Etiqueta: AmJHumGenet
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Best practices for improving alignment and variant calling on human sex chromosomes
Aligning and calling variants in a way that accounts for the sex chromosome complement of the sample will reduce false-positive variants and increase true-positive variants on the X and Y chromosomes.
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Selective chr21 homolog silencing reveals polymorphisms influence the epigenetic silencing and functional dosage of RWDD2B
Selective homolog silencing (with XIST) provides an approach to study polymorphisms in cells from one individual, complementing population-level studies. In trisomy 21 iPSCs, primarily only one specific homolog transcribed RWDD2B, which is linked to po…
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Inclusion bias affects common variant discovery and replication in a health-system linked biobank
We quantify inclusion bias in a health-system-linked biobank using classification models to distinguish enrolled individuals from the background population. To evaluate its impact on genetic findings observed in biobanks, we reweight analyses by enroll…
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2025 ASHG Scientific Achievement Award: Decoding the genome—From structure to development to the promise of precision medicine
This article is based on the address given by the author at the 2025 meeting of The American Society of Human Genetics (ASHG) in Boston, MA. A video of the original address can be found at the ASHG website.
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2025 ASHG Lifetime Achievement Award
This article is based on the address given by the author at the 2025 meeting of The American Society of Human Genetics (ASHG) in Boston, MA. A video of the original address can be found at the ASHG website.
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2025 ASHG Leadership Award
This article is based on the address given by the author at the 2025 meeting of the American Society of Human Genetics (ASHG) in Boston, MA. A video of the address can be found on the ASHG website.
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2025 ASHG presidential address: Stronger together: Advancing human genetics through the power of community
This article is based on the address given by the author at the 2025 meeting of The American Society of Human Genetics (ASHG) in Boston, MA. A video of the original address can be found at the ASHG website.
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Mind the gap: Characterizing bias due to population mismatch in two-sample Mendelian randomization
We demonstrate that differences between populations can lead to biased causal effect estimates in Mendelian randomization (MR), a causal inference method based on genetic data. We provide a broad empirical survey of the size of these biases, demonstrat…
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Newborn screening for type 1 diabetes using genome-based risk scores in the Early Check program
The application of genetic risk scores (GRSs) in newborn screening is in its infancy. This study demonstrates the feasibility of large-scale GRS-based screening for type 1 diabetes risk using whole-genome sequencing data from dried blood spots in a rea…
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This month in The Journal
As genomic medicine is being increasingly integrated into healthcare systems, we’re seeing a shift in workforce needs. More clinicians, genetic counselors, and scientists need specific training in variant interpretation, but education, training initiat…