Tatiana Zerjal is a highly productive genomics scientist with a career spanning three decades. OpenAlex records 196 works, ~9,940 citations, and an h-index of 34 for the primary author profile (); Semantic Scholar records 83 papers, h-index 31, and 9,850 citations.
Zerjal contributed to landmark human population-genetics papers, including the Nature study of global copy-number variation (~4,400 citations), Y-chromosomal diversity in Europe (~620 citations), and first-authored 'The Genetic Legacy of the Mongols' (~567 citations), plus the Jefferson paternity case (~276 citations) () (). Her career later pivoted to livestock genomics: QTL detection in laying hens, chicken lncRNA atlases, heat-stress robustness meta-analyses, and avian epigenetics.
The citation peak in 2006 reflects the CNV Nature paper; continued citation through 2019β2021 confirms sustained relevance of the livestock and epigenetics work. Recent works (2022β2026) have low citation counts, as expected for very new output.
Zerjal is a co-author on a 2026 preprint analyzing 1,261 quail methylomes across generations, finding no epiline DMCs in G0 but 621 in G1 and 1,381 in G2, with DMC heritability of 0.54β0.63 versus 0.19 genome-wide, and minimal epiline FST (mean 0.004). The authors carefully note that DMCs with <1% methylation differences may lack biological relevance and that genetics alone cannot fully explain the pattern (author interpretation) (). The large sample sizes, mirror-mating design, open data/code, and explicit falsification criteria reflect strong methodological rigor; blindspots include RRBS ascertainment bias, blood-only sampling, and untested germline transmission.
Zerjal demonstrates an unusual and valuable breadth: from human evolutionary genomics to applied poultry genetics to epigenetic-inheritance methodology. Blindspots: heavy reliance on collaborative middle/last positions in most top works; several conference abstracts and corrections in the record; and the flagship 2026 epigenetics paper's conclusions on transgenerational methylation remain interpretation-laden pending the SNP-covariate test the authors themselves flag.
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