9cdbed9ef666531647cdc2ec4070a434ca4fab4fc19e8

Observation 2f2a1269-3240-45db-8ea0-eac5b8dc3a66 · outbound

This paper cites Nature , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:b40c425e5f30fae627d390138b4ee435e0f80e066ae1b490ddfd8850a0010252

Observation 6c379f22-2044-437e-aa1c-7ffb6cafe4ce · outbound

This paper cites Nature protocols , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature protocols , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:c32125f8ce00e17dee1e6a52b287c0df87c9d7223ed8b2aefdc5e87c65378e7c

Observation b220894e-89a5-4d6b-bdb7-ccb5c4664361 · outbound

This paper cites Biostatistics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biostatistics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:e17b31236a2d1d2f1ce6d8d637770c3120fe7a7d24bf476bb19db20f3f313bcf

Observation cd4428bc-a670-426b-9ae2-3ed432bebafe · outbound

This paper cites Bioinformatics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Bioinformatics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:8c5f2af21e0f62fb0b868f5949c8f0490e9560b139dae0abc3acad06daec3811

Observation e147fb9f-6bb7-4613-9156-b10cadd510fe · outbound

This paper cites Genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genomics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:09ce6adfee04119d1b0f54a0d5a60c41dad89b89720c00735c77ce9764038a1c

Observation f8e96db0-a826-4051-8c42-117d3e9e37ef · outbound

This paper cites Nature Reviews Genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature Reviews Genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:fb230e4ea4a4aec5cc67b65d6d47f158ea94bbdd540ccd1daa5117271c0ce011

Observation 52d583b5-be5d-4d8e-bfc9-9dc9ffd83cdd · outbound

This paper cites Nucleic acids research , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nucleic acids research , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:a5a023795c902965f06bb6615f3fd04c75b4103c6d65199a2d34ef8b09b67948

Observation 6e4294f0-6e50-4391-b482-cdca4007c317 · outbound

This paper cites BMC genomics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model BMC genomics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:db9fbb205dd7392962d03167d9a50dee227a82fc97af54e4511b3d620aa93d0b

Observation 168861e6-8bf3-47bb-9250-fe4d0e321952 · outbound

This paper cites The American journal of human genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model The American journal of human genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:96b3512bd0f6ca08d764cdc406121a479262772b743bfd65af70c947cc26435b

Observation 1d399ec3-bd61-4b4f-a805-1444b2236a65 · outbound

This paper cites Nature , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:1d16ba0200063ade53ee679498c1da917898dd3167bfd5f06cb45751f7b40f6f

Observation b3f28d17-99e9-4fd0-b255-b77084f7c054 · outbound

This paper cites Genome biology , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Genome biology , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:46b2b445059bdb9d2972edbbc6a704263a7738281a54e5aeaac0b0d48835b7b6

Observation d793ef98-32ce-413a-bf4a-4d3ce4a84fe3 · outbound

This paper cites PLoS medicine , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model PLoS medicine , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:9c5970a7d77025ff42385bbf41e8afdc0f808e2a0e89795584268b92f0b947bd

Observation 78e5f580-6bff-44f3-b61d-5f5776c4c559 · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:132e1e33345c25775064daa8f0da9f1232e585f648f749d3911c80e90ba4ad09

Observation e9e423ef-eca4-4c54-88cb-81426d90cb6e · outbound

This paper cites Nature methods , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature methods , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:0ad95787662c405b7234830c77a2b36ca5d605514867cc704e39c0d6bf4baaf0

Observation 747a3c3a-cd15-4908-a053-23406cddf191 · outbound

This paper cites 2017 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2017 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:37c707bc81d5320f32d333b42bb0705e6fb2e3780c13de967d7fcadae29b0450

Observation ce217383-bbbf-408f-9db2-aaf6459f787f · outbound

This paper cites 1994 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1994 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:56d959625d4b43e94728a8b0c18534aba0d7fd4da97cfffbcb2c5ba3442aea9b

Observation c38f2e2e-cd1e-4aa0-93f8-ac781909ec84 · outbound

This paper cites Bioinformatics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Bioinformatics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:f1073e5e2c6afdbfc61d7dec1e545e92246f6b0b9c7ffa0453bbf523722cd741

Observation cfcf02bb-e9a1-4852-9746-3fa09793d202 · outbound

This paper cites R package version , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model R package version , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:66e50f879f57a5b9b69bfad8deafc450853198115f57a114abd7bfe82d65eeb0

Observation 8d977634-1b01-47df-9ea4-87c61c61b966 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

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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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:8a3904172b278529676c65dd2973e61929956e3cea1610a3620d2f330e829746

Observation 864b4e7c-d9b6-43f8-a2a6-06c809fa26f1 · outbound

This paper cites Journal of the American Statistical Association , volume=.

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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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:377e015870d7fd5da25899c481885e9ed496a47332bafe2a975b90c02195418c

Observation edeb3584-d572-4623-9412-033d91294e67 · outbound

This paper cites Theory of Probability & Its Applications , volume=.

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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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:6a860e97e2b78271d0f73c7fde1729e1ea1496e49fce9e8186112524a386b7a8

Observation 08eb049d-7faf-49cf-89a9-99f62012065d · outbound

This paper cites 1978 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1978 , publisher=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:c5a220c4b884116a98d75a5a45ed6b8d4d10e79c08a9a669600cb19e34eedba7

Observation 3eee9ec1-01eb-4724-8f7b-b800d8b99d22 · outbound

This paper cites Nature genetics , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Nature genetics , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:912f8a6acebfcd793b9bab36ac863b72e7a225bebf761fe623f2f0f61162c323

Observation 771576c7-3940-411b-8683-d1e46911f89a · outbound

This paper cites Numerische mathematik , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Numerische mathematik , volume=

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:2ce6179e49c7db8192eedc9f6d32a6fb8a36f8215054013c54be33c7214ab2d5

Observation 775b73fa-8c05-4797-aef5-d9fce4475c14 · outbound

This paper cites 2024 , publisher=.

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

This paper cites Statistical science , pages=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistical science , pages=

Reference 83

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:7dad41464b38a617bf4f211777651f699293a04aff01377b771023ee3d03cc68

Observation 15a61a80-52ef-4154-a504-4ade05175642 · outbound

This paper cites 1990 , publisher=.

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

This paper cites Biometrika , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Biometrika , volume=

Reference 85

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:d24f1142112d925f5edc1c35a86857f64a950e0c89f84d50fa51e6e6ecf55a2b

Observation b518fbdd-0093-4227-8d1f-0bfeaf2ad343 · outbound

This paper cites 2019 , publisher=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 2019 , publisher=

Reference 86

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:077a6668e1f5c40bca1f012ae47322d09431724ca79c9dd1f407af5b7e5f4ff0

Observation 7e281e34-3645-410b-8cf5-8378abe79885 · outbound

This paper cites 1989 , edition=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model 1989 , edition=

Reference 87

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source=arxiv_source observed=2026-07-13T02:20:40.768843Z digest=sha256:a0349bcbccc26e2282c5d2320bfcf598ae67e461c2d29ce8af5afb1e93c836f1

Observation e8abba28-c2b7-45df-a37d-66849e499a7e · outbound

This paper cites Statistics in Medicine , volume=.

Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model Statistics in Medicine , volume=

Reference 88

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