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Baya NA et al., The American Journal of Human Genetics - This episode summarizes a multi-modal study that integrates exome sequencing in 402,375 UK Biobank participants with CRISPR knockdown in human white adipocytes to nominate genes and pathways that alter overall adiposity and fat distribution. Key terms: obesity, fat distribution, exome sequencing, CRISPR knockdown, adipocytes.

Study Highlights:
The authors performed rare-variant (MAF<1%) exome-wide association testing across nine obesity- and depot-specific fat traits in 402,375 European-ancestry UK Biobank participants, identifying 19 exome-wide significant genes and 50 additional genes at FDR≤1% (69 total). They prioritized 14 genes for CRISPR-Cas9 knockdown in a human white adipocyte cell line and measured lipid accumulation with BODIPY staining and high-content imaging. Knockdown of PPARG and SLTM significantly decreased lipid accumulation, while COL5A3 knockdown increased it; EXOC7 and TRIP10 had nominal increases. Integrating population genetics, allelic series, longitudinal age-of-onset, and transcriptomics highlighted candidate therapeutic avenues to modulate adiposity and fat distribution.

Conclusion:
Combining large-scale human genetic association with targeted functional screens in human adipocytes identifies high-confidence genes and mechanisms—such as adipogenesis regulation and extracellular matrix components—that can inform therapeutic strategies to alter body fat amount and distribution.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution

First author:
Baya NA

Journal:
The American Journal of Human Genetics

DOI:
10.1016/j.ajhg.2025.08.013

Reference:
Baya NA, SurErdem I, Venkatesh SS, et al.; Claussnitzer M, Palmer DS, Lindgren CM. Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. The American Journal of Human Genetics. 2025;112:1–22. https://doi.org/10.1016/j.ajhg.2025.08.013

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/combining-evidence-from-human-genetic-and-functional-screens-to-identify-pathways-altering-obesity-and-fat-distribution

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-09-07.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited transcript sections describing UK Biobank exome sequencing and nine fat-trait phenotypes, identification of candidate genes, CRISPR-Cas9 functional validation in human white adipocytes, key gene findings (PPARG, SLTM, COL5A3), monotonic dose–response relationships, and obesity-age-onset analyses.
- transcript topics: UK Biobank exome sequencing design and nine fat-related traits; Rare-variant gene-level associations and PoPS integration; CRISPR-Cas9 knockdown in human white adipose tissue cells and BODIPY lipid readouts; Key genes PPARG, SLTM, COL5A3 and their lipid-accumulation effects; Monotonic allelic series and dose-response relationships; Longitudinal obesity age-of-onset analyses (MC4R, SLTM)

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 6
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- UK Biobank exome sequencing on ~402,375 European-ancestry individuals across nine obesity-related traits
- 69 genes significantly associated with fat distribution; 19 exome-wide significant; 50 additional at BH FDR ≤ 1%
- 14 genes selected for CRISPR-Cas9 knockdown in differentiated human white adipose tissue cells
- PPARG and SLTM knockdown decreased lipid accumulation; COL5A3 knockdown increased lipid accumulation
- Monotonic allelic series observed in 22 genes for ultra-rare variants
- SLTM loss-of-function variants associated with higher BMI in humans; SLTM knockdown decreased lipid accumulation in adipocytes

QC result: Pass.

Dishuck PC et al., Cell Genomics - Using 169 long-read human haplotypes and 1.4 billion full-length cDNA reads, Dishuck et al. resolve the complex NPIP gene family on chromosome 16, revealing extreme copy-number and structural variation, widespread interlocus gene conversion and inversions, ongoing positive selection at specific paralogs, and paralog-specific full-length gene models with tissue-biased expression. Key terms: NPIP, segmental duplications, positive selection, long-read sequencing, gene conversion.

Study Highlights:
The authors use haplotype-resolved long-read assemblies and Iso-Seq to catalog 4,665 NPIP copies across 169 haplotypes and define 28 paralogs. They detect frequent interlocus gene conversion and multiple large inversion polymorphisms mediated by NPIP duplications. Population-level tests (Tajima’s D, nSL) reveal ongoing positive selection at several paralogs while Iso-Seq uncovers paralog-specific ORFs and tissue-biased expression, with 56% of common isoforms previously unreported. VNTR expansion in a human-specific NPIPB subfamily predicts a β-helix domain and novel signal peptide evolution.

Conclusion:
High-resolution pangenomic sequencing shows NPIP is an exceptionally dynamic, human-specific gene family with structural rearrangements, gene conversion, and positive selection shaping paralog-specific gene models and expression; these resolved paralogs now provide targets for functional and clinical follow-up.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Structural variation, selection, and diversification of the NPIP gene family from the human pangenome

First author:
Dishuck PC

Journal:
Cell Genomics

DOI:
10.1016/j.xgen.2025.100977

Reference:
Dishuck PC, Munson KM, Lewis AP, Dougherty ML, Underwood JG, Harvey WT, Hsieh P, Pastinen T, Eichler EE. Structural variation, selection, and diversification of the NPIP gene family from the human pangenome. Cell Genomics. 2025;5:100977. doi:10.1016/j.xgen.2025.100977

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming:
❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01
☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
More at basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/structural-variation-and-diversification-of-the-npip-gene-family-from-the-human-pangenome

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-09-06.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited transcript sections describing NPIP copy-number variation, long-read pangenome mapping, interlocus gene conversion (IGC) and inversion polymorphisms, resurrection/open reading frames of paralogs, brain/testis protein innovations, NPIP-PKD1 fusion transcripts, and population-genetic selection signals (Tajima's D
- transcript topics: NPIP copy-number variation across humans and primates; Long-read sequencing and pangenome mapping of NPIP; Interlocus gene conversion (IGC) and inversion polymorphisms; Resurrection of NPIP pseudogenes and open reading frames; Human-specific protein innovations: signal peptide and VNTR beta-helix; NPIP-PKD1 fusion transcripts

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 7
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- Copy-number expansion in humans: 21–33 NPIP copies per haploid genome (vs macaque single copy).
- Extreme CNV across 169 haplotypes; 4,665 total NPIP copies across haplotypes; occurrences of interlocus gene conversion (IGC) and inversion polymorphisms drive region variation.
- Four paralogs (B1, A4, B10, B14) maintain open reading frames and actively produce transcripts.
- Two human-specific innovations: novel signal peptide highly expressed in testes; expanded VNTR encoding a beta-helix with brain expression.
- NPIP-PKD1 fusion transcripts yield functional multi-exonic proteins up to 843 amino acids long.
- Ongoing positive selection on NPIP copies evidenced by Tajima's D and NSL statistics.

QC result: Pass.

Adami A et al., Cell Genomics - This episode covers analyses of L1 retrotransposon subfamilies (L1PA2/3/4, L1HS), their chromatin signatures (including H3K4me3), and perturbation experiments using CRISPRi. The source text includes comparative plots across primates and gene-level readouts such as PPP1R1C. Key terms: L1 retrotransposon, L1PA2, L1HS, H3K4me3, CRISPRi.

Study Highlights:
The paper maps H3K4me3 and related chromatin signals at L1 subfamilies including L1HS and L1PA2/3/4 and presents comparative timelines across primates. Targeted CRISPRi against L1 elements was used and compared with controls, with gene-level examples shown (PPP1R1C). Figures include genomic tracks, heatmaps, and quantification of signal changes tied to specific L1 subfamilies.

Conclusion:
L1 subfamilies carry distinct H3K4me3-associated chromatin signatures and can be transcriptionally modulated by CRISPRi, with measurable effects on nearby gene expression. The data and comparative analyses across primates highlight subfamily-specific regulatory potential of L1 elements.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
LINE-1 retrotransposons mediate cis-acting transcriptional control in human pluripotent stem cells and regulate early brain development

First author:
Adami A

Journal:
Cell Genomics

DOI:
10.1016/j.xgen.2025.100979

Reference:
Adami A., Garza R., Gerdes P., Johansson P.A., Dorazehi F., Koutounidou S., et al.. LINE-1 retrotransposons mediate cis-acting transcriptional control in human pluripotent stem cells and regulate early brain development. Cell Genomics, 5, 100979. (2025). https://doi.org/10.1016/j.xgen.2025.100979

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/line1-promoters-orchestrate-early-human-brain-development

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-09-05.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited the transcript's presentation of L1 biology, promoter activity, CRISPRi silencing of young L1 promoters (L1HS/L1PA2), downstream gene/lncRNA effects (PPP1R1C, Len NC_00648), organoid differentiation outcomes, evolutionary context, and methodological limitations, cross-checking these with the canonical article.
- transcript topics: L1 biology and chromatin signatures; Long-read sequencing and transcript mapping to resolve L1 copies; CRISPR interference (CRISPRi) silencing of L1 promoters; L1 antisense promoters driving PPP1R1C and Len NC_00648 transcripts; Organoid models and neural progenitor differentiation; Evolutionary context of L1 subfamilies (L1HS, L1PA2/3/4)

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 6
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- L1HS and L1PA subfamilies show H3K4me3-associated chromatin signals in human cells
- CRISPRi targeting of evolutionarily young L1 promoters (L1HS/L1PA2) silences transcription locally
- L1 elements function as alternative promoters for a set of genes including PPP1R1C and the lncRNA Len NC_00648
- Approximately 100 protein-coding genes and lncRNAs are driven by L1 antisense promoters in human pluripotent stem cells
- Silencing L1 promoters affects differentiation into cerebral organoids, yielding smaller organoids with impaired structure
- Neural progenitor cell transcriptional programs are disrupted upon L1 silencing

QC result: Pass.

Díaz-Navarro A et al., Cell Genomics - OncoGAN is a multimodel generative AI pipeline that simulates realistic, privacy-preserving cancer genomes (VCFs, CNAs, SVs) across eight tumor types to support benchmarking and training of genome-analysis tools. Key terms: OncoGAN, synthetic genomes, generative AI, mutational signatures, privacy-preserving.

Study Highlights:
OncoGAN combines GANs, TVAEs, CTGAN/CTAB-GAN+ and sampling to model donor characteristics, mutational signatures, genomic positions, VAFs, CNAs and SVs and generates realistic synthetic cancer genomes. The pipeline reproduces tissue-specific mutational patterns and driver correlations while ensuring minimal overlap with training donors to preserve privacy. Augmenting DeepTumour training sets with OncoGAN-simulated donors improved classification accuracy, and the authors released 800 simulated genomes for community use.

Conclusion:
OncoGAN produces shareable, privacy-preserving synthetic cancer genomes that closely recapitulate real tumor features and can improve development and benchmarking of cancer-genome analysis tools.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
In silico generation of synthetic cancer genomes using generative AI

First author:
Díaz-Navarro A

Journal:
Cell Genomics

DOI:
10.1016/j.xgen.2025.100969

Reference:
Díaz-Navarro A, Zhang X, Jiao W, Wang B, Stein L. In silico generation of synthetic cancer genomes using generative AI. Cell Genomics. 2025;5:100969. https://doi.org/10.1016/j.xgen.2025.100969

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming:
❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01
☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
More at basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/in-silico-generation-of-synthetic-cancer-genomes-using-generative-ai

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-09-04.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited core methodology and results sections describing the OncoGAN/OncoGAN-like Ankogan pipeline, privacy safeguards, genome discretization, mutational signatures, driver-detection performance, DeepTumour validation, data accessibility, and stated limitations.
- transcript topics: OncoGAN/Ankogan pipeline architecture (GANs, TVAEs, and random sampling); Privacy-preserving data generation (independent location and context generation; final assembly); Genome discretization and position mapping (3Gbp to ~30Mbp; binning and expansion); Mutational signatures and their recovery (SBS4, SBS9; SigProfilerExtractor validation); Driver mutation analysis with ActiveDriverWGS; DeepTumour tissue-of-origin prediction and impact of synthetic data

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 7
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- OncoGAN uses a multimodel ensemble (GANs, TVAEs, random sampling) to generate eight-tumor-type synthetic cancer genomes.
- Privacy safeguards: mutation location and trinucleotide context are generated independently and combined at the end; 100 nt window check verifies context against real genome; only
- Genome discretization compresses 3,000,000,000 bp to 30,000,000 bp and bins into over 100,000 segments (with explicit mention of 105 bins of 0.3 Mbp in the canonical article).
- Mutational signatures SBS4 and SBS9 are reproduced in synthetic data; SigProfilerExtractor recapitulates the real donor distributions.
- ActiveDriverWGS detects ~89% of coding driver genes in real data and ~87% in synthetic OncoGAN data.
- DeepTumour achieves nearly 100% tissue-of-origin prediction accuracy on synthetic genomes for most tumor types; synthetic data improves training when mixed with real data.

QC result: Pass.

Lee Y et al., The American Journal of Human Genetics - This episode reviews a study using hiPSC-derived 2D cortical neurons and 3D cortical organoids from individuals with del(17)p11.2 (Smith-Magenis syndrome) to map chromatin, transcriptional, developmental, and electrophysiological consequences of the deletion. Key terms: Smith-Magenis syndrome, del(17)p11.2, hiPSC organoids, chromatin topology, neuronal hyperexcitability.

Study Highlights:
The authors show that del(17)p11.2 induces local TAD fusion on chromosome 17 and genome-wide chromatin miswiring in hiPSCs and cortical organoids, with widespread transcriptional dysregulation. SMS organoids display reduced growth, enlarged PAX6+ ventricles, impaired progenitor cell-cycle progression, and accelerated neuronal maturation. In 2D cortical neurons, SMS cells exhibit early accelerated dendritic growth, increased excitatory synapse density, and intrinsic hyperexcitability linked to reduced voltage-gated potassium conductance. Together, the models recapitulate neuroanatomical and neurophysiological features of SMS and identify candidate molecular and cellular mechanisms.

Conclusion:
del(17)p11.2 disrupts 3D chromatin architecture and transcriptional programs, impairing progenitor proliferation and promoting neuronal hyperexcitability, which hiPSC-derived 2D and 3D models faithfully recapitulate and that point to potassium-channel and cell-cycle pathways as potential intervention targets.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models

First author:
Lee Y

Journal:
The American Journal of Human Genetics

DOI:
10.1016/j.ajhg.2025.07.020

Reference:
Lee Y.-J., Chang Y.-T., Cho Y., Kowalczyk M., Dragoiescu A., Pacis A., Kailasam S., Lefebvre F., Zhang Q., Gao X., Huang W.-H. (2025). Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models. The American Journal of Human Genetics 112, 1–25. https://doi.org/10.1016/j.ajhg.2025.07.020

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/molecular-and-developmental-deficits-in-smith-magenis-syndrome-human-stem-cell-derived-cortical-neural-models

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-09-03.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited transcript sections covering human iPSC-based SMS models (2D neurons and 3D organoids), 3D genome topology (Hi-C/TAD fusion), transcriptional changes (snRNA-seq/bulk RNA-seq), organoid growth and ventriculomegaly, NPC proliferation/cell-cycle defects, 2D neuron maturation and hyperexcitability with potassium-ch
- transcript topics: Human iPSC-derived SMS models (2D cortical neurons and 3D cortical organoids); 3D genome architecture and chromatin topology changes (Hi-C, TAD fusion, trans effects); Global transcriptional dysregulation across multiple cortical cell types (snRNA-seq and bulk RNA-seq); Organoid growth impairment and ventriculomegaly-like phenotypes with NPC proliferation defects; NPC cell-cycle perturbations and G1 arrest signatures; Neuron maturation and dendritic expansion with early excitatory synapse changes

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 8
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- del(17)p11.2 in SMS hiPSCs and cortical organoids alters 3D chromatin topology (local TAD fusion and global miswiring)
- Widespread transcriptional dysregulation across multiple cortical cell types (trans effects observed beyond deleted region)
- SMS cortical organoids show reduced growth and ventriculomegaly-like ventricles due to impaired NPC proliferation/cell-cycle progression
- SMS 2D cortical neurons show accelerated dendritic growth followed by neuronal hyperexcitability linked to reduced potassium conductance
- Reduced voltage-gated potassium currents (K fast and K slow) accompany hyperexcitability; SLC family transporters involved
- POTEI and POTEF are primate-specific protocadherin-related genes with altered expression in SMS organoids

QC result: Pass.

Blauwendraat C et al., The American Journal of Human Genetics - This episode reviews a perspective on the Global Parkinson’s Genetics Program (GP2), a coordinated international effort to expand Parkinson disease genetic discovery across underrepresented populations by combining large-scale genotyping, sequencing, capacity building, and open data sharing. Key terms: Parkinson's disease, genetics, global collaboration, diversity, data sharing.

Study Highlights:
GP2 is a five-year international initiative that aims to generate and harmonize genetic data from a global cohort, prioritizing underrepresented populations and equitable collaboration. The program works with 275 sites and reports data and samples from 265,000 subjects committed to GP2 as of May 2025, with ~83,000 individuals included in a recent data release. Key components include centralized data generation, cloud-based harmonized analysis, extensive training (250+ trainees and many courses), and regional capacity-building such as biorepositories. Lessons learned emphasize stable long-term funding, balancing centralized efficiency with decentralized equity, addressing legal and operational complexity, and promoting transparent, democratized access to data.

Conclusion:
GP2 demonstrates that large-scale, globally inclusive genetics efforts can accelerate discovery, refine biological definitions of Parkinson disease, and enable precision therapeutic strategies; sustained funding, capacity building, and transparent data sharing are critical to its success.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities

First author:
Blauwendraat C

Journal:
The American Journal of Human Genetics

DOI:
10.1016/j.ajhg.2025.07.014

Reference:
Blauwendraat C., Noyce A.J., Mata I.F., et al., Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities. The American Journal of Human Genetics (2025). https://doi.org/10.1016/j.ajhg.2025.07.014

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/tackling-a-disease-on-a-global-scale-the-global-parkinsons-genetics-program-gp2-a-new-generation-of-opportunities

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-09-02.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited transcript sections covering GP2 goals and structure, pillars, data sharing model, key genetic findings (including RS3115534G in GBA1), pleomorphic risk loci, biomarker context (alpha-synuclein SAA), governance/no-surprises policy, training, and future directions.
- transcript topics: Global diversity and PD genetics need; GP2 structure and four actionable areas; Data democratization and cloud analysis; Training and capacity building; Key genetic findings and pleomorphic risk loci; Biomarkers and alpha-synuclein SAA

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 6
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- GP2 consists of 275 research groups across >60 countries.
- Data and samples from 265,000 subjects committed to GP2 as of May 2025.
- 83,000 individuals in GP2 data release 10.
- GP2 pillars: global collaboration and capacity building; democratizing data; growing next generation leaders; applying transformative genetic methods.
- No-surprises policy with a Project Proposal Working Group guiding cross-cohort analysis.
- African-ancestry risk factor RS3115534G disrupts an intronic branch point in GBA1, enabling GBA1-based clinical trials.

QC result: Pass.

Ratajczak F et al., The American Journal of Human Genetics - This study uses the Speos graph machine-learning framework on multi-modal molecular networks to identify core genes for complex traits, focusing on ulcerative colitis (UC). It shows tissue-specific core-gene expression, coordinated regulation of core genes after perturbation, and frequent non-linear interactions in co-perturbations. Key terms: omnigenic, core genes, ulcerative colitis, Speos, perturbation.

Study Highlights:
Using Speos, the authors identify confident core-gene sets for UC that are enriched for tissue-specific expression and disease-relevant network connections. Genome-scale perturbation data show that about one-third of knockdown or overexpression perturbations differentially affect core versus peripheral genes, a pattern not seen for GWAS or random gene sets. Core genes respond in a concerted manner across traits and cell lines, while co-perturbation simulations predict frequent non-linear genetic interactions between core genes. These results extend the omnigenic model by highlighting coordinated regulation and interaction among core genes as mechanisms that can contribute to heritability.

Conclusion:
Core genes occupy central, tissue-relevant positions in molecular networks and are coherently regulated by perturbations across the genome; non-additive interactions among core genes add a further layer of complexity to the omnigenic model and to how peripheral variation may influence disease.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Exploring the omnigenic architecture of selected complex traits

First author:
Ratajczak F

Journal:
The American Journal of Human Genetics

DOI:
10.1016/j.ajhg.2025.07.006

Reference:
Ratajczak F., Heinig M., Falter-Braun P. (2025). Exploring the omnigenic architecture of selected complex traits. The American Journal of Human Genetics 112, 1–23. https://doi.org/10.1016/j.ajhg.2025.07.006

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/exploring-the-omnigenic-architecture-of-selected-complex-traits

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-09-01.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited transcript sections describing the omnigenic model, core vs peripheral genes, Speos multi-modal network, 72-tissue expression features, LINCS perturbation analyses, GEARS co-perturbations, cross-disease validation (CAD and SCZ), mouse knockout and human tissue expression evidence, and clinical implications for
- transcript topics: Omnigenic model overview with core vs peripheral genes; Speos: multi-modal network construction and core-gene identification; Immune-tissue expression of UC core genes versus colon; LINCS perturbation analyses showing concerted core gene regulation; GEARS co-perturbation simulations: non-additive interactions (neomorphism, suppression); Cross-trait validation: CAD and schizophrenia architectures

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 7
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- UC core genes identified by Speos: 693 highly confident core-gene candidates for UC
- Core genes are tissue-relevant, with high expression in immune tissues (blood, spleen, EBV-transformed lymphocytes) rather than the colon
- One-third of perturbations in LINCS data produce discriminative effects on core genes versus peripheral genes
- Co-perturbation simulations reveal non-linear interactions among core genes (neomorphism and suppression)
- The same core-periphery architecture is observed in CAD and schizophrenia, indicating a potentially universal omnigenic pattern
- Peripheral HSPs (e.g., INAVA, PARK7, MAML2) show GWAS signals but lack tissue-specific core expression, illustrating peripheral regulation

QC result: Pass.

Fielder SM et al et al., EMBO Molecular Medicine - This episode examines a study that identifies de novo heterozygous missense variants in ATP5F1A that cause developmental and movement disorders by destabilizing mitochondrial complex V. Functional C. elegans modeling and patient-cell assays reveal a dominant negative mechanism and uncoupled oxidative phosphorylation. Key terms: ATP5F1A, complex V, oxidative phosphorylation, dominant negative, mitochondrial disease.

Study Highlights:
Six probands carry four de novo heterozygous ATP5F1A missense variants located at α:β or α:γ contact points of the F1 ATP synthase. CRISPR knock-ins in C. elegans show the variants are damaging and act dominantly, with phenotypes suppressed by extra wild-type copies. Patient fibroblasts and lymphoblastoid cells display reduced complex V abundance and activity, and proband fibroblasts show increased oxygen consumption but decreased membrane potential and ATP consistent with uncoupling. Proteomics, BN-PAGE, and biochemical assays support destabilization of complex V as the pathophysiologic mechanism.

Conclusion:
De novo heterozygous ATP5F1A missense variants can act as dominant negative alleles that reduce complex V stability and activity and cause uncoupled oxidative phosphorylation, producing a spectrum of persistent neurological phenotypes; integrated functional studies are required to classify such variants.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Dominant negative ATP5F1A variants disrupt oxidative phosphorylation causing neurological disorders

First author:
Fielder SM et al

Journal:
EMBO Molecular Medicine

DOI:
10.1038/s44321-025-00290-8

Reference:
Fielder SM et al., Dominant negative ATP5F1A variants disrupt oxidative phosphorylation causing neurological disorders. EMBO Mol Med (2025). DOI:10.1038/s44321-025-00290-8

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/dominantnegative-atp5f1a-variants-uncouple-complex-v-and-drive-neurological-disease

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-31.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited the transcript's coverage of structure, variants, and function of ATP5F1A; dominant negative mechanism; C. elegans modeling; patient-cell metabolism; comparison to Arg207His; clinical implications.
- transcript topics: ATP synthase structure and Complex V; ATP5F1A dominant negative variants; Variant localization at α:β and α:γ interfaces; C. elegans functional modeling and rescue; Proteomics and BN-PAGE analyses of patient cells; Mitochondrial respiration and uncoupled oxidative phosphorylation

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 7
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- Six probands with heterozygous de novo ATP5F1A variants presented with developmental delay, intellectual disability, and movement disorders.
- Variants map to contact points between the α-subunit and β- or γ-subunits (α:β and α:γ) of the F1 complex.
- In vivo functional studies in C. elegans show these variants are damaging via a dominant negative mechanism; phenotypes are suppressible by extra wild-type copies.
- Proband-derived cells show reduced complex V abundance and activity; ATP5F1A and OSCP-related subunits are decreased.
- Mitochondrial physiology reveals uncoupled oxidative phosphorylation: increased oxygen consumption with decreased membrane potential and ATP.
- Arg207His is a previously reported ATP5F1A variant with neonatal onset and clinical resolution by 18 months, contrasting with the current variants.

QC result: Pass.

Urda-García B et al., PNAS - This episode discusses a PNAS study that builds disease similarity networks from public RNA-seq data and shows that stratifying patients into 'meta-patients' uncovers molecular mechanisms behind many medically observed comorbidities. Key terms: transcriptomics, comorbidity, disease networks, patient stratification, immune system.

Study Highlights:
The authors used uniformly processed RNA-seq from 45 diseases to build a Disease Similarity Network (DSN) and a Stratified Similarity Network (SSN) that includes patient subgroups (meta-patients). The DSN recapitulates 46.2% of epidemiological comorbidities and the SSN raises recall to 64.13%, while maintaining precision. Most captured comorbidities implicate immune system pathways and shared dysregulated Reactome pathways such as ECM, metabolism, and signal transduction. Meta-patients reveal subgroup-specific comorbidity links and increase detection power, especially for heterogeneous diseases.

Conclusion:
Gene expression–based disease networks, enhanced by patient stratification, explain a large fraction of known comorbidities and provide molecular hypotheses—predominantly immune-related—that can guide personalized management and further study.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
Patient stratification reveals the molecular basis of disease co- occurrences

First author:
Urda-García B

Journal:
PNAS

DOI:
10.1073/pnas.2421060122

Reference:
Urda-García B, Sánchez-Valle J, Lepore R, Valencia A. Patient stratification reveals the molecular basis of disease co-occurrences. PNAS. 2025;122(35):e2421060122. doi:10.1073/pnas.2421060122

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/patient-stratification-reveals-the-molecular-basis-of-disease-co-occurrences

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-30.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited sections cover: comorbidity concept, differential expression strategy, DSN/SSN methodology, meta-patient stratification, key molecular mechanisms (immune system and ECM), inverse comorbidities (Huntington's with cancers), Down syndrome heterogeneity, and the public web resource.
- transcript topics: Comorbidity concepts and data sources; RNA-seq differential expression and disease fingerprinting; Disease Similarity Network (DSN) construction; Stratified Similarity Network (SSN) and meta-patients; Immune system and ECM pathways in comorbidities; Inverse comorbidity and Huntington's disease example

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 6
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- DSN recalls 46.2% of known epidemiological comorbidities
- SSN recalls 64.1% (meta-patients) of epidemiological associations
- 95.2% of epidemiological interactions share at least one immune system pathway
- ECM pathways and related metabolic/signal pathways are commonly altered in comorbidities
- Huntington's disease shows inverse comorbidity with certain cancers; ~85% of shared pathways are oppositely regulated
- Huntington's immune signaling includes increased IL-12 and complement cascade activation

QC result: Pass.

Keahia DL et al., Proceedings of the National Academy of Sciences (PNAS) - This study shows that G-quadruplex (G4) DNA structures are hotspots of replication stress and mutagenesis in BRCA2-deficient cerebellar granule cell progenitors (GCPs), driving SHH-subgroup medulloblastoma, and identifies upregulation of the G4-resolving helicase PIF1 in tumors. Key terms: BRCA2, G-quadruplexes, PIF1, medulloblastoma, granule cell progenitors.

Study Highlights:
Deletion of Brca2 exons 3–4 combined with Trp53 loss in mice produced fully penetrant SHH medulloblastomas that resemble proliferating GCPs. Whole-genome sequencing of tumors revealed structural variant breakpoints significantly overlapping putative and experimentally mapped G4-forming sequences. BRCA2-deficient GCPs show reduced replication speed and increased cell death upon G4 stabilization with pyridostatin, and tumor cells upregulate Pif1. Genetic loss of Pif1 in primary tumor cells increases genomic instability and fork stalling when G4s are stabilized, implicating PIF1 as a tumor maintenance factor and potential therapeutic target.

Conclusion:
G4 DNA structures are an endogenous source of replication stress in proliferating GCPs that, without BRCA2, lead to genome instability and medulloblastoma; tumor cells compensate by upregulating PIF1, which may be exploitable therapeutically.

Music:
Enjoy the music based on this article at the end of the episode.

Article title:
G-quadruplexes as a source of vulnerability in BRCA2-deficient granule cell progenitors and medulloblastoma

First author:
Keahia DL

Journal:
Proceedings of the National Academy of Sciences (PNAS)

DOI:
10.1073/pnas.2503872122

Reference:
Keahia DL, Sanders MA, Paul MR, Webster ALH, Hatten ME, Smogorzewska A, et al. G-quadruplexes as a source of vulnerability in BRCA2-deficient granule cell progenitors and medulloblastoma. PNAS. 2025;122(35):e2503872122. doi:10.1073/pnas.2503872122

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

Support:
Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00

Official website https://basebybase.com

On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.

Episode link: https://basebybase.com/episodes/g-quadruplexes-as-a-source-of-vulnerability-in-brca2-deficient-granule-cell-progenitors-and-medulloblastoma

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-29.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited the central experimental results and claims described in the transcript that map to the article's main findings: BRCA2 deficiency in granule cell progenitors, G4-related replication stress, PIF1 upregulation, Ptch1 overlap with G4s, PDS experiments, and therapeutic implications of PIF1 inhibition.
- transcript topics: BRCA2 function in granule cell progenitors; G-quadruplex structures and replication stress; Brca2Δex3-4; Trp53−/− mouse medulloblastoma model; Structural variant breakpoints and Ptch1 overlap with G4s; PIF1 upregulation and dependency in BRCA2-deficient MB; Pyridostatin (PDS) stabilization of G4s

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 5
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- BRCA2 deficiency (BRCA2Δex3-4) with TP53 loss leads to SHH-subgroup medulloblastoma with complete penetrance in mice.
- G4 structures cause replication fork stalling in BRCA2-deficient GCPs; BRCA2 promotes fork protection at G4s; stabilizing G4s with pyridostatin (PDS) blocks replication and induces
- Ptch1 mutations in MB overlap with G4-dense loci; SVs/CNVs in MBs co-localize with predicted G4-forming sequences in both mouse and human samples.
- PIF1 helicase is highly upregulated in BRCA2-deficient MBs and supports replication through G4s; PIF1 knockout impairs replication and increases genomic instability, suggesting a t
- Targeting PIF1 could selectively kill BRCA2-deficient MB cells (synthetic lethality) when combined with other therapies; limitations exist (p53 status, incomplete mechanistic detai
- PDS experiments, EdU incorporation, fork speed measurements, and micronuclei formation collectively support a BRCA2-G4-PIF1 axis in MB.

QC result: Pass.