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Traceable Claims in Genomics

Follow genetic findings back to the exact experiments and reported results behind them.Know what the science actually supports before you trust the answer.

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     Quick Analysis Plan



    A rigorous genetics analysis plan pipelines QC β†’ variant calling β†’ association/linkage β†’ functional interpretation, exemplified here by family-based linkage (CD28/CTLA4 region, D2S116 NPL 2.55, p=0.006 in 100 Finnish families) and epigenetic/non-genetic layers (maternal feeding explaining ~32.9% of offspring activity variance in clonal fish).


     Long Analysis Plan



    Evidence-anchored genetics analysis plan

    Stage 1 β€” Data ingestion & QC. Standardize FASTQ/BAM/VCF inputs with nf-core pipelines; validate pedigree structures and phenotype harmonization before any association testing. Family-based designs (e.g., transmission/disequilibrium testing) remain robust to population stratification, as used in the Finnish celiac study of 100 families with seven microsatellite markers .

    Stage 2 β€” Variant discovery & association. Joint-call variants (GATK), QC on depth/HWE, then GWAS or TDT. For expression-layer questions, integrate Ribo-seq/RNA-seq visualization to detect novel ORFs and translational regulation, e.g., via the ggRibo R package validated on human and Arabidopsis datasets .

    Stage 3 β€” Regulatory & epigenetic interpretation. Annotate variants against transposable-element regulatory landscapes, since TEs contribute regulatory sequences and chromatin effects that shape gene expression and disease risk . Where phenotype data are longitudinal and clonal (genotype-controlled), quantify non-genetic inheritance via mixed-effects repeatability models β€” the Amazon molly study found maternal feeding predicted ~32.9% of offspring activity variance (p=0.001) across 34 mothers and 232 offspring .

    Stage 4 β€” Reporting. Report effect sizes, confidence intervals, and preregistered falsification criteria; flag known limitations: small family cohorts (n=100), population restriction (Finnish; UK Biobank white participants aged 40–69, n=288,031 for geneΓ—environment CAD work ), and over-expression artifacts in model organisms (53.8% of OsSET1-transgenic Arabidopsis showed abnormal shoots β€” an over-expression, not loss-of-function, result ).

    Key unknowns: causal variant at 2q33 unresolved by microsatellite-level linkage; mechanisms of maternal-state transmission (epigenetic marks inferred, not demonstrated); generalizability across ancestries and to natural environments untested.



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    Updated: September 16, 2026

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     Hypothesis Graveyard



    'Genetics = DNA sequence only.' The clonal-fish result (32.9% offspring variance from maternal feeding, genotype held constant) shows state-based non-genetic transmission can rival genetic effect sizes.


    'Microsatellite linkage loci are causal.' D2S116 linkage (p=0.006) only localizes a region; fine-mapping/sequencing is required and was never completed in that cohort.

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