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Dive into the research topics where Samuli Ripatti is active.

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Featured researches published by Samuli Ripatti.


Nature Genetics | 2010

Genome-wide association study identifies five loci associated with lung function

Emmanouela Repapi; Ian Sayers; Louise V. Wain; Paul R. Burton; Toby Johnson; Ma’en Obeidat; Jing Hua Zhao; Adaikalavan Ramasamy; Guangju Zhai; Veronique Vitart; Jennifer E. Huffman; Wilmar Igl; Eva Albrecht; Panos Deloukas; John Henderson; Raquel Granell; Wendy L. McArdle; Alicja R. Rudnicka; Inês Barroso; Ruth J. F. Loos; Nicholas J. Wareham; Linda Mustelin; Taina Rantanen; Ida Surakka; Medea Imboden; H.-Erich Wichmann; Ivica Grković; Stipan Janković; Lina Zgaga; Anna-Liisa Hartikainen

Pulmonary function measures are heritable traits that predict morbidity and mortality and define chronic obstructive pulmonary disease (COPD). We tested genome-wide association with forced expiratory volume in 1 s (FEV1) and the ratio of FEV1 to forced vital capacity (FVC) in the SpiroMeta consortium (n = 20,288 individuals of European ancestry). We conducted a meta-analysis of top signals with data from direct genotyping (n ≤ 32,184 additional individuals) and in silico summary association data from the CHARGE Consortium (n = 21,209) and the Health 2000 survey (n ≤ 883). We confirmed the reported locus at 4q31 and identified associations with FEV1 or FEV1/FVC and common variants at five additional loci: 2q35 in TNS1 (P = 1.11 × 10−12), 4q24 in GSTCD (2.18 × 10−23), 5q33 in HTR4 (P = 4.29 × 10−9), 6p21 in AGER (P = 3.07 × 10−15) and 15q23 in THSD4 (P = 7.24 × 10−15). mRNA analyses showed expression of TNS1, GSTCD, AGER, HTR4 and THSD4 in human lung tissue. These associations offer mechanistic insight into pulmonary function regulation and indicate potential targets for interventions to alleviate respiratory disease.


American Journal of Respiratory and Critical Care Medicine | 2011

Effect of five genetic variants associated with lung function on the risk of chronic obstructive lung disease, and their joint effects on lung function

M. Soler Artigas; Louise V. Wain; Emmanouela Repapi; Ma'en Obeidat; Ian Sayers; Paul R. Burton; Toby Johnson; Jiao Zhao; Eva Albrecht; Anna F. Dominiczak; Sm Kerr; Blair H. Smith; Gemma Cadby; Jennie Hui; Lyle J. Palmer; Aroon D. Hingorani; Sg Wannamethee; P H Whincup; S Ebrahim; George Davey Smith; Inês Barroso; Remco Loos; Nicholas J. Wareham; C Cooper; E Dennison; Seif O. Shaheen; Jimmy Z. Liu; Jonathan Marchini; Santosh Dahgam; Åsa Torinsson Naluai

RATIONALE Genomic loci are associated with FEV1 or the ratio of FEV1 to FVC in population samples, but their association with chronic obstructive pulmonary disease (COPD) has not yet been proven, nor have their combined effects on lung function and COPD been studied. OBJECTIVES To test association with COPD of variants at five loci (TNS1, GSTCD, HTR4, AGER, and THSD4) and to evaluate joint effects on lung function and COPD of these single-nucleotide polymorphisms (SNPs), and variants at the previously reported locus near HHIP. METHODS By sampling from 12 population-based studies (n = 31,422), we obtained genotype data on 3,284 COPD case subjects and 17,538 control subjects for sentinel SNPs in TNS1, GSTCD, HTR4, AGER, and THSD4. In 24,648 individuals (including 2,890 COPD case subjects and 13,862 control subjects), we additionally obtained genotypes for rs12504628 near HHIP. Each allele associated with lung function decline at these six SNPs contributed to a risk score. We studied the association of the risk score to lung function and COPD. MEASUREMENTS AND MAIN RESULTS Association with COPD was significant for three loci (TNS1, GSTCD, and HTR4) and the previously reported HHIP locus, and suggestive and directionally consistent for AGER and TSHD4. Compared with the baseline group (7 risk alleles), carrying 10-12 risk alleles was associated with a reduction in FEV1 (β = -72.21 ml, P = 3.90 × 10(-4)) and FEV1/FVC (β = -1.53%, P = 6.35 × 10(-6)), and with COPD (odds ratio = 1.63, P = 1.46 × 10(-5)). CONCLUSIONS Variants in TNS1, GSTCD, and HTR4 are associated with COPD. Our highest risk score category was associated with a 1.6-fold higher COPD risk than the population average score.


Human Molecular Genetics | 2010

European lactase persistence genotype shows evidence of association with increase in body mass index

Johannes Kettunen; Kaisa Silander; Olli Saarela; Najaf Amin; Martina Müller; Nicholas J. Timpson; Ida Surakka; Samuli Ripatti; Jaana Laitinen; Anna-Liisa Hartikainen; Anneli Pouta; Päivi Lahermo; Verneri Anttila; Satu Männistö; Antti Jula; Jarmo Virtamo; Veikko Salomaa; Terho Lehtimäki; Olli T. Raitakari; Christian Gieger; Erich Wichmann; Cornelia van Duijn; George Davey Smith; Mark I. McCarthy; Marjo-Riitta Järvelin; Markus Perola; Leena Peltonen

The global prevalence of obesity has increased significantly in recent decades, mainly due to excess calorie intake and increasingly sedentary lifestyle. Here, we test the association between obesity measured by body mass index (BMI) and one of the best-known genetic variants showing strong selective pressure: the functional variant in the cis-regulatory element of the lactase gene. We tested this variant since it is presumed to provide nutritional advantage in specific physical and cultural environments. We genetically defined lactase persistence (LP) in 31 720 individuals from eight European population-based studies and one family study by genotyping or imputing the European LP variant (rs4988235). We performed a meta-analysis by pooling the β-coefficient estimates of the relationship between rs4988235 and BMI from the nine studies and found that the carriers of the allele responsible for LP among Europeans showed higher BMI (P = 7.9 × 10−5). Since this locus has been shown to be prone to population stratification, we paid special attention to reveal any population substructure which might be responsible for the association signal. The best evidence of exclusion of stratification came from the Dutch family sample which is robust for stratification. In this study, we highlight issues in model selection in the genome-wide association studies and problems in imputation of these special genomic regions.


PLOS ONE | 2013

A Genome-Wide Analysis of Populations from European Russia Reveals a New Pole of Genetic Diversity in Northern Europe

Andrey Khrunin; D. V. Khokhrin; Irina N. Filippova; Tonu Esko; Mari Nelis; Natalia A. Bebyakova; Natalia L. Bolotova; Janis Klovins; Liene Nikitina-Zake; Karola Rehnström; Samuli Ripatti; Stefan Schreiber; Andre Franke; Milan Macek; Veronika Krulisova; Jan Lubinski; Andres Metspalu; S. A. Limborska

Several studies examined the fine-scale structure of human genetic variation in Europe. However, the European sets analyzed represent mainly northern, western, central, and southern Europe. Here, we report an analysis of approximately 166,000 single nucleotide polymorphisms in populations from eastern (northeastern) Europe: four Russian populations from European Russia, and three populations from the northernmost Finno-Ugric ethnicities (Veps and two contrast groups of Komi people). These were compared with several reference European samples, including Finns, Estonians, Latvians, Poles, Czechs, Germans, and Italians. The results obtained demonstrated genetic heterogeneity of populations living in the region studied. Russians from the central part of European Russia (Tver, Murom, and Kursk) exhibited similarities with populations from central–eastern Europe, and were distant from Russian sample from the northern Russia (Mezen district, Archangelsk region). Komi samples, especially Izhemski Komi, were significantly different from all other populations studied. These can be considered as a second pole of genetic diversity in northern Europe (in addition to the pole, occupied by Finns), as they had a distinct ancestry component. Russians from Mezen and the Finnic-speaking Veps were positioned between the two poles, but differed from each other in the proportions of Komi and Finnic ancestries. In general, our data provides a more complete genetic map of Europe accounting for the diversity in its most eastern (northeastern) populations.


Scientific Reports | 2016

No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis.

Christina Loley; Maris Alver; Themistocles L. Assimes; Andrew Bjonnes; Anuj Goel; Stefan Gustafsson; Jussi Hernesniemi; Jemma C. Hopewell; Stavroula Kanoni; Marcus E. Kleber; King Wai Lau; Yingchang Lu; Leo-Pekka Lyytikäinen; Christopher P. Nelson; Majid Nikpay; Liming Qu; Elias Salfati; Markus Scholz; Taru Tukiainen; Christina Willenborg; Hong-Hee Won; Lingyao Zeng; Weihua Zhang; Sonia S. Anand; Frank Beutner; Erwin P. Bottinger; Robert Clarke; George V. Dedoussis; Ron Do; Tonu Esko

In recent years, genome-wide association studies have identified 58 independent risk loci for coronary artery disease (CAD) on the autosome. However, due to the sex-specific data structure of the X chromosome, it has been excluded from most of these analyses. While females have 2 copies of chromosome X, males have only one. Also, one of the female X chromosomes may be inactivated. Therefore, special test statistics and quality control procedures are required. Thus, little is known about the role of X-chromosomal variants in CAD. To fill this gap, we conducted a comprehensive X-chromosome-wide meta-analysis including more than 43,000 CAD cases and 58,000 controls from 35 international study cohorts. For quality control, sex-specific filters were used to adequately take the special structure of X-chromosomal data into account. For single study analyses, several logistic regression models were calculated allowing for inactivation of one female X-chromosome, adjusting for sex and investigating interactions between sex and genetic variants. Then, meta-analyses including all 35 studies were conducted using random effects models. None of the investigated models revealed genome-wide significant associations for any variant. Although we analyzed the largest-to-date sample, currently available methods were not able to detect any associations of X-chromosomal variants with CAD.


Translational Psychiatry | 2017

Neuregulin signaling pathway in smoking behavior

Richa Gupta; B. Qaiser; Liang He; Tero Hiekkalinna; A. B. Zheutlin; Sebastian Therman; Miina Ollikainen; Samuli Ripatti; Markus Perola; Veikko Salomaa; Lili Milani; Tyrone D. Cannon; P. A. F. Madden; T. Korhonen; Jaakko Kaprio; Anu Loukola

Understanding molecular processes that link comorbid traits such as addictions and mental disorders can provide novel therapeutic targets. Neuregulin signaling pathway (NSP) has previously been implicated in schizophrenia, a neurodevelopmental disorder with high comorbidity to smoking. Using a Finnish twin family sample, we have previously detected association between nicotine dependence and ERBB4 (a neuregulin receptor), and linkage for smoking initiation at the ERBB4 locus on 2q33. Further, Neuregulin3 has recently been shown to associate with nicotine withdrawal in a behavioral mouse model. In this study, we scrutinized association and linkage between 15 036 common, low frequency and rare genetic variants in 10 NSP genes and phenotypes encompassing smoking and alcohol use. Using the Finnish twin family sample (N=1998 from 740 families), we detected 66 variants (representing 23 LD blocks) significantly associated (false discovery rate P<0.05) with smoking initiation, nicotine dependence and nicotine withdrawal. We comprehensively annotated the associated variants using expression (eQTL) and methylation quantitative trait loci (meQTL) analyses in a Finnish population sample. Among the 66 variants, we identified 25 eQTLs (in NRG1 and ERBB4), 22 meQTLs (in NRG3, ERBB4 and PSENEN), a missense variant in NRG1 (rs113317778) and a splicing disruption variant in ERBB4 (rs13385826). Majority of the QTLs in blood were replicated in silico using publicly available databases, with additional QTLs observed in brain. In conclusion, our results support the involvement of NSP in smoking behavior but not in alcohol use and abuse, and disclose functional potential for 56 of the 66 associated single-nucleotide polymorphism.


Nature Communications | 2018

Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

Seyedeh M. Zekavat; Sanni Ruotsalainen; Robert E. Handsaker; Maris Alver; Jonathan Bloom; Timothy Poterba; Cotton Seed; Jason Ernst; Mark Chaffin; Jesse M. Engreitz; Gina M. Peloso; Ani Manichaikul; Chaojie Yang; Kathleen A. Ryan; Mao Fu; W. Craig Johnson; Michael Y. Tsai; Matthew J. Budoff; L. Adrienne Cupples; Jerome I. Rotter; Stephen S. Rich; Wendy S. Post; Braxton D. Mitchell; Adolfo Correa; Andres Metspalu; James G. Wilson; Veikko Salomaa; Manolis Kellis; Mark J. Daly; Benjamin M. Neale

The original version of this article contained an error in the name of the author Ramachandran S. Vasan, which was incorrectly given as Vasan S. Ramachandran. This has now been corrected in both the PDF and HTML versions of the article.


Nature Communications | 2018

Phenome-wide association studies across large population cohorts support drug target validation

Dorothée Diogo; Chao Tian; Christopher S. Franklin; Mervi Alanne-Kinnunen; Michael March; Chris C. A. Spencer; Ciara Vangjeli; Michael E. Weale; Hannele Mattsson; Elina Kilpelainen; Patrick Sleiman; Dermot F. Reilly; Joshua McElwee; Joseph C. Maranville; Arnaub K. Chatterjee; Aman Bhandari; Khanh-Dung Nguyen; Karol Estrada; Mary-Pat Reeve; Janna Hutz; Nan Bing; Sally John; Daniel G. MacArthur; Veikko Salomaa; Samuli Ripatti; Hakon Hakonarson; Mark J. Daly; Aarno Palotie; David A. Hinds; Peter Donnelly

Phenome-wide association studies (PheWAS) have been proposed as a possible aid in drug development through elucidating mechanisms of action, identifying alternative indications, or predicting adverse drug events (ADEs). Here, we select 25 single nucleotide polymorphisms (SNPs) linked through genome-wide association studies (GWAS) to 19 candidate drug targets for common disease indications. We interrogate these SNPs by PheWAS in four large cohorts with extensive health information (23andMe, UK Biobank, FINRISK, CHOP) for association with 1683 binary endpoints in up to 697,815 individuals and conduct meta-analyses for 145 mapped disease endpoints. Our analyses replicate 75% of known GWAS associations (P < 0.05) and identify nine study-wide significant novel associations (of 71 with FDR < 0.1). We describe associations that may predict ADEs, e.g., acne, high cholesterol, gout, and gallstones with rs738409 (p.I148M) in PNPLA3 and asthma with rs1990760 (p.T946A) in IFIH1. Our results demonstrate PheWAS as a powerful addition to the toolkit for drug discovery.Testing the association between genetic variants and a range of phenotypes can assist drug development. Here, in a phenome-wide association study in up to 697,815 individuals, Diogo et al. identify genotype–phenotype associations predicting efficacy, alternative indications or adverse drug effects.


Nature Communications | 2018

Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

Seyedeh M. Zekavat; Sanni Ruotsalainen; Robert E. Handsaker; Maris Alver; Jonathan Bloom; Timothy Poterba; Cotton Seed; Jason Ernst; Mark Chaffin; Jesse M. Engreitz; Gina M. Peloso; Ani Manichaikul; Chaojie Yang; Kathleen A. Ryan; Mao Fu; W. Craig Johnson; Michael Y. Tsai; Matthew J. Budoff; L. Adrienne Cupples; Jerome I. Rotter; Stephen S. Rich; Wendy S. Post; Braxton D. Mitchell; Adolfo Correa; Andres Metspalu; James G. Wilson; Veikko Salomaa; Manolis Kellis; Mark J. Daly; Benjamin M. Neale

Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans.Circulating lipoprotein(a) is an important risk factor for cardiovascular disease and shows variability between different ethnic groups. Here, Zekavat et al. perform whole-genome sequencing in individuals of European and African ancestries and find ancestry-specific genetic determinants for lipoprotein(a) levels.


PubMed | 2011

Effect of five genetic variants associated with lung function on the risk of chronic obstructive lung disease, and their joint effects on lung function.

Soler Artigas M; Louise V. Wain; Emmanouela Repapi; Ma'en Obeidat; Ian Sayers; Paul R. Burton; Theron Johnson; J. H. Zhao; Eva Albrecht; Anna F. Dominiczak; Sm Kerr; Blair H. Smith; Gemma Cadby; Jennie Hui; Lyle J. Palmer; Aroon D. Hingorani; Sg Wannamethee; P H Whincup; S Ebrahim; George Davey Smith; Inês Barroso; Rj Loos; N. J. Wareham; C Cooper; E Dennison; Seif O. Shaheen; Jinghua Liu; Jonathan Marchini; Santosh Dahgam; Åsa Torinsson Naluai

RATIONALE Genomic loci are associated with FEV1 or the ratio of FEV1 to FVC in population samples, but their association with chronic obstructive pulmonary disease (COPD) has not yet been proven, nor have their combined effects on lung function and COPD been studied. OBJECTIVES To test association with COPD of variants at five loci (TNS1, GSTCD, HTR4, AGER, and THSD4) and to evaluate joint effects on lung function and COPD of these single-nucleotide polymorphisms (SNPs), and variants at the previously reported locus near HHIP. METHODS By sampling from 12 population-based studies (n = 31,422), we obtained genotype data on 3,284 COPD case subjects and 17,538 control subjects for sentinel SNPs in TNS1, GSTCD, HTR4, AGER, and THSD4. In 24,648 individuals (including 2,890 COPD case subjects and 13,862 control subjects), we additionally obtained genotypes for rs12504628 near HHIP. Each allele associated with lung function decline at these six SNPs contributed to a risk score. We studied the association of the risk score to lung function and COPD. MEASUREMENTS AND MAIN RESULTS Association with COPD was significant for three loci (TNS1, GSTCD, and HTR4) and the previously reported HHIP locus, and suggestive and directionally consistent for AGER and TSHD4. Compared with the baseline group (7 risk alleles), carrying 10-12 risk alleles was associated with a reduction in FEV1 (β = -72.21 ml, P = 3.90 × 10(-4)) and FEV1/FVC (β = -1.53%, P = 6.35 × 10(-6)), and with COPD (odds ratio = 1.63, P = 1.46 × 10(-5)). CONCLUSIONS Variants in TNS1, GSTCD, and HTR4 are associated with COPD. Our highest risk score category was associated with a 1.6-fold higher COPD risk than the population average score.

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Ida Surakka

National Institute for Health and Welfare

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