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The risk of breast cancer associated with CHEK2:c.1100delC is 2-threefold but higher in carriers with a family history of breast cancer than without, suggesting that other genetic loci in combination with CHEK2:c.1100delC confer an increased risk in a polygenic model. Part of the excess familial risk has been associated with common low-penetrance variants. This study aimed to identify genetic loci that modify CHEK2:c.1100delC-associated breast cancer risk by searching for candidate risk alleles that are overrepresented in CHEK2:c.1100delC carriers with breast cancer compared with controls. We performed whole-exome sequencing in 28 breast cancer cases with germline CHEK2:c.1100delC, 28 familial breast cancer cases and 70 controls. Candidate alleles were selected for validation in larger cohorts. One recessive synonymous variant, rs16897117, was suggested, but no overrepresentation of homozygous CHEK2:c.1100delC carriers was found in the following validation. Furthermore, 11 non-synonymous candidate alleles were suggested for further testing, but no significant difference in allele frequency could be detected in the validation in CHEK2:c.1100delC cases compared with familial breast cancer, sporadic breast cancer and controls. With this method, we found no support for a CHEK2:c.1100delC-specific genetic modifier. Further studies of CHEK2:c.1100delC genetic modifiers are warranted to improve risk assessment in clinical practice., (© 2021. The Author(s).)

Identifying genetic cancer risk factors will lead to improved genetic counseling, cancer prevention and cancer care. Analyzing families with a strong history of breast cancer (BC) has been a successful method to identify genes that contribute to the disease. This has led to discoveries of high-risk genes like the BRCA-genes. Nevertheless, many BC incidences are of unknown causes. In this study, exome sequencing on 59 BC patients from 24 Swedish families with a strong history of BC was performed to identify variants in known and novel BC predisposing genes. First, we screened known BC genes and identified two pathogenic variants in the BRIP1 and PALB2 genes. Secondly, to identify novel BC genes, rare and high impact variants and segregating in families were analyzed to identify 544 variants in novel BC candidate genes. Of those, 22 variants were defined as high-risk variants. Several interesting genes, either previously linked with BC or in pathways that when flawed could contribute to BC, were among the detected genes. The strongest candidates identified are the FANCM gene, involved in DNA double-strand break repair, and the RAD54L gene, involved in DNA recombination. Our study shows identifying pathogenic variants is challenging despite a strong family history of BC. Several interesting candidates were observed here that need to be further studied., (© 2021. The Author(s).)

Colorectal cancer (CRC) is one of the major cancer types in the western world including Sweden. However, known genetic risk factors could only explain a limited part of heritability of the disease. Moreover, colon and rectal cancers are habitually discussed as one entity, colorectal cancer, although different carcinogenesis has been recognized. A genome-wide linkage scan in 32 colon- and 56 rectal cancer families from Sweden was performed based on 475 non-FAP/HNPCC patients genotyped using SNP arrays. A maximum HLOD of 2.50 at locus 6p21.1-p12.1 and a HLOD of 2.56 at 18p11.2 was obtained for colon and rectal cancer families, respectively. Exome sequencing over the regions of interest in 12 patients from six families identified 22 and 25 candidate risk variants for colon and rectal cancer, respectively. Haplotype association analysis in the two regions was carried out between additional 477 familial CRC cases and 4780 controls and suggested candidate haplotypes possibly associated with CRC risk. This study suggested two new linkage regions for colon cancer and rectal cancer with candidate predisposing variants. Further studies are required to elucidate the pathogenic mechanism of these regions and to pinpoint the causative genes.

Here we describe the SweGen data set, a comprehensive map of genetic variation in the Swedish population. These data represent a basic resource for clinical genetics laboratories as well as for sequencing-based association studies by providing information on genetic variant frequencies in a cohort that is well matched to national patient cohorts. To select samples for this study, we first examined the genetic structure of the Swedish population using high-density SNP-array data from a nation-wide cohort of over 10 000 Swedish-born individuals included in the Swedish Twin Registry. A total of 1000 individuals, reflecting a cross-section of the population and capturing the main genetic structure, were selected for whole-genome sequencing. Analysis pipelines were developed for automated alignment, variant calling and quality control of the sequencing data. This resulted in a genome-wide collection of aggregated variant frequencies in the Swedish population that we have made available to the scientific community through the website https://swefreq.nbis.se. A total of 29.2 million single-nucleotide variants and 3.8 million indels were detected in the 1000 samples, with 9.9 million of these variants not present in current databases. Each sample contributed with an average of 7199 individual-specific variants. In addition, an average of 8645 larger structural variants (SVs) were detected per individual, and we demonstrate that the population frequencies of these SVs can be used for efficient filtering analyses. Finally, our results show that the genetic diversity within Sweden is substantial compared with the diversity among continental European populations, underscoring the relevance of establishing a local reference data set.

Plasmodium falciparum genome has 81% A+T content. This nucleotide bias leads to extreme codon usage bias and culminates in frequent insertion of asparagine homorepeats in the proteome. Using recodonized GFP sequences, we show that codons decoded via G:U wobble pairing are suboptimal codons that are negatively associated to protein translation efficiency. Despite this, one third of all codons in the genome are GU wobble codons, suggesting that codon usage in P. falciparum has not been driven to maximize translation efficiency, but may have evolved as translational regulatory mechanism. Particularly, asparagine homorepeats are generally encoded by locally clustered GU wobble AAT codons, we demonstrated that this GU wobble-rich codon context is the determining factor that causes reduction of protein level. Moreover, insertion of clustered AAT codons also causes destabilization of the transcripts. Interestingly, more frequent asparagine homorepeats insertion is seen in single-exon genes, suggesting transcripts of these genes may have been programmed for rapid mRNA decay to compensate for the inefficiency of mRNA surveillance regulation on intronless genes. To our knowledge, this is the first study that addresses P. falciparum codon usage in vitro and provides new insights on translational regulation and genome evolution of this parasite.