NGI is one of the largest technical platforms at SciLifeLab. We provide access to technology for sequencing, genotyping and associated bioinformatics support to researchers based in Sweden.
NGI OpenLab: A New Hub for Collaborative Genomics!
We're thrilled to announce the official launch of NGI OpenLab, an innovative space designed to empower genomics research. The lab provides direct access to equipment for quality control (QC), library preparation and a walk-up sequencer for on-the-go sequencing needs.
At NGI, we continuously monitor our sequencing output to ensure the highest standards of data quality. Over the past year, our team has been actively investigating intermittent data quality observations on our NextSeq 2000 platform. Below is a detailed overview of the issue, our interactions with Illumina, and the steps we are taking to resolve it.
Southern African ancient genomes estimate modern human divergence to 350,000 to 260,000 years ago.
CM Schlebusch, H Malmström, T Günther, P Sjödin, A Coutinho, H Edlund, AR Munters, M Vicente, M Steyn, H Soodyall, M Lombard, M Jakobsson
Science, 358 (6363) 1095-9203 (2017)
Southern Africa is consistently placed as a potential region for the evolution of Homo sapiens We present genome sequences, up to 13x coverage, from seven ancient individuals from KwaZulu-Natal, South Africa. The remains of three Stone Age hunter-gatherers (about 2000 years old) were genetically similar to current-day southern San groups, and those of four Iron Age farmers (300 to 500 years old) were genetically similar to present-day Bantu-language speakers. We estimate that all modern-day Khoe-San groups have been influenced by 9 to 30% genetic admixture from East Africans/Eurasians. Using traditional and new approaches, we estimate the first modern human population divergence time to between 350,000 and 260,000 years ago. This estimate increases the deepest divergence among modern humans, coinciding with anatomical developments of archaic humans into modern humans, as represented in the local fossil record.
Moose genomes reveal past glacial demography and the origin of modern lineages.
N Dussex, F Alberti, MT Heino, R Olsen, T van der Valk, N Ryman, L Laikre, H Ahlgren, IV Askeyev, OV Askeyev, DN Shaymuratova, AO Askeyev, D Döppes, R Friedrich, S Lindauer, W Rosendahl, J Aspi, M Hofreiter, K Lidén, L Dalén, D Díez-Del-Molino
Numerous megafauna species from northern latitudes went extinct during the Pleistocene/Holocene transition as a result of climate-induced habitat changes. However, several ungulate species managed to successfully track their habitats during this period to eventually flourish and recolonise the holarctic regions. So far, the genomic impacts of these climate fluctuations on ungulates from high latitudes have been little explored. Here, we assemble a de-novo genome for the European moose (Alces alces) and analyse it together with re-sequenced nuclear genomes and ancient and modern mitogenomes from across the moose range in Eurasia and North America.
We found that moose demographic history was greatly influenced by glacial cycles, with demographic responses to the Pleistocene/Holocene transition similar to other temperate ungulates. Our results further support that modern moose lineages trace their origin back to populations that inhabited distinct glacial refugia during the Last Glacial Maximum (LGM). Finally, we found that present day moose in Europe and North America show low to moderate inbreeding levels resulting from post-glacial bottlenecks and founder effects, but no evidence for recent inbreeding resulting from human-induced population declines.
Taken together, our results highlight the dynamic recent evolutionary history of the moose and provide an important resource for further genomic studies.
Disruption of Accumbens and Thalamic White Matter Connectivity Revealed by Diffusion Tensor Tractography in Young Men with Genetic Risk for Obesity
G Olivo, F Latini, L Wiemerslage, EM Larsson, HB Schiöth
Front Hum Neurosci, 12 1662-5161 (2018)
Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing.
LT Fang, B Zhu, Y Zhao, W Chen, Z Yang, L Kerrigan, K Langenbach, M de Mars, C Lu, K Idler, H Jacob, Y Zheng, L Ren, Y Yu, E Jaeger, GP Schroth, OD Abaan, K Talsania, J Lack, TW Shen, Z Chen, S Stanbouly, B Tran, J Shetty, Y Kriga, D Meerzaman, C Nguyen, V Petitjean, M Sultan, M Cam, M Mehta, T Hung, E Peters, R Kalamegham, SME Sahraeian, M Mohiyuddin, Y Guo, L Yao, L Song, HYK Lam, J Drabek, P Vojta, R Maestro, D Gasparotto, S Kõks, E Reimann, A Scherer, J Nordlund, U Liljedahl, RV Jensen, M Pirooznia, Z Li, C Xiao, ST Sherry, R Kusko, M Moos, E Donaldson, Z Tezak, B Ning, W Tong, J Li, P Duerken-Hughes, C Catalanotti, S Maheshwari, J Shuga, WS Liang, J Keats, J Adkins, E Tassone, V Zismann, T McDaniel, J Trent, J Foox, D Butler, CE Mason, H Hong, L Shi, C Wang, W Xiao, Somatic Mutation Working Group of Sequencing Quality Control Phase II Consortium
The lack of samples for generating standardized DNA datasets for setting up a sequencing pipeline or benchmarking the performance of different algorithms limits the implementation and uptake of cancer genomics. Here, we describe reference call sets obtained from paired tumor-normal genomic DNA (gDNA) samples derived from a breast cancer cell line-which is highly heterogeneous, with an aneuploid genome, and enriched in somatic alterations-and a matched lymphoblastoid cell line. We partially validated both somatic mutations and germline variants in these call sets via whole-exome sequencing (WES) with different sequencing platforms and targeted sequencing with >2,000-fold coverage, spanning 82% of genomic regions with high confidence. Although the gDNA reference samples are not representative of primary cancer cells from a clinical sample, when setting up a sequencing pipeline, they not only minimize potential biases from technologies, assays and informatics but also provide a unique resource for benchmarking 'tumor-only' or 'matched tumor-normal' analyses.
A genome-wide association study revealed five SNPs affecting 8-month weight in sheep.
M Pasandideh, M Gholizadeh, G Rahimi-Mianji
Anim Genet, 51 (6) 1365-2052 (2020)
Lamb weight at 8 months of age is an important trait in the sheep industry in terms of the onset of puberty around this age; however, knowledge of its effective genetic factors is limited. Therefore, a GWAS using the 50K SNP-Chip was performed on 96 Baluchi sheep to identify the genomic regions associated with 8-month weight. The results of the present study revealed five SNPs on chromosomes 4, 14 and 16 at 5% chromosome-wide significance level, jointly accounting for 0.95% of total genetic variance. Four genes - MTPN, HYDIN, LRGUK and ZFP90 - were found in 50 kb intervals around the significant SNPs, of which MTPN is involved in regulation of skeletal muscle growth. Our results may provide a new vision to identify the genomic regions affecting growth traits in sheep.
Genotype-dependent epigenetic regulation of DLGAP2 in alcohol use and dependence.
W Meng, LK Sjöholm, O Kononenko, N Tay, D Zhang, D Sarkisyan, JR Geske, A Ing, W Qiu, H Watanabe, R Almamoun, H Frieling, S Bleich, D Cui, JM Biernacka, RD Mayfield, Y Dang, VM Karpyak, G Schumann, IMAGEN Consortium, G Bakalkin, TJ Ekström, J Rüegg, Y Liu
Mol. Psychiatry, 1476-5578 (2019)
Alcohol misuse is a major public health problem originating from genetic and environmental risk factors. Alterations in the brain epigenome may orchestrate changes in gene expression that lead to alcohol misuse and dependence. Through epigenome-wide association analysis of DNA methylation from human brain tissues, we identified a differentially methylated region, DMR-DLGAP2, associated with alcohol dependence. Methylation within DMR-DLGAP2 was found to be genotype-dependent, allele-specific and associated with reward processing in brain. Methylation at the DMR-DLGAP2 regulated expression of DLGAP2 in vitro, and Dlgap2-deficient mice showed reduced alcohol consumption compared with wild-type controls. These results suggest that DLGAP2 may be an interface for genetic and epigenetic factors controlling alcohol use and dependence.
BaTwa populations from Zambia retain ancestry of past hunter-gatherer groups.
G Breton, L Barham, G Mudenda, H Soodyall, CM Schlebusch, M Jakobsson
Sub-equatorial Africa is today inhabited predominantly by Bantu-speaking groups of Western African descent who brought agriculture to the Luangwa valley in eastern Zambia ~2000 years ago. Before their arrival the area was inhabited by hunter-gatherers, who in many cases were subsequently replaced, displaced or assimilated. In Zambia, we know little about the genetic affinities of these hunter-gatherers. We examine ancestry of two isolated communities in Zambia, known as BaTwa and possible descendants of recent hunter-gatherers. We genotype over two million genome-wide SNPs from two BaTwa populations (total of 80 individuals) and from three comparative farming populations to: (i) determine if the BaTwa carry genetic links to past hunter-gatherer-groups, and (ii) characterise the genetic affinities of past Zambian hunter-gatherer-groups. The BaTwa populations do harbour a hunter-gatherer-like genetic ancestry and Western African ancestry. The hunter-gatherer component is a unique local signature, intermediate between current-day Khoe-San ancestry from southern Africa and central African rainforest hunter-gatherer ancestry.
Last Updated: 7th July 2026
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