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    Statistical association between SNPs and conditions does ... — Carmelics
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    Challenges→Findings from association studies can contribute to the analysis of the condition itself.

    Statistical association between SNPs and conditions does not establish causal relevance, as confounding population structure can generate spurious correlations.

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    1 reason for
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    Reasons For

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    • 1.Population stratification creates allele frequency differences unrelated to disease, producing associations that vanish in ancestry-matched subgroups.
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    • 2.Mendelian randomization and other causal inference methods show many SNP-disease associations disappear when confounding is properly controlled.
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    • 3.Statistical association alone cannot distinguish direct causation from linkage disequilibrium with unmeasured causal variants.
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    Reasons Against

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    • 1.Modern GWAS uses ancestry-matched controls and population stratification corrections, substantially reducing spurious associations from confounding.
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    • 2.Functional validation, replication across diverse populations, and mechanistic evidence support causal relevance for many SNP-disease associations.
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    • 3.The claim conflates 'association does not prove causation' with 'association is uninformative,' but associations guide causal investigation productively.
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    Related

    Findings from association studies can contribute to the analysis of the conditio...Functional validation, replication across diverse populations, and mechanistic e...Mendelian randomization and other causal inference methods show many SNP-disease...Modern GWAS uses ancestry-matched controls and population stratification correct...
    +3 moreShow less
    Population stratification creates allele frequency differences unrelated to dise...Statistical association alone cannot distinguish direct causation from linkage d...The claim conflates 'association does not prove causation' with 'association is ...

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    2 (1 for, 1 against)
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