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1. A rare variant in APOC3 is associated with plasma triglyceride and VLDL levels in Europeans.

Author

Timpson NJ, Walter K, Min JL, Tachmazidou I, Malerba G, Shin SY, Chen L, Futema M, Southam L, Iotchkova V, Cocca M, Huang J, Memari Y, McCarthy S, Danecek P, Muddyman D, Mangino M, Menni C, Perry JR, Ring SM, Gaye A, Dedoussis G, Farmaki AE, Burton P, Talmud PJ, Gambaro G, Spector TD, Smith GD, Durbin R, Richards JB, Humphries SE, Zeggini E, and Soranzo N

Subjects
Alternative Splicing, Child, Female, Gene Frequency, Humans, Lipoproteins, HDL blood, Male, Middle Aged, Polymorphism, Genetic, Twins genetics, White People, Alleles, Apolipoprotein C-III genetics, Lipoproteins, VLDL blood, Triglycerides blood
Abstract

The analysis of rich catalogues of genetic variation from population-based sequencing provides an opportunity to screen for functional effects. Here we report a rare variant in APOC3 (rs138326449-A, minor allele frequency ~0.25% (UK)) associated with plasma triglyceride (TG) levels (-1.43 s.d. (s.e.=0.27 per minor allele (P-value=8.0 × 10(-8))) discovered in 3,202 individuals with low read-depth, whole-genome sequence. We replicate this in 12,831 participants from five additional samples of Northern and Southern European origin (-1.0 s.d. (s.e.=0.173), P-value=7.32 × 10(-9)). This is consistent with an effect between 0.5 and 1.5 mmol l(-1) dependent on population. We show that a single predicted splice donor variant is responsible for association signals and is independent of known common variants. Analyses suggest an independent relationship between rs138326449 and high-density lipoprotein (HDL) levels. This represents one of the first examples of a rare, large effect variant identified from whole-genome sequencing at a population scale.

Published
2014
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2. De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome.

Author

Chen, Yuyang, Dawes, Ruebena, Kim, Hyung, Ljungdahl, Alicia, Stenton, Sarah, Walker, Susan, Lord, Jenny, Lemire, Gabrielle, Martin-Geary, Alexandra, Ganesh, Vijay, Ma, Jialan, Ellingford, Jamie, Delage, Erwan, DSouza, Elston, Dong, Shan, Adams, David, Allan, Kirsten, Bakshi, Madhura, Baldwin, Erin, Berger, Seth, Bernstein, Jonathan, Bhatnagar, Ishita, Blair, Ed, Brown, Natasha, Burrage, Lindsay, Chapman, Kimberly, Coman, David, Compton, Alison, Cunningham, Chloe, DSouza, Precilla, Danecek, Petr, Délot, Emmanuèle, Dias, Kerith-Rae, Elias, Ellen, Elmslie, Frances, Evans, Care-Anne, Ewans, Lisa, Ezell, Kimberly, Fraser, Jamie, Gallacher, Lyndon, Genetti, Casie, Goriely, Anne, Grant, Christina, Haack, Tobias, Higgs, Jenny, Hinch, Anjali, Hurles, Matthew, Kuechler, Alma, Lachlan, Katherine, Lalani, Seema, Lecoquierre, François, Leitão, Elsa, Fevre, Anna, Leventer, Richard, Liebelt, Jan, Lindsay, Sarah, Lockhart, Paul, Ma, Alan, Macnamara, Ellen, Mansour, Sahar, Maurer, Taylor, Mendez, Hector, Metcalfe, Kay, Montgomery, Stephen, Moosajee, Mariya, Nassogne, Marie-Cécile, Neumann, Serena, ODonoghue, Michael, OLeary, Melanie, Palmer, Elizabeth, Pattani, Nikhil, Phillips, John, Pitsava, Georgia, Pysar, Ryan, Rehm, Heidi, Reuter, Chloe, Revencu, Nicole, Riess, Angelika, Rius, Rocio, Rodan, Lance, Roscioli, Tony, Rosenfeld, Jill, Sachdev, Rani, Shaw-Smith, Charles, Simons, Cas, Sisodiya, Sanjay, Snell, Penny, St Clair, Laura, Stark, Zornitza, Stewart, Helen, Tan, Tiong, Tan, Natalie, Temple, Suzanna, Thorburn, David, Tifft, Cynthia, Uebergang, Eloise, VanNoy, Grace, Vasudevan, Pradeep, Vilain, Eric, and Viskochil, David

Subjects
Humans, RNA, Small Nuclear, Neurodevelopmental Disorders, Female, Male, Brain, Heterozygote, Alleles, Syndrome, Spliceosomes, Animals
Abstract

Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes1. Large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here we identify the non-coding RNA RNU4-2 as a syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome2. We identify an 18 base pair region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and stem III) that is severely depleted of variation in the general population, but in which we identify heterozygous variants in 115 individuals with NDD. Most individuals (77.4%) have the same highly recurrent single base insertion (n.64_65insT). In 54 individuals in whom it could be determined, the de novo variants were all on the maternal allele. We demonstrate that RNU4-2 is highly expressed in the developing human brain, in contrast to RNU4-1 and other U4 homologues. Using RNA sequencing, we show how 5 splice-site use is systematically disrupted in individuals with RNU4-2 variants, consistent with the known role of this region during spliceosome activation. Finally, we estimate that variants in this 18 base pair region explain 0.4% of individuals with NDD. This work underscores the importance of non-coding genes in rare disorders and will provide a diagnosis to thousands of individuals with NDD worldwide.

Published
2024

3. The UK10K project identifies rare variants in health and disease

Author

UK10K Consortium, Walter, Klaudia, Min, Josine L, Huang, Jie, Crooks, Lucy, Memari, Yasin, McCarthy, Shane, Perry, John RB, Xu, ChangJiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E, Danecek, Petr, Li, Rui, Floyd, James, Wain, Louise V, Barroso, Inês, Humphries, Steve E, Hurles, Matthew E, Zeggini, Eleftheria, Barrett, Jeffrey C, Plagnol, Vincent, Richards, J Brent, Greenwood, Celia MT, Timpson, Nicholas J, Durbin, Richard, Soranzo, Nicole, McCarthy, Shane [0000-0002-2715-4187], Durbin, Richard [0000-0002-9130-1006], and Apollo - University of Cambridge Repository

Subjects
Male, Genome, Human, Genetics, Medical, Genetic Variation, Molecular Sequence Annotation, Genomics, Sequence Analysis, DNA, Reference Standards, Lipid Metabolism, United Kingdom, Cohort Studies, Genetics, Population, Receptors, LDL, Health, Humans, Disease, Exome, Female, Genetic Predisposition to Disease, Adiponectin, Alleles, Triglycerides, Genome-Wide Association Study
Abstract

The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high read depth, 80×) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.

Published
2018
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4. The UK10K project identifies rare variants in health and disease

Author

Walter, Klaudia, Min, Josine L., Huang, Jie, Crooks, Lucy, Memari, Yasin, McCarthy, Shane, Perry, John R. B., Xu, ChangJiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E., Danecek, Petr, Li, Rui, Floyd, James, Wain, Louise V., Barroso, Inês, Humphries, Steve E., Hurles, Matthew E., Zeggini, Eleftheria, Barrett, Jeffrey C., Plagnol, Vincent, Brent Richards, J., Greenwood, Celia M. T., Timpson, Nicholas J., Durbin, Richard, Soranzo, Nicole, Bala, Senduran, Clapham, Peter, Coates, Guy, Cox, Tony, Daly, Allan, Du, Yuanping, Edkins, Sarah, Ellis, Peter, Flicek, Paul, Guo, Xiaosen, Guo, Xueqin, Huang, Liren, Jackson, David K., Joyce, Chris, Keane, Thomas, Kolb-Kokocinski, Anja, Langford, Cordelia, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Maslen, John, Muddyman, Dawn, Quail, Michael A., Stalker, Jim, Sun, Jianping, Tian, Jing, Wang, Guangbiao, Wang, Jun, Wang, Yu, Wong, Kim, Zhang, Pingbo, Birney, Ewan, Boustred, Chris, Chen, Lu, Clement, Gail, Cocca, Massimiliano, Davey Smith, George, Day, Ian N. M., Day-Williams, Aaron, Down, Thomas, Dunham, Ian, Evans, David M., Gaunt, Tom R., Geihs, Matthias, Hart, Deborah, Howie, Bryan, Hubbard, Tim, Hysi, Pirro, Jamshidi, Yalda, Karczewski, Konrad J., Kemp, John P., Lachance, Genevieve, Lek, Monkol, Lopes, Margarida, MacArthur, Daniel G., Marchini, Jonathan, Mangino, Massimo, Mathieson, Iain, Metrustry, Sarah, Moayyeri, Alireza, Northstone, Kate, Panoutsopoulou, Kalliope, Paternoster, Lavinia, Quaye, Lydia, Ring, Susan, Ritchie, Graham R. S., Shihab, Hashem A., Shin, So-Youn, Small, Kerrin S., Soler Artigas, María, Southam, Lorraine, Spector, Timothy D., St Pourcain, Beate, Surdulescu, Gabriela, Tachmazidou, Ioanna, Tobin, Martin D., Valdes, Ana M., Visscher, Peter M., Ward, Kirsten, Wilson, Scott G., Yang, Jian, Zhang, Feng, Zheng, Hou-Feng, Anney, Richard, Ayub, Muhammad, Blackwood, Douglas, Bolton, Patrick F., Breen, Gerome, Collier, David A., Craddock, Nick, Curran, Sarah, Curtis, David, Gallagher, Louise, Geschwind, Daniel, Gurling, Hugh, Holmans, Peter, Lee, Irene, Lönnqvist, Jouko, McGuffin, Peter, McIntosh, Andrew M., McKechanie, Andrew G., McQuillin, Andrew, Morris, James, O'Donovan, Michael C., Owen, Michael J., Palotie, Aarno, Parr, Jeremy R., Paunio, Tiina, Pietilainen, Olli, Rehnström, Karola, Sharp, Sally I., Skuse, David, St Clair, David, Suvisaari, Jaana, Walters, James T. R., Williams, Hywel J., Bochukova, Elena, Bounds, Rebecca, Dominiczak, Anna, Farooqi, I. Sadaf, Keogh, Julia, Marenne, Gaëlle, Morris, Andrew, O'Rahilly, Stephen, Porteous, David J., Smith, Blair H., Wheeler, Eleanor, Al Turki, Saeed, Anderson, Carl A., Antony, Dinu, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Fitzpatrick, David R., Reghan Foley, A., Franklin, Christopher S., Grozeva, Detelina, Mitchison, Hannah M., Muntoni, Francesco, Onoufriadis, Alexandros, Parker, Victoria, Payne, Felicity, Lucy Raymond, F., Roberts, Nicola, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Spasic-Boskovic, Olivera, Stevens, Elizabeth, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Williamson, Kathleen A., Wilson, Crispian, Whyte, Tamieka, Ciampi, Antonio, Oualkacha, Karim, Bobrow, Martin, Griffin, Heather, Kaye, Jane, Kennedy, Karen, Kent, Alastair, Smee, Carol, Charlton, Ruth, Ekong, Rosemary, Khawaja, Farrah, Lopes, Luis R., Migone, Nicola, Payne, Stewart J., Pollitt, Rebecca C., Povey, Sue, Ridout, Cheryl K., Robinson, Rachel L., Scott, Richard H., Shaw, Adam, Syrris, Petros, Taylor, Rohan, Vandersteen, Anthony M., Amuzu, Antoinette, Pablo Casas, Juan, Chambers, John C., Dedoussis, George, Gambaro, Giovanni, Gasparini, Paolo, Isaacs, Aaron, Johnson, Jon, Kleber, Marcus E., Kooner, Jaspal S., Langenberg, Claudia, Luan, Jian'an, Malerba, Giovanni, März, Winfried, Matchan, Angela, Morris, Richard, Nordestgaard, Børge G., Benn, Marianne, Scott, Robert A., Toniolo, Daniela, Traglia, Michela, Tybjaerg-Hansen, Anne, van Duijn, Cornelia M., van Leeuwen, Elisabeth M., Varbo, Anette, Whincup, Peter, Zaza, Gianluigi, Zhang, Weihua, Civil Law, Epidemiology, Clinicum, Department of Psychiatry, Institute for Molecular Medicine Finland, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, Broad Institute of MIT and Harvard, Palotie, Aarno, Walter, Klaudia, Min, Josine L., Huang, Jie, Crooks, Lucy, Memari, Yasin, Mccarthy, Shane, Perry, John R. B., Xu, Changjiang, Futema, Marta, Lawson, Daniel, Iotchkova, Valentina, Schiffels, Stephan, Hendricks, Audrey E., Danecek, Petr, Li, Rui, Floyd, Jame, Wain, Louise V., Barroso, Inê, Humphries, Steve E., Hurles, Matthew E., Zeggini, Eleftheria, Barrett, Jeffrey C., Plagnol, Vincent, Brent Richards, J., Greenwood, Celia M. T., Timpson, Nicholas J., Durbin, Richard, Soranzo, Nicole, Bala, Senduran, Clapham, Peter, Coates, Guy, Cox, Tony, Daly, Allan, Du, Yuanping, Edkins, Sarah, Ellis, Peter, Flicek, Paul, Guo, Xiaosen, Guo, Xueqin, Huang, Liren, Jackson, David K., Joyce, Chri, Keane, Thoma, Kolb Kokocinski, Anja, Langford, Cordelia, Li, Yingrui, Liang, Jieqin, Lin, Hong, Liu, Ryan, Maslen, John, Muddyman, Dawn, Quail, Michael A., Stalker, Jim, Sun, Jianping, Tian, Jing, Wang, Guangbiao, Wang, Jun, Wang, Yu, Wong, Kim, Zhang, Pingbo, Birney, Ewan, Boustred, Chri, Chen, Lu, Clement, Gail, Cocca, Massimiliano, Davey Smith, George, Day, Ian N. M., Day Williams, Aaron, Down, Thoma, Dunham, Ian, Evans, David M., Gaunt, Tom R., Geihs, Matthia, Hart, Deborah, Howie, Bryan, Hubbard, Tim, Hysi, Pirro, Jamshidi, Yalda, Karczewski, Konrad J., Kemp, John P., Lachance, Genevieve, Lek, Monkol, Lopes, Margarida, Macarthur, Daniel G., Marchini, Jonathan, Mangino, Massimo, Mathieson, Iain, Metrustry, Sarah, Moayyeri, Alireza, Northstone, Kate, Panoutsopoulou, Kalliope, Paternoster, Lavinia, Quaye, Lydia, Ring, Susan, Ritchie, Graham R. S., Shihab, Hashem A., Shin, So Youn, Small, Kerrin S., Soler Artigas, María, Southam, Lorraine, Spector, Timothy D., St Pourcain, Beate, Surdulescu, Gabriela, Tachmazidou, Ioanna, Tobin, Martin D., Valdes, Ana M., Visscher, Peter M., Ward, Kirsten, Wilson, Scott G., Yang, Jian, Zhang, Feng, Zheng, Hou Feng, Anney, Richard, Ayub, Muhammad, Blackwood, Dougla, Bolton, Patrick F., Breen, Gerome, Collier, David A., Craddock, Nick, Curran, Sarah, Curtis, David, Gallagher, Louise, Geschwind, Daniel, Gurling, Hugh, Holmans, Peter, Lee, Irene, Lönnqvist, Jouko, Mcguffin, Peter, Mcintosh, Andrew M., Mckechanie, Andrew G., Mcquillin, Andrew, Morris, Jame, O'Donovan, Michael C., Owen, Michael J., Parr, Jeremy R., Paunio, Tiina, Pietilainen, Olli, Rehnström, Karola, Sharp, Sally I., Skuse, David, St Clair, David, Suvisaari, Jaana, Walters, James T. R., Williams, Hywel J., Bochukova, Elena, Bounds, Rebecca, Dominiczak, Anna, Farooqi, I. Sadaf, Keogh, Julia, Marenne, Gaëlle, Morris, Andrew, O'Rahilly, Stephen, Porteous, David J., Smith, Blair H., Wheeler, Eleanor, Al Turki, Saeed, Anderson, Carl A., Antony, Dinu, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Cirak, Sebahattin, Cosgrove, Catherine, Fitzpatrick, David R., Reghan Foley, A., Franklin, Christopher S., Grozeva, Detelina, Mitchison, Hannah M., Muntoni, Francesco, Onoufriadis, Alexandro, Parker, Victoria, Payne, Felicity, Lucy Raymond, F., Roberts, Nicola, Savage, David B., Scambler, Peter, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Spasic Boskovic, Olivera, Stevens, Elizabeth, van Kogelenberg, Margriet, Vijayarangakannan, Parthiban, Williamson, Kathleen A., Wilson, Crispian, Whyte, Tamieka, Ciampi, Antonio, Oualkacha, Karim, Bobrow, Martin, Griffin, Heather, Kaye, Jane, Kennedy, Karen, Kent, Alastair, Smee, Carol, Charlton, Ruth, Ekong, Rosemary, Khawaja, Farrah, Lopes, Luis R., Migone, Nicola, Payne, Stewart J., Pollitt, Rebecca C., Povey, Sue, Ridout, Cheryl K., Robinson, Rachel L., Scott, Richard H., Shaw, Adam, Syrris, Petro, Taylor, Rohan, Vandersteen, Anthony M., Amuzu, Antoinette, Pablo Casas, Juan, Chambers, John C., Dedoussis, George, Gambaro, Giovanni, Gasparini, Paolo, Isaacs, Aaron, Johnson, Jon, Kleber, Marcus E., Kooner, Jaspal S., Langenberg, Claudia, Luan, Jian'An, Malerba, Giovanni, März, Winfried, Matchan, Angela, Morris, Richard, Nordestgaard, Børge G., Benn, Marianne, Scott, Robert A., Toniolo, Daniela, Traglia, Michela, Tybjaerg Hansen, Anne, van Duijn, Cornelia M., van Leeuwen, Elisabeth M., Varbo, Anette, Whincup, Peter, Zaza, Gianluigi, and Zhang, Weihua

Subjects
APOC3, Male, Genome-wide association study, genetics,UK10K,Whole-genome sequencing, Genome-wide association studies, Next-generation sequencing, Genome-wide association studies, rare and low-frequency variants, Cohort Studies, OF-FUNCTION MUTATIONS, genetics, Disease, Exome, Exome sequencing, POPULATION, Genetics, education.field_of_study, Multidisciplinary, HERITABILITY, Great Britain, Genomics, Reference Standards, Multidisciplinary Sciences, Health, Science & Technology - Other Topics, INCIDENTAL FINDINGS, LOW-FREQUENCY, Female, Adiponectin, General Science & Technology, Genetics, Medical, Population, Computational biology, Biology, Article, MD Multidisciplinary, SEQUENCE VARIATION, UK10K Consortium, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, COMMON, Alleles, Triglycerides, Genetic association, Whole genome sequencing, Whole-genome sequencing, Science & Technology, Genome, Human, COMPLEX TRAITS, Genetic Variation, Molecular Sequence Annotation, Sequence Analysis, DNA, Lipid Metabolism, United Kingdom, 3141 Health care science, Genetics, Population, UK10K, Receptors, LDL, Next-generation sequencing, rare and low-frequency variants, Imputation (genetics), Genome-Wide Association Study
Abstract

M. Kivimäki työryhmäjäsen. The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7x) or exomes (high read depth, 80x) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.

Published
2015

5. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel

Author

Huang, Jie, Howie, Bryan, McCarthy, Shane, Memari, Yasin, Walter, Klaudia, Min, Josine L, Danecek, Petr, Malerba, Giovanni, Trabetti, Elisabetta, Zheng, Hou-Feng, UK10K Consortium, Gambaro, Giovanni, Richards, J Brent, Durbin, Richard, Timpson, Nicholas J, Marchini, Jonathan, Soranzo, Nicole, Durbin, Richard [0000-0002-9130-1006], Marchini, Jonathan [0000-0003-0610-8322], Soranzo, Nicole [0000-0003-1095-3852], and Apollo - University of Cambridge Repository

Subjects
Adult, Aged, 80 and over, Models, Statistical, Adolescent, Genotype, Models, Genetic, Genome, Human, Genetic Variation, Middle Aged, Polymorphism, Single Nucleotide, United Kingdom, White People, Young Adult, Gene Frequency, Haplotypes, Italy, Humans, Alleles, Aged
Abstract

Imputing genotypes from reference panels created by whole-genome sequencing (WGS) provides a cost-effective strategy for augmenting the single-nucleotide polymorphism (SNP) content of genome-wide arrays. The UK10K Cohorts project has generated a data set of 3,781 whole genomes sequenced at low depth (average 7x), aiming to exhaustively characterize genetic variation down to 0.1% minor allele frequency in the British population. Here we demonstrate the value of this resource for improving imputation accuracy at rare and low-frequency variants in both a UK and an Italian population. We show that large increases in imputation accuracy can be achieved by re-phasing WGS reference panels after initial genotype calling. We also present a method for combining WGS panels to improve variant coverage and downstream imputation accuracy, which we illustrate by integrating 7,562 WGS haplotypes from the UK10K project with 2,184 haplotypes from the 1000 Genomes Project. Finally, we introduce a novel approximation that maintains speed without sacrificing imputation accuracy for rare variants.

Published
2015

6. Erratum: A rare variant in APOC3 is associated with plasma triglyceride and VLDL levels in Europeans

Author

Timpson, Nicholas J., Walter, Klaudia, Min, Josine L., Tachmazidou, Ioanna, Malerba, Giovanni, Shin, So-Youn, Chen, Lu, Futema, Marta, Southam, Lorraine, Iotchkova, Valentina, Cocca, Massimiliano, Huang, Jie, Memari, Yasin, McCarthy, Shane, Danecek, Petr, Muddyman, Dawn, Mangino, Massimo, Menni, Cristina, Perry, John R. B., Ring, Susan M., Gaye, Amadou, Dedoussis, George, Farmaki, Aliki-Eleni, Burton, Paul, Talmud, Philippa J., Gambaro, Giovanni, Spector, Tim D., Smith, George Davey, Durbin, Richard, Richards, J. Brent, Humphries, Steve E., Zeggini, Eleftheria, and Soranzo, Nicole

Subjects
Male, Apolipoprotein C-III, Multidisciplinary, Polymorphism, Genetic, Twins, General Physics and Astronomy, General Chemistry, Lipoproteins, VLDL, Middle Aged, General Biochemistry, Genetics and Molecular Biology, White People, Alternative Splicing, Gene Frequency, Humans, Female, Erratum, Child, Lipoproteins, HDL, Alleles, Triglycerides
Abstract

The analysis of rich catalogues of genetic variation from population-based sequencing provides an opportunity to screen for functional effects. Here we report a rare variant in APOC3 (rs138326449-A, minor allele frequency ~0.25% (UK)) associated with plasma triglyceride (TG) levels (-1.43 s.d. (s.e.=0.27 per minor allele (P-value=8.0 × 10(-8))) discovered in 3,202 individuals with low read-depth, whole-genome sequence. We replicate this in 12,831 participants from five additional samples of Northern and Southern European origin (-1.0 s.d. (s.e.=0.173), P-value=7.32 × 10(-9)). This is consistent with an effect between 0.5 and 1.5 mmol l(-1) dependent on population. We show that a single predicted splice donor variant is responsible for association signals and is independent of known common variants. Analyses suggest an independent relationship between rs138326449 and high-density lipoprotein (HDL) levels. This represents one of the first examples of a rare, large effect variant identified from whole-genome sequencing at a population scale.

Published
2015

7. Very low-depth whole-genome sequencing in complex trait association studies.

Author

Gilly, Arthur, Southam, Lorraine, Suveges, Daniel, Kuchenbaecker, Karoline, Moore, Rachel, Melloni, Giorgio E M, Hatzikotoulas, Konstantinos, Farmaki, Aliki-Eleni, Ritchie, Graham, Schwartzentruber, Jeremy, Danecek, Petr, Kilian, Britt, Pollard, Martin O, Ge, Xiangyu, Tsafantakis, Emmanouil, Dedoussis, George, and Zeggini, Eleftheria

Subjects
INTERNET servers, GENOTYPES, ALLELES, BIOINFORMATICS, PIPELINES, GENOME-wide association studies, EXOMES, GENETIC correlations
Abstract

Motivation Very low-depth sequencing has been proposed as a cost-effective approach to capture low-frequency and rare variation in complex trait association studies. However, a full characterization of the genotype quality and association power for very low-depth sequencing designs is still lacking. Results We perform cohort-wide whole-genome sequencing (WGS) at low depth in 1239 individuals (990 at 1× depth and 249 at 4× depth) from an isolated population, and establish a robust pipeline for calling and imputing very low-depth WGS genotypes from standard bioinformatics tools. Using genotyping chip, whole-exome sequencing (75× depth) and high-depth (22×) WGS data in the same samples, we examine in detail the sensitivity of this approach, and show that imputed 1× WGS recapitulates 95.2% of variants found by imputed GWAS with an average minor allele concordance of 97% for common and low-frequency variants. In our study, 1× further allowed the discovery of 140 844 true low-frequency variants with 73% genotype concordance when compared to high-depth WGS data. Finally, using association results for 57 quantitative traits, we show that very low-depth WGS is an efficient alternative to imputed GWAS chip designs, allowing the discovery of up to twice as many true association signals than the classical imputed GWAS design. Availability and implementation The HELIC genotype and WGS datasets have been deposited to the European Genome-phenome Archive (https://www.ebi.ac.uk/ega/home): EGAD00010000518; EGAD00010000522; EGAD00010000610; EGAD00001001636, EGAD00001001637. The peakplotter software is available at https://github.com/wtsi-team144/peakplotter , the transformPhenotype app can be downloaded at https://github.com/wtsi-team144/transformPhenotype. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Published
2019
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8. The variant call format and VCFtools.

Author

Danecek, Petr, Auton, Adam, Abecasis, Goncalo, Albers, Cornelis A., Banks, Eric, DePristo, Mark A., Handsaker, Robert E., Lunter, Gerton, Marth, Gabor T., Sherry, Stephen T., McVean, Gilean, and Durbin, Richard

Subjects
*GENETIC polymorphisms, *SINGLE nucleotide polymorphisms, *DNA insertion elements, *HUMAN chromosomes, *ALLELES
Abstract

Summary: The variant call format (VCF) is a generic format for storing DNA polymorphism data such as SNPs, insertions, deletions and structural variants, together with rich annotations. VCF is usually stored in a compressed manner and can be indexed for fast data retrieval of variants from a range of positions on the reference genome. The format was developed for the 1000 Genomes Project, and has also been adopted by other projects such as UK10K, dbSNP and the NHLBI Exome Project. VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API.Availability: http://vcftools.sourceforge.netContact: rd@sanger.ac.uk [ABSTRACT FROM PUBLISHER]

Published
2011

9. A reference panel of 64,976 haplotypes for genotype imputation

Author

Steven A. McCarroll, Gerome Breen, Nicole Soranzo, Sayantan Das, Ilaria Gandin, Lukas Forer, David Schlessinger, Jonathan Marchini, Francesco Cucca, Anand Swaroop, Seppo Koskinen, Aliki-Eleni Farmaki, Alan Kwong, Gonçalo R. Abecasis, Marcus Dörr, Yang Luo, Andrew T. Chan, Andrea Angius, P. Eline Slagboom, Petr Danecek, Cinzia Sala, Ulrike Peters, Marcus A. Tuke, D.I. Boomsma, Jan H. Veldink, Nicholas J. Timpson, Scott I. Vrieze, Aarno Palotie, Matt McGue, Wouter van Rheenen, Melvin G. McInnis, Shawn Levy, George Dedoussis, Richard Durbin, Matthias Kretzler, Ross M. Fraser, C Sidore, David Melzer, Eleftheria Zeggini, Andrew R. Wood, Veikko Salomaa, Oddgeir L. Holmen, Alexander Teumer, Hyun Min Kang, James F. Wilson, Cristen J. Willer, Laura J. Scott, Richard M. Myers, George Davey Smith, Andrew T. Hattersley, Matthias Nauck, Matthew G. Sampson, Christian Fuchsberger, Josine L. Min, Leonard H. van den Berg, Thomas Meitinger, David Altshuler, John B. Vincent, Kevin Sharp, Jaakko Tuomilehto, Daniela Toniolo, Cornelia M. van Duijn, Samuli Ripatti, Stacey Gabriel, Michael Boehnke, Annelot M. Dekker, Francis S. Collins, He Zhang, Klaudia Walter, Deborah A. Nickerson, Nicola Pirastu, Morris A. Swertz, Kari Branham, Luigi Ferrucci, Sai Chen, Fabio Busonero, Paul I.W. de Bakker, Kristian Hveem, Charles Kooperberg, Michela Traglia, Warren W. Kretzschmar, Leif Groop, Tabitha A. Harrison, Sebastian Schoenherr, J. Brent Richards, Uwe Völker, Shane A. McCarthy, Harry Campbell, Massimo Mezzavilla, Chad M. Brummett, Mark I. McCarthy, Tim D. Spector, Dwight Stambolian, Massimiliano Cocca, Emily Y. Chew, Carlos N. Pato, Jeffrey C. Barrett, Christopher E. Gillies, William G. Iacono, Karen L. Mohlke, Olivier Delaneau, Laura J Corbin, Cisca Wijmenga, Anubha Mahajan, Timothy M. Frayling, James Lee, Michele T. Pato, Carl A. Anderson, Arthur Gilly, Kerrin S. Small, Paolo Gasparini, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, McCarthy, Shane [0000-0002-2715-4187], Das, Sayantan [0000-0001-6346-1590], Kretzschmar, Warren [0000-0002-2575-0807], Durbin, Richard [0000-0002-9130-1006], Apollo - University of Cambridge Repository, Epidemiology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Mccarthy, Shane, Das, Sayantan, Kretzschmar, Warren, Delaneau, Olivier, Wood, Andrew R, Teumer, Alexander, Kang, Hyun Min, Fuchsberger, Christian, Danecek, Petr, Sharp, Kevin, Luo, Yang, Sidore, Carlo, Kwong, Alan, Timpson, Nichola, Koskinen, Seppo, Vrieze, Scott, Scott, Laura J, Zhang, He, Mahajan, Anubha, Veldink, Jan, Peters, Ulrike, Pato, Carlo, van Duijn, Cornelia M, Gillies, Christopher E, Gandin, Ilaria, Mezzavilla, Massimo, Gilly, Arthur, Cocca, Massimiliano, Traglia, Michela, Angius, Andrea, Barrett, Jeffrey C, Boomsma, Dorrett, Branham, Kari, Breen, Gerome, Brummett, Chad M, Busonero, Fabio, Campbell, Harry, Chan, Andrew, Chen, Sai, Chew, Emily, Collins, Francis S, Corbin, Laura J, Smith, George Davey, Dedoussis, George, Dorr, Marcu, Farmaki, Aliki Eleni, Ferrucci, Luigi, Forer, Luka, Fraser, Ross M, Gabriel, Stacey, Levy, Shawn, Groop, Leif, Harrison, Tabitha, Hattersley, Andrew, Holmen, Oddgeir L, Hveem, Kristian, Kretzler, Matthia, Lee, James C, Mcgue, Matt, Meitinger, Thoma, Melzer, David, Min, Josine L, Mohlke, Karen L, Vincent, John B, Nauck, Matthia, Nickerson, Deborah, Palotie, Aarno, Pato, Michele, Pirastu, Nicola, Mcinnis, Melvin, Richards, J. Brent, Sala, Cinzia, Salomaa, Veikko, Schlessinger, David, Schoenherr, Sebastian, Slagboom, P. Eline, Small, Kerrin, Spector, Timothy, Stambolian, Dwight, Tuke, Marcu, Tuomilehto, Jaakko, van den Berg, Leonard H, van Rheenen, Wouter, Volker, Uwe, Wijmenga, Cisca, Toniolo, Daniela, Zeggini, Eleftheria, Gasparini, Paolo, Sampson, Matthew G, Wilson, James F, Frayling, Timothy, de Bakker, Paul I. W, Swertz, Morris A, Mccarroll, Steven, Kooperberg, Charle, Dekker, Annelot, Altshuler, David, Willer, Cristen, Iacono, William, Ripatti, Samuli, Soranzo, Nicole, Walter, Klaudia, Swaroop, Anand, Cucca, Francesco, Anderson, Carl A, Myers, Richard M, Boehnke, Michael, Mccarthy, Mark I, and Durbin, Richard

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Genotype, Population, Genome-wide association study, Single-nucleotide polymorphism, Computational biology, Biology, Polymorphism, Single Nucleotide, SEQUENCE, Article, 03 medical and health sciences, 0302 clinical medicine, Reference Values, Journal Article, Genetics, Humans, GENOME-WIDE ASSOCIATION, education, Alleles, POPULATION, 030304 developmental biology, Genetic association, Whole genome sequencing, education.field_of_study, Internet, 0303 health sciences, Genotype imputation, Medicine (all), Haplotype, ALSPAC, Minor allele frequency, 030104 developmental biology, Genetic Techniques, Haplotypes, RARE VARIANTS, 030217 neurology & neurosurgery, Imputation (genetics), Genome-Wide Association Study
Abstract

We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1%, a large increase in the number of SNPs tested in association studies and can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

Published
2015

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