The tangential growth of the human visual cortex and maternal smoking during pregnancy.
The 2 matches · all tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
- [1] § Materials and methods › Genotyping of rare variants ↔ bin/dataset_specific/extraction_snps_indels_SPARK_iWESv3.sh, the whole file · a weak match · score 0.83 · allele depth, genotype quality, gVCF, missing genotypes, Homozygous, DP
- [2] § Materials and methods › Genotyping of rare variants ↔ bin/dataset_specific/extraction_snps_indels_default.sh, the whole file · a weak match · score 0.82 · allele depth, genotype quality, gVCF, missing genotypes, Homozygous, DP
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
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The authors' code
Shell · 87 lines · 3.5 KB · Apache-2.0 · 1 match
- # Florian Bénitière - 21/03/2025
- # This script processes unique SPARK gVCF files to filter SNPs, INDELs, and non-homozygous ref sites.
- # It then retains only short variants (SNVs and Indels) that intersect between GATK and DeepVariant, preserving DeepVariant metadata in the output.
- #!/bin/bash
- # Exit immediately if a command exits with a non-zero status, if an undefined variable is used, or if a command in a pipeline fails
- set -euo pipefail
- # Define input arguments
- sample=$1 # Sample name
- input_gatk=$2 # Path to the GATK input file
- input_deepvariant=$3 # Path to the DeepVariant input file
- output=$4
- fasta_ref=$5
- cpu=${6:-$(nproc)} # Use provided CPU count or default to the number of available processors
- echo "Processing sample: ${sample}"
- echo "Threads used: ${cpu}"
- # Check if required input files exist before proceeding
- for file in "$input_gatk" "$input_deepvariant" "$fasta_ref"; do
- if [ ! -f "$file" ]; then
- echo "Error: File $file not found." >&2
- exit 1
- fi
- done
- # Check if required tools are installed (bcftools, tabix, bgzip)
- for cmd in bcftools tabix bgzip; do
- if ! command -v $cmd &> /dev/null; then
- echo "Error: $cmd is not installed." >&2
- exit 1
- fi
- done
- # Create a random temporary directory that is automatically cleaned up on exit
- tempdir_path=$(mktemp -d -t extraction_snps_indels_${sample}_XXXXXX)
- trap "rm -rf ${tempdir_path}" EXIT # Ensure cleanup on exit
- # Create a directory for storing intermediate and final files
- extension_path=${tempdir_path}${sample}
- # Extract and normalize SNPs/Indels from GATK, filter out homozygous ref and missing genotypes or missing metrics (DP=depth, AD=allele depth, GQ=genotype quality), and compress output
- bcftools view -v snps,indels --threads ${cpu} ${input_gatk} | \
- bcftools norm -m- --threads ${cpu} | \
- bcftools view -v snps,indels -e 'GT="0/0" || GT="0|0" || GT="./." || GT=".|." || FMT/DP="." || FMT/AD="." || FMT/GQ="."' --threads ${cpu} | \
- bcftools norm -f ${fasta_ref} --threads ${cpu} | \
- bcftools view -Oz -o ${extension_path}_gatk.vcf.gz
- # Index the compressed VCF file
- tabix -f ${extension_path}_gatk.vcf.gz
- # Extract and normalize SNPs/Indels from DeepVariant, filter out homozygous ref and missing genotypes or missing metrics (DP=depth, AD=allele depth, GQ=genotype quality), and compress output
- bcftools view -v snps,indels --threads ${cpu} ${input_deepvariant} | \
- bcftools norm -m- --threads ${cpu} | \
- bcftools view -v snps,indels -e 'GT="0/0" || GT="0|0" || GT="./." || GT=".|." || FMT/DP="." || FMT/AD="." || FMT/GQ="."' --threads ${cpu} | \
- bcftools norm -f ${fasta_ref} --threads ${cpu} | \
- bcftools view -Oz -o ${extension_path}_deepvariant.vcf.gz
- # Index the compressed VCF file
- tabix -f ${extension_path}_deepvariant.vcf.gz
- # Identify positions that are present in both DeepVariant and GATK results
- bcftools isec ${extension_path}_deepvariant.vcf.gz \
- ${extension_path}_gatk.vcf.gz \
- --threads ${cpu} -n=2 -w 1 -Oz -o ${extension_path}_shared_pos.vcf.gz
- # Extract variant information from the unique position VCF file and save as a tab-separated file
- (echo -e "CHROM\tPOS\tREF\tALT\tGT\tDP\tAD\tGQ"; \
- bcftools query -f '%CHROM\t%POS\t%REF\t%ALT\t[%GT\t%DP\t%AD\t%GQ]\n' ${extension_path}_shared_pos.vcf.gz) > \
- ${output%.gz}
- # Compress the TSV file
- bgzip -f ${output%.gz}
- # Print the number of lines in the compressed TSV file
- echo $(zcat ${output} | wc -l)
- # Print the count of unique genotype occurrences
- echo $(zcat ${output} | cut -f 5 | sort | uniq -c)
extraction_snps_indels_SPARK_iWESv3.sh at commit 6030cc9, under Apache-2.0 · at the source
Overview
- CHU Sainte-Justine Research Centre, 3175 Chemin de la Côte-Sainte-Catherine, Montréal, QC H3T 1C5, Canada
- Department of Neuroscience, Université de Montréal, 2900 Edouard Montpetit Blvd, Montreal, Quebec H3T 1J4, Canada
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Carrer de Wellington, 30, Sant Martí, 08005 Barcelona, Spain
- Department of Psychiatry and Addictology, Université de Montréal, 2900 Edouard Montpetit Blvd, Montreal, Quebec H3T 1J4, Canada
- Department of Pediatrics, Université de Montréal, 2900 Edouard Montpetit Blvd, Montreal, Quebec H3T 1J4, Canada
Abstract
Exposure to maternal cigarette smoking in utero is a prenatal adversity due, in part, to the pharmacological effects of nicotine. During gestation, thalamocortical inputs—generated by cholinergic retinal waves—contribute to the development of the visual cortex (V1). First, we investigated the relationship between prenatal exposure to maternal cigarette smoking (PEMCS) and the tangential growth of V1. We observed a robust association between PEMCS and V1 surface area in the UK Biobank (n = 26,987 adults, 30% exposed) and replicated this relationship in the Saguenay Youth Study (n = 944 adolescents, 47% exposed). Subsequent in silico analyses suggested that PEMCS may influence V1 prenatal growth by disrupting the proliferation of intermediate progenitor cells and inhibitory neurons. Second, we explored the role of cholinergic retinal waves as a mechanistic pathway underlying this exposure–outcome relationship. To do so, we used causal variants in genes sensitive to retinal waves (identified in retinal ganglion cells). These variants were related to V1 surface area only among exposed individuals; deletions in these genes and putative loss-of-function single-nucleotide variants were associated with lower V1 surface area. These results suggest that PEMCS influences the prenatal tangential growth of the human V1 via the retina.
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Repositories
Its files are read in the Code ↔ Paper reader above, with 2 matches between paragraphs and lines of code.
Zenodo 16268986
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
- 27 September 2026: the link answers (HTTP 200)
24 files
- INSTALL.sh, Shell, 49 lines
- bin/
convert_vep_output_parqu , Python, 159 lineset.py - bin/
curated_annotation.py , Python, 269 lines - bin/
dataset_specific/ , Shell, 87 linesextraction_snps_indels_S PARK_iWESv3.sh - bin/
dataset_specific/ , Shell, 69 linesextraction_snps_indels_U KBB.sh - bin/
dataset_specific/ , Shell, 69 linesextraction_snps_indels_d efault.sh - bin/
dataset_specific/ , Python, 122 linesfrom_hail_to_ShortVarian ts_AllOfUs.py - bin/
dataset_specific/ , Shell, 44 linesproduce_tsv_per_sample_U KBB.sh - bin/
generate_parquet_all_Sho , Python, 110 linesrtVariants.py - bin/
generate_parquet_uniq_Sh , Python, 120 linesortVariants.py - bin/
merge_parquets.py , Python, 71 lines - bin/
pdf_columns_report.py , Python, 149 lines - bin/
unfiltered_annotation.py , Python, 178 lines - resources/
requirement/ , Shell, 46 linesref_genome.sh - resources/
requirement/ , Shell, 7 linesvenv.sh - resources/
requirement/ , Shell, 20 linesvep_requirement/ get_assembly_cache.sh - resources/
requirement/ , Shell, 33 linesvep_requirement/ plugin/ get_alphamissense_ressou rces.sh - resources/
requirement/ , Shell, 39 linesvep_requirement/ plugin/ get_loftee_ressources.sh - resources/
requirement/ , Shell, 42 linesvep_requirement/ plugin/ get_spliceai_ressources. sh - setup/
allofus_workbench/ , Shell, 42 linesINSTALL.sh - setup/
snakemake/ , Shell, 68 linesINSTALL.sh - setup/
ukbb_dnanexus/ , Shell, 47 linesINSTALL.sh - LICENSE, License, 201 lines
- README.md, Text, 360 lines
jacquemontlab/shortvariants-annotation
6030cc900fd5db77ceee815ec37af902806e0371, 29 June 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
24 files
- INSTALL.sh, Shell, 57 lines
- bin/
convert_vep_output_parqu , Python, 175 lineset.py - bin/
curated_annotation.py , Python, 269 lines - bin/
dataset_specific/ , Shell, 87 lines, 1 matchextraction_snps_indels_S PARK_iWESv3.sh - bin/
dataset_specific/ , Shell, 69 linesextraction_snps_indels_U KBB.sh - bin/
dataset_specific/ , Shell, 77 lines, 1 matchextraction_snps_indels_d efault.sh - bin/
dataset_specific/ , Python, 122 linesfrom_hail_to_ShortVarian ts_AllOfUs.py - bin/
dataset_specific/ , Shell, 44 linesproduce_tsv_per_sample_U KBB.sh - bin/
generate_parquet_all_Sho , Python, 93 linesrtVariants.py - bin/
generate_parquet_uniq_Sh , Python, 120 linesortVariants.py - bin/
merge_parquets.py , Python, 71 lines - bin/
pdf_columns_report.py , Python, 149 lines - bin/
unfiltered_annotation.py , Python, 150 lines - resources/
requirement/ , Shell, 77 linesref_genome.sh - resources/
requirement/ , Shell, 7 linesvenv.sh - resources/
requirement/ , Shell, 63 linesvep_requirement/ get_assembly_cache.sh - resources/
requirement/ , Shell, 75 linesvep_requirement/ plugin/ get_alphamissense_ressou rces.sh - resources/
requirement/ , Shell, 114 linesvep_requirement/ plugin/ get_loftee_ressources.sh - resources/
requirement/ , Shell, 85 linesvep_requirement/ plugin/ get_spliceai_ressources. sh - setup/
allofus_workbench/ , Shell, 59 linesINSTALL.sh - setup/
snakemake/ , Shell, 85 linesINSTALL.sh - setup/
ukbb_dnanexus/ , Shell, 64 linesINSTALL.sh - LICENSE, License, 201 lines
- README.md, Text, 372 lines
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
Datasets cited
- ukbiobank.ac.uk/
enable-your-research/ , at UK Biobank; found in “Data availability”apply-for-access
Data availability
UKB data is available upon request (https://
Reproduced under the paper's license (CC BY-NC), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 4 keywords, 12 MeSH terms, 3 funders, 60 references.
Cite
This paper
Navarri, X., Liao, Z., Hengenius, J. B., Bénitière, F., Jacquemont, S., Pausova, Z., & Paus, T. (2026). The tangential growth of the human visual cortex and maternal smoking during pregnancy. Cerebral cortex (New York, N.Y. : 1991), 36(7), bhag105. https://
BibTeX
@article{navarri2026tang
author = {Navarri, Xavier and Liao, Zhijie and Hengenius, James B and Bénitière, Florian and Jacquemont, Sébastien and Pausova, Zdenka and Paus, Tomáš},
title = {{The tangential growth of the human visual cortex and maternal smoking during pregnancy}},
journal = {Cerebral cortex (New York, N.Y. : 1991)},
year = {2026},
month = jul,
volume = {36},
number = {7},
pages = {bhag105},
publisher = {Oxford University Press},
issn = {1047-3211},
doi = {10.1093/
url = {https://
pmid = {42574748},
pmcid = {PMC13456333}
}
RIS
TY - JOUR
AU - Navarri, Xavier
AU - Liao, Zhijie
AU - Hengenius, James B
AU - Bénitière, Florian
AU - Jacquemont, Sébastien
AU - Pausova, Zdenka
AU - Paus, Tomáš
TI - The tangential growth of the human visual cortex and maternal smoking during pregnancy
T2 - Cerebral cortex (New York, N.Y. : 1991)
J2 - Cereb Cortex
PY - 2026
DA - 2026/
VL - 36
IS - 7
SP - bhag105
SN - 1047-3211
PB - Oxford University Press
DO - 10.1093/
UR - https://
LA - en
ER -
CSL-JSON
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