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Wang T, Ma X, Ma C, Wu X, ZhaXi T, Yin L, Li W, Li Y, Liang C, Yan P. Whole genome resequencing-based analysis of plateau adaptation in Meiren yak ( Bos grunniens). Anim Biotechnol 2024; 35:2298406. [PMID: 38193808 DOI: 10.1080/10495398.2023.2298406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
The Meiren yak is an important genetic resource in Gansu Province, China. In this study, we aimed to explore the evolutionary history and population structure of the genetic resource of Meiren yak and to mine the characteristic genes of Meiren yak. We analysed a total of 93 yaks of eight yak breeds based on whole genome resequencing combined with population genomics and used θπ ratio and Fst method to screen the selected sites in the genome region. The results proved that Meiren yak can be used as a potential genetic resource in Gansu Province. The genes in Meiren yak with positive selection in selection signal analysis were subjected to the Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, which indicated that the genes were related to the adaptability to high altitude and hypoxic environment. By analysing the genetic variation of Meiren yak at the genome-wide level, this study provided a theoretical basis for genetic improvement of Meiren yak and for the development of high-quality yak resources.
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Affiliation(s)
- Tong Wang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
- Life science and Engineering College, Northwest Minzu University, Lanzhou, China
| | - XiaoMing Ma
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - ChaoFan Ma
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
- Life science and Engineering College, Northwest Minzu University, Lanzhou, China
| | - XiaoYun Wu
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - Ta ZhaXi
- Qilian County Veterinary Animal Husbandry Station, Qinghai, China
| | - LiXin Yin
- Huazhi Biotech Co. Ltd, Changsha, China
| | - WeiGuo Li
- Huazhi Biotech Co. Ltd, Changsha, China
| | - YuFei Li
- Huazhi Biotech Co. Ltd, Changsha, China
| | - ChunNian Liang
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
| | - Ping Yan
- Key Laboratory of Yak Breeding Engineering Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou, China
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Park M, Shin JE, Yee J, Ahn YM, Joo EJ. Gene-gene interaction analysis for age at onset of bipolar disorder in a Korean population. J Affect Disord 2024; 361:97-103. [PMID: 38834091 DOI: 10.1016/j.jad.2024.05.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 05/24/2024] [Accepted: 05/28/2024] [Indexed: 06/06/2024]
Abstract
BACKGROUND Multiple genes might interact to determine the age at onset of bipolar disorder. We investigated gene-gene interactions related to age at onset of bipolar disorder in the Korean population, using genome-wide association study (GWAS) data. METHODS The study population consisted of 303 patients with bipolar disorder. First, the top 1000 significant single-nucleotide polymorphisms (SNPs) associated with age at onset of bipolar disorder were selected through single SNP analysis by simple linear regression. Subsequently, the QMDR method was used to find gene-gene interactions. RESULTS The best 10 SNPs from simple regression were located in chromosome 1, 2, 3, 10, 11, 14, 19, and 21. Only five SNPs were found in several genes, such as FOXN3, KIAA1217, OPCML, CAMSAP2, and PTPRS. On QMDR analyses, five pairs of SNPs showed significant interactions with a CVC exceeding 1/5 in a two-locus model. The best interaction was found for the pair of rs60830549 and rs12952733 (CVC = 1/5, P < 1E-07). In three-locus models, four combinations of SNPs showed significant associations with age at onset, with a CVC of >1/5. The best three-locus combination was rs60830549, rs12952733, and rs12952733 (CVC = 2/5, P < 1E-6). The SNPs showing significant interactions were located in the KIAA1217, RBFOX3, SDK2, CYP19A1, NTM, SMYD3, and RBFOX1 genes. CONCLUSIONS Our analysis confirmed genetic interactions influencing the age of onset for bipolar disorder and identified several potential candidate genes. Further exploration of the functions of these promising genes, which may have multiple roles within the neuronal network, is necessary.
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Affiliation(s)
- Mira Park
- Department of Preventive Medicine, School of Medicine, Eulji University, Daejeon, Republic of Korea
| | - Ji-Eun Shin
- Department of Biomedical Informatics, School of Medicine, Konyang University, Daejeon, Republic of Korea
| | - Jaeyong Yee
- Department of Physiology and Biophysics, School of Medicine, Eulji University, Daejeon, Republic of Korea
| | - Yong Min Ahn
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eun-Jeong Joo
- Department of Psychiatry, Uijeongbu Eulji Medical Center, Eulji University, Gyeonggi, Republic of Korea; Department of Neuropsychiatry, School of Medicine, Eulji University, Daejeon, Republic of Korea.
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Crayle JI, Rampersaud E, Myers JR, Wuu J, Taylor JP, Wu G, Benatar M, Bedlack RS. Genetic Associations With an Amyotrophic Lateral Sclerosis Reversal Phenotype. Neurology 2024; 103:e209696. [PMID: 39079071 PMCID: PMC11286288 DOI: 10.1212/wnl.0000000000209696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 05/29/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The term "ALS Reversal" describes patients who initially meet diagnostic criteria for amyotrophic lateral sclerosis (ALS) or had clinical features most consistent with progressive muscular atrophy (PMA) but subsequently demonstrated substantial and sustained clinical improvement. The objective of this genome-wide association study (GWAS) was to identify correlates of this unusual clinical phenotype. METHODS Participants were recruited from a previously created database of individuals with the ALS Reversal phenotype. Whole-genome sequencing (WGS) data were compared with ethnicity-matched patients with typically progressive ALS enrolled through the CReATe Consortium's Phenotype-Genotype-Biomarker (PGB) study. These results were replicated using an independent ethnically matched WGS data set from Target ALS. Significant results were further explored with available databases of genetic regulatory markers and expression quantitative trait loci (eQTL) analysis. RESULTS WGS from 22 participants with documented ALS Reversals was compared with the PGB primary cohort (n = 103) and the Target ALS validation cohort (n = 140). Two genetic loci met predefined criteria for statistical significance (two-sided permutation p ≤ 0.01) and remained plausible after fine-mapping. The lead single nucleotide variant (SNV) from the first locus was rs4242007 (primary cohort GWAS OR = 12.0, 95% CI 4.1 to 34.6), which is in an IGFBP7 intron and is in near-perfect linkage disequilibrium with a SNV in the IGFBP7 promoter region. Both SNVs are associated with decreased frontal cortex IGFBP7 expression in eQTL data sets. Notably, 3 Reversals, but none of the typically progressive individuals (n = 243), were homozygous for rs4242007. The importance of the second locus, located near GRIP1, is uncertain given the absence of an associated effect on nearby gene transcription. DISCUSSION We found a significant association between the Reversal phenotype and an IGFBP7 noncoding SNV that is associated with IGFBP7 expression. This is biologically relevant as IGFBP7 is a reported inhibitor of the insulin growth factor-1 (IGF-1) receptor that activates the possibly neuroprotective IGF-1 signaling pathway. This finding is limited by small sample size but suggests that there may be merit in further exploration of IGF-1 pathway signaling as a therapeutic mechanism for ALS. TRIAL REGISTRATION INFORMATION This study was registered with ClinicalTrials.gov (NCT03464903) on March 14, 2018. The first participant was enrolled on June 22, 2018.
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Affiliation(s)
- Jesse I Crayle
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
| | - Evadnie Rampersaud
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
| | - Jason R Myers
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
| | - Joanne Wuu
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
| | - J Paul Taylor
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
| | - Gang Wu
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
| | - Michael Benatar
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
| | - Richard S Bedlack
- From the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN
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Tenhunen S, Thomasen JR, Sørensen LP, Berg P, Kargo M. Genomic analysis of inbreeding and coancestry in Nordic Jersey and Holstein dairy cattle populations. J Dairy Sci 2024; 107:5897-5912. [PMID: 38608951 DOI: 10.3168/jds.2023-24553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/01/2024] [Indexed: 04/14/2024]
Abstract
In recent years, genomic selection (GS) has accelerated genetic gain in dairy cattle breeds worldwide. Despite the evident genetic progress, several dairy populations have also encountered challenges such as heightened inbreeding rates and reduced effective population sizes. The challenge has been to find a balance between achieving substantial genetic gain while managing genetic diversity within the population, thereby mitigating the negative effects of inbreeding depression. This study aims to elucidate the impact of GS on pedigree and genomic rates of inbreeding (ΔF) and coancestry (ΔC) in Nordic Jersey (NJ) and Holstein (NH) cattle populations. Furthermore, key genetic metrics, including the generation interval (L), effective population size (Ne), and future effective population size (FNe) were assessed between 2 time periods, before and after GS, and across distinct animal cohorts in both breeds: females, bulls, and approved semen-producing bulls (AI-sires). Analysis of ΔF and ΔC revealed distinct trends across the studied periods and animal groups. Notably, there was a consistent increase in yearly ΔF for most animal groups in both breeds. An exception was observed in NH AI-sires, which demonstrated a slight decrease in yearly ΔF. Moreover, NJ displayed minimal changes in yearly ΔC between the periods, whereas NH exhibited elevated ΔC values across all animal groups. Particularly striking was the substantial increase in yearly ΔC within the NH female population, surging from 0.02% to 0.39% between the periods. Implementation of GS resulted in a reduction of the generation interval across all animal cohorts in both NJ and NH breeds. However, the extent of reduction was more pronounced in males compared with females. This reduction in generation interval influenced generational changes in ΔF and ΔC. Bulls and AI-sires of both breeds exhibited reduced generational ΔF between periods, in contrast to females that demonstrated an opposing pattern. Between the periods, NJ maintained a relatively stable Ne (29.4 before and 30.3 after GS), whereas NH experienced a notable decline from 54.3 to 42.8. Female groups in both breeds displayed a negative Ne trend, whereas males demonstrated either neutral or positive Ne developments. Regarding FNe, NJ exhibited positive FNe development with an increase from 40.7 to 57.2. The opposite was observed in NH, where FNe decreased from 198.8 to 42.7. In summary, it was evident that the genomic methods could detect differences between the populations and changes in ΔF and ΔC more efficiently than pedigree methods. Implementation of GS yielded positive outcomes within the NJ population regarding the rate of coancestry but the opposite was observed with NH. Moreover, analysis of ΔC data hints at the potential to decrease future ΔF through informed mating strategies. Conversely, NH faces more pressing concerns, even though ΔF remains comparatively modest in contrast to what has been observed in other Holstein populations. These findings underscore the necessity of genomic control of inbreeding and coancestry with strategic changes in the Nordic breeding schemes for dairy to ensure long-term sustainability in the forthcoming years.
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Affiliation(s)
- S Tenhunen
- Aarhus University, Center for Quantitative Genetics and Genomics, 8000 Aarhus, Denmark; VikingGenetics, 8960 Randers SØ, Denmark.
| | | | | | - P Berg
- Norwegian University of Life Sciences, NMBU, 1433 Ås, Norway
| | - M Kargo
- Aarhus University, Center for Quantitative Genetics and Genomics, 8000 Aarhus, Denmark; VikingGenetics, 8960 Randers SØ, Denmark
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5
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Siew ED, Hellwege JN, Hung AM, Birkelo BC, Vincz AJ, Parr SK, Denton J, Greevy RA, Robinson-Cohen C, Liu H, Susztak K, Matheny ME, Velez Edwards DR. Genome-wide association study of hospitalized patients and acute kidney injury. Kidney Int 2024; 106:291-301. [PMID: 38797326 PMCID: PMC11260539 DOI: 10.1016/j.kint.2024.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 03/15/2024] [Accepted: 04/05/2024] [Indexed: 05/29/2024]
Abstract
Acute kidney injury (AKI) is a common and devastating complication of hospitalization. Here, we identified genetic loci associated with AKI in patients hospitalized between 2002-2019 in the Million Veteran Program and data from Vanderbilt University Medical Center's BioVU. AKI was defined as meeting a modified KDIGO Stage 1 or more for two or more consecutive days or kidney replacement therapy. Control individuals were required to have one or more qualifying hospitalizations without AKI and no evidence of AKI during any other observed hospitalizations. Genome-wide association studies (GWAS), stratified by race, adjusting for sex, age, baseline estimated glomerular filtration rate (eGFR), and the top ten principal components of ancestry were conducted. Results were meta-analyzed using fixed effects models. In total, there were 54,488 patients with AKI and 138,051 non-AKI individuals included in the study. Two novel loci reached genome-wide significance in the meta-analysis: rs11642015 near the FTO locus on chromosome 16 (obesity traits) (odds ratio 1.07 (95% confidence interval, 1.05-1.09)) and rs4859682 near the SHROOM3 locus on chromosome 4 (glomerular filtration barrier integrity) (odds ratio 0.95 (95% confidence interval, 0.93-0.96)). These loci colocalized with previous studies of kidney function, and genetic correlation indicated significant shared genetic architecture between AKI and eGFR. Notably, the association at the FTO locus was attenuated after adjustment for BMI and diabetes, suggesting that this association may be partially driven by obesity. Both FTO and the SHROOM3 loci showed nominal evidence of replication from diagnostic-code-based summary statistics from UK Biobank, FinnGen, and Biobank Japan. Thus, our large GWA meta-analysis found two loci significantly associated with AKI suggesting genetics may explain some risk for AKI.
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Affiliation(s)
- Edward D Siew
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA.
| | - Jacklyn N Hellwege
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adriana M Hung
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Bethany C Birkelo
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Andrew J Vincz
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Sharidan K Parr
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Jason Denton
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Cassianne Robinson-Cohen
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP-AKI), Nashville, Tennessee, USA
| | - Hongbo Liu
- Division of Renal Electrolyte and Hypertension, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA; Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Katalin Susztak
- Division of Renal Electrolyte and Hypertension, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA; Philadelphia Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Michael E Matheny
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Digna R Velez Edwards
- Tennessee Valley Health Systems, Nashville Veterans Affairs, Nashville, Tennessee, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Seersholm FV, Sjögren KG, Koelman J, Blank M, Svensson EM, Staring J, Fraser M, Pinotti T, McColl H, Gaunitz C, Ruiz-Bedoya T, Granehäll L, Villegas-Ramirez B, Fischer A, Price TD, Allentoft ME, Iversen AKN, Axelsson T, Ahlström T, Götherström A, Storå J, Kristiansen K, Willerslev E, Jakobsson M, Malmström H, Sikora M. Repeated plague infections across six generations of Neolithic Farmers. Nature 2024; 632:114-121. [PMID: 38987589 DOI: 10.1038/s41586-024-07651-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 06/03/2024] [Indexed: 07/12/2024]
Abstract
In the period between 5,300 and 4,900 calibrated years before present (cal. BP), populations across large parts of Europe underwent a period of demographic decline1,2. However, the cause of this so-called Neolithic decline is still debated. Some argue for an agricultural crisis resulting in the decline3, others for the spread of an early form of plague4. Here we use population-scale ancient genomics to infer ancestry, social structure and pathogen infection in 108 Scandinavian Neolithic individuals from eight megalithic graves and a stone cist. We find that the Neolithic plague was widespread, detected in at least 17% of the sampled population and across large geographical distances. We demonstrate that the disease spread within the Neolithic community in three distinct infection events within a period of around 120 years. Variant graph-based pan-genomics shows that the Neolithic plague genomes retained ancestral genomic variation present in Yersinia pseudotuberculosis, including virulence factors associated with disease outcomes. In addition, we reconstruct four multigeneration pedigrees, the largest of which consists of 38 individuals spanning six generations, showing a patrilineal social organization. Lastly, we document direct genomic evidence for Neolithic female exogamy in a woman buried in a different megalithic tomb than her brothers. Taken together, our findings provide a detailed reconstruction of plague spread within a large patrilineal kinship group and identify multiple plague infections in a population dated to the beginning of the Neolithic decline.
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Affiliation(s)
- Frederik Valeur Seersholm
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
| | - Karl-Göran Sjögren
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Julia Koelman
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Malou Blank
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Emma M Svensson
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | | | - Magdalena Fraser
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | - Thomaz Pinotti
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Laboratório de Biodiversidade e Evolução Molecular (LBEM), Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Hugh McColl
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Charleen Gaunitz
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Tatiana Ruiz-Bedoya
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada
| | - Lena Granehäll
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- Institute for Mummy Studies Eurac Research, Bolzano, Italy
| | | | | | - T Douglas Price
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Morten E Allentoft
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia
| | - Astrid K N Iversen
- Nuffield Department of Clinical Neurosciences, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Tony Axelsson
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Torbjörn Ahlström
- Department of Archaeology and Ancient History, Lund University, Lund, Sweden
| | - Anders Götherström
- Centre for Palaeogenetics, Stockholm University and the Swedish Museum of Natural History, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Jan Storå
- Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Kristian Kristiansen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Historical Studies, University of Gothenburg, Gothenburg, Sweden
| | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
| | - Helena Malmström
- Human Evolution, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
- Palaeo-Research Institute, University of Johannesburg, Johannesburg, South Africa
| | - Martin Sikora
- Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
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Bourret A, Leung C, Puncher GN, Le Corre N, Deslauriers D, Skanes K, Bourdages H, Cassista-Da Ros M, Walkusz W, Jeffery NW, Stanley RRE, Parent GJ. Diving into broad-scale and high-resolution population genomics to decipher drivers of structure and climatic vulnerability in a marine invertebrate. Mol Ecol 2024; 33:e17448. [PMID: 38946210 DOI: 10.1111/mec.17448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/11/2024] [Accepted: 06/19/2024] [Indexed: 07/02/2024]
Abstract
Species with widespread distributions play a crucial role in our understanding of climate change impacts on population structure. In marine species, population structure is often governed by both high connectivity potential and selection across strong environmental gradients. Despite the complexity of factors influencing marine populations, studying species with broad distribution can provide valuable insights into the relative importance of these factors and the consequences of climate-induced alterations across environmental gradients. We used the northern shrimp Pandalus borealis and its wide latitudinal distribution to identify current drivers of population structure and predict the species' vulnerability to climate change. A total of 1514 individuals sampled across 24° latitude were genotyped at high geographic (54 stations) and genetic (14,331 SNPs) resolutions to assess genetic variation and environmental correlations. Four populations were identified in addition to finer substructure associated with local adaptation. Geographic patterns of neutral population structure reflected predominant oceanographic currents, while a significant proportion of the genetic variation was associated with gradients in salinity and temperature. Adaptive landscapes generated using climate projections suggest a larger genomic offset in the southern extent of the P. borealis range, where shrimp had the largest adaptive standing genetic variation. Our genomic results combined with recent observations point to further deterioration in southern regions and an impending vulnerable status in the regions at higher latitudes for P. borealis. They also provide rare insights into the drivers of population structure and climatic vulnerability of a widespread meroplanktonic species, which is crucial to understanding future challenges associated with invertebrates essential to ecosystem functioning.
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Affiliation(s)
- Audrey Bourret
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
| | - Christelle Leung
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
| | - Gregory N Puncher
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Nicolas Le Corre
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John's, Newfoundland and Labrador, Canada
| | - David Deslauriers
- Institut des Sciences de la Mer de Rimouski, Université du Québec à Rimouski, Rimouski, Quebec, Canada
| | - Katherine Skanes
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John's, Newfoundland and Labrador, Canada
| | - Hugo Bourdages
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
| | - Manon Cassista-Da Ros
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Wojciech Walkusz
- Freshwater Institute, Fisheries and Oceans Canada, Winnipeg, Manitoba, Canada
| | - Nicholas W Jeffery
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Ryan R E Stanley
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - Geneviève J Parent
- Maurice Lamontagne Institute, Fisheries and Oceans Canada, Mont-Joli, Quebec, Canada
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8
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Blankers T, Shaw KL. The biogeographic and evolutionary processes shaping population divergence in Laupala. Mol Ecol 2024; 33:e17444. [PMID: 38984705 DOI: 10.1111/mec.17444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 05/21/2024] [Accepted: 06/14/2024] [Indexed: 07/11/2024]
Abstract
Speciation generates biodiversity and the mechanisms involved are thought to vary across the tree of life and across environments. For example, well-studied adaptive radiations are thought to be fuelled by divergent ecological selection, but additionally are influenced heavily by biogeographic, genomic and demographic factors. Mechanisms of non-adaptive radiations, producing ecologically cryptic taxa, have been less well-studied but should likewise be influenced by these latter factors. Comparing among contexts can help pinpoint universal mechanisms and outcomes, especially if we integrate biogeographic, ecological and evolutionary processes. We investigate population divergence in the swordtail cricket Laupala cerasina, a wide-spread endemic on Hawai'i Island and one of 38 ecologically cryptic Laupala species. The nine sampled populations show striking population genetic structure at small spatio-temporal scales. The rapid differentiation among populations and species of Laupala shows that neither a specific geographical context nor ecological opportunity are pre-requisites for rapid divergence. Spatio-temporal patterns in population divergence, population size change, and gene flow are aligned with the chronosequence of the four volcanoes on which L. cerasina occurs and reveal the composite effects of geological dynamics and Quaternary climate change on population dynamics. Spatio-temporal patterns in genetic variation along the genome reveal the interplay of genetic and genomic architecture in shaping population divergence. In early phases of divergence, we find elevated differentiation in genomic regions harbouring mating song loci. In later stages of divergence, we find a signature of linked selection that interacts with recombination rate variation. Comparing our findings with recent work on complementary systems supports the conclusion that mostly universal factors influence the speciation process.
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Affiliation(s)
- Thomas Blankers
- Department of Neurobiology and Behavior, Cornell University, Ithaca, New York, USA
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Kerry L Shaw
- Department of Neurobiology and Behavior, Cornell University, Ithaca, New York, USA
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9
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Skytte Af Sätra J, Garkava-Gustavsson L, Ingvarsson PK. Why we thrive beneath a northern sky - genomic signals of selection in apple for adaptation to northern Sweden. Heredity (Edinb) 2024; 133:67-77. [PMID: 38834867 PMCID: PMC11286948 DOI: 10.1038/s41437-024-00693-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 05/16/2024] [Accepted: 05/16/2024] [Indexed: 06/06/2024] Open
Abstract
Good understanding of the genomic regions underlying adaptation of apple to boreal climates is needed to facilitate efficient breeding of locally adapted apple cultivars. Proper infrastructure for phenotyping and evaluation is essential for identification of traits responsible for adaptation, and dissection of their genetic composition. However, such infrastructure is costly and currently not available for the boreal zone of northern Sweden. Therefore, we used historical pomological data on climate adaptation of 59 apple cultivars and whole genome sequencing to identify genomic regions that have undergone historical selection among apple cultivars recommended for cultivation in northern Sweden. We found the apple collection to be composed of two ancestral groups that are largely concordant with the grouping into 'hardy' and 'not hardy' cultivars based on the pomological literature. Using a number of genome-wide scans for signals of selection, we obtained strong evidence of positive selection at a genomic region around 29 MbHFTH1 of chromosome 1 among apple cultivars in the 'hardy' group. Using phased genotypic data from the 20 K apple Infinium® SNP array, we identified haplotypes associated with the two cultivar groups and traced transmission of these haplotypes through the pedigrees of some apple cultivars. This demonstrates that historical data from pomological literature can be analyzed by population genomic approaches as a step towards revealing the genomic control of a key property for a horticultural niche market. Such knowledge is needed to facilitate efficient breeding strategies for development of locally adapted apple cultivars in the future. The current study illustrates the response to a very strong selective pressure imposed on tree crops by climatic factors, and the importance of genetic research on this topic and feasibility of breeding efforts in the light of the ongoing climate change.
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Affiliation(s)
- J Skytte Af Sätra
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden.
| | - L Garkava-Gustavsson
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden
| | - P K Ingvarsson
- Department of Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden
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10
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Garzón Rodríguez N, Briceño-Balcázar I, Nicolini H, Martínez-Magaña JJ, Genis-Mendoza AD, Flores-Lázaro JC, Villatoro Velázquez JA, Bustos Gamiño M, Medina-Mora ME, Quiroz-Padilla MF. Exploring the relationship between admixture and genetic susceptibility to attention deficit hyperactivity disorder in two Latin American cohorts. J Hum Genet 2024; 69:373-380. [PMID: 38714835 PMCID: PMC11269173 DOI: 10.1038/s10038-024-01246-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 07/13/2024]
Abstract
Contemporary research on the genomics of Attention Deficit Hyperactivity Disorder (ADHD) often underrepresents admixed populations of diverse genomic ancestries, such as Latin Americans. This study explores the relationship between admixture and genetic associations for ADHD in Colombian and Mexican cohorts. Some 546 participants in two groups, ADHD and Control, were genotyped with Infinium PsychArray®. Global ancestry levels were estimated using overall admixture proportions and principal component analysis, while local ancestry was determined using a method to estimate ancestral components along the genome. Genome-wide association analysis (GWAS) was conducted to identify significant associations. Differences between Colombia and Mexico were evaluated using appropriate statistical tests. 354 Single-nucleotide polymorphisms (SNPs) and Single-nucleotide variants (SNVs) related to some genes and intergenic regions exhibited suggestive significance (p-value < 5*10e-5) in the GWAS. None of the variants revealed genome-wide significance (p-value < 5*10e-8). The study identified a significant relationship between risk SNPs and the European component of admixture, notably observed in the LOC105379109 gene. Despite differences in risk association loci, such as FOXP2, our findings suggest a possible homogeneity in genetic variation's impact on ADHD between Colombian and Mexican populations. Current reference datasets for ADHD predominantly consist of samples with high European ancestry, underscoring the need for further research to enhance the representation of reference populations and improve the identification of ADHD risk traits in Latin Americans.
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Affiliation(s)
- Nicolás Garzón Rodríguez
- Laboratorio de Bases Biológicas del Comportamiento, Facultad de Psicología, Universidad de La Sabana, Chía, Colombia
- Doctorado en Biociencias, Facultad de Ingeniería, Universidad de La Sabana, Chía, Colombia
| | | | - Humberto Nicolini
- Laboratorio de Enfermedades Psiquiátricas, Neurodegenerativas y Adicciones, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, México
| | - José Jaime Martínez-Magaña
- Laboratorio de Enfermedades Psiquiátricas, Neurodegenerativas y Adicciones, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, México
| | - Alma D Genis-Mendoza
- Laboratorio de Enfermedades Psiquiátricas, Neurodegenerativas y Adicciones, Instituto Nacional de Medicina Genómica, Secretaría de Salud, Mexico City, México
- Hospital Psiquiátrico Infantil Dr Juan N. Navarro, Mexico City, México
| | - Julio C Flores-Lázaro
- Facultad de Psicología, Universidad Nacional Autónoma de México - UNAM, Mexico City, México
| | | | - Marycarmen Bustos Gamiño
- Instituto Nacional de Psiquiatría Ramon de la Fuente Muñiz, Secretaría de Salud, Mexico City, México
| | - Maria Elena Medina-Mora
- Facultad de Psicología, Universidad Nacional Autónoma de México - UNAM, Mexico City, México
- Instituto Nacional de Psiquiatría Ramon de la Fuente Muñiz, Secretaría de Salud, Mexico City, México
| | - Maria Fernanda Quiroz-Padilla
- Laboratorio de Bases Biológicas del Comportamiento, Facultad de Psicología, Universidad de La Sabana, Chía, Colombia.
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11
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Wang X, Reid K, Chen Y, Dudgeon D, Merilä J. Ecological genetics of isolated loach populations indicate compromised adaptive potential. Heredity (Edinb) 2024; 133:88-98. [PMID: 38961235 PMCID: PMC11286901 DOI: 10.1038/s41437-024-00695-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 07/05/2024] Open
Abstract
Many endangered species live in fragmented and isolated populations with low genetic variability, signs of inbreeding, and small effective population sizes - all features elevating their extinction risk. The flat-headed loach (Oreonectes platycephalus), a small noemacheilid fish, is widely across southern China, but only in the headwaters of hillstreams; as a result, they are spatially isolated from conspecific populations. We surveyed single nucleotide polymorphisms in 16 Hong Kong populations of O. platycephalus to determine whether loach populations from different streams were genetically isolated from each other, showed low levels of genetic diversity, signs of inbreeding, and had small contemporary effective population sizes. Estimates of average observed heterozygosity (HO = 0.0473), average weighted nucleotide diversity (πw = 0.0546) and contemporary effective population sizes (Ne = 10.2 ~ 129.8) were very low, and several populations showed clear signs of inbreeding as judged from relatedness estimates. The degree of genetic differentiation among populations was very high (average FST = 0.668), even over short geographic distances (<1.5 km), with clear patterns of isolation by distance. These results suggest that Hong Kong populations of O. platycephalus have experienced strong genetic drift and loss of genetic variability because sea-level rise after the last glaciation reduced connectedness among paleodrainages, isolating populations in headwaters. All this, together with the fact that the levels of genetic diversity and contemporary effective population sizes within O. platycephalus populations are lower than most other freshwater fishes, suggests that they face high local extinction risk and have limited capacity for future adaptation.
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Affiliation(s)
- Xi Wang
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China.
| | - Kerry Reid
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Ying Chen
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - David Dudgeon
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Juha Merilä
- Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China.
- Ecological Genetics Research Unit, Organismal and Evolutionary Biology Programme, University of Helsinki, FI-00014 University of Helsinki, Helsinki, Finland.
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12
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Wang C, Wang T, Kiryluk K, Wei Y, Aschard H, Ionita-Laza I. Genome-wide discovery for biomarkers using quantile regression at biobank scale. Nat Commun 2024; 15:6460. [PMID: 39085219 DOI: 10.1038/s41467-024-50726-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 07/18/2024] [Indexed: 08/02/2024] Open
Abstract
Genome-wide association studies (GWAS) for biomarkers important for clinical phenotypes can lead to clinically relevant discoveries. Conventional GWAS for quantitative traits are based on simplified regression models modeling the conditional mean of a phenotype as a linear function of genotype. We draw attention here to an alternative, lesser known approach, namely quantile regression that naturally extends linear regression to the analysis of the entire conditional distribution of a phenotype of interest. Quantile regression can be applied efficiently at biobank scale, while having some unique advantages such as (1) identifying variants with heterogeneous effects across quantiles of the phenotype distribution; (2) accommodating a wide range of phenotype distributions including non-normal distributions, with invariance of results to trait transformations; and (3) providing more detailed information about genotype-phenotype associations even for those associations identified by conventional GWAS. We show in simulations that quantile regression is powerful across both homogeneous and various heterogeneous models. Applications to 39 quantitative traits in the UK Biobank demonstrate that quantile regression can be a helpful complement to linear regression in GWAS and can identify variants with larger effects on high-risk subgroups of individuals but with lower or no contribution overall.
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Affiliation(s)
- Chen Wang
- Department of Biostatistics, Columbia University, New York, NY, USA
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | | | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Ying Wei
- Department of Biostatistics, Columbia University, New York, NY, USA
| | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Université Paris Cité, Paris, France
| | - Iuliana Ionita-Laza
- Department of Biostatistics, Columbia University, New York, NY, USA.
- Department of Statistics, Lund University, Lund, Sweden.
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13
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Akçimen F, Chia R, Saez-Atienzar S, Ruffo P, Rasheed M, Ross JP, Liao C, Ray A, Dion PA, Scholz SW, Rouleau GA, Traynor BJ. Genomic Analysis Identifies Risk Factors in Restless Legs Syndrome. Ann Neurol 2024. [PMID: 39078117 DOI: 10.1002/ana.27040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 07/31/2024]
Abstract
OBJECTIVE Restless legs syndrome (RLS) is a neurological condition that causes uncomfortable sensations in the legs and an irresistible urge to move them, typically during periods of rest. The genetic basis and pathophysiology of RLS are incompletely understood. We sought to identify additional novel genetic risk factors associated with RLS susceptibility. METHODS We performed a whole-genome sequencing and genome-wide association meta-analysis of RLS cases (n = 9,851) and controls (n = 38,957) in 3 population-based biobanks (All of Us, Canadian Longitudinal Study on Aging, and CARTaGENE). RESULTS Genome-wide association analysis identified 9 independent risk loci, of which 8 had been previously reported, and 1 was a novel risk locus (LMX1B, rs35196838, OR 1.14, 95% CI 1.09-1.19, p value = 2.2 × 10-9). Furthermore, a transcriptome-wide association study also identified GLO1 and a previously unreported gene, ELFN1. A genetic correlation analysis revealed significant common variant overlaps between RLS and neuroticism (rg = 0.40, se = 0.08, p value = 5.4 × 10-7), depression (rg = 0.35, se = 0.06, p value = 2.17 × 10-8), and intelligence (rg = -0.20, se = 0.06, p value = 4.0 × 10-4). INTERPRETATION Our study expands the understanding of the genetic architecture of RLS, and highlights the contributions of common variants to this prevalent neurological disorder. ANN NEUROL 2024.
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Affiliation(s)
- Fulya Akçimen
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Ruth Chia
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Sara Saez-Atienzar
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Paola Ruffo
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Memoona Rasheed
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Jay P Ross
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada
| | - Calwing Liao
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Anindita Ray
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Patrick A Dion
- Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada
| | - Sonja W Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, Maryland, USA
| | - Guy A Rouleau
- Department of Human Genetics, McGill University, Montréal, Quebec, Canada
- Montreal Neurological Institute-Hospital, McGill University, Montréal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada
| | - Bryan J Traynor
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, Maryland, USA
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14
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Serradell JM, Lorenzo-Salazar JM, Flores C, Lao O, Comas D. Modelling the demographic history of human North African genomes points to a recent soft split divergence between populations. Genome Biol 2024; 25:201. [PMID: 39080715 PMCID: PMC11290046 DOI: 10.1186/s13059-024-03341-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 07/22/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND North African human populations present a complex demographic scenario due to the presence of an autochthonous genetic component and population substructure, plus extensive gene flow from the Middle East, Europe, and sub-Saharan Africa. RESULTS We conducted a comprehensive analysis of 364 genomes to construct detailed demographic models for the North African region, encompassing its two primary ethnic groups, the Arab and Amazigh populations. This was achieved through an Approximate Bayesian Computation with Deep Learning (ABC-DL) framework and a novel algorithm called Genetic Programming for Population Genetics (GP4PG). This innovative approach enabled us to effectively model intricate demographic scenarios, utilizing a subset of 16 whole genomes at > 30X coverage. The demographic model suggested by GP4PG exhibited a closer alignment with the observed data compared to the ABC-DL model. Both point to a back-to-Africa origin of North African individuals and a close relationship with Eurasian populations. Results support different origins for Amazigh and Arab populations, with Amazigh populations originating back in Epipaleolithic times, while GP4PG supports Arabization as the main source of Middle Eastern ancestry. The GP4PG model includes population substructure in surrounding populations (sub-Saharan Africa and Middle East) with continuous decaying gene flow after population split. Contrary to ABC-DL, the best GP4PG model does not require pulses of admixture from surrounding populations into North Africa pointing to soft splits as drivers of divergence in North Africa. CONCLUSIONS We have built a demographic model on North Africa that points to a back-to-Africa expansion and a differential origin between Arab and Amazigh populations.
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Affiliation(s)
- Jose M Serradell
- Departament de Medicina i Ciències de la Vida, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Carrer del Doctor Aiguader 88, Barcelona, 08003, Spain
| | - Jose M Lorenzo-Salazar
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona s/n, Santa Cruz de Tenerife, 38600, Spain
| | - Carlos Flores
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Granadilla de Abona s/n, Santa Cruz de Tenerife, 38600, Spain
- Plataforma Genómica de Alto Rendimiento para el Estudio de la Biodiversidad, Instituto de Productos Naturales y Agrobiología (IPNA), Consejo Superior de Investigaciones Científicas, San Cristóbal de La Laguna, Santa Cruz de Tenerife, 38206, Spain
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Carretera del Rosario 145, Santa Cruz de Tenerife, 38010, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Av. de Monforte de Lemos, 3-5, Madrid, 28029, Spain
- Facultad de Ciencias de la Salud, Universidad Fernando de Pessoa Canarias, Calle de La Juventud S/N, Santa María de Guía, Las Palmas de Gran Canaria, 35450, Spain
| | - Oscar Lao
- Departament de Medicina i Ciències de la Vida, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Carrer del Doctor Aiguader 88, Barcelona, 08003, Spain.
| | - David Comas
- Departament de Medicina i Ciències de la Vida, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Carrer del Doctor Aiguader 88, Barcelona, 08003, Spain.
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15
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Heyne HO, Pajuste FD, Wanner J, Daniel Onwuchekwa JI, Mägi R, Palotie A, Kälviainen R, Daly MJ. Polygenic risk scores as a marker for epilepsy risk across lifetime and after unspecified seizure events. Nat Commun 2024; 15:6277. [PMID: 39054313 PMCID: PMC11272783 DOI: 10.1038/s41467-024-50295-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 07/04/2024] [Indexed: 07/27/2024] Open
Abstract
A diagnosis of epilepsy has significant consequences for an individual but is often challenging in clinical practice. Novel biomarkers are thus greatly needed. Here, we investigated how common genetic factors (epilepsy polygenic risk scores, [PRSs]) influence epilepsy risk in detailed longitudinal electronic health records (EHRs) of > 700k Finns and Estonians. We found that a high genetic generalized epilepsy PRS (PRSGGE) increased risk for genetic generalized epilepsy (GGE) (hazard ratio [HR] 1.73 per PRSGGE standard deviation [SD]) across lifetime and within 10 years after an unspecified seizure event. The effect of PRSGGE was significantly larger on idiopathic generalized epilepsies, in females and for earlier epilepsy onset. Analogously, we found significant but more modest focal epilepsy PRS burden associated with non-acquired focal epilepsy (NAFE). Here, we outline the potential of epilepsy specific PRSs to serve as biomarkers after a first seizure event.
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Affiliation(s)
- Henrike O Heyne
- Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
- Hasso Plattner Institute, Mount Sinai School of Medicine, New York, NY, US.
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
- Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Fanny-Dhelia Pajuste
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Julian Wanner
- Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Jennifer I Daniel Onwuchekwa
- Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany
- Faculty of Life Sciences, University of Siegen, Siegen, Germany
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Reetta Kälviainen
- Kuopio Epilepsy Center, Neurocenter, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Mark J Daly
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
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Brejon Lamartinière E, Tremble K, Dentinger BTM, Dasmahapatra KK, Hoffman JI. Runs of homozygosity reveal contrasting histories of inbreeding across global lineages of the edible porcini mushroom, Boletus edulis. Mol Ecol 2024:e17470. [PMID: 39034770 DOI: 10.1111/mec.17470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/26/2024] [Accepted: 07/03/2024] [Indexed: 07/23/2024]
Abstract
Inbreeding, the mating of individuals that are related through common ancestry, is of central importance in evolutionary and conservation biology due to its impacts on individual fitness and population dynamics. However, while advanced genomic approaches have revolutionised the study of inbreeding in animals, genomic studies of inbreeding are rare in plants and lacking in fungi. We investigated global patterns of inbreeding in the prized edible porcini mushroom Boletus edulis using 225 whole genomes from seven lineages distributed across the northern hemisphere. Genomic inbreeding was quantified using runs of homozygosity (ROHs). We found appreciable variation both among and within lineages, with some individuals having over 20% of their genomes in ROHs. Much of this variation could be explained by a combination of elevation and latitude, and to a lesser extent by predicted habitat suitability during the last glacial maximum. In line with this, the majority of ROHs were short, reflecting ancient common ancestry dating back approximately 200-1700 generations ago, while longer ROHs indicative of recent common ancestry (less than approximately 50 generations ago) were infrequent. Our study reveals the inbreeding legacy of major climatic events in a widely distributed forest mutualist, aligning with prevailing theories and empirical studies of the impacts of historical glaciation events on the dominant forest tree species of the northern hemisphere.
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Affiliation(s)
- Etienne Brejon Lamartinière
- Department of Evolutionary Population Genetics, Faculty of Biology, Bielefeld University, Bielefeld, Germany
- Department of Animal Behaviour, Faculty of Biology, Bielefeld University, Bielefeld, Germany
| | - Keaton Tremble
- Department of Biology, Duke University, Durham, North Carolina, USA
| | - Bryn T M Dentinger
- School of Biological Sciences, University of Utah, Salt Lake City, Utah, USA
- Natural History Museum of Utah, Salt Lake City, Utah, USA
| | | | - Joseph I Hoffman
- Department of Evolutionary Population Genetics, Faculty of Biology, Bielefeld University, Bielefeld, Germany
- Department of Animal Behaviour, Faculty of Biology, Bielefeld University, Bielefeld, Germany
- Center for Biotechnology (CeBiTec), Faculty of Biology, Bielefeld University, Bielefeld, Germany
- Joint Institute for Individualisation in a Changing Environment (JICE), Bielefeld University and University of Münster, Bielefeld, Münster, Germany
- British Antarctic Survey, Cambridge, UK
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17
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Tijjani A, Kambal S, Terefe E, Njeru R, Ogugo M, Ndambuki G, Missohou A, Traore A, Salim B, Ezeasor C, D'andre H C, Obishakin ET, Diallo B, Talaki E, Abdoukarim IY, Nash O, Osei-Amponsah R, Ravaorimanana S, Issa Y, Zegeye T, Mukasa C, Tiambo C, Prendergast JGD, Kemp SJ, Han J, Marshall K, Hanotte O. Genomic Reference Resource for African Cattle: Genome Sequences and High-Density Array Variants. Sci Data 2024; 11:801. [PMID: 39030190 PMCID: PMC11271538 DOI: 10.1038/s41597-024-03589-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 07/01/2024] [Indexed: 07/21/2024] Open
Abstract
The diversity in genome resources is fundamental to designing genomic strategies for local breed improvement and utilisation. These resources also support gene discovery and enhance our understanding of the mechanisms of resilience with applications beyond local breeds. Here, we report the genome sequences of 555 cattle (208 of which comprise new data) and high-density (HD) array genotyping of 1,082 samples (537 new samples) from indigenous African cattle populations. The new sequences have an average genome coverage of ~30X, three times higher than the average (~10X) of the over 300 sequences already in the public domain. Following variant quality checks, we identified approximately 32.3 million sequence variants and 661,943 HD autosomal variants mapped to the Bos taurus reference genome (ARS-UCD1.2). The new datasets were generated as part of the Centre for Tropical Livestock Genetics and Health (CTLGH) Genomic Reference Resource for African Cattle (GRRFAC) initiative, which aspires to facilitate the generation of this livestock resource and hopes for its utilisation for complete indigenous breed characterisation and sustainable global livestock improvement.
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Affiliation(s)
- Abdulfatai Tijjani
- Centre for Tropical Livestock Genetics and Health (CTLGH), ILRI Ethiopia, P.O. Box 5689, Addis Ababa, Ethiopia.
- The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine, 04609, USA.
| | - Sumaya Kambal
- Centre for Tropical Livestock Genetics and Health (CTLGH), ILRI Ethiopia, P.O. Box 5689, Addis Ababa, Ethiopia
- Department of Genetics and Animal Breeding, Faculty of Animal Production, University of Khartoum, Khartoum, Sudan
| | - Endashaw Terefe
- Department of Animal Science, College of Agriculture and Environmental Sciences, Arsi University, Asella, Ethiopia
| | - Regina Njeru
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Moses Ogugo
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Gideon Ndambuki
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Ayao Missohou
- Ecole Inter-Etats des Sciences et Médecine Vétérinaires (EISMV), Dakar, Sénégal
| | - Amadou Traore
- Institut de l'Environnement et de Recherches Agricoles (INERA), Ouagadougou, Burkina Faso
| | - Bashir Salim
- Faculty of Veterinary Medicine, University of Khartoum, Khartoum, Sudan
- Camel Research Center, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Chukwunonso Ezeasor
- Department of Veterinary Pathology and Microbiology, University of Nigeria, Nsukka, Enugu State, Nigeria
| | - Claire D'andre H
- Rwanda Agricultural and Animal Resources Development Board, Kigali, Rwanda
| | - Emmanuel T Obishakin
- Biotechnology Division, National Veterinary Research Institute, Vom, Plateau State, Nigeria
| | | | - Essodina Talaki
- École Supérieure d'Agronomie de l'Université de Lomé, Lomé, Togo
| | - Issaka Y Abdoukarim
- Laboratoire de Biotechnologie Animale et de Technologie des Viandes, Abomey-Calavi, Benin
| | - Oyekanmi Nash
- Centre for Genomics Research and Innovation, NABDA, Abuja, Nigeria
| | - Richard Osei-Amponsah
- Department of Animal Science, College of Basic and Applied Sciences, University of Ghana, Legon, Ghana
| | | | - Youssouf Issa
- Institut National supérieur des Sciences et Techniques d'Abéché-INSTA/Tchad, Abéché, Chad
| | - Tsadkan Zegeye
- Mekelle Agricultural Research Center, Tigray Agricultural Research Institute, Mekelle, Ethiopia
| | - Christopher Mukasa
- National Animal Genetic Resources Centre and Data Bank (NAGRC&DB), Entebbe, Uganda
| | - Christian Tiambo
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
| | - James G D Prendergast
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK
| | - Stephen J Kemp
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- Yazhouwan National Laboratory, No. 8 Huanjin Road, Yazhou, Sanya, 572024, Hainan, P. R. China
| | - Karen Marshall
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya.
| | - Olivier Hanotte
- Centre for Tropical Livestock Genetics and Health (CTLGH), ILRI Ethiopia, P.O. Box 5689, Addis Ababa, Ethiopia.
- Cells, Organism and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, UK.
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18
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Orimo K, Mitsui J, Matsukawa T, Tanaka M, Nomoto J, Ishiura H, Omae Y, Kawai Y, Tokunaga K, Toda T, Tsuji S. Association study of GBA1 variants with MSA based on comprehensive sequence analysis -Pitfalls in short-read sequence analysis depending on the human reference genome. J Hum Genet 2024:10.1038/s10038-024-01266-1. [PMID: 39020124 DOI: 10.1038/s10038-024-01266-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/22/2024] [Accepted: 06/07/2024] [Indexed: 07/19/2024]
Abstract
Multiple system atrophy (MSA) is a neurodegenerative disorder characterized by various combinations of autonomic failure, parkinsonism, and cerebellar ataxia. To elucidate variants associated with MSA, we have been conducting short-read-based whole-genome sequence analysis. In the process of the association studies, we initially focused on GBA1, a previously proposed susceptibility gene for MSA, to evaluate whether GBA1 variants can be efficiently identified despite its extraordinarily high homology with its pseudogene, GBA1LP. To accomplish this, we conducted a short-read whole-genome sequence analysis with alignment to GRCh38 as well as Sanger sequence analysis and compared the results. We identified five variants with inconsistencies between the two pipelines, of which three variants (p.L483P, p.A495P-p.V499V, p.L483_M489delinsW) were the results of misalignment due to minor alleles in GBA1P1 registered in GRCh38. The miscalling events in these variants were resolved by alignment to GRCh37 as the reference genome, where the major alleles are registered. In addition, a structural variant was not properly identified either by short-read or by Sanger sequence analyses. Having accomplished correct variant calling, we identified three variants pathogenic for Gaucher disease (p.S310G, p.L483P, and p.L483_M489delinsW). Of these variants, the allele frequency of p.L483P (0.003) in the MSA cases was higher than that (0.0011) in controls. The meta-analysis incorporating a previous report demonstrated a significant association of p.L483P with MSA with an odds ratio of 2.92 (95% CI; 1.08 - 7.90, p = 0.0353).
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Affiliation(s)
- Kenta Orimo
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Jun Mitsui
- Department of Precision Medicine Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Takashi Matsukawa
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Masaki Tanaka
- Institute of Medical Genomics, International University of Health and Welfare, 4-3, Kozunomori, Narita-shi, Chiba, 286-8686, Japan
| | - Junko Nomoto
- Institute of Medical Genomics, International University of Health and Welfare, 4-3, Kozunomori, Narita-shi, Chiba, 286-8686, Japan
| | - Hiroyuki Ishiura
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Neurology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1, Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Yosuke Omae
- Genome Medical Science Project, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Yosuke Kawai
- Genome Medical Science Project, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Katsushi Tokunaga
- Genome Medical Science Project, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Tatsushi Toda
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Shoji Tsuji
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
- Institute of Medical Genomics, International University of Health and Welfare, 4-3, Kozunomori, Narita-shi, Chiba, 286-8686, Japan.
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19
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Hughes AM, Torvik FA, van Bergen E, Hannigan LJ, Corfield EC, Andreassen OA, Ystrom E, Ask H, Smith GD, Davies NM, Havdahl A. Parental education and children's depression, anxiety, and ADHD traits, a within-family study in MoBa. NPJ SCIENCE OF LEARNING 2024; 9:46. [PMID: 39025869 PMCID: PMC11258307 DOI: 10.1038/s41539-024-00260-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 07/05/2024] [Indexed: 07/20/2024]
Abstract
Children born to parents with fewer years of education are more likely to have depression, anxiety, and attention-deficit hyperactivity disorder (ADHD), but it is unclear to what extent these associations are causal. We estimated the effect of parents' educational attainment on children's depressive, anxiety, and ADHD traits at age 8 years, in a sample of 40,879 Norwegian children born in 1998-2009 and their parents. We used within-family Mendelian randomization, which employs genetic variants as instrumental variables, and controlled for direct genetic effects by adjusting for children's polygenic indexes. We found little evidence that mothers' or fathers' educational attainment independently affected children's depressive, anxiety, or ADHD traits. However, children's own polygenic scores for educational attainment were independently and negatively associated with these traits. Results suggest that differences in these traits according to parents' education may reflect direct genetic effects more than genetic nurture. Consequences of social disadvantage for children's mental health may however be more visible in samples with more socioeconomic variation, or contexts with larger socioeconomic disparities than present-day Norway. Further research is required in populations with more educational and economic inequality and in other age groups.
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Affiliation(s)
- Amanda M Hughes
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK.
| | - Fartein Ask Torvik
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Elsje van Bergen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Laurie J Hannigan
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Elizabeth C Corfield
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, 0407, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental disorders, University of Oslo, Oslo, Norway
| | - Eivind Ystrom
- Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Helga Ask
- Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
| | - Neil M Davies
- Division of Psychiatry, University College London, London, UK
- Department of Statistical Science, University College London, London, UK
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Alexandra Havdahl
- MRC Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, UK
- Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- PsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
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20
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Biddanda A, Bandyopadhyay E, de la Fuente Castro C, Witonsky D, Urban Aragon JA, Pasupuleti N, Moots HM, Fonseca R, Freilich S, Stanisavic J, Willis T, Menon A, Mustak MS, Kodira CD, Naren AP, Sikdar M, Rai N, Raghavan M. Distinct positions of genetic and oral histories: Perspectives from India. HGG ADVANCES 2024; 5:100305. [PMID: 38720459 PMCID: PMC11153255 DOI: 10.1016/j.xhgg.2024.100305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 05/04/2024] [Accepted: 05/04/2024] [Indexed: 05/16/2024] Open
Abstract
Over the past decade, genomic data have contributed to several insights on global human population histories. These studies have been met both with interest and critically, particularly by populations with oral histories that are records of their past and often reference their origins. While several studies have reported concordance between oral and genetic histories, there is potential for tension that may stem from genetic histories being prioritized or used to confirm community-based knowledge and ethnography, especially if they differ. To investigate the interplay between oral and genetic histories, we focused on the southwestern region of India and analyzed whole-genome sequence data from 156 individuals identifying as Bunt, Kodava, Nair, and Kapla. We supplemented limited anthropological records on these populations with oral history accounts from community members and historical literature, focusing on references to non-local origins such as the ancient Scythians in the case of Bunt, Kodava, and Nair, members of Alexander the Great's army for the Kodava, and an African-related source for Kapla. We found these populations to be genetically most similar to other Indian populations, with the Kapla more similar to South Indian tribal populations that maximize a genetic ancestry related to Ancient Ancestral South Indians. We did not find evidence of additional genetic sources in the study populations than those known to have contributed to many other present-day South Asian populations. Our results demonstrate that oral and genetic histories may not always provide consistent accounts of population origins and motivate further community-engaged, multi-disciplinary investigations of non-local origin stories in these communities.
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Affiliation(s)
- Arjun Biddanda
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Esha Bandyopadhyay
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Constanza de la Fuente Castro
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA; Programa de Genética Humana, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - David Witonsky
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | | | - Nagarjuna Pasupuleti
- Department of Applied Zoology, Mangalore University, Mangalagangothri, Karnataka 574199, India
| | - Hannah M Moots
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA; Institute for the Study of Ancient Cultures Museum, University of Chicago, Chicago, IL, USA
| | - Renée Fonseca
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Suzanne Freilich
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA; Department of Evolutionary Anthropology, University of Vienna, Vienna 1090, Austria
| | - Jovan Stanisavic
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Tabitha Willis
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Anoushka Menon
- Department of Archaeology, University of Cambridge, Cambridge CB2 3DZ, UK
| | - Mohammed S Mustak
- Department of Applied Zoology, Mangalore University, Mangalagangothri, Karnataka 574199, India
| | | | - Anjaparavanda P Naren
- Division of Pulmonary Medicine, Cystic Fibrosis Research Center, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Mithun Sikdar
- Anthropological Survey of India, Mysore, Karnataka 570026, India
| | - Niraj Rai
- Birbal Sahni Institute of Palaeosciences, Uttar Pradesh, Lucknow, Uttar Pradesh 226007, India.
| | - Maanasa Raghavan
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
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21
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Sonehara K, Yano Y, Naito T, Goto S, Yoshihara H, Otani T, Ozawa F, Kitaori T, Matsuda K, Nishiyama T, Okada Y, Sugiura-Ogasawara M. Common and rare genetic variants predisposing females to unexplained recurrent pregnancy loss. Nat Commun 2024; 15:5744. [PMID: 39019884 PMCID: PMC11255296 DOI: 10.1038/s41467-024-49993-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 06/25/2024] [Indexed: 07/19/2024] Open
Abstract
Recurrent pregnancy loss (RPL) is a major reproductive health issue with multifactorial causes, affecting 2.6% of all pregnancies worldwide. Nearly half of the RPL cases lack clinically identifiable causes (e.g., antiphospholipid syndrome, uterine anomalies, and parental chromosomal abnormalities), referred to as unexplained RPL (uRPL). Here, we perform a genome-wide association study focusing on uRPL in 1,728 cases and 24,315 female controls of Japanese ancestry. We detect significant associations in the major histocompatibility complex (MHC) region at 6p21 (lead variant=rs9263738; P = 1.4 × 10-10; odds ratio [OR] = 1.51 [95% CI: 1.33-1.72]; risk allele frequency = 0.871). The MHC associations are fine-mapped to the classical HLA alleles, HLA-C*12:02, HLA-B*52:01, and HLA-DRB1*15:02 (P = 1.1 × 10-10, 1.5 × 10-10, and 1.2 × 10-9, respectively), which constitute a population-specific common long-range haplotype with a protective effect (P = 2.8 × 10-10; OR = 0.65 [95% CI: 0.57-0.75]; haplotype frequency=0.108). Genome-wide copy-number variation (CNV) calling demonstrates rare predicted loss-of-function (pLoF) variants of the cadherin-11 gene (CDH11) conferring the risk of uRPL (P = 1.3 × 10-4; OR = 3.29 [95% CI: 1.78-5.76]). Our study highlights the importance of reproductive immunology and rare variants in the uRPL etiology.
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Affiliation(s)
- Kyuto Sonehara
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoshitaka Yano
- Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Tatsuhiko Naito
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shinobu Goto
- Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Hiroyuki Yoshihara
- Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Takahiro Otani
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Fumiko Ozawa
- Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Tamao Kitaori
- Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, the University of Tokyo, Tokyo, Japan
| | - Takashi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Yukinori Okada
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Suita, Japan.
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Osaka, Suita, Japan.
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Osaka, Suita, Japan.
| | - Mayumi Sugiura-Ogasawara
- Department of Obstetrics and Gynecology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
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22
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D'Amico A, Sung H, Arbona-Lampaya A, Freifeld A, Hosey K, Garcia J, Lacbawan L, Besançon E, Kassem L, Akula N, Knowles EEM, Dickinson D, McMahon FJ. Independent inheritance of cognition and bipolar disorder in a family sample. Am J Med Genet B Neuropsychiatr Genet 2024:e33001. [PMID: 39011872 DOI: 10.1002/ajmg.b.33001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 05/28/2024] [Accepted: 06/17/2024] [Indexed: 07/17/2024]
Abstract
Cognitive deficits in people with bipolar disorder (BD) may be the result of the illness or its treatment, but they could also reflect genetic risk factors shared between BD and cognition. We investigated this question using empirical genetic relationships within a sample of patients with BD and their unaffected relatives. Participants with bipolar I, II, or schizoaffective disorder ("narrow" BD, n = 69), related mood disorders ("broad" BD, n = 135), and their clinically unaffected relatives (n = 227) completed five cognitive tests. General cognitive function (g) was quantified via principal components analysis (PCA). Heritability and genetic correlations were estimated with SOLAR-Eclipse. Participants with "narrow" or "broad" diagnoses showed deficits in g, although affect recognition was unimpaired. Cognitive performance was significantly heritable (h2 = 0.322 for g, p < 0.005). Coheritability between psychopathology and g was small (0.0184 for narrow and 0.0327 for broad) and healthy relatives of those with BD were cognitively unimpaired. In this family sample, cognitive deficits were present in participants with BD but were not explained by substantial overlaps in genetic determinants of mood and cognition. These findings support the view that cognitive deficits in BD are largely the result of the illness or its treatment.
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Affiliation(s)
- Alexander D'Amico
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Heejong Sung
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Alejandro Arbona-Lampaya
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Ally Freifeld
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Katie Hosey
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Joshua Garcia
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Ley Lacbawan
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Emily Besançon
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Layla Kassem
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Nirmala Akula
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | | | - Dwight Dickinson
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
| | - Francis J McMahon
- Intramural Research Program, National Institute of Mental Health, NIH, DHHS, Bethesda, Maryland, USA
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Li C, Zhang C, Chen J, Chen Y, Ying Z, Hu Y, Song H, Fu P, Zeng X. The Time-Varying Impact of COVID-19 on the Acute Kidney Disorders: A Historical Matched Cohort Study and Mendelian Randomization Analysis. HEALTH DATA SCIENCE 2024; 4:0159. [PMID: 39011273 PMCID: PMC11246837 DOI: 10.34133/hds.0159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 06/04/2024] [Indexed: 07/17/2024]
Abstract
Background: This study aimed to explore the time-varying impact of COVID-19 on acute kidney disorders, including acute kidney injury and other acute kidney diseases. Methods: From the UK Biobank, 10,121 participants with COVID-19 were matched with up to 3 historically unexposed controls by age, sex, Townsend deprivation index, and the status of hospitalization or receiving critical care. We investigated the association between COVID-19 and incidence of acute kidney disorders, within the first 4 weeks after infection, using conditional and time-varying Cox proportional hazard regression. In addition, one-sample Mendelian randomization, utilizing the polygenic risk score for COVID-19 as an instrumental variable, was conducted to explore the potential causality of the association. Results: In the matched cohort study, we observed a significant association between COVID-19 and acute kidney disorders predominantly within the first 3 weeks. The impact of COVID-19 was time dependent, peaking in the second week (hazard ratio, 12.77; 95% confidence interval, 5.93 to 27.70) and decreasing by the fourth week (hazard ratio, 2.28; 95% confidence interval, 0.75 to 6.93). In subgroup analyses, only moderate to severe COVID-19 cases were associated with acute worsening of renal function in a time-dependent pattern. One-sample Mendelian randomization analyses further showed that COVID-19 might exert a "short-term" causal effect on the risk of acute kidney disorders, primarily confined to the first week after infection. Conclusions: The risk of acute kidney disorders following COVID-19 demonstrates a time-varying pattern. Hazard effects were observed only in patients with moderate or severe but not mild COVID-19.
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Affiliation(s)
- Chunyang Li
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610065, China
| | - Chao Zhang
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610065, China
| | - Jie Chen
- Department of Core Laboratory, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yilong Chen
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610065, China
| | - Zhiye Ying
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610065, China
| | - Yao Hu
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610065, China
| | - Huan Song
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610065, China
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Ping Fu
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xiaoxi Zeng
- Division of Nephrology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu 610065, China
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24
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Cui Z, Schumacher FR. Small-group originating model: Optimized individual-level GWAS simulation featured by SLiM and using open-access data. Comput Biol Chem 2024; 112:108147. [PMID: 39033733 DOI: 10.1016/j.compbiolchem.2024.108147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 05/22/2024] [Accepted: 07/08/2024] [Indexed: 07/23/2024]
Abstract
The development of analytical methods for Genome-wide Association Studies (GWAS) has outpaced the evolution of simulation techniques and pipelines. This disparity underscores the importance of innovative simulation methods that can keep pace with the rapidly increasing scale of GWAS. The median sample size of GWAS over the past ten years has exceeded 50,000 individuals, a trend that emphasizes the need for simulation tools capable of generating data on a similar or larger scale. This paper introduces a novel method, the small-group originating (SGO) model, utilizing the SLiM software for simulating individual-level GWAS data. Our standardized protocol facilitates the generation of tens of thousands of pseudo-individuals with millions of variants from small (30-90) open-access datasets. SGO stands out, especially when compared to the widely-used resampling method in HapGen, showcasing superior simulation efficiency for large sample sizes (> 13,000) of unrelated individuals. This capability is particularly relevant given the current trajectory towards larger GWAS, necessitating tools that can simulate datasets reflective of this growth. Additionally, SGO provides customization options and can model dynamic life cycles and mating across generations, positioning it as a highly promising alternative for GWAS simulations. In a case study, sensitivity analyses of chromosome-level principal component analysis and kinship coefficient estimation were conducted. The results highlighted the poor robustness of chromosome-level quality control (QC) indexes and the uneven distribution of population structure across chromosomes and ancestries, advocating for the caution against relying solely on chromosome-level QC statistics. With its flexible and efficient approach to generating pseudo GWAS data, our standardized SGO protocol emerges as a crucial asset for method development, power analysis, and benchmarking in GWAS research. It is especially vital in the context of accommodating the demands for large-scale simulations, aligning with the current and future scale of GWAS.
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Affiliation(s)
- Zuxi Cui
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA; Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
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25
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Olfson E, Farhat LC, Liu W, Vitulano LA, Zai G, Lima MO, Parent J, Polanczyk GV, Cappi C, Kennedy JL, Fernandez TV. Rare de novo damaging DNA variants are enriched in attention-deficit/hyperactivity disorder and implicate risk genes. Nat Commun 2024; 15:5870. [PMID: 38997333 PMCID: PMC11245598 DOI: 10.1038/s41467-024-50247-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 06/29/2024] [Indexed: 07/14/2024] Open
Abstract
Research demonstrates the important role of genetic factors in attention-deficit/hyperactivity disorder (ADHD). DNA sequencing of families provides a powerful approach for identifying de novo (spontaneous) variants, leading to the discovery of hundreds of clinically informative risk genes for other childhood neurodevelopmental disorders. This approach has yet to be extensively leveraged in ADHD. We conduct whole-exome DNA sequencing in 152 families, comprising a child with ADHD and both biological parents, and demonstrate a significant enrichment of rare and ultra-rare de novo gene-damaging mutations in ADHD cases compared to unaffected controls. Combining these results with a large independent case-control DNA sequencing cohort (3206 ADHD cases and 5002 controls), we identify lysine demethylase 5B (KDM5B) as a high-confidence risk gene for ADHD and estimate that 1057 genes contribute to ADHD risk. Using our list of genes harboring ultra-rare de novo damaging variants, we show that these genes overlap with previously reported risk genes for other neuropsychiatric conditions and are enriched in several canonical biological pathways, suggesting early neurodevelopmental underpinnings of ADHD. This work provides insight into the biology of ADHD and demonstrates the discovery potential of DNA sequencing in larger parent-child trio cohorts.
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Affiliation(s)
- Emily Olfson
- Child Study Center, Yale University, New Haven, CT, USA.
- Wu Tsai Institute, Yale University, New Haven, CT, USA.
| | - Luis C Farhat
- Child Study Center, Yale University, New Haven, CT, USA
- Division of Child & Adolescent Psychiatry, Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Wenzhong Liu
- Child Study Center, Yale University, New Haven, CT, USA
| | | | - Gwyneth Zai
- Tanenbaum Centre, Molecular Brain Sciences Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Monicke O Lima
- Division of Child & Adolescent Psychiatry, Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Justin Parent
- University of Rhode Island, Kingston, RI, USA
- Bradley/Hasbro Children's Research Center, E.P. Bradley Hospital, Providence, RI, USA
- Alpert Medical School of Brown University, Providence, RI, USA
| | - Guilherme V Polanczyk
- Division of Child & Adolescent Psychiatry, Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Carolina Cappi
- Department of Psychiatry at Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | - James L Kennedy
- Tanenbaum Centre, Molecular Brain Sciences Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Thomas V Fernandez
- Child Study Center, Yale University, New Haven, CT, USA.
- Department of Psychiatry, Yale University, New Haven, CT, USA.
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26
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Sun YV, Liu C, Hui Q, Zhou JJ, Gaziano JM, Wilson PWF, Joseph J, Phillips LS. Identification and correction for collider bias in a genome-wide association study of diabetes-related heart failure. Am J Hum Genet 2024; 111:1481-1493. [PMID: 38897203 PMCID: PMC11267521 DOI: 10.1016/j.ajhg.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 05/20/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
Type 2 diabetes (T2D) is a major risk factor for heart failure (HF) and has elevated incidence among individuals with HF. Since genetics and HF can independently influence T2D, collider bias may occur when T2D (i.e., collider) is controlled for by design or analysis. Thus, we conducted a genome-wide association study (GWAS) of diabetes-related HF with correction for collider bias. We first performed a GWAS of HF to identify genetic instrumental variables (GIVs) for HF and to enable bidirectional Mendelian randomization (MR) analysis between T2D and HF. We identified 61 genomic loci, significantly associated with all-cause HF in 114,275 individuals with HF and over 1.5 million controls of European ancestry. Using a two-sample bidirectional MR approach with 59 and 82 GIVs for HF and T2D, respectively, we estimated that T2D increased HF risk (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.04-1.10), while HF also increased T2D risk (OR 1.60, 95% CI 1.36-1.88). Then we performed a GWAS of diabetes-related HF corrected for collider bias due to the study design of index cases. After removing the spurious association of TCF7L2 locus due to collider bias, we identified two genome-wide significant loci close to PITX2 (chromosome 4) and CDKN2B-AS1 (chromosome 9) associated with diabetes-related HF in the Million Veteran Program and replicated the associations in the UK Biobank. Our MR findings provide strong evidence that HF increases T2D risk. As a result, collider bias leads to spurious genetic associations of diabetes-related HF, which can be effectively corrected to identify true positive loci.
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Affiliation(s)
- Yan V Sun
- Atlanta VA Healthcare System, Decatur, GA, USA; Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
| | - Chang Liu
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Qin Hui
- Atlanta VA Healthcare System, Decatur, GA, USA; Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Jin J Zhou
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA; Division of Aging, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter W F Wilson
- Atlanta VA Healthcare System, Decatur, GA, USA; Emory University School of Medicine, Atlanta, GA, USA
| | - Jacob Joseph
- VA Providence Healthcare System, Providence, RI, USA; The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Lawrence S Phillips
- Atlanta VA Healthcare System, Decatur, GA, USA; Emory University School of Medicine, Atlanta, GA, USA
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27
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Burnham KL, Milind N, Lee W, Kwok AJ, Cano-Gamez K, Mi Y, Geoghegan CG, Zhang P, McKechnie S, Soranzo N, Hinds CJ, Knight JC, Davenport EE. eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis. CELL GENOMICS 2024; 4:100587. [PMID: 38897207 DOI: 10.1016/j.xgen.2024.100587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/27/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024]
Abstract
Sepsis is a clinical syndrome of life-threatening organ dysfunction caused by a dysregulated response to infection, for which disease heterogeneity is a major obstacle to developing targeted treatments. We have previously identified gene-expression-based patient subgroups (sepsis response signatures [SRS]) informative for outcome and underlying pathophysiology. Here, we aimed to investigate the role of genetic variation in determining the host transcriptomic response and to delineate regulatory networks underlying SRS. Using genotyping and RNA-sequencing data on 638 adult sepsis patients, we report 16,049 independent expression (eQTLs) and 32 co-expression module (modQTLs) quantitative trait loci in this disease context. We identified significant interactions between SRS and genotype for 1,578 SNP-gene pairs and combined transcription factor (TF) binding site information (SNP2TFBS) and predicted regulon activity (DoRothEA) to identify candidate upstream regulators. Overall, these approaches identified putative mechanistic links between host genetic variation, cell subtypes, and the individual transcriptomic response to infection.
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Affiliation(s)
- Katie L Burnham
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Nikhil Milind
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK; University of Cambridge, Cambridge, UK
| | - Wanseon Lee
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Andrew J Kwok
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kiki Cano-Gamez
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK; Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Yuxin Mi
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Ping Zhang
- Centre for Human Genetics, University of Oxford, Oxford, UK; Chinese Academy of Medical Science Oxford Institute, University of Oxford, Oxford, UK
| | | | - Nicole Soranzo
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Charles J Hinds
- Centre for Translational Medicine & Therapeutics, William Harvey Research Institute, Faculty of Medicine & Dentistry, Queen Mary University of London, London, UK
| | - Julian C Knight
- Centre for Human Genetics, University of Oxford, Oxford, UK; Chinese Academy of Medical Science Oxford Institute, University of Oxford, Oxford, UK.
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28
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Kim JY, Cho YS. Identification of shared genetic risks underlying metabolic syndrome and its related traits in the Korean population. Front Genet 2024; 15:1417262. [PMID: 39050255 PMCID: PMC11266026 DOI: 10.3389/fgene.2024.1417262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 06/20/2024] [Indexed: 07/27/2024] Open
Abstract
Introduction: Observational studies have demonstrated strong correlations between metabolic syndrome (MetS) and its related traits. To gain insight into the genetic architecture and molecular mechanism of MetS, we investigated the shared genetic basis of MetS and its related traits and further tested their causal relationships. Methods: Using summary statistics from genome-wide association analyses of about 72,000 subjects from the Korean Genome and Epidemiological Study (KoGES), we conducted genome-wide multi-trait analyses to quantify the overall genetic correlation and Mendelian randomization analyses to infer the causal relationships between traits of interest. Results: Genetic correlation analyses revealed a significant correlation of MetS with its related traits, such as obesity traits (body mass index and waist circumference), lipid traits (triglyceride and high-density lipoprotein cholesterol), glycemic traits (fasting plasma glucose and hemoglobin A1C), and blood pressure (systolic and diastolic). Mendelian randomization analyses further demonstrated that the MetS-related traits showing significant overall genetic correlation with MetS could be genetically determined risk factors for MetS. Discussion: Our study suggests a shared genetic basis of MetS and its related traits and provides novel insights into the biological mechanisms underlying these complex traits. Our findings further inform public health interventions by supporting the important role of the management of metabolic risk factors such as obesity, unhealthy lipid profiles, diabetes, and high blood pressure in the prevention of MetS.
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Affiliation(s)
| | - Yoon Shin Cho
- Department of Biomedical Science, Hallym University, Chuncheon, Gangwon, Republic of Korea
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29
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Gasca-Pineda J, Monterrubio B, Sánchez-de la Vega G, Aguirre-Planter E, Lira-Saade R, Eguiarte LE. Conservation genomics of the wild pumpkin Cucurbita radicans in Central Mexico: The influence of a changing environment on the genetic diversity and differentiation of a rare species. JOURNAL OF PLANT RESEARCH 2024:10.1007/s10265-024-01552-1. [PMID: 38977618 DOI: 10.1007/s10265-024-01552-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 06/02/2024] [Indexed: 07/10/2024]
Abstract
The genetic diversity found in natural populations is the result of the evolutionary forces in response to historical and contemporary factors. The environmental characteristics and geological history of Mexico promoted the evolution and diversification of plant species, including wild relatives of crops such as the wild pumpkins (Cucurbita). Wild pumpkin species are found in a variety of habitats, evidencing their capability to adapt to different environments. Despite the potential value of wild Cucurbita as a genetic reservoir for crops, there is a lack of studies on their genetic diversity. Cucurbita radicans is an endangered species threatened by habitat destruction leading to low densities in small and isolated populations. Here, we analyze Genotype by Sequencing genomic data of the wild pumpkin C. radicans to evaluate the influence of factors like isolation, demographic history, and the environment shaping the amount and distribution of its genetic variation. We analyzed 91 individuals from 14 localities along its reported distribution. We obtained 5,107 SNPs and found medium-high levels of genetic diversity and genetic structure distributed in four main geographic areas with different environmental conditions. Moreover, we found signals of demographic growth related to historical climatic shifts. Outlier loci analysis showed significant association with the environment, principally with precipitation variables. Also, the outlier loci displayed differential changes in their frequencies in response to future global climate change scenarios. Using the results of genetic structure, outlier loci and multivariate analyses of the environmental conditions, we propose priority localities for conservation that encompass most of the genetic diversity of C. radicans.
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Affiliation(s)
- Jaime Gasca-Pineda
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Circuito Exterior s/n Anexo al Jardín Botánico, Ciudad de México, 04510, México.
- Unidad de Biotecnología y Prototipos, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Av. De Los Barrios 1, Col. Los Reyes Iztacala, Tlalnepantla, Estado de México, 54090, México.
| | - Brenda Monterrubio
- Unidad de Biotecnología y Prototipos, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Av. De Los Barrios 1, Col. Los Reyes Iztacala, Tlalnepantla, Estado de México, 54090, México
| | - Guillermo Sánchez-de la Vega
- Unidad de Biotecnología y Prototipos, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Av. De Los Barrios 1, Col. Los Reyes Iztacala, Tlalnepantla, Estado de México, 54090, México
| | - Erika Aguirre-Planter
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Circuito Exterior s/n Anexo al Jardín Botánico, Ciudad de México, 04510, México
| | - Rafael Lira-Saade
- Unidad de Biotecnología y Prototipos, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Av. De Los Barrios 1, Col. Los Reyes Iztacala, Tlalnepantla, Estado de México, 54090, México
| | - Luis E Eguiarte
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Circuito Exterior s/n Anexo al Jardín Botánico, Ciudad de México, 04510, México.
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30
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Li X, Fernandes BS, Liu A, Lu Y, Chen J, Zhao Z, Dai Y. GRPa-PRS: A risk stratification method to identify genetically-regulated pathways in polygenic diseases. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.06.19.23291621. [PMID: 37425929 PMCID: PMC10327215 DOI: 10.1101/2023.06.19.23291621] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Background Polygenic risk scores (PRS) are tools used to evaluate an individual's susceptibility to polygenic diseases based on their genetic profile. A considerable proportion of people carry a high genetic risk but evade the disease. On the other hand, some individuals with a low risk of eventually developing the disease. We hypothesized that unknown counterfactors might be involved in reversing the PRS prediction, which might provide new insights into the pathogenesis, prevention, and early intervention of diseases. Methods We built a novel computational framework to identify genetically-regulated pathways (GRPas) using PRS-based stratification for each cohort. We curated two AD cohorts with genotyping data; the discovery (disc) and the replication (rep) datasets include 2722 and 2854 individuals, respectively. First, we calculated the optimized PRS model based on the three recent AD GWAS summary statistics for each cohort. Then, we stratified the individuals by their PRS and clinical diagnosis into six biologically meaningful PRS strata, such as AD cases with low/high risk and cognitively normal (CN) with low/high risk. Lastly, we imputed individual genetically-regulated expression (GReX) and identified differential GReX and GRPas between risk strata using gene-set enrichment and variational analyses in two models, with and without APOE effects. An orthogonality test was further conducted to verify those GRPas are independent of PRS risk. To verify the generalizability of other polygenic diseases, we further applied a default model of GRPa-PRS for schizophrenia (SCZ). Results For each stratum, we conducted the same procedures in both the disc and rep datasets for comparison. In AD, we identified several well-known AD-related pathways, including amyloid-beta clearance, tau protein binding, and astrocyte response to oxidative stress. Additionally, we discovered resilience-related GRPs that are orthogonal to AD PRS, such as the calcium signaling pathway and divalent inorganic cation homeostasis. In SCZ, pathways related to mitochondrial function and muscle development were highlighted. Finally, our GRPa-PRS method identified more consistent differential pathways compared to another variant-based pathway PRS method. Conclusions We developed a framework, GRPa-PRS, to systematically explore the differential GReX and GRPas among individuals stratified by their estimated PRS. The GReX-level comparison among those strata unveiled new insights into the pathways associated with disease risk and resilience. Our framework is extendable to other polygenic complex diseases.
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Affiliation(s)
- Xiaoyang Li
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Brisa S. Fernandes
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Andi Liu
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Yimei Lu
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Jingchun Chen
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Zhongming Zhao
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Yulin Dai
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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31
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Gilliland T, Dron JS, Selvaraj MS, Trinder M, Paruchuri K, Urbut SM, Haidermota S, Bernardo R, Uddin MM, Honigberg MC, Peloso GM, Natarajan P. Genetic Architecture and Clinical Outcomes of Combined Lipid Disturbances. Circ Res 2024; 135:265-276. [PMID: 38828614 PMCID: PMC11223949 DOI: 10.1161/circresaha.123.323973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 05/20/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Dyslipoproteinemia often involves simultaneous derangements of multiple lipid traits. We aimed to evaluate the phenotypic and genetic characteristics of combined lipid disturbances in a general population-based cohort. METHODS Among UK Biobank participants without prevalent coronary artery disease, we used blood lipid and apolipoprotein B concentrations to ascribe individuals into 1 of 6 reproducible and mutually exclusive dyslipoproteinemia subtypes. Incident coronary artery disease risk was estimated for each subtype using Cox proportional hazards models. Phenome-wide analyses and genome-wide association studies were performed for each subtype, followed by in silico causal gene prioritization and heritability analyses. Additionally, the prevalence of disruptive variants in causal genes for Mendelian lipid disorders was assessed using whole-exome sequence data. RESULTS Among 450 636 UK Biobank participants: 63 (0.01%) had chylomicronemia; 40 005 (8.9%) had hypercholesterolemia; 94 785 (21.0%) had combined hyperlipidemia; 13 998 (3.1%) had remnant hypercholesterolemia; 110 389 (24.5%) had hypertriglyceridemia; and 49 (0.01%) had mixed hypertriglyceridemia and hypercholesterolemia. Over a median (interquartile range) follow-up of 11.1 (10.4-11.8) years, incident coronary artery disease risk varied across subtypes, with combined hyperlipidemia exhibiting the largest hazard (hazard ratio, 1.92 [95% CI, 1.84-2.01]; P=2×10-16), even when accounting for non-HDL-C (hazard ratio, 1.45 [95% CI, 1.30-1.60]; P=2.6×10-12). Genome-wide association studies revealed 250 loci significantly associated with dyslipoproteinemia subtypes, of which 72 (28.8%) were not detected in prior single lipid trait genome-wide association studies. Mendelian lipid variant carriers were rare (2.0%) among individuals with dyslipoproteinemia, but polygenic heritability was high, ranging from 23% for remnant hypercholesterolemia to 54% for combined hyperlipidemia. CONCLUSIONS Simultaneous assessment of multiple lipid derangements revealed nuanced differences in coronary artery disease risk and genetic architectures across dyslipoproteinemia subtypes. These findings highlight the importance of looking beyond single lipid traits to better understand combined lipid and lipoprotein phenotypes and implications for disease risk.
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Affiliation(s)
- Thomas Gilliland
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jacqueline S. Dron
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Margaret Sunitha Selvaraj
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Mark Trinder
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC
| | - Kaavya Paruchuri
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Sarah M. Urbut
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Sara Haidermota
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Rachel Bernardo
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Md Mesbah Uddin
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Michael C. Honigberg
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
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32
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Hull KL, Greenwood MP, Lloyd M, Brink-Hull M, Bester-van der Merwe AE, Rhode C. Drivers of genomic diversity and phenotypic development in early phases of domestication in Hermetia illucens. INSECT MOLECULAR BIOLOGY 2024. [PMID: 38963286 DOI: 10.1111/imb.12940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 06/17/2024] [Indexed: 07/05/2024]
Abstract
The black soldier fly (BSF), Hermetia illucens, has the ability to efficiently bioremediate organic waste into usable bio-compounds. Understanding the impact of domestication and mass rearing on fitness and production traits is therefore important for sustainable production. This study aimed to assess patterns of genomic diversity and its association to phenotypic development across early generations of mass rearing under two selection strategies: selection for greater larval mass (SEL lines) and no direct artificial selection (NS lines). Genome-wide single nucleotide polymorphism (SNP) data were generated using 2bRAD sequencing, while phenotypic traits relating to production and population fitness were measured. Declining patterns of genomic diversity were observed across three generations of captive breeding, with the lowest diversity recorded for the F3 generation of both selection lines, most likely due to founder effects. The SEL cohort displayed statistically significantly greater larval weight com the NS lines with pronounced genetic and phenotypic directional changes across generations. Furthermore, lower genetic and phenotypic diversity, particularly for fitness traits, were evident for SEL lines, illustrating the trade-off between selecting for mass and the resulting decline in population fitness. SNP-based heritability was significant for growth, but was low or non-significant for fitness traits. Genotype-phenotype correlations were observed for traits, but individual locus effect sizes where small and very few of these loci demonstrated a signature for selection. Pronounced genetic drift, due to small effective population sizes, is likely overshadowing the impacts of selection on genomic diversity and consequently phenotypic development. The results hold particular relevance for genetic management and selective breeding for BSF in future.
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Affiliation(s)
- Kelvin L Hull
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | | | - Melissa Lloyd
- Research and Development Department, Insect Technology Group Holdings UK Ltd., Guildford, UK
| | - Marissa Brink-Hull
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | | | - Clint Rhode
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
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33
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Moreno-Cabrera JM, Feliubadaló L, Pineda M, Prada-Dacasa P, Ramos-Muntada M, Del Valle J, Brunet J, Gel B, Currás-Freixes M, Calsina B, Salazar-Hidalgo ME, Rodríguez-Balada M, Roig B, Fernández-Castillejo S, Durán Domínguez M, Arranz Ledo M, Infante Sanz M, Castillejo A, Dámaso E, Soto JL, de Miguel M, Hidalgo Calero B, Sánchez-Zapardiel JM, Ramon Y Cajal T, Lasa A, Gisbert-Beamud A, López-Novo A, Ruiz-Ponte C, Potrony M, Álvarez-Mora MI, Osorio A, Lorda-Sánchez I, Robledo M, Cascón A, Ruiz A, Spataro N, Hernan I, Borràs E, Moles-Fernández A, Earl J, Cadiñanos J, Sánchez-Heras AB, Bigas A, Capellá G, Lázaro C. SpadaHC: a database to improve the classification of variants in hereditary cancer genes in the Spanish population. Database (Oxford) 2024; 2024:baae055. [PMID: 38965703 PMCID: PMC11223915 DOI: 10.1093/database/baae055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 04/30/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024]
Abstract
Accurate classification of genetic variants is crucial for clinical decision-making in hereditary cancer. In Spain, genetic diagnostic laboratories have traditionally approached this task independently due to the lack of a dedicated resource. Here we present SpadaHC, a web-based database for sharing variants in hereditary cancer genes in the Spanish population. SpadaHC is implemented using a three-tier architecture consisting of a relational database, a web tool and a bioinformatics pipeline. Contributing laboratories can share variant classifications and variants from individuals in Variant Calling Format (VCF) format. The platform supports open and restricted access, flexible dataset submissions, automatic pseudo-anonymization, VCF quality control, variant normalization and liftover between genome builds. Users can flexibly explore and search data, receive automatic discrepancy notifications and access SpadaHC population frequencies based on many criteria. In February 2024, SpadaHC included 18 laboratory members, storing 1.17 million variants from 4306 patients and 16 343 laboratory classifications. In the first analysis of the shared data, we identified 84 genetic variants with clinically relevant discrepancies in their classifications and addressed them through a three-phase resolution strategy. This work highlights the importance of data sharing to promote consistency in variant classifications among laboratories, so patients and family members can benefit from more accurate clinical management. Database URL: https://spadahc.ciberisciii.es/.
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Affiliation(s)
- José M Moreno-Cabrera
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
- Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, Barcelona 08908, Spain
| | - Lidia Feliubadaló
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
| | - Marta Pineda
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
| | - Patricia Prada-Dacasa
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
| | - Mireia Ramos-Muntada
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
| | - Jesús Del Valle
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
| | - Joan Brunet
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
| | - Bernat Gel
- Hereditary Cancer Group, Program for Predictive and Personalized Medicine of Cancer, Germans Trias i Pujol Research Institute (PMPPC-IGTP), Campus Can Ruti, Ctra de Can Ruti, Camí de les Escoles, s/n, Badalona 08916, Spain
| | - María Currás-Freixes
- Familial Cancer Clinical Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, Madrid 28029, Spain
| | - Bruna Calsina
- Familial Cancer Clinical Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, Madrid 28029, Spain
| | - Milton E Salazar-Hidalgo
- Familial Cancer Clinical Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre (CNIO), Melchor Fernández Almagro, 3, Madrid 28029, Spain
| | - Marta Rodríguez-Balada
- Institut d’Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus (HUSJR), Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili (URV), Dr. Josep Laporte, 2, Reus 43204, Spain
| | - Bàrbara Roig
- Institut d’Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus (HUSJR), Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili (URV), Dr. Josep Laporte, 2, Reus 43204, Spain
| | - Sara Fernández-Castillejo
- Institut d’Oncologia de la Catalunya Sud (IOCS), Hospital Universitari Sant Joan de Reus (HUSJR), Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili (URV), Dr. Josep Laporte, 2, Reus 43204, Spain
| | - Mercedes Durán Domínguez
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics, University of Valladolid-Spanish National Research Council (IBGM, UVa- CSIC), Sanz y Fores, 3, Valladolid 47003, Spain
| | - Mónica Arranz Ledo
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics, University of Valladolid-Spanish National Research Council (IBGM, UVa- CSIC), Sanz y Fores, 3, Valladolid 47003, Spain
| | - Mar Infante Sanz
- Cancer Genetics Group, Unit of Excellence Institute of Biomedicine and Molecular Genetics, University of Valladolid-Spanish National Research Council (IBGM, UVa- CSIC), Sanz y Fores, 3, Valladolid 47003, Spain
| | - Adela Castillejo
- Unidad de Genética Molecular, Hospital General Universitario de Elche. Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Av. de Catalunya, 21, Elche 03203, Spain
| | - Estela Dámaso
- Unidad de Genética Molecular, Hospital General Universitario de Elche. Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Av. de Catalunya, 21, Elche 03203, Spain
| | - José L Soto
- Unidad de Genética Molecular, Hospital General Universitario de Elche. Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO), Av. de Catalunya, 21, Elche 03203, Spain
| | - Montserrat de Miguel
- Laboratorio de cáncer hereditario, Servicio de Bioquímica clínica-Análisis clínicos, Hospital Universitario 12 de Octubre, Av. de Córdoba, s/n, Madrid 28041, Spain
| | - Beatriz Hidalgo Calero
- Laboratorio de cáncer hereditario, Servicio de Bioquímica clínica-Análisis clínicos, Hospital Universitario 12 de Octubre, Av. de Córdoba, s/n, Madrid 28041, Spain
| | - José M Sánchez-Zapardiel
- Laboratorio de cáncer hereditario, Servicio de Bioquímica clínica-Análisis clínicos, Hospital Universitario 12 de Octubre, Av. de Córdoba, s/n, Madrid 28041, Spain
| | - Teresa Ramon Y Cajal
- Familial Cancer Clinic, Medical Oncology, Hospital de la Santa Creu i Sant Pau, Sant Quintí, 89, Barcelona 08041, Spain
| | - Adriana Lasa
- Genetics Department, Hospital de la Santa Creu i Sant Pau, Sant Quintí, 89, Barcelona 08041, Spain
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
| | | | - Anael López-Novo
- Fundación Pública Galega de Medicina Xenómica (SERGAS), Instituto de Investigación Sanitaria de Santiago, Grupo de Medicina Xenómica-USC, Av. Barcelona, s/n, Santiago de Compostela 15706, Spain
| | - Clara Ruiz-Ponte
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
- Fundación Pública Galega de Medicina Xenómica (SERGAS), Instituto de Investigación Sanitaria de Santiago, Grupo de Medicina Xenómica-USC, Av. Barcelona, s/n, Santiago de Compostela 15706, Spain
| | - Miriam Potrony
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
- Biochemistry and Molecular Genetics Department, Hospital Clinic of Barcelona and Fundació de Recerca Clínic Barcelona-Institut d’Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), University of Barcelona, Rosselló, 149, Barcelona 08036, Spain
| | - María I Álvarez-Mora
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
- Biochemistry and Molecular Genetics Department, Hospital Clinic of Barcelona and Fundació de Recerca Clínic Barcelona-Institut d’Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), University of Barcelona, Rosselló, 149, Barcelona 08036, Spain
| | - Ana Osorio
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
- Departamento de Genética y Genómica, Hospital Universitario Fundación Jiménez Diaz (IIS-FJD), Av. de los Reyes Católicos, 2, Madrid 28040, Spain
| | - Isabel Lorda-Sánchez
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
- Departamento de Genética y Genómica, Hospital Universitario Fundación Jiménez Diaz (IIS-FJD), Av. de los Reyes Católicos, 2, Madrid 28040, Spain
| | - Mercedes Robledo
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Program, Spanish National Cancer Research Center (CNIO), Melchor Fernández Almagro, 3, Madrid 28029, Spain
| | - Alberto Cascón
- Biomedical Network Research Centre On Rare Diseases (CIBERER), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid 28029, Spain
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Program, Spanish National Cancer Research Center (CNIO), Melchor Fernández Almagro, 3, Madrid 28029, Spain
| | - Anna Ruiz
- Genetics Laboratory, Center for Genomic Medicine, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Plaça Torre de l’Aigua, s/n, Sabadell 08208, Spain
| | - Nino Spataro
- Genetics Laboratory, Center for Genomic Medicine, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Plaça Torre de l’Aigua, s/n, Sabadell 08208, Spain
| | - Imma Hernan
- Molecular Genetics Unit, Consorci Sanitari de Terrassa, Ctra. Torrebonica, S/N, Terrassa 08227, Spain
| | - Emma Borràs
- Molecular Genetics Unit, Consorci Sanitari de Terrassa, Ctra. Torrebonica, S/N, Terrassa 08227, Spain
| | - Alejandro Moles-Fernández
- Department of Clinical and Molecular Genetics, Vall d’Hebron Barcelona Hospital Campus, Vall d’Hebron Hospital Universitari, Pg. de la Vall d’Hebron, 119, Barcelona 08035, Spain
- Medicine Genetics Group, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Vall d’Hebron Hospital Universitari, Pg. de la Vall d’Hebron, 119, Barcelona 08035, Spain
| | - Julie Earl
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
- Biomarkers and Personalized Approach to Cancer Group (BioPAC), Ramón y Cajal Health Research Institute (IRYCIS), Ctra. Colmenar Viejo, Km. 9,100, Madrid 28034, Spain
| | - Juan Cadiñanos
- Fundación Centro Médico de Asturias, José María Richard Grandío, s/n, Oviedo, Asturias 33193, Spain
| | - Ana B Sánchez-Heras
- Cancer Genetic Counseling Unit, Medical Oncology Department, Elche General University Hospital, Almazara, 11, Elche 03203, Spain
| | - Anna Bigas
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
- Program in Cancer Research, Institut Hospital del Mar d’Investigacions Mèdiques, Dr. Aiguader, 88, Barcelona 08003, Spain
- Josep Carreras Leukemia Research Institute, Ctra de Can Ruti, Camí de les Escoles, s/n, Barcelona 08916, Spain
| | - Gabriel Capellá
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
| | - Conxi Lázaro
- Hereditary Cancer Program, Catalan Institute of Oncology, Institut d’Investigació Biomèdica de Bellvitge-IDIBELL-ONCOBELL, L’Hospitalet de Llobregat, Barcelona 08908, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III, Monforte de Lemos, 3-5, Madrid, 28029, Spain
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Gautier M, Micol T, Camus L, Moazami-Goudarzi K, Naves M, Guéret E, Engelen S, Lemainque A, Colas F, Flori L, Druet T. Genomic Reconstruction of the Successful Establishment of a Feralized Bovine Population on the Subantarctic Island of Amsterdam. Mol Biol Evol 2024; 41:msae121. [PMID: 38889245 DOI: 10.1093/molbev/msae121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 05/13/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024] Open
Abstract
The feral cattle of the subantarctic island of Amsterdam provide an outstanding case study of a large mammalian population that was established by a handful of founders and thrived within a few generations in a seemingly inhospitable environment. Here, we investigated the genetic history and composition of this population using genotyping and sequencing data. Our inference showed an intense but brief founding bottleneck around the late 19th century and revealed contributions from European taurine and Indian Ocean Zebu in the founder ancestry. Comparative analysis of whole-genome sequences further revealed a moderate reduction in genetic diversity despite high levels of inbreeding. The brief and intense bottleneck was associated with high levels of drift, a flattening of the site frequency spectrum and a slight relaxation of purifying selection on mildly deleterious variants. Unlike some populations that have experienced prolonged reductions in effective population size, we did not observe any significant purging of highly deleterious variants. Interestingly, the population's success in the harsh environment can be attributed to preadaptation from their European taurine ancestry, suggesting no strong bioclimatic challenge, and also contradicting evidence for insular dwarfism. Genome scan for footprints of selection uncovered a majority of candidate genes related to nervous system function, likely reflecting rapid feralization driven by behavioral changes and complex social restructuring. The Amsterdam Island cattle offers valuable insights into rapid population establishment, feralization, and genetic adaptation in challenging environments. It also sheds light on the unique genetic legacies of feral populations, raising ethical questions according to conservation efforts.
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Affiliation(s)
- Mathieu Gautier
- CBGP, INRAE, CIRAD, IRD, L'institut Agro, Université de Montpellier, Montpellier, France
| | | | - Louise Camus
- CBGP, INRAE, CIRAD, IRD, L'institut Agro, Université de Montpellier, Montpellier, France
| | | | | | - Elise Guéret
- MGX-Montpellier GenomiX, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Stefan Engelen
- Retired, CEA, Institut de biologie François-Jacob, Genoscope, Université Paris-Saclay, Evry, France
| | - Arnaud Lemainque
- Retired, CEA, Institut de biologie François-Jacob, Genoscope, Université Paris-Saclay, Evry, France
| | - François Colas
- Retired, Saint-Paul and Amsterdam District, Terres Australes et Antarctiques Françaises, France
| | - Laurence Flori
- SELMET, INRAE, CIRAD, L'institut Agro, Université de Montpellier, Montpellier, France
| | - Tom Druet
- Unit of Animal Genomics, GIGA-R and Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
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Leon-Apodaca AV, Kumar M, del Castillo A, Conroy GC, Lamont RW, Ogbourne S, Cairns KM, Borburgh L, Behrendorff L, Subramanian S, Szpiech ZA. Genomic Consequences of Isolation and Inbreeding in an Island Dingo Population. Genome Biol Evol 2024; 16:evae130. [PMID: 38913571 PMCID: PMC11221432 DOI: 10.1093/gbe/evae130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 06/26/2024] Open
Abstract
Dingoes come from an ancient canid lineage that originated in East Asia around 8,000 to 11,000 years BP. As Australia's largest terrestrial predator, dingoes play an important ecological role. A small, protected population exists on a world heritage listed offshore island, K'gari (formerly Fraser Island). Concern regarding the persistence of dingoes on K'gari has risen due to their low genetic diversity and elevated inbreeding levels. However, whole-genome sequence data is lacking from this population. Here, we include five new whole-genome sequences of K'gari dingoes. We analyze a total of 18 whole-genome sequences of dingoes sampled from mainland Australia and K'gari to assess the genomic consequences of their demographic histories. Long (>1 Mb) runs of homozygosity (ROHs)-indicators of inbreeding-are elevated in all sampled dingoes. However, K'gari dingoes showed significantly higher levels of very long ROH (>5 Mb), providing genomic evidence for small population size, isolation, inbreeding, and a strong founder effect. Our results suggest that, despite current levels of inbreeding, the K'gari population is purging strongly deleterious mutations, which, in the absence of further reductions in population size, may facilitate the persistence of small populations despite low genetic diversity and isolation. However, there may be little to no purging of mildly deleterious alleles, which may have important long-term consequences, and should be considered by conservation and management programs.
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Affiliation(s)
- Ana V Leon-Apodaca
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Manoharan Kumar
- School of Science, Technology & Engineering, University of the Sunshine Coast, 1 Moreton Parade, Petrie, Queensland, Australia
| | - Andres del Castillo
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Gabriel C Conroy
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Robert W Lamont
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Steven Ogbourne
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Kylie M Cairns
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, NSW 2052, Australia
- Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, NSW 2052, Australia
| | - Liz Borburgh
- School of Science, Technology & Engineering, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Linda Behrendorff
- Queensland Parks and Wildlife Service, Department of Environment & Science, K’gari, Australia
| | - Sankar Subramanian
- School of Science, Technology & Engineering, University of the Sunshine Coast, 1 Moreton Parade, Petrie, Queensland, Australia
- Centre for Bioinnovation, University of the Sunshine Coast, 90 Sippy Downs Drive, Sippy Downs, Queensland, Australia
| | - Zachary A Szpiech
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA, USA
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Betschart RO, Riccio C, Aguilera-Garcia D, Blankenberg S, Guo L, Moch H, Seidl D, Solleder H, Thalén F, Thiéry A, Twerenbold R, Zeller T, Zoche M, Ziegler A. Biostatistical Aspects of Whole Genome Sequencing Studies: Preprocessing and Quality Control. Biom J 2024; 66:e202300278. [PMID: 38988195 DOI: 10.1002/bimj.202300278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/21/2024] [Accepted: 05/14/2024] [Indexed: 07/12/2024]
Abstract
Rapid advances in high-throughput DNA sequencing technologies have enabled large-scale whole genome sequencing (WGS) studies. Before performing association analysis between phenotypes and genotypes, preprocessing and quality control (QC) of the raw sequence data need to be performed. Because many biostatisticians have not been working with WGS data so far, we first sketch Illumina's short-read sequencing technology. Second, we explain the general preprocessing pipeline for WGS studies. Third, we provide an overview of important QC metrics, which are applied to WGS data: on the raw data, after mapping and alignment, after variant calling, and after multisample variant calling. Fourth, we illustrate the QC with the data from the GENEtic SequencIng Study Hamburg-Davos (GENESIS-HD), a study involving more than 9000 human whole genomes. All samples were sequenced on an Illumina NovaSeq 6000 with an average coverage of 35× using a PCR-free protocol. For QC, one genome in a bottle (GIAB) trio was sequenced in four replicates, and one GIAB sample was successfully sequenced 70 times in different runs. Fifth, we provide empirical data on the compression of raw data using the DRAGEN original read archive (ORA). The most important quality metrics in the application were genetic similarity, sample cross-contamination, deviations from the expected Het/Hom ratio, relatedness, and coverage. The compression ratio of the raw files using DRAGEN ORA was 5.6:1, and compression time was linear by genome coverage. In summary, the preprocessing, joint calling, and QC of large WGS studies are feasible within a reasonable time, and efficient QC procedures are readily available.
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Affiliation(s)
| | | | - Domingo Aguilera-Garcia
- Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Stefan Blankenberg
- Cardio-CARE, Medizincampus Davos, Davos, Switzerland
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Linlin Guo
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Holger Moch
- Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Dagmar Seidl
- Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Hugo Solleder
- Cardio-CARE, Medizincampus Davos, Davos, Switzerland
| | - Felix Thalén
- Cardio-CARE, Medizincampus Davos, Davos, Switzerland
| | | | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Martin Zoche
- Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Andreas Ziegler
- Cardio-CARE, Medizincampus Davos, Davos, Switzerland
- Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Center for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
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Chille EE, Stephens TG, Misri D, Strand EL, Putnam HM, Bhattacharya D. Gene expression response under thermal stress in two Hawaiian corals is dominated by ploidy and genotype. Ecol Evol 2024; 14:e70037. [PMID: 39050655 PMCID: PMC11268936 DOI: 10.1002/ece3.70037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 06/03/2024] [Accepted: 07/09/2024] [Indexed: 07/27/2024] Open
Abstract
Transcriptome data are frequently used to investigate coral bleaching; however, the factors controlling gene expression in natural populations of these species are poorly understood. We studied two corals, Montipora capitata and Pocillopora acuta, that inhabit the sheltered Kāne'ohe Bay, Hawai'i. M. capitata colonies in the bay are outbreeding diploids, whereas P. acuta is a mixture of clonal diploids and triploids. Populations were sampled from six reefs and subjected to either control (no stress), thermal stress, pH stress, or combined pH and thermal stress treatments. RNA-seq data were generated to test two competing hypotheses: (1) gene expression is largely independent of genotype, reflecting a shared treatment-driven response (TDE) or, (2) genotype dominates gene expression, regardless of treatment (GDE). Our results strongly support the GDE model, even under severe stress. We suggest that post-transcriptional processes (e.g., control of translation, protein turnover) modify the signal from the transcriptome, and may underlie the observed differences in coral bleaching sensitivity via the downstream proteome and metabolome.
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Affiliation(s)
- Erin E. Chille
- Department of Biochemistry and MicrobiologyRutgers UniversityNew BrunswickNew JerseyUSA
| | - Timothy G. Stephens
- Department of Biochemistry and MicrobiologyRutgers UniversityNew BrunswickNew JerseyUSA
| | - Deeksha Misri
- Department of GeneticsRutgers UniversityNew BrunswickNew JerseyUSA
| | - Emma L. Strand
- Department of Biological SciencesUniversity of Rhode IslandKingstonRhode IslandUSA
- Gloucester Marine Genomics InstituteGloucesterMassachusettsUSA
| | - Hollie M. Putnam
- Department of Biological SciencesUniversity of Rhode IslandKingstonRhode IslandUSA
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Kizilkaya HS, Sørensen KV, Madsen JS, Lindquist P, Douros JD, Bork-Jensen J, Berghella A, Gerlach PA, Gasbjerg LS, Mokrosiński J, Mowery SA, Knerr PJ, Finan B, Campbell JE, D'Alessio DA, Perez-Tilve D, Faas F, Mathiasen S, Rungby J, Sørensen HT, Vaag A, Nielsen JS, Holm JC, Lauenborg J, Damm P, Pedersen O, Linneberg A, Hartmann B, Holst JJ, Hansen T, Wright SC, Lauschke VM, Grarup N, Hauser AS, Rosenkilde MM. Characterization of genetic variants of GIPR reveals a contribution of β-arrestin to metabolic phenotypes. Nat Metab 2024; 6:1268-1281. [PMID: 38871982 PMCID: PMC11272584 DOI: 10.1038/s42255-024-01061-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/02/2024] [Indexed: 06/15/2024]
Abstract
Incretin-based therapies are highly successful in combatting obesity and type 2 diabetes1. Yet both activation and inhibition of the glucose-dependent insulinotropic polypeptide (GIP) receptor (GIPR) in combination with glucagon-like peptide-1 (GLP-1) receptor (GLP-1R) activation have resulted in similar clinical outcomes, as demonstrated by the GIPR-GLP-1R co-agonist tirzepatide2 and AMG-133 (ref. 3) combining GIPR antagonism with GLP-1R agonism. This underlines the importance of a better understanding of the GIP system. Here we show the necessity of β-arrestin recruitment for GIPR function, by combining in vitro pharmacological characterization of 47 GIPR variants with burden testing of clinical phenotypes and in vivo studies. Burden testing of variants with distinct ligand-binding capacity, Gs activation (cyclic adenosine monophosphate production) and β-arrestin 2 recruitment and internalization shows that unlike variants solely impaired in Gs signalling, variants impaired in both Gs and β-arrestin 2 recruitment contribute to lower adiposity-related traits. Endosomal Gs-mediated signalling of the variants shows a β-arrestin dependency and genetic ablation of β-arrestin 2 impairs cyclic adenosine monophosphate production and decreases GIP efficacy on glucose control in male mice. This study highlights a crucial impact of β-arrestins in regulating GIPR signalling and overall preservation of biological activity that may facilitate new developments in therapeutic targeting of the GIPR system.
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Affiliation(s)
- Hüsün S Kizilkaya
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kimmie V Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jakob S Madsen
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Peter Lindquist
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan D Douros
- Novo Nordisk Research Center Indianapolis, Indianapolis, IN, USA
- Indiana Biosciences Research Institute Indianapolis, Indianapolis, IN, USA
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alessandro Berghella
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
- Department of Bioscience and Agro-Food and Environmental Technology, University of Teramo, Teramo, Italy
| | - Peter A Gerlach
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lærke S Gasbjerg
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Stephanie A Mowery
- Novo Nordisk Research Center Indianapolis, Indianapolis, IN, USA
- Indiana Biosciences Research Institute Indianapolis, Indianapolis, IN, USA
| | - Patrick J Knerr
- Novo Nordisk Research Center Indianapolis, Indianapolis, IN, USA
- Indiana Biosciences Research Institute Indianapolis, Indianapolis, IN, USA
| | - Brian Finan
- Novo Nordisk Research Center Indianapolis, Indianapolis, IN, USA
- Eli Lilly and Company, Indianapolis, IN, USA
| | - Jonathan E Campbell
- Duke Molecular Physiology Institute, Duke University Durham, Durham, NC, USA
| | - David A D'Alessio
- Duke Molecular Physiology Institute, Duke University Durham, Durham, NC, USA
| | - Diego Perez-Tilve
- Department of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Felix Faas
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Signe Mathiasen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jørgen Rungby
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
- Department of Epidemiology, Boston University, Boston, MA, USA
| | - Allan Vaag
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - Jens S Nielsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jens-Christian Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Children's Obesity Clinic, accredited European Centre for Obesity Management, Department of Pediatrics, Holbæk Hospital, Holbæk, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeannet Lauenborg
- Department of Obstetrics and Gynecology, Copenhagen University Hospital Herlev, Herlev, Denmark
| | - Peter Damm
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark
- Department of Obstetrics, Rigshospitalet, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Metabolic Research, Department of Medicine, Gentofte Hospital, Copenhagen, Denmark
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Bolette Hartmann
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens J Holst
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shane C Wright
- Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Volker M Lauschke
- Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Alexander S Hauser
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.
| | - Mette M Rosenkilde
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Hop PJ, Lai D, Keagle PJ, Baron DM, Kenna BJ, Kooyman M, Shankaracharya, Halter C, Straniero L, Asselta R, Bonvegna S, Soto-Beasley AI, Wszolek ZK, Uitti RJ, Isaias IU, Pezzoli G, Ticozzi N, Ross OA, Veldink JH, Foroud TM, Kenna KP, Landers JE. Systematic rare variant analyses identify RAB32 as a susceptibility gene for familial Parkinson's disease. Nat Genet 2024; 56:1371-1376. [PMID: 38858457 PMCID: PMC11250361 DOI: 10.1038/s41588-024-01787-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 05/06/2024] [Indexed: 06/12/2024]
Abstract
Despite substantial progress, causal variants are identified only for a minority of familial Parkinson's disease (PD) cases, leaving high-risk pathogenic variants unidentified1,2. To identify such variants, we uniformly processed exome sequencing data of 2,184 index familial PD cases and 69,775 controls. Exome-wide analyses converged on RAB32 as a novel PD gene identifying c.213C > G/p.S71R as a high-risk variant presenting in ~0.7% of familial PD cases while observed in only 0.004% of controls (odds ratio of 65.5). This variant was confirmed in all cases via Sanger sequencing and segregated with PD in three families. RAB32 encodes a small GTPase known to interact with LRRK2 (refs. 3,4). Functional analyses showed that RAB32 S71R increases LRRK2 kinase activity, as indicated by increased autophosphorylation of LRRK2 S1292. Here our results implicate mutant RAB32 in a key pathological mechanism in PD-LRRK2 kinase activity5-7-and thus provide novel insights into the mechanistic connections between RAB family biology, LRRK2 and PD risk.
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Affiliation(s)
- Paul J Hop
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Pamela J Keagle
- Department of Neurology, UMass Chan Medical School, Worcester, MA, USA
| | - Desiree M Baron
- Department of Neurology, UMass Chan Medical School, Worcester, MA, USA
| | - Brendan J Kenna
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Maarten Kooyman
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Shankaracharya
- Department of Neurology, UMass Chan Medical School, Worcester, MA, USA
| | - Cheryl Halter
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Letizia Straniero
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Rosanna Asselta
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | | | | | | | - Ryan J Uitti
- Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | - Ioannis Ugo Isaias
- Parkinson Institute, ASST Gaetano Pini-CTO, Milan, Italy
- Department of Neurology, University Hospital of Würzburg and Julius Maximilian University of Würzburg, Würzburg, Germany
| | - Gianni Pezzoli
- Parkinson Institute, ASST Gaetano Pini-CTO, Milan, Italy
- Fondazione Grigioni per il Morbo di Parkinson, Milan, Italy
| | - Nicola Ticozzi
- Department of Neurology-Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano IRCCS, Milan, Italy
- Department of Pathophysiology and Transplantation, 'Dino Ferrari' Center, Università degli Studi di Milano, Milan, Italy
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, USA
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kevin P Kenna
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - John E Landers
- Department of Neurology, UMass Chan Medical School, Worcester, MA, USA.
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Padilla-Iglesias C, Blanco-Portillo J, Pricop B, Ioannidis AG, Bickel B, Manica A, Vinicius L, Migliano AB. Deep history of cultural and linguistic evolution among Central African hunter-gatherers. Nat Hum Behav 2024; 8:1263-1275. [PMID: 38802540 PMCID: PMC11272592 DOI: 10.1038/s41562-024-01891-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 04/18/2024] [Indexed: 05/29/2024]
Abstract
Human evolutionary history in Central Africa reflects a deep history of population connectivity. However, Central African hunter-gatherers (CAHGs) currently speak languages acquired from their neighbouring farmers. Hence it remains unclear which aspects of CAHG cultural diversity results from long-term evolution preceding agriculture and which reflect borrowing from farmers. On the basis of musical instruments, foraging tools, specialized vocabulary and genome-wide data from ten CAHG populations, we reveal evidence of large-scale cultural interconnectivity among CAHGs before and after the Bantu expansion. We also show that the distribution of hunter-gatherer musical instruments correlates with the oldest genomic segments in our sample predating farming. Music-related words are widely shared between western and eastern groups and likely precede the borrowing of Bantu languages. In contrast, subsistence tools are less frequently exchanged and may result from adaptation to local ecologies. We conclude that CAHG material culture and specialized lexicon reflect a long evolutionary history in Central Africa.
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Affiliation(s)
- Cecilia Padilla-Iglesias
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.
| | | | - Bogdan Pricop
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
| | | | - Balthasar Bickel
- Department of Comparative Language Science, University of Zurich, Zurich, Switzerland
- Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Lucio Vinicius
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland
| | - Andrea Bamberg Migliano
- Human Evolutionary Ecology Group, Institute of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.
- Center for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland.
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Azcona F, Karlau A, Trigo P, Molina A, Demyda-Peyrás S. Genomic tools for early selection among Thoroughbreds and Polo Argentino horses for practicing polo. J Equine Vet Sci 2024; 138:105098. [PMID: 38763367 DOI: 10.1016/j.jevs.2024.105098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/28/2024] [Accepted: 05/16/2024] [Indexed: 05/21/2024]
Abstract
The Polo Argentino (PA) horse is a recognized breed, developed originally by mixing crossbred and Thoroughbred (TB) horses to play polo. Early PA selection is difficult due to unreliable performance estimations. This study investigated the usefulness of genomic markers previously linked to morphological and functional traits as a tool for the early selection of PA. To this, we genotyped 520 PA and 30 TB horses using the Equine GGPArray (Illumina, n = 71,778 SNPs). Analyses included a genetic characterization of six genetic markers associated with behavioral (DRD4), muscular development (MSTN), and body size (LCORL, HMGA6, ZFAT, and LASP1) genes. Genetic differences in the DRD4, MSTN, and LCORL SNP were found between the two breeds, in the last two FST index between breeds was 0.13 and 0.6, respectively (p < 0.01). In DRD4, G allele was the more prevalent in PA (0.56 vs 0.45 in TB, p < 0.05), but no differences were observed between the genotypes associated with phenotypes. In MSTN, heterozygous genotypes were the most common in PA (48 %), with a significant decrease in AA (Hardy-Weinberg p < 0.05), suggesting a negative selection against it in polo horses. In body size, HMGA2 was monomorphic in all horses, while ZFAT and LASP1 SNP showed higher variability. Interestingly, 99 % of PA showed a TT genotype in LCORL (only 66 % in TB), demonstrating selection for smaller horses. Our results suggest that empirical selection in PA has generated an incipient genomic differentiation in discrete traits which could be used as a marker-assisted selection tool for early selection of polo horses.
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Affiliation(s)
- F Azcona
- Cátedra de Medicina Equina, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, calle 60 y 118 s/n, 1900-La Plata, Argentina; CONICET, CCT La Plata, 1900-La Plata, Argentina; Cátedra de Genética de Poblaciones y Mejoramiento Animal, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, calle 60 y 118 s/n, 1900-La Plata, Argentina.
| | - A Karlau
- CONICET, CCT La Plata, 1900-La Plata, Argentina; Cátedra de Genética de Poblaciones y Mejoramiento Animal, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, calle 60 y 118 s/n, 1900-La Plata, Argentina
| | - P Trigo
- CONICET, CCT La Plata, 1900-La Plata, Argentina; Cátedra de Producción Equina, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, calle 60 y 118 s/n, 1900-La Plata, Argentina
| | - A Molina
- Departamento de Genética, Universidad de Córdoba, CN IV KM 396 Edificio Gregor Mendel, 14007-Córdoba, España
| | - S Demyda-Peyrás
- Departamento de Genética, Universidad de Córdoba, CN IV KM 396 Edificio Gregor Mendel, 14007-Córdoba, España
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Trinder M, Cermakova L, Ruel I, Baass A, Paquette M, Wang J, Kennedy BA, Hegele RA, Genest J, Brunham LR. Influence of Polygenic Background on the Clinical Presentation of Familial Hypercholesterolemia. Arterioscler Thromb Vasc Biol 2024; 44:1683-1693. [PMID: 38779854 PMCID: PMC11208056 DOI: 10.1161/atvbaha.123.320287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 05/08/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Heterozygous familial hypercholesterolemia (FH) is among the most common genetic conditions worldwide that affects ≈ 1 in 300 individuals. FH is characterized by increased levels of low-density lipoprotein cholesterol (LDL-C) and increased risk of coronary artery disease (CAD), but there is a wide spectrum of severity within the FH population. This variability in expression is incompletely explained by known risk factors. We hypothesized that genome-wide genetic influences, as represented by polygenic risk scores (PRSs) for cardiometabolic traits, would influence the phenotypic severity of FH. METHODS We studied individuals with clinically diagnosed FH (n=1123) from the FH Canada National Registry, as well as individuals with genetically identified FH from the UK Biobank (n=723). For all individuals, we used genome-wide gene array data to calculate PRSs for CAD, LDL-C, lipoprotein(a), and other cardiometabolic traits. We compared the distribution of PRSs in individuals with clinically diagnosed FH, genetically diagnosed FH, and non-FH controls and examined the association of the PRSs with the risk of atherosclerotic cardiovascular disease. RESULTS Individuals with clinically diagnosed FH had higher levels of LDL-C, and the incidence of atherosclerotic cardiovascular disease was higher in individuals with clinically diagnosed compared with genetically identified FH. Individuals with clinically diagnosed FH displayed enrichment for higher PRSs for CAD, LDL-C, and lipoprotein(a) but not for other cardiometabolic risk factors. The CAD PRS was associated with a risk of atherosclerotic cardiovascular disease among individuals with an FH-causing genetic variant. CONCLUSIONS Genetic background, as expressed by genome-wide PRSs for CAD, LDL-C, and lipoprotein(a), influences the phenotypic severity of FH, expanding our understanding of the determinants that contribute to the variable expressivity of FH. A PRS for CAD may aid in risk prediction among individuals with FH.
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Affiliation(s)
- Mark Trinder
- Centre for Heart Lung Innovation, University of British Columbia and St. Paul’s Hospital, Vancouver, Canada (M.T., L.C., L.R.B.)
| | - Lubomira Cermakova
- Centre for Heart Lung Innovation, University of British Columbia and St. Paul’s Hospital, Vancouver, Canada (M.T., L.C., L.R.B.)
| | - Isabelle Ruel
- Research Institute of the McGill University Health Centre, Montreal, Canada (I.R., J.G.)
| | - Alexis Baass
- Montreal Clinical Research Institute, Canada (A.B., M.P.)
| | | | - Jian Wang
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Robarts Research Institute, Western University, London, Canada (J.W., B.A.K., R.A.H.)
| | - Brooke A. Kennedy
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Robarts Research Institute, Western University, London, Canada (J.W., B.A.K., R.A.H.)
| | - Robert A. Hegele
- Departments of Medicine and Biochemistry, Schulich School of Medicine and Robarts Research Institute, Western University, London, Canada (J.W., B.A.K., R.A.H.)
| | - Jacques Genest
- Research Institute of the McGill University Health Centre, Montreal, Canada (I.R., J.G.)
| | - Liam R. Brunham
- Centre for Heart Lung Innovation, University of British Columbia and St. Paul’s Hospital, Vancouver, Canada (M.T., L.C., L.R.B.)
- Departments of Medicine and Medical Genetics, University of British Columbia, Vancouver, Canada (L.R.B.)
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Palombo F, Vaisfeld A, Tropeano VC, Ormanbekova D, Bacchi I, Fiorini C, Peruzzi A, Morandi L, Liguori R, Carelli V, Rizzo G. Two more families supporting the existence of monogenic spinocerebellar ataxia 48. Neurogenetics 2024; 25:277-280. [PMID: 38625442 DOI: 10.1007/s10048-024-00758-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 04/09/2024] [Indexed: 04/17/2024]
Abstract
The reduced penetrance of TBP intermediate alleles and the recently proposed possible digenic TBP/STUB1 inheritance raised questions on the possible mechanism involved opening a debate on the existence of SCA48 as a monogenic disorder. We here report clinical and genetic results of two apparently unrelated patients carrying the same STUB1 variant(c.244G > T;p.Asp82Tyr) with normal TBP alleles and a clinical picture fully resembling SCA48, including cerebellar ataxia, dysarthria and mild cognitive impairment. This report provides supportive evidence that this specific ataxia can also occur as a monogenic disease, considering classical TBP allelic ranges.
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Affiliation(s)
- Flavia Palombo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Via Altura 3, Bologna, 40139, Italy.
| | - Alessandro Vaisfeld
- IRCCS Azienda Ospedaliero-Universitaria Policlinico Sant'Orsola-Malpighi, Medical Genetics Unit, Bologna, Italy
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Valentina Concetta Tropeano
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Via Altura 3, Bologna, 40139, Italy
| | - Danara Ormanbekova
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Via Altura 3, Bologna, 40139, Italy
| | - Isabelle Bacchi
- IRCCS Azienda Ospedaliero-Universitaria Policlinico Sant'Orsola-Malpighi, Medical Genetics Unit, Bologna, Italy
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Claudio Fiorini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Via Altura 3, Bologna, 40139, Italy
| | - Adelaide Peruzzi
- IRCCS Azienda Ospedaliero-Universitaria Policlinico Sant'Orsola-Malpighi, Medical Genetics Unit, Bologna, Italy
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Luca Morandi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Rocco Liguori
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Valerio Carelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Via Altura 3, Bologna, 40139, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giovanni Rizzo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
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Choi YJ, Fischer K, Méité A, Koudou BG, Fischer PU, Mitreva M. Distinguishing recrudescence from reinfection in lymphatic filariasis. EBioMedicine 2024; 105:105188. [PMID: 38848649 PMCID: PMC11200287 DOI: 10.1016/j.ebiom.2024.105188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND The Global Program to Eliminate Lymphatic Filariasis (GPELF) is the largest public health program based on mass drug administration (MDA). Despite decades of MDA, ongoing transmission in some countries remains a challenge. To optimise interventions, it is critical to differentiate between recrudescence and new infections. Since adult filariae are inaccessible in humans, deriving a method that relies on the offspring microfilariae (mf) is necessary. METHODS We developed a genome amplification and kinship analysis-based approach using Brugia malayi samples from gerbils, and applied it to analyse Wuchereria bancrofti mf from humans in Côte d'Ivoire. We examined the pre-treatment genetic diversity in 269 mf collected from 18 participants, and further analysed 1-year post-treatment samples of 74 mf from 4 participants. Hemizygosity of the male X-chromosome allowed for direct inference of haplotypes, facilitating robust maternal parentage inference. To enrich parasite DNA from samples contaminated with host DNA, a whole-exome capture panel was created for W. bancrofti. FINDINGS By reconstructing and temporally tracking sibling relationships across pre- and post-treatment samples, we differentiated between new and established maternal families, suggesting reinfection in one participant and recrudescence in three participants. The estimated number of reproductively active adult females ranged between 3 and 11 in the studied participants. Population structure analysis revealed genetically distinct parasites in Côte d'Ivoire compared to samples from other countries. Exome capture identified protein-coding variants with ∼95% genotype concordance rate. INTERPRETATION We have generated resources to facilitate the development of molecular genetic tools that can estimate adult worm burdens and monitor parasite populations, thus providing essential information for the successful implementation of GPELF. FUNDING This work was financially supported by the Bill and Melinda Gates Foundation (https://www.gatesfoundation.org) under grant OPP1201530 (Co-PIs PUF & Gary J. Weil). B. malayi parasite material was generated with support of the Foundation for Barnes Jewish Hospital (PUF). In addition, the development of computational methods was supported by the National Institutes of Health under grants AI144161 (MM) and AI146353 (MM). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Affiliation(s)
- Young-Jun Choi
- Infectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Kerstin Fischer
- Infectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Aboulaye Méité
- Programme National de la Lutte Contre la Schistosomiase, Les Geohelminthiases et la Filariose Lymphatique, Abidjan, Côte d'Ivoire
| | - Benjamin G Koudou
- Centre Suisse de Recherche Scientifique en Côte d'Ivoire, Abidjan, Côte d'Ivoire; Université Nangui Abrogoua, Abidjan, Côte d'Ivoire
| | - Peter U Fischer
- Infectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Makedonka Mitreva
- Infectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO, USA.
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45
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Lin WY. Detecting gene-environment interactions from multiple continuous traits. Bioinformatics 2024; 40:btae419. [PMID: 38917408 PMCID: PMC11254352 DOI: 10.1093/bioinformatics/btae419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 06/17/2024] [Accepted: 06/24/2024] [Indexed: 06/27/2024] Open
Abstract
MOTIVATION Genetic variants present differential effects on humans according to various environmental exposures, the so-called "gene-environment interactions" (GxE). Many diseases can be diagnosed with multiple traits, such as obesity, diabetes, and dyslipidemia. I developed a multivariate scale test (MST) for detecting the GxE of a disease with several continuous traits. Given a significant MST result, I continued to search for which trait and which E enriched the GxE signals. Simulation studies were performed to compare MST with the univariate scale test (UST). RESULTS MST can gain more power than UST because of (1) integrating more traits with GxE information and (2) the less harsh penalty on multiple testing. However, if only few traits account for GxE, MST may lose power due to aggregating non-informative traits into the test statistic. As an example, MST was applied to a discovery set of 93 708 Taiwan Biobank (TWB) individuals and a replication set of 25 200 TWB individuals. From among 2 570 487 SNPs with minor allele frequencies ≥5%, MST identified 18 independent variance quantitative trait loci (P < 2.4E-9 in the discovery cohort and P < 2.8E-5 in the replication cohort) and 41 GxE signals (P < .00027) based on eight trait domains (including 29 traits). AVAILABILITY AND IMPLEMENTATION https://github.com/WanYuLin/Multivariate-scale-test-MST.
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Affiliation(s)
- Wan-Yu Lin
- Institute of Health Data Analytics and Statistics, College of Public Health, National Taiwan University, Taipei 100, Taiwan
- Master of Public Health Degree Program, College of Public Health, National Taiwan University, Taipei 100, Taiwan
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46
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Aktürk Ş, Mapelli I, Güler MN, Gürün K, Katırcıoğlu B, Vural KB, Sağlıcan E, Çetin M, Yaka R, Sürer E, Atağ G, Çokoğlu SS, Sevkar A, Altınışık NE, Koptekin D, Somel M. Benchmarking kinship estimation tools for ancient genomes using pedigree simulations. Mol Ecol Resour 2024; 24:e13960. [PMID: 38676702 DOI: 10.1111/1755-0998.13960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 03/19/2024] [Accepted: 03/28/2024] [Indexed: 04/29/2024]
Abstract
There is growing interest in uncovering genetic kinship patterns in past societies using low-coverage palaeogenomes. Here, we benchmark four tools for kinship estimation with such data: lcMLkin, NgsRelate, KIN, and READ, which differ in their input, IBD estimation methods, and statistical approaches. We used pedigree and ancient genome sequence simulations to evaluate these tools when only a limited number (1 to 50 K, with minor allele frequency ≥0.01) of shared SNPs are available. The performance of all four tools was comparable using ≥20 K SNPs. We found that first-degree related pairs can be accurately classified even with 1 K SNPs, with 85% F1 scores using READ and 96% using NgsRelate or lcMLkin. Distinguishing third-degree relatives from unrelated pairs or second-degree relatives was also possible with high accuracy (F1 > 90%) with 5 K SNPs using NgsRelate and lcMLkin, while READ and KIN showed lower success (69 and 79% respectively). Meanwhile, noise in population allele frequencies and inbreeding (first-cousin mating) led to deviations in kinship coefficients, with different sensitivities across tools. We conclude that using multiple tools in parallel might be an effective approach to achieve robust estimates on ultra-low-coverage genomes.
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Affiliation(s)
- Şevval Aktürk
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Igor Mapelli
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Merve N Güler
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Kanat Gürün
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Büşra Katırcıoğlu
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Kıvılcım Başak Vural
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Ekin Sağlıcan
- Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
| | - Mehmet Çetin
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Reyhan Yaka
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Elif Sürer
- Department of Modeling and Simulation, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
| | - Gözde Atağ
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Sevim Seda Çokoğlu
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
| | - Arda Sevkar
- Department of Anthropology, Hacettepe University, Ankara, Turkey
| | - N Ezgi Altınışık
- Department of Anthropology, Hacettepe University, Ankara, Turkey
| | - Dilek Koptekin
- Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
| | - Mehmet Somel
- Department of Biological Sciences, Middle East Technical University, Ankara, Turkey
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Wertenbroek R, Hofmeister RJ, Xenarios I, Thoma Y, Delaneau O. Improving population scale statistical phasing with whole-genome sequencing data. PLoS Genet 2024; 20:e1011092. [PMID: 38959269 PMCID: PMC11251608 DOI: 10.1371/journal.pgen.1011092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 07/16/2024] [Accepted: 06/11/2024] [Indexed: 07/05/2024] Open
Abstract
Haplotype estimation, or phasing, has gained significant traction in large-scale projects due to its valuable contributions to population genetics, variant analysis, and the creation of reference panels for imputation and phasing of new samples. To scale with the growing number of samples, haplotype estimation methods designed for population scale rely on highly optimized statistical models to phase genotype data, and usually ignore read-level information. Statistical methods excel in resolving common variants, however, they still struggle at rare variants due to the lack of statistical information. In this study we introduce SAPPHIRE, a new method that leverages whole-genome sequencing data to enhance the precision of haplotype calls produced by statistical phasing. SAPPHIRE achieves this by refining haplotype estimates through the realignment of sequencing reads, particularly targeting low-confidence phase calls. Our findings demonstrate that SAPPHIRE significantly enhances the accuracy of haplotypes obtained from state of the art methods and also provides the subset of phase calls that are validated by sequencing reads. Finally, we show that our method scales to large data sets by its successful application to the extensive 3.6 Petabytes of sequencing data of the last UK Biobank 200,031 sample release.
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Affiliation(s)
- Rick Wertenbroek
- University of Lausanne, Lausanne, Vaud, Switzerland
- School of Engineering and Management Vaud (HEIG-VD), HES-SO University of Applied Sciences and Arts Western Switzerland, Yverdon-les-Bains, Vaud, Switzerland
| | | | | | - Yann Thoma
- School of Engineering and Management Vaud (HEIG-VD), HES-SO University of Applied Sciences and Arts Western Switzerland, Yverdon-les-Bains, Vaud, Switzerland
| | - Olivier Delaneau
- Regeneron Genetics Center, Tarrytown, New York, United States of America
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48
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Pottinger TD, Motelow JE, Povysil G, Moreno CAM, Ren Z, Phatnani H, Aitman TJ, Santoyo-Lopez J, Mitsumoto H, Goldstein DB, Harms MB. Rare variant analyses validate known ALS genes in a multi-ethnic population and identifies ANTXR2 as a candidate in PLS. BMC Genomics 2024; 25:651. [PMID: 38951798 PMCID: PMC11218304 DOI: 10.1186/s12864-024-10538-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 06/17/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease affecting over 300,000 people worldwide. It is characterized by the progressive decline of the nervous system that leads to the weakening of muscles which impacts physical function. Approximately, 15% of individuals diagnosed with ALS have a known genetic variant that contributes to their disease. As therapies that slow or prevent symptoms continue to develop, such as antisense oligonucleotides, it is important to discover novel genes that could be targets for treatment. Additionally, as cohorts continue to grow, performing analyses in ALS subtypes, such as primary lateral sclerosis (PLS), becomes possible due to an increase in power. These analyses could highlight novel pathways in disease manifestation. METHODS Building on our previous discoveries using rare variant association analyses, we conducted rare variant burden testing on a substantially larger multi-ethnic cohort of 6,970 ALS patients, 166 PLS patients, and 22,524 controls. We used intolerant domain percentiles based on sub-region Residual Variation Intolerance Score (subRVIS) that have been described previously in conjunction with gene based collapsing approaches to conduct burden testing to identify genes that associate with ALS and PLS. RESULTS A gene based collapsing model showed significant associations with SOD1, TARDBP, and TBK1 (OR = 19.18, p = 3.67 × 10-39; OR = 4.73, p = 2 × 10-10; OR = 2.3, p = 7.49 × 10-9, respectively). These genes have been previously associated with ALS. Additionally, a significant novel control enriched gene, ALKBH3 (p = 4.88 × 10-7), was protective for ALS in this model. An intolerant domain-based collapsing model showed a significant improvement in identifying regions in TARDBP that associated with ALS (OR = 10.08, p = 3.62 × 10-16). Our PLS protein truncating variant collapsing analysis demonstrated significant case enrichment in ANTXR2 (p = 8.38 × 10-6). CONCLUSIONS In a large multi-ethnic cohort of 6,970 ALS patients, collapsing analyses validated known ALS genes and identified a novel potentially protective gene, ALKBH3. A first-ever analysis in 166 patients with PLS found a candidate association with loss-of-function mutations in ANTXR2.
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Affiliation(s)
- Tess D Pottinger
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Internal Medicine, Columbia University Irving Medical Center, New York, NY, USA.
- Division of General Medicine, Department of Medicine, 622 West 168 , New York, NY, 10032, USA.
| | - Joshua E Motelow
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Gundula Povysil
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Zhong Ren
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Hemali Phatnani
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Center for Motor Neuron Biology and Disease, Columbia University Irving Medical Center, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | - Timothy J Aitman
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland, UK
| | | | - Hiroshi Mitsumoto
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Matthew B Harms
- Institute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Center for Motor Neuron Biology and Disease, Columbia University Irving Medical Center, New York, NY, USA
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49
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Talenti A, Wilkinson T, Cook EA, Hemmink JD, Paxton E, Mutinda M, Ngulu SD, Jayaraman S, Bishop RP, Obara I, Hourlier T, Garcia Giron C, Martin FJ, Labuschagne M, Atimnedi P, Nanteza A, Keyyu JD, Mramba F, Caron A, Cornelis D, Chardonnet P, Fyumagwa R, Lembo T, Auty HK, Michaux J, Smitz N, Toye P, Robert C, Prendergast JGD, Morrison LJ. Continent-wide genomic analysis of the African buffalo (Syncerus caffer). Commun Biol 2024; 7:792. [PMID: 38951693 PMCID: PMC11217449 DOI: 10.1038/s42003-024-06481-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 06/21/2024] [Indexed: 07/03/2024] Open
Abstract
The African buffalo (Syncerus caffer) is a wild bovid with a historical distribution across much of sub-Saharan Africa. Genomic analysis can provide insights into the evolutionary history of the species, and the key selective pressures shaping populations, including assessment of population level differentiation, population fragmentation, and population genetic structure. In this study we generated the highest quality de novo genome assembly (2.65 Gb, scaffold N50 69.17 Mb) of African buffalo to date, and sequenced a further 195 genomes from across the species distribution. Principal component and admixture analyses provided little support for the currently described four subspecies. Estimating Effective Migration Surfaces analysis suggested that geographical barriers have played a significant role in shaping gene flow and the population structure. Estimated effective population sizes indicated a substantial drop occurring in all populations 5-10,000 years ago, coinciding with the increase in human populations. Finally, signatures of selection were enriched for key genes associated with the immune response, suggesting infectious disease exert a substantial selective pressure upon the African buffalo. These findings have important implications for understanding bovid evolution, buffalo conservation and population management.
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Affiliation(s)
- Andrea Talenti
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, EH25 9RG, United Kingdom
| | - Toby Wilkinson
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, EH25 9RG, United Kingdom
| | - Elizabeth A Cook
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
- Centre for Tropical Livestock Genetics and Health (CTLGH), ILRI Kenya, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Johanneke D Hemmink
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, EH25 9RG, United Kingdom
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
- Centre for Tropical Livestock Genetics and Health (CTLGH), ILRI Kenya, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Edith Paxton
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
| | - Matthew Mutinda
- Kenya Wildlife Service, P.O. Box 40241, Nairobi, 00100, Kenya
| | | | - Siddharth Jayaraman
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
| | - Richard P Bishop
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Isaiah Obara
- Institute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163, Berlin, Germany
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
| | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, United Kingdom
| | | | | | - Anne Nanteza
- College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
| | - Julius D Keyyu
- Tanzania Wildlife Research Institute, Box 661, Arusha, Tanzania
| | - Furaha Mramba
- Vector and Vector-Borne Diseases Institute, Tanga, Tanzania
| | - Alexandre Caron
- ASTRE, University of Montpellier (UMR), CIRAD, 34090, Montpellier, France
- CIRAD, UMR ASTRE, RP-PCP, Maputo, 01009, Mozambique
- Faculdade Veterinaria, Universidade Eduardo Mondlan, Maputo, Mozambique
| | - Daniel Cornelis
- CIRAD, Forêts et Sociétés, 34398, Montpellier, France
- Forêts et Sociétés, University of Montpellier, CIRAD, 34090, Montpellier, France
| | | | - Robert Fyumagwa
- Tanzania Wildlife Research Institute, Box 661, Arusha, Tanzania
| | - Tiziana Lembo
- School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Harriet K Auty
- School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Johan Michaux
- Laboratoire de Génétique de la Conservation, Institut de Botanique (Bat. 22), Université de Liège (Sart Tilman), Chemin de la Vallée 4, B4000, Liège, Belgium
| | - Nathalie Smitz
- Royal Museum for Central Africa (BopCo), Leuvensesteenweg 13, 3080, Tervuren, Belgium
| | - Philip Toye
- International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
- Centre for Tropical Livestock Genetics and Health (CTLGH), ILRI Kenya, P.O. Box 30709, Nairobi, 00100, Kenya
| | - Christelle Robert
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, EH25 9RG, United Kingdom
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, United Kingdom
| | - James G D Prendergast
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, EH25 9RG, United Kingdom
| | - Liam J Morrison
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom.
- Centre for Tropical Livestock Genetics and Health (CTLGH), Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, EH25 9RG, United Kingdom.
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50
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Lee Y, Jugessur A, Gjessing HK, Harris JR, Susser E, Magnus P, Aviv A. Effect of polygenic scores of telomere length alleles on telomere length in newborns and parents. Aging Cell 2024:e14241. [PMID: 38943263 DOI: 10.1111/acel.14241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 05/09/2024] [Accepted: 05/30/2024] [Indexed: 07/01/2024] Open
Abstract
In adults, polygenic scores (PGSs) of telomere length (TL) alleles explain about 4.5% of the variance in TL, as measured by quantitative polymerase chain reaction (qPCR). Yet, these PGSs strongly infer a causal role of telomeres in aging-related diseases. To better understand the determinants of TL through the lifespan, it is essential to examine to what extent these PGSs explain TL in newborns. This study investigates the effect of PGSs on TL in both newborns and their parents, with TL measured by Southern blotting and expressed in base-pairs (bp). Additionally, the study explores the impact of PGSs related to transmitted or non-transmitted alleles on TL in newborns. For parents and newborns, the PGS effects on TL were 172 bp (p = 2.03 × 10-15) and 161 bp (p = 3.06 × 10-8), explaining 6.6% and 5.2% of the TL variance, respectively. The strongest PGS effect was shown for maternally transmitted alleles in newborn girls, amounting to 214 bp (p = 3.77 × 10-6) and explaining 7.8% of the TL variance. The PGS effect of non-transmitted alleles was 56 bp (p = 0.0593) and explained 0.6% of the TL variance. Our findings highlight the importance of TL genetics in understanding early-life determinants of TL. They point to the potential utility of PGSs composed of TL alleles in identifying susceptibility to aging-related diseases from birth and reveal the presence of sexual dimorphism in the effect of TL alleles on TL in newborns. Finally, we attribute the higher TL variance explained by PGSs in our study to TL measurement by Southern blotting.
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Affiliation(s)
- Yunsung Lee
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Astanand Jugessur
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Håkon K Gjessing
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Jennifer R Harris
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ezra Susser
- Mailman School of Public Health, Columbia University, and New York State Psychiatric Institute, New York, New York, USA
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Abraham Aviv
- Center of Human Development and Aging, New Jersey Medical School, Rutgers University, Newark, New Jersey, USA
- Department of Pediatrics, New Jersey Medical School, Rutgers University, Newark, New Jersey, USA
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